Risk of early recurrence and mortality in high-risk myocardial infarction patients: A population-based linked data study

Nedkoff, Lee; Briffa, Tom; Murray, Kevin; Gaw, James; Yates, Andrea; Sanfilippo, Frank; Nicholls, Stephen J.

doi:10.1016/j.ijcrp.2023.200185

Cited by 5 publications

(3 citation statements)

References 26 publications

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“…Независимыми предикторами риска смерти в отдаленный период, по данным регистра РИМИС, были также пожилой возраст и перенесенный ранее мозговой инсульт. Эти данные почти полностью совпадают с данными исследования [15], в котором (правда, при значительно более коротком периоде наблюдения) было показано, что пожилой возраст, наличие ХСН, ранее перенесенный инсульт были независимыми предикторами неблагоприятных исходов после перенесенного первичного ИМ.…”

Section: результатыunclassified

Comparative assessment of long-term survival of patients after primary and recurrent myocardial infarction: a data from the RIMIS registry

Martsevich,

Afonina,

Zagrebelnyy

et al. 2024

Cardiovasc Ther Prev

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Aim. To compare the long-term prognosis of life of patients after primary and recurrent acute myocardial infarction (MI).Material and methods. The study was based on the RIMIS registry, which included all patients after transmural MI in 2017 in one of the Moscow vascular centers. The prospective part included 191 patients who survived the acute stage of MI, of which 145 suffered a primary acute MI, 46 — a recurrent acute MI. Long-term follow-up data were collected 71 (53;75) months after discharge from the hospital. The primary endpoint was any-cause death.Results. During the follow-up period, 35 (25,2%) patients with a primary MI and 25 (64,1%) patients with a recurrent MI died (p<0,001). It was not possible to establish the fate of 13 (6,81%) patients, of which 7 (4,83%) were people with primary MI and 6 (13,04%) people with recurrent MI. The death risk was significantly higher in patients who had a recurrent MI compared to patients who had a primary MI: hazard ratio (HR)=3,52 (2,09;5,96), p<0,001). An unfavorable prognosis was determined not by the fact of a recurrent MI, but by the complications that resulted from a previous MI, primarily heart failure, as well as age, sex, smoking status, and hospitalizations for cardiovascular diseases in the year before the reference MI, history of angina and following comorbidities: a prior stroke, major bleeding (life-threatening gastrointestinal bleeding requiring complex surgical intervention). Patients who had a recurrent MI were significantly more adherent to follow-up and prescribed therapy.Conclusion. Despite the modern strategy for treating MI both in the acute stage and in the long-term period, the prognosis after recurrent MI remains unfavorable. Signs negatively affecting the prognosis were sex, age, a history of heart failure and angina pectoris, and hospitalizations for cardiovascular diseases one year prior to reference MI.

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Section: результатыunclassified

Comparative assessment of long-term survival of patients after primary and recurrent myocardial infarction: a data from the RIMIS registry

Martsevich,

Afonina,

Zagrebelnyy

et al. 2024

Cardiovasc Ther Prev

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“…Myocardial infarction often leads to complications such as cardiac rupture [5], heart failure [6], cardiogenic shock [7], and malignant arrhythmias [8], which further worsen the prognosis of patients. Regardless of whether it occurs in high-income countries [9] or low-to middle-income countries [10], MI imposes a significant disease burden. Furthermore, the impact of MI on healthcare systems should not be underestimated.…”

Section: Introductionmentioning

confidence: 99%

Association Between Myocardial Infarction and Triglyceride-Glucose Index: A Study Based on NHANES Database

Zheng,

Cao

2024

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Objective: To investigate differences in levels of the triglyceride-glucose (TyG) index between individuals with myocardial infarction (MI) and those without MI, as well as the association between TyG index and risk of MI. Methods: Data from the National Health and Nutrition Examination Survey (NHANES) for US adults from 2013 to 2018 were included in this study. Using MI as an outcome variable and TyG index as an exposure variable, logistic regression models were employed to analyze relationship between MI and TyG index. Results: The study included 6,695 participants. Compared to the non-MI group, patients with MI had significantly higher TyG index (8.89 vs. 8.63, P = 0.003). Higher TyG index was significantly associated with an increased risk of MI in US adults (OR: 1.69, 95% CI: 1.26–2.26, P < 0.001). Race, smoking status, and history of chronic obstructive pulmonary disease (COPD) had significant impacts on the association between TyG index and risk of MI (P for interaction < 0.05). Subgroup analysis demonstrated a significant positive correlation between TyG index and MI risk in non-Hispanic Black individuals, non-smokers, and individuals without COPD across multiple models (OR > 1.0, P < 0.05). Conclusion: US adults with higher TyG index were more susceptible to MI, and TyG index may be used to identify individuals at high risk of MI in the US population.

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“…Given the current global rise in the incidence of cardiovascular diseases (CVDs), evaluating cardiometabolic risk takes on a particular importance. Despite significant advancements in prevention and treatment, a high incidence of complications and recurrent cardiac events continues to be observed in the population of patients after myocardial infarction (MI) [ 1 , 2 , 3 , 4 ]. Consequently, understanding the significance of anthropometric indices and body composition analysis in the evaluation of cardiometabolic risk among these patients emerges as a pivotal concern.…”

Section: Introductionmentioning

confidence: 99%

Adipose Dysfunction Indices as a Key to Cardiometabolic Risk Assessment—A Population-Based Study of Post-Myocardial Infarction Patients

Szczepańska,

Słoma-Krześlak,

Białek-Dratwa

et al. 2024

Metabolites

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Anthropometric indices, such as the BMI (body mass index), WC (waist circumference), and WHR (waist–hip ratio) are commonly used for cardiometabolic risk assessment. Consequently, in the context of evaluating cardiometabolic risk in the post-MI population, it is worthwhile to consider indices such as the Visceral Adiposity Index (VAI) and Body Adiposity Index (BAI), which have emerged as valuable risk assessment tools in clinical trials. The aim of this study was to provide a more comprehensive understanding of the importance of anthropometric indices and body composition analysis in evaluating the cardiometabolic risk among post-myocardial infarction patients. In the pursuit of this objective, this study involved assessing the BMI, WC, WHR, WHtR, VAI, BAI, and body composition in a population of patients. This study enrolled a total of 120 patients hospitalised at the Silesian Centre for Heart Diseases (SCCS) due to MI, and body composition analysis evaluated various parameters including the percentage of adipose tissue (FatP) [%], total adipose tissue (FatM) [kg], fat-free mass (FFM) [kg], muscle mass (PMM) [kg], total body water (TBW) [kg], and visceral adipose tissue (VFAT). The mean BMI for the entire group was 27.76 ± 4.08, with women exhibiting a significantly lower value compared with men (26.66 ± 3.33 vs. 28.16 ± 4.27). The mean values obtained for the WHR, WHtR, BAI, and VAI were 0.97 ± 0.08, 0.59 ± 0.07, 28.37 ± 5.03, and 3.08 ± 3.50, respectively. Based on the visceral adiposity index (VAI), in 47.5% patients, there was no adipose tissue dysfunction, with a higher proportion among women (71.88%) compared with men (38.64%). What raises concern is that 32.50% of patients had acute ATD, with a significantly higher prevalence among men (38.64%) compared with women (15.63%). Conclusion: The study results suggest that the BMI, WC, and WHR have their limitations, whereas the WHtR, VAI, and BAI provide a more comprehensive view of cardiometabolic risk, especially in the context of adipose tissue distribution and its metabolic consequences. Incorporating the WHtR, VAI, and BAI into routine clinical practice may enhance the management of cardiometabolic risk, especially among post-MI patients.

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Risk of early recurrence and mortality in high-risk myocardial infarction patients: A population-based linked data study

Cited by 5 publications

References 26 publications

Comparative assessment of long-term survival of patients after primary and recurrent myocardial infarction: a data from the RIMIS registry

Comparative assessment of long-term survival of patients after primary and recurrent myocardial infarction: a data from the RIMIS registry

Association Between Myocardial Infarction and Triglyceride-Glucose Index: A Study Based on NHANES Database

Adipose Dysfunction Indices as a Key to Cardiometabolic Risk Assessment—A Population-Based Study of Post-Myocardial Infarction Patients

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