OBJECTIVE: The objective of this study was to identify the determinants of 30-day postoperative mortality and long-term survival after major surgery as exemplified by 8 common operations. SUMMARY BACKGROUND DATA: The National Surgical Quality Improvement Program (NSQIP) database contains pre-, intra-, and 30-day postoperative data, prospectively collected in a standardized fashion by a dedicated nurse reviewer, on major surgery in the Veterans Administration (VA). The Beneficiary Identification and Records Locator Subsystem (BIRLS) is a VA file that depicts the vital status of U.S. veterans with 87% to 95% accuracy. METHODS: NSQIP data were merged with BIRLS to determine the vital status of 105,951 patients who underwent 8 types of operations performed between 1991 and 1999, providing an average follow up of 8 years. Logistic and Cox regression analyses were performed to identify the predictors of 30-day mortality and long-term survival, respectively. RESULTS: The most important determinant of decreased postoperative survival was the occurrence, within 30 days postoperatively, of any one of 22 types of complications collected in the NSQIP. Independent of preoperative patient risk, the occurrence of a 30-day complication in the total patient group reduced median patient survival by 69%. The adverse effect of a complication on patient survival was also influenced by the operation type and was sustained even when patients who did not survive for 30 days were excluded from the analyses. CONCLUSIONS: The occurrence of a 30-day postoperative complication is more important than preoperative patient risk and intraoperative factors in determining the survival after major surgery in the VA. Quality and process improvement in surgery should be directed toward the prevention of postoperative complications.
OBJECTIVE: The objective of this study was to identify the determinants of 30-day postoperative mortality and long-term survival after major surgery as exemplified by 8 common operations. SUMMARY BACKGROUND DATA: The National Surgical Quality Improvement Program (NSQIP) database contains pre-, intra-, and 30-day postoperative data, prospectively collected in a standardized fashion by a dedicated nurse reviewer, on major surgery in the Veterans Administration (VA). The Beneficiary Identification and Records Locator Subsystem (BIRLS) is a VA file that depicts the vital status of U.S. veterans with 87% to 95% accuracy. METHODS: NSQIP data were merged with BIRLS to determine the vital status of 105,951 patients who underwent 8 types of operations performed between 1991 and 1999, providing an average follow up of 8 years. Logistic and Cox regression analyses were performed to identify the predictors of 30-day mortality and long-term survival, respectively. RESULTS: The most important determinant of decreased postoperative survival was the occurrence, within 30 days postoperatively, of any one of 22 types of complications collected in the NSQIP. Independent of preoperative patient risk, the occurrence of a 30-day complication in the total patient group reduced median patient survival by 69%. The adverse effect of a complication on patient survival was also influenced by the operation type and was sustained even when patients who did not survive for 30 days were excluded from the analyses. CONCLUSIONS: The occurrence of a 30-day postoperative complication is more important than preoperative patient risk and intraoperative factors in determining the survival after major surgery in the VA. Quality and process improvement in surgery should be directed toward the prevention of postoperative complications.
Authors: W E Longo; K S Virgo; F E Johnson; C A Oprian; A M Vernava; T P Wade; M A Phelan; W G Henderson; J Daley; S F Khuri Journal: Dis Colon Rectum Date: 2000-01 Impact factor: 4.585
Authors: Shukri F Khuri; Nancy A Healey; Monir Hossain; Vladimir Birjiniuk; Michael D Crittenden; Miguel Josa; Patrick R Treanor; Samer F Najjar; Dharam J Kumbhani; William G Henderson Journal: J Thorac Cardiovasc Surg Date: 2005-02 Impact factor: 5.209
Authors: Kevin G Billingsley; Kwan Hur; William G Henderson; Jennifer Daley; Shukri F Khuri; Richard H Bell Journal: J Gastrointest Surg Date: 2003 May-Jun Impact factor: 3.452
Authors: Molly M Cone; Daniel O Herzig; Brian S Diggs; Jennifer D Rea; Karin M Hardiman; Kim C Lu Journal: J Gastrointest Surg Date: 2012-03-09 Impact factor: 3.452
Authors: James Edward Carroll; Jillian K Smith; Jessica P Simons; Melissa M Murphy; Sing Chau Ng; Shimul A Shah; Zheng Zhou; Jennifer F Tseng Journal: J Gastrointest Surg Date: 2010-09-16 Impact factor: 3.452
Authors: Dimitrios Xourafas; Katiuscha Merath; Gaya Spolverato; Stanley W Ashley; Jordan M Cloyd; Timothy M Pawlik Journal: J Gastrointest Surg Date: 2018-07-23 Impact factor: 3.452
Authors: Emily Earl-Royal; Elinore J Kaufman; Jesse Y Hsu; Douglas J Wiebe; Patrick M Reilly; Daniel N Holena Journal: J Surg Res Date: 2016-07-05 Impact factor: 2.192