S. Jones, I. Murray, K. Lim, Robert Howells, R. Jones, Aarti Sharma
{"title":"个性化风险计算器在妇科肿瘤手术中的应用","authors":"S. Jones, I. Murray, K. Lim, Robert Howells, R. Jones, Aarti Sharma","doi":"10.26226/morressier.5fa3ee5d55b1fd4cc4dd93a1","DOIUrl":null,"url":null,"abstract":"Objective: The objective of this study was to assess the ability of the American College of Surgeons (ACS)\nNSQIP surgical risk calculator to accurately identify patients at increased risk of perioperative complication\nfollowing surgery for gynaecological malignancy.\nMethods: A retrospective review of 142 patients who underwent major surgery under the gynae-oncology\nteam between 06/08/2018-16/04/2019 at the University Hospital of Wales. Pre-operative factors combined\nwith a procedure-specific code generated the predicted risk of 13 post-operative complications for each\npatient. Brier scores assessed calibration and receiver operated curves (AUC) evaluated the discriminative\npower of NSQIP.\nResults: Complications were experienced by 50/142 (35.2%) patients. The calculator displayed adequate\ncalibration when used to predict serious complications (Brier = 0.070), readmission (Brier = 0.058), return\nto OR (Brier = 0.000) and UTI (Brier = 0.001). It had the greatest discriminative power when predicting the\nrisk of serious complications (AUC = 0.672; 95% CI, 0.481-0.863). The calculator successfully identified a\nmajority of patients who had a complication as being of ‘above average risk’ for all complications, apart\nfrom return to OR, based on their pre-operative factors.\nDiscussion: NSQIP has previously been demonstrated to be a useful pre-operative tool for evaluating the\nrisk of post-operative complications in colorectal surgery. This study suggests that in the setting of gynaeoncology surgery the calculator does not have adequate discriminative power to be an absolute predictor of\nall complications, however, it may be useful in identifying patients who are likely to develop serious\ncomplications and those at above average risk of complications.","PeriodicalId":10487,"journal":{"name":"Clinical Oncology and Research","volume":"45 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Utility of a Personalised Risk Calculator in Gynae-Oncology Surgery\",\"authors\":\"S. Jones, I. Murray, K. Lim, Robert Howells, R. Jones, Aarti Sharma\",\"doi\":\"10.26226/morressier.5fa3ee5d55b1fd4cc4dd93a1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Objective: The objective of this study was to assess the ability of the American College of Surgeons (ACS)\\nNSQIP surgical risk calculator to accurately identify patients at increased risk of perioperative complication\\nfollowing surgery for gynaecological malignancy.\\nMethods: A retrospective review of 142 patients who underwent major surgery under the gynae-oncology\\nteam between 06/08/2018-16/04/2019 at the University Hospital of Wales. Pre-operative factors combined\\nwith a procedure-specific code generated the predicted risk of 13 post-operative complications for each\\npatient. Brier scores assessed calibration and receiver operated curves (AUC) evaluated the discriminative\\npower of NSQIP.\\nResults: Complications were experienced by 50/142 (35.2%) patients. The calculator displayed adequate\\ncalibration when used to predict serious complications (Brier = 0.070), readmission (Brier = 0.058), return\\nto OR (Brier = 0.000) and UTI (Brier = 0.001). It had the greatest discriminative power when predicting the\\nrisk of serious complications (AUC = 0.672; 95% CI, 0.481-0.863). The calculator successfully identified a\\nmajority of patients who had a complication as being of ‘above average risk’ for all complications, apart\\nfrom return to OR, based on their pre-operative factors.\\nDiscussion: NSQIP has previously been demonstrated to be a useful pre-operative tool for evaluating the\\nrisk of post-operative complications in colorectal surgery. This study suggests that in the setting of gynaeoncology surgery the calculator does not have adequate discriminative power to be an absolute predictor of\\nall complications, however, it may be useful in identifying patients who are likely to develop serious\\ncomplications and those at above average risk of complications.\",\"PeriodicalId\":10487,\"journal\":{\"name\":\"Clinical Oncology and Research\",\"volume\":\"45 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-11-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical Oncology and Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.26226/morressier.5fa3ee5d55b1fd4cc4dd93a1\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Oncology and Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.26226/morressier.5fa3ee5d55b1fd4cc4dd93a1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Utility of a Personalised Risk Calculator in Gynae-Oncology Surgery
Objective: The objective of this study was to assess the ability of the American College of Surgeons (ACS)
NSQIP surgical risk calculator to accurately identify patients at increased risk of perioperative complication
following surgery for gynaecological malignancy.
Methods: A retrospective review of 142 patients who underwent major surgery under the gynae-oncology
team between 06/08/2018-16/04/2019 at the University Hospital of Wales. Pre-operative factors combined
with a procedure-specific code generated the predicted risk of 13 post-operative complications for each
patient. Brier scores assessed calibration and receiver operated curves (AUC) evaluated the discriminative
power of NSQIP.
Results: Complications were experienced by 50/142 (35.2%) patients. The calculator displayed adequate
calibration when used to predict serious complications (Brier = 0.070), readmission (Brier = 0.058), return
to OR (Brier = 0.000) and UTI (Brier = 0.001). It had the greatest discriminative power when predicting the
risk of serious complications (AUC = 0.672; 95% CI, 0.481-0.863). The calculator successfully identified a
majority of patients who had a complication as being of ‘above average risk’ for all complications, apart
from return to OR, based on their pre-operative factors.
Discussion: NSQIP has previously been demonstrated to be a useful pre-operative tool for evaluating the
risk of post-operative complications in colorectal surgery. This study suggests that in the setting of gynaeoncology surgery the calculator does not have adequate discriminative power to be an absolute predictor of
all complications, however, it may be useful in identifying patients who are likely to develop serious
complications and those at above average risk of complications.