Evidence map›Paper›PMID 42432772›Full record

ArticleKnee surgery & related research2026

Perioperative risk stratification for periprosthetic joint infection after primary total knee arthroplasty: a case-matched cohort study incorporating serum albumin, glycemic status, and intraoperative hypothermia.

Yung-Fong Tsai, Yu-Hong Ng, Shu-Yu Yeh, Yu-Hsun Sun, Huan-Tang Lin, Yu-Fang Liu, Shao-Chun Wu

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Article in Knee surgery & related research, 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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7 authors.

Yung-Fong TsaiDepartment of Anesthesiology, Chang Gung Memorial Hospital, Linkou Branch, Taoyuan, Taiwan.
Yu-Hong NgCollege of Medicine, Chang Gung University, Taoyuan, Taiwan.
Shu-Yu YehCollege of Medicine, Chang Gung University, Taoyuan, Taiwan.
Yu-Hsun SunDepartment of Anesthesiology, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan.
Huan-Tang LinDepartment of Anesthesiology, Chang Gung Memorial Hospital, Linkou Branch, Taoyuan, Taiwan.
Yu-Fang LiuDepartment of Anesthesiology, China Medical University Hospital, Taichung, Taiwan.
Shao-Chun WuCollege of Medicine, Chang Gung University, Taoyuan, Taiwan. shaochunwu@gmail.com.ORCID https://orcid.org/0000-0002-0984-6921

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6 · The paper itself

Abstract

backgroundPeriprosthetic joint infection (PJI) remains a serious complication of primary total knee arthroplasty (TKA). This study investigated independent and combined associations of serum albumin, preoperative blood glucose, and intraoperative lowest body temperature (LBT) with PJI within 1 year after primary TKA. MATERIALS AND

methodsThis retrospective case-matched cohort study enrolled 312 patients (57 PJI cases, 255 controls) from 4319 screened undergoing primary TKA. Cases were matched 1:5 to controls by operating surgeon and year of surgery (frequency matching). Infection was defined by 2018 International Consensus Meeting criteria. Multivariable logistic regression (seven covariates, events-per-variable = 8.1) and receiver operating characteristic (ROC) analysis identified independent predictors and assessed discrimination. Two composite models were constructed using ROC-derived cutoffs: a two-factor preoperative model (serum albumin ≤ 4.1 g/dL + blood glucose ≥ 147 mg/dL) and a three-factor perioperative model additionally incorporating LBT ≤ 35.5 °C.

resultsOf 4319 patients, 57 (1.3%) developed PJI. Lower serum albumin was associated with higher infection odds (odds ratio (OR) 0.87 per 0.1 g/dL, 95% confidence interval (CI) 0.78-0.97; p = 0.010); blood glucose with increased risk (OR 1.01 per mg/dL, 95% CI 1.00-1.02; p = 0.014); and LBT ≤ 35.5 °C with significantly increased risk (OR 2.65, 95% CI 1.40-5.02; p = 0.003). The two-factor (area under the curve (AUC) = 0.63) and three-factor (AUC = 0.69) models showed stepwise PJI gradients across cumulative strata; the adjusted multivariable model achieved AUC = 0.71 (95% CI 0.63-0.79).

conclusionsSerum albumin, blood glucose, and intraoperative LBT are independent modifiable predictors of PJI after primary TKA. A two-factor preoperative model (albumin + glucose) supports preoperative screening; a three-factor model adding LBT provides intraoperative surveillance for structured normothermia protocols. These exploratory cutoffs were derived from a single-center cohort and require external multicenter validation before clinical implementation.

Indexed as

HypothermiaIntraoperative temperaturePeriprosthetic joint infectionRisk stratificationTotal knee arthroplasty

Identifiers

PMID42432772
PMCPMC13355362

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.