Evidence map›Paper›PMID 42277676›Full record

ArticleBMC anesthesiology2026

Association between age and postoperative delirium after hip or knee replacement: a secondary analysis of a publicly available dataset.

Shunzhong Jing, Liping Jiang, Anyuan Liu, Jiamei Liang, Xiaoqiang Sun, Yunan Lin

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Article in BMC anesthesiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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6 authors.

Shunzhong Jing *Department of Anesthesiology, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.
Liping Jiang *Department of Ophthalmology, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.
Anyuan LiuDepartment of Anesthesiology, The First Affiliated Hospital of Guangxi Medical University, 6 Shuangyong Road, Nanning, 530021, China.
Jiamei LiangDepartment of Anesthesiology, The First Affiliated Hospital of Guangxi Medical University, 6 Shuangyong Road, Nanning, 530021, China.
Xiaoqiang SunDepartment of Anesthesiology, Sichuan Province Orthopedic Hospital, Chengdu, China.
Yunan LinDepartment of Anesthesiology, The First Affiliated Hospital of Guangxi Medical University, 6 Shuangyong Road, Nanning, 530021, China. Lyunan@sr.gxmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAge is a well-established risk factor for postoperative delirium (POD), but its independent association with POD in older patients undergoing joint replacement warrants further clarification. We examined the association between age and POD in a publicly available arthroplasty dataset.

methodsThis retrospective secondary analysis included 269 patients aged 65 years or older who underwent hip or knee replacement. POD was diagnosed within 5 days after surgery according to Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) criteria and daily bedside assessment using the Confusion Assessment Method (CAM). Univariable and multivariable logistic regression models were used to evaluate the association between age and POD. Adjusted analyses included parsimonious and extended models, and Firth penalized logistic regression was performed as a robustness analysis. As the dataset contained no missing values for the outcome or retained covariates, no imputation was required. A generalized additive model (GAM) was used as an exploratory tool to visualize the shape of the association.

resultsAmong the 269 patients, 62 (23.0%) developed POD. In univariable analysis, increasing age was associated with higher odds of POD (odds ratio [OR] 1.139 per 1-year increase, 95% confidence interval [CI] 1.089-1.197; P < 0.001). This association remained stable in the parsimonious adjusted model (OR 1.133, 95% CI 1.073-1.202; P < 0.001), the extended adjusted model (OR 1.134, 95% CI 1.074-1.204; P < 0.001), and Firth penalized logistic regression (OR 1.126, 95% CI 1.068-1.193; P < 0.001). Exploratory smoothing suggested that the adjusted predicted probability of POD generally increased with age across the observed range. The main logistic regression models showed acceptable calibration according to the Hosmer-Lemeshow goodness-of-fit test.

conclusionsIn older patients undergoing hip or knee replacement, increasing age was independently and robustly associated with POD across multiple analytic approaches. These findings support the use of age as an important factor in perioperative POD risk stratification, while highlighting the need for future studies with richer geriatric phenotyping to address residual confounding.

Indexed as

Arthroplasty, Replacement, HipArthroplasty, Replacement, KneeDeliriumPostoperative ComplicationsAgedAged, 80 and overAge FactorsFemaleHumansMaleRetrospective StudiesRisk FactorsSecondary Data AnalysisAgeArthroplastyOlder adultsPostoperative deliriumRisk factors

Identifiers

PMID42277676
PMCPMC13374235

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