Effective prediction of postoperative complications for patients after open hepatectomy: a simplified scoring system based on perioperative parameters
Abstract Background The aim of the study was to develop a scoring system for the prediction of postoperative complications of open hepatectomy. Method All consecutive patients receiving open hepatectomy from 2015 to 2017 were included in the study. Univariate and multivariate analyses were used to c...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2019-09-01
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| Series: | BMC Surgery |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s12893-019-0597-2 |
| _version_ | 1818926798688223232 |
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| author | Long Chen Yun-Bing Wang Yan-Hong Zhang Jun-Fei Gong Yue Li |
| author_facet | Long Chen Yun-Bing Wang Yan-Hong Zhang Jun-Fei Gong Yue Li |
| author_sort | Long Chen |
| collection | DOAJ |
| description | Abstract Background The aim of the study was to develop a scoring system for the prediction of postoperative complications of open hepatectomy. Method All consecutive patients receiving open hepatectomy from 2015 to 2017 were included in the study. Univariate and multivariate analyses were used to confirm the risk factors for postoperative complications. Afterwards, a novel scoring system was developed to predict the postoperative complications. Results The study included a total of 207 patients. For the test dataset, multivariate analysis indicated that diabetes, scale of surgery, serum potassium, and blood loss versus body weight were independent risk factors of the postoperative complications. The area under the curve (AUC) of the novel scoring system we proposed for prediction of postoperative complications of hepatectomy was 0.803, which is comparable with the AUCs of previous scoring systems. Furthermore, in the validation dataset, the corresponding AUC of the new scoring system was 0.717. Conclusion This novel and simplified scoring system can effectively predict the postoperative complications of open hepatectomy and could help identify patients who are at high risk of postoperative complications. |
| first_indexed | 2024-12-20T03:02:51Z |
| format | Article |
| id | doaj.art-61c509e821854878b6d7051e7846dce7 |
| institution | Directory Open Access Journal |
| issn | 1471-2482 |
| language | English |
| last_indexed | 2024-12-20T03:02:51Z |
| publishDate | 2019-09-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Surgery |
| spelling | doaj.art-61c509e821854878b6d7051e7846dce72022-12-21T19:55:41ZengBMCBMC Surgery1471-24822019-09-0119111010.1186/s12893-019-0597-2Effective prediction of postoperative complications for patients after open hepatectomy: a simplified scoring system based on perioperative parametersLong Chen0Yun-Bing Wang1Yan-Hong Zhang2Jun-Fei Gong3Yue Li4Department of Hepatobiliary Surgery, The Second Affiliated Hospital of Chongqing Medical UniversityDepartment of Hepatobiliary Surgery, The Second Affiliated Hospital of Chongqing Medical UniversityDepartment of Gastroenterology, The Second Affiliated Hospital of Chongqing Medical UniversityDepartment of Hepatobiliary Surgery, The Second Affiliated Hospital of Chongqing Medical UniversityDepartment of Hepatobiliary Surgery, The Second Affiliated Hospital of Chongqing Medical UniversityAbstract Background The aim of the study was to develop a scoring system for the prediction of postoperative complications of open hepatectomy. Method All consecutive patients receiving open hepatectomy from 2015 to 2017 were included in the study. Univariate and multivariate analyses were used to confirm the risk factors for postoperative complications. Afterwards, a novel scoring system was developed to predict the postoperative complications. Results The study included a total of 207 patients. For the test dataset, multivariate analysis indicated that diabetes, scale of surgery, serum potassium, and blood loss versus body weight were independent risk factors of the postoperative complications. The area under the curve (AUC) of the novel scoring system we proposed for prediction of postoperative complications of hepatectomy was 0.803, which is comparable with the AUCs of previous scoring systems. Furthermore, in the validation dataset, the corresponding AUC of the new scoring system was 0.717. Conclusion This novel and simplified scoring system can effectively predict the postoperative complications of open hepatectomy and could help identify patients who are at high risk of postoperative complications.http://link.springer.com/article/10.1186/s12893-019-0597-2HepatectomyComplicationPredictionRisk factorScoring system |
| spellingShingle | Long Chen Yun-Bing Wang Yan-Hong Zhang Jun-Fei Gong Yue Li Effective prediction of postoperative complications for patients after open hepatectomy: a simplified scoring system based on perioperative parameters BMC Surgery Hepatectomy Complication Prediction Risk factor Scoring system |
| title | Effective prediction of postoperative complications for patients after open hepatectomy: a simplified scoring system based on perioperative parameters |
| title_full | Effective prediction of postoperative complications for patients after open hepatectomy: a simplified scoring system based on perioperative parameters |
| title_fullStr | Effective prediction of postoperative complications for patients after open hepatectomy: a simplified scoring system based on perioperative parameters |
| title_full_unstemmed | Effective prediction of postoperative complications for patients after open hepatectomy: a simplified scoring system based on perioperative parameters |
| title_short | Effective prediction of postoperative complications for patients after open hepatectomy: a simplified scoring system based on perioperative parameters |
| title_sort | effective prediction of postoperative complications for patients after open hepatectomy a simplified scoring system based on perioperative parameters |
| topic | Hepatectomy Complication Prediction Risk factor Scoring system |
| url | http://link.springer.com/article/10.1186/s12893-019-0597-2 |
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