2020
DOI: 10.2147/ijgm.s260256
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<p>Predictors of Mortality in Patients with Chronic Heart Failure: Is Hyponatremia a Useful Clinical Biomarker?</p>

Abstract: Background: Chronic heart failure (CHF) is a global health burden. Despite advances in treatment, there remain well-recognised morbidity and mortality. Risk stratification requires the identification and validation of biomarkers, old and new. Hyponatremia has re-emerged as a prognostic marker in CHF patients. Methods: This is a retrospective cohort study on 241 CHF patients recruited from King

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Cited by 6 publications
(8 citation statements)
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References 40 publications
(64 reference statements)
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“…However, DCM patients were younger, presenting more candidates for the advanced treatment and might have potential reversibility of their disease. In-hospital mortality was independently predicted by age, renal impairment, and lower LVEF, which is consistent with other studies in the literature [27][28][29]. This also highlights that although we had patients with different characteristics, we found that most of the predictors of in-hospital mortality in our sample were very similar to those previously published in other studies.…”
Section: What Is Already Known About This Subject and What Does This Study Add?supporting
confidence: 92%
“…However, DCM patients were younger, presenting more candidates for the advanced treatment and might have potential reversibility of their disease. In-hospital mortality was independently predicted by age, renal impairment, and lower LVEF, which is consistent with other studies in the literature [27][28][29]. This also highlights that although we had patients with different characteristics, we found that most of the predictors of in-hospital mortality in our sample were very similar to those previously published in other studies.…”
Section: What Is Already Known About This Subject and What Does This Study Add?supporting
confidence: 92%
“…Recruitment of eligible patients in both studies was described elsewhere. 10 , 11 The variables collected were: patient’s demographic information, NYHA functional class, etiology of heart failure, and co-morbidities (systemic hypertension, diabetes mellitus (DM), dyslipidemia, arrhythmias (including atrial fibrillation (AF)), transient ischemic attacks (TIA), and stroke. Patients’ cardiac medications, anti-diabetic drugs and other relevant drugs were also documented.…”
Section: Methodsmentioning
confidence: 99%
“…DM in our cohort was the strongest predictor of mortality, and this is consistent with other studies in the literature. There was a significantly higher prevalence of type 2 DM in our population (71%) (Alem, 2020) 22 . In this study, the results of the bivariate analysis of blood glucose were significant in the incidence of mortality and rehospitalizations.…”
Section: Results and Analysismentioning
confidence: 48%