Evidence map›Paper›PMID 36803293›Full record

ArticleBMC cardiovascular disorders2023

Post discharge management of heart failure patients: clinical findings at the first medical visit in a single-center study.

F Sall, A Adoubi, C Boka, N Koffi, P Ouattara, A Dakoi, J B Anzouan-Kacou

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Article in BMC cardiovascular disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

F SallUniversité Alassane Ouattara, Bouake, Côte d'Ivoire. fatousall45@yahoo.fr.
A AdoubiUniversité Alassane Ouattara, Bouake, Côte d'Ivoire.
C BokaUniversité Félix Houphouët-Boigny, Abidjan, Côte d'Ivoire.
N KoffiUniversité Alassane Ouattara, Bouake, Côte d'Ivoire.
P OuattaraUniversité Alassane Ouattara, Bouake, Côte d'Ivoire.
A DakoiUniversité Alassane Ouattara, Bouake, Côte d'Ivoire.
J B Anzouan-KacouUniversité Félix Houphouët-Boigny, Abidjan, Côte d'Ivoire.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Post Discharge Management of patients with heart failure impact significantly their incomes. This study aims to analyze the clinical findings and management at the first medical visit of these patients in our context. MATERIAL AND

methodsThis is a retrospective cross-sectional descriptive study on consecutive files of patients hospitalized for heart failure from January to December 2018 in our Department. We analyse data from the first post discharge medical visit including medical visit time, clinical conditions and management.

resultsThree hundred and eight patients (mean age: 53.4 ± 17.0 years, 60% males) were hospitalized on median duration of 4 days [1-22 days]. One hundred and fifty-three patients (49,67%) were presented at the first medical visit after 66.53 days[0.06-369] on average, 10 (3.24%) patients died before this first medical visit and 145 (47.07%) had been lost to follow-up. The re-hospitalization and treatment non-compliance rates were 9.4% and 3.6%, respectively. Male gender (p = 0.048), renal failure (p = 0.010), and Vitamin K antagonist (VKA) /direct oral anticoagulant (DOAC) (p = 0.049) were the main lost to follow-up factors in univariate analysis without statistic signification in multivariate analysis. Hyponatremia (OR = 2.339; CI 95% = 0.908-6.027; p = 0.020) and atrial fibrillation (OR = 2.673; CI 95% = 1.321-5.408; p = 0.012) were the major mortality factors.

conclusionThe management of patients with heart failure after discharge from hospital seems to be insufficient and inadequate. A specialized unit is required to optimize this management.

Indexed as

Atrial FibrillationHeart FailureAdultAftercareAgedAnticoagulantsCross-Sectional StudiesFemaleHumansMaleMiddle AgedPatient DischargeRetrospective StudiesAnticoagulantsHeart failureManagementPostdischarge

Identifiers

PMID36803293
PMCPMC9940359

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.