Predicting surgical resource consumption and in-hospital mortality in resource-scarce conflict settings: a retrospective study

BMC Emergency Medicine

Johan von Schreeb¹  Måns Muhrbeck²  Andreas Wladis²  Peter Andersson³  Zaher Osman⁴ 

[1] Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden;Department of Surgery in Norrköping, and Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden;Center for Disaster Medicine and Traumatology, University Hospital, Linköping, Sweden;Department of Surgery in Norrköping, and Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden;International Medical Programme, Center for Disaster Medicine and Traumatology, University Hospital, Linköping, Sweden;International Committee of the Red Cross, Geneva, Switzerland;

关键词: Armed conflicts;    Health resources;    Penetrating wounds;   

DOI  :  10.1186/s12873-021-00488-2

来源: Springer

【 摘 要 】

BackgroundIn armed conflicts, civilian health care struggles to cope. Being able to predict what resources are needed is therefore vital. The International Committee of the Red Cross (ICRC) implemented in the 1990s the Red Cross Wound Score (RCWS) for assessment of penetrating injuries. It is unknown to what extent RCWS or the established trauma scores Kampala trauma Score (KTS) and revised trauma score (RTS) can be used to predict surgical resource consumption and in-hospital mortality in resource-scarce conflict settings.MethodsA retrospective study of routinely collected data on weapon-injured adults admitted to ICRC’s hospitals in Peshawar, 2009–2012 and Goma, 2012–2014. High resource consumption was defined as ≥3 surgical procedures or ≥ 3 blood-transfusions or amputation. The relationship between RCWS, KTS, RTS and resource consumption, in-hospital mortality was evaluated with logistic regression and adjusted area under receiver operating characteristic curves (AUC). The impact of missing data was assessed with imputation. Model fit was compared with Akaike Information Criterion (AIC).ResultsA total of 1564 patients were included, of these 834 patients had complete data. For high surgical resource consumption AUC was significantly higher for RCWS (0.76, 95% CI 0.74–0.78) than for KTS (0.53, 95% CI 0.50–0.56) and RTS (0.51, 95% CI 0.48–0.54) for all patients. Additionally, RCWS had lower AIC, indicating a better model fit. For in-hospital mortality AUC was significantly higher for RCWS (0.83, 95% CI 0.79–0.88) than for KTS (0.71, 95% CI 0.65–0.76) and RTS (0.70, 95% CI 0.63–0.76) for all patients, but not for patients with complete data.ConclusionRCWS appears to predict surgical resource consumption better than KTS and RTS. RCWS may be a promising tool for planning and monitoring surgical care in resource-scarce conflict settings.

【 授权许可】

CC BY