A case-control study of risk factors for survival after laparotomy in patients with pancreatic trauma

ASIAN JOURNAL OF SURGERY(2022)

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Abstract
Background: Pancreatic trauma results in significant morbidity and mortality. However, few studies have investigated the postoperative prognostic factors in patients with pancreatic trauma. Material and methods: A retrospective study was conducted on consecutive patients with pancreatic trauma who underwent surgery in a national referral trauma center. Clinical data were retrieved from the electronic medical system. Univariate and binary logistic regression analyses were performed to identify the perioperative clinical parameters that may predict the factors of mortality of the patients. Results: A total of 150 patients underwent laparotomy due to pancreatic trauma during the study period. 128(85.4%) patients survived and 22 (14.6%) patients died due to pancreatic injury (10 patients died of recurrent intra-abdominal active hemorrhage and 12 died of multiple organ failure). Univariate analysis showed that age, hemodynamic status, and injury severe score (ISS) as well as postoperative serum levels of C-reactive protein (CRP), procalcitonin, albumin, creatinine and the volume of intraoperative blood transfusion remained strongly predictive of mortality (P < 0.05). Binary logistic regression analysis showed that the independent risk factors for prognosis after pancreatic trauma were age (P = 0.010), preoperative hemodynamic instability (P = 0.015), postoperative CRP >= 154 mg/L (P = 0.014), and postoperative serum creatinine >= 177 mu mol/L (P = 0.027). Conclusions: In this single-center retrospective study, we demonstrated that preoperative hemodynamic instability, severe postoperative inflammation (CRP >= 154 mg/L) and acute renal failure (creatinine >= 177 mu mol/L) were associated with a significant risk of mortality after pancreatic trauma. (C) 2021 Asian Surgical Association and Taiwan Robotic Surgery Association. Publishing services by Elsevier B.V.
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Key words
Pancreatic trauma,Prognosis,Risk factor,Logistic regression analysis
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