Risk Factors and Trends in Incidence of Heart Failure Following Acute Myocardial Infarction

Wellings, Jennifer; Kostis, John B.; Sargsyan, Davit; Cabrera, Javier; Kostis, William J.

doi:10.1016/j.amjcard.2018.03.005

Cited by 41 publications

(31 citation statements)

References 24 publications

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“…The mean age in the AHF group was 57.7±10.8 years. This result was different from the study of Auffret et al, and Wellings et al found that the prevalence of AHF complications in AMI was higher in females, and the median age in the study was 69 19,20 (58-79) years. This was because the median age in the 2016 survey was higher than the current research, and it was highly related to the number of male subjects in this study.…”

Section: Resultscontrasting

confidence: 86%

The Correlation between Serum Growth Differentiation Factor-15 Levels and Post-Acute Myocardial Infarction Acute Heart

Mayavani

Suparyatmo

Ariningrum

2020

Indonesian J. Clin. Pathol. Med. Lab.

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Acute Heart Failure (AHF) is a common rapid complication of Acute Myocardial Infarction (AMI). Myocardial dysfunction leads to pathologic remodeling of the heart, which causes AHF. Growth differentiation factor-15 (GDF-15) is expressed by cardiomyocytes and upregulated due to injury and cardiomyocyte damage. Thus, it can be used as a predictor of severe heart damage. This study aimed to determine the correlation between GDF-15 levels and the incidence rate of post-AMI AHF. This prospective cohort study was performed in patients with AMI treated in Dr. Moewardi Hospital from August to September 2019. The Kolmogorov-Smirnov normality test was used. Bivariate analysis was applied for Hazard Ratio (HR) with 95% CI. The GDF-15 cut-off used the ROC curve. The Cox Regression Proportional Hazard Model was used for multivariable analysis. The significance value was p <0.05. During the study, there were a total of 74 subjects. Bivariate analysis showed significant correlation between serum GDF-15 levels and hypertension history to the incidence of post-AMI AHF [HR=3.259; 95%CI (1.1558–6.819); p=0.002] and [HR=3.293; 95%CI (1.489-7.282); p=0.003]. Multivariate analysis showed that both variables had a similar strength of the correlation. The risk and the incidence rate of AHF were three times higher in AMI subjects with a history of hypertension and elevated GDF-15 levels. High serum GDF-15 levels and a history of hypertension can be predictors of post-AMI AHF.

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Section: Resultscontrasting

confidence: 86%

The Correlation between Serum Growth Differentiation Factor-15 Levels and Post-Acute Myocardial Infarction Acute Heart

Mayavani

Suparyatmo

Ariningrum

2020

Indonesian J. Clin. Pathol. Med. Lab.

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“…Many studies reported that arterial hypertension increases the risk of HF. The excess risk associated with arterial hypertension ranged from 7% to 70% 6,18,20,21 . More common microvascular injury and myocardial haemorrhage contribute to the excess HF risk in patients with arterial hypertension 35 .…”

Section: Clinical Risk Factorsmentioning

confidence: 99%

Heart failure after myocardial infarction: incidence and predictors

et al. 2020

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Aims The aim of the present paper was to provide an up-to-date view on epidemiology and risk factors of heart failure (HF) development after myocardial infarction. Methods and results Based on literature review, several clinical risk factors and biochemical, genetic, and imaging biomarkers were identified to predict the risk of HF development after myocardial infarction. Conclusions Heart failure is still a frequent complication of myocardial infarction. Timely identification of subjects at risk for HF development using a multimodality approach, and early initiation of guideline-directed HF therapy in these patients, can decrease the HF burden.

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“…Thus, we did not include those studies in our analysis. Finally, there were 74 studies 27–100 and 38 studies 85,101–137 in which we could estimate RRs for new‐onset and recurrent HF, respectively, in relation to DM. One study 85 examined both new‐onset and recurrent HF risk.…”

Section: Resultsmentioning

confidence: 99%

“…Appendix 7 shows study confounders that were considered when the relationship between DM and new‐onset HF was examined. Most of the included studies (51 studies 27–37,39–41,44–47,50,52,53,58,60–62,66–69,72–74,76–86,91–95,97,99,100 ) adjusted the RR for new‐onset HF at least for age and CHD. Appendix 8 shows the results of study quality assessments according to the NOS.…”

Section: Resultsmentioning

confidence: 99%

“…The sponsor had no influence over the design and conduct of the study; collection, management, analysis, and interpretation of the data; or preparation, review, or approval of the manuscript. Meta-analysis of diabetes and heart failure Appendix 7: Study confounders considered when the relationship between diabetes mellitus and new-onset heart failure was examined Age, (gender), income, education, marital status, duration of DM, stroke, CHD, AF, renal dialysis or transplantation Wandell (2018) 36 Age, (gender), obesity, socio-demography, HT, valvular disease, cardiomyopathy, COPD, OSA Wellings (2018) The confounder in parentheses indicates that the risk measure was adjusted for this confounder although the adjustment was not stated.…”

Section: Conflict Of Interestmentioning

confidence: 99%

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Diabetes mellitus and risk of new‐onset and recurrent heart failure: a systematic review and meta‐analysis

et al. 2020

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Despite mounting evidence of the positive relationship between diabetes mellitus (DM) and heart failure (HF), the entire context of the magnitude of risk for HF in relation to DM remains insufficiently understood. The principal reason is because new-onset HF (HF occurring in participants without a history of HF) and recurrent HF (HF re-occurring in patients with a history of HF) are not discriminated. This meta-analysis aims to comprehensively and separately assess the risk of new-onset and recurrent HF depending on the presence or absence of DM. We systematically searched cohort studies that examined the relationship between DM and new-onset or recurrent HF using EMBASE and MEDLINE (from 1 Jan 1950 to 28 Jul 2019). The risk ratio (RR) for HF in individuals with DM compared with those without DM was pooled with a random-effects model. Seventy-four and 38 eligible studies presented data on RRs for new-onset and recurrent HF, respectively. For new-onset HF, the pooled RR [95% confidence interval (CI)] of 69 studies that examined HF as a whole [i.e. combining HF with preserved ejection fraction (HFpEF) and HF with reduced ejection fraction (HFrEF)] was 2.14 (1.96-2.34). The large between-study heterogeneity (I 2 = 99.7%, P < 0.001) was significantly explained by mean age [pooled RR (95% CI) 2.60 (2.38-2.84) for mean age < 60 years vs. pooled RR (95% CI) 1.95 (1.79-2.13) for mean age ≥ 60 years] (P < 0.001). Pooled RRs (95% CI) of seven and eight studies, respectively, that separately examined HFpEF and HFrEF risk were 2.22 (2.02-2.43) for HFpEF and 2.73 (2.71-2.75) for HFrEF. The risk magnitudes between HFpEF and HFrEF were not significantly different in studies that examined both HFpEF and HFrEF risks (P = 0.86). For recurrent HF, pooled RR (95% CI) of the 38 studies was 1.39 (1.33-1.45). The large between-study heterogeneity (I 2 = 80.1%, P < 0.001) was significantly explained by the proportion of men [pooled RR (95% CI) 1.53 (1.40-1.68) for < 65% men vs. 1.32 (1.25-1.39) for ≥65% men (P = 0.01)] or the large pooled RR for studies of only participants with HFpEF [pooled RR (95% CI), 1.73 (1.32-2.26) (P = 0.002)]. Results indicate that DM is a significant risk factor for both new-onset and recurrent HF. It is suggested that the risk magnitude is large for new-onset HF especially in young populations and for recurrent HF especially in women or individuals with HFpEF. DM is associated with future HFpEF and HFrEF to the same extent.

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Risk Factors and Trends in Incidence of Heart Failure Following Acute Myocardial Infarction

Cited by 41 publications

References 24 publications

The Correlation between Serum Growth Differentiation Factor-15 Levels and Post-Acute Myocardial Infarction Acute Heart

The Correlation between Serum Growth Differentiation Factor-15 Levels and Post-Acute Myocardial Infarction Acute Heart

Heart failure after myocardial infarction: incidence and predictors

Diabetes mellitus and risk of new‐onset and recurrent heart failure: a systematic review and meta‐analysis

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