European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2023
Surgical site infection following fasciotomy in patients with acute forearm compartment syndrome: a retrospective analysis of risk factors.
СтатьяНазвание и аннотация: Перевод в очереди
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An Ming, Jia Ruili, Qi Hui, Wang Shuai, Ren Jingtian, Long Yubin
Аннотация
PURPOSE: Fasciotomy, a standard therapy for acute forearm compartment syndrome (AFCS), can prevent serious complications, but there may be significant postoperative consequences. Surgical site infection (SSI) may cause fever, discomfort, and potentially fatal sepsis. This study aimed to identify risk factors for SSI in AFCS patients who had undergone fasciotomy.
MATERIALS AND METHODS: Patients with AFCS who had fasciotomies between November 2013 and January 2021 were recruited. We collected demographic information, comorbidities, and admission laboratory results. Analyses of continuous data were conducted using the t-test, the Mann-Whitney U test, and logistic regression analysis, while analyses of categorical data were conducted using the Chi-square and Fisher's exact tests.
RESULTS: Sixteen AFCS patients (13.9%) suffered infections that need further therapy. Using the logistic regression analysis, we identified that patients with a history of diabetes (p = 0.028, OR = 16.353, 95% CI (1.357, 197.001)), open fractures (p = 0.026, OR = 5.239, 95% CI (1.223, 22.438)), and a higher level of TC (p = 0.004, OR = 4.871, 95% CI (1.654-14.350)) were the best predictors of SSI, while ALB levels (p = 0.004, OR = 0.776, 95% CI (0.653-0.924)) were protective for SSI in AFCS patients.
CONCLUSIONS: Our results showed that open fractures, diabetes, and TC levels were relevent risk factors for SSI following fasciotomy in patients with AFCS, allowing us to personalize the risk assessment and apply early targeted interventions.
MATERIALS AND METHODS: Patients with AFCS who had fasciotomies between November 2013 and January 2021 were recruited. We collected demographic information, comorbidities, and admission laboratory results. Analyses of continuous data were conducted using the t-test, the Mann-Whitney U test, and logistic regression analysis, while analyses of categorical data were conducted using the Chi-square and Fisher's exact tests.
RESULTS: Sixteen AFCS patients (13.9%) suffered infections that need further therapy. Using the logistic regression analysis, we identified that patients with a history of diabetes (p = 0.028, OR = 16.353, 95% CI (1.357, 197.001)), open fractures (p = 0.026, OR = 5.239, 95% CI (1.223, 22.438)), and a higher level of TC (p = 0.004, OR = 4.871, 95% CI (1.654-14.350)) were the best predictors of SSI, while ALB levels (p = 0.004, OR = 0.776, 95% CI (0.653-0.924)) were protective for SSI in AFCS patients.
CONCLUSIONS: Our results showed that open fractures, diabetes, and TC levels were relevent risk factors for SSI following fasciotomy in patients with AFCS, allowing us to personalize the risk assessment and apply early targeted interventions.