1
|
Vasa D, Rossitto CP, Ezzat B, Bazil M, Schuldt B, Johnson B, Ali M, Mocco J, Kellner CP. Stress hyperglycemia is associated with longer ICU length of stay after endoscopic intracerebral hemorrhage evacuation. J Stroke Cerebrovasc Dis 2024; 33:107911. [PMID: 39097120 DOI: 10.1016/j.jstrokecerebrovasdis.2024.107911] [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: 03/03/2024] [Revised: 07/15/2024] [Accepted: 07/31/2024] [Indexed: 08/05/2024] Open
Abstract
BACKGROUND Stress hyperglycemia has been linked to poor outcomes in intracerebral hemorrhage (ICH). Recent studies using the ratio of blood glucose to glycated hemoglobin (HbA1c) as a marker for stress hyperglycemia have demonstrated greater discriminative power in predicting poor outcomes for stroke inpatients compared to blood glucose alone. Therefore, we aimed to investigate whether the preoperative glucose-to-HbA1c ratio is a predictor of postoperative outcomes in patients who have undergone minimally invasive ICH evacuation. METHODS Retrospective chart review was performed on ICH patients treated with minimally invasive surgery (MIS) in a single health system from 2015 to 2022. Stress hyperglycemia was defined as preoperative glucose-to-HbA1c ratio > calculated-median. Postoperative outcomes including modified Rankin Score (mRS) and length of stay (LOS) were collected. Univariate analyses were conducted to determine associations. Variables with p<0.05 were included in multivariate analyses. RESULTS Of 192 patients who underwent minimally invasive ICH evacuation and had available glucose data, 96 demonstrated stress hyperglycemia (glucose-to-HbA1c ratio > 1.23). Patients with stress hyperglycemia were more likely to have a history of diabetes (43 % vs. 27 %, p=0.034), IVH (54 % vs. 33 %, p=0.007), higher preoperative hematoma volumes (46.8 ml vs. 38.6 mL, p=0.02), higher postoperative hematoma volumes (6 ml vs. 2.9 mL, p=0.008), smaller evacuation percentages (86.7 % vs. 92.7 %, p=0.048), longer procedure lengths (2.78 hrs vs. 2.23 hrs, p=0.015), and prolonged ICU LOS (9.44 days vs. 5.68 days, p=0.003). In a multivariate analysis, stress hyperglycemia remained predictive of prolonged ICU LOS (OR=2.44; p=0.026) when controlling for initial NIHSS, IVH, time to evacuation, procedure time, and diabetes. CONCLUSIONS Stress hyperglycemia was strongly associated with prolonged ICU LOS after MIS for ICH. Understanding factors associated with LOS may provide predictive value for a patient's hospital course after minimally invasive ICH evacuation and further guide clinician expectations of recovery.
Collapse
Affiliation(s)
- Devarshi Vasa
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, Devarshi Vasa, 1 Gustave L. Levy Pl, New York, NY 10029, United States.
| | - Christina P Rossitto
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, Devarshi Vasa, 1 Gustave L. Levy Pl, New York, NY 10029, United States
| | - Bahie Ezzat
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, Devarshi Vasa, 1 Gustave L. Levy Pl, New York, NY 10029, United States
| | - Maximilian Bazil
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, Devarshi Vasa, 1 Gustave L. Levy Pl, New York, NY 10029, United States
| | - Braxton Schuldt
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, Devarshi Vasa, 1 Gustave L. Levy Pl, New York, NY 10029, United States
| | - Brian Johnson
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, Devarshi Vasa, 1 Gustave L. Levy Pl, New York, NY 10029, United States
| | - Muhammad Ali
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, Devarshi Vasa, 1 Gustave L. Levy Pl, New York, NY 10029, United States
| | - J Mocco
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, Devarshi Vasa, 1 Gustave L. Levy Pl, New York, NY 10029, United States
| | - Christopher P Kellner
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, Devarshi Vasa, 1 Gustave L. Levy Pl, New York, NY 10029, United States
| |
Collapse
|
2
|
Ai M, Zhang H, Feng J, Chen H, Liu D, Li C, Yu F, Li C. Research advances in predicting the expansion of hypertensive intracerebral hemorrhage based on CT images: an overview. PeerJ 2024; 12:e17556. [PMID: 38860211 PMCID: PMC11164062 DOI: 10.7717/peerj.17556] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Accepted: 05/21/2024] [Indexed: 06/12/2024] Open
Abstract
Hematoma expansion (HE) is an important risk factor for death or poor prognosis in patients with hypertensive intracerebral hemorrhage (HICH). Accurately predicting the risk of HE in patients with HICH is of great clinical significance for timely intervention and improving patient prognosis. Many imaging signs reported in literatures showed the important clinical value for predicting HE. In recent years, the development of radiomics and artificial intelligence has provided new methods for HE prediction with high accuracy. Therefore, this article reviews the latest research progress in CT imaging, radiomics, and artificial intelligence of HE, in order to help identify high-risk patients for HE in clinical practice.
Collapse
Affiliation(s)
- Min Ai
- Department of Anesthesiology, Nanan District People’s Hospital of Chongqing, Chongqing, China
| | - Hanghang Zhang
- Department of Breast and Thyroid Surgery, Chongqing Bishan District Maternal and Child Health Care Hospital, Chongqing, China
| | - Junbang Feng
- Medical Imaging Department, Chongqing University Central Hospital (Chongqing Emergency Medical Center), Chongqing, China
| | - Hongying Chen
- Medical Imaging Department, Chongqing University Central Hospital (Chongqing Emergency Medical Center), Chongqing, China
| | - Di Liu
- Department of Anesthesiology, Nanan District People’s Hospital of Chongqing, Chongqing, China
| | - Chang Li
- Medical Imaging Department, Chongqing University Central Hospital (Chongqing Emergency Medical Center), Chongqing, China
| | - Fei Yu
- Medical Imaging Department, Chongqing University Central Hospital (Chongqing Emergency Medical Center), Chongqing, China
| | - Chuanming Li
- Medical Imaging Department, Chongqing University Central Hospital (Chongqing Emergency Medical Center), Chongqing, China
| |
Collapse
|
3
|
Zhang J, Zhang Q, Gu H, Zhou Q, Li Z, Zhao X. Comparison of stress hyperglycemia ratio and glycemic gap on acute ICH in-hospital outcomes. Ann Clin Transl Neurol 2024; 11:1492-1501. [PMID: 38590111 PMCID: PMC11187964 DOI: 10.1002/acn3.52063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 02/28/2024] [Accepted: 03/30/2024] [Indexed: 04/10/2024] Open
Abstract
OBJECTIVE To compare the effect of different indicators on stress-induced hyperglycemia for predicting in-hospital outcomes of acute intracerebral hemorrhage. METHODS Using data from the Chinese Stroke Center Alliance database, which is a national, multicenter, prospective, and consecutive program. Stress-induced hyperglycemia was described as glycemic gap (GG, defined as fasting blood glucose [FBG] minus estimated average blood glucose) and stress hyperglycemia ratio (SHR, defined as FBG-to-estimated average blood glucose ratio [SHR 1] or FBG-to-HbA1c ratio [SHR 2]). The primary outcome was in-hospital mortality, and the second outcome was hematoma expansion. RESULTS A total of 71,333 patients with acute intracerebral hemorrhage were included. In multivariate analyses, the highest levels of GG (OR 1.68, 95% CI 1.12-2.51), SHR 1 (OR 1.73, 95% CI 1.15-2.60), and SHR 2 (OR 2.07, 95% CI 1.33-3.23) were associated with in-hospital death (all the p trends <0.01). Only the highest level of SHR 2 (OR 1.24 [1.02-1.51], p trend >0.05) was related to hematoma expansion. No association between GG or SHR 1 and hematoma expansion was observed. The areas under the ROC curve of GG, SHR 1, and SHR 2 for in-hospital mortality were 0.8808 (95% CI 0.8603-0.9014), 0.8796 (95% CI 0.8589-0.9002), and 0.8806 (95% CI 0.8600-0.9012). The areas under the ROC curve of SHR 2 for hematoma expansion were 0.7133 (95% CI 0.6964-0.7302). INTERPRETATION SHR (FBG-to-HbA1c ratio) was associated with both in-hospital death and hematoma expansion in intracerebral hemorrhage, and might serve as an accessory indicator for the in-hospital prognosis of intracerebral hemorrhage.
Collapse
Affiliation(s)
- Jia Zhang
- Department of Neurology, Beijing Tiantan HospitalCapital Medical UniversityBeijing100070China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan HospitalCapital Medical UniversityBeijing100070China
| | - Qian Zhang
- Department of Neurology, Beijing Tiantan HospitalCapital Medical UniversityBeijing100070China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan HospitalCapital Medical UniversityBeijing100070China
| | - Hongqiu Gu
- Department of Neurology, Beijing Tiantan HospitalCapital Medical UniversityBeijing100070China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan HospitalCapital Medical UniversityBeijing100070China
| | - Qi Zhou
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan HospitalCapital Medical UniversityBeijing100070China
| | - Zixiao Li
- Department of Neurology, Beijing Tiantan HospitalCapital Medical UniversityBeijing100070China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan HospitalCapital Medical UniversityBeijing100070China
| | - Xingquan Zhao
- Department of Neurology, Beijing Tiantan HospitalCapital Medical UniversityBeijing100070China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan HospitalCapital Medical UniversityBeijing100070China
- Research Unit of Artificial Intelligence in Cerebrovascular DiseaseChinese Academy of Medical SciencesBeijing100070China
- Center of Stroke, Beijing Institute of Brain DisordersCapital Medical UniversityBeijing100070China
| |
Collapse
|
4
|
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.
Collapse
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.
| |
Collapse
|
5
|
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.
Collapse
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.
| |
Collapse
|
6
|
Shen D, Cai X, Zhu Q, Heizhati M, Hu J, Song S, Yang W, Hong J, Li N. Increased stress hyperglycemia ratio at hospital admission in stroke patients are associated with increased in-hospital mortality and length of stay. Diabetol Metab Syndr 2024; 16:69. [PMID: 38491539 PMCID: PMC10943784 DOI: 10.1186/s13098-024-01303-1] [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: 11/22/2023] [Accepted: 03/04/2024] [Indexed: 03/18/2024] Open
Abstract
OBJECTIVE Recently, the stress hyperglycemia ratio (SHR) has been introduced as a metric to signify relative hyperglycemia. This study aimed to investigate the relationship between SHR and in-hospital mortality and length of stay occurring during hospitalization in stroke patients. METHODS The retrospective cohort study comprised a total of 4,018 patients diagnosed with acute stroke. The SHR is expressed by the formula: SHR = ABG (mmol/L) / [1.59 × HbA1c (%) - 2.59]. Outcomes included in-hospital mortality and length of stay. Multivariable logistic and linear regression analyses were conducted. Receiver operating characteristic (ROC) analysis was performed to distinguish between the variables, and the area under the ROC curve (AUC) was compared. RESULTS In this analysis, a total of 4,018 individuals participated, including 2,814 male patients, accounting for 70.0%. Overall, in-hospital mortality and length of stay tended to rise as SHR increased. A higher prevalence of in-hospital mortality was observed with each standard deviation (SD) increase of the SHR (odds ratio [OR]: 1.26, 95% confidence interval [CI]: 1.05-1.52). Moreover, after considering the confounders, a significant positive association between SHR levels and length of stay was observed (β = 0.70, 95% CI: 0.40-1.00). ROC analysis showed that among stroke patients, SHR (AUC = 0.693) was more effective than admission blood glucose (ABG) (AUC = 0.646) and glycosylated hemoglobin (HbA1c) (AUC = 0.523), which were more predictive of in-hospital mortality. CONCLUSIONS Elevated SHR levels are associated with increased in-hospital mortality and prolonged length of stay in stroke patients.
Collapse
Affiliation(s)
- Di Shen
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, Urumqi, Xinjiang, 830001, People's Republic of China
- NHC Key Laboratory of Hypertension Clinical Research, Urumqi, Xinjiang, 830001, People's Republic of China
- Key Laboratory of Xinjiang Uygur Autonomous Region "Hypertension Research Laboratory", Urumqi, Xinjiang, 830001, People's Republic of China
- Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, 830001, People's Republic of China
| | - Xintian Cai
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, Urumqi, Xinjiang, 830001, People's Republic of China
- NHC Key Laboratory of Hypertension Clinical Research, Urumqi, Xinjiang, 830001, People's Republic of China
- Key Laboratory of Xinjiang Uygur Autonomous Region "Hypertension Research Laboratory", Urumqi, Xinjiang, 830001, People's Republic of China
- Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, 830001, People's Republic of China
| | - Qing Zhu
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, Urumqi, Xinjiang, 830001, People's Republic of China
- NHC Key Laboratory of Hypertension Clinical Research, Urumqi, Xinjiang, 830001, People's Republic of China
- Key Laboratory of Xinjiang Uygur Autonomous Region "Hypertension Research Laboratory", Urumqi, Xinjiang, 830001, People's Republic of China
- Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, 830001, People's Republic of China
| | - Mulalibieke Heizhati
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, Urumqi, Xinjiang, 830001, People's Republic of China
- NHC Key Laboratory of Hypertension Clinical Research, Urumqi, Xinjiang, 830001, People's Republic of China
- Key Laboratory of Xinjiang Uygur Autonomous Region "Hypertension Research Laboratory", Urumqi, Xinjiang, 830001, People's Republic of China
- Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, 830001, People's Republic of China
| | - Junli Hu
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, Urumqi, Xinjiang, 830001, People's Republic of China
- NHC Key Laboratory of Hypertension Clinical Research, Urumqi, Xinjiang, 830001, People's Republic of China
- Key Laboratory of Xinjiang Uygur Autonomous Region "Hypertension Research Laboratory", Urumqi, Xinjiang, 830001, People's Republic of China
- Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, 830001, People's Republic of China
| | - Shuaiwei Song
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, Urumqi, Xinjiang, 830001, People's Republic of China
- NHC Key Laboratory of Hypertension Clinical Research, Urumqi, Xinjiang, 830001, People's Republic of China
- Key Laboratory of Xinjiang Uygur Autonomous Region "Hypertension Research Laboratory", Urumqi, Xinjiang, 830001, People's Republic of China
- Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, 830001, People's Republic of China
| | - Wenbo Yang
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, Urumqi, Xinjiang, 830001, People's Republic of China
- NHC Key Laboratory of Hypertension Clinical Research, Urumqi, Xinjiang, 830001, People's Republic of China
- Key Laboratory of Xinjiang Uygur Autonomous Region "Hypertension Research Laboratory", Urumqi, Xinjiang, 830001, People's Republic of China
- Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, 830001, People's Republic of China
| | - Jing Hong
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, Urumqi, Xinjiang, 830001, People's Republic of China
- NHC Key Laboratory of Hypertension Clinical Research, Urumqi, Xinjiang, 830001, People's Republic of China
- Key Laboratory of Xinjiang Uygur Autonomous Region "Hypertension Research Laboratory", Urumqi, Xinjiang, 830001, People's Republic of China
- Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, 830001, People's Republic of China
| | - Nanfang Li
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, Urumqi, Xinjiang, 830001, People's Republic of China.
- NHC Key Laboratory of Hypertension Clinical Research, Urumqi, Xinjiang, 830001, People's Republic of China.
- Key Laboratory of Xinjiang Uygur Autonomous Region "Hypertension Research Laboratory", Urumqi, Xinjiang, 830001, People's Republic of China.
- Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, 830001, People's Republic of China.
| |
Collapse
|
7
|
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.
Collapse
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.
| |
Collapse
|
8
|
Kang K, Shi K, Liu J, Li N, Wu J, Zhao X. Autonomic dysfunction and treatment strategies in intracerebral hemorrhage. CNS Neurosci Ther 2024; 30:e14544. [PMID: 38372446 PMCID: PMC10875714 DOI: 10.1111/cns.14544] [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: 08/09/2023] [Revised: 10/15/2023] [Accepted: 11/17/2023] [Indexed: 02/20/2024] Open
Abstract
AIMS Autonomic dysfunction with central autonomic network (CAN) damage occurs frequently after intracerebral hemorrhage (ICH) and contributes to a series of adverse outcomes. This review aims to provide insight and convenience for future clinical practice and research on autonomic dysfunction in ICH patients. DISCUSSION We summarize the autonomic dysfunction in ICH from the aspects of potential mechanisms, clinical significance, assessment, and treatment strategies. The CAN structures mainly include insular cortex, anterior cingulate cortex, amygdala, hypothalamus, nucleus of the solitary tract, ventrolateral medulla, dorsal motor nucleus of the vagus, nucleus ambiguus, parabrachial nucleus, and periaqueductal gray. Autonomic dysfunction after ICH is closely associated with neurological functional outcomes, cardiac complications, blood pressure fluctuation, immunosuppression and infection, thermoregulatory dysfunction, hyperglycemia, digestive dysfunction, and urogenital disturbances. Heart rate variability, baroreflex sensitivity, skin sympathetic nerve activity, sympathetic skin response, and plasma catecholamine concentration can be used to assess the autonomic functional activities after ICH. Risk stratification of patients according to autonomic functional activities, and development of intervention approaches based on the restoration of sympathetic-parasympathetic balance, would potentially improve clinical outcomes in ICH patients. CONCLUSION The review systematically summarizes the evidence of autonomic dysfunction and its association with clinical outcomes in ICH patients, proposing that targeting autonomic dysfunction could be potentially investigated to improve the clinical outcomes.
Collapse
Affiliation(s)
- Kaijiang Kang
- Department of NeurologyBeijing Tiantan HospitalCapital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
- Center of StrokeBeijing Institute for Brain DisordersBeijingChina
| | - Kaibin Shi
- Department of NeurologyBeijing Tiantan HospitalCapital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
- Center of StrokeBeijing Institute for Brain DisordersBeijingChina
| | - Jiexin Liu
- Department of NeurologyBeijing Tiantan HospitalCapital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
- Center of StrokeBeijing Institute for Brain DisordersBeijingChina
| | - Na Li
- Department of NeurologyBeijing Tiantan HospitalCapital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
- Center of StrokeBeijing Institute for Brain DisordersBeijingChina
| | - Jianwei Wu
- Department of NeurologyBeijing Tiantan HospitalCapital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
- Center of StrokeBeijing Institute for Brain DisordersBeijingChina
| | - Xingquan Zhao
- Department of NeurologyBeijing Tiantan HospitalCapital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
- Center of StrokeBeijing Institute for Brain DisordersBeijingChina
- Research Unit of Artificial Intelligence in Cerebrovascular DiseaseChinese Academy of Medical SciencesBeijingChina
| |
Collapse
|
9
|
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.
Collapse
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
| |
Collapse
|
10
|
Lee SH, Sohn JH, Kim C, Kim YJ, Jeon JP, Yang J, Park SY, Choi HJ. Pre-stroke glycemic variability estimated by glycated albumin predicts hematoma expansion and poor outcomes in patients with spontaneous intracerebral hemorrhage. Sci Rep 2023; 13:12848. [PMID: 37553363 PMCID: PMC10409739 DOI: 10.1038/s41598-023-40109-5] [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: 02/07/2023] [Accepted: 08/04/2023] [Indexed: 08/10/2023] Open
Abstract
Glycemic variability has been shown to be correlated more with oxidative stress than chronic hyperglycemia. We evaluated the impact of pre-stroke glycemic variability measured using glycated albumin (GA) on hematoma expansion and clinical outcomes following spontaneous intracerebral hemorrhage (ICH). We consecutively enrolled 343 patients with ICH for 72 months using a single-center registry database. The primary outcome measure was hematoma expansion. The secondary outcome measures were early neurological deterioration (END), 1-month mortality, and 3-month poor functional outcomes (modified Rankin scale score of 4-6). The patients were divided into two groups based on pre-stroke glycemic variability: a higher GA group (GA ≥ 16.0%) and a lower GA group (GA < 16.0%). During the study period, there were 63 (18.4%) events of hematoma expansion, 61 (17.8%) of END, 45 (13.1%) of 1-month mortality, and 45 (13.1%) of 3-month poor functional outcomes after ICH. The higher GA group (36.4%) had higher rates of hematoma expansion, END, 1-month mortality, and 3-month poor functional outcomes than the lower GA group. Multivariate analysis showed that a higher GA level was significantly associated with increased hematoma expansion (adjusted odds ratio 5.83; 95% confidence interval [CI] 2.58-13.19, p < 0.001). The area under the receiver operating characteristic curve of GA (0.83; 95% CI 0.48-0.65) for predicting hematoma expansion was higher than that of glycated hemoglobin (0.57; 95% CI 0.48-0.65, p for DeLong's pairwise comparison < 0.001). Higher GA levels could be a reliable marker for predicting hematoma expansion and poor outcomes following ICH.
Collapse
Affiliation(s)
- Sang-Hwa Lee
- Department of Neurology, Hallym University Chuncheon Sacred Heart Hospital, Chuncheon, South Korea
- Institute of New Frontier Research Team, Hallym University, Chuncheon, South Korea
| | - Jong-Hee Sohn
- Department of Neurology, Hallym University Chuncheon Sacred Heart Hospital, Chuncheon, South Korea
- Institute of New Frontier Research Team, Hallym University, Chuncheon, South Korea
| | - Chulho Kim
- Department of Neurology, Hallym University Chuncheon Sacred Heart Hospital, Chuncheon, South Korea
- Institute of New Frontier Research Team, Hallym University, Chuncheon, South Korea
| | - Yeo Jin Kim
- Department of Neurology, Kangdong Sacred Heart Hospital, Seoul, South Korea
| | - Jin Pyeong Jeon
- Department of Neurosurgery, Hallym University Chuncheon Sacred Heart Hospital, Chuncheon, South Korea
- Institute of New Frontier Research Team, Hallym University, Chuncheon, South Korea
| | - Jinseo Yang
- Department of Neurosurgery, Hallym University Chuncheon Sacred Heart Hospital, Chuncheon, South Korea
| | - So Young Park
- Department of Endocrinology and Metabolism, Kyung Hee University Hospital, Seoul, South Korea
| | - Hyuk Jai Choi
- Department of Neurosurgery, Hallym University Chuncheon Sacred Heart Hospital, Chuncheon, South Korea.
| |
Collapse
|
11
|
Chu H, Li L, Qiu B, Tang Y. Editorial: Outcomes of stroke: prediction and improvement. Front Neurol 2023; 14:1256253. [PMID: 37560449 PMCID: PMC10407940 DOI: 10.3389/fneur.2023.1256253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Accepted: 07/14/2023] [Indexed: 08/11/2023] Open
Affiliation(s)
- Heling Chu
- Department of Gerontology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Longxuan Li
- Department of Neurology, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Bin Qiu
- School of Medicine, Yale University, New Haven, CT, United States
| | - Yuping Tang
- Department of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| |
Collapse
|
12
|
Liu H, Yao Y, Zhang K, Zong C, Yang H, Li S, Wang X, Liu K, Song B, Xu Y, Gao Y. Stress hyperglycemia predicts early neurological deterioration and poor outcomes in patients with single subcortical infarct. Diabetes Res Clin Pract 2023; 200:110689. [PMID: 37121312 DOI: 10.1016/j.diabres.2023.110689] [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: 03/14/2023] [Revised: 04/15/2023] [Accepted: 04/21/2023] [Indexed: 05/02/2023]
Abstract
AIM The goal of this study was to determine whether the stress hyperglycemia ratio (SHR) is associated with early neurological deterioration (END) and poor outcomes in patients with single subcortical infarct (SSI). METHODS For this study, we prospectively enrolled patients with SSI admitted between 2015 and 2021. SHR was distributed in quartiles according to the size of each subgroup. END was defined as an increase of ≥ 2 total points in the National Institutes of Health Stroke Scale (NIHSS) or ≥ 1 point in the motor items of the NIHSS within 7 days of hospital admission. The modified Rankin Scale (mRS) was used to evaluate patient prognosis. Good and poor outcomes were defined as mRS scores ≤ 2 and > 2, respectively. The relationships between SHR and risk of END as well as outcomes were analyzed using multivariate logistic regression models. RESULTS A total of 1049 patients with SSI with an average age of 59.49 years met the inclusion criteria for the analysis. The incidence of END markedly increased with increasing SHR. Multivariate logistic regression analysis revealed that the highest SHR quartile was independently associated with an increased risk of both END (OR 4.04, 95% CI, 2.43-6.69, P < 0.001) and 3-month poor outcomes (OR 2.34, 95% CI, 1.44-3.82, P = 0.001), compared to the lowest quartile. A receiver operating characteristic curve analysis of the SHR based on the area under the curve showed a diagnostic accuracy equal or greater than fasting plasma glucose . CONCLUSION SHR is a reliable predictor of END and poor outcomes in patients with SSI.
Collapse
Affiliation(s)
- Hongbing Liu
- Department of Neurology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China
| | - Ying Yao
- the School of Nursing and Health of Zhengzhou University, Zhengzhou, Henan Province, China
| | - Ke Zhang
- Department of Neurology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China
| | - Ce Zong
- Department of Neurology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China
| | - Hongxun Yang
- Department of Neurology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China
| | - Shen Li
- Department of Neurology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China
| | - Xin Wang
- Department of Neurology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China
| | - Kai Liu
- Department of Neurology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China
| | - Bo Song
- Department of Neurology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China
| | - Yuming Xu
- Department of Neurology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China.
| | - Yuan Gao
- Department of Neurology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China.
| |
Collapse
|
13
|
Zhao Y, Yang J, Chen J, Yang X, Zhang W, Lv N, Tan H, Tang YD. Impact of the Stress Hyperglycemia Ratio on In-Hospital and Long-Term Poor Prognosis in Patients with Acute Myocarditis. Rev Cardiovasc Med 2023; 24:103. [PMID: 39076259 PMCID: PMC11273025 DOI: 10.31083/j.rcm2404103] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2022] [Revised: 12/02/2022] [Accepted: 12/13/2022] [Indexed: 07/31/2024] Open
Abstract
Background Few studies have focused on the impact of stress hyperglycemia on adverse outcomes in patients with acute myocarditis. We conducted the present study to assess the association between the stress hyperglycemia ratio (SHR) and poor prognosis in patients with acute myocarditis. Methods From 2006 to 2020, 185 patients with acute myocarditis were enrolled. The SHR was defined as glucose at admission divided by estimated average glucose ([(1.59 × HbA1c %) - 2.59], glycated hemoglobin [HbA1c]). Participants were divided into two groups according to their SHR values. The primary endpoint was defined as in-hospital major adverse cardiovascular events (MACE), including death, heart transplantation, the need for mechanical circulatory support (MCS), and transfer to the intensive care unit (ICU). The secondary endpoint was defined as long-term MACE. Results Subjects in the higher SHR group had more serious conditions, including lower systolic blood pressure, higher heart rate, higher white blood cell count, higher levels of alanine transaminase, troponin I, and C-reactive protein, and worse cardiac function. Multivariate logistic analysis showed that SHR > 1.12 (hazard ratio (HR): 3.946, 95% confidence interval (CI): 1.098-14.182; p = 0.035) was independently associated with in-hospital MACE in patients with acute myocarditis. Kaplan-Meier survival analysis and multivariate Cox analysis suggested that an SHR > 1.39 (HR: 1.931, 95% CI: 0.323-2.682; p = 0.895) was not significantly associated with long-term prognosis. Conclusions SHR was independently associated with in-hospital adverse outcomes in patients with acute myocarditis but not with long-term prognosis.
Collapse
Affiliation(s)
- Yan Zhao
- State Key Laboratory of Cardiovascular Disease, Department of Special Care Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 100037 Beijing, China
| | - Jie Yang
- 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, 100037 Beijing, China
| | - Jing Chen
- 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, 100037 Beijing, China
| | - Xu Yang
- State Key Laboratory of Cardiovascular Disease, Department of Special Care Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 100037 Beijing, China
| | - Wei Zhang
- State Key Laboratory of Cardiovascular Disease, Department of Special Care Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 100037 Beijing, China
| | - Naqiang Lv
- State Key Laboratory of Cardiovascular Disease, Department of Special Care Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 100037 Beijing, China
| | - Huiqiong Tan
- Emergency and Critical Care Center, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 100037 Beijing, China
| | - Yi-Da Tang
- Department of Cardiology and Institute of Vascular Medicine, Peking University Third Hospital, Key Laboratory of Molecular Cardiovascular Science, Ministry of Education, 100191 Beijing, China
| |
Collapse
|
14
|
Chen S, Wan Y, Guo H, Shen J, Li M, Xia Y, Zhang L, Sun Z, Chen X, Li G, He Q, Hu B. Diabetic and stress-induced hyperglycemia in spontaneous intracerebral hemorrhage: A multicenter prospective cohort (CHEERY) study. CNS Neurosci Ther 2023; 29:979-987. [PMID: 36448225 PMCID: PMC10018104 DOI: 10.1111/cns.14033] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 10/27/2022] [Accepted: 11/09/2022] [Indexed: 12/05/2022] Open
Abstract
INTRODUCTION Admission hyperglycemia is a common finding after spontaneous intracerebral hemorrhage (ICH) secondary to pre-existing diabetes mellitus (DM) or stress-induced hyperglycemia (SIH). Studies of the causal relationship between SIH and ICH outcomes are rare. AIM We aimed to identify whether SIH or pre-existing DM was the cause of admission hyperglycemia associated with ICH outcomes. METHODS Admission glycosylated hemoglobin (HbA1c), glucose levels, and comorbidity data from the prospective, multicenter cohort, Chinese Cerebral Hemorrhage: Mechanisms and Intervention Study (CHEERY), were collected and analyzed. According to different admission blood glucose and HbA1c levels, patients were divided into nondiabetic normoglycemia (NDN), diabetic normoglycemia (DN), diabetic hyperglycemia (DH), and SIH groups. Modified Poisson regression models were used to analyze ICH outcomes in the different groups. RESULTS In total, 1372 patients were included: 388 patients with admission hyperglycemia, 239 with DH, and 149 with SIH. In patients with hyperglycemia, SIH was associated with a higher risk of pulmonary infection [risk ratios (RR): 1.477, 95% confidence interval (CI): 1.004-2.172], 30-day (RR: 1.068, 95% CI: 1.009-1.130) and 90-day mortality after ICH (RR: 1.060, 95% CI: 1.000-1.124). CONCLUSIONS Admission hyperglycemia is a common finding after ICH, and SIH is a sensitive predictor of the risk of pulmonary infection and all-cause death after ICH.
Collapse
Affiliation(s)
- Shaoli Chen
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Yan Wan
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Hongxiu Guo
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Jing Shen
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China.,Department of Neurology, the First Affiliated Hospital of Shihezi University Medical College, Shihezi, Xinjiang Province, China
| | - Man Li
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Yuanpeng Xia
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Lei Zhang
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Zhou Sun
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Xiaolu Chen
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Gang Li
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Quanwei He
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Bo Hu
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| |
Collapse
|
15
|
Chu H, Huang C, Zhou Z, Tang Y, Dong Q, Guo Q. Inflammatory score predicts early hematoma expansion and poor outcomes in patients with intracerebral hemorrhage. Int J Surg 2023; 109:266-276. [PMID: 37093070 PMCID: PMC10389560 DOI: 10.1097/js9.0000000000000191] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 11/20/2022] [Indexed: 04/25/2023]
Abstract
BACKGROUND This study aimed to develop a prediction score named inflammatory score based on proper integration of several inflammatory markers and investigate whether it was associated with hematoma expansion and poor outcomes in patients with intracerebral hemorrhage (ICH). METHODS This study involved a consecutive series of spontaneous ICH patients of two cohorts admitted within 24 hours after symptom onset. Inflammatory score (0-9) was developed with the combination of neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, monocyte-to-lymphocyte ratio, systemic immune-inflammation index, lactate dehydrogenase, and C-reactive protein. The authors investigated the association between inflammatory score and hematoma expansion and poor outcomes by using univariate and multivariate logistic regression analyses. The optimal cutoff point of inflammatory score was determined by receiver operating characteristic analysis in the development cohort and then validated. RESULTS A total of 301 and 154 ICH patients were enrolled in the development and validation cohorts. Inflammatory score was significantly higher in patients with hematoma expansion and poor outcomes. The multivariate logistic regression analysis revealed inflammatory score was independently associated with hematoma expansion, secondary neurological deterioration within 48 hours, 30-day mortality, and 3-month poor modified Rankin scale (4-6). The diagnostic accuracy of inflammatory score exhibited by area under the curve showed numerically or statistically higher than most of the individual indicators. Moreover, inflammatory score greater than or equal to 5 was selected as the optimal cutoff point, which was further prospectively validated with high diagnostic accuracy. CONCLUSIONS The inflammatory score is a reliable predictor for early hematoma expansion and short-term and long-term poor outcomes with good diagnostic accuracies in ICH patients.
Collapse
Affiliation(s)
- Heling Chu
- Department of Gerontology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine
| | - Chuyi Huang
- Health Management Center, School of Medicine, Renji Hospital, School of Medicine, Shanghai Jiaotong University
| | - Zaiying Zhou
- Center for Statistical Science of Tsinghua University, Beijing, China
| | - Yuping Tang
- Department of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai
| | - Qiang Dong
- Center for Statistical Science of Tsinghua University, Beijing, China
| | - Qihao Guo
- Department of Gerontology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine
| |
Collapse
|
16
|
Pan L, Li Z, Li C, Dong X, Hidru TH, Liu F, Xia Y, Yang X, Zhong L, Liu Y. Stress hyperglycemia ratio and neutrophil to lymphocyte ratio are reliable predictors of new-onset atrial fibrillation in patients with acute myocardial infarction. Front Cardiovasc Med 2022; 9:1051078. [PMID: 36440053 PMCID: PMC9681791 DOI: 10.3389/fcvm.2022.1051078] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Accepted: 10/24/2022] [Indexed: 11/10/2022] Open
Abstract
Background The occurrence of new-onset atrial fibrillation (NOAF) post-acute myocardial infarction (AMI) is associated with worse outcomes. In this study, we sought to assess the predictive effect of stress hyperglycemia ratio (SHR) and neutrophil to lymphocyte ratio (NLR) to predict NOAF in patients with AMI. Materials and methods We recruited 3,194 individuals with AMI but free of atrial fibrillation (AF). AMI cases were stratified into groups according to SHR and NLR quartiles and were further categorized based on diabetes status. High SHR and high NLR were defined as the highest quartile of SHR and NLR. A nomogram incorporating risk factors for NOAF was constructed using multivariate logistic regression analyses. The performance of the novel nomogram was tested for predictive performance, agreement between the actual and predicted probability, and clinical utility using area under the curve (AUC), bootstrapped calibration curves, and decision curve analysis, respectively. Result A total of 245 (7.67%) patients developed NOAF post-AMI. The NOAF cases had higher values of SHR and NLR than non-NOAF patients after AMI regardless of diabetes status. After adjusting for potential confounders, high SHR and NLR were independently associated with NOAF post-AMI. Moreover, the novel nomogram incorporating high NLR and high SHR for NOAF risk estimation in patients with AMI showed satisfactory performance assessed by the AUC, calibration curves, decision curve analysis. Conclusion SHR and NLR were independently associated with NOAF in AMI patients. The constructed novel nomogram that incorporates SHR and NLR might assist in NOAF risk stratification post-AMI.
Collapse
|
17
|
Huang YW, Yin XS, Li ZP. Association of the stress hyperglycemia ratio and clinical outcomes in patients with stroke: A systematic review and meta-analysis. Front Neurol 2022; 13:999536. [PMID: 36119678 PMCID: PMC9474893 DOI: 10.3389/fneur.2022.999536] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 08/04/2022] [Indexed: 01/08/2023] Open
Abstract
Objective Stress hyperglycemia (SH) is common in patients with acute diseases, such as stroke and myocardial infarction. Stress hyperglycemia ratio (SHR) is calculated by glucose/glycated hemoglobin and has been widely used for evaluating SH. But whether SHR is associated with clinical outcomes in stroke patients remains unclear so far. Although many studies have shown that higher SHR means poor outcomes, there is still no absolute evidence that SHR plays a critical role in stroke patients. Hence, we performed a systematic review and meta-analysis aiming to investigate the association between SHR and clinical outcomes in stroke patients. Methods We performed a comprehensive literature search of the PubMed, Embase, Cochrane Library databases, Clinicaltrials.gov, and WHO-ICTRP. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), we performed our study. The Newcastle-Ottawa Scale (NOS) tool was used to examine the potential bias of included studies. The endpoints including poor outcome, mortality, neurological deficit, hemorrhagic transformation (HT), and infectious complications were statistically analyzed. Results Sixteen retrospective studies met the eligibility criteria, and a number of 183,588 patients were included. Our meta-analysis demonstrated a significant increase in the incidence of poor outcome, according to assessment by the modified Rankin Scale (mRS) ≥ 3 points [odds ratio (OR) 2.53, 95% confidence interval (CI) 1.99–3.22, P < 0.00001, I2 = 68%], mortality (OR 1.96, 95% CI 1.58–2.44, P < 0.00001, I2 = 61%), neurological deficit (OR 1.99, 95% CI 1.47–2.70, P < 0.00001, I2 = 75%), hemorrhagic transformation (HT) (OR 3.70, 95% CI 2.69–5.08, P < 0.00001, I2 = 0%), and infectious complications [(Pneumonia) OR 2.06, 95% CI 1.57–2.72, P < 0.00001, I2 = 24%; (Urinary tract infection) OR 2.53, 95% CI 1.45–4.42, P = 0.001, I2 = 57%] in stroke patients with higher SHR. However, no significant influence was observed for recanalization rate (OR 0.86, 95% CI 0.54–1.38, P = 0.53, I2 = 0%). Conclusion With or without diabetes, no matter whether undergoing intravenous thrombolysis or mechanical thrombectomy, higher SHR significantly increased the occurrence of poor outcomes, mortality, neurological deficit, HT, and infectious complications. The recanalization rate was not statistically significant between the two groups. More attention must be paid in clinical practice to SH. Future investigation should focus on the diagnostic value of SHR and the early control of hyperglycemia. Meanwhile, whether SHR could become a novel and promising target for early intervention is worthy of attention in further research. Besides, the influence of the dynamic change of glucose-to-HbA1c ratio, namely SHR, on intracerebral hemorrhage outcomes requires further investigation in future research. Although no randomized double-blind studies have been conducted, the available massive sample studies reflect the actual situation in the clinic and assist clinical decision makers. Systematic review registration https://www.crd.york.ac.uk/prospero/, identifier: CRD42022345587.
Collapse
Affiliation(s)
- Yong-Wei Huang
- Department of Neurosurgery, School of Medicine, Mianyang Central Hospital, University of Electronic Science and Technology of China, Mianyang, China
- *Correspondence: Yong-Wei Huang
| | - Xiao-Shuang Yin
- Department of Immunology, School of Medicine, Mianyang Central Hospital, University of Electronic Science and Technology of China, Mianyang, China
| | - Zong-Ping Li
- Department of Neurosurgery, School of Medicine, Mianyang Central Hospital, University of Electronic Science and Technology of China, Mianyang, China
| |
Collapse
|
18
|
Wang C, Wang W, Li G, Wang A, Zhang X, Xiong Y, Zhao X. Prognostic value of glycemic gap in patients with spontaneous intracerebral hemorrhage. Eur J Neurol 2022; 29:2725-2733. [PMID: 35652741 DOI: 10.1111/ene.15432] [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: 05/16/2022] [Accepted: 05/26/2022] [Indexed: 11/28/2022]
Abstract
BACKGROUND Glycemic gap (GG), as a novel biomarker showing the acute glycemic change after the onset of acute illness, has been found to be associated with adverse outcomes in many diseases. This study aimed to explore the prognostic value of GG on long-term outcomes of spontaneous intracerebral hemorrhage (sICH). METHODS The current study included 528 patients from a multi-center, prospective, consecutive, observational cohort study. Poor clinical outcome was defined as the modified Rankin Scale ≥ 3. GG was calculated using admission blood glucose minus hemoglobin A1c-derived average blood glucose. Logistic regression analyses were performed to determine the association between GG and poor clinical outcomes at 30-day, 90-day and 1-year. RESULTS GG was significantly associated with poor clinical outcomes at 30-day, 90-day, and 1-year (P < 0.05 for all models), where patients with higher GG were more likely to have poor clinical outcome. Restricted cubic splines revealed a positive association between GG and poor clinical outcome. In addition, patients with higher GG were more likely to have a higher 1-year mortality rate. The addition of GG to the intracerebral hemorrhage score improved the discrimination and calibration properties for the prediction of poor clinical outcome. CONCLUSIONS GG was independently associated with poor outcomes and may be a valuable prognostic factor in patients with sICH.
Collapse
Affiliation(s)
- Chuanying Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Wenjuan Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Guangshuo Li
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Anxin Wang
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xiaoli Zhang
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yunyun Xiong
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xingquan Zhao
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing, China
| |
Collapse
|
19
|
Xiao K, Chu H, Li G, Chen H, Zhong Y, Dong Q, Tang Y. Reduction of Midline Shift and Short-Term Mortality Following Minimal Invasive Surgery for Spontaneous Supratentorial Intracerebral Hemorrhage: A Retrospective and Case-Control Series. World Neurosurg 2022; 162:e645-e651. [PMID: 35342023 DOI: 10.1016/j.wneu.2022.03.090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2022] [Revised: 03/19/2022] [Accepted: 03/21/2022] [Indexed: 11/19/2022]
Abstract
OBJECTIVE Currently, the treatment of spontaneous intracerebral hemorrhage (sICH) is limiting, especially in patients with midline shift and supratentorial hemorrhage. Here, we investigated the clinical value of minimally invasive surgery (MIS) in patients with midline shift and supratentorial sICH by observing the consciousness state, midline shift, and short-term mortality. METHODS A total of 124 supratentorial sICH patients with midline shift, hematoma volume >30 mL and <150 mL were included in this study. Based on treatment methods, the enrolled patients were divided into minimally invasive surgical (MIS) (group 1, n = 61) and conservative (group 2, n = 63) treatment groups. Measurements of midline shift and state of consciousness using the Glasgow Coma Scale (GCS) score were performed on day 2 following treatment. Additionally, mortality, adverse events, and neurologic recovery (modified Rankin Scale score) in each group were observed after 1 month. RESULTS On postoperative day 2, the recovery rates of midline shift and consciousness state in group 1 patients were 59.02% and 50.82%, respectively, significantly higher than group 2, 26.98% and 25.40% (P < 0.01). By comparing death, adverse events, and neurologic function recovery of the 2 groups within 1 month postoperative, we observed a significantly lower fatality rate in group 1 (16.39%; 10 cases) than group 2 (33.33%; 21 cases) (P < 0.05). No significant difference of the adverse event rates was observed between groups 1 and 2 (19.67% [12 cases] vs. 19.05% [12 cases]). In addition, neurologic function recovery also had no significant difference between the 2 groups (P > 0.05). CONCLUSIONS MIS could reduce early-stage midline shift, improve consciousness state and reduce short-term mortality in patients with supratentorial sICH.
Collapse
Affiliation(s)
- Kaimin Xiao
- Department of Neurology, People's Hospital of Ganxian District, Ganzhou, China
| | - Heling Chu
- Department of Gerontology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Guobin Li
- Department of Neurology, People's Hospital of Ganxian District, Ganzhou, China
| | - Hongmei Chen
- Department of Neurology, People's Hospital of Ganxian District, Ganzhou, China
| | - Youan Zhong
- Department of Neurology, Ethnic Hospital, Guangxi Medical University, Nanning, China
| | - Qiang Dong
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Yuping Tang
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China.
| |
Collapse
|