Evidence map›Paper›PMID 42374296›Full record

ArticleBMC surgery2026

Analysis of risk factors for perioperative hypothermia in patients undergoing spinal trauma surgery.

Wu Ruimin, Li Yaqiu, Dilinuer Tusentuheti, Yang Sifan, Wu Ruitian

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Article in BMC surgery, 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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5 · Who and what money

Authors and funding

5 authors.

Wu RuiminXinjiang 474 Hospital, Xinjiang Uygur Autonomous Region, Urumqi, 830000, People's Republic Of China.
Li YaqiuXinjiang 474 Hospital, Xinjiang Uygur Autonomous Region, Urumqi, 830000, People's Republic Of China. 1477794587@qq.com.
Dilinuer TusentuhetiXinjiang 474 Hospital, Xinjiang Uygur Autonomous Region, Urumqi, 830000, People's Republic Of China.
Yang SifanXinjiang 474 Hospital, Xinjiang Uygur Autonomous Region, Urumqi, 830000, People's Republic Of China.
Wu RuitianXinjiang 474 Hospital, Xinjiang Uygur Autonomous Region, Urumqi, 830000, People's Republic Of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo investigate the independent risk factors for perioperative hypothermia in patients undergoing spinal trauma surgery, and to provide evidence-based support for developing targeted preventive strategies.

methodsA retrospective cohort study was conducted, including 222 patients who underwent spinal trauma surgery at a single hospital between January 2022 and December 2024. Patients were divided into a hypothermia group (n = 98) and a non-hypothermia group (n = 124) based on whether perioperative hypothermia (core body temperature < 36.0 °C) occurred. Data on patient demographics, clinical characteristics, surgical parameters, and temperature management measures were collected. Univariate analysis was first performed to compare differences between the groups. Variables with statistical significance in the univariate analysis were then included in a multivariate Logistic regression model (forward stepwise method) to identify independent risk factors. Sensitivity analysis was conducted to test the robustness of the results.

resultsMultivariate Logistic regression analysis showed that age ≥ 60 years (OR = 5.00, 95% CI: 2.24-11.16, P < 0.001), BMI ≤ 24 kg/m² (OR = 2.98, 95% CI: 1.36-6.52, P = 0.006), operation time ≥ 4 h (OR = 4.37, 95% CI: 1.58-12.09, P = 0.005), intraoperative blood loss ≥ 200 mL (OR = 3.74, 95% CI: 1.45-9.66, P = 0.007), intraoperative fluid infusion ≥ 3500 mL (OR = 5.64, 95% CI: 1.99-15.98, P < 0.001), and the use of physical warming alone (compared to combined physical and pharmacological warming) (OR = 2.20, 95% CI: 1.05-4.60, P = 0.036) were independently associated with perioperative hypothermia. Sensitivity analysis confirmed the robustness of these associations.

conclusionIn this retrospective cohort, advanced age, low BMI, prolonged operation time, significant intraoperative blood loss and fluid infusion, and the use of single‑method physical warming were independently associated with perioperative hypothermia in patients undergoing spinal trauma surgery. These associations do not imply causality due to the observational design and potential residual confounding. Prospective studies, particularly randomized controlled trials where ethically and practically feasible, are needed to confirm causal relationships. Clinicians may use them for risk stratification but should not assume direct protective effects of specific interventions.

Indexed as

HypothermiaIntraoperative ComplicationsSpinal InjuriesAdultAgedFemaleHumansMaleMiddle AgedOperative TimePerioperative PeriodRetrospective StudiesRisk FactorsAgedBlood lossBody mass indexFluid therapyPerioperative hypothermiaSpinal trauma surgeryWarming methods

Identifiers

PMID42374296
PMCPMC13576361

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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.