scholarly journals Sociodemographic, labour market marginalisation and medical characteristics as risk factors for reinfarction and mortality within 1 year after a first acute myocardial infarction: a register-based cohort study of a working age population in Sweden

BMJ Open ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. e033616
Author(s):  
Mo Wang ◽  
Marjan Vaez ◽  
Thomas Ernst Dorner ◽  
Syed Ghulam Rahman ◽  
Magnus Helgesson ◽  
...  
Keyword(s):  
Risk Factors ◽  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Cohort Study ◽  
Labour Market ◽  
Work Disability ◽  
First Year ◽  
Risk Of Mortality ◽  
All Cause Mortality

ObjectivesResearch covering a wide range of risk factors related to the prognosis during the first year after an acute myocardial infarction (AMI) is insufficient. This study aimed to investigate whether sociodemographic, labour market marginalisation and medical characteristics before/at AMI were associated with subsequent reinfarction and all-cause mortality.DesignPopulation-based cohort study.ParticipantsThe cohort included 15 069 individuals aged 25–64 years who had a first AMI during 2008–2010.Primary and secondary outcome measuresThe outcome measures consisted of reinfarction and all-cause mortality within 1 year following an AMI, which were estimated by univariate and multivariable HRs and 95% CIs by Cox regression.ResultsSociodemographic characteristics such as lower education showed a 1.1-fold and 1.3-fold higher risk for reinfarction and mortality, respectively. Older age was associated with a higher risk of mortality while being born in non-European countries showed a lower risk of mortality. Labour market marginalisation such as previous long-term work disability was associated with a twofold higher risk of mortality. Regarding medical characteristics, ST-elevation myocardial infarction was predictive for reinfarction (HR: 1.14, 95% CI: 1.07 to 1.21) and all-cause mortality (HR: 3.80, 95% CI: 3.08 to 4.68). Moreover, diabetes mellitus, renal insufficiency, stroke, cancer and mental disorders were associated with a higher risk of mortality (range of HRs: 1.24–2.59).ConclusionsSociodemographic and medical risk factors were identified as risk factors for mortality and reinfarction after AMI, including older age, immigration status, somatic and mental comorbidities. Previous long-term work disability and infarction type provide useful information for predicting adverse outcomes after AMI during the first year, particularly for mortality.

scholarly journals Association Between Fasting Hyperglycemia and New-Onset Atrial Fibrillation in Patients With Acute Myocardial Infarction and the Impact on Short- and Long-Term Prognosis

2021 ◽  
Vol 8 ◽  
Author(s):  
Mingxing Li ◽  
Yingying Gao ◽  
Kai Guo ◽  
Zidi Wu ◽  
Yi Lao ◽  
...  
Keyword(s):  
Risk Factors ◽  
Myocardial Infarction ◽  
Atrial Fibrillation ◽  
Acute Myocardial Infarction ◽  
All Cause Mortality ◽  
Long Term Prognosis ◽  
Onset Atrial Fibrillation ◽  
New Onset

Background: The relationship between fasting hyperglycemia (FHG) and new-onset atrial fibrillation (AF) in patients with acute myocardial infarction (AMI) is unclear, and whether their co-occurrence is associated with a worse in-hospital and long-term prognosis than FHG or AF alone is unknown.Objective: To explore the correlation between FHG and new-onset AF in patients with AMI, and their impact on in-hospital and long-term all-cause mortality.Methods: We performed a retrospective cohort study comprising 563 AMI patients. The patients were divided into the FHG group and the NFHG group. The incidence of new-onset AF during hospitalization was compared between the two groups and sub-groups under different Killip grades. Logistic regression was used to assess the association between FHG and new-onset AF. In-hospital mortality and long-term all-cause mortality were compared among patients with FHG, AF, and with both FHG and AF according to 10 years of follow-up information.Results: New-onset AF occurred more frequently in the FHG group than in the NFHG group (21.6 vs. 9.2%, p < 0.001). This trend was observed for Killip grade I (16.6 vs. 6.5%, p = 0.002) and Grade II (17.1 vs. 6.9%, p = 0.005), but not for Killip grade III–IV (40 vs. 33.3%, p = 0.761). Logistic regression showed FHG independently correlated with new-onset AF (OR, 2.56; 95% CI, 1.53–4.30; P < 0.001), and 1 mmol/L increased in fasting glucose was associated with a 5% higher rate of new-onset AF, after adjustment for traditional AF risk factors. AMI patients complicated with both fasting hyperglycemia and AF showed the highest in-hospital mortality and long-term all-cause mortality during an average of 11.2 years of follow-up. Multivariate Cox regression showed FHG combined with AF independently correlated with long-term all-cause mortality after adjustment for other traditional risk factors (OR = 3.13, 95% CI 1.64–5.96, p = 0.001), compared with the group with neither FHG nor new-onset AF.Conclusion: FHG was an independent risk factor for new-onset AF in patients with AMI. AMI patients complicated with both FHG and new-onset AF showed worse in-hospital and long-term all-cause mortality than with FHG or AF alone.

scholarly journals Long-Term Effect of Non-Selective Beta-Blockers in Patients With Rheumatoid Arthritis After Myocardial Infarction—A Nationwide Cohort Study

2021 ◽  
Vol 12 ◽  
Author(s):  
Sheng-Fu Liu ◽  
Chih-Kuo Lee ◽  
Kuan-Chih Huang ◽  
Lian-Yu Lin ◽  
Mu-Yang Hsieh ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Myocardial Infarction ◽  
Protective Effect ◽  
Lower Risk ◽  
Beta Blockers ◽  
Term Survival ◽  
Risk Of Mortality ◽  
All Cause Mortality ◽  
The Impact

Objectives: Rheumatoid arthritis (RA) is an independent nontraditional risk factor for incidence of myocardial infarction (MI) and post-MI outcome is impaired in the RA population. Use of beta-blockers improves the long-term survival after MI in the general population while the protective effect of beta-blockers in RA patients is not clear. We investigate the impact of beta-blockers on the long-term outcome of MI among RA patients.Methods: We identified RA subjects from the registries for catastrophic illness and myocardial infarction from 2003 to 2013. The enrolled subjects were divided into three groups according to the prescription of beta-blockers (non-user, non-selective, and β1-selective beta-blockers). The primary endpoint was all-cause mortality. We adjusted clinical variables and utilized propensity scores to balance confounding bias. Cox proportional hazards regression models were used to estimate the incidence of mortality in different groups.Results: A total of 1,292 RA patients with myocardial infarction were enrolled, where 424 (32.8%), 281 (21.7%), and 587 (45.5%) subjects used non-user, non-selective, and β1-selective beta-blockers, respectively. Use of beta-blockers was associated with lower risk of all-cause mortality after adjustment with comorbidities, medications (adjusted hazard ratio [HR] 0.871; 95% confidence interval [CI] 0.727–0.978), and propensity score (HR 0.882; 95% CI 0.724–0.982). Compared with β1-selective beta-blockers, treatment with non-selective beta-blockers (HR 0.856; 95% CI 0.702–0.984) was significantly related to lower risk of mortality. The protective effect of non-selective beta-blockers remained in different subgroups including sex and different anti-inflammatory drugs.Conclusion: Use of beta-blockers improved prognosis in post-MI patients with RA. Treatment with non-selective beta-blockers was significantly associated with reduced risk of mortality in RA patients after MI rather than β1-selective beta-blockers.

scholarly journals Glucose variability and the risks of stroke, myocardial infarction, and all-cause mortality in individuals with diabetes: retrospective cohort study

2020 ◽  
Vol 19 (1) ◽  
Author(s):  
Da Young Lee ◽  
Kyungdo Han ◽  
Sanghyun Park ◽  
Ji Hee Yu ◽  
Ji A. Seo ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Cohort Study ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
The Elderly ◽  
Glucose Variability ◽  
All Cause Mortality ◽  
Nationwide Observational Study ◽  
The Impact

Abstract Background Previous research regarding long-term glucose variability over several years which is an emerging indicator of glycemic control in diabetes showed several limitations. We investigated whether variability in long-term fasting plasma glucose (FG) can predict the development of stroke, myocardial infarction (MI), and all-cause mortality in patients with diabetes. Methods This is a retrospective cohort study using the data provided by the Korean National Health Insurance Corporation. A total of 624,237 Koreans ≥ 20 years old with diabetes who had undergone health examinations at least twice from 2005 to 2008 and simultaneously more than once from 2009 to 2010 (baseline) without previous histories of stroke or MI. As a parameter of variability of FG, variability independent of mean (VIM) was calculated using FG levels measured at least three times during the 5 years until the baseline. Study endpoints were incident stroke, MI, and all-cause mortality through December 31, 2017. Results During follow-up, 25,038 cases of stroke, 15,832 cases of MI, and 44,716 deaths were identified. As the quartile of FG VIM increased, the risk of clinical outcomes serially increased after adjustment for confounding factors including duration and medications of diabetes and the mean FG. Adjusted hazard ratios (95% confidence intervals) of FG VIM quartile 4 compared with quartile 1 were 1.20 (1.16–1.24), 1.20 (1.15–1.25), and 1.32 (1.29–1.36) for stroke, MI and all-cause mortality, respectively. The impact of FG variability was higher in the elderly and those with a longer duration of diabetes and lower FG levels. Conclusions In diabetes, long-term glucose variability showed a dose–response relationship with the risk of stroke, MI, and all-cause mortality in this nationwide observational study.

408Albuminuria as a predictor of incident ischemic stroke and myocardial infarction in patients with type 2 diabetes but without cardiovascular disease: A Danish cohort study

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
M V Fangel ◽  
P B Nielsen ◽  
J K Kristensen ◽  
T B Larsen ◽  
T F Overvad ◽  
...  
Keyword(s):  
Risk Factors ◽  
Myocardial Infarction ◽  
Type 2 Diabetes ◽  
Cardiovascular Disease ◽  
Cohort Study ◽  
Ischemic Stroke ◽  
Cardiovascular Risk ◽  
All Cause Mortality ◽  
Patients With Diabetes

Abstract Background Risk stratification in patients with type 2 diabetes continues to be an important priority in the management of diabetes-related morbidity and mortality. International guidelines generally recognize patients with diabetes and cardiovascular disease as high-risk patients. Risk stratification is, however, more uncertain in diabetes patients without cardiovascular disease. Micro- and macroalbuminuria have previously been identified as predictors of cardiovascular events and mortality in general cohorts of diabetes patients. However, less is known about the predictive value of albuminuria in patients with diabetes but without established cardiovascular disease. Purpose We aimed to examine the association between albuminuria level and the risk of ischemic stroke, myocardial infarction, and all-cause mortality in patients with type 2 diabetes and without a diagnosis of cardiovascular disease. Methods We linked Danish nationwide registries to identify patients with type 2 diabetes and without cardiovascular disease from May 2005 through June 2015. Based on two consecutive measurements of the urinary albumin excretion rate or albumin-to-creatinine ratio patients were stratified in categories of normoalbuminuria, microalbuminuria, and macroalbuminuria. Patients were followed for the outcomes ischemic stroke, myocardial infarction, and all-cause mortality until December 31, 2015. Five-year risk of outcomes were presented as cumulative incidence functions (with death as a competing event). Associations between albuminuria level and incidence of ischemic stroke, myocardial infarction, and all-cause mortality were evaluated with Cox proportional hazard regression adjusted for cardiovascular risk factors. Results The study population included 78,841 patients with type 2 diabetes (44.7% females, mean age 63.2). When comparing patients with microalbuminuria to patients with normoalbuminuria in an age- and sex-adjusted analysis, we found hazard ratios (HRs) of 1.45 (95% CI: 1.24–1.69), 1.45 (95% CI: 1.24–1.70), and 1.50 (95% CI: 1.39–1.61) for ischemic stroke, myocardial infarction, and all-cause mortality, respectively. Furthermore, macroalbuminuria was associated with HRs of 2.05 (95% CI: 1.70–2.48), 2.25 (95% CI: 1.86–2.71), and 2.03 (95% CI: 1.85–2.23) for ischemic stroke, myocardial infarction, and all-cause mortality, respectively. Similar results were found after adjusting for cardiovascular risk factors. Conclusions In this nationwide cohort study of patients with type 2 diabetes but without cardiovascular disease, patients with micro- and macroalbuminuria had a higher risk of incident ischemic stroke, myocardial infarction, and all-cause mortality. This finding supports that patients with micro- or macroalbuminuria should be screened regularly and followed closely in clinical practice. Moreover, these findings suggest that patients with type 2 diabetes and micro- or macroalbuminuria may benefit from intensive vascular risk reduction.

scholarly journals The cause of death, risk factors and long-term prognosis of acute myocardial infarction.

1987 ◽  
Vol 51 (3) ◽  
pp. 332-337 ◽  
Author(s):  
MIKIO ARITA ◽  
YUJI UENO ◽  
OSAMU MOHARA ◽  
HIDEYA NAKAMURA ◽  
YOSHIAKI TOMOBUCHI ◽  
...  
Keyword(s):  
Risk Factors ◽  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Cause Of Death ◽  
Death Risk ◽  
Long Term Prognosis

Long-term prognostic significance of living alone and other risk factors in patients with acute myocardial infarction

2014 ◽  
Vol 184 (1) ◽  
pp. 153-158 ◽  
Author(s):  
I. Vujcic ◽  
H. Vlajinac ◽  
E. Dubljanin ◽  
Z. Vasiljevic ◽  
D. Matanovic ◽  
...  
Keyword(s):  
Risk Factors ◽  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Prognostic Significance ◽  
Living Alone
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