Ahmet Cihangir Emral, Gökay Çetinkaya, Kürşat Dikmen, Mustafa Kerem
{"title":"“真实淀粉酶值”的预测效果:更准确地预测术后胰瘘。","authors":"Ahmet Cihangir Emral, Gökay Çetinkaya, Kürşat Dikmen, Mustafa Kerem","doi":"10.1111/ans.70276","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>Postoperative pancreatic fistula (POPF) is a common and serious complication following pancreatic surgery. While several studies have attempted to predict the development of POPF using drain amylase concentration, predictive values vary widely due to factors like abdominal irrigation and chylous drainage, which can dilute the amylase levels. This study aims to evaluate whether the “Real Amylase Value” (RAV), calculated as the product of drain amylase concentration and drainage volume, provides a more reliable prediction of POPF compared to conventional amylase concentration. Better prediction of pancreatic fistula development could lead to closer clinical monitoring of these patients, reassessment of hospital stay duration, and more careful management of drains over an extended period. Additionally, carefully managing the timing of drain removal may improve patient recovery and discharge process.</p>\n </section>\n \n <section>\n \n <h3> Methodology</h3>\n \n <p>Data from 198 patients who underwent pancreaticoduodenectomy (PD) and distal pancreatectomy (DP) were retrospectively analyzed. Drain amylase concentrations and drainage volumes were measured on postoperative days (POD) 1 and 3, and the RAV (U) was calculated. Real Amylase Value (RAV) (U) was calculated using the formula: RAV (U) = Drain Amylase Concentration (U/L) × Drainage Amount (L). Predictive values for POPF were evaluated using receiver operating characteristic (ROC) curve analysis, comparing conventional amylase concentration (U/L) and RAV (U).</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>On POD1, the RAV (U) demonstrated greater predictive value for POPF compared to the conventional drain amylase concentration (U/L) with an area under the ROC curve (AUROC) of 0.85 versus 0.79, respectively. Similarly, on POD3, RAV showed superior predictive accuracy (AUROC 0.89) compared to amylase concentration (AUROC 0.79).</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>The RAV (U) offers a more accurate and reliable prediction of POPF than traditional drain amylase concentration (U/L), with improved sensitivity and specificity. This method could refine clinical management, particularly in the timing of drain removal and early intervention strategies for patients at high risk of developing pancreatic fistulas.</p>\n </section>\n </div>","PeriodicalId":8158,"journal":{"name":"ANZ Journal of Surgery","volume":"95 9","pages":"1783-1787"},"PeriodicalIF":1.6000,"publicationDate":"2025-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ans.70276","citationCount":"0","resultStr":"{\"title\":\"The Predictive Effect of “Real Amylase Value”: A More Accurate Predictor for Postoperative Pancreatic Fistula\",\"authors\":\"Ahmet Cihangir Emral, Gökay Çetinkaya, Kürşat Dikmen, Mustafa Kerem\",\"doi\":\"10.1111/ans.70276\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background</h3>\\n \\n <p>Postoperative pancreatic fistula (POPF) is a common and serious complication following pancreatic surgery. While several studies have attempted to predict the development of POPF using drain amylase concentration, predictive values vary widely due to factors like abdominal irrigation and chylous drainage, which can dilute the amylase levels. This study aims to evaluate whether the “Real Amylase Value” (RAV), calculated as the product of drain amylase concentration and drainage volume, provides a more reliable prediction of POPF compared to conventional amylase concentration. Better prediction of pancreatic fistula development could lead to closer clinical monitoring of these patients, reassessment of hospital stay duration, and more careful management of drains over an extended period. Additionally, carefully managing the timing of drain removal may improve patient recovery and discharge process.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methodology</h3>\\n \\n <p>Data from 198 patients who underwent pancreaticoduodenectomy (PD) and distal pancreatectomy (DP) were retrospectively analyzed. Drain amylase concentrations and drainage volumes were measured on postoperative days (POD) 1 and 3, and the RAV (U) was calculated. Real Amylase Value (RAV) (U) was calculated using the formula: RAV (U) = Drain Amylase Concentration (U/L) × Drainage Amount (L). Predictive values for POPF were evaluated using receiver operating characteristic (ROC) curve analysis, comparing conventional amylase concentration (U/L) and RAV (U).</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>On POD1, the RAV (U) demonstrated greater predictive value for POPF compared to the conventional drain amylase concentration (U/L) with an area under the ROC curve (AUROC) of 0.85 versus 0.79, respectively. Similarly, on POD3, RAV showed superior predictive accuracy (AUROC 0.89) compared to amylase concentration (AUROC 0.79).</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusion</h3>\\n \\n <p>The RAV (U) offers a more accurate and reliable prediction of POPF than traditional drain amylase concentration (U/L), with improved sensitivity and specificity. 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The Predictive Effect of “Real Amylase Value”: A More Accurate Predictor for Postoperative Pancreatic Fistula
Background
Postoperative pancreatic fistula (POPF) is a common and serious complication following pancreatic surgery. While several studies have attempted to predict the development of POPF using drain amylase concentration, predictive values vary widely due to factors like abdominal irrigation and chylous drainage, which can dilute the amylase levels. This study aims to evaluate whether the “Real Amylase Value” (RAV), calculated as the product of drain amylase concentration and drainage volume, provides a more reliable prediction of POPF compared to conventional amylase concentration. Better prediction of pancreatic fistula development could lead to closer clinical monitoring of these patients, reassessment of hospital stay duration, and more careful management of drains over an extended period. Additionally, carefully managing the timing of drain removal may improve patient recovery and discharge process.
Methodology
Data from 198 patients who underwent pancreaticoduodenectomy (PD) and distal pancreatectomy (DP) were retrospectively analyzed. Drain amylase concentrations and drainage volumes were measured on postoperative days (POD) 1 and 3, and the RAV (U) was calculated. Real Amylase Value (RAV) (U) was calculated using the formula: RAV (U) = Drain Amylase Concentration (U/L) × Drainage Amount (L). Predictive values for POPF were evaluated using receiver operating characteristic (ROC) curve analysis, comparing conventional amylase concentration (U/L) and RAV (U).
Results
On POD1, the RAV (U) demonstrated greater predictive value for POPF compared to the conventional drain amylase concentration (U/L) with an area under the ROC curve (AUROC) of 0.85 versus 0.79, respectively. Similarly, on POD3, RAV showed superior predictive accuracy (AUROC 0.89) compared to amylase concentration (AUROC 0.79).
Conclusion
The RAV (U) offers a more accurate and reliable prediction of POPF than traditional drain amylase concentration (U/L), with improved sensitivity and specificity. This method could refine clinical management, particularly in the timing of drain removal and early intervention strategies for patients at high risk of developing pancreatic fistulas.
期刊介绍:
ANZ Journal of Surgery is published by Wiley on behalf of the Royal Australasian College of Surgeons to provide a medium for the publication of peer-reviewed original contributions related to clinical practice and/or research in all fields of surgery and related disciplines. It also provides a programme of continuing education for surgeons. All articles are peer-reviewed by at least two researchers expert in the field of the submitted paper.