Role of biological and non biological factors in congestive heart failure mortality: PREDICE-SCORE: A clinical prediction rule

Cámara, Agustı́n Gómez de la; Guerra-Vales, Juan-Manuel; Tapia, Purificación Magán; Esteban, Eva; Pozo, Silvia Vázquez Fernández del; Sandubete, Enrique Calderón; Medrano, Francisco J.; Puerto, Asunción Navarro; Marín-León, I.

doi:10.5603/cj.2012.0108

Cited by 17 publications

(3 citation statements)

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“…Following the title and abstract screening process, 292 studies were deemed eligible for full‐text screening. Ultimately, during the final phase of full‐text screening, 65 studies (comprising 88 cohorts) met the inclusion criteria and were included in the subsequent meta‐analysis 10–74 . One additional study was identified through a manual cross‐reference of the included studies, bringing the total to 66 studies 75 (online supplementary Figure ).…”

Section: Resultsmentioning

confidence: 99%

The different risk of new‐onset, chronic, worsening, and advanced heart failure: A systematic review and meta‐regression analysis

Shakoor,

Abou Kamar,

Malgie

et al. 2023

European J of Heart Fail

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Background and aimsHeart failure (HF) is a chronic and progressive syndrome associated with a poor prognosis. While it may seem intuitive that the risk of adverse outcomes varies across the different stages of HF, an overview of these risks is lacking. This study aims to determine the risk of all‐cause mortality and HF hospitalizations associated with new‐onset HF, chronic HF (CHF), worsening HF (WHF), and advanced HF (adv. HF).MethodsWe performed a systematic review of observational studies from 2012 to 2022 using five different databases. The primary outcomes were 30‐day and one‐year all‐cause mortality, as well as one‐year HF hospitalization. Studies were pooled using random effects meta‐analysis, and mixed‐effects meta‐regression was used to compare the different HF groups.ResultsAmong the 15.759 studies screened, 66 were included representing 862.046 HF patients. Pooled 30‐day mortality rates did not reveal a significant distinction between hospital‐admitted patients, with rates of 10.13% for new‐onset HF and 8.11% for WHF (p = 0.10). However, the one‐year mortality risk differed and increased stepwise from CHF to adv. HF, with a rate of 8.47% (95% CI 7.24–9.89) for CHF, 21.15% (95% CI 17.78–24.95) for new‐onset HF, 26.84% (95% CI 23.74–30.19) for WHF, and 29.74% (95% CI 24.15–36.10) for adv HF. Readmission rates for HF at one year followed a similar trend.ConclusionsOur meta‐analysis of observational studies confirms the different risk for adverse outcomes across the distinct HF stages. Moreover, it emphasizes the negative prognostic value of WHF as the first progressive stage from CHF towards adv. HF.This article is protected by copyright. All rights reserved.

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Section: Resultsmentioning

confidence: 99%

The different risk of new‐onset, chronic, worsening, and advanced heart failure: A systematic review and meta‐regression analysis

Shakoor,

Abou Kamar,

Malgie

et al. 2023

European J of Heart Fail

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“…. ) can be responsible for an acute HF decompensation [19][20][21][22][23]. These triggers affect the fluid balance regulatory mechanisms, leading to hydric overload.…”

Section: Introductionmentioning

confidence: 99%

From Bioimpedance to Volume Estimation: A Model for Edema Calculus in Human Legs

et al. 2023

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Heart failure (HF) is a severe disease and one of the most important causes of death in our society nowadays. A significant percentage of patients hospitalized for decompensation of heart failure are readmitted after some weeks or months due to an expected bad and uncontrolled HF evolution due to the lack of the patient supervision in real time. Herein is presented a straightforward electric model useful for volume leg section calculus based on the bioimpedance test as a way to assist with the acute HF patient’s supervision. The method has been developed for time-evolution edema evaluation in patients’ corresponding legs. The data are picked up with a wearable device specifically developed for acute heart failure patients. As an initial step, a calibration method is proposed to extract the extracellular volume component from bioimpedance measurements done in healthy subjects, and then applied to unhealthy ones. The intra- and extracellular resistance components are calculated from fitted Cole–Cole model parameters derived from BI spectroscopy measurements. Results obtained in a pilot assay, with healthy subjects and heart failure subjects, show sensitivities in leg volume [mL/Ω], with much lower values for healthy than in unhealthy people, being an excellent biomarker to discriminate between both. Finally, circadian cycle evolution for leg volume has been measured from the bioimpedance test as an extension of the work, enabling an alternative parameter for the characterization of one day of human activity for any person.

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“…Heart failure is the most common disease with high mortality and morbidity rate in the worldwide [2]. Co-morbidities are important in patients with HF.…”

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confidence: 99%

Further studies should evaluate multiple predispositions in heart failure prognosis

Aydoğan¹,

Balta²,

Demırkol³

et al. 2013

Cardiol J.

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Role of biological and non biological factors in congestive heart failure mortality: PREDICE-SCORE: A clinical prediction rule

Cited by 17 publications

References 56 publications

The different risk of new‐onset, chronic, worsening, and advanced heart failure: A systematic review and meta‐regression analysis

The different risk of new‐onset, chronic, worsening, and advanced heart failure: A systematic review and meta‐regression analysis

From Bioimpedance to Volume Estimation: A Model for Edema Calculus in Human Legs

Further studies should evaluate multiple predispositions in heart failure prognosis

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