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Impact of multimorbidity on mortality in heart failure with reduced ejection fraction:which comorbidities matter most? An analysis of PARADIGM-HF and ATMOSPHERE

Authors :
Dewan, Pooja
Ferreira, João Pedro
Butt, Jawad H.
Petrie, Mark C.
Abraham, William T.
Desai, Akshay S.
Dickstein, Kenneth
Køber, Lars
Packer, Milton
Rouleau, Jean L.
Stewart, Simon
Swedberg, Karl
Zile, Michael R.
Solomon, Scott D.
Jhund, Pardeep S.
McMurray, John J.V.
Dewan, Pooja
Ferreira, João Pedro
Butt, Jawad H.
Petrie, Mark C.
Abraham, William T.
Desai, Akshay S.
Dickstein, Kenneth
Køber, Lars
Packer, Milton
Rouleau, Jean L.
Stewart, Simon
Swedberg, Karl
Zile, Michael R.
Solomon, Scott D.
Jhund, Pardeep S.
McMurray, John J.V.
Source :
Dewan , P , Ferreira , J P , Butt , J H , Petrie , M C , Abraham , W T , Desai , A S , Dickstein , K , Køber , L , Packer , M , Rouleau , J L , Stewart , S , Swedberg , K , Zile , M R , Solomon , S D , Jhund , P S & McMurray , J J V 2023 , ' Impact of multimorbidity on mortality in heart failure with reduced ejection fraction : which comorbidities matter most? An analysis of PARADIGM-HF and ATMOSPHERE ' , European Journal of Heart Failure , vol. 25 , no. 5 , pp. 687-697 .
Publication Year :
2023

Abstract

Aims Multimorbidity, the coexistence of two or more chronic conditions, is synonymous with heart failure (HF). How risk related to comorbidities compares at individual and population levels is unknown. The aim of this study is to examine the risk related to comorbidities, alone and in combination, both at individual and population levels. Methods and results Using two clinical trials in HF – the Prospective comparison of ARNI (Angiotensin Receptor–Neprilysin Inhibitor) with ACEI (Angiotensin-Converting Enzyme Inhibitor) to Determine Impact on Global Mortality and morbidity in HF trial (PARADIGM-HF) and the Aliskiren Trial to Minimize Outcomes in Patients with Heart Failure trials (ATMOSPHERE) – we identified the 10 most common comorbidities and examined 45 possible pairs. We calculated population attributable fractions (PAF) for all-cause death and relative excess risk due to interaction with Cox proportional hazard models. Of 15 066 patients in the study, 14 133 (93.7%) had at least one and 11 867 (78.8%) had at least two of the 10 most prevalent comorbidities. The greatest individual risk among pairs was associated with peripheral artery disease (PAD) in combination with stroke (hazard ratio [HR] 1.73; 95% confidence interval [CI] 1.28–2.33) and anaemia (HR 1.71; 95% CI 1.39–2.11). The combination of chronic kidney disease (CKD) and hypertension had the highest PAF (5.65%; 95% CI 3.66–7.61). Two pairs demonstrated significant synergistic interaction (atrial fibrillation with CKD and coronary artery disease, respectively) and one an antagonistic interaction (anaemia and obesity). Conclusions In HF, the impact of multimorbidity differed at the individual patient and population level, depending on the prevalence of and the risk related to each comorbidity, and the interaction between individual comorbidities. Patients with coexistent PAD and stroke were at greatest individual risk whereas, from a population perspective, coexistent CKD an<br />Aims: Multimorbidity, the coexistence of two or more chronic conditions, is synonymous with heart failure (HF). How risk related to comorbidities compares at individual and population levels is unknown. The aim of this study is to examine the risk related to comorbidities, alone and in combination, both at individual and population levels. Methods and results: Using two clinical trials in HF – the Prospective comparison of ARNI (Angiotensin Receptor–Neprilysin Inhibitor) with ACEI (Angiotensin-Converting Enzyme Inhibitor) to Determine Impact on Global Mortality and morbidity in HF trial (PARADIGM-HF) and the Aliskiren Trial to Minimize Outcomes in Patients with Heart Failure trials (ATMOSPHERE) – we identified the 10 most common comorbidities and examined 45 possible pairs. We calculated population attributable fractions (PAF) for all-cause death and relative excess risk due to interaction with Cox proportional hazard models. Of 15 066 patients in the study, 14 133 (93.7%) had at least one and 11 867 (78.8%) had at least two of the 10 most prevalent comorbidities. The greatest individual risk among pairs was associated with peripheral artery disease (PAD) in combination with stroke (hazard ratio [HR] 1.73; 95% confidence interval [CI] 1.28–2.33) and anaemia (HR 1.71; 95% CI 1.39–2.11). The combination of chronic kidney disease (CKD) and hypertension had the highest PAF (5.65%; 95% CI 3.66–7.61). Two pairs demonstrated significant synergistic interaction (atrial fibrillation with CKD and coronary artery disease, respectively) and one an antagonistic interaction (anaemia and obesity). Conclusions: In HF, the impact of multimorbidity differed at the individual patient and population level, depending on the prevalence of and the risk related to each comorbidity, and the interaction between individual comorbidities. Patients with coexistent PAD and stroke were at greatest individual risk whereas, from a population perspective, coexistent CKD and hypertension mattered

Details

Database :
OAIster
Journal :
Dewan , P , Ferreira , J P , Butt , J H , Petrie , M C , Abraham , W T , Desai , A S , Dickstein , K , Køber , L , Packer , M , Rouleau , J L , Stewart , S , Swedberg , K , Zile , M R , Solomon , S D , Jhund , P S & McMurray , J J V 2023 , ' Impact of multimorbidity on mortality in heart failure with reduced ejection fraction : which comorbidities matter most? An analysis of PARADIGM-HF and ATMOSPHERE ' , European Journal of Heart Failure , vol. 25 , no. 5 , pp. 687-697 .
Notes :
application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1439545088
Document Type :
Electronic Resource