In-hospital mortality and length-of-stay in a cohort of ED patients admitted to internistic units
Notice bibliographique
Résumé
Background: Several life-threatening acute diseases exhibit precise preferred times of onset, during the day (morning), the month or season of the year (winter), and the day of the week (Monday). Moreover, admission to the hospital during nighttime and weekend (WE) is associated with increased risk of in-hospital mortality (IHM) and length-of-hospital stay (LOS). Since most of these data have been obtained in North American settings, the aim of this study was to verify also in an Italian setting whether some factors related to ED evaluation, including time of arrival, and disease’s severity evaluated by a colour code, could be associated with IHM and LOS in ED patients admitted to internal medicine units. Methods: This study was conducted between January 1, 2010 and July 31, 2012, at the St Anna Hospital of Ferrara. We analyzed age, sex, time of arrival to the ED, ED boarding time, and triage colour code of all patients admitted to the Department of Medicine. Friday to midnight Sunday was considered as WE, and the nine main national festive days were always considered as Sunday-WE. Thus, the time period was classified into holidays (WE + festive days) and weekdays (WD), and daytime (8:00 am - 8:00 pm) and nighttime (8:00 pm - 8:00 am). IHM and LOS were assumed as primary and secondary objectives, respectively. Patients were classified into deceased and survivors, and LOS was classified depending on length lower or higher than the median (seven days). T-test, chi-squared test, U Mann-Whitney test, and logistic regression analysis were performed. Results: During the 18-month period, 13,237 consecutive patients visiting the ED (43.4% males, mean age 74.8 ± 13.6 years, 56.6% females, mean age 78.0 ± 13.3 years), were considered. IHM was related to: time of admission (daytime vs. nighttime, p = .015; WE vs. WD, p = .026, holidays vs. no holidays, p = .021), colour code (p < .001), and age (p < .001). Multivariate analysis showed an independent association with IHM for colour code (p < .001), and age (p < .001). LOS >7 days was related to: time of admission (daytime vs. nighttime, p < .001; WE or WD, p = .001; holidays vs. no holidays, p = .002). Furthermore, LOS >7 days depended on both colour code of admission (p < .001), and age (p < .001). Multivariate analysis showed a significant correlation with LOS >7 days for yellow colour code (p < .001), and age (p < .001). Conclusions: Although several factors, such as admission colour code and age, influence some parameters of clinical outcome, i.e., IHM and LOS, a striking weekend effect is not evident in a cohort of consecutive patients admitted to an Italian Medical Department, characterized by intermediate-high level of urgency.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».