Nutritional Status in Patients with Acute heart failure: A systematic review and meta-analysis with trial sequential analysis
Notice bibliographique
Résumé
Abstract A critical review of the prognosis impact of malnutrition in patients admitted with acute heart failure (AHF) has never been performed. We systematically reviewed the observational epidemiology literature to determine the all-cause mortality (ACM) in undernourished patients with acute heart failure or at risk of malnutrition through a meta-analysis of observational studies. A systemic search using PubMed, Scopus, and Web of Science was done for articles reporting an association between malnutrition and mortality in patient with acute heart failure published before December 2019. Original data from observational cohort studies in patients with acute heart failure at baseline, and with nutritional state evaluation at admission using screening, or assessment tools. The outcome of interest was mortality independent of the timeframe for follow up. The characteristics of the included study were collected. Data quality assessment using the Newcastle Ottawa Quality Assessment Scale. The hazard ratios (HRs) and corresponding 95% confidence intervals (CIs) were extracted. For the meta-analysis, a random-effects model was considered. Heterogeneity between studies was assessed using Cochran Q statistics and I2 statistics. Subgroup analyses were used to identify the source of heterogeneity. A sensitive analysis was performed to reflect the influence of the individual data set on the pooled HR. Publication bias was detected using the Doi plot and Luis Furuya-Kanamori asymmetry index (LFK index). The influence of potential publication bias on results was explored by using the trim-and-fill procedure. To assess the risks of random errors, trial sequential analysis (TSA) was performed. Seven studies were eligible for review and meta-analysis. There were 9053 participants and over 1536 events occurred. The prevalence of malnutrition varied from 33% to 78.8%. Mean follow-up varied between 189 and 951 days. ACM rates varied between 7% and 42.6%. Nutritional status is significantly associated with mortality in patients with AHF (Pooled HR=1.15;95%CI[1.08-1.23]). Considerable between-study heterogeneity was observed (I2=83%, P=0.001). Heterogeneity was partially explained by the different tools used to screen malnutrition risk, and follow-up durations used by the included studies. There was evidence of major publication bias regarding the risk of malnutrition-related to ACM. The obtained LFK index was 6.12 and suggests major asymmetry. The recalculated pooled HR that incorporates the hypothetical missing studies is 1.15; 95%CI (1.08-1.22). However, the accumulating number of participants and the required information size has not yet been achieved. Then, the trial sequential monitoring boundary is inconclusive. This first meta-analysis of the association between nutritional status in patients with acute heart failure and all-cause mortality indicated that malnutrition risk in a patient with acute heart failure was associated with increased all-cause mortality. The prognosis impact of malnutrition is real despite heterogeneity in tools and cut off for defining malnutrition and mean follow up duration. This review underlines the peremptory need for multicenter studies, for uniform guidelines for assessing nutritional status, and for reporting guidelines for prognostic studies in an acute cardiovascular setting. Better nutritional practice to improve patient care is emphasized in international and national health care guidelines.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,029 | 0,054 |
| Méta-épidémiologie (sens strict) | 0,003 | 0,001 |
| Méta-épidémiologie (sens large) | 0,026 | 0,042 |
| Bibliométrie | 0,006 | 0,007 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,004 | 0,002 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».