Background: Sepsis has become the most common postoperative complication caused by major surgery. Early diagnosis of sepsis is very important to know the patient's prognosis and survival. Changes in mean platelet volume (MPV) and platelet distribution width (PDW) were assessed to have a relationship with the incidence of sepsis. The use of MPV and PDW platelet preoperative indicators is expected to help predict sepsis so that appropriate interventions can be given immediately.
Methods: A total of 50 patients who met the inclusion criteria became the subjects of this study to determine the potential of MPV and PDW preoperative biomarkers for predicting sepsis in laparotomy patients. All blood tests for the diagnosis of sepsis were examined. Spearman's test and ROC curve were performed for statistical calculations to determine the cut-off point for MPV and PDW.
Results: Analysis of the relationship between PDW and MPV values as an indicator of sepsis using the Spearman test found a significant relationship between MPV and PDW on the incidence of sepsis (p<0.05). Furthermore, statistical tests using the ROC area under the curve (AUC) curve, MPV levels were 0.968, which indicates that if MPV were examined in 100 patients, it would predict sepsis in 96 patients. Meanwhile, the AUC of PDW is 0.770, which shows that if MPV examination is performed in 100 patients, it will predict sepsis in 77 patients. . The best cut-off point that the researchers got in this study was MPV levels 9.8 fL (sensitivity 93.3% and specificity 85%) and PDW levels 9.45 fL (70% sensitivity and 70% specificity).
Conclusion: Preoperative MPV and PDW can be predictive indicators of sepsis in laparotomy surgery, with MPV sensitivity and specificity of 93.3% and 85% and sensitivity and specificity of PDW of 70% and 70%, respectively.