Temesgen Geta, Eskinder Israel, Christian Kebede
Client satisfaction with abortion care service and its associated factors among women in Ethiopia: a systematic review and meta-analysis
BMC women's health
background objectives heart failure hf prevalent debilitating condition imposes significant burden healthcare systems adversely affects quality life patients worldwide comorbidities chronic kidney disease ckd arterial hypertension diabetes mellitus dm common among hf patients share similar risk factors study aimed identify prognostic significance multiple factors correlation disease prognosis outcomes jordanian cohort materials methods data jordanian heart failure registry johfr analyzed encompassing medical records acute chronic hf patients attending public private cardiology clinics hospitals across jordan online form utilized data collection focusing three kidney function tests estimated glomerular filtration rate egfr blood urea nitrogen bun creatinine levels egfr calculated using cockcroftgault formula also built six machine learning models predict mortality cohort results johfr 2151 hf patients included 644 1799 1927 records analyzed egfr bun creatinine levels respectively age negatively impacted measures p 0001 smokers surprisingly showed better results nonsmokers p 0001 males normal egfr levels compared females p 0002 comorbidities hypertension diabetes arrhythmias implanted devices inversely related egfr pvalues 005 higher bun levels associated chronic hf dyslipidemia ascvd p 0001 higher creatinine levels linked hypertension diabetes dyslipidemia arrhythmias previous hf history pvalues 005 low egfr levels associated increased mechanical ventilation needs p 0049 mortality p 0001 bun levels significantly affect outcomes machine learning analysis employing random forest classifier revealed length hospital stay creatinine 115 significant predictors mortality classifier achieved accuracy 9002 auc 8051 indicating efficacy predictive modeling conclusions study reveals intricate relationship among kidney function tests comorbidities clinical outcomes hf patients jordan highlighting importance kidney function predictive tool integrating machine learning models clinical practice may enhance predictive accuracy patient outcomes thereby supporting personalized approach managing hf related kidney dysfunction research necessary validate findings develop innovative treatment strategies ckd population within hf cohort