Development and validation of a nomogram for early prediction of splenic infarction after minimally invasive spleen-preserving distal pancreatectomy: A single-center retrospective cohort study.
OpenAlex 토픽 ·
Pancreatic and Hepatic Oncology Research
Abdominal Trauma and Injuries
Hepatocellular Carcinoma Treatment and Prognosis
[BACKGROUND] Minimally invasive spleen-preserving distal pancreatectomy is recognized as a standard procedure for benign pancreatic tumors but carries a substantial risk of splenic infarction.
- 표본수 (n) 70
- p-value P = .043
- p-value P < .001
- 연구 설계 cohort study
APA
Shuo Zhou, Mingyue Chen, et al. (2026). Development and validation of a nomogram for early prediction of splenic infarction after minimally invasive spleen-preserving distal pancreatectomy: A single-center retrospective cohort study.. Surgery, 193, 110110. https://doi.org/10.1016/j.surg.2026.110110
MLA
Shuo Zhou, et al.. "Development and validation of a nomogram for early prediction of splenic infarction after minimally invasive spleen-preserving distal pancreatectomy: A single-center retrospective cohort study.." Surgery, vol. 193, 2026, pp. 110110.
PMID
41713107
Abstract
[BACKGROUND] Minimally invasive spleen-preserving distal pancreatectomy is recognized as a standard procedure for benign pancreatic tumors but carries a substantial risk of splenic infarction. This study aimed to develop and validate an effective clinical model for risk prediction of splenic infarction after spleen-preserving distal pancreatectomy to guide clinical management.
[METHODS] This retrospective cohort study analyzed 397 patients undergoing minimally invasive spleen-preserving distal pancreatectomy between January 2020 and June 2024. Patients were categorized into splenic infarction (n = 70) and nonsplenic infarction (n = 327) groups based on routine postoperative computed tomography findings within 3 days. Predictors were selected using least absolute shrinkage and selection operator regression, and a multivariate logistic regression was used to develop a predictive nomogram model. The model underwent internal validation (1,000 bootstrap resamples) and was evaluated using receiver operating characteristic curves, calibration plots, and decision curve analysis. Temporal validation was performed using a later, independent cohort (n = 156) from the same center.
[RESULTS] The research encompassed data from 397 consecutive patients who underwent minimally invasive spleen-preserving distal pancreatectomy. Univariate and multivariate analysis identified 4 independent predictors of splenic infarction: older age (odds ratio, 1.019; 95% confidence interval [CI], 1.001-1.038; P = .043), longer operative time (odds ratio, 1.008; 95% confidence interval, 1.004-1.012; P < .001), Warshaw technique (odds ratio, 4.304; 95% confidence interval, 2.257-8.208; P < .001), and laparoscopic approach (odds ratio, 2.051; P = .019). The nomogram demonstrated good discrimination with an area under the curve of 0.781 (95% confidence interval, 0.722-0.840) and was well calibrated (Hosmer-Lemeshow test, P = .502). Decision curve analysis confirmed the model's clinical utility across a wide threshold probability range. The temporal validation demonstrated that splenic infarction increases the risk of major postoperative complications (Clavien-Dindo grade ≥III).
[CONCLUSION] The validated nomogram effectively predicts the splenic infarction risk after minimally invasive spleen-preserving distal pancreatectomy, providing clinicians with a practical tool for guiding postoperative monitoring and personalizing patient management.
[METHODS] This retrospective cohort study analyzed 397 patients undergoing minimally invasive spleen-preserving distal pancreatectomy between January 2020 and June 2024. Patients were categorized into splenic infarction (n = 70) and nonsplenic infarction (n = 327) groups based on routine postoperative computed tomography findings within 3 days. Predictors were selected using least absolute shrinkage and selection operator regression, and a multivariate logistic regression was used to develop a predictive nomogram model. The model underwent internal validation (1,000 bootstrap resamples) and was evaluated using receiver operating characteristic curves, calibration plots, and decision curve analysis. Temporal validation was performed using a later, independent cohort (n = 156) from the same center.
[RESULTS] The research encompassed data from 397 consecutive patients who underwent minimally invasive spleen-preserving distal pancreatectomy. Univariate and multivariate analysis identified 4 independent predictors of splenic infarction: older age (odds ratio, 1.019; 95% confidence interval [CI], 1.001-1.038; P = .043), longer operative time (odds ratio, 1.008; 95% confidence interval, 1.004-1.012; P < .001), Warshaw technique (odds ratio, 4.304; 95% confidence interval, 2.257-8.208; P < .001), and laparoscopic approach (odds ratio, 2.051; P = .019). The nomogram demonstrated good discrimination with an area under the curve of 0.781 (95% confidence interval, 0.722-0.840) and was well calibrated (Hosmer-Lemeshow test, P = .502). Decision curve analysis confirmed the model's clinical utility across a wide threshold probability range. The temporal validation demonstrated that splenic infarction increases the risk of major postoperative complications (Clavien-Dindo grade ≥III).
[CONCLUSION] The validated nomogram effectively predicts the splenic infarction risk after minimally invasive spleen-preserving distal pancreatectomy, providing clinicians with a practical tool for guiding postoperative monitoring and personalizing patient management.
MeSH Terms
Humans; Pancreatectomy; Nomograms; Retrospective Studies; Female; Male; Middle Aged; Aged; Splenic Infarction; Postoperative Complications; Pancreatic Neoplasms; Organ Sparing Treatments; Minimally Invasive Surgical Procedures; Spleen; Adult; Tomography, X-Ray Computed; Risk Assessment; Risk Factors
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