Observational studyMedicine2017
A nomogram prediction of postoperative surgical site infections in patients with perihilar cholangiocarcinoma.
Observational study in Medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.
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Who cites it
12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 23 citations in OpenAlex.
- Systematic review of risk prediction models for surgical site infection after abdominal surgery in adults.Frontiers in public health · 2026Pooled it
- Risk prediction model for surgical site infection in patients with gastrointestinal cancer: a systematic review and meta-analysis.World journal of surgical oncology · 2025Pooled it
- Prediction model for unplanned extubation of thoracoabdominal drainage tube in postoperative inpatients: a retrospective study.European journal of medical research · 2025Article
- Predictive models for sepsis in children with Staphylococcus aureus bloodstream infections: a retrospective cohort study.BMC pediatrics · 2023Article
- A nomogram to predict postoperative surgical site infection of adult patients who received orthopaedic surgery: a retrospective study.Scientific reports · 2023Article
- Predicting medication nonadherence risk in the Chinese type 2 diabetes mellitus population - establishment of a new risk nomogram model: a retrospective study.The Journal of international medical research · 2021Article
- Prognostic Nomogram That Predicts Overall Survival of Patients with Distal Cholangiocarcinoma After Pancreatoduodenectomy.Cancer management and research · 2020Article
- Clinical Efficacy Analysis of the Combination of the Laparoscope and Preoperative or Intraoperative Duodenoscope in the Treatment of Cholecystolithiasis with Choledocholithiasis: A Retrospective Study.Journal of laparoendoscopic & advanced surgical techniques. Part A · 2019Article
- Nomogram to predict prolonged postoperative ileus after gastrectomy in gastric cancer.World journal of gastroenterology · 2019Article
- Predicting surgical site infections using a novel nomogram in patients with hepatocelluar carcinoma undergoing hepatectomy.World journal of clinical cases · 2019Article
- An interactive nomogram to predict healthcare-associated infections in ICU patients: A multicenter study in GuiZhou Province, China.PloS one · 2019Article
- Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Surgical site infection (SSI) is one of the major morbidities after radical resection for perihilar cholangiocarcinoma (PHCC). This study aimed to clarify the risk factors and construct a nomogram to predict SSIs in patients with PHCC.A total of 335 consecutive patients who underwent hepatectomy combined with hepaticojejunostomy between January 2013 and December 2015 were analyzed retrospectively. SSIs, including incisional (superficial and deep) and space/organ infection, were defined according to the Centers for Disease Control and Prevention (CDC)'s National Nosocomial Infection Surveillance (NNIS) system. Risk factors associated with postoperative SSIs were analyzed by univariate and multivariate analyses. A nomogram was developed on the basis of results from the multivariate logistic model and the discriminatory ability of the model was analyzed.PHCC patients had higher organ/space SSI rate than incisional SSI rate after radical resection. Multivariate analysis showed that risk factors indicating postoperative overall SSIs (incisional and organ/space) included coexisting cholangiolithiasis [odds ratio (OR): 6.77; 95% confidence interval (95% CI): 2.40-19.11; P < .001], blood loss >1500 mL (OR: 4.77; 95% CI: 1.45-15.65; P = .010), having abdominal surgical history (OR: 5.85; 95% CI: 1.91-17.97; P = .002), and bile leakage (OR: 15.28; 95% CI: 5.90-39.62; P < .001). The β coefficients from the multivariate logistic model were used to construct the model for estimation of SSI risk. The scoring model was as follows: -4.12 +1.91 × (coexisting cholangiolithiasis = 1) + 1.77 × (having previous abdominal surgical history = 1) +1.56 × (blood loss >1500 mL = 1) + 2.73 × (bile leakage = 1). The discriminatory ability of the model was good and the area under the receiver operating characteristic (ROC) curve (AUC) was 0.851.In PHCC patients, there may be a relationship between postoperative SSIs and abdominal surgical history, coexisting cholangiolithiasis, bile leakage, and blood loss. The nomogram can be used to estimate the risk of postoperative SSIs in patients with PHCC.
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