ArticleScandinavian journal of trauma, resuscitation and emergency medicine2026
Early clinical predictors of amputation in frostbite: injury depth and extent for admission risk stratification.
Article in Scandinavian journal of trauma, resuscitation and emergency medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEarly identification of patients at high risk of amputation remains a major challenge in frostbite management, particularly in resource-limited settings where advanced imaging may not be readily available. We aimed to identify admission predictors of amputation in a predominantly migrant frostbite cohort and secondarily evaluated the prognostic value of the Prognostic Nutritional Index (PNI) and neutrophil-to-lymphocyte ratio (NLR).
methodsWe conducted a retrospective cohort study of consecutive patients admitted with frostbite to a tertiary referral hospital in eastern Turkey between January 2020 and December 2025. Demographic, clinical, and laboratory variables recorded at admission were compared between patients with and without amputation. Predictive performance was evaluated using receiver operating characteristic (ROC) analysis and multivariable logistic regression. Because frostbite degree demonstrated quasi-complete separation with the outcome, its independent effect was assessed using Firth penalized logistic regression.
resultsA total of 128 patients were included, of whom 126 (98.4%) were foreign nationals. Amputation was performed in 54 patients (42.2%). Frostbite degree was the strongest admission predictor of amputation, with 53 of 65 patients (81.5%) with third-degree frostbite requiring amputation compared with only 1 of 63 patients (1.6%) with first- or second-degree injuries (AUC 0.910, 95% CI 0.864-0.956). Frostbite extent (%TBSA) remained independently associated with amputation in multivariable analysis (adjusted OR 2.23, 95% CI 1.59-3.32; p < 0.001), and combining frostbite degree with %TBSA achieved the highest predictive performance (AUC 0.948, 95% CI 0.910-0.985). Although CRP, NLR, albumin, and PNI differed significantly between groups in univariable analyses, none remained independent predictors after adjustment for injury severity.
conclusionsIn patients with frostbite, admission risk of amputation is primarily determined by injury depth and extent. Simple bedside assessment of frostbite degree and %TBSA provides robust early risk stratification, whereas inflammatory and nutritional biomarkers offer limited additional prognostic value beyond clinical evaluation. These findings may facilitate early identification of patients at high risk of amputation, particularly in resource-limited emergency settings and regions managing migration-related cold injuries.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.