Relationship Between Different Risk Factor Patterns and Follow-Up Outcomes in Patients With ST-Segment Elevation Myocardial Infarction.
TL;DR: Wang et al. as mentioned in this paper identified risk factor patterns that may be associated with 1-year survival in male patients with ST-segment elevation myocardial infarction (STEMI).
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Abstract: Objective: Few studies have been concerned with the combined influences of the presence of multiple risk factors on follow-up outcomes in AMI patients. Our study aimed to identify risk factor patterns that may be associated with 1-year survival in male patients with ST-segment elevation myocardial infarction (STEMI). Methods: Data were from the China STEMI Care Project Phase 2 (CSCAP-2) collected between 2015 and 2018. A total of 15,675 male STEMI patients were enrolled in this study. Risk factor patterns were characterized using latent class analysis (LCA) according to seven risk factors. Associations between risk factor patterns and follow-up outcomes, including the incidence of major adverse cardiovascular and cerebrovascular events (MACCE) and all-cause death, were investigated by Cox proportional hazard regression analysis. Results: We obtained four risk factor patterns as "young and middle-aged with low levels of multimorbidity," "middle-aged with overweight," "middle-aged and elderly with normal weight," and "elderly with high multimorbidity." Four patterns had significant differences in event-free survival (P < 0.001). As compared with the patients of "young and middle-aged with low levels of multimorbidity" pattern, the risk of incidence of MACCE and all-cause death were increased in patients of "middle-aged with overweight" pattern (All-cause death: HR = 1.70, 95% CI:1.29~2.23; MACCE: HR = 1.49, 95% CI:1.29~1.72), "middle-aged and elderly with normal weight" pattern (All-cause death: HR = 3.04, 95% CI: 2.33~3.98; MACCE: HR = 1.82, 95% CI: 1.56~2.12), and "elderly with high multimorbidity" pattern (All-cause death: HR = 5.78, 95% CI: 4.49~7.42; MACCE: HR = 2.67, 95% CI: 2.31~3.10). Conclusions: By adopting a Latent Class Analysis Approach, STEMI patients can be characterized into four risk factor patterns with significantly different prognosis. The data is useful for the improvement of community health management in each specific subgroup of patients, which indicates a particular risk factor pattern.
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Citations
The Association of Smoking Status and Clustering of Obesity and Depression on the Risk of Early–Onset Cardiovascular Disease in Young Adults: A Nationwide Cohort Study
Choon Young Kim,Cheol Min Lee,Seungwoo Lee,Jung Eun Yoo,Hee Jung Lee,Hyojin Park,Kyungdo Han,Su Yeon Choi +7 more
TL;DR: In this article , the authors found that smoking increased the risk of early-onset cardiovascular disease (CVD) and even after quitting smoking, the risk was still high compared to non-smokers, and suggested both lifestyle modification and aggressive education on not trying to start smoking in the first place.
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Age Stratification in Acute Ischemic Stroke Patients with Heart Failure
Camron Edrissi,Chase Alexandria Rathfoot,Kris Aric Knisely,C. Sanders,Richard Goodwin,Samuel I. Nathaniel,Thomas I. Nathaniel +6 more
TL;DR: In this paper , a prospectively maintained database from comprehensive stroke centers in PRISMA Health Upstate Sc, was analyzed for patients with acute ischemic stroke and a history of heart failure from January 2010 to 30 June 2016.
Comprehensive safety profile evaluation of bivalirudin in Chinese ST-segment elevation myocardial infarction patients receiving percutaneous coronary intervention: a prospective, multicenter, intensive monitoring study
Hai Ying Zheng,Zhonghua Wang,Qi Li,Yingxin Zhao,Yin Li,Aiming Chen,Jianping Deng,Guohai Su +7 more
TL;DR: In this paper , a prospective, multi-center, intensive monitoring study aimed to systematically assess the occurrence of adverse events (AEs) and adverse drug reactions (ADRs), especially thrombocytopenia and bleeding, as well as their risk factors in Chinese ST-segment elevation myocardial infraction (STEMI) patients receiving bivalirudin as anticoagulant for percutaneous coronary intervention (PCI).
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Long-term all-cause mortality rate after ST-elevation myocardial infarction and its predictors: ST Elevation Myocardial Infarction Cohort in Isfahan Study
Yasaman Shojaei,Masoumeh Sadeghi,Kamran Mehrabani,Sina Rouhani,Razieh Hassannejad,Hamidreza Roohafza +5 more
Abstract: Background: ST-elevation myocardial infarction (STEMI) remains a significant global health concern, especially in low- and middle-income regions. This study aimed to identify long-term prognostic factors among STEMI patients, offering insights into improving patient outcomes. Materials and Methods: This study represents the 5-year follow-up of STEMI patients in the SEMI Cohort in Isfahan registry, a clinical-based registry of STEMI patients in Isfahan, Iran, from October 2015. All patients with STEMI within 24 h of symptom onset underwent a comprehensive evaluation. The dataset included demographic information, laboratory data, medical history, and clinical in-hospital data. Over 5 years, annual follow-ups were conducted to track hospitalization and patient all-cause mortality. Utilizing univariate and multivariate Cox regression proportional hazard modeling, we aimed to identify predictors of death. Results: In this study, involving 759 patients (621 men and 138 women) with a mean age of 58.92 ± 11.79 years, 158 deaths (21%) with a mean age of 70.33 ± 12.66 years occurred after STEMI. In the multiple model our analysis revealed that the following variables significantly increased all-cause mortality independently: Older age (hazard ratio [HR]: 1.070, P < 0.001), lower body mass index (HR: 0.890, P < 0.001), hypertension status (HR: 2.441, P < 0.001), lower systolic blood pressure at initial presentation (HR: 0.983, P < 0.001), number of affected epicardial territories (HR: 2.979, P < 0.001), lower last ejection fraction before discharge (HR: 0.951, P < 0.001), lower hemoglobin level (HR: 0.747, <0.001), higher plasma glucose level (HR: 1.005, P < 0.001), and in-hospital complications (HR: 7.646, P < 0.001). Conclusion: This study identified a range of factors that predict STEMI-related mortality. These findings are pivotal for future planning and decision-making regarding appropriate diagnostic and therapeutic strategies during patient follow-up, contributing to improved outcomes in STEMI care.
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