Complex multimorbidity in hemodialysis patients: Study in a metropolitan region in Brazil

• Published in: PloS one Vol. 19; no. 5; p. e0303068
• Main Authors: Soares, Ana Cristina de Oliveira, Petarli, Glenda Blaser, Cattafesta, Monica, Santos Neto, Edson Theodoro Dos, Salaroli, Luciane Bresciani
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 16-05-2024; Public Library of Science (PLoS)
• Subjects: Adolescent; Adult; Aged; Analysis; Asthma; Biology and Life Sciences; Brazil; Brazil - epidemiology; Bronchitis; Cardiac arrhythmia; Chronic illnesses; Classification; Comorbidity; Condition monitoring; Confidence intervals; Cross-Sectional Studies; Data collection; Diabetes; Epidemiology; Exercise; Female; Health policy; Health services; Hemodialysis; Humans; Hypertension; Independent variables; Infertility; Kidney diseases; Life expectancy; Liver cirrhosis; Male; Medical research; Medicine and Health Sciences; Medicine, Experimental; Metabolic disorders; Metropolitan areas; Middle Aged; Mortality; Multimorbidity; Municipalities; Patients; People and places; Prevalence; Primary care; Public health; Questionnaires; Regression models; Renal Dialysis - statistics & numerical data; Risk Factors; Social capital; Social Sciences; Statistical analysis; Surveys; Surveys and Questionnaires; Thyroid gland; Variables; Young Adult; Brazil
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0303068

The objective of this article was to analyze the factors associated with complex multimorbidity (CMM) among hemodialysis patients in a metropolitan region in southeastern Brazil. To this end, a cross-sectional epidemiological survey was carried out with 1,024 individuals in the year 2019. CMM data were collected through the application of a questionnaire to hemodialysis patients. The binary logistic regression model was used to estimate odds ratios (OR) and 95% confidence intervals (95%CI) between independent variables and CMM. The prevalence of CMM was 81% and the results indicated that: living in cities with a low rate of general mortality (OR = 0.395, 95%CI = 0.179-0.870), being aged between 18 and 29 (OR = 0.402, 95%CI = 0.196-0.825), having an elementary education (OR = 0.536, 95%CI = 0.290-0.966) and assessing health as good/very good (OR = 0.446, 95%CI = 0.301-0.661) are factors that reduced the chances of having CMM, whereas a longer period of hemodialysis (OR = 1.779 and 95%CI = 1.057-2.997) increased the chances of CMM. The findings show that characteristics of the social and individual context are associated with CMM in hemodialysis patients, signaling the need for public health policies that include monitoring the complex multimorbidity condition among individuals undergoing hemodialysis treatment.