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Heart failure-type symptom scores in chronic kidney disease: The importance of body mass index.
Walther, Carl P; Benoit, Julia S; Gregg, L Parker; Bansal, Nisha; Nambi, Vijay; Feldman, Harold I; Shlipak, Michael G; Navaneethan, Sankar D.
Afiliação
  • Walther CP; Selzman Institute for Kidney Health, Section of Nephrology, Baylor College of Medicine, Houston, TX, USA. carl.walther@bcm.edu.
  • Benoit JS; Texas Institute for Measurement, Evaluation, and Statistics, University of Houston, Houston, TX, USA.
  • Gregg LP; Selzman Institute for Kidney Health, Section of Nephrology, Baylor College of Medicine, Houston, TX, USA.
  • Bansal N; Section of Nephrology, Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX, USA.
  • Nambi V; Kidney Research Institute and Division of Nephrology, University of Washington, Seattle, WA, USA.
  • Feldman HI; Section of Cardiology, Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX, USA.
  • Shlipak MG; Section of Cardiovascular Research, Baylor College of Medicine, Houston, TX, USA.
  • Navaneethan SD; Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, PA, USA.
Int J Obes (Lond) ; 46(10): 1910-1917, 2022 10.
Article em En | MEDLINE | ID: mdl-35978101
OBJECTIVES: This analysis sought to determine factors (including adiposity-related factors) most associated with HF-type symptoms (fatigue, shortness of breath, and edema) in adults with chronic kidney disease (CKD). BACKGROUND: Symptom burden impairs quality of life in CKD, especially symptoms that overlap with HF. These symptoms are common regardless of clinical HF diagnosis, and may be affected by subtle cardiac dysfunction, kidney dysfunction, and other factors. We used machine learning to investigate cross-sectional relationships of clinical variables with symptom scores in a CKD cohort. METHODS: Participants in the Chronic Renal Insufficiency Cohort (CRIC) with a baseline modified Kansas City Cardiomyopathy Questionnaire (KCCQ) score were included, regardless of prior HF diagnosis. The primary outcome was Overall Summary Score as a continuous measure. Predictors were 99 clinical variables representing demographic, cardiac, kidney and other health dimensions. A correlation filter was applied. Random forest regression models were fitted. Variable importance scores and adjusted predicted outcomes are presented. RESULTS: The cohort included 3426 individuals, 10.3% with prior HF diagnosis. BMI was the most important factor, with BMI 24.3 kg/m2 associated with the least symptoms. Symptoms worsened with higher or lower BMIs, with a potentially clinically relevant 5 point score decline at 35.7 kg/m2 and a 1-point decline at the threshold for low BMI, 18.5 kg/m2. The most important cardiac and kidney factors were heart rate and eGFR, the 4th and 5th most important variables, respectively. Results were similar for secondary analyses. CONCLUSIONS: In a CKD cohort, BMI was the most important feature for explaining HF-type symptoms regardless of clinical HF diagnosis, identifying an important focus for symptom directed investigations.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Insuficiência Renal Crônica / Insuficiência Cardíaca Tipo de estudo: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Humans Idioma: En Revista: Int J Obes (Lond) Assunto da revista: METABOLISMO Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Insuficiência Renal Crônica / Insuficiência Cardíaca Tipo de estudo: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Humans Idioma: En Revista: Int J Obes (Lond) Assunto da revista: METABOLISMO Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos