ArticleTranslational cancer research2020
A newly improved POSSUM scoring system for prediction of morbidity in patients with pancreaticoduodenectomy.
Article in Translational cancer research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- A Comparison of Preoperative Predictive Scoring Systems for Postoperative Pancreatic Fistula after Pancreaticoduodenectomy Based on a Single-Center Analysis.Journal of clinical medicine · 2024Article
- Predictive value of POSSUM scoring system for postoperative complications and mortality in elderly patients with colorectal cancer.Technology and health care : official journal of the European Society for Engineering and Medicine · 2024Article
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Authors and funding
6 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundPostoperative morbidity of pancreaticoduodenectomy (PD) is still prevalent in hospitals around the world all over the world. Chirurgia B and Chen Yingtai
methodsData was gathered from 201 patients who underwent PD procedure at No.4 Hospital of Hebei Medical University between January 2016 and December 2018. All 201 patients were included in the modeling group. The morbidity and associated risk factors were collected and analyzed. The risk factors of complication were investigated by the Pearson χ
resultsMorbidity was 45.5% for the 201 patients. Multivariate logistic regression analysis demonstrated a significant connection between postoperative complications and body mass index (BMI) [odd ratio (OR): 3.700; 95% confidence interval (95% CI): 1.594-4.572], pre-existing respiratory diseases (OR: 3.000; 95% CI: 1.542-5.837), international normalized ratio of prothrombin time (OR: 0.321; 95% CI: 0.099-1.038), alanine aminotransferase (OR: 0.573; 95% CI: 0.375-0.874); total bilirubin level (OR: 1.477; 95% CI: 1.068-2.043); diameter of pancreatic duct (OR: 1.837; 95% CI: 1.221-2.763) and diameter of tumor diameter (OR: 1.837; 95% CI: 1.221-2.763).
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