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Factors associated with resource-intensive planned critical care admissions after elective surgery in patients with a planned admission to the intensive care unit

Revista

British Journal of Anaesthesia

Fecha de publicación

2 de diciembre de 2025

Br J Anaesth. 2025 Dec 1:S0007-0912(25)00790-1. Revista: 10.1016/j.bja.2025.08.066. Online ahead of print.

BACKGROUND: There are limited risk prediction tools to help clinicians assess an appropriate disposition for postoperative patients. The utility of admitting lower-risk, elective surgical cases to the ICU after surgery has been questioned. Therefore, the primary aim of this study was to identify factors associated with a resource intensive admission.

METHODS: A registry-based study utilising the Australia and New Zealand Intensive Care Society Adult Patient Database and Critical Care Resources Survey was conducted. All patients with a planned ICU admission after elective surgery between 2018 and 2022 were eligible for inclusion. The primary outcome was the proportion of patients with a resource intensive admission (defined as the need for classical ICU supports, an ICU length of stay >24 h, readmission within 3 days, or in-hospital death). A mixed-effects multivariate regression model was used to assess factors associated with resource intensive admissions.

RESULTS: A total of 75 390 admissions were included. Mean age was 63 (range, 16-103) yr, and 42 382 (56%) were male. Of the total admissions, 36 053 (47.8%) patients had resource intensive admissions. Resource intensive admissions were associated with longer hospital length of stay and lower rate of discharge home. Factors independently associated with an increased risk of a resource intensive admission included co-morbidities (such as chronic respiratory or renal disease), frailty, and major vascular and gastrointestinal surgery.

CONCLUSIONS: Fewer than 50% of patients with a planned ICU admission after elective surgery experienced a resource intensive admission. Alongside surgery type, frailty state and chronic co-morbidities were associated with resource intensive admissions. Further work to develop accurate prediction tools for resource intensive ICU admissions is needed.

PubMed:41330799 | Revista:10.1016/j.bja.2025.08.066

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El idioma original es este artículo es el inglés. Mediante el sistema de traducción automático de la IA de emergencing, el contenido se ha traducido al español. Esta es una traducción no supervisada por lo que puede que alguna parte del contenido no refleje con exactitud la publicación original del autor/autores.