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da Costa Pereira JP, da Silva Diniz A, de Lemos MCC, Ramiro CPSP, Cabral PC. Prognostic value of the geriatric nutritional risk index and other hematological markers on long-term survival in the geriatric population. Geriatr Gerontol Int 2024; 24:312-318. [PMID: 38323744 DOI: 10.1111/ggi.14821] [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] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 01/12/2024] [Accepted: 01/18/2024] [Indexed: 02/08/2024]
Abstract
OBJECTIVES The prognostic value of hematological markers has not been extensively explored in the geriatric population, particularly in the presence of the frailty phenotype among hospitalized individuals. Therefore, our study aimed to assess the influence of the frailty phenotype in hospitalized geriatric individuals on hematological markers and their impact on short- and long-term outcomes. METHODS This is a secondary analysis of a prospective cohort study. This study involved hospitalized individuals who were followed during their hospitalization and for nearly 2 years after discharge. At baseline, Fried's frailty phenotype was assessed, as well as hematological markers, including neutrophil-lymphocyte ratio, monocyte-lymphocyte ratio, neutrophil-monocyte ratio, platelet-lymphocyte ratio, systemic inflammation index, prognostic nutritional index, geriatric nutritional risk index (GNRI), and C-reactive protein-albumin ratio. The phase angle derived from bioelectrical impedance analysis was likewise considered a prognostic biomarker. Our main outcomes were hospital length of stay and mortality during follow-up. RESULTS Frailty occurred in 43.2% of the population. Individuals with the frailty phenotype exhibited worse hematological markers and lower phase angle values. Low GNRI and elevated C-reactive protein-albumin ratio values were independently associated with mortality (hazard ratio = 6.88, 95% confidence interval 2.0-23.6; hazard ratio = 2.2, 95% confidence interval 1.1-4.4). Only higher values of the systemic inflammation index were independently associated with prolonged hospital stays. CONCLUSION Hematological markers may serve as a feasible tool for prognostic assessment. Individuals with the frailty phenotype and low GNRI represented a worst-case scenario. Geriatr Gerontol Int 2024; 24: 312-318.
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Affiliation(s)
- Jarson Pedro da Costa Pereira
- Postgraduate Program in Nutrition and Public Health, Department of Nutrition, Federal University of Pernambuco, Recife, Brazil
| | - Alcides da Silva Diniz
- Postgraduate Program in Nutrition and Public Health, Department of Nutrition, Federal University of Pernambuco, Recife, Brazil
| | - Maria Conceição Chaves de Lemos
- Postgraduate Program in Nutrition and Public Health, Department of Nutrition, Federal University of Pernambuco, Recife, Brazil
| | | | - Poliana Coelho Cabral
- Postgraduate Program in Nutrition and Public Health, Department of Nutrition, Federal University of Pernambuco, Recife, Brazil
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Bian X, He J, Zhang R, Yuan S, Dou K. The Combined Effect of Systemic Immune-Inflammation Index and Type 2 Diabetes Mellitus on the Prognosis of Patients Undergoing Percutaneous Coronary Intervention: A Large-Scale Cohort Study. J Inflamm Res 2023; 16:6415-6429. [PMID: 38164165 PMCID: PMC10758317 DOI: 10.2147/jir.s445479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Accepted: 12/12/2023] [Indexed: 01/03/2024] Open
Abstract
Background Chronic low-grade inflammation is the common mechanism of both atherosclerosis and type 2 diabetes mellitus (T2DM), and systemic immune-inflammation index (SII) has been emerged as a novel and simple inflammatory biomarker. However, the association between SII and glycemic metabolism and their synergetic effect on the prognosis of coronary artery disease (CAD) patients remains unclear. Methods A total of 8602 patients hospitalized for percutaneous coronary intervention (PCI) were included. The primary endpoint was major adverse cardiovascular events (MACE), including all-cause death, myocardial infarction (MI), and target vessel revascularization. According to the optimal cut-off value of SII for MACEs, patients were grouped into higher levels of SII (SII-H) and lower levels of SII (SII-L) and further divided by the concomitance of T2DM into four groups: SII-H/T2DM, SII-H/Non-T2DM, SII-L/T2DM, SII-L/Non-T2DM. Results During a median 2.4-year follow-up, 522 MACEs occurred. The optimal cut-off value of SII for MACEs was 502.5. A 1-unit increase of SII (transformed by natural logarithm) was associated with a 29% increase of MACE risks in the T2DM cohort [adjusted hazard ratio (HR): 1.29, 95% confidence interval (CI): 1.03 to 1.61, P = 0.024], while had no effect in the non-T2DM cohort (HR: 1.03, 95% CI: 0.80 to 1.34, P = 0.800). Compared to those in SII-H/T2DM group, patients in SII-H/Non-T2DM, SII-L/T2DM, SII-L/Non-T2DM had significantly decreased risk of MACEs [adjusted HR: 0.77, 95% CI: 0.61 to 0.98, P = 0.036; adjusted HR: 0.66, 95% CI: 0.50 to 0.87, P = 0.003; adjusted HR: 0.58, 95% CI: 0.45 to 0.74, P < 0.001; respectively]. Multivariable Cox regression analysis also indicated the highest risk in T2DM patients with higher levels of SII than others (P for trend < 0.001). Conclusion In this large-scale real-world study, diabetic patients with elevated SII levels were associated with worse clinical outcomes after PCI.
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Affiliation(s)
- Xiaohui Bian
- Cardiometabolic Medicine Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
- State Key Laboratory of Cardiovascular Disease, Beijing, People’s Republic of China
| | - Jining He
- Cardiometabolic Medicine Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
- State Key Laboratory of Cardiovascular Disease, Beijing, People’s Republic of China
| | - Rui Zhang
- Cardiometabolic Medicine Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
- State Key Laboratory of Cardiovascular Disease, Beijing, People’s Republic of China
| | - Sheng Yuan
- Cardiometabolic Medicine Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
- State Key Laboratory of Cardiovascular Disease, Beijing, People’s Republic of China
| | - Kefei Dou
- Cardiometabolic Medicine Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
- State Key Laboratory of Cardiovascular Disease, Beijing, People’s Republic of China
- National Clinical Research Center for Cardiovascular Diseases, Beijing, People’s Republic of China
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Zou X, Chen M, Sun L, Tan Q. Hyperinsulinemia Impaired Coronary Collateral Circulation in Patients with Chronic Total Coronary Occlusion. Diabetes Metab Syndr Obes 2023; 16:1425-1433. [PMID: 37223493 PMCID: PMC10202109 DOI: 10.2147/dmso.s402849] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Accepted: 04/16/2023] [Indexed: 05/25/2023] Open
Abstract
Background and Objectives Hyperinsulinemia impaired cardiovascular system and endothelial function in the population. The purpose of this study was to explore the relationship between hyperinsulinemia and coronary collateral circulation in patients with chronic total coronary occlusion. Methods Patients with stable angina and at least one total coronary occlusion were enrolled in this study. Collateral grade was determined according to Rentrop's classification. Patients were divided into a good coronary collateral circulation (CCC) group (grade 2 or 3 collateral vessels, n = 223) and a poor CCC group (grade 0 or 1 collateral vessels, n = 115). Fasting insulin level (FINS) and fasting glucose level (FBS) were measured. Endothelial function evaluated by flow-mediated dilation (FMD). Results Serum FINS level was significantly increased in the poor CCC group (P < 0.01). Patients in the poor CCC group had higher levels of FBS, HbA1C, and homeostasis model assessment for insulin resistance (HOMA-IR) than patients in the good CCC group. The poor CCC group also had lower levels of FMD, lower LVEF and higher syntax scores than the good CCC group. Hyperinsulinemia (T3, FINS ≥15.22 μIU/mL) increased OR for the incidence of the poor CCC group (OR 2.419, 95% CI 1.780-3.287) in multivariate analysis. Multivariate logistic regression also revealed that diabetes, HbA1c, HOMA-IR, HDL-C and Syntax score were independent predictors of poor CCC (all P < 0.05). Conclusion Hyperinsulinemia is a valuable predictor of poor collateral formation in patients with chronic total coronary occlusion.
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Affiliation(s)
- Xiaoyi Zou
- Department of Cardiology, Qinhuangdao First Hospital, Hebei Medical University, Qinhuangdao, Hebei Province, People’s Republic of China
| | - Ming Chen
- Department of Cardiology, Qinhuangdao First Hospital, Hebei Medical University, Qinhuangdao, Hebei Province, People’s Republic of China
| | - Limin Sun
- Department of Cardiology, Qinhuangdao First Hospital, Hebei Medical University, Qinhuangdao, Hebei Province, People’s Republic of China
| | - Qiang Tan
- Department of Cardiology, Qinhuangdao First Hospital, Hebei Medical University, Qinhuangdao, Hebei Province, People’s Republic of China
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