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Yang Y, Li J, Xiao Z, Yang X, Wang L, Duan Y, Zhao K, Liu A. Relationship between stress hyperglycemia ratio and prognosis in patients with aneurysmal subarachnoid hemorrhage: a two-center retrospective study. Neurosurg Rev 2024; 47:315. [PMID: 38992256 DOI: 10.1007/s10143-024-02549-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2024] [Revised: 05/31/2024] [Accepted: 07/03/2024] [Indexed: 07/13/2024]
Abstract
Previous research have demonstrated that the stress hyperglycemia ratio (SHR) accurately reflects acute hyperglycemic states and correlates with adverse outcomes. This study aims to explore the relationship between SHR and the prognosis of patients with aneurysmal subarachnoid hemorrhage (aSAH). Patients with aSAH were categorized into four groups based on SHR tertiles. Functional outcomes were evaluated at 12 months using the modified Rankin Scale (mRS), with scores ranging from 0 to 2 indicating a good outcome and 3-6 indicating a poor outcome. The associations between SHR and functional outcomes were analyzed using logistic regression models and restricted cubic spline analysis. A total of 127 patients exhibited poor functional outcomes. Following comprehensive adjustments, those in the highest SHR tertile had a significantly increased risk of poor prognosis compared to those in the lowest tertile (odds ratio [OR], 4.12; 95% confidence interval [CI]: 1.87-9.06). Moreover, each unit increase in SHR was associated with a 7.51-fold increase in the risk of poor prognosis (OR, 7.51; 95% CI: 3.19-17.70). Further analysis using restricted cubic spline confirmed a linear correlation between SHR and poor prognosis (P for nonlinearity = 0.609). Similar patterns were observed across all studied subgroups. Elevated SHR significantly correlates with poor functional prognosis at one year in patients with aSAH, independent of their diabetes status.
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Affiliation(s)
- Yibo Yang
- Hengyang Key Laboratory of Hemorrhagic Cerebrovascular Disease, Department of Neurosurgery, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
| | - Junting Li
- Department of Neurosurgery, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Zhenkun Xiao
- Hengyang Key Laboratory of Hemorrhagic Cerebrovascular Disease, Department of Neurosurgery, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
| | - Xiao Yang
- Department of Neurosurgery, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Ling Wang
- Hunan University of Environment and Biology, Hengyang, 421001, China
| | - YongHong Duan
- Hengyang Key Laboratory of Hemorrhagic Cerebrovascular Disease, Department of Neurosurgery, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
| | - Kaijun Zhao
- Department of Neurosurgery, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.
| | - Aihua Liu
- Hengyang Key Laboratory of Hemorrhagic Cerebrovascular Disease, Department of Neurosurgery, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China.
- Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.
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Huang H, Liu J, Li Q, Qiao L, Chen S, Kang Y, Lu X, Zhou Y, He Y, Chen J, Tan N, Liu J, Liu Y. Relationship between stress hyperglycemia and worsening heart failure in patients with significant secondary mitral regurgitation. Atherosclerosis 2024; 394:117306. [PMID: 37821270 DOI: 10.1016/j.atherosclerosis.2023.117306] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 09/17/2023] [Accepted: 09/20/2023] [Indexed: 10/13/2023]
Abstract
BACKGROUND AND AIMS Secondary mitral regurgitation (sMR), a major valvular disease, is prevalent in patients with coronary artery disease (CAD), and is associated with higher incidence of heart failure (HF) and mortality when present in combination with abnormal glucose metabolism. We aimed to evaluate the relationship between stress hyperglycemia ratio (SHR) and worsening HF in CAD patients with significant (grade ≥2) sMR. METHODS We performed a multi-center observational study of 874 participants with significant sMR following percutaneous coronary intervention (PCI) in the Cardiorenal Improvement-II (CIN-II) cohort. Patients with glucose and glycated hemoglobin (HbA1c) data at admission were included in the analysis, and categorized according to the SHR, the ratio of mmol/L blood glucose to % HbA1c, as quartiles: Q1: <0.74; Q2: 0.74-0.91; Q3: 0.91-1.14; and Q4: ≥1.14. The primary clinical endpoint was worsening HF and the secondary endpoint was major adverse cardiac events (MACE). RESULTS Of the 874 participants (64.1 ± 10.8 years, 80% male), 174 showed worsening HF and 226 developed MACE during a median follow-up of 3.7 years (interquartile range: 1.8-6.2 years). Compared to participants in the lowest quartile (Q1) of SHR, the highest quartile group (Q4) was at significantly higher risks of worsening HF (adjusted hazard ratio, 2.44; 95% confidence interval, 1.51-3.94; p< 0.001), while this was not associated with increased risk of MACE (p>0.05) after adjustment for potential covariates. For worsening HF, the results obtained for the normal glucose regulation subgroup may be more meaningful than those for the diabetes mellitus (DM) and pre-DM groups (p-interaction<0.001). For MACE, the acute myocardial infarction (AMI) (Q4 vs. Q1; HR: 0.65, 95%CI: 0.26-1.59) and non-AMI (Q4 vs. Q1; HR: 2.20, 95%CI: 1.36-3.54) subgroups differed significantly on MACE (p-interaction = 0.006). CONCLUSIONS Increasing SHR is associated with a higher risk of worsening of HF in patients with significant sMR, especially in those with normoglycemia.
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Affiliation(s)
- Haozhang Huang
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Southern Medical University, 510080, China; Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Jiulin Liu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Southern Medical University, 510080, China; Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Qiang Li
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Southern Medical University, 510080, China; Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China; Interventional Center of Valvular Heart Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Linfang Qiao
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Southern Medical University, 510080, China; Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Shiqun Chen
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Southern Medical University, 510080, China; Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Yu Kang
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Southern Medical University, 510080, China; Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Xiaozhao Lu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Southern Medical University, 510080, China; Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Yang Zhou
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Southern Medical University, 510080, China; Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Yibo He
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Southern Medical University, 510080, China; Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Jiyan Chen
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Southern Medical University, 510080, China; Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Ning Tan
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Southern Medical University, 510080, China; Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Jin Liu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Southern Medical University, 510080, China; Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
| | - Yong Liu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Southern Medical University, 510080, China; Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
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Pan H, Xiong Y, Huang Y, Zhao J, Wan H. Association between stress hyperglycemia ratio with short-term and long-term mortality in critically ill patients with ischemic stroke. Acta Diabetol 2024; 61:859-868. [PMID: 38499778 DOI: 10.1007/s00592-024-02259-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Accepted: 02/11/2024] [Indexed: 03/20/2024]
Abstract
AIMS Hyperglycemia on admission is associated with poor prognosis in ischemic stroke (IS) patients. We aimed to investigate the relationship between stress hyperglycemia ratio (SHR) and short-term or long-term mortality in IS patients in the ICU and to explore whether this relationship is influenced by diabetes status. MATERIALS AND METHODS We collected patients with severe IS requiring ICU admission in the Medical Information Mart for Intensive Care (MIMIC-IV) database and calculated SHR. Outcomes included 30-day, 90-day, and 1-year mortality. The association between SHR and mortality in patients with critical IS was elucidated using Multivariate Cox regression and subgroup analysis for diabetes. RESULTS A total of 1376 patients were recruited. After adjusting for potential confounders, patients in the third and fourth quartiles had a significantly increased risk of death at 30 days, 90 days, and 1 year compared to the first quartile of SHR (Q3 vs. Q1: HR 1.56-1.80, all p < 0.02; Q4 vs. Q1: HR 1.75-2.15, all p < 0.001; all p for trend < 0.001). In addition, the highest quartile of SHR was significantly associated with short-term or long-term mortality compared with the first quartile, regardless of diabetes status. CONCLUSIONS Our results suggest that stress hyperglycemia, defined by the glucose/HbA1c ratio, is associated with increased short-term and long-term mortality in patients with ischemic stroke, independent of the patient's diabetes status.
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Affiliation(s)
- Haowei Pan
- Second School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China
| | - Yiqun Xiong
- Second School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China
| | - Yanming Huang
- Second School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China
- Department of Anesthesiology, Hangzhou Red Cross Hospital, 208 East Huancheng Road, Hangzhou, 310003, China
| | - Jie Zhao
- Department of Anesthesiology, Hangzhou Red Cross Hospital, 208 East Huancheng Road, Hangzhou, 310003, China
| | - Haifang Wan
- Department of Anesthesiology, Hangzhou Red Cross Hospital, 208 East Huancheng Road, Hangzhou, 310003, China.
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WANG WJ, WANG KX, NIU JL, LIU YX, GE HL, SHEN H. Association between stress hyperglycemia ratio and in-hospital outcomes: findings from the improving Care for Cardiovascular Disease in China-Acute Coronary Syndrome (CCC-ACS) Project. J Geriatr Cardiol 2024; 21:658-668. [PMID: 38973822 PMCID: PMC11224654 DOI: 10.26599/1671-5411.2024.06.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/09/2024] Open
Abstract
BACKGROUND Stress hyperglycemia ratio (SHR) could provide accurate information on the acute status of hyperglycemia. The relationship between SHR and acute coronary syndrome (ACS) prognosis remains unclear. This study was conducted to identity the association between SHR and in-hospital outcomes in patients with ACS. METHODS A total of 12,010 patients were eventually enrolled in the study. The relationship between SHR and in-hospital major adverse cardiovascular events (MACEs) was then modeled by restricted cubic spline (RCS) curves, and all patients were divided into three groups according to the results. The multivariate logistic regression analysis was used to determine the associations between the SHR and in-hospital outcomes, described as odds ratios (ORs) and 95% confidence intervals (CIs). Subgroup analyses were also performed on different diseases. RESULTS The median age of this cohort was 63 (54, 71) years old, and 8942 (74.5%) were male. Group 1 was defined as SHR < 0.6 (n = 426), Group 2 was defined as SHR between 0.6 and 1 (n = 5821), and Group 3 was defined as SHR > 1 (n = 5763). Compared with Group 2, Group 1 (OR = 1.891, 95% CI: 1.028-3.479, P < 0.001) and Group 3 (OR = 1.868, 95% CI: 1.434-2.434, P < 0.001) had higher risks of suffering from in-hospital MACEs. SHR was associated with higher risks of in-hospital MACEs in the subgroups of DM [OR = 2.282, 95% CI: 1.477-3.524). CONCLUSIONS Both low and high SHR levels were independently associated with in-hospital MACEs. Young males with DM, hypertension, and decreased renal function had much higher risks of suffering from SHR-correlated MACEs.
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Affiliation(s)
- Wen-Jie WANG
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Ke-Xin WANG
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Jia-Long NIU
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Yi-Xuan LIU
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Hai-Long GE
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Hua SHEN
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
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Zhao S, Wang Z, Qing P, Li M, Liu Q, Wang K, Gao X, Zhao J, Wu Y. Association of the stress hyperglycemia ratio with coronary artery disease complexity as assessed by the SYNTAX score in patients with acute coronary syndrome. Diabetol Metab Syndr 2024; 16:139. [PMID: 38918810 PMCID: PMC11197361 DOI: 10.1186/s13098-024-01382-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2024] [Accepted: 06/13/2024] [Indexed: 06/27/2024] Open
Abstract
BACKGROUND Mounting evidence supports a significant correlation between the stress hyperglycemia ratio (SHR) and both short- and long-term prognoses in patients with acute coronary syndrome (ACS). Nevertheless, research examining the association between the SHR and the complexity of coronary artery disease (CAD) is scarce. Therefore, this study aimed to explore the association between the SHR and CAD complexity, as assessed by the SYNTAX score, in patients with ACS. METHODS A total of 4715 patients diagnosed with ACS were enrolled and divided into five groups according to the quintiles of the SHR. CAD complexity was assessed using the SYNTAX score and categorized as low (≤ 22) or mid/high (> 22) levels. Logistic regression was utilized to examine the association between the SHR and CAD severity (mid-/high SYNTAX score). Restricted cubic spline (RCS) curves were generated to assess the association between the SHR and CAD severity. Subgroup analyses were conducted to stratify outcomes based on age, sex, diabetes mellitus (DM) status, and clinical presentation. RESULTS Among the total ACS population, 503 (10.7%) patients had mid/high SYNTAX scores. Logistic regression analysis revealed that the SHR was an independent risk factor for mid/high SYNTAX scores in a U-shaped pattern. After adjusting for confounding variables, Q1 and Q5 demonstrated elevated odds ratios (ORs) relative to the reference category Q3, with ORs of 1.61 (95% CI: 1.19 ∼ 2.19) and 1.68 (95% CI: 1.24 ∼ 2.29), respectively. Moreover, the ORs for Q2 (1.02, 95% CI: 0.73 ∼ 1.42) and Q4 (1.18, 95% CI: 0.85 ∼ 1.63) resembled that of Q3. Compared with the merged Q2-4 group, the ORs were 1.52 (95% CI: 1.21 ∼ 1.92) for Q1 group and 1.58 (95% CI: 1.25 ∼ 2) for the Q5 group. Subgroup analysis revealed that the U-shaped association between the SHR and mid/high SYNTAX score was attenuated in DM patients (P for interaction = 0.045). CONCLUSIONS There were U-shaped associations between the SHR and CAD complexity in ACS patients, with an SHR ranging from 0.68 to 0.875 indicating a relatively lower OR for mid/high SYNTAX scores. Further studies are necessary to both evaluate the predictive value of the SHR in ACS patients and explore the underlying mechanisms of the observed U-shaped associations.
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Affiliation(s)
- Sheng Zhao
- Fuwai Hospital, National Centre for Cardiovascular Diseases, National Clinical Research Centre for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zuoxiang Wang
- Fuwai Hospital, National Centre for Cardiovascular Diseases, National Clinical Research Centre for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ping Qing
- Fuwai Hospital, National Centre for Cardiovascular Diseases, National Clinical Research Centre for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Minghui Li
- Fuwai Hospital, National Centre for Cardiovascular Diseases, National Clinical Research Centre for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Qingrong Liu
- Department of Cardiology, Beijing Aerospace General Hospital, Beijing, China
| | - Keke Wang
- Department of Cardiology, the Second Medical Centre, Chinese PLA General Hospital, Beijing, China
| | - Xiaojin Gao
- Fuwai Hospital, National Centre for Cardiovascular Diseases, National Clinical Research Centre for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
- Fuwai Hospital, National Centre for Cardiovascular Diseases, National Clinical Research Centre for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No.167 North Lishi Road, Xicheng District, Beijing, 100037, China.
| | - Jie Zhao
- Fuwai Hospital, National Centre for Cardiovascular Diseases, National Clinical Research Centre for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
- Fuwai Hospital, National Centre for Cardiovascular Diseases, National Clinical Research Centre for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No.167 North Lishi Road, Xicheng District, Beijing, 100037, China.
| | - Yongjian Wu
- Fuwai Hospital, National Centre for Cardiovascular Diseases, National Clinical Research Centre for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
- Fuwai Hospital, National Centre for Cardiovascular Diseases, National Clinical Research Centre for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No.167 North Lishi Road, Xicheng District, Beijing, 100037, China.
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Hu B, Chen X, Wang Y, Wei X, Feng J, Hou L. J-shaped relationship between stress hyperglycemia ratio and 90-day and 180-day mortality in patients with a first diagnosis of acute myocardial infarction: analysis of the MIMIC-IV database. Diabetol Metab Syndr 2024; 16:132. [PMID: 38880917 PMCID: PMC11181615 DOI: 10.1186/s13098-024-01380-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2023] [Accepted: 06/11/2024] [Indexed: 06/18/2024] Open
Abstract
AIMS The Stress Hyperglycemia Ratio (SHR) potently predicts adverse outcomes in patients with cardiovascular and cerebrovascular diseases. However, the relationship between SHR and short-term mortality risk in patients with a first diagnosis of acute myocardial infarction (AMI) remains contentious. This study sought to understand better the relationship between SHR and short-term mortality risk in patients with a first diagnosis of AMI. METHODS We conducted a cohort study using data from 1961 patients with a first diagnosis of AMI from the MIMIC-IV (version 2.2) database. Patients were divided into three groups based on SHR tertiles. The Cox proportional hazards model and a two-segmented Cox proportional hazards model were used to elucidate the nonlinear relationship between SHR in patients with a first diagnosis of AMI and mortality. RESULTS Of the surveyed population, 175 patients (8.92%) died within 90 days, and 210 patients (10.71%) died within 180 days. After multivariate adjustments, elevated SHR levels were significantly and non-linearly associated with a higher risk of 90-day and 180-day mortality in patients with a first diagnosis of AMI, showing a J-shaped correlation with an inflection point at 0.9. Compared to participants with SHR levels below the inflection point, those with higher SHR levels had a fivefold increased risk of 90-day mortality (hazard ratio [HR] 5.74; 95% confidence interval [CI] 3.19, 10.33) and a fourfold increased risk of 180-day mortality (HR 4.56; 95% CI 2.62, 7.95). In the subgroup analysis, patients with pre-diabetes mellitus (pre-DM) and higher SHR levels had increased 90-day (HR 6.90; 95% CI 1.98, 24.02) and 180-day mortality risks (HR 5.30; 95% CI 1.96, 14.27). CONCLUSION In patients with a first diagnosis of AMI, there is a J-shaped correlation between SHR and 90-day and 180-day mortality, with an adverse prognostic inflection point of SHR at 0.9.
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Affiliation(s)
- Ben Hu
- Department of Cardiology, The Second People's Hospital of Hefei, Hefei Hospital Affiliated to Anhui Medical University, Hefei, 230011, Anhui, China
- The Fifth Clinical Medical School of Anhui Medical University, Hefei, 230000, Anhui, China
| | - Xinghua Chen
- Hefei Hospital Affiliated to Anhui Medical University, Hefei, 230011, Anhui, China
| | - Yuhui Wang
- Department of Cardiology, The Second People's Hospital of Hefei, Hefei Hospital Affiliated to Anhui Medical University, Hefei, 230011, Anhui, China
| | - Xing Wei
- Department of Cardiology, The Second People's Hospital of Hefei, Hefei Hospital Affiliated to Anhui Medical University, Hefei, 230011, Anhui, China
| | - Jun Feng
- Department of Cardiology, The Second People's Hospital of Hefei, Hefei Hospital Affiliated to Anhui Medical University, Hefei, 230011, Anhui, China.
| | - Linlin Hou
- Department of Cardiology, The Second People's Hospital of Hefei, Hefei Hospital Affiliated to Anhui Medical University, Hefei, 230011, Anhui, China.
- The Fifth Clinical Medical School of Anhui Medical University, Hefei, 230000, Anhui, China.
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Shi J, Zhang H, Wang X, Weng J, Ding Y, Wu J, Zheng X, Luo S, Hu H. Association of perioperative glucose profiles assessed by continuous glucose monitoring (CGM) with prognosis in Chinese patients with non-ST-elevation acute coronary syndrome: a cohort study protocol. BMJ Open 2024; 14:e079666. [PMID: 38866564 PMCID: PMC11177667 DOI: 10.1136/bmjopen-2023-079666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 01/18/2024] [Indexed: 06/14/2024] Open
Abstract
INTRODUCTION Non-ST-elevation acute coronary syndrome (NSTE-ACS) remains a significant clinical concern, accounting for over 70% of acute coronary syndrome cases. One well-established risk factor for NSTE-ACS is abnormal glucose metabolism, which is associated with a poor prognosis postpercutaneous coronary intervention. Effective monitoring of blood glucose is crucial in diabetes care, as it helps identify glucose metabolic imbalances, thereby guiding therapeutic strategies and assessing treatment efficacy. Continuous glucose monitoring (CGM) provides comprehensive glucose profiles. Therefore, the study aims to use CGM to track perioperative glucose variations in NSTE-ACS patients and to determine its prognostic implications. METHODS AND ANALYSIS This is a multicentre, prospective observational study in a sample of patients (aged >18 years) with NSTE-ACS. A total of 1200 eligible patients will be recruited within 1 year at 6 sites in China. The primary composite endpoint will be determined as major adverse cardiovascular events (MACE) at 3 years. MACE includes all-cause mortality, non-fatal myocardial infarction, non-fatal stroke and target vessel revascularisation. Employing the CGM system, glucose levels will be continuously monitored throughout the perioperative phase. Prespecified cardiovascular analyses included analyses of the components of this composite and outcomes according to CGM-derived glucometrics at baseline. ETHICS AND DISSEMINATION This study has received approval from the Medical Research Ethics Committee of The First Affiliated Hospital of the University of Science and Technology of China (No. 2022KY357) and will adhere to the moral, ethical and scientific principles outlined in the Declaration of Helsinki. All participants will provide written informed consent prior to any study-related procedures. Findings from the study will be shared at conferences and published in peer-reviewed scientific journals. TRIAL REGISTRATION NUMBER ChiCT2300069663.
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Affiliation(s)
- Jie Shi
- Department of Endocrinology, Centre for Leading Medicine and Advanced Technologies of IHM, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China, University of Science and Technology of China, Hefei, Anhui, China
| | - Hongqiang Zhang
- Department of Endocrinology, Centre for Leading Medicine and Advanced Technologies of IHM, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China, University of Science and Technology of China, Hefei, Anhui, China
| | - Xulin Wang
- Department of Endocrinology, Centre for Leading Medicine and Advanced Technologies of IHM, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China, University of Science and Technology of China, Hefei, Anhui, China
| | - Jiahao Weng
- Department of Endocrinology, Centre for Leading Medicine and Advanced Technologies of IHM, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China, University of Science and Technology of China, Hefei, Anhui, China
| | - Yu Ding
- Department of Endocrinology, Centre for Leading Medicine and Advanced Technologies of IHM, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China, University of Science and Technology of China, Hefei, Anhui, China
| | - Jiawei Wu
- Department of Cardiology, The First Affiliated Hospital of USTC, Division of Life Science and Medicine, University of Science and Technology of China, Hefei, Anhui, China
| | - Xueying Zheng
- Department of Endocrinology, Centre for Leading Medicine and Advanced Technologies of IHM, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China, University of Science and Technology of China, Hefei, Anhui, China
| | - Sihui Luo
- Department of Endocrinology, Centre for Leading Medicine and Advanced Technologies of IHM, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China, University of Science and Technology of China, Hefei, Anhui, China
| | - Hao Hu
- Department of Cardiology, The First Affiliated Hospital of USTC, Division of Life Science and Medicine, University of Science and Technology of China, Hefei, Anhui, China
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Qiu S, Liu X, Lei L, Liang H, Li X, Wang Y, Yu C, Li X, Tang Y, Wu J, Wang Y, Zha D, Liu X, Xiao M, Xiu J. Association between the stress-hyperglycemia ratio and all-cause mortality in community-dwelling populations: An analysis of the National Health and Nutrition Examination Survey (NHANES) 1999-2014. J Diabetes 2024; 16:e13567. [PMID: 38769875 PMCID: PMC11106591 DOI: 10.1111/1753-0407.13567] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Revised: 02/01/2024] [Accepted: 04/01/2024] [Indexed: 05/22/2024] Open
Abstract
BACKGROUND Reportedly, the stress-hyperglycemia ratio (SHR) is closely associated with poor prognosis in patients with severe acute disease. However, the community-dwelling may also be in a state of stress due to environmental exposure. Our study aimed to explore the association between SHR and all-cause mortality in the community-dwelling population. METHODS A total of 18 480 participants were included out of 82 091 from the NHANES 1999-2014 survey. The Kaplan-Meier survival analyses were used to assess the disparities in survival rates based on SHR, and the log-rank test was employed to investigate the distinctions between groups. The multivariate Cox regression analysis and restricted cubic spline (RCS) analysis were performed to assess the association of SHR with all-cause mortality. A subgroup analysis was also conducted. RESULTS A total of 3188 deaths occurred during a median follow-up period of 11.0 (7.7; 15.4) years. The highest risk for all-cause mortality was observed when SHR≤ 0.843 or SHR ≥0.986 (log-rank p < .001). After adjusting for the confounding factors, compared with subjects in the second SHR quartile (Q2), participants in the highest (Q4, adjusted hazard ratio [HR] 1.49, 95% confidence interval [CI] 1.28-1.73) and lowest quartiles (Q1, adjusted HR 1.37, 95% CI 1.16-1.60) have a higher probability of all-cause death. The RCS observed a dose-response U-shaped association between SHR and all-cause mortality. The U-shaped association between SHR and all-cause mortality was similar across subgroup analysis. CONCLUSIONS The SHR was significantly associated with all-cause mortality in the community-dwelling population, and the relationship was U-shaped.
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Affiliation(s)
- Shifeng Qiu
- Department of CardiologyNanfang Hospital, Southern Medical UniversityGuangzhouChina
- Guangdong Provincial Key Laboratory of Shock and MicrocirculationNanfang Hospital, Southern Medical UniversityGuangzhouChina
- State Key Laboratory of Organ Failure ResearchNanfang Hospital, Southern Medical UniversityGuangzhouChina
| | - Xiaocong Liu
- Department of CardiologyNanfang Hospital, Southern Medical UniversityGuangzhouChina
- Guangdong Provincial Key Laboratory of Shock and MicrocirculationNanfang Hospital, Southern Medical UniversityGuangzhouChina
- State Key Laboratory of Organ Failure ResearchNanfang Hospital, Southern Medical UniversityGuangzhouChina
| | - Li Lei
- Department of CardiologyShenzhen People's Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology)ShenzhenChina
| | - Hongbin Liang
- Department of CardiologyNanfang Hospital, Southern Medical UniversityGuangzhouChina
- Guangdong Provincial Key Laboratory of Shock and MicrocirculationNanfang Hospital, Southern Medical UniversityGuangzhouChina
- State Key Laboratory of Organ Failure ResearchNanfang Hospital, Southern Medical UniversityGuangzhouChina
| | - Xue Li
- Department of GastroenterologyNanfang Hospital, Southern Medical UniversityGuangzhouChina
| | - Yutian Wang
- Department of CardiologyNanfang Hospital, Southern Medical UniversityGuangzhouChina
- Guangdong Provincial Key Laboratory of Shock and MicrocirculationNanfang Hospital, Southern Medical UniversityGuangzhouChina
- State Key Laboratory of Organ Failure ResearchNanfang Hospital, Southern Medical UniversityGuangzhouChina
| | - Chen Yu
- Department of CardiologyNanfang Hospital, Southern Medical UniversityGuangzhouChina
- Guangdong Provincial Key Laboratory of Shock and MicrocirculationNanfang Hospital, Southern Medical UniversityGuangzhouChina
- State Key Laboratory of Organ Failure ResearchNanfang Hospital, Southern Medical UniversityGuangzhouChina
| | - Xiaobo Li
- Department of CardiologyXiangdong Hospital Affiliated to Hunan Normal UniversityZhuzhouChina
| | - Yongzhen Tang
- Department of CardiologyNanfang Hospital, Southern Medical UniversityGuangzhouChina
- Guangdong Provincial Key Laboratory of Shock and MicrocirculationNanfang Hospital, Southern Medical UniversityGuangzhouChina
- State Key Laboratory of Organ Failure ResearchNanfang Hospital, Southern Medical UniversityGuangzhouChina
| | - Juefei Wu
- Department of CardiologyNanfang Hospital, Southern Medical UniversityGuangzhouChina
- Guangdong Provincial Key Laboratory of Shock and MicrocirculationNanfang Hospital, Southern Medical UniversityGuangzhouChina
- State Key Laboratory of Organ Failure ResearchNanfang Hospital, Southern Medical UniversityGuangzhouChina
| | - Yuegang Wang
- Department of CardiologyNanfang Hospital, Southern Medical UniversityGuangzhouChina
- Guangdong Provincial Key Laboratory of Shock and MicrocirculationNanfang Hospital, Southern Medical UniversityGuangzhouChina
- State Key Laboratory of Organ Failure ResearchNanfang Hospital, Southern Medical UniversityGuangzhouChina
| | - Daogang Zha
- Department of CardiologyNanfang Hospital, Southern Medical UniversityGuangzhouChina
- Guangdong Provincial Key Laboratory of Shock and MicrocirculationNanfang Hospital, Southern Medical UniversityGuangzhouChina
- State Key Laboratory of Organ Failure ResearchNanfang Hospital, Southern Medical UniversityGuangzhouChina
- Department of General PracticeNanfang Hospital, Southern Medical UniversityGuangzhouChina
| | - Xuewei Liu
- Guangdong Provincial Key Laboratory of Shock and MicrocirculationNanfang Hospital, Southern Medical UniversityGuangzhouChina
- The First School of Clinical MedicineSouthern Medical UniversityDongguanChina
| | - Min Xiao
- Department of CardiologyNanfang Hospital, Southern Medical UniversityGuangzhouChina
- Guangdong Provincial Key Laboratory of Shock and MicrocirculationNanfang Hospital, Southern Medical UniversityGuangzhouChina
- State Key Laboratory of Organ Failure ResearchNanfang Hospital, Southern Medical UniversityGuangzhouChina
| | - Jiancheng Xiu
- Department of CardiologyNanfang Hospital, Southern Medical UniversityGuangzhouChina
- Guangdong Provincial Key Laboratory of Shock and MicrocirculationNanfang Hospital, Southern Medical UniversityGuangzhouChina
- State Key Laboratory of Organ Failure ResearchNanfang Hospital, Southern Medical UniversityGuangzhouChina
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Qiao Z, Bian X, Song C, Zhang R, Yuan S, Lin Z, Zhu C, Liu Q, Ma W, Dou K. High stress hyperglycemia ratio predicts adverse clinical outcome in patients with coronary three-vessel disease: a large-scale cohort study. Cardiovasc Diabetol 2024; 23:190. [PMID: 38824608 PMCID: PMC11144339 DOI: 10.1186/s12933-024-02286-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/02/2024] [Accepted: 05/24/2024] [Indexed: 06/03/2024] Open
Abstract
BACKGROUND Coronary three-vessel disease (CTVD) accounts for one-third of the overall incidence of coronary artery disease, with heightened mortality rates compared to single-vessel lesions, including common trunk lesions. Dysregulated glucose metabolism exacerbates atherosclerosis and increases cardiovascular risk. The stress hyperglycemia ratio (SHR) is proposed as an indicator of glucose metabolism status but its association with cardiovascular outcomes in CTVD patients undergoing percutaneous coronary intervention (PCI) remains unclear. METHODS 10,532 CTVD patients undergoing PCI were consecutively enrolled. SHR was calculated using the formula: admission blood glucose (mmol/L)/[1.59×HbA1c (%)-2.59]. Patients were divided into two groups (SHR Low and SHR High) according to the optimal cutoff value of SHR. Multivariable Cox regression models were used to assess the relationship between SHR and long-term prognosis. The primary endpoint was cardiovascular (CV) events, composing of cardiac death and non-fatal myocardial infarction (MI). RESULTS During the median follow-up time of 3 years, a total of 279 cases (2.6%) of CV events were recorded. Multivariable Cox analyses showed that high SHR was associated with a significantly higher risk of CV events [Hazard Ratio (HR) 1.99, 95% Confidence interval (CI) 1.58-2.52, P < 0.001). This association remained consistent in patients with (HR 1.50, 95% CI 1.08-2.10, P = 0.016) and without diabetes (HR 1.97, 95% CI 1.42-2.72, P < 0.001). Additionally, adding SHR to the base model of traditional risk factors led to a significant improvement in the C-index, net reclassification and integrated discrimination. CONCLUSIONS SHR was a significant predictor for adverse CV outcomes in CTVD patients with or without diabetes, which suggested that it could aid in the risk stratification in this particular population regardless of glucose metabolism status.
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Affiliation(s)
- Zheng Qiao
- State Key Laboratory of Cardiovascular Disease, Beijing, China
- Cardiometabolic Medicine Center, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167A, Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Xiaohui Bian
- State Key Laboratory of Cardiovascular Disease, Beijing, China
- Cardiometabolic Medicine Center, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167A, Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Chenxi Song
- State Key Laboratory of Cardiovascular Disease, Beijing, China
- Cardiometabolic Medicine Center, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167A, Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Rui Zhang
- State Key Laboratory of Cardiovascular Disease, Beijing, China
- Cardiometabolic Medicine Center, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167A, Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Sheng Yuan
- State Key Laboratory of Cardiovascular Disease, Beijing, China
- Cardiometabolic Medicine Center, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167A, Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Zhangyu Lin
- State Key Laboratory of Cardiovascular Disease, Beijing, China
- Cardiometabolic Medicine Center, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167A, Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Chenggang Zhu
- State Key Laboratory of Cardiovascular Disease, Beijing, China
- Cardiometabolic Medicine Center, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167A, Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Qianqian Liu
- Cardiometabolic Medicine Center, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167A, Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Wenjun Ma
- Hypertension Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167A, Beilishi Road, Xicheng District, Beijing, 100037, China.
| | - Kefei Dou
- State Key Laboratory of Cardiovascular Disease, Beijing, China.
- Cardiometabolic Medicine Center, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167A, Beilishi Road, Xicheng District, Beijing, 100037, China.
- National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital Chinese Academy of Medical Sciences, Shenzhen, Shenzhen, China.
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10
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Savic L, Mrdovic I, Asanin M, Stankovic S, Lasica R, Krljanac G, Simic D, Matic D. Long-Term Prognostic Impact of Stress Hyperglycemia in Non-Diabetic Patients Treated with Successful Primary Percutaneous Coronary Intervention. J Pers Med 2024; 14:591. [PMID: 38929812 PMCID: PMC11204510 DOI: 10.3390/jpm14060591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2024] [Revised: 05/17/2024] [Accepted: 05/27/2024] [Indexed: 06/28/2024] Open
Abstract
BACKGROUND stress hyperglicemia (SH) is common in patients with ST-elevation myocardial infraction (STEMI). The aims of this study were to analyze the impact of SH on the incidence of all-cause mortality and major adverse cardiovascular events (MACE-cardiovascular death, nonfatal reinfarction, target vessel revascularization, and stroke) in STEMI patients without diabetes mellitus (DM) who have been treated successfully with primary PCI (pPCI). METHOD we analyzed 2362 STEMI patients treated with successful pPCI (post-procedural flow TIMI = 3) and without DM and cardiogenic shock at admission. Stress hyperglycemia was defined as plasma glucose level above 7.8 mmol/L at admission. The follow-up period was 8 years. RESULTS incidence of SH was 26.9%. Eight-year all-cause mortality and MACE rates were significantly higher in patients with SH, as compared to patients without SH (9.7% vs. 4.2%, p < 0.001, and 15.7% vs. 9.4%, p < 0.001). SH was an independent predictor of short- and long-term all-cause mortality (HR 2.19, 95%CI 1.16-4.18, and HR 1.99, 95%CI 1.03-3.85) and MACE (HR 1.49, 95%CI 1.03-2.03, and HR 1.35, 95%CI 1.03-1.89). CONCLUSION despite successful revascularization, SH at admission was an independent predictor of short-term and long-term (up to eight years) all-cause mortality and MACE, but its negative prognostic impact was stronger in short-term follow-up.
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Affiliation(s)
- Lidija Savic
- Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia; (I.M.); (M.A.); (R.L.); (G.K.); (D.M.)
- Emergency Center, Cardiology Intensive Care Unit & Cardiology Clinic, University Clinical Center of Serbia, 11000 Belgrade, Serbia;
| | - Igor Mrdovic
- Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia; (I.M.); (M.A.); (R.L.); (G.K.); (D.M.)
- Emergency Center, Cardiology Intensive Care Unit & Cardiology Clinic, University Clinical Center of Serbia, 11000 Belgrade, Serbia;
| | - Milika Asanin
- Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia; (I.M.); (M.A.); (R.L.); (G.K.); (D.M.)
- Emergency Center, Cardiology Intensive Care Unit & Cardiology Clinic, University Clinical Center of Serbia, 11000 Belgrade, Serbia;
| | - Sanja Stankovic
- Emergency Center, Center for Medical Biochemistry, University Clinical Center of Serbia, 11000 Belgrade, Serbia;
| | - Ratko Lasica
- Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia; (I.M.); (M.A.); (R.L.); (G.K.); (D.M.)
- Emergency Center, Cardiology Intensive Care Unit & Cardiology Clinic, University Clinical Center of Serbia, 11000 Belgrade, Serbia;
| | - Gordana Krljanac
- Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia; (I.M.); (M.A.); (R.L.); (G.K.); (D.M.)
- Emergency Center, Cardiology Intensive Care Unit & Cardiology Clinic, University Clinical Center of Serbia, 11000 Belgrade, Serbia;
| | - Damjan Simic
- Emergency Center, Cardiology Intensive Care Unit & Cardiology Clinic, University Clinical Center of Serbia, 11000 Belgrade, Serbia;
| | - Dragan Matic
- Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia; (I.M.); (M.A.); (R.L.); (G.K.); (D.M.)
- Emergency Center, Cardiology Intensive Care Unit & Cardiology Clinic, University Clinical Center of Serbia, 11000 Belgrade, Serbia;
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11
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Lian LY, Xue WH, Lu JJ, Zheng RJ. Impact of stress hyperglycemia ratio on mortality in patients with cardiac arrest: insight from American MIMIC-IV database. Front Endocrinol (Lausanne) 2024; 15:1383993. [PMID: 38836227 PMCID: PMC11148256 DOI: 10.3389/fendo.2024.1383993] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Accepted: 05/06/2024] [Indexed: 06/06/2024] Open
Abstract
Background Stress hyperglycemia ratio (SHR) has shown a predominant correlation with transient adverse events in critically ill patients. However, there remains a gap in comprehensive research regarding the association between SHR and mortality among patients experiencing cardiac arrest and admitted to the intensive care unit (ICU). Methods A total of 535 patients with their initial ICU admission suffered cardiac arrest, according to the American Medical Information Mart for Intensive Care (MIMIC)-IV database. Patients were stratified into four categories based on quantiles of SHR. Multivariable Cox regression models were used to evaluate the association SHR and mortality. The association between SHR and mortality was assessed using multivariable Cox regression models. Subgroup analyses were conducted to determine whether SHR influenced ICU, 1-year, and long-term all-cause mortality in subgroups stratified according to diabetes status. Results Patients with higher SHR, when compared to the reference quartile 1 group, exhibited a greater risk of ICU mortality (adjusted hazard ratio [aHR] = 3.029; 95% CI: 1.802-5.090), 1-year mortality (aHR = 3.057; 95% CI: 1.885-4.958), and long-term mortality (aHR = 3.183; 95% CI: 2.020-5.015). This association was particularly noteworthy among patients without diabetes, as indicated by subgroup analysis. Conclusion Elevated SHR was notably associated with heightened risks of ICU, 1-year, and long-term all-cause mortality among cardiac arrest patients. These findings underscore the importance of considering SHR as a potential prognostic factor in the critical care management of cardiac arrest patients, warranting further investigation and clinical attention.
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Affiliation(s)
- Li-You Lian
- Department of Cardiology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Wei-Hao Xue
- Department of Cardiology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
| | - Jia-Jia Lu
- Department of Public Education, Zhangzhou Institute of Technology, Zhangzhou, China
| | - Ru-Jie Zheng
- Department of Radiology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
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12
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Li Y, Zhang L, Liu W, Deng J, Liu J, Zhou Y, Feng L, Chen J. The impact of the stress hyperglycemia ratio on the risk of contrast-associated acute kidney injury in patients undergoing coronary angiography: a large real-world cohort study. Diabetol Metab Syndr 2024; 16:107. [PMID: 38773666 PMCID: PMC11107003 DOI: 10.1186/s13098-024-01345-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Accepted: 05/03/2024] [Indexed: 05/24/2024] Open
Abstract
BACKGROUND Contrast-associated acute kidney injury (CA-AKI) is an important complication in the perioperative period of coronary angiography (CAG). Dysglycemia is closely associated with the occurrence of CA-AKI. However, the association between stress hyperglycemia and CA-AKI in patients undergoing CAG remains unclear. The study aims to investigate the association of the stress hyperglycemia ratio (SHR) and CA-AKI under CAG in a large real-world cohort. METHODS This was a retrospective observational study, and patients undergoing CAG were enrolled. SHR is calculated by dividing the random blood glucose with the estimated average glucose derived from the glycosylated hemoglobin (HbA1c), and subjects were divided into five groups according to SHR. The outcome was CA-AKI defined as an increase in serum creatinine of ≥ 0.3 mg/dL (26.5 μmol/L) or 1.5-fold higher than normal levels in 48 h. The association was assessed with logistic regression and restricted cubic spline analysis. RESULTS In 19,965 participants (men: 73.3%, mean age: 63.1 ± 10.8 years) undergoing CAG, a total of 1,621 CA-AKI cases occurred. There were reverse J-shaped associations between the SHR and CA-AKI after adjustment for other confounding factors. Moreover, SHR improved the predictive effectiveness of the traditional Mehran score (AUC 0.65 vs 0.63, P < 0.001), a predictive model of CA-AKI in patients undergoing percutaneous coronary intervention. CONCLUSIONS There were reverse J-shaped associations of SHR with CA-AKI risk among patients undergoing CAG, and the assessment of SHR before CAG may assist clinicians in identifying patients at higher risk of CA-AKI.
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Affiliation(s)
- Yuqi Li
- Department of Cardiology, Zhongshan City People's Hospital, Zhongshan, 528400, China
| | - Liting Zhang
- Department of Cardiology, Zhongshan City People's Hospital, Zhongshan, 528400, China
| | - Weiqi Liu
- Department of Cardiology, Zhongshan City People's Hospital, Zhongshan, 528400, China
| | - Jingru Deng
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
- Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Jin Liu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
- Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Yang Zhou
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
- Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Li Feng
- Department of Cardiology, Zhongshan City People's Hospital, Zhongshan, 528400, China
| | - Jiyan Chen
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
- Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
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13
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Defante MLR, Mendes BX, de Souza MDM, De Hollanda Morais BADA, Martins OC, Prizão VM, Parolin SAEC. Tight Versus Liberal Blood Glucose Control in Patients With Diabetes in the ICU: A Meta-Analysis of Randomized Controlled Trials. J Intensive Care Med 2024:8850666241255671. [PMID: 38751353 DOI: 10.1177/08850666241255671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/06/2024]
Abstract
Introduction: Glycemia is an important factor among critically ill patients in the intensive care unit (ICU). There is conflicting evidence on the preferred strategy of blood glucose control among patients with diabetes in the ICU. We aimed to conduct a meta-analysis comparing tight with liberal blood glucose in critically ill patients with diabetes in the ICU. Methods: We systematically searched PubMed, Embase, and Cochrane Central for randomized controlled trials (RCTs) comparing tight versus liberal blood glucose control in critically ill patients with diabetes from inception to December 2023. We pooled odds-ratios (OR) and 95% confidence intervals (CI) with a random-effects model for binary endpoints. We used the Review Manager 5.17 and R version 4.3.2 for statistical analyses. Risk of bias assessment was performed with the Cochrane tool for randomized trials (RoB2). Results: Eight RCTs with 4474 patients were included. There was no statistically significant difference in all-cause mortality (OR 1.11; 95% CI 0.95-1.28; P = .18; I² = 0%) between a tight and liberal blood glucose control. RoB2 identified all studies at low risk of bias and funnel plot suggested no evidence of publication bias. Conclusion: In patients with diabetes in the ICU, there was no statistically significant difference in all-cause mortality between a tight and liberal blood glucose control. PROSPERO registration: CRD42023485032.
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Affiliation(s)
- Maria L R Defante
- Department of Medicine, Redentor University Center, Itaperuna, Brazil
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14
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Yan F, Chen X, Quan X, Wang L, Wei X, Zhu J. Association between the stress hyperglycemia ratio and 28-day all-cause mortality in critically ill patients with sepsis: a retrospective cohort study and predictive model establishment based on machine learning. Cardiovasc Diabetol 2024; 23:163. [PMID: 38725059 PMCID: PMC11084034 DOI: 10.1186/s12933-024-02265-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2023] [Accepted: 05/03/2024] [Indexed: 05/12/2024] Open
Abstract
BACKGROUND Sepsis is a severe form of systemic inflammatory response syndrome that is caused by infection. Sepsis is characterized by a marked state of stress, which manifests as nonspecific physiological and metabolic changes in response to the disease. Previous studies have indicated that the stress hyperglycemia ratio (SHR) can serve as a reliable predictor of adverse outcomes in various cardiovascular and cerebrovascular diseases. However, there is limited research on the relationship between the SHR and adverse outcomes in patients with infectious diseases, particularly in critically ill patients with sepsis. Therefore, this study aimed to explore the association between the SHR and adverse outcomes in critically ill patients with sepsis. METHODS Clinical data from 2312 critically ill patients with sepsis were extracted from the MIMIC-IV (2.2) database. Based on the quartiles of the SHR, the study population was divided into four groups. The primary outcome was 28-day all-cause mortality, and the secondary outcome was in-hospital mortality. The relationship between the SHR and adverse outcomes was explored using restricted cubic splines, Cox proportional hazard regression, and Kaplan‒Meier curves. The predictive ability of the SHR was assessed using the Boruta algorithm, and a prediction model was established using machine learning algorithms. RESULTS Data from 2312 patients who were diagnosed with sepsis were analyzed. Restricted cubic splines demonstrated a "U-shaped" association between the SHR and survival rate, indicating that an increase in the SHR is related to an increased risk of adverse events. A higher SHR was significantly associated with an increased risk of 28-day mortality and in-hospital mortality in patients with sepsis (HR > 1, P < 0.05) compared to a lower SHR. Boruta feature selection showed that SHR had a higher Z score, and the model built using the rsf algorithm showed the best performance (AUC = 0.8322). CONCLUSION The SHR exhibited a U-shaped relationship with 28-day all-cause mortality and in-hospital mortality in critically ill patients with sepsis. A high SHR is significantly correlated with an increased risk of adverse events, thus indicating that is a potential predictor of adverse outcomes in patients with sepsis.
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Affiliation(s)
- Fengjuan Yan
- Department of Geriatrics, Shenzhen Longhua District Central Hospital, Shenzhen, Guangdong, China
| | - Xiehui Chen
- Department of Geriatrics, Shenzhen Longhua District Central Hospital, Shenzhen, Guangdong, China
| | - Xiaoqing Quan
- Department of Geriatrics, Shenzhen Longhua District Central Hospital, Shenzhen, Guangdong, China
| | - Lili Wang
- Department of Cardiology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
| | - Xinyi Wei
- Department of Cardiology, The Third Hospital of Jinan, Jinan, Shandong, China
| | - Jialiang Zhu
- The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China.
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15
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Li L, Zhou L, Peng X, Zhang Z, Zhang Z, Xiong Y, Hu Z, Yao Y. Association of stress hyperglycemia ratio and mortality in patients with sepsis: results from 13,199 patients. Infection 2024:10.1007/s15010-024-02264-3. [PMID: 38679664 DOI: 10.1007/s15010-024-02264-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Accepted: 04/08/2024] [Indexed: 05/01/2024]
Abstract
BACKGROUND The stress hyperglycemia ratio (SHR), adjusted for average glycemic status, is suggested for assessing actual blood glucose levels. Its link with adverse outcomes is known in certain populations, yet its impact on sepsis patients' prognosis is unclear. This study explores the association between SHR and mortality in sepsis. METHODS We included 13,199 sepsis patients in this study and categorized SHR into distinct groups. Additionally, we utilized restricted cubic spline analysis to evaluate the correlation between SHR as a continuous variable and mortality. The primary outcome was 1-year all-cause mortality. Logistic regression and Cox proportional hazards models were employed to assess the associations between the SHR and both in-hospital mortality and 1-year mortality, respectively. RESULTS Among the study participants, 4,690 (35.5%) patients died during the 1-year follow-up. After adjusting for confounding variables, we identified a U-shaped correlation between SHR and 1-year mortality. Using an SHR of 0.99 as the reference point, the hazard ratio for predicted 1-year mortality increased by 1.17 (95% CI 1.08 to 1.27) per standard deviation above 0.99, whereas each standard deviation increase predicted the hazard ratio of 0.52 (95% CI 0.39 to 0.69) below 0.99. Furthermore, we found that SHR could enhance the predictive performance of conventional severity scores. CONCLUSION There exists a U shaped association between SHR and mortality in sepsis patients, where both low and high SHR values are associated with an increased risk of poor outcomes.
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Affiliation(s)
- Le Li
- Chinese Academy of Medical Sciences, National Center for Cardiovascular Diseases, Peking Union Medical College, Fuwai Hospital, Beijing, 100037, China
| | - Likun Zhou
- Chinese Academy of Medical Sciences, National Center for Cardiovascular Diseases, Peking Union Medical College, Fuwai Hospital, Beijing, 100037, China
| | - Xi Peng
- Chinese Academy of Medical Sciences, National Center for Cardiovascular Diseases, Peking Union Medical College, Fuwai Hospital, Beijing, 100037, China
| | - Zhuxin Zhang
- Chinese Academy of Medical Sciences, National Center for Cardiovascular Diseases, Peking Union Medical College, Fuwai Hospital, Beijing, 100037, China
| | - Zhenhao Zhang
- Chinese Academy of Medical Sciences, National Center for Cardiovascular Diseases, Peking Union Medical College, Fuwai Hospital, Beijing, 100037, China
| | - Yulong Xiong
- Chinese Academy of Medical Sciences, National Center for Cardiovascular Diseases, Peking Union Medical College, Fuwai Hospital, Beijing, 100037, China
| | - Zhao Hu
- Chinese Academy of Medical Sciences, National Center for Cardiovascular Diseases, Peking Union Medical College, Fuwai Hospital, Beijing, 100037, China
| | - Yan Yao
- Chinese Academy of Medical Sciences, National Center for Cardiovascular Diseases, Peking Union Medical College, Fuwai Hospital, Beijing, 100037, China.
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Zhang Y, Guo L, Zhu H, Jiang L, Xu L, Wang D, Zhang Y, Zhao X, Sun K, Zhang C, Zhao W, Hui R, Gao R, Wang J, Yuan J, Xia Y, Song L. Effects of the stress hyperglycemia ratio on long-term mortality in patients with triple-vessel disease and acute coronary syndrome. Cardiovasc Diabetol 2024; 23:143. [PMID: 38664806 PMCID: PMC11046747 DOI: 10.1186/s12933-024-02220-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Accepted: 03/29/2024] [Indexed: 04/28/2024] Open
Abstract
AIMS Risk assessment for triple-vessel disease (TVD) remain challenging. Stress hyperglycemia represents the regulation of glucose metabolism in response to stress, and stress hyperglycemia ratio (SHR) is recently found to reflect true acute hyperglycemic status. This study aimed to evaluate the prognostic value of SHR and its role in risk stratification in TVD patients with acute coronary syndrome (ACS). METHODS A total of 3812 TVD patients with ACS with available baseline SHR measurement were enrolled from two independent centers. The endpoint was cardiovascular mortality. Cox regression was used to evaluate the association between SHR and cardiovascular mortality. The SYNTAX (Synergy Between Percutaneous Coronary Intervention With Taxus and Cardiac Surgery) II (SSII) was used as the reference model in the model improvement analysis. RESULTS During a median follow-up of 5.1 years, 219 (5.8%) TVD patients with ACS suffered cardiovascular mortality. TVD patients with ACS with high SHR had an increased risk of cardiovascular mortality after robust adjustment for confounding (high vs. median SHR: adjusted hazard ratio 1.809, 95% confidence interval 1.160-2.822, P = 0.009), which was fitted as a J-shaped pattern. The prognostic value of the SHR was found exclusively among patients with diabetes instead of those without diabetes. Moreover, addition of SHR improved the reclassification abilities of the SSII model for predicting cardiovascular mortality in TVD patients with ACS. CONCLUSIONS The high level of SHR is associated with the long-term risk of cardiovascular mortality in TVD patients with ACS, and is confirmed to have incremental prediction value beyond standard SSII. Assessment of SHR may help to improve the risk stratification strategy in TVD patients who are under acute stress.
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Affiliation(s)
- Yu Zhang
- State Key Laboratory of Cardiovascular Disease, Cardiomyopathy Ward, National Clinical Research Center of Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, Beijing, 100037, People's Republic of China
| | - Lei Guo
- Department of Cardiology, The First Affiliated Hospital of Dalian Medical University, 222, Zhongshan Road, Dalian City, 116011, People's Republic of China
| | - Hao Zhu
- Department of Cardiology, The First Affiliated Hospital of Dalian Medical University, 222, Zhongshan Road, Dalian City, 116011, People's Republic of China
| | - Lin Jiang
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, Beijing, 100037, People's Republic of China
| | - Lianjun Xu
- Cardiomyopathy Ward, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, Beijing, 100037, People's Republic of China
| | - Dong Wang
- Cardiomyopathy Ward, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, Beijing, 100037, People's Republic of China
| | - Yin Zhang
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, Beijing, 100037, People's Republic of China
| | - Xueyan Zhao
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, Beijing, 100037, People's Republic of China
| | - Kai Sun
- Information Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, Beijing, 100037, People's Republic of China
| | - Channa Zhang
- State Key Laboratory of Cardiovascular Disease, Cardiomyopathy Ward, National Clinical Research Center of Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, Beijing, 100037, People's Republic of China
| | - Wei Zhao
- Information Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, Beijing, 100037, People's Republic of China
| | - Rutai Hui
- State Key Laboratory of Cardiovascular Disease, Cardiomyopathy Ward, National Clinical Research Center of Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, Beijing, 100037, People's Republic of China
| | - Runlin Gao
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, Beijing, 100037, People's Republic of China
| | - Jizheng Wang
- State Key Laboratory of Cardiovascular Disease, Cardiomyopathy Ward, National Clinical Research Center of Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, Beijing, 100037, People's Republic of China
| | - Jinqing Yuan
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, Beijing, 100037, People's Republic of China.
| | - Yunlong Xia
- Department of Cardiology, The First Affiliated Hospital of Dalian Medical University, 222, Zhongshan Road, Dalian City, 116011, People's Republic of China.
| | - Lei Song
- State Key Laboratory of Cardiovascular Disease, Cardiomyopathy Ward, National Clinical Research Center of Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, Beijing, 100037, People's Republic of China.
- Cardiomyopathy Ward, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, Beijing, 100037, People's Republic of China.
- National Clinical Research Center of Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, Beijing, 100037, People's Republic of China.
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Yan H, Zhou Q, Wang Y, Tu Y, Zhao Y, Yu J, Chen K, Hu Y, Zhou Q, Zhang W, Zheng C. Associations between cardiometabolic indices and the risk of diabetic kidney disease in patients with type 2 diabetes. Cardiovasc Diabetol 2024; 23:142. [PMID: 38664793 PMCID: PMC11046854 DOI: 10.1186/s12933-024-02228-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Accepted: 04/08/2024] [Indexed: 04/28/2024] Open
Abstract
BACKGROUND This study was designed to assess the associations between emerging cardiometabolic indices-the atherogenic index of plasma (AIP), the stress hyperglycemia ratio (SHR), the triglyceride-glucose (TyG) index, and the homeostasis model assessment of insulin resistance (HOMA-IR)-and the incidence of diabetic kidney disease (DKD) in type 2 diabetes (T2D) patients. METHODS We consecutively enrolled 4351 T2D patients. The AIP, SHR, TyG index, and HOMA-IR were calculated from baseline parameters. DKD was defined as a urine albumin/creatinine ratio > 30 mg/g or an eGFR < 60 mL/min per 1.73 m. All participants were categorized into tertiles based on the cardiometabolic indices. Multivariate logistic regression models, restricted cubic splines, and receiver operating characteristic (ROC) curves were used for analysis. RESULTS A total of 1371 (31.5%) patients were diagnosed with DKD. A restricted cubic spline showed a J-shaped association of the AIP and TyG index with DKD, a log-shaped association between HOMA-IR and DKD, and a U-shaped association between the SHR and DKD incidence. Multivariate logistic regression revealed that individuals in the highest tertile of the four cardiometabolic indices had a significantly greater risk of DKD than did those in the lowest tertile (AIP: OR = 1.08, 95% CI = 1.02-1.14, P = 0.005; SHR: OR = 1.42, 95% CI = 1.12-1.81, P = 0.004; TyG index: OR = 1.86, 95% CI = 1.42-2.45, P < 0.001; HOMA-IR: OR = 2.24, 95% CI = 1.52-3.30, P < 0.001). The receiver operating characteristic curves showed that the HOMA-IR score was better than other indices at predicting the risk of DKD, with an optimal cutoff of 3.532. CONCLUSIONS Elevated AIP, SHR, TyG index and HOMA-IR are associated with a greater risk of DKD in patients with T2D. Among these indices, the HOMA-IR score demonstrated the strongest association with and predictive value for DKD incidence.
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Affiliation(s)
- Han Yan
- Department of Endocrinology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310009, China
| | - Qing Zhou
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fuwai Hospital, Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China
| | - Yaqiong Wang
- Department of Endocrinology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310009, China
| | - Yifan Tu
- Department of Endocrinology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310009, China
| | - Yuxin Zhao
- Department of Endocrinology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310009, China
| | - Jie Yu
- Department of Endocrinology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310009, China
| | - Kuangyang Chen
- Department of Endocrinology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310009, China
| | - Yepeng Hu
- Department of Endocrinology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310009, China
| | - Qiao Zhou
- Department of Endocrinology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310009, China
| | - Wen Zhang
- Department of Endocrinology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310009, China
| | - Chao Zheng
- Department of Endocrinology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310009, China.
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Yan F, Zhao L, Quan X, Zhu J. Association between stress hyperglycemia ratio and diabetes mellitus mortality in American adults: a retrospective cohort study and predictive model establishment based on machine learning algorithms (NHANES 2009-2018). Diabetol Metab Syndr 2024; 16:79. [PMID: 38566220 PMCID: PMC10986058 DOI: 10.1186/s13098-024-01324-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Accepted: 03/28/2024] [Indexed: 04/04/2024] Open
Abstract
BACKGROUND Stress hyperglycemia is a physiological response of the body under stress to make adaptive adjustments in response to changes in the internal environment. The stress hyperglycemia ratio (SHR) is a new indicator after adjusting the basal blood glucose level of the population. Previous studies have shown that SHR is associated with poor prognosis in many diseases, such as cardiovascular and cerebrovascular diseases and delirium in elderly patients. However, there are currently no studies on the correlation between SHR and the general U.S. POPULATION The purpose of this study was to examine the association between SHR and adverse outcomes among adults in the United States in general. METHODS Data on 13,315 follow-up cohorts were extracted from NHANES. The study population was divided into four groups according to quartiles of SHR. The primary outcomes were all-cause mortality and diabetes mellitus mortality. The relationship between SHR and outcomes was explored using restricted cubic splines, COX proportional hazards regression, Kaplan-Meier curves, and mediation effects. SHR is incorporated into eight machine learning algorithms to establish a prediction model and verify the prediction performance. RESULTS A total of 13,315 individual data were included in this study. Restricted cubic splines demonstrated a "U-shaped" association between SHR and all-cause mortality and diabetes mellitus mortality, indicating that increasing SHR is associated with an increased risk of adverse events. Compared with lower SHR, higher SHR was significantly associated with an increased risk of all cause mortality and diabetes mellitus mortality (HR > 1, P < 0.05). The mediating effect results showed that the positively mediated variables were segmented neutrophils and aspartate aminotransferase, and the negatively mediated variables were hemoglobin, red blood cell count, albumin, and alanine aminotransferase. The ROC of the eight machine learning algorithm models are XGBoost (0.8688), DT (0.8512), KNN (0.7966), RF (0.8417), Logistic regression (0.8633), ENET (0.8626), SVM (0.8327) and MLP (0.8662). CONCLUSION SHR can be used as a predictor of all cause mortality and diabetes mellitus mortality in the general adult population in the United States. Higher SHR is significantly associated with an increased risk of poor prognosis, especially in those aged < 65 years and in women.
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Affiliation(s)
- Fengjuan Yan
- Department of Geriatrics, Shenzhen Longhua District Central Hospital, Shenzhen, Guangdong, China
| | - Limin Zhao
- Department of Geriatrics, Shenzhen Longhua District Central Hospital, Shenzhen, Guangdong, China
| | - Xiaoqing Quan
- Department of Geriatrics, Shenzhen Longhua District Central Hospital, Shenzhen, Guangdong, China
| | - Jialiang Zhu
- The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China.
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Wei X, Chen X, Zhang Z, Wei J, Hu B, Long N, Feng J, Luo C. Risk analysis of the association between different hemoglobin glycation index and poor prognosis in critical patients with coronary heart disease-A study based on the MIMIC-IV database. Cardiovasc Diabetol 2024; 23:113. [PMID: 38555454 PMCID: PMC10981833 DOI: 10.1186/s12933-024-02206-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Accepted: 03/16/2024] [Indexed: 04/02/2024] Open
Abstract
BACKGROUND The hemoglobin glycation index (HGI) is the difference between the observed and predicted values of glycosylated hemoglobin (HbA1c), which is closely associated with a variety of poor prognoses. However, there are still no studies on the correlation between HGI and poor prognosis in patients with critical coronary artery disease. The purpose of this study was to analyze the correlation between HGI and all-cause mortality in patients with critical coronary artery disease using the MIMIC-IV database. METHODS The HGI was calculated by constructing a linear regression equation between HbA1c and fasting plasma glucose (FPG). A Kaplan‒Meier survival analysis model was constructed based on the HGI quartiles to clarify the differences in all-cause mortality rates between groups, and the log-rank test was used to assess the differences between groups. The hazard ratio (HR) of HGI as a risk factor for outcome events was assessed using the Cox proportional risk model and restricted cubic spline (RCS), with the Q2 group serving as the reference group. RESULTS A total of 5260 patients were included in this study. The 30-day mortality rate of the patients was 4.94% and the mortality rate within 365 days was 13.12%. A low HGI was significantly associated with 30-day mortality (HR, 1.96; 95% CI, (1.38, 2.78); P < 0.001) and 365-day mortality (HR, 1.48; 95% CI, (1.19, 1.85); P < 0.001) in patients with critical coronary artery disease in the completely adjusted Cox proportional risk model. In addition, high levels of HGI were associated with 365-day mortality (HR, 1.31; 95% CI, (1.02, 1.69); P < 0.05). RCS analysis revealed a U-shaped relationship between HGI and outcome events. According to the stratified analysis, the interaction test revealed that the correlation between HGI and outcome events remained stable. CONCLUSION There was a significant correlation between HGI and all-cause mortality in patients with critical coronary artery disease, particularly in those with low HGI. HGI can be used as a potential indicator for assessing the short- and long-term risk of mortality in such patients.
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Affiliation(s)
- Xing Wei
- Department of Cardiology, The Second People's Hospital of Hefei, Hefei Hospital Affiliated to Anhui Medical University, Hefei, 230011, Anhui, China
- The Fifth Clinical School of Medicine, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Xinghua Chen
- The Fifth Clinical School of Medicine, Anhui Medical University, Hefei, 230032, Anhui, China
- Intensive Care Unit, The Second People's Hospital of Hefei, Hefei Hospital Affiliated to Anhui Medical University, Hefei, 230011, China
| | - Zhipeng Zhang
- Department of Cardiology, The Second People's Hospital of Hefei, Hefei Hospital Affiliated to Anhui Medical University, Hefei, 230011, Anhui, China
- The Fifth Clinical School of Medicine, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Jing Wei
- Department of Cardiology, The Second People's Hospital of Hefei, Hefei Hospital Affiliated to Anhui Medical University, Hefei, 230011, Anhui, China
- The Fifth Clinical School of Medicine, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Ben Hu
- Department of Cardiology, The Second People's Hospital of Hefei, Hefei Hospital Affiliated to Anhui Medical University, Hefei, 230011, Anhui, China
- The Fifth Clinical School of Medicine, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Nv Long
- Department of Cardiology, The Second People's Hospital of Hefei, Hefei Hospital Affiliated to Anhui Medical University, Hefei, 230011, Anhui, China
- The Fifth Clinical School of Medicine, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Jun Feng
- Department of Cardiology, The Second People's Hospital of Hefei, Hefei Hospital Affiliated to Anhui Medical University, Hefei, 230011, Anhui, China
- The Fifth Clinical School of Medicine, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Chunmiao Luo
- Department of Cardiology, The Second People's Hospital of Hefei, Hefei Hospital Affiliated to Anhui Medical University, Hefei, 230011, Anhui, China.
- The Fifth Clinical School of Medicine, Anhui Medical University, Hefei, 230032, Anhui, China.
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LIU HH, ZHANG M, GUO YL, ZHU CG, WU NQ, GAO Y, XU RX, QIAN J, DOU KF, LI JJ. Association of acute glycemic parameters at admission with cardiovascular mortality in the oldest old with acute myocardial infarction. J Geriatr Cardiol 2024; 21:349-358. [PMID: 38665285 PMCID: PMC11040058 DOI: 10.26599/1671-5411.2024.03.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/28/2024] Open
Abstract
OBJECTIVES Stress-related glycemic indicators, including admission blood glucose (ABG), stress-hyperglycemia ratio (SHR), and glycemic gap (GG), have been associated with worse outcomes after acute myocardial infarction (AMI). However, data regarding their prognostic value in the oldest old with AMI are unavailable. Therefore, this study aimed to investigate the association of stress-related glycemic indicators with short- and long-term cardiovascular mortality (CVM) in the oldest old (≥ 80 years) with AMI. METHODS In this prospective study, a total of 933 consecutive old patients with AMI admitted to FuWai hospital (Beijing, China) were enrolled. On admission, ABG, SHR, and GG were assessed and all participants were classified according to their quartiles. Kaplan-Meier, restricted cubic splines (RCS), and multivariate Cox regression analyses were performed to evaluate the association between these glycemic indicators and CVM within 30 days and long-term follow-up. RESULTS During an average of 1954 patient-years of follow-up, a total of 250 cardiovascular deaths were recorded. Kaplan-Meier analyses showed the lowest CVM in quartile 1 of ABG and in quartile 2 of SHR and GG. After adjusting for potential covariates, patients in quartile 4 of ABG, SHR, and GG had a respective 1.67-fold (95% CI: 1.03-2.69; P = 0.036), 1.80-fold (95% CI: 1.16-2.79; P = 0.009), and 1.78-fold (95% CI: 1.14-2.79; P = 0.011) higher risk of long-term CVM risk compared to those in the reference groups (quartile 1 of ABG and quartile 2 of SHR and GG). Furthermore, RCS suggested a J-shaped relationship of ABG and a U-shaped association of SHR and GG with long-term CVM. Additionally, we observed similar associations of these acute glycemic parameters with 30-day CVM. CONCLUSIONS Our data first indicated that SHR and GG consistently had a U-shaped association with both 30-day and long-term CVM among the oldest old with AMI, suggesting that they may be useful for risk stratification in this special population.
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Affiliation(s)
- Hui-Hui LIU
- Cardiometabolic Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Meng ZHANG
- Cardiometabolic Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yuan-Lin GUO
- Cardiometabolic Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Cheng-Gang ZHU
- Cardiometabolic Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Na-Qiong WU
- Cardiometabolic Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ying GAO
- Cardiometabolic Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Rui-Xia XU
- Cardiometabolic Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jie QIAN
- Cardiometabolic Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ke-Fei DOU
- Cardiometabolic Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jian-Jun LI
- Cardiometabolic Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Liang S, Tian X, Gao F, Man M, Wang Q, Li J, Li L, Yang Y. Prognostic significance of the stress hyperglycemia ratio and admission blood glucose in diabetic and nondiabetic patients with spontaneous intracerebral hemorrhage. Diabetol Metab Syndr 2024; 16:58. [PMID: 38438889 PMCID: PMC10910766 DOI: 10.1186/s13098-024-01293-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Accepted: 02/15/2024] [Indexed: 03/06/2024] Open
Abstract
BACKGROUND The role of stress hyperglycemia ratio (SHR) on the prognosis of spontaneous intracerebral hemorrhage (ICH) in patients with different diabetic status has not been elucidated. This study aimed to evaluate the prognostic value of SHR and admission blood glucose (ABG) for the short- and long-term mortality in diabetic and nondiabetic populations with ICH. METHOD Participants with ICH were retrospectively retrieved from the Medical Information Mart for Intensive Care (MIMIC-IV). The primary outcome was all-cause 30-day and 1-year mortality. The association of SHR and ABG with the primary outcomes in diabetic and nondiabetic cohorts were assessed by Cox proportional hazard regression. RESULTS Overall, 1029 patients with a median age of 71.09 (IQR: 60.05-81.97) were included. Among them, 548 (53%) individuals were male, and 95 (19%) as well as 323 (31%) ones experienced the 30-day and 1-year mortality, respectively. After adjusting for confounding variables, individuals in quintile 5 of SHR had significantly higher risk of the 30-day and 1-year mortality than those in quintile 1 in the whole cohort (30-day mortality: HR 3.33, 95%CI 2.01-5.51; 1-year mortality: HR 2.09, 95% CI 1.46-3.00) and in nondiabetic patients (30-day mortality: HR 4.55, 95%CI 2.33-8.88; 1-year mortality: HR 3.06, 95%CI 1.93-4.86), but no significant difference was observed in diabetic patients. Similar results were observed for ABG as a categorical variable. As continuous variable, SHR was independently correlated with the 30-day and 1-year mortality in both of the diabetic and nondiabetic cohorts (30-day mortality: HR 2.63, 95%CI 1.50-4.60. 1-year mortality: HR 2.12, 95%CI 1.33-3.39), but this correlation was only observed in nondiabetic cohort for ABG (HR 1.00, 95%CI 0.99-1.01 for both of the 30-day and 1-year mortality). Moreover, compared with ABG, SHR can better improve the C-statistics of the original models regarding the 30-day and 1-year outcomes, especially in patients with diabetes (p < 0.001 in all models). CONCLUSION SHR might be a more useful and reliable marker than ABG for prognostic prediction and risk stratification in critically ill patients with ICH, especially in those with diabetes.
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Affiliation(s)
- Shengru Liang
- Department of Endocrinology, Tangdu Hospital, Fourth Military Medical University, 710038, Xi'an, China
| | - Xiaoxi Tian
- Department of Emergency, Tangdu Hospital, Fourth Military Medical University, 710038, Xi'an, China
| | - Fei Gao
- Department of Neurosurgery, Tangdu Hospital, Fourth Military Medical University, 710038, Xi'an, China
| | - Minghao Man
- Department of Neurosurgery, Tangdu Hospital, Fourth Military Medical University, 710038, Xi'an, China
| | - Qi Wang
- Department of Emergency, Tangdu Hospital, Fourth Military Medical University, 710038, Xi'an, China
| | - Jianwei Li
- Department of Emergency, Tangdu Hospital, Fourth Military Medical University, 710038, Xi'an, China
| | - Lihong Li
- Department of Emergency, Tangdu Hospital, Fourth Military Medical University, 710038, Xi'an, China
| | - Yang Yang
- Department of Emergency, Tangdu Hospital, Fourth Military Medical University, 710038, Xi'an, China.
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Zhang Q, Xiang H, Xu Q, Hu Z, Xue Y, Wang J, Ji K. Stress hyperglycemia ratio linked to worse prognosis in Cardiac Intensive Care Unit patients: A retrospective observational study. Diabetes Res Clin Pract 2024; 209:111598. [PMID: 38431225 DOI: 10.1016/j.diabres.2024.111598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 02/17/2024] [Accepted: 02/25/2024] [Indexed: 03/05/2024]
Abstract
AIMS This study aimed to delineate correlation between stress hyperglycemia ratio (SHR) and clinical outcomes among patients in the cardiac intensive care unit (CICU). METHODS Participants were categorized based on their SHR threshold values. Key outcomes were short-term mortality and major adverse cardiovascular events (MACEs) at 1-year follow-up. The association between SHR and outcomes was estimated using inverse probability of treatment weighting (IPTW) and Kaplan-Meier analyses. The C-statistic was used to gauge the predictive capability of SHR. RESULTS The study included 1,133 patients from the Medical Information Mart for Intensive Care IV and 412 from the Second Affiliated Hospital of Wenzhou Medical University. Kaplan-Meier curves revealed that individuals with elevated SHR exhibited higher 90-day mortality and MACEs. When considering SHR levels and diabetes status simultaneously, those with increased SHR but non-diabetes had the highest 90-day mortality and MACEs. SHR was associated with short-term mortality and MACEs (HRadjusted 1.63 95%CI 1.15-2.30; HRIPTW 1.47 95%CI 1.05-2.05). Upon integrating SHR into the foundational model, the C-statistic was 0.821, outperforming other hyperglycemia metrics. CONCLUSION SHR is a valuable indicator for predicting poor outcomes in CICU patients. Its utility spans potential risk stratification and offers insights for tailoring prognostic treatments to CICU patients.
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Affiliation(s)
- Qianqian Zhang
- The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou 325027, China
| | - Huaqiang Xiang
- The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou 325027, China
| | - Qianqian Xu
- The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou 325027, China
| | - Zesong Hu
- The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou 325027, China
| | - Yangjing Xue
- The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou 325027, China
| | - Jie Wang
- The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou 325027, China.
| | - Kangting Ji
- The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou 325027, China.
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Ding L, Zhang H, Dai C, Zhang A, Yu F, Mi L, Qi Y, Tang M. The prognostic value of the stress hyperglycemia ratio for all-cause and cardiovascular mortality in patients with diabetes or prediabetes: insights from NHANES 2005-2018. Cardiovasc Diabetol 2024; 23:84. [PMID: 38419029 PMCID: PMC10902955 DOI: 10.1186/s12933-024-02172-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Accepted: 02/17/2024] [Indexed: 03/02/2024] Open
Abstract
BACKGROUND The Stress hyperglycemia ratio (SHR) is a novel marker reflecting the true acute hyperglycemia status and is associated with clinical adverse events. The relationship between SHR and mortality in patients with diabetes or prediabetes is still unclear. This study aimed to investigate the predictive value of the SHR for all-cause and cardiovascular mortality in patients with diabetes or prediabetes. METHODS This study included 11,160 patients diagnosed with diabetes or prediabetes from the National Health and Nutrition Examination Survey (2005-2018). The study endpoints were all-cause and cardiovascular mortality, and morality data were extracted from the National Death Index (NDI) up to December 31, 2019. Patients were divided into SHR quartiles. Cox proportion hazards regression was applied to determine the prognostic value of SHR. Model 1 was not adjusted for any covariates. Model 2 was adjusted for age, sex, and race. Model 3 was adjusted for age, sex, race, BMI, smoking status, alcohol use, hypertension, CHD, CKD, anemia, and TG. RESULTS During a mean follow-up of 84.9 months, a total of 1538 all-cause deaths and 410 cardiovascular deaths were recorded. Kaplan-Meier survival analysis showed the lowest all-cause mortality incidence was in quartile 3 (P < 0.001). Multivariate Cox regression analyses indicated that, compared to the 1st quartile, the 4th quartile was associated with higher all-cause mortality (model 1: HR = 0.89, 95% CI 0.74-10.7, P = 0.226; model 2: HR = 1.24, 95% CI 1.03-1.49, P = 0.026; model 3: HR = 1.30, 95% CI 1.08-1.57, P = 0.006). The 3rd quartile was associated with lower cardiovascular mortality than quartile 1 (model 1: HR = 0.47, 95% CI 0.32-0.69, P < 0.001; model 2: HR = 0.66, 95% CI 0.45-0.96, P = 0.032; model 3: HR = 0.68, 95% CI 0.46-0.99, P = 0.049). There was a U-shaped association between SHR and all-cause mortality and an L-shaped association between SHR and cardiovascular mortality, with inflection points of SHR for poor prognosis of 0.87 and 0.93, respectively. CONCLUSION SHR is related to all-cause and cardiovascular mortality in patients with diabetes or prediabetes. SHR may have predictive value in those patients.
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Affiliation(s)
- Lei Ding
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, Cardiovascular Institute, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, No.167 Beilishi Rd, Xicheng District, Beijing, 100037, China
| | - Hongda Zhang
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, Cardiovascular Institute, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, No.167 Beilishi Rd, Xicheng District, Beijing, 100037, China
| | - Cong Dai
- Department of Health Policy and Management, School of Public Health, Peking University Health Science Center, Beijing, 100191, China
| | - Aikai Zhang
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, Cardiovascular Institute, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, No.167 Beilishi Rd, Xicheng District, Beijing, 100037, China
| | - Fengyuan Yu
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, Cardiovascular Institute, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, No.167 Beilishi Rd, Xicheng District, Beijing, 100037, China
| | - Lijie Mi
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, Cardiovascular Institute, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, No.167 Beilishi Rd, Xicheng District, Beijing, 100037, China
| | - Yingjie Qi
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, Cardiovascular Institute, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, No.167 Beilishi Rd, Xicheng District, Beijing, 100037, China
| | - Min Tang
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, Cardiovascular Institute, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, No.167 Beilishi Rd, Xicheng District, Beijing, 100037, China.
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24
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Xu S, Liu J, Zhao D, Yang N, Hao Y, Zhou Y, Zhu D, Cui M. The association between the AIP and undiagnosed diabetes in ACS patients with different body mass indexes and LDL-C levels: findings from the CCC-ACS project. Cardiovasc Diabetol 2024; 23:77. [PMID: 38378551 PMCID: PMC10880375 DOI: 10.1186/s12933-024-02162-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Accepted: 02/09/2024] [Indexed: 02/22/2024] Open
Abstract
BACKGROUND The atherogenic index of plasma (AIP) has been demonstrated to be significantly associated with the incidence of prediabetes and diabetes. This study aimed to investigate the association between the AIP and undiagnosed diabetes in acute coronary syndrome (ACS) patients. METHODS Among 113,650 ACS patients treated with coronary angiography at 240 hospitals in the Improving Care for Cardiovascular Disease in China-ACS Project from 2014 to 2019, 11,221 patients with available clinical and surgical information were included. We analyzed these patients' clinical characteristics after stratification according to AIP tertiles, body mass index (BMI) and low-density lipoprotein cholesterol (LDL-C) levels. RESULTS The AIP was independently associated with a greater incidence of undiagnosed diabetes. The undiagnosed diabetes was significantly greater in the T3 group than in the T1 group after adjustment for confounders [T3 OR 1.533 (1.199-1.959) p < 0.001]. This relationship was consistent within normal weight patients and patients with an LDL-C level ≥ 1.8 mmol/L. In overweight and obese patients, the AIP was significantly associated with the incidence of undiagnosed diabetes as a continuous variable after adjustment for age, sex, and BMI but not as a categorical variable. The area under the receiver operating characteristic curve (AUC) of the AIP score, triglyceride (TG) concentration, and HDL-C concentration was 0.601 (0.581-0.622; p < 0.001), 0.624 (0.603-0.645; p < 0.001), and 0.493 (0.472-0.514; p = 0.524), respectively. A nonlinear association was found between the AIP and the incidence of undiagnosed diabetes in ACS patients (p for nonlinearity < 0.001), and this trend remained consistent between males and females. The AIP may be a negative biomarker associated with undiagnosed diabetes ranging from 0.176 to 0.738. CONCLUSION The AIP was significantly associated with the incidence of undiagnosed diabetes in ACS patients, especially in those with normal weight or an LDL-C level ≥ 1.8 mmol/L. A nonlinear relationship was found between the AIP and the incidence of undiagnosed diabetes, and this trend was consistent between male and female patients. The AIP may be a negative biomarker associated with undiagnosed diabetes and ranges from 0.176 to 0.738.
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Affiliation(s)
- Shuwan Xu
- Department of Cardiology, Peking University Third Hospital, 49 Huayuan North Road, Haidian District, Beijing, 100191, China
| | - Jun Liu
- Department of Epidemiology and Cardiology, Beijing Anzhen Hospital, Capital Medical University, The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing Institute of Heart, Lung and Blood Vessel Diseases, No. 2 Anzhen Road, Chaoyang District, Beijing, 100029, China
| | - Dong Zhao
- Department of Epidemiology and Cardiology, Beijing Anzhen Hospital, Capital Medical University, The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing Institute of Heart, Lung and Blood Vessel Diseases, No. 2 Anzhen Road, Chaoyang District, Beijing, 100029, China
| | - Na Yang
- Department of Epidemiology and Cardiology, Beijing Anzhen Hospital, Capital Medical University, The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing Institute of Heart, Lung and Blood Vessel Diseases, No. 2 Anzhen Road, Chaoyang District, Beijing, 100029, China
| | - Yongchen Hao
- Department of Epidemiology and Cardiology, Beijing Anzhen Hospital, Capital Medical University, The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing Institute of Heart, Lung and Blood Vessel Diseases, No. 2 Anzhen Road, Chaoyang District, Beijing, 100029, China
| | - Yan Zhou
- Department of Epidemiology and Cardiology, Beijing Anzhen Hospital, Capital Medical University, The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing Institute of Heart, Lung and Blood Vessel Diseases, No. 2 Anzhen Road, Chaoyang District, Beijing, 100029, China
| | - Dan Zhu
- Department of Cardiology, Peking University Third Hospital, 49 Huayuan North Road, Haidian District, Beijing, 100191, China.
| | - Ming Cui
- Department of Cardiology, Peking University Third Hospital, 49 Huayuan North Road, Haidian District, Beijing, 100191, China.
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Hu X, Feng D, Zhang Y, Wang C, Chen Y, Niu G, Zhou Z, Zhao Z, Zhang H, Wang M, Wu Y. Prognostic effect of stress hyperglycemia ratio on patients with severe aortic stenosis receiving transcatheter aortic valve replacement: a prospective cohort study. Cardiovasc Diabetol 2024; 23:73. [PMID: 38365751 PMCID: PMC10870928 DOI: 10.1186/s12933-024-02160-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Accepted: 02/08/2024] [Indexed: 02/18/2024] Open
Abstract
BACKGROUND Stress hyperglycemia ratio (SHR) has recently been recognized as a novel biomarker that accurately reflects acute hyperglycemia status and is associated with poor prognosis of heart failure. We evaluated the relationship between SHR and clinical outcomes in patients with severe aortic stenosis receiving transcatheter aortic valve replacement (TAVR). METHODS There were 582 patients with severe native aortic stenosis who underwent TAVR consecutively enrolled in the study. The formula used to determine SHR was as follows: admission blood glucose (mmol/L)/(1.59×HbA1c[%]-2.59). The primary endpoint was defined as all-cause mortality, while secondary endpoints included a composite of cardiovascular mortality or readmission for heart failure, and major adverse cardiovascular events (MACE) including cardiovascular mortality, non-fatal myocardial infarction, and non-fatal stroke. Multivariable Cox regression and restricted cubic spline analysis were employed to assess the relationship between SHR and endpoints, with hazard ratios (HRs) and 95% confidence intervals (CIs). RESULTS During a median follow-up of 3.9 years, a total of 130 cases (22.3%) of all-cause mortality were recorded. Results from the restricted cubic spline analysis indicated a linear association between SHR and all endpoints (p for non-linearity > 0.05), even after adjustment for other confounding factors. Per 0.1 unit increase in SHR was associated with a 12% (adjusted HR: 1.12, 95% CI: 1.04-1.21) higher incidence of the primary endpoint, a 12% (adjusted HR: 1.12, 95% CI: 1.02-1.22) higher incidence of cardiovascular mortality or readmission for heart failure, and a 12% (adjusted HR: 1.12, 95% CI: 1.01-1.23) higher incidence of MACE. Subgroup analysis revealed that SHR had a significant interaction with diabetes mellitus with regard to the risk of all-cause mortality (p for interaction: 0.042). Kaplan-Meier survival analysis showed that there were significant differences in the incidence of all endpoints between the two groups with 0.944 as the optimal binary cutoff point of SHR (all log-rank test: p < 0.05). CONCLUSIONS Our study indicates linear relationships of SHR with the risk of all-cause mortality, cardiovascular mortality or readmission for heart failure, and MACE in patients with severe aortic stenosis receiving TAVR after a median follow-up of 3.9 years. Patients with an SHR exceeding 0.944 had a poorer prognosis compared to those with lower SHR values.
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Affiliation(s)
- Xiangming Hu
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Dejing Feng
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yuxuan Zhang
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Can Wang
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yang Chen
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Department of Cardiology, Peking University People's Hospital, Beijing, China
| | - Guannan Niu
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zheng Zhou
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhenyan Zhao
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Hongliang Zhang
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Moyang Wang
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
| | - Yongjian Wu
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
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Li K, Yang X, Li Y, Xu G, Ma Y. Relationship between stress hyperglycaemic ratio and incidence of in-hospital cardiac arrest in patients with acute coronary syndrome: a retrospective cohort study. Cardiovasc Diabetol 2024; 23:59. [PMID: 38336786 PMCID: PMC10858560 DOI: 10.1186/s12933-024-02128-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Accepted: 01/08/2024] [Indexed: 02/12/2024] Open
Abstract
BACKGROUND The stress hyperglycaemic ratio (SHR), a new marker that reflects the true hyperglycaemic state of patients with acute coronary syndrome (ACS), is strongly associated with adverse clinical outcomes in these patients. Studies on the relationship between the SHR and in-hospital cardiac arrest (IHCA) incidence are limited. This study elucidated the relationship between the SHR and incidence of IHCA in patients with ACS. METHODS In total, 1,939 patients with ACS who underwent percutaneous coronary intervention (PCI) at the Affiliated Hospital of Zunyi Medical University were included. They were divided into three groups according to the SHR: group T1 (SHR ≤ 0.838, N = 646), group T2 (0.838< SHR ≤ 1.140, N = 646), and group T3 (SHR3 > 1.140, N = 647). The primary endpoint was IHCA incidence. RESULTS The overall IHCA incidence was 4.1% (N = 80). After adjusting for covariates, SHR was significantly associated with IHCA incidence in patients with ACS who underwent PCI (odds ratio [OR] = 2.6800; 95% confidence interval [CI] = 1.6200-4.4300; p<0.001), and compared with the T1 group, the T3 group had an increased IHCA risk (OR = 2.1800; 95% CI = 1.2100-3.9300; p = 0.0090). In subgroup analyses, after adjusting for covariates, patients with ST-segment elevation myocardial infarction (STEMI) (OR = 3.0700; 95% CI = 1.4100-6.6600; p = 0.0050) and non-STEMI (NSTEMI) (OR = 2.9900; 95% CI = 1.1000-8.1100; p = 0.0310) were at an increased IHCA risk. After adjusting for covariates, IHCA risk was higher in patients with diabetes mellitus (DM) (OR = 2.5900; 95% CI = 1.4200-4.7300; p = 0.0020) and those without DM (non-DM) (OR = 3.3000; 95% CI = 1.2700-8.5800; p = 0.0140); patients with DM in the T3 group had an increased IHCA risk compared with those in the T1 group (OR = 2.4200; 95% CI = 1.0800-5.4300; p = 0.0320). The restriction cubic spline (RCS) analyses revealed a dose-response relationship between IHCA incidence and SHR, with an increased IHCA risk when SHR was higher than 1.773. Adding SHR to the baseline risk model improved the predictive value of IHCA in patients with ACS treated with PCI (net reclassification improvement [NRI]: 0.0734 [0.0058-0.1409], p = 0.0332; integrated discrimination improvement [IDI]: 0.0218 [0.0063-0.0374], p = 0.0060). CONCLUSIONS In patients with ACS treated with PCI, the SHR was significantly associated with the incidence of IHCA. The SHR may be a useful predictor of the incidence of IHCA in patients with ACS. The addition of the SHR to the baseline risk model had an incremental effect on the predictive value of IHCA in patients with ACS treated with PCI.
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Affiliation(s)
- Kui Li
- Department of Cardiovascular Medicine, Affiliated Hospital of Zunyi Medical University, No. 149 Dalian Road, Zunyi, 563099, Guizhou, China
| | - Xueyuan Yang
- Department of Cardiovascular Medicine, Affiliated Hospital of Zunyi Medical University, No. 149 Dalian Road, Zunyi, 563099, Guizhou, China
| | - Yunhang Li
- Department of Cardiovascular Medicine, Affiliated Hospital of Zunyi Medical University, No. 149 Dalian Road, Zunyi, 563099, Guizhou, China
| | - Guanxue Xu
- Department of Cardiovascular Medicine, Affiliated Hospital of Zunyi Medical University, No. 149 Dalian Road, Zunyi, 563099, Guizhou, China.
| | - Yi Ma
- Department of Cardiovascular Medicine, Affiliated Hospital of Zunyi Medical University, No. 149 Dalian Road, Zunyi, 563099, Guizhou, China.
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27
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Li L, Ding L, Zheng L, Wu L, Hu Z, Liu L, Zhang Z, Zhou L, Yao Y. U-shaped association between stress hyperglycemia ratio and risk of all-cause mortality in cardiac ICU. Diabetes Metab Syndr 2024; 18:102932. [PMID: 38147811 DOI: 10.1016/j.dsx.2023.102932] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 11/28/2023] [Accepted: 12/17/2023] [Indexed: 12/28/2023]
Abstract
BACKGROUND Stress hyperglycemia has been associated with poor prognosis in patients admitted to the cardiac intensive care unit (ICU). Recently, the stress hyperglycemia ratio (SHR) has been proposed to reflect true acute hyperglycemic. This study aimed to investigate the relationship between SHR and prognosis of patients in the cardiac ICU. METHODS A retrospective analysis was conducted on a cohort of 5,564 patients admitted to the cardiac ICU. The participants were divided into seven groups based on their SHR levels. SHR was calculated as admission blood glucose/[(28.7 × HbA1c %) - 46.7]. The primary outcomes of this study were 28-day all-cause mortality. RESULTS During the follow-up period, 349 (6.3%) patients succumbed within 28 days. A U-shaped correlation between SHR and mortality persisted, even after adjusting for other confounding variables, with a discernible inflection point at 0.95. When SHR surpassed 0.95, each standard deviation (SD) increase corresponded to a 1.41-fold elevation in the risk of mortality (odds ratio [OR]: 1.41, 95% CI: 1.25 to 1.59). In contrast, when SHR fell below 0.95, each SD increment correlated with a significantly reduced risk of mortality (OR: 0.56, 95% CI: 0.34 to 0.91). CONCLUSION There was a U-shaped association between SHR and short -term mortality in patients in the cardiac ICU. The inflection point of SHR for poor prognosis was identified at an SHR value of 0.95.
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Affiliation(s)
- Le Li
- Chinese Academy of Medical Sciences, Peking Union Medical College, National Center for Cardiovascular Diseases, Fuwai Hospital, Beijing, China
| | - Ligang Ding
- Chinese Academy of Medical Sciences, Peking Union Medical College, National Center for Cardiovascular Diseases, Fuwai Hospital, Beijing, China
| | - Lihui Zheng
- Chinese Academy of Medical Sciences, Peking Union Medical College, National Center for Cardiovascular Diseases, Fuwai Hospital, Beijing, China
| | - Lingmin Wu
- Chinese Academy of Medical Sciences, Peking Union Medical College, National Center for Cardiovascular Diseases, Fuwai Hospital, Beijing, China
| | - Zhicheng Hu
- Chinese Academy of Medical Sciences, Peking Union Medical College, National Center for Cardiovascular Diseases, Fuwai Hospital, Beijing, China
| | - Limin Liu
- Chinese Academy of Medical Sciences, Peking Union Medical College, National Center for Cardiovascular Diseases, Fuwai Hospital, Beijing, China
| | - Zhuxin Zhang
- Chinese Academy of Medical Sciences, Peking Union Medical College, National Center for Cardiovascular Diseases, Fuwai Hospital, Beijing, China
| | - Likun Zhou
- Chinese Academy of Medical Sciences, Peking Union Medical College, National Center for Cardiovascular Diseases, Fuwai Hospital, Beijing, China
| | - Yan Yao
- Chinese Academy of Medical Sciences, Peking Union Medical College, National Center for Cardiovascular Diseases, Fuwai Hospital, Beijing, China.
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Armillotta M, Bergamaschi L, Paolisso P, Pizzi C. Beyond coronary anatomy in acute myocardial infarction: Could stress hyperglycemia ratio be a new prognostic index and therapeutic target? Trends Cardiovasc Med 2023:S1050-1738(23)00114-7. [PMID: 38158027 DOI: 10.1016/j.tcm.2023.12.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Accepted: 12/23/2023] [Indexed: 01/03/2024]
Affiliation(s)
- Matteo Armillotta
- Cardiology Unit, IRCCS Azienda Ospedaliera-Universitaria di Bologna, Bologna, Italy; Department of Medical and Surgical Sciences - DIMEC - Alma Mater Studiorum, University of Bologna, Bologna, Italy
| | - Luca Bergamaschi
- Cardiology Unit, IRCCS Azienda Ospedaliera-Universitaria di Bologna, Bologna, Italy; Department of Medical and Surgical Sciences - DIMEC - Alma Mater Studiorum, University of Bologna, Bologna, Italy
| | - Pasquale Paolisso
- Department of Advanced Biomedical Sciences, University Federico II, Naples, Italy
| | - Carmine Pizzi
- Cardiology Unit, IRCCS Azienda Ospedaliera-Universitaria di Bologna, Bologna, Italy; Department of Medical and Surgical Sciences - DIMEC - Alma Mater Studiorum, University of Bologna, Bologna, Italy.
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Shan Y, Lin M, Gu F, Ying S, Bao X, Zhu Q, Tao Y, Chen Z, Li D, Zhang W, Fu G, Wang M. Association between fasting stress hyperglycemia ratio and contrast-induced acute kidney injury in coronary angiography patients: a cross-sectional study. Front Endocrinol (Lausanne) 2023; 14:1300373. [PMID: 38155953 PMCID: PMC10753820 DOI: 10.3389/fendo.2023.1300373] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2023] [Accepted: 11/30/2023] [Indexed: 12/30/2023] Open
Abstract
Aims Stress hyperglycemia ratio (SHR), an emerging indicator of critical illness, exhibits a significant association with adverse cardiovascular outcomes. The primary aim of this research endeavor is to evaluate the association between fasting SHR and contrast-induced acute kidney injury (CI-AKI). Methods This cross-sectional study comprised 3,137 patients who underwent coronary angiography (CAG) or percutaneous coronary intervention (PCI). The calculation of fasting SHR involved dividing the admission fasting blood glucose by the estimated mean glucose obtained from glycosylated hemoglobin. CI-AKI was assessed based on elevated serum creatinine (Scr) levels. To investigate the relationship between fasting SHR and the proportion of SCr elevation, piecewise linear regression analysis was conducted. Modified Poisson's regression analysis was implemented to evaluate the correlation between fasting SHR and CI-AKI. Subgroup analysis and sensitivity analysis were conducted to explore result stability. Results Among the total population, 482 (15.4%) patients experienced CI-AKI. Piecewise linear regression analysis revealed significant associations between the proportion of SCr elevation and fasting SHR on both sides (≤ 0.8 and > 0.8) [β = -12.651, 95% CI (-23.281 to -2.022), P = 0.020; β = 8.274, 95% CI (4.176 to 12.372), P < 0.001]. The Modified Poisson's regression analysis demonstrated a statistically significant correlation between both the lowest and highest levels of fasting SHR and an increased incidence of CI-AKI [(SHR < 0.7 vs. 0.7 ≤ SHR < 0.9) β = 1.828, 95% CI (1.345 to 2.486), P < 0.001; (SHR ≥ 1.3 vs. 0.7 ≤ SHR < 0.9) β = 2.896, 95% CI (2.087 to 4.019), P < 0.001], which was further validated through subgroup and sensitivity analyses. Conclusion In populations undergoing CAG or PCI, both lowest and highest levels of fasting SHR were significantly associated with an increased occurrence of CI-AKI.
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Affiliation(s)
- Yu Shan
- Department of Cardiology, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
- Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Hangzhou, China
| | - Maoning Lin
- Department of Cardiology, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
- Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Hangzhou, China
| | - Fangfang Gu
- Department of Cardiology, The Affiliated Huzhou Hospital (Huzhou Central Hospital), College of Medicine, Zhejiang University, Huzhou, Zhejiang, China
| | - Shuxin Ying
- Department of Endocrinology and Metabolism, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Xiaoyi Bao
- Department of Cardiology, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
- Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Hangzhou, China
| | - Qiongjun Zhu
- Department of Cardiology, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
- Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Hangzhou, China
| | - Yecheng Tao
- Department of Cardiology, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
- Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Hangzhou, China
| | - Zhezhe Chen
- Department of Cardiology, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
- Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Hangzhou, China
| | - Duanbin Li
- Department of Cardiology, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
- Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Hangzhou, China
| | - Wenbin Zhang
- Department of Cardiology, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
- Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Hangzhou, China
| | - Guosheng Fu
- Department of Cardiology, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
- Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Hangzhou, China
| | - Min Wang
- Department of Cardiology, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
- Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Hangzhou, China
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Liao W, Chen Y, Gao Q, Gan R, Li M, Liu Z, Liang J, Cui H, Ren K, Liu Y, Wang Z, Jiang J, Wei Q. Impact of stress hyperglycemia ratio, derived from glycated albumin or hemoglobin A1c, on mortality among ST-segment elevation myocardial infarction patients. Cardiovasc Diabetol 2023; 22:334. [PMID: 38057783 DOI: 10.1186/s12933-023-02061-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2023] [Accepted: 11/10/2023] [Indexed: 12/08/2023] Open
Abstract
BACKGROUND Stress hyperglycemia ratio (SHR), associated with adverse outcomes in patients with ST-segment elevation myocardial infarction (STEMI), has several definitions. This study aims to assess the prognostic value of SHR, derived from hemoglobin A1c (HbA1c) or glycated albumin (GA), to mortality. METHODS The study comprised 1,643 STEMI patients who underwent percutaneous coronary intervention (PCI) in two centers. SHR1 was calculated using fasting blood glucose (FBG)/GA, while SHR2 was calculated using the formula FBG/(1.59*HbA1c-2.59). The primary endpoints were in-hospital death and all-cause mortality, with a median follow-up duration of 1.56 years. RESULTS Higher SHR1 and SHR2 values are associated with increased risks of in-hospital death and all-cause mortality. Each standard deviation increase in SHR1 corresponded to a 39% and 22% escalation in in-hospital death and all-cause mortality, respectively. The respective increases for SHR2 were 51% and 26%. Further examinations validated these relationships as linear. Additionally, the areas under the curve (AUC) for in-hospital death were not significantly different between SHR1 and SHR2 (p > 0.05). Incorporating SHR1 or SHR2 into the base model significantly improved the discrimination and risk reclassification for in-hospital and all-cause mortality. A subgroup analysis revealed that the effects of SHR1 and SHR2 were more pronounced in patients with hypercholesteremia. CONCLUSION SHR1 and SHR2 have emerged as robust and independent prognostic markers for STEMI patients undergoing PCI. The SHR calculation based on either HbA1c or GA can provide additional predictive value for mortality beyond traditional risk factors, helping to identify high-risk STEMI patients.
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Affiliation(s)
- Wang Liao
- Department of Cardiology, First People's Hospital of Yulin, Yulin, China
| | - Yuwen Chen
- Department of Cardiology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Qiyue Gao
- Department of Cardiology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Rongrong Gan
- Department of Cardiology, First People's Hospital of Yulin, Yulin, China
| | - Ming Li
- Department of Cardiology, First People's Hospital of Yulin, Yulin, China
| | - Zhenliang Liu
- Department of Cardiology, First People's Hospital of Yulin, Yulin, China
| | - Jiasheng Liang
- Department of Cardiology, First People's Hospital of Yulin, Yulin, China
| | - Henghua Cui
- Department of Cardiology, First People's Hospital of Yulin, Yulin, China
| | - Kaida Ren
- Department of Cardiology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yabin Liu
- Department of Cardiology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Zhengdong Wang
- Department of Cardiology, First People's Hospital of Yulin, Yulin, China.
| | - Jun Jiang
- Department of Cardiology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| | - Qucheng Wei
- Department of Cardiology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
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Gao S, Huang S, Lin X, Xu L, Yu M. Prognostic implications of stress hyperglycemia ratio in patients with myocardial infarction with nonobstructive coronary arteries. Ann Med 2023; 55:990-999. [PMID: 36896774 PMCID: PMC10795641 DOI: 10.1080/07853890.2023.2186479] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Accepted: 02/26/2023] [Indexed: 03/11/2023] Open
Abstract
BACKGROUND The role of stress hyperglycemia in acute myocardial infarction (AMI) has long been emphasized. Recently, the stress hyperglycemia ratio (SHR), a novel index reflecting an acute glycemia rise, has shown a good predictive value in AMI. However, its prognostic power in myocardial infarction with nonobstructive coronary arteries (MINOCA) remains unclear. METHODS In a prospective cohort of 1179 patients with MINOCA, relationships between SHR levels and outcomes were analyzed. SHR was defined as acute-to-chronic glycemic ratio using admission blood glucose (ABG) and glycated hemoglobin. The primary endpoint was defined as major adverse cardiovascular events (MACE), including all-cause death, nonfatal MI, stroke, revascularization, and hospitalization for unstable angina or heart failure. Survival analyses and receiver-operating characteristic (ROC) curve analyses were performed. RESULTS Over the median follow-up of 3.5 years, the incidence of MACE markedly increased with higher SHR tertile levels (8.1%, 14.0%, 20.5%; p < 0.001). At multivariable Cox analysis, elevated SHR was independently associated with an increased risk of MACE (HR 2.30, 95% CI: 1.21-4.38, p = 0.011). Patients with rising tertiles of SHR also had a significantly higher risk of MACE (tertile 1 as reference; tertile 2: HR 1.77, 95% CI: 1.14-2.73, p = 0.010; tertile 3: HR 2.64, 95% CI: 1.75-3.98, p < 0.001). SHR remained a robust predictor of MACE in patients with and without diabetes; whereas ABG was no longer associated with the MACE risk in diabetic patients. SHR showed an area under the curve of 0.63 for MACE prediction. By incorporating SHR to TIMI risk score, the combined model further improved the discrimination for MACE. CONCLUSIONS The SHR independently confers the cardiovascular risk after MINOCA, and may serve as a better predictor than glycemia at admission alone, particularly in those with diabetes.KEY MESSAGESStress hyperglycemia ratio (SHR) is independently associated with the prognosis in a distinct population with myocardial infarction with nonobstructive coronary arteries (MINOCA).SHR is a better predictor of prognosis than admission glycemia alone, especially in diabetic patients with MINOCA.SHR may serve as a prognostic marker for risk stratification as well as a potential target for tailored glucose-lowering treatment in MINOCA.
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Affiliation(s)
- Side Gao
- Heart Center and Beijing Key Laboratory of Hypertension, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Sizhuang Huang
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xuze Lin
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Li Xu
- Heart Center and Beijing Key Laboratory of Hypertension, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Mengyue Yu
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Karakasis P, Stalikas N, Patoulias D, Pamporis K, Karagiannidis E, Sagris M, Stachteas P, Bougioukas KI, Anastasiou V, Daios S, Apostolidou-Kiouti F, Giannakoulas G, Vassilikos V, Fragakis N, Giannopoulos G. Prognostic value of stress hyperglycemia ratio in patients with acute myocardial infarction: A systematic review with Bayesian and frequentist meta-analysis. Trends Cardiovasc Med 2023:S1050-1738(23)00107-X. [PMID: 38042441 DOI: 10.1016/j.tcm.2023.11.006] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Revised: 11/19/2023] [Accepted: 11/27/2023] [Indexed: 12/04/2023]
Abstract
The present systematic review and meta-analysis aimed to investigate the prognostic value of stress hyperglycemia ratio (SHR) in patients with acute myocardial infarction (AMI). A total of 26 cohort studies, involving 87,974 patients, were analyzed. The frequentist meta-analysis showed that AMI patients with SHR in the upper quantile had a significantly higher hazard of major adverse cardiovascular and cerebrovascular events (MACCE, HR = 1.7; 95 % CI= [1.42, 2.03]; P < 0.001; I2 = 71 %; P <0.01), long-term (HR = 1.64; 95 % CI= [1.49, 1.8]; P < 0.001; I2 = 16 %; P = 0.29) and in-hospital all-cause mortality (OR = 3.87; 95 % CI= [2.98, 5.03]; P < 0.001; I2 = 54 %; P = 0.03) compared to those with lower SHR. Prespecified subgroup analyses revealed that these results were consistent irrespective of diabetes status (P = 0.32 and 0.73 for subgroup differences) and that SHR was a significant predictor of MACCE both in AMI with obstructive coronary arteries (HR = 1.57; 95 % CI= [1.34, 1.83]; P < 0.001; I2 = 66 %; P < 0.01) and MINOCA (HR = 2.57; 95 % CI= [1.86, 3.56]; P < 0.001; I2 = 0 %; P = 0.84). The Bayesian analyses with weakly prior assumptions yielded comparable results with the frequentist approach and provided strong evidence that higher SHR values were associated with significantly greater hazard of MACCE, short-term and long-term mortality. Further, prospective research is warranted to provide deeper insights into this newer index of stress hyperglycemia before its potential incorporation in clinical prediction scores.
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Affiliation(s)
- Paschalis Karakasis
- Second Department of Cardiology, Hippokration General Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece.
| | - Nikolaos Stalikas
- First Department of Cardiology, AHEPA University Hospital, Aristotle University of Thessaloniki, Greece
| | - Dimitrios Patoulias
- Outpatient Department of Cardiometabolic Medicine, Hippokration General Hospital, Aristotle University of Thessaloniki, Greece; Second Department of Internal Medicine, European Interbalkan Medical Center, Thessaloniki, Greece
| | - Konstantinos Pamporis
- Department of Hygiene, Social-Preventive Medicine & Medical Statistics, Medical School, Aristotle University of Thessaloniki, Greece
| | - Efstratios Karagiannidis
- Second Department of Cardiology, Hippokration General Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Marios Sagris
- First Department of Cardiology, Hippokration General Hospital, National and Kapodistrian University of Athens, Greece
| | - Panagiotis Stachteas
- Second Department of Cardiology, Hippokration General Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Konstantinos I Bougioukas
- Department of Hygiene, Social-Preventive Medicine & Medical Statistics, Medical School, Aristotle University of Thessaloniki, Greece
| | - Vasileios Anastasiou
- First Department of Cardiology, AHEPA University Hospital, Aristotle University of Thessaloniki, Greece
| | - Stylianos Daios
- First Department of Cardiology, AHEPA University Hospital, Aristotle University of Thessaloniki, Greece
| | - Fani Apostolidou-Kiouti
- Department of Hygiene, Social-Preventive Medicine & Medical Statistics, Medical School, Aristotle University of Thessaloniki, Greece
| | - George Giannakoulas
- First Department of Cardiology, AHEPA University Hospital, Aristotle University of Thessaloniki, Greece
| | - Vassilios Vassilikos
- Third Department of Cardiology, Hippokration General Hospital, Aristotle University of Thessaloniki, Greece
| | - Nikolaos Fragakis
- Second Department of Cardiology, Hippokration General Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - George Giannopoulos
- Third Department of Cardiology, Hippokration General Hospital, Aristotle University of Thessaloniki, Greece
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Liu J, Zhou Y, Huang H, Liu R, Kang Y, Zhu T, Wu J, Gao Y, Li Y, Wang C, Chen S, Xie N, Zheng X, Meng R, Liu Y, Tan N, Gao F. Impact of stress hyperglycemia ratio on mortality in patients with critical acute myocardial infarction: insight from american MIMIC-IV and the chinese CIN-II study. Cardiovasc Diabetol 2023; 22:281. [PMID: 37865764 PMCID: PMC10589959 DOI: 10.1186/s12933-023-02012-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 10/04/2023] [Indexed: 10/23/2023] Open
Abstract
BACKGROUND Among patients with acute coronary syndrome and percutaneous coronary intervention, stress hyperglycemia ratio (SHR) is primarily associated with short-term unfavorable outcomes. However, the relationship between SHR and long-term worsen prognosis in acute myocardial infarction (AMI) patients admitted in intensive care unit (ICU) are not fully investigated, especially in those with different ethnicity. This study aimed to clarify the association of SHR with all-cause mortality in critical AMI patients from American and Chinese cohorts. METHODS Overall 4,337 AMI patients with their first ICU admission from the American Medical Information Mart for Intensive Care (MIMIC)-IV database (n = 2,166) and Chinese multicenter registry cohort Cardiorenal ImprovemeNt II (CIN-II, n = 2,171) were included in this study. The patients were divided into 4 groups based on quantiles of SHR in both two cohorts. RESULTS The total mortality was 23.8% (maximum follow-up time: 12.1 years) in American MIMIC-IV and 29.1% (maximum follow-up time: 14.1 years) in Chinese CIN-II. In MIMIC-IV cohort, patients with SHR of quartile 4 had higher risk of 1-year (adjusted hazard radio [aHR] = 1.87; 95% CI: 1.40-2.50) and long-term (aHR = 1.63; 95% CI: 1.27-2.09) all-cause mortality than quartile 2 (as reference). Similar results were observed in CIN-II cohort (1-year mortality: aHR = 1.44; 95%CI: 1.03-2.02; long-term mortality: aHR = 1.32; 95%CI: 1.05-1.66). In both two group, restricted cubic splines indicated a J-shaped correlation between SHR and all-cause mortality. In subgroup analysis, SHR was significantly associated with higher 1-year and long-term all-cause mortality among patients without diabetes in both MIMIC-IV and CIN-II cohort. CONCLUSION Among critical AMI patients, elevated SHR is significantly associated with and 1-year and long-term all-cause mortality, especially in those without diabetes, and the results are consistently in both American and Chinese cohorts.
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Affiliation(s)
- Jin Liu
- Department of Cardiology, Guangdong Provincial People's Hospital, Guangdong Cardiovascular Institute, Southern Medical University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Yang Zhou
- Department of Cardiology, Guangdong Provincial People's Hospital, Guangdong Cardiovascular Institute, Southern Medical University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Haozhang Huang
- Department of Cardiology, Guangdong Provincial People's Hospital, Guangdong Cardiovascular Institute, Southern Medical University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Rui Liu
- School of Mathematics, South China University of Technology, Guangzhou, China
| | - Yu Kang
- Department of Cardiology, Guangdong Provincial People's Hospital, Guangdong Cardiovascular Institute, Southern Medical University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Tingting Zhu
- Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford, UK
| | - Jielan Wu
- Department of Cardiology, Guangdong Provincial People's Hospital, Guangdong Cardiovascular Institute, Southern Medical University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Yuwei Gao
- Jinan university, Zhuhai People's Hospital, Zhuhai, China
| | - Yuqi Li
- Department of Cardiology, Guangdong Provincial People's Hospital, Guangdong Cardiovascular Institute, Southern Medical University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Department of Cardiology, Zhongshan City People's Hospital, Zhongshan, China
| | - Chenyang Wang
- Department of Cardiology, Guangdong Provincial People's Hospital, Guangdong Cardiovascular Institute, Southern Medical University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Shiqun Chen
- Global Health Research Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Science, Guangzhou, China
| | - Nianjin Xie
- Department of Cardiology, Guangdong Provincial People's Hospital, Guangdong Cardiovascular Institute, Southern Medical University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Xueyan Zheng
- Institute of Control and Prevention for Chronic Non-infective Disease, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Ruilin Meng
- Institute of Control and Prevention for Chronic Non-infective Disease, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Yong Liu
- Department of Cardiology, Guangdong Provincial People's Hospital, Guangdong Cardiovascular Institute, Southern Medical University, Guangzhou, China.
- Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
| | - Ning Tan
- Department of Cardiology, Guangdong Provincial People's Hospital, Guangdong Cardiovascular Institute, Southern Medical University, Guangzhou, China.
- Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
| | - Fei Gao
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
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Li L, Zhao M, Zhang Z, Zhou L, Zhang Z, Xiong Y, Hu Z, Yao Y. Prognostic significance of the stress hyperglycemia ratio in critically ill patients. Cardiovasc Diabetol 2023; 22:275. [PMID: 37833697 PMCID: PMC10576399 DOI: 10.1186/s12933-023-02005-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 09/23/2023] [Indexed: 10/15/2023] Open
Abstract
BACKGROUND The stress hyperglycemia ratio (SHR) has demonstrated a noteworthy association with unfavorable cardiovascular clinical outcomes and heightened in-hospital mortality. Nonetheless, this relationship in critically ill patients remains uncertain. This study aims to elucidate the correlation between SHR and patient prognosis within the critical care setting. METHODS A total of 8978 patients admitted in intensive care unit (ICU) were included in this study. We categorized SHR into uniform groups and assessed its relationship with mortality using logistic or Cox regression analysis. Additionally, we employed the restricted cubic spline (RCS) analysis method to further evaluate the correlation between SHR as a continuous variable and mortality. The outcomes of interest in this study were in-hospital and 1-year all-cause mortality. RESULTS In this investigation, a total of 825 (9.2%) patients experienced in-hospital mortality, while 3,130 (34.9%) individuals died within the 1-year follow-up period. After adjusting for confounding variables, we identified a U-shaped correlation between SHR and both in-hospital and 1-year mortality. Specifically, within the SHR range of 0.75-0.99, the incidence of adverse events was minimized. For each 0.25 increase in the SHR level within this range, the risk of in-hospital mortality rose by 1.34-fold (odds ratio [OR]: 1.34, 95% CI: 1.25-1.44), while a 0.25 decrease in SHR within 0.75-0.99 range increased risk by 1.38-fold (OR: 1.38, 95% CI: 1.10-1.75). CONCLUSION There was a U-shaped association between SHR and short- and long-term mortality in critical ill patients, and the inflection point of SHR for poor prognosis was identified at an SHR value of 0.96.
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Affiliation(s)
- Le Li
- Chinese Academy of Medical Sciences, Peking Union Medical College, National Center for Cardiovascular Diseases, Fu Wai Hospital, Beijing, 100037, China
| | - Minghao Zhao
- Chinese Academy of Medical Sciences, Peking Union Medical College, National Center for Cardiovascular Diseases, Fu Wai Hospital, Beijing, 100037, China
| | - Zhuxin Zhang
- Chinese Academy of Medical Sciences, Peking Union Medical College, National Center for Cardiovascular Diseases, Fu Wai Hospital, Beijing, 100037, China
| | - Likun Zhou
- Chinese Academy of Medical Sciences, Peking Union Medical College, National Center for Cardiovascular Diseases, Fu Wai Hospital, Beijing, 100037, China
| | - Zhenhao Zhang
- Chinese Academy of Medical Sciences, Peking Union Medical College, National Center for Cardiovascular Diseases, Fu Wai Hospital, Beijing, 100037, China
| | - Yulong Xiong
- Chinese Academy of Medical Sciences, Peking Union Medical College, National Center for Cardiovascular Diseases, Fu Wai Hospital, Beijing, 100037, China
| | - Zhao Hu
- Chinese Academy of Medical Sciences, Peking Union Medical College, National Center for Cardiovascular Diseases, Fu Wai Hospital, Beijing, 100037, China
| | - Yan Yao
- Chinese Academy of Medical Sciences, Peking Union Medical College, National Center for Cardiovascular Diseases, Fu Wai Hospital, Beijing, 100037, China.
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Yang CD, Chen JW, Quan JW, Shu XY, Feng S, Aihemaiti M, Ding FH, Shen WF, Lu L, Zhang RY, Wang XQ. Long-term glycemic variability predicts compromised development of heart failure with improved ejection fraction: a cohort study. Front Endocrinol (Lausanne) 2023; 14:1211954. [PMID: 37800137 PMCID: PMC10547879 DOI: 10.3389/fendo.2023.1211954] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 08/31/2023] [Indexed: 10/07/2023] Open
Abstract
Background A substantial portion of heart failure (HF) patients adherent to guideline-directed medical therapies have experienced improved ejection fraction (EF), termed HFimpEF. Glycemic variability (GV) has emerged as a critical cardiometabolic factor. However, the relation between long-term GV and the incidence of HFimpEF is still unclear. Methods A total of 591 hospitalized HF patients with reduced EF (HFrEF, EF≤ 40%) admitted from January 2013 to December 2020 were consecutively enrolled. Repeat echocardiograms were performed at baseline and after around 12 months. The incidence of HFimpEF, defined as (1) an absolute EF improvement ≥10% and (2) a second EF > 40% and its association with long-term fasting plasma glucose (FPG) variability were analyzed. Results During a mean follow-up of 12.2 ± 0.6 months, 218 (42.0%) patients developed HFimpEF. Multivariate analysis showed FPG variability was independently associated with the incidence of HFimpEF after adjustment for baseline HbA1c, mean FPG during follow-up and other traditional risk factors (odds ratio [OR] for highest vs. lowest quartile of CV of FPG: 0.487 [95% CI 0.257~0.910]). Evaluation of GV by alternative measures yielded similar results. Subgroup analysis revealed that long-term GV was associated with HFimpEF irrespective of glycemic levels and diabetic conditions. Conclusions This study reveals that greater FPG variability is associated with compromised development of HFimpEF. A more stable control of glycemic levels might provide favorable effects on myocardial functional recovery in HF patients even without diabetes.
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Affiliation(s)
- Chen Die Yang
- Department of Cardiovascular Medicine, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Jia Wei Chen
- Institute of Cardiovascular Disease, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Jin Wei Quan
- Institute of Cardiovascular Disease, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Xin Yi Shu
- Institute of Cardiovascular Disease, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Shuo Feng
- Department of Cardiovascular Medicine, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Muladili Aihemaiti
- Institute of Cardiovascular Disease, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Feng Hua Ding
- Department of Cardiovascular Medicine, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Wei Feng Shen
- Department of Cardiovascular Medicine, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
- Institute of Cardiovascular Disease, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Lin Lu
- Department of Cardiovascular Medicine, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
- Institute of Cardiovascular Disease, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Rui Yan Zhang
- Department of Cardiovascular Medicine, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Xiao Qun Wang
- Department of Cardiovascular Medicine, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
- Institute of Cardiovascular Disease, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
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Zhou Q, Yang J, Wang W, Shao C, Hua X, Tang YD. The impact of the stress hyperglycemia ratio on mortality and rehospitalization rate in patients with acute decompensated heart failure and diabetes. Cardiovasc Diabetol 2023; 22:189. [PMID: 37495967 PMCID: PMC10373236 DOI: 10.1186/s12933-023-01908-2] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 06/30/2023] [Indexed: 07/28/2023] Open
Abstract
BACKGROUND The relationship between stress hyperglycemia and long-term prognosis in acute decompensated heart failure (ADHF) patients is unknown. This study investigated the associations of stress hyperglycemia with mortality and rehospitalization rates among ADHF patients with diabetes. METHODS We consecutively enrolled 1904 ADHF patients. Among them, 780 were with diabetes. Stress hyperglycemia was estimated using the stress hyperglycemia ratio (SHR), which was calculated by the following formula: SHR = admission blood glucose/[(28.7 × HbA1c%) - 46.7]. All diabetic ADHF subjects were divided into quintiles according to the SHR. The primary endpoint was all-cause death at the 3-year follow-up. The secondary endpoints were cardiovascular (CV) death and heart failure (HF) rehospitalization at the 3-year follow-up. A Cox proportional hazards model and restricted cubic spline analysis were used to elucidate the relationship between the SHR and the endpoints in diabetic ADHF patients. Further analyses were performed to examine the relationships between SHR and the outcomes in heart failure with preserved ejection fraction (HFpEF) and heart failure with reduced ejection fraction (HFrEF). RESULTS A total of 169 all-cause deaths were recorded during a median follow-up of 3.24 years. Restricted cubic spline analysis suggested a U-shaped association between the SHR and the mortality and rehospitalization rates. Kaplan-Meier survival analysis showed the lowest mortality in the 2nd quintile (P = 0.0028). Patients categorized in the highest range (5th quintile) of SHR, compared to those in the 2nd quintile, exhibited the greatest susceptibility to all-cause death (with a hazard ratio [HR] of 2.76 and a 95% confidence interval [CI] of 1.63-4.68), CV death (HR 2.81 [95% CI 1.66-4.75]) and the highest rate of HF rehospitalization (HR 1.54 [95% CI 1.03-2.32]). Similarly, patients in the lowest range (1st quintile) of SHR also exhibited significantly increased risks of all-cause death (HR 2.33, 95% CI 1.35-4.02) and CV death (HR 2.32, 95% CI 1.35-4.00). Further analyses indicated that the U-shape association between the SHR and mortality remained significant in both HFpEF and HFrEF patients. CONCLUSION Both elevated and reduced SHRs indicate an unfavorable long-term prognosis in patients with ADHF and diabetes.
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Affiliation(s)
- Qing Zhou
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fuwai Hospital, Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China
- Department of Cardiology and Institute of Vascular Medicine, Peking University Third Hospital, No. 49 Huayuanbei Road, Beijing, 100191, China
- State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing, 100191, China
- NHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Peking University, Beijing, 100191, China
- Beijing Key Laboratory of Cardiovascular Receptors Research, Beijing, 100191, China
| | - Jie Yang
- Department of Cardiology and Institute of Vascular Medicine, Peking University Third Hospital, No. 49 Huayuanbei Road, Beijing, 100191, China
- State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing, 100191, China
- NHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Peking University, Beijing, 100191, China
- Beijing Key Laboratory of Cardiovascular Receptors Research, Beijing, 100191, China
| | - Wenyao Wang
- Department of Cardiology and Institute of Vascular Medicine, Peking University Third Hospital, No. 49 Huayuanbei Road, Beijing, 100191, China
- State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing, 100191, China
- NHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Peking University, Beijing, 100191, China
- Beijing Key Laboratory of Cardiovascular Receptors Research, Beijing, 100191, China
| | - Chunli Shao
- Department of Cardiology and Institute of Vascular Medicine, Peking University Third Hospital, No. 49 Huayuanbei Road, Beijing, 100191, China
- State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing, 100191, China
- NHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Peking University, Beijing, 100191, China
- Beijing Key Laboratory of Cardiovascular Receptors Research, Beijing, 100191, China
| | - Xinwei Hua
- Department of Cardiology and Institute of Vascular Medicine, Peking University Third Hospital, No. 49 Huayuanbei Road, Beijing, 100191, China.
- State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing, 100191, China.
- NHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Peking University, Beijing, 100191, China.
- Beijing Key Laboratory of Cardiovascular Receptors Research, Beijing, 100191, China.
| | - Yi-Da Tang
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fuwai Hospital, Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China.
- Department of Cardiology and Institute of Vascular Medicine, Peking University Third Hospital, No. 49 Huayuanbei Road, Beijing, 100191, China.
- State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing, 100191, China.
- NHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Peking University, Beijing, 100191, China.
- Beijing Key Laboratory of Cardiovascular Receptors Research, Beijing, 100191, China.
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Song Y, Cui K, Yang M, Song C, Yin D, Dong Q, Gao Y, Dou K. High triglyceride-glucose index and stress hyperglycemia ratio as predictors of adverse cardiac events in patients with coronary chronic total occlusion: a large-scale prospective cohort study. Cardiovasc Diabetol 2023; 22:180. [PMID: 37454147 PMCID: PMC10350280 DOI: 10.1186/s12933-023-01883-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Accepted: 06/10/2023] [Indexed: 07/18/2023] Open
Abstract
BACKGROUND The triglyceride-glucose (TyG) index and the stress hyperglycaemia ratio (SHR) are both positively associated with cardiovascular (CV) risk in patients with coronary heart disease. However, the prognostic value of these two biomarkers has not been well elucidated in patients with chronic total occlusion (CTO). Therefore, this study aims to evaluate the association of the TyG index and the SHR with long-term prognosis in patients with CTO. METHODS This prospective cohort study consecutively included 2740 angina patients with CTO from January 2017 to December 2018 at Fuwai Hospital. The outcomes are a composite of CV death and target vessel myocardial infarction (TVMI) and major CV cerebrovascular adverse events (MACCEs, including all-cause death, nonfatal MI, ischaemia-driven target vessel revascularization, and stroke). The association between biomarkers and prognosis was analysed by multivariable Cox proportional hazard models, and the predictive value was determined by a receiver-operating characteristic (ROC) curve. RESULTS During the follow-up with a median time of 3 years, 179 (6.5%) cases of MACCEs and 47 (1.7%) cases of CV death or TVMI were recorded. Patients with a high TyG index (> 9.10) and a high SHR (> 0.87) showed a significantly increased risk of CV death/TVMI (TyG index: HR 4.23, 95% CI 1.58-11.37; SHR: HR 5.14, 95% CI 1.89-13.98) and MACCEs (TyG index: HR 2.47, 95% CI 1.54-3.97; SHR: HR 2.91, 95% CI 1.84-4.60) compared with those with a low Tyg index and a low SHR (TyG < 8.56, SHR < 0.76). The area under the curve (AUC) values were 0.623 (TyG index) and 0.589 (SHR) for CV death/TVMI and 0.659 (TyG index) and 0.624 (SHR) for MACCEs. Furthermore, patients with both a high TyG index and a high SHR showed the highest risk of clinical outcomes among patients with different levels of these two biomarkers, and the AUC for the TyG-SHR combination was larger than the TyG index alone in predicting MACCE risk. CONCLUSIONS The study revealed that a high TyG index and a high SHR were significantly correlated with poor prognosis in patients with CTO and suggested that these two biomarkers are reliable in predicting long-term prognosis in CTO patients.
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Affiliation(s)
- Yanjun Song
- Cardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- State Key Laboratory of Cardiovascular Disease, 167, Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Kongyong Cui
- Cardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- State Key Laboratory of Cardiovascular Disease, 167, Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Min Yang
- Cardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- State Key Laboratory of Cardiovascular Disease, 167, Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Chenxi Song
- Cardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- State Key Laboratory of Cardiovascular Disease, 167, Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Dong Yin
- Cardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- State Key Laboratory of Cardiovascular Disease, 167, Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Qiuting Dong
- Cardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- State Key Laboratory of Cardiovascular Disease, 167, Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Ying Gao
- Cardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
- State Key Laboratory of Cardiovascular Disease, 167, Beilishi Road, Xicheng District, Beijing, 100037, China.
| | - Kefei Dou
- Cardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
- State Key Laboratory of Cardiovascular Disease, 167, Beilishi Road, Xicheng District, Beijing, 100037, China.
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Fang Q, Shi J, Zhang J, Peng Y, Liu C, Wei X, Hu Z, Sun L, Hong J, Gu W, Wang W, Zhang Y. Visit-to-visit HbA1c variability is associated with aortic stiffness progression in participants with type 2 diabetes. Cardiovasc Diabetol 2023; 22:167. [PMID: 37415203 PMCID: PMC10324236 DOI: 10.1186/s12933-023-01884-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2023] [Accepted: 06/11/2023] [Indexed: 07/08/2023] Open
Abstract
BACKGROUND Glycemic variability plays an important role in the development of cardiovascular disease (CVD). This study aims to determine whether long-term visit-to-visit glycemic variability is associated with aortic stiffness progression in participants with type 2 diabetes (T2D). METHODS Prospective data were obtained from 2115 T2D participants in the National Metabolic Management Center (MMC) from June 2017 to December 2022. Two brachial-ankle pulse wave velocity (ba-PWV) measurements were performed to assess aortic stiffness over a mean follow-up period of 2.6 years. A multivariate latent class growth mixed model was applied to identify trajectories of blood glucose. Logistic regression models were used to determine the odds ratio (OR) for aortic stiffness associated with glycemic variability evaluated by the coefficient of variation (CV), variability independent of the mean (VIM), average real variability (ARV), and successive variation (SV) of blood glucose. RESULTS Four distinct trajectories of glycated hemoglobin (HbA1c) or fasting blood glucose (FBG) were identified. In the U-shape class of HbA1c and FBG, the adjusted ORs were 2.17 and 1.21 for having increased/persistently high ba-PWV, respectively. Additionally, HbA1c variability (CV, VIM, SV) was significantly associated with aortic stiffness progression, with ORs ranging from 1.20 to 1.24. Cross-tabulation analysis indicated that the third tertile of the HbA1c mean and VIM conferred a 78% (95% confidence interval [CI] 1.23-2.58) higher odds of aortic stiffness progression. Sensitivity analysis demonstrated that the SD of HbA1c and the highest HbA1c variability score (HVS) were significantly associated with the adverse outcomes independent of the mean of HbA1c during the follow-up. CONCLUSIONS Long-term visit-to-visit HbA1c variability was independently associated with aortic stiffness progression, suggesting that HbA1c variability was a strong predictor of subclinical atherosclerosis in T2D participants.
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Affiliation(s)
- Qianhua Fang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Juan Shi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jia Zhang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ying Peng
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Cong Liu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xing Wei
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhuomeng Hu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lin Sun
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jie Hong
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weiqiong Gu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Yifei Zhang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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Meng X, Gao J, Zhang K, Jun W, Wang JJ, Wang XL, Wang YGS, Zheng JL, Liu YP, Song JJ, Yang J, Zheng YT, Li C, Wang WY, Shao C, Tang YD. The triglyceride-glucose index as a potential protective factor for hypertrophic obstructive cardiomyopathy without diabetes: evidence from a two-center study. Diabetol Metab Syndr 2023; 15:143. [PMID: 37386489 DOI: 10.1186/s13098-023-01084-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Accepted: 05/09/2023] [Indexed: 07/01/2023] Open
Abstract
OBJECTIVE This study aimed to investigate the relationship between the TyG (Triglyceride-glucose index) and the prognosis of patients with HOCM (hypertrophic obstructive cardiomyopathy) without diabetes. RESEARCH DESIGN AND METHODS A total of 713 eligible patients with HOCM were enrolled in this study and divided into two groups based on treatment: an invasive treatment group (n = 461) and a non-invasive treatment group (n = 252). The patients in both two groups were then divided into three groups based on their TyG index levels. The primary endpoints of this study were Cardiogenic death during long-term follow-up. Kaplan-Meier analysis was used to study the cumulative survival of different groups. Restricted cubic spline was used to model nonlinear relationships between the TyG index and primary endpoints. Myocardial perfusion imaging/Myocardial metabolic imaging examinations were performed to assess glucose metabolism in the ventricular septum of the HOCM patients. RESULTS The follow-up time of this study was 41.47 ± 17.63 months. The results showed that patients with higher TyG index levels had better clinical outcomes (HR, 0.215; 95% CI 0.051,0.902; P = 0.036, invasive treatment group; HR, 0.179; 95% CI 0.063,0.508; P = 0.001, non-invasive treatment group). Further analysis showed that glucose metabolism in the ventricular septum was enhanced in HOCM patients. CONCLUSIONS The findings of this study suggest that the TyG index may serve as a potential protective factor for patients with HOCM without diabetes. The enhanced glucose metabolism in the ventricular septum of HOCM patients may provide a potential explanation for the relationship between the TyG index and HOCM prognosis.
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Affiliation(s)
- Xiangbin Meng
- Department of Cardiology and Institute of Vascular Medicine, Key Laboratory of Molecular Cardiovascular Science, Ministry of Education, Peking University Third Hospital, No.49 Huayuanbei Road, Beijing, 100191, China
| | - Jun Gao
- Department of Cardiology and Institute of Vascular Medicine, Key Laboratory of Molecular Cardiovascular Science, Ministry of Education, Peking University Third Hospital, No.49 Huayuanbei Road, Beijing, 100191, China
| | - Kuo Zhang
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China
| | - Wen Jun
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China
| | - Jing-Jia Wang
- Department of Cardiology and Institute of Vascular Medicine, Key Laboratory of Molecular Cardiovascular Science, Ministry of Education, Peking University Third Hospital, No.49 Huayuanbei Road, Beijing, 100191, China
| | - Xu-Liang Wang
- Department of Cardiology and Institute of Vascular Medicine, Key Laboratory of Molecular Cardiovascular Science, Ministry of Education, Peking University Third Hospital, No.49 Huayuanbei Road, Beijing, 100191, China
| | - Yuan-Geng-Shuo Wang
- Department of Cardiology and Institute of Vascular Medicine, Key Laboratory of Molecular Cardiovascular Science, Ministry of Education, Peking University Third Hospital, No.49 Huayuanbei Road, Beijing, 100191, China
| | - Ji-Lin Zheng
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China
| | - Yu-Peng Liu
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Jing-Jing Song
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China
| | - Jie Yang
- Department of Cardiology and Institute of Vascular Medicine, Key Laboratory of Molecular Cardiovascular Science, Ministry of Education, Peking University Third Hospital, No.49 Huayuanbei Road, Beijing, 100191, China
| | - Yi-Tian Zheng
- Department of Cardiology and Institute of Vascular Medicine, Key Laboratory of Molecular Cardiovascular Science, Ministry of Education, Peking University Third Hospital, No.49 Huayuanbei Road, Beijing, 100191, China
| | - Chen Li
- Department of Cardiology and Institute of Vascular Medicine, Key Laboratory of Molecular Cardiovascular Science, Ministry of Education, Peking University Third Hospital, No.49 Huayuanbei Road, Beijing, 100191, China
| | - Wen-Yao Wang
- Department of Cardiology and Institute of Vascular Medicine, Key Laboratory of Molecular Cardiovascular Science, Ministry of Education, Peking University Third Hospital, No.49 Huayuanbei Road, Beijing, 100191, China.
| | - Chunli Shao
- Department of Cardiology and Institute of Vascular Medicine, Key Laboratory of Molecular Cardiovascular Science, Ministry of Education, Peking University Third Hospital, No.49 Huayuanbei Road, Beijing, 100191, China.
| | - Yi-Da Tang
- Department of Cardiology and Institute of Vascular Medicine, Key Laboratory of Molecular Cardiovascular Science, Ministry of Education, Peking University Third Hospital, No.49 Huayuanbei Road, Beijing, 100191, China.
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Juneja D, Deepak D, Nasa P. What, why and how to monitor blood glucose in critically ill patients. World J Diabetes 2023; 14:528-538. [PMID: 37273246 PMCID: PMC10236998 DOI: 10.4239/wjd.v14.i5.528] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 01/17/2023] [Accepted: 03/07/2023] [Indexed: 05/15/2023] Open
Abstract
Critically ill patients are prone to high glycemic variations irrespective of their diabetes status. This mandates frequent blood glucose (BG) monitoring and regulation of insulin therapy. Even though the most commonly employed capillary BG monitoring is convenient and rapid, it is inaccurate and prone to high bias, overestimating BG levels in critically ill patients. The targets for BG levels have also varied in the past few years ranging from tight glucose control to a more liberal approach. Each of these has its own fallacies, while tight control increases risk of hypoglycemia, liberal BG targets make the patients prone to hyperglycemia. Moreover, the recent evidence suggests that BG indices, such as glycemic variability and time in target range, may also affect patient outcomes. In this review, we highlight the nuances associated with BG monitoring, including the various indices required to be monitored, BG targets and recent advances in BG monitoring in critically ill patients.
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Affiliation(s)
- Deven Juneja
- Institute of Critical Care Medicine, Max Super Speciality Hospital, Saket, New Delhi 110017, India
| | - Desh Deepak
- Department of Critical Care, King's College Hospital, Dubai 340901, United Arab Emirates
| | - Prashant Nasa
- Department of Critical Care, NMC Speciality Hospital, Dubai 7832, United Arab Emirates
- Department of Critical Care, College of Medicine and Health Sciences, Al Ain 15551, United Arab Emirates
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Shen H, Wang S, Zhang C, Gao W, Cui X, Zhang Q, Lang Y, Ning M, Li T. Association of hyperglycemia ratio and ventricular arrhythmia in critically ill patients admitted to the intensive care unit. BMC Cardiovasc Disord 2023; 23:215. [PMID: 37118670 PMCID: PMC10148444 DOI: 10.1186/s12872-023-03208-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2022] [Accepted: 03/27/2023] [Indexed: 04/30/2023] Open
Abstract
INTRODUCTION The relationship between relative hyperglycemia and ventricular arrhythmia (VA) in critically ill patients admitted to intensive care units (ICU) remains unclear. This study aims to investigate the association between stress hyperglycemia ratio (SHR) and VA in this population. METHODS This retrospective and observational study analyzed data from 4324 critically ill patients admitted to the ICU, obtained from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. The SHR was calculated as the highest blood glucose level during the first 24 h of ICU admission divided by the admission blood glucose level. Based on the optimal cut-off values under the receiver operating characteristic curve, patients were stratified into high SHR (≥ 1.31) and low SHR (< 1.31) group. To investigate the impact of diabetes mellitus (DM) on the outcome, patients were stratified as low SHR/DM; low SHR/non-DM; high SHR/DM, and high SHR/non-DM. Restricted cubic spline (RCS) and logistic regression analysis were performed to analyze the relationship between SHR and VA. RESULTS A total of 4,324 critically ill patients were included in this retrospective and observational study. The incidence of VA was higher in the high SHR group. Multiple-adjusted RCS revealed a "J-shaped" correlation between SHR and VA morbidity. The logistic regression model demonstrated that high SHR was associated with VA. The high SHR/non-DM group had a higher risk of VA than other groups stratified based on SHR and DM. Subgroup analysis showed that high SHR was associated with an increased risk of VA in patients with coronary artery disease. CONCLUSION High SHR is an independent risk factor and has potential as a biomarker of higher VT/VF risk in ICU-admitted patients.
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Affiliation(s)
- Hechen Shen
- The Third Central Clinical College of Tianjin Medical University, Tianjin, China
- Department of Heart Center, The Third Central Hospital of Tianjin, Tianjin, China
- Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Tianjin, China
- Tianjin ECMO Treatment and Training Base, Tianjin, China
- Artificial Cell Engineering Technology Research Center, Tianjin, China
| | - Song Wang
- Department of Heart Center, The Third Central Hospital of Tianjin, Tianjin, China
- Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Tianjin, China
- Tianjin ECMO Treatment and Training Base, Tianjin, China
- Artificial Cell Engineering Technology Research Center, Tianjin, China
| | - Chong Zhang
- The Third Central Clinical College of Tianjin Medical University, Tianjin, China
- Department of Heart Center, The Third Central Hospital of Tianjin, Tianjin, China
- Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Tianjin, China
- Tianjin ECMO Treatment and Training Base, Tianjin, China
- Artificial Cell Engineering Technology Research Center, Tianjin, China
| | - Wenqing Gao
- Department of Heart Center, The Third Central Hospital of Tianjin, Tianjin, China
- Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Tianjin, China
- Tianjin ECMO Treatment and Training Base, Tianjin, China
- Artificial Cell Engineering Technology Research Center, Tianjin, China
- School of Medicine, Nankai University, Tianjin, China
- Nankai University Affiliated Third Center Hospital, Nankai University, Tianjin, China
| | - Xiaoqiong Cui
- Department of Heart Center, The Third Central Hospital of Tianjin, Tianjin, China
- Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Tianjin, China
- Tianjin ECMO Treatment and Training Base, Tianjin, China
- Artificial Cell Engineering Technology Research Center, Tianjin, China
- School of Medicine, Nankai University, Tianjin, China
- Nankai University Affiliated Third Center Hospital, Nankai University, Tianjin, China
| | - Qiang Zhang
- Department of Heart Center, The Third Central Hospital of Tianjin, Tianjin, China
- Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Tianjin, China
- Tianjin ECMO Treatment and Training Base, Tianjin, China
- Artificial Cell Engineering Technology Research Center, Tianjin, China
- School of Medicine, Nankai University, Tianjin, China
- Nankai University Affiliated Third Center Hospital, Nankai University, Tianjin, China
| | - Yuheng Lang
- Department of Heart Center, The Third Central Hospital of Tianjin, Tianjin, China
- Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Tianjin, China
- Tianjin ECMO Treatment and Training Base, Tianjin, China
- Artificial Cell Engineering Technology Research Center, Tianjin, China
- School of Medicine, Nankai University, Tianjin, China
- Nankai University Affiliated Third Center Hospital, Nankai University, Tianjin, China
| | - Meng Ning
- Department of Heart Center, The Third Central Hospital of Tianjin, Tianjin, China
- Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Tianjin, China
- Tianjin ECMO Treatment and Training Base, Tianjin, China
- Artificial Cell Engineering Technology Research Center, Tianjin, China
- School of Medicine, Nankai University, Tianjin, China
- Nankai University Affiliated Third Center Hospital, Nankai University, Tianjin, China
| | - Tong Li
- The Third Central Clinical College of Tianjin Medical University, Tianjin, China.
- Department of Heart Center, The Third Central Hospital of Tianjin, Tianjin, China.
- Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Tianjin, China.
- Tianjin ECMO Treatment and Training Base, Tianjin, China.
- Artificial Cell Engineering Technology Research Center, Tianjin, China.
- School of Medicine, Nankai University, Tianjin, China.
- Nankai University Affiliated Third Center Hospital, Nankai University, Tianjin, China.
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Wei QC, Chen YW, Gao QY, Ren KD, Liu YB, He F, Shi JT, Jiang J. Association of stress hyperglycemia with clinical outcomes in patients with ST-elevation myocardial infarction undergoing percutaneous coronary intervention: a cohort study. Cardiovasc Diabetol 2023; 22:85. [PMID: 37046267 PMCID: PMC10100063 DOI: 10.1186/s12933-023-01812-9] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Accepted: 03/24/2023] [Indexed: 04/14/2023] Open
Abstract
BACKGROUND In recent years, several studies have demonstrated that stress hyperglycemia is significantly associated with poor prognosis in patients diagnosed with acute coronary syndrome (ACS). In the present study, we aimed to investigate the potential associations between various markers of stress hyperglycemia, such as admission blood glucose (ABG), fasting blood sugar (FBS), and stress hyperglycemia ratio (SHR) with different definitions, and the occurrence of adverse cardiovascular events in patients diagnosed with ST-elevation myocardial infarction (STEMI) who have undergone percutaneous coronary intervention (PCI). METHODS Our study enrolled a total of 1099 patients diagnosed with STEMI who underwent PCI from 2016 to 2021. The primary outcomes of this study were in-hospital death and all-cause mortality. RESULTS Stress hyperglycemia was associated with a higher incidence of in-hospital death (ABG OR: 1.27 95% CI 1.19-1.36; FBS OR: 1.25 95% CI 1.16-1.35; SHR1 OR: 1.61 95% CI 1.21-2.14; SHR2 OR: 1.57, 95%CI 1.22-2.01; SHR3 OR: 1.59, 95%CI 1.24-2.05) and all-cause mortality (ABG HR: 1.10, 95% CI 1.07-1.14; FBS HR: 1.12, 95 CI 1.07-1.17; SHR1 HR: 1.19 95% CI 1.03-1.39; SHR2 HR: 1.28, 95%CI 1.14-1.44; SHR3 HR: 1.29, 95%CI 1.14-1.45) after adjusting for ischemic time, age, gender, BMI, hypertension, hyperlipidemia, diabetes mellitus (DM), current smoking history, chronic kidney disease (CKD), previous history of coronary artery disease (CAD), atrial fibrillation (AF), heart failure (HF), stroke, cancer, culprit vessel, multi-vessel disease. These associations exhibited a non-linear, J-shaped pattern, wherein the risk significantly increased when the ABG and FBS levels exceeded 5mmol/L. Moreover, the inflection point for SHR was estimated to be 1.2. CONCLUSIONS Stress hyperglycemia was significantly associated with an increased risk of in-hospital death and all-cause mortality in STEMI patients treated with PCI. Stress hyperglycemia should be considered a high-risk prognostic marker in all STEMI patients, regardless of with or without diabetes.
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Affiliation(s)
- Qu-Cheng Wei
- Department of Cardiology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yu-Wen Chen
- Department of Cardiology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Qi-Yue Gao
- Department of Cardiology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Kai-Da Ren
- Department of Cardiology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Ya-Bin Liu
- Department of Cardiology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Fan He
- Department of Cardiology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jia-Tong Shi
- Department of Cardiology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jun Jiang
- Department of Cardiology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
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Xiong S, Luo Y, Chen Q, Chen Y, Su H, Long Y, Chen X, Yang S, Qi L, Huang W, Hou J, Liu H, Cai L. Adjustment of the GRACE score by the stress hyperglycemia ratio improves the prediction of long-term major adverse cardiac events in patients with acute coronary syndrome undergoing percutaneous coronary intervention: A multicenter retrospective study. Diabetes Res Clin Pract 2023; 198:110601. [PMID: 36871875 DOI: 10.1016/j.diabres.2023.110601] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 02/15/2023] [Accepted: 02/28/2023] [Indexed: 03/07/2023]
Abstract
AIMS The predictive value of the stress hyperglycemia ratio (SHR) for long-term prognosis in acute coronary syndrome (ACS) is inconsistent. Whether the SHR provides additional prognostic value in addition to the GRACE score in ACS patients undergoing percutaneous coronary intervention (PCI) remains unknown. METHODS A development-validation method was adopted to develop an algorithm to adjust the GRACE score using the SHR in ACS patients undergoing PCI from 11 hospitals. RESULTS During a median follow-up of 31.33 months, the occurrence of major adverse cardiac events (MACEs), defined as a composite of all-cause mortality and nonfatal myocardial infarction, was more frequent in the patients with a higher level of SHR. The SHR independently predicted long-term MACEs (hazard ratio 3.3479; 95% CI 1.4103-7.9475; P = 0.0062). Adjustment of the GRACE risk by addition of the SHR increased the C-statistic from 0.706 (95% CI: 0.599-0.813) to 0.727 (95% CI: 0.616-0.837) (P < 0.01), with a continuous net reclassification improvement of 30.5% and an integrated discrimination improvement of 0.042 (P < 0.01) in the derivation cohort; and addition of the SHR showed superior discrimination and good calibration in the validation cohort. CONCLUSIONS The SHR is an independent predictor of long-term MACEs in ACS patients undergoing PCI and markedly improves the performance of the GRACE score.
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Affiliation(s)
- Shiqiang Xiong
- From Affiliated Hospital of Southwest Jiaotong University, the Third People's Hospital of Chengdu, Chengdu Cardiovascular Disease Research Institute, Chengdu 610014, Sichuan, China
| | - Yan Luo
- From Affiliated Hospital of Southwest Jiaotong University, the Third People's Hospital of Chengdu, Chengdu Cardiovascular Disease Research Institute, Chengdu 610014, Sichuan, China
| | - Qiang Chen
- From Affiliated Hospital of Southwest Jiaotong University, the Third People's Hospital of Chengdu, Chengdu Cardiovascular Disease Research Institute, Chengdu 610014, Sichuan, China
| | - Yingzhong Chen
- From Affiliated Hospital of Southwest Jiaotong University, the Third People's Hospital of Chengdu, Chengdu Cardiovascular Disease Research Institute, Chengdu 610014, Sichuan, China
| | - Hong Su
- From Affiliated Hospital of Southwest Jiaotong University, the Third People's Hospital of Chengdu, Chengdu Cardiovascular Disease Research Institute, Chengdu 610014, Sichuan, China
| | - Yu Long
- From Affiliated Hospital of Southwest Jiaotong University, the Third People's Hospital of Chengdu, Chengdu Cardiovascular Disease Research Institute, Chengdu 610014, Sichuan, China
| | - Xu Chen
- From Affiliated Hospital of Southwest Jiaotong University, the Third People's Hospital of Chengdu, Chengdu Cardiovascular Disease Research Institute, Chengdu 610014, Sichuan, China
| | - Siqi Yang
- From Affiliated Hospital of Southwest Jiaotong University, the Third People's Hospital of Chengdu, Chengdu Cardiovascular Disease Research Institute, Chengdu 610014, Sichuan, China
| | - Lingyao Qi
- From Affiliated Hospital of Southwest Jiaotong University, the Third People's Hospital of Chengdu, Chengdu Cardiovascular Disease Research Institute, Chengdu 610014, Sichuan, China
| | - Wenchao Huang
- From Affiliated Hospital of Southwest Jiaotong University, the Third People's Hospital of Chengdu, Chengdu Cardiovascular Disease Research Institute, Chengdu 610014, Sichuan, China
| | - Jun Hou
- From Affiliated Hospital of Southwest Jiaotong University, the Third People's Hospital of Chengdu, Chengdu Cardiovascular Disease Research Institute, Chengdu 610014, Sichuan, China.
| | - Hanxiong Liu
- From Affiliated Hospital of Southwest Jiaotong University, the Third People's Hospital of Chengdu, Chengdu Cardiovascular Disease Research Institute, Chengdu 610014, Sichuan, China.
| | - Lin Cai
- From Affiliated Hospital of Southwest Jiaotong University, the Third People's Hospital of Chengdu, Chengdu Cardiovascular Disease Research Institute, Chengdu 610014, Sichuan, China.
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Lin Z, Liang X, Zhang Y, Dai Y, Zeng L, Chen W, Kong S, He P, Duan C, Liu Y. Positive association between stress hyperglycemia ratio and pulmonary infection in patients with ST-segment elevation myocardial infarction undergoing percutaneous coronary intervention. Cardiovasc Diabetol 2023; 22:76. [PMID: 37004002 PMCID: PMC10067314 DOI: 10.1186/s12933-023-01799-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Accepted: 03/13/2023] [Indexed: 04/03/2023] Open
Abstract
BACKGROUND Previous studies have shown that the stress hyperglycemia ratio (SHR), a parameter of relative stress-induced hyperglycemia, is an excellent predictive factor for all-cause mortality and major adverse cardiovascular events (MACEs) among patients with ST-segment elevation myocardial infarction (STEMI). However, its association with pulmonary infection in patients with STEMI during hospitalization remains unclear. METHODS Patients with STEMI undergoing percutaneous coronary intervention (PCI) were consecutively enrolled from 2010 to 2020. The primary endpoint was the occurrence of pulmonary infection during hospitalization, and the secondary endpoint was in-hospital MACEs, composed of all-cause mortality, stroke, target vessel revascularization, or recurrent myocardial infarction. RESULTS A total of 2,841 patients were finally included, with 323 (11.4%) developing pulmonary infection and 165 (5.8%) developing in-hospital MACEs. The patients were divided into three groups according to SHR tertiles. A higher SHR was associated with a higher rate of pulmonary infection during hospitalization (8.1%, 9.9%, and 18.0%, P < 0.001) and in-hospital MACEs (3.7%, 5.1%, and 8.6%, P < 0.001). Multivariate logistic regression analysis demonstrated that SHR was significantly associated with the risk of pulmonary infection during hospitalization (odds ratio [OR] = 1.46, 95% confidence interval [CI] 1.06-2.02, P = 0.021) and in-hospital MACEs (OR = 1.67, 95% CI 1.17-2.39, P = 0.005) after adjusting for potential confounding factors. The cubic spline models demonstrated no significant non-linear relationship between SHR and pulmonary infection (P = 0.210) and MACEs (P = 0.743). In receiver operating characteristic curve, the best cutoff value of SHR for pulmonary infection was 1.073. CONCLUSIONS The SHR is independently associated with the risk of pulmonary infection during hospitalization and in-hospital MACEs for patients with STEMI undergoing PCI.
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Affiliation(s)
- Zehuo Lin
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
- Shantou University Medical College, Shantou, China
| | - Xueqing Liang
- Department of Biostatistics, School of Public Health, Southern Medical University, Guangzhou, China
| | - Yeshen Zhang
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
| | - Yining Dai
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
| | - Lin Zeng
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
| | - Weikun Chen
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
| | - Siyu Kong
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
| | - Pengcheng He
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.
- Department of Cardiology, Heyuan People's Hospital, Heyuan, China.
| | - Chongyang Duan
- Department of Biostatistics, School of Public Health, Southern Medical University, Guangzhou, China.
| | - Yuanhui Liu
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.
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Wang M, Su W, Cao N, Chen H, Li H. Prognostic implication of stress hyperglycemia in patients with acute coronary syndrome undergoing percutaneous coronary intervention. Cardiovasc Diabetol 2023; 22:63. [PMID: 36944934 PMCID: PMC10031999 DOI: 10.1186/s12933-023-01790-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Accepted: 03/04/2023] [Indexed: 03/23/2023] Open
Abstract
BACKGROUND It is now understood that stress hyperglycemia is associated with adverse outcomes in hospitalized patients. Herein, we aimed to investigate the association between stress hyperglycemia and mortality risk in acute coronary syndrome (ACS) patients who underwent percutaneous coronary intervention (PCI). METHODS This cohort study comprised 5190 ACS patients who underwent PCI from the Cardiovascular Center Beijing Friendship Hospital Database Bank (CBDBANK) from January 2013 to January 2021. Stress hyperglycemia was defined by the glucose/glycated albumin (GA) ratio, calculated as admission fasting plasma glucose divided by GA. The patients were divided into four groups according to glucose/GA ratio quartiles (Q1-Q4). Cox proportional hazards regression and restricted cubic spline were used to evaluate the association between glucose/GA ratio and all-cause and cardiovascular mortality. RESULTS During a median follow-up of 4.0 years, the number of all-cause deaths was 313 (6.0%) and cardiovascular-associated deaths was 177 (3.4%). After adjustment for potential confounders, the risk of all-cause mortality increased in the lowest (HR, 1.43; 95% CI, 1.01-2.03) and highest (HR, 1.51; 95% CI, 1.03-2.21) glucose/GA ratio quartiles compared to Q2. The restricted cubic splines showed that the association between glucose/GA ratio and all-cause mortality was U-shaped after full adjustment (P nonlinear = 0.008). Similar results were observed for cardiovascular mortality. In subgroup analyses according to diabetes status, the U-shaped relationship was only significant in patients with diabetes mellitus. CONCLUSION In ACS patients undergoing PCI, low and high glucose/GA ratio values were associated with an increased all-cause and cardiovascular mortality, especially in those with diabetes mellitus.
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Affiliation(s)
- Man Wang
- Department of Cardiology, Cardiovascular Center, Beijing Friendship Hospital, Capital Medical University, No.95, Yongan Road, Xicheng District, Beijing, 100050, People's Republic of China
| | - Wen Su
- Department of Cardiology, Cardiovascular Center, Beijing Friendship Hospital, Capital Medical University, No.95, Yongan Road, Xicheng District, Beijing, 100050, People's Republic of China
| | - Ning Cao
- Department of Cardiology, Cardiovascular Center, Beijing Friendship Hospital, Capital Medical University, No.95, Yongan Road, Xicheng District, Beijing, 100050, People's Republic of China
| | - Hui Chen
- Department of Cardiology, Cardiovascular Center, Beijing Friendship Hospital, Capital Medical University, No.95, Yongan Road, Xicheng District, Beijing, 100050, People's Republic of China.
| | - Hongwei Li
- Department of Cardiology, Cardiovascular Center, Beijing Friendship Hospital, Capital Medical University, No.95, Yongan Road, Xicheng District, Beijing, 100050, People's Republic of China.
- Beijing Key Laboratory of Metabolic Disorder Related Cardiovascular Disease, Beijing, China.
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Zhang Y, Song H, Bai J, Xiu J, Wu G, Zhang L, Wu Y, Qu Y. Association between the stress hyperglycemia ratio and severity of coronary artery disease under different glucose metabolic states. Cardiovasc Diabetol 2023; 22:29. [PMID: 36755256 PMCID: PMC9909934 DOI: 10.1186/s12933-023-01759-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Accepted: 02/01/2023] [Indexed: 02/10/2023] Open
Abstract
BACKGROUND Stress hyperglycemia ratio (SHR) is significantly related to adverse cardiovascular clinical outcomes and increased in-hospital mortality. However, the relationship between SHR and coronary artery disease (CAD) severity has hitherto not been reported. This study sought to clarify the relationship between the SHR and CAD severity of individuals with different glucose metabolic statuses. METHODS A retrospective analysis was performed on 987 patients who underwent coronary angiography (CAG) from October 2020 to May 2022. Based on CAG results, patients were divided into single-vessel CAD and multi-vessel CAD groups. All subjects were stratified into three groups according to the tertiles of the SHR (T1 group: SHR < 0.930; T2 group: 0.930 ≤ SHR < 1.154; T3 group: 1.154 ≤ SHR). Moreover, according to glucose metabolism status, study subjects were divided into normal glucose regulation (NGR), pre-diabetes mellitus (pre-DM) and diabetes mellitus (DM) groups. Finally, the correlation between SHR and CAD severity was analyzed by logistic regression analysis and receiver operating characteristic (ROC) curve. RESULTS The results showed significantly higher SHR in the multi-vessel CAD group than in the single-vessel group. Logistic regression analysis showed that SHR was an independent risk factor for multi-vessel CAD when used as a continuous variable (OR, 4.047; 95% CI 2.137-7.663; P < 0.001). After adjusting for risk factors, the risk of multi-vessel CAD in the T2 and T3 groups was 1.939-fold (95% CI 1.341-2.804; P < 0.001) and 1.860-fold (95% CI 1.272-2.719; P = 0.001) higher than in the T1 group, respectively. The area under the curve (AUC) of ROC plots was 0.613 for SHR. In addition, SHR was significantly correlated with an increased risk of multi-vessel CAD in the pre-DM and DM groups. CONCLUSIONS Our study indicated that SHR was significantly correlated with the risk of multi-vessel CAD and predicted CAD severity, especially in pre-DM and DM patients.
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Affiliation(s)
- Yu Zhang
- grid.412463.60000 0004 1762 6325Department of Endocrinology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Haiyan Song
- Department of Endocrinology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
| | - Jing Bai
- grid.412463.60000 0004 1762 6325Department of Endocrinology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Jiahui Xiu
- grid.412463.60000 0004 1762 6325Department of Endocrinology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Ganggang Wu
- grid.412463.60000 0004 1762 6325Department of Endocrinology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Liao Zhang
- grid.412463.60000 0004 1762 6325Department of Endocrinology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Yunhe Wu
- grid.412463.60000 0004 1762 6325Department of Endocrinology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Ying Qu
- grid.412463.60000 0004 1762 6325Department of Endocrinology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
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Mone P, Lombardi A, Salemme L, Cioppa A, Popusoi G, Varzideh F, Pansini A, Jankauskas SS, Forzano I, Avvisato R, Wang X, Tesorio T, Santulli G. Stress Hyperglycemia Drives the Risk of Hospitalization for Chest Pain in Patients With Ischemia and Nonobstructive Coronary Arteries (INOCA). Diabetes Care 2023; 46:450-454. [PMID: 36478189 PMCID: PMC9887616 DOI: 10.2337/dc22-0783] [Citation(s) in RCA: 23] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Accepted: 11/02/2022] [Indexed: 12/12/2022]
Abstract
OBJECTIVE Ischemia with nonobstructive coronary arteries (INOCA) is a prevailing finding in patients with angina. However, the main factors underlying the risk of being rehospitalized for chest pain in patients with INOCA remain mostly unknown. RESEARCH DESIGN AND METHODS We evaluated INOCA patients referred to the "Casa di Cura Montevergine" in Mercogliano (Avellino), Italy, from January 2016 to January 2021 for percutaneous coronary intervention (PCI). In these subjects, we assessed the impact of the stress hyperglycemia ratio (SHR), defined as the ratio of mmol/L blood glucose and % HbA1c, on the risk of rehospitalization for chest pain. RESULTS A total of 2,874 patients with INOCA successfully completed the study. At the 1-year follow-up, the risk of rehospitalization for chest pain was significantly higher (P < 0.001) in INOCA patients with SHR >1 compared to patients with SHR ≤1. These findings were confirmed by multivariable analyses (adjusting for potential confounders, including age, BMI, blood pressure, heart rate, chronic kidney disease, and cholesterol), propensity score matching, and inverse probability of treatment weighting. CONCLUSIONS Our data indicate, to our knowledge for the first time, that SHR on hospital admission significantly and independently increases the risk of rehospitalization for chest pain in INOCA patients.
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Affiliation(s)
- Pasquale Mone
- Department of Medicine, Division of Cardiology, Wilf Family Cardiovascular Research Institute, Einstein Institute for Aging Research, Albert Einstein College of Medicine, New York, NY
- Azienda Sanitaria Locale (ASL), Avellino, Italy
| | - Angela Lombardi
- Department of Medicine, Division of Endocrinology, Albert Einstein College of Medicine, New York, NY
| | - Luigi Salemme
- “Casa di Cura Montevergine,” Mercogliano (Avellino), Italy
| | - Angelo Cioppa
- “Casa di Cura Montevergine,” Mercogliano (Avellino), Italy
| | | | - Fahimeh Varzideh
- Department of Medicine, Division of Cardiology, Wilf Family Cardiovascular Research Institute, Einstein Institute for Aging Research, Albert Einstein College of Medicine, New York, NY
| | | | - Stanislovas S. Jankauskas
- Department of Medicine, Division of Cardiology, Wilf Family Cardiovascular Research Institute, Einstein Institute for Aging Research, Albert Einstein College of Medicine, New York, NY
| | - Imma Forzano
- University of Naples “Federico II,” Naples, Italy
| | - Roberta Avvisato
- Department of Medicine, Division of Cardiology, Wilf Family Cardiovascular Research Institute, Einstein Institute for Aging Research, Albert Einstein College of Medicine, New York, NY
| | - Xujun Wang
- Department of Medicine, Division of Cardiology, Wilf Family Cardiovascular Research Institute, Einstein Institute for Aging Research, Albert Einstein College of Medicine, New York, NY
| | - Tullio Tesorio
- “Casa di Cura Montevergine,” Mercogliano (Avellino), Italy
| | - Gaetano Santulli
- Department of Medicine, Division of Cardiology, Wilf Family Cardiovascular Research Institute, Einstein Institute for Aging Research, Albert Einstein College of Medicine, New York, NY
- University of Naples “Federico II,” Naples, Italy
- Department of Molecular Pharmacology, Fleischer Institute for Diabetes and Metabolism (FIDAM), Einstein—Mount Sinai Diabetes Research Center (ES-DRC), Einstein Institute for Neuroimmunology and Inflammation (INI), Albert Einstein College of Medicine, New York, NY
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Abdu FA, Galip J, Qi P, Zhang W, Mohammed AQ, Liu L, Yin G, Mohammed AA, Mareai RM, Jiang R, Xu Y, Che W. Association of stress hyperglycemia ratio and poor long-term prognosis in patients with myocardial infarction with non-obstructive coronary arteries. Cardiovasc Diabetol 2023; 22:11. [PMID: 36647062 PMCID: PMC9843969 DOI: 10.1186/s12933-023-01742-6] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Accepted: 01/10/2023] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND Stress hyperglycemia ratio (SHR) is a novel biomarker of true acute hyperglycemia condition and is associated with a worse prognosis in patients with myocardial infarction (MI). However, the effects of SHR in the setting of MI with non-obstructive coronary arteries (MINOCA) have not been investigated. This study aimed to explore the association between SHR and long-term clinical outcomes among MINOCA patients. METHODS A total of 410 MINOCA patients were included in the final analysis of this study. The patients were divided into three groups based on the SHR tertiles: [SHR1 group (SHR ≤ 0.73), (n = 143); SHR2 group (SHR 0.73-0.84), n = 131; and SHR3 group (SHR ≥ 0.84), n = 136]. Follow-up for major adverse cardiovascular events (MACE) was conducted on all patients. Cox regression and Kaplan-Meier curve analysis were used to evaluate the relationship between SHR and MACE. The receiver operating curve (ROC) analysis was applied to obtain the optimal cut-off value of SHR for predicting clinical MACE. RESULTS A total of 92 patients developed MACE during the mean 34 months of follow-up. A significant increase in MACE was observed in the SHR3 group compared to the SHR1 and SHR2 groups (35.3% vs. 15.4% and 16.8%, respectively; P < 0.001). The Kaplan-Meier curves demonstrate that SHR3 patients had the highest MACE risk compared to SHR1 and SHR2 patients (log-rank P < 0.001). In addition, when both SHR tertiles and diabetes status were considered, those with SHR3 and diabetes had the highest hazard of MACE (log-rank P < 0.001). Multivariate Cox regression analysis showed that the SHR3 is associated with a 2.465-fold increase in the risk of MACE (adjusted HR, 2.465; 95% CI 1.461-4.159, P = 0.001). The ROC curve analysis showed that the optimal SHR cut-off value for predicting clinical MACE among MINOCA was 0.86. CONCLUSION Our data indicates, for the first time, that SHR is independently associated with poor long-term prognosis in patients suffering from MINOCA. The optimal SHR cut-off value for predicting clinical MACE among MINOCA patients was 0.86. These findings suggest that SHR may play a potential role in the cardiovascular risk stratification of the MINOCA population.
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Affiliation(s)
- Fuad A. Abdu
- grid.24516.340000000123704535Department of Cardiology, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, 301 Yanchang Road, Shanghai, 200072 China
| | - Jassur Galip
- grid.24516.340000000123704535Department of Cardiology, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, 301 Yanchang Road, Shanghai, 200072 China
| | - Penglong Qi
- grid.24516.340000000123704535Department of Cardiology, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, 301 Yanchang Road, Shanghai, 200072 China
| | - Wen Zhang
- grid.24516.340000000123704535Department of Cardiology, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, 301 Yanchang Road, Shanghai, 200072 China
| | - Abdul-Quddus Mohammed
- grid.24516.340000000123704535Department of Cardiology, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, 301 Yanchang Road, Shanghai, 200072 China
| | - Lu Liu
- grid.24516.340000000123704535Department of Cardiology, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, 301 Yanchang Road, Shanghai, 200072 China
| | - Guoqing Yin
- grid.24516.340000000123704535Department of Cardiology, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, 301 Yanchang Road, Shanghai, 200072 China
| | - Ayman A. Mohammed
- grid.24516.340000000123704535Department of Cardiology, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, 301 Yanchang Road, Shanghai, 200072 China
| | - Redhwan M. Mareai
- grid.24516.340000000123704535Department of Cardiology, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, 301 Yanchang Road, Shanghai, 200072 China
| | - Rong Jiang
- grid.24516.340000000123704535Department of Cardiology, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, 301 Yanchang Road, Shanghai, 200072 China
| | - Yawei Xu
- Department of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Yanchang Road, Shanghai, 200072, China.
| | - Wenliang Che
- Department of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Yanchang Road, Shanghai, 200072, China. .,Department of Cardiology, Shanghai Tenth People's Hospital Chongming branch, Shanghai, China.
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49
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Chen Q, Su H, Yu X, Chen Y, Ding X, Xiong B, Wang C, Xia L, Ye T, Lan K, Hou J, Xiong S, Cai L. The stress hyperglycemia ratio improves the predictive ability of the GRACE score for in-hospital mortality in patients with acute myocardial infarction. Hellenic J Cardiol 2022; 70:36-45. [PMID: 36586422 DOI: 10.1016/j.hjc.2022.12.012] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Revised: 12/23/2022] [Accepted: 12/24/2022] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND The Global Registry of Acute Coronary Events (GRACE) score is a powerful tool used to predict in-hospital mortality after acute myocardial infarction (AMI) and does not include a glycometabolism-related index. We investigated whether the addition of the stress hyperglycemia ratio (SHR) provides incremental prognostic value in addition to the GRACE score. METHODS A retrospective cohort of 613 AMI patients was enrolled in the present analyses. The patients were stratified according to the primary endpoint (in-hospital mortality) and the tertiles of the SHR. RESULTS During hospitalization, 40 patients reached the primary endpoint, which was more frequently observed in patients with a higher SHR. The SHR, but not admission blood glucose (ABG), adjusted for the GRACE score independently predicted in-hospital mortality [odds ratio 2.5861; 95% confidence interval (CI), 1.3910-4.8080; P = 0.0027]. The adjustment of the GRACE score by the SHR improved the predictive ability for in-hospital death (an increase in the C-statistic value from 0.787 to 0.814; net reclassification improvement, 0.6717, 95% CI 0.3665-0.977, P < 0.01; integrated discrimination improvement, 0.028, 95% CI 0.0066-0.0493, P = 0.01028). The likelihood ratio test showed that the SHR significantly improved the prognostic models, including the GRACE score. Adding the SHR to the GRACE score presented a larger net benefit across the range of in-hospital mortality risk than the GRACE score alone. CONCLUSION The SHR, but not the ABG, is an independent predictor of in-hospital mortality after AMI even after adjusting for the GRACE score. The SHR improves the predictability and clinical usefulness of prognostic models containing the GRACE score.
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Affiliation(s)
- Qiang Chen
- From Department of Cardiology, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu Cardiovascular Disease Research Institute, Chengdu 610014, Sichuan, China
| | - Hong Su
- From Department of Cardiology, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu Cardiovascular Disease Research Institute, Chengdu 610014, Sichuan, China
| | - Xiuqiong Yu
- From Department of Cardiology, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu Cardiovascular Disease Research Institute, Chengdu 610014, Sichuan, China
| | - Yingzhong Chen
- From Department of Cardiology, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu Cardiovascular Disease Research Institute, Chengdu 610014, Sichuan, China
| | - Xunshi Ding
- From Department of Cardiology, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu Cardiovascular Disease Research Institute, Chengdu 610014, Sichuan, China
| | - Bo Xiong
- From Department of Cardiology, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu Cardiovascular Disease Research Institute, Chengdu 610014, Sichuan, China
| | - Chunbin Wang
- From Department of Cardiology, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu Cardiovascular Disease Research Institute, Chengdu 610014, Sichuan, China
| | - Long Xia
- From Department of Cardiology, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu Cardiovascular Disease Research Institute, Chengdu 610014, Sichuan, China
| | - Tao Ye
- From Department of Cardiology, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu Cardiovascular Disease Research Institute, Chengdu 610014, Sichuan, China
| | - Kai Lan
- From Department of Cardiology, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu Cardiovascular Disease Research Institute, Chengdu 610014, Sichuan, China
| | - Jun Hou
- From Department of Cardiology, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu Cardiovascular Disease Research Institute, Chengdu 610014, Sichuan, China
| | - Shiqiang Xiong
- From Department of Cardiology, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu Cardiovascular Disease Research Institute, Chengdu 610014, Sichuan, China.
| | - Lin Cai
- From Department of Cardiology, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu Cardiovascular Disease Research Institute, Chengdu 610014, Sichuan, China.
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50
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Zhou Y, Liu L, Huang H, Li N, He J, Yao H, Tang X, Chen X, Zhang S, Shi Q, Qu F, Wang S, Wang M, Shu C, Zeng Y, Tian H, Zhu Y, Su B, Li S. 'Stress hyperglycemia ratio and in-hospital prognosis in non-surgical patients with heart failure and type 2 diabetes. Cardiovasc Diabetol 2022; 21:290. [PMID: 36572923 PMCID: PMC9791974 DOI: 10.1186/s12933-022-01728-w] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Accepted: 12/15/2022] [Indexed: 12/27/2022] Open
Abstract
OBJECTIVE To evaluate the impact of stress hyperglycemia on the in-hospital prognosis in non-surgical patients with heart failure and type 2 diabetes. RESEARCH DESIGN AND METHODS We identified non-surgical hospitalized patients with heart failure and type 2 diabetes from a large electronic medical record-based database of diabetes in China (WECODe) from 2011 to 2019. We estimated stress hyperglycemia using the stress hyperglycemia ratio (SHR) and its equation, say admission blood glucose/[(28.7 × HbA1c)- 46.7]. The primary outcomes included the composite cardiac events (combination of death during hospitalization, requiring cardiopulmonary resuscitation, cardiogenic shock, and the new episode of acute heart failure during hospitalization), major acute kidney injury (AKI stage 2 or 3), and major systemic infection. RESULTS Of 2875 eligible Chinese adults, SHR showed U-shaped associations with composite cardiac events, major AKI, and major systemic infection. People with SHR in the third tertile (vs those with SHR in the second tertile) presented higher risks of composite cardiac events ([odds ratio, 95% confidence interval] 1.89, 1.26 to 2.87) and major AKI (1.86, 1.01 to 3.54). In patients with impaired kidney function at baseline, both SHR in the first and third tertiles anticipated higher risks of major AKI and major systemic infection. CONCLUSIONS Both high and low SHR indicates poor prognosis during hospitalization in non-surgical patients with heart failure and type 2 diabetes.
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Affiliation(s)
- Yiling Zhou
- grid.13291.380000 0001 0807 1581 Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, 610041 China
| | - Li Liu
- Department of Endocrinology and Metabolism, Second People’s Hospital of Ya’an City, Ya’an, 625000 China
| | - Hongmei Huang
- Department of Endocrinology and Metabolism, The First People’s Hospital of Shuangliu District, Chengdu, 610200 China
| | - Nan Li
- grid.13291.380000 0001 0807 1581The Informatic Center, West China Hospital, Sichuan University, Chengdu, 610041 China
| | - Jidong He
- Department of Endocrinology and Metabolism, Second People’s Hospital of Ya’an City, Ya’an, 625000 China
| | - Heling Yao
- Department of Endocrinology and Metabolism, Second People’s Hospital of Ya’an City, Ya’an, 625000 China
| | - Xiaochi Tang
- Department of Endocrinology and Metabolism, The First People’s Hospital of Shuangliu District, Chengdu, 610200 China
| | - Xiangyang Chen
- grid.13291.380000 0001 0807 1581 Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, 610041 China ,Department of Endocrinology and Metabolism, The First People’s Hospital of Shuangliu District, Chengdu, 610200 China
| | - Shengzhao Zhang
- grid.459690.7Department of Pharmacy, Karamay Central Hospital, Karamay, 834000 China ,grid.13291.380000 0001 0807 1581Department of Pharmacy, West China Hospital, Sichuan University, Chengdu, 610041 China
| | - Qingyang Shi
- grid.13291.380000 0001 0807 1581Chinese Evidence-Based Medicine Center, Cochrane China Center and MAGIC China Center, West China Hospital, Sichuan University, Chengdu, 610041 China
| | - Furong Qu
- grid.13291.380000 0001 0807 1581 Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, 610041 China ,grid.13291.380000 0001 0807 1581Department of General Practice, West China Hospital, Sichuan University, Chengdu, 610041 China
| | - Si Wang
- grid.13291.380000 0001 0807 1581Department of Cardiology, West China Hospital, Sichuan University, Chengdu, 610041 China
| | - Miye Wang
- grid.13291.380000 0001 0807 1581The Informatic Center, West China Hospital, Sichuan University, Chengdu, 610041 China
| | - Chi Shu
- grid.13291.380000 0001 0807 1581Department of Vascular Surgery, West China Hospital, Sichuan University, Chengdu, 610041 China
| | - Yuping Zeng
- grid.13291.380000 0001 0807 1581Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041 China
| | - Haoming Tian
- grid.13291.380000 0001 0807 1581 Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, 610041 China
| | - Ye Zhu
- grid.13291.380000 0001 0807 1581Department of Cardiology, West China Hospital, Sichuan University, Chengdu, 610041 China
| | - Baihai Su
- grid.13291.380000 0001 0807 1581Department of Nephrology, West China Hospital, Sichuan University, Chengdu, 610041 China
| | - Sheyu Li
- grid.13291.380000 0001 0807 1581 Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, 610041 China ,grid.13291.380000 0001 0807 1581Chinese Evidence-Based Medicine Center, Cochrane China Center and MAGIC China Center, West China Hospital, Sichuan University, Chengdu, 610041 China
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