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Risk factor analysis and prediction of postoperative clinically relevant pancreatic fistula after distal pancreatectomy

OBJECTIVE: Postoperative pancreatic fistula (POPF) following distal pancreatectomy (DP) is a serious complication. In the present study, we aimed to identify the risk factors associated with clinically relevant postoperative pancreatic fistula (CR-POPF) and establish a nomogram model for predicting...

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Autores principales: He, Chenchen, Zhang, Yibing, Li, Longfei, Zhao, Mingda, Wang, Chunhui, Tang, Yufu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9835372/
https://www.ncbi.nlm.nih.gov/pubmed/36631791
http://dx.doi.org/10.1186/s12893-023-01907-w
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author He, Chenchen
Zhang, Yibing
Li, Longfei
Zhao, Mingda
Wang, Chunhui
Tang, Yufu
author_facet He, Chenchen
Zhang, Yibing
Li, Longfei
Zhao, Mingda
Wang, Chunhui
Tang, Yufu
author_sort He, Chenchen
collection PubMed
description OBJECTIVE: Postoperative pancreatic fistula (POPF) following distal pancreatectomy (DP) is a serious complication. In the present study, we aimed to identify the risk factors associated with clinically relevant postoperative pancreatic fistula (CR-POPF) and establish a nomogram model for predicting CR-POPF after DP. METHODS: In total, 115 patients who underwent DP at the General Hospital of Northern Theater Command between January 2005 and December 2020 were retrospectively studied. Univariate and multivariable logistic regression analyses were used to identify the independent risk factors associated with CR-POPF. Then, a nomogram was formulated based on the results of multivariable logistic regression analysis. The predictive performance was evaluated with receiver operating characteristic (ROC) curves. Decision curve and clinical impact curve analyses were used to validate the clinical application value of the model. RESULTS: The incidence of CR-POPF was 33.0% (38/115) in the present study. Multivariate logistic regression analysis identified the following variables as independent risk factors for POPF: body mass index (BMI) (OR 4.658, P = 0.004), preoperative albumin level (OR 7.934, P = 0.001), pancreatic thickness (OR 1.256, P = 0.003) and pancreatic texture (OR 3.143, P = 0.021). We created a nomogram by incorporating the above mentioned risk factors. The nomogram model showed better predictive value, with a concordance index of 0.842, sensitivity of 0.710, and specificity of 0.870 when compared to each risk factor. Decision curve and clinical impact curve analyses also indicated that the nomogram conferred a high clinical net benefit. CONCLUSION: Our nomogram could accurately and objectively predict the risk of postoperative CR-POPF in individuals who underwent DP, which could help clinicians with early identification of patients who might develop CR-POPF and early development of a suitable fistula mitigation strategy and postoperative management.
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spelling pubmed-98353722023-01-13 Risk factor analysis and prediction of postoperative clinically relevant pancreatic fistula after distal pancreatectomy He, Chenchen Zhang, Yibing Li, Longfei Zhao, Mingda Wang, Chunhui Tang, Yufu BMC Surg Research OBJECTIVE: Postoperative pancreatic fistula (POPF) following distal pancreatectomy (DP) is a serious complication. In the present study, we aimed to identify the risk factors associated with clinically relevant postoperative pancreatic fistula (CR-POPF) and establish a nomogram model for predicting CR-POPF after DP. METHODS: In total, 115 patients who underwent DP at the General Hospital of Northern Theater Command between January 2005 and December 2020 were retrospectively studied. Univariate and multivariable logistic regression analyses were used to identify the independent risk factors associated with CR-POPF. Then, a nomogram was formulated based on the results of multivariable logistic regression analysis. The predictive performance was evaluated with receiver operating characteristic (ROC) curves. Decision curve and clinical impact curve analyses were used to validate the clinical application value of the model. RESULTS: The incidence of CR-POPF was 33.0% (38/115) in the present study. Multivariate logistic regression analysis identified the following variables as independent risk factors for POPF: body mass index (BMI) (OR 4.658, P = 0.004), preoperative albumin level (OR 7.934, P = 0.001), pancreatic thickness (OR 1.256, P = 0.003) and pancreatic texture (OR 3.143, P = 0.021). We created a nomogram by incorporating the above mentioned risk factors. The nomogram model showed better predictive value, with a concordance index of 0.842, sensitivity of 0.710, and specificity of 0.870 when compared to each risk factor. Decision curve and clinical impact curve analyses also indicated that the nomogram conferred a high clinical net benefit. CONCLUSION: Our nomogram could accurately and objectively predict the risk of postoperative CR-POPF in individuals who underwent DP, which could help clinicians with early identification of patients who might develop CR-POPF and early development of a suitable fistula mitigation strategy and postoperative management. BioMed Central 2023-01-11 /pmc/articles/PMC9835372/ /pubmed/36631791 http://dx.doi.org/10.1186/s12893-023-01907-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
He, Chenchen
Zhang, Yibing
Li, Longfei
Zhao, Mingda
Wang, Chunhui
Tang, Yufu
Risk factor analysis and prediction of postoperative clinically relevant pancreatic fistula after distal pancreatectomy
title Risk factor analysis and prediction of postoperative clinically relevant pancreatic fistula after distal pancreatectomy
title_full Risk factor analysis and prediction of postoperative clinically relevant pancreatic fistula after distal pancreatectomy
title_fullStr Risk factor analysis and prediction of postoperative clinically relevant pancreatic fistula after distal pancreatectomy
title_full_unstemmed Risk factor analysis and prediction of postoperative clinically relevant pancreatic fistula after distal pancreatectomy
title_short Risk factor analysis and prediction of postoperative clinically relevant pancreatic fistula after distal pancreatectomy
title_sort risk factor analysis and prediction of postoperative clinically relevant pancreatic fistula after distal pancreatectomy
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9835372/
https://www.ncbi.nlm.nih.gov/pubmed/36631791
http://dx.doi.org/10.1186/s12893-023-01907-w
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