• search hit 3 of 14
Back to Result List

Delirium after surgery: a retrospective study of predictors, complications, and screening patterns in the national surgical quality improvement program

  • Background Postoperative delirium is a serious yet underrecognized complication affecting diverse surgical populations, with profound implications for morbidity, mortality, and long-term cognitive function. Its prediction remains imprecise, and screening practices vary widely. Methods We conducted a retrospective analysis of the 2021–2023 data from the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP). The study included 217,783 adult surgical patients with documented delirium assessment. Patients were categorized as delirium, non-delirium, or unscreened, with an additional 2.7 million unscreened patients analyzed to assess selection bias in screening. The primary outcome was the incidence of delirium. Other outcomes included surgical and medical complications, mortality, length of stay, functional decline, discharge destination and conditions, and perioperative lab values. Multivariable regression models were used to identify independentBackground Postoperative delirium is a serious yet underrecognized complication affecting diverse surgical populations, with profound implications for morbidity, mortality, and long-term cognitive function. Its prediction remains imprecise, and screening practices vary widely. Methods We conducted a retrospective analysis of the 2021–2023 data from the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP). The study included 217,783 adult surgical patients with documented delirium assessment. Patients were categorized as delirium, non-delirium, or unscreened, with an additional 2.7 million unscreened patients analyzed to assess selection bias in screening. The primary outcome was the incidence of delirium. Other outcomes included surgical and medical complications, mortality, length of stay, functional decline, discharge destination and conditions, and perioperative lab values. Multivariable regression models were used to identify independent predictors of delirium and its associated outcomes. Findings Delirium screening was performed exclusively in patients aged ≥75 years, accounting for 7.3% of all surgical patients. Screening rates declined with advancing age (44% of patients aged 90+ vs 56% aged 75–79), while the proportion screening positive increased sharply (3.1% at 75–79 years vs 12.8% at ≥90 years). Delirium occurred in 10.6% (n = 23,100) of screened patients. Compared with non-delirium patients, those with delirium were older (mean 81.3 vs 79.9 years, p < 0.0001), more functionally dependent, and had higher ASA class and comorbidity burden. Dementia (37% vs 7.9%, p < 0.0001), recent falls (40% vs 18%, p < 0.0001), and urgent/emergency surgery (55% vs 26%, p < 0.0001) were strongly associated. Each 10-min increase in operative time was seen to independently be associated with 2.3% raised odds of delirium (p < 0.0001). Delirium was independently associated with higher 30-day mortality (OR 3.2, 95% CI 2.9–3.5), reoperation (OR 2.3, 95% CI 2.1–2.5), surgical complications (OR 1.8, 95% CI 1.6–1.9), loss of independence (OR 1.6, 95% CI 1.5–1.7), and reduced odds of home discharge (OR 0.5, 95% CI 0.4–0.5). Interpretation Postoperative delirium is an independent predictor of adverse surgical outcomes yet remains substantially under-screened, with disparities across patient groups. These findings underscore the need for standardized, routine screening and targeted prevention strategies to improve perioperative care.show moreshow less

Download full text files

Export metadata

Statistics

Number of document requests

Additional Services

Share in Twitter Search Google Scholar
Metadaten
Author:Adriana C. Panayi, Sarah FriedrichORCiDGND, Jasmin RühlORCiDGND, Thomas Schaschinger, Tobias Niederegger, Leonard Knoedler, Samuel Knoedler, Carsten Rendenbach, Sascha Treskatsch, Leila Harhaus, Max Heiland, Dennis P. Orgill, Gabriel Hundeshagen
URN:urn:nbn:de:bvb:384-opus4-1264192
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/126419
ISSN:2589-5370OPAC
Parent Title (English):eClinicalMedicine
Publisher:Elsevier BV
Place of publication:Amsterdam
Type:Article
Language:English
Year of first Publication:2025
Publishing Institution:Universität Augsburg
Release Date:2025/11/20
Volume:90
First Page:103629
DOI:https://doi.org/10.1016/j.eclinm.2025.103629
Institutes:Mathematisch-Naturwissenschaftlich-Technische Fakultät
Mathematisch-Naturwissenschaftlich-Technische Fakultät / Institut für Mathematik
Mathematisch-Naturwissenschaftlich-Technische Fakultät / Institut für Mathematik / Lehrstuhl für Mathematical Statistics and Artificial Intelligence in Medicine
Dewey Decimal Classification:5 Naturwissenschaften und Mathematik / 51 Mathematik / 510 Mathematik
Licence (German):CC-BY 4.0: Creative Commons: Namensnennung