Premium
Accuracy of health‐related quality of life in identifying systolic dysfunction in patients with Chagas cardiomyopathy
Author(s) -
Ávila Matheus Ribeiro,
Figueiredo Pedro Henrique Scheidt,
Lima Vanessa Pereira,
Silva Whesley Tanor,
Vianna Marcus Vinícius Accetta,
Fernandes Laís Helena Carvalho,
Azevedo Alda Cristina Alves,
Lima Márcia Maria Oliveira,
Carvalho Bastone Alessandra,
Carmo Pereira Nunes Maria,
Mediano Mauro Felippe Felix,
Costa Rocha Manoel Otávio,
Costa Henrique Silveira
Publication year - 2021
Publication title -
tropical medicine and international health
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.056
H-Index - 114
eISSN - 1365-3156
pISSN - 1360-2276
DOI - 10.1111/tmi.13590
Subject(s) - medicine , diastole , cardiology , ejection fraction , quality of life (healthcare) , confidence interval , cardiomyopathy , blood pressure , systole , physical therapy , heart failure , nursing
Objective Systolic dysfunction is a well‐established marker of mortality in patients with Chagas cardiomyopathy (CC). However, its diagnosis is expensive and useful tools for screening these patients are required. The evaluation of the health‐related quality of life (HRQoL) detects the patient’s perception of the disease’s impact. However, its accuracy in identifying patients with CC and systolic dysfunction is unknown. The study aimed to verify the sensitivity, specificity and predictive values of the physical and mental components related to HRQoL in identifying patients with CC and systolic dysfunction. Methods 75 patients with CC, aged 49 (95% confidence interval: 47–51) years, were evaluated by echocardiography and Short‐Form of Health Survey (SF‐36) questionnaire. Systolic dysfunction was defined by left ventricular ejection fraction <52% for men and <54% for women and left ventricular diastolic diameter >55 mm. Results Most patients (73%) had systolic dysfunction, with lower HRQoL values in the physical functioning, physical role functioning and general health perceptions domains and in the physical component summary. The accuracy of identifying patients with systolic dysfunction by the scores of physical components was 73% and 62% of mental components. The optimal cut‐off point was 46 for physical and 54 for mental components, with respective positive predictive values of 91% and 80%. Conclusion The evaluation of the HRQoL by the SF‐36, a low‐cost instrument, can be useful in identifying patients with systolic dysfunction, assisting in the screening and risk stratification of patients.