Published online Jun 7, 2019. doi: 10.3748/wjg.v25.i21.2650
Peer-review started: February 27, 2019
First decision: March 14, 2019
Revised: April 24, 2019
Accepted: May 3, 2019
Article in press: May 8, 2019
Published online: June 7, 2019
Processing time: 99 Days and 22.7 Hours
Pancreaticoduodenectomy (PD) is associated with significant postoperative morbidity. Clinically relevant postoperative pancreatic fistula (CR-POPF) is among the most common complications after PD and may have serious consequences for the patients. Factors such as age, body mass index, preoperative serum total bilirubin, operative time, operative blood loss, pancreatic duct diameter, and pancreatic texture are known to influence the occurrence of CR-POPF.
Both preoperative and intraoperative variables should be included in the same model for the prediction of CR-POPF, but the available models do not incorporate both preoperative and intraoperative variables.
This study aimed to construct a new risk scoring system for CR-POPF that include both preoperative and intraoperative factors.
This was a retrospective study of patients who underwent PD or pylorus-preserving PD (PPPD) between January 2011 and December 2016 at the First Affiliated Hospital of Soochow University. Patients were divided into a study (01/2011 to 12/2014) or validation (01/2015 to 12/2016) group according to the time of admission. POPF severity was classified into three grades: Biochemical leak (grade A) and CR-POPF (grades B and C). Logistic regression was used to create a predictive scoring system.
Preoperative serum albumin ≥ 35 g/L [P = 0.032, odds ratio (OR) = 0.92, 95% confidence interval (CI): 0.85-0.99], hard pancreatic texture (P = 0.004, OR = 0.25, 95%CI: 0.10-0.64), pancreatic duct diameter ≥ 3 mm (P = 0.029, OR = 0.50, 95%CI: 0.27-0.93), and intraoperative blood loss ≥ 500 mL (P = 0.006, OR = 1.002, 95%CI: 1.001-1.003) were independently associated with CR-POPF. We established a 10-point risk scoring system to predict CR-POPF. The area under the curve was 0.821 (95%CI: 0.736-0.905) and the cut-off value was 3.5. Including drain amylase levels improved the predictive power of the model. Taken together, these results suggest that this 10-point risk scoring system could predict CR-POPF after PD/PPPD.
The present study established a 10-point scoring system to predict CR-POPF after PD/PPPD using preoperative and intraoperative parameters. Ultimately, this system could be used to distinguish between high- and low-risk populations in order to facilitate timely interventions after PD.
This system is original and has not been proposed before. Nevertheless, this scoring system will have to be validated prospectively. We hypothesize that this risk scoring system will effectively predict CR-POPF in clinical practice.