Publications by authors named "Pongsathorn Piebpien"
Article Synopsis
- The study aimed to validate and improve the SENIC model for predicting surgical site infections (SSIs) using logistic regression and machine learning techniques, focusing on patients who had gastrointestinal, colorectal, and hernia surgeries.
- After analyzing data from over 12,000 surgeries, the original SENIC model showed a modest predictive capacity (C-statistic of 0.668), while an updated version using six predictors improved its accuracy (C-statistic of 0.768).
- Machine learning models using more predictors performed worse than the updated logistic regression model and showed signs of overfitting, suggesting that the updated SENIC model is more reliable for assessing SSI risk after abdominal surgery.
Background: Management of COVID-19 patients with mild and moderate symptoms could be isolated at home isolation (HI), community isolation (CI) or hospitel. However, it was still unclear which strategy was more cost-effective. Therefore, this study was conducted to evaluate this.
View Article and Find Full Text PDFBackground: Incisional hernia (IH) manifests in 10%-15% of abdominal surgeries and patients at elevated risk of this complication should be identified for prophylactic intervention. This study aimed to externally validate the Penn hernia risk calculator.
Methods: The Ramathibodi abdominal surgery cohort was constructed by linking relevant hospital databases from 2010 to 2021.
What Is Known And Objective: Carbapenem-resistant Enterobacteriaceae (CRE) are virulent gram-negative bacilli and cause urgent healthcare problems worldwide. One of the main factors leading to the emergence of CRE is antimicrobial consumption. The objective of this study was to assess how closely the rate of antimicrobial consumption and the prevalences of carbapenem-resistant Escherichia coli (CR-EC) and carbapenem-resistant Klebsiella pneumoniae (CR-KP) are correlated.
View Article and Find Full Text PDFWe aimed to report the coverage and safety of the influenza A (H1N1) 2009 monovalent vaccination (Panenza; Sanofi Pasteur, Val de Reuil Cedex, France) among health care personnel (HCP) in a university hospital setting in Thailand. The hospital set up a system to vaccinate HCP and did surveillance of the adverse effects (AEs). During a 4-week period, 6,210 (78.
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