ArticleJournal of anesthesia2019
What is the predictor of the intraoperative body temperature in abdominal surgery?
Article in Journal of anesthesia, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed, 14 citations in OpenAlex.
- Underbody blankets have a higher heating effect than overbody blankets in lithotomy position endoscopic surgery under general anesthesia: a randomized trial.Surgical endoscopy · 2022Trial
- A multicenter predictive model for inadvertent intraoperative hypothermia management in elderly patients in Southwest China.Scientific reports · 2026Article
- Intraoperative hypothermia in patients with laparoscopic surgery: Influencing factors and prevention strategies.Heliyon · 2024Article
- Correlation between the Perfusion Index and Intraoperative Hypothermia: A Prospective Observational Pilot Study.Medicina (Kaunas, Lithuania) · 2021Observational
Corrections and comments
- Erratum issued
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeInadvertent hypothermia is a relatively common intraoperative complication. Few studies have investigated predictors of body temperature change or the effect of the blanket type used with a forced-air warming device during the intraoperative period. We investigated the predictive factors of intraoperative body temperature change in scheduled abdominal surgery.
methodsWe retrospectively reviewed the data from 2574 consecutive adult patients who underwent scheduled abdominal surgery in the supine position. Temperature data were collected from anesthesia records. Multiple regression analysis was performed at 60, 120, and 180 min after the surgical incision to identify the factors influencing body temperature change. We conducted nonlinear regression analysis using the equation ΔT = α (e
resultsThe intraoperative core temperature change was explained by the equation ΔT = 0.59 (e
conclusionsThe blanket type of the forced-air warmer, age, sex, laparoscopic surgery, and BMI are predictors of intraoperative core temperature change.
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