Gregory Glauser1, Benjamin Osiemo2,3, Stephen Goodrich2,3, Scott D McClintock3, Charles Vollmer4, Ronald DeMatteo4, Neil R Malhotra1,2. 1. Department of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA. 2. McKenna EpiLog Fellowship in Population Health, at the University of Pennsylvania, Philadelphia, PA. 3. West Chester University, The West Chester Statistical Institute and Department of Mathematics, 25 University Ave, West Chester, PA. 4. Department of Surgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA.
Abstract
OBJECTIVE: Assess the safety of overlapping surgery before implementation of new recommendations and regulations. BACKGROUND: Overlapping surgery is a longstanding practice that has not been well studied. There remains a need to analyze data across institutions and specialties to draw well-informed conclusions regarding appropriate application of this practice. METHODS: Coarsened exact matching was used to assess the impact of overlap on outcomes amongst all surgical interventions (n = 61,524) over 1 year (2014) at 1 health system. Overlap was categorized as: any, beginning, or end overlap. Study subjects were matched 1:1 on 11 variables. Serious unanticipated events were studied including unplanned return to operating room, readmission, and mortality. RESULTS: In all, 8391 patients (13.6%) had any overlap and underwent coarsened exact matching. For beginning/end overlap, matched groups were created (total matched population N = 4534/3616 patients, respectively). Any overlap did not predict unanticipated return to surgery (9.8% any overlap vs 10.1% no overlap; P = 0.45). Further, any overlap did not predict an increase in reoperation, readmission, or emergency room (ER) visits at 30 or 90 days (30D reoperation 3.6% vs 3.7%; P = 0.83, 90D reoperation 3.8% vs 3.9%; P = 0.84) (30D readmission 9.9% vs 10.2%; P = 0.45, 90D readmissions 6.9% vs 7.0%; P = 0.90) (30D ER 5.4% vs 5.6%; P = 0.60, 90D ER 4.8% vs 4.7%; P = 0.71). In addition, any overlap was not associated with mortality over the surgical follow-up period (90D mortality 1.7% vs 2.1%; P = 0.06). Beginning/end overlap had results similar to any overlap. CONCLUSION: Overlapping, nonconcurrent surgery is not associated with an increase in reoperation, readmission, ER visits, or unanticipated return to surgery.
OBJECTIVE: Assess the safety of overlapping surgery before implementation of new recommendations and regulations. BACKGROUND: Overlapping surgery is a longstanding practice that has not been well studied. There remains a need to analyze data across institutions and specialties to draw well-informed conclusions regarding appropriate application of this practice. METHODS: Coarsened exact matching was used to assess the impact of overlap on outcomes amongst all surgical interventions (n = 61,524) over 1 year (2014) at 1 health system. Overlap was categorized as: any, beginning, or end overlap. Study subjects were matched 1:1 on 11 variables. Serious unanticipated events were studied including unplanned return to operating room, readmission, and mortality. RESULTS: In all, 8391 patients (13.6%) had any overlap and underwent coarsened exact matching. For beginning/end overlap, matched groups were created (total matched population N = 4534/3616 patients, respectively). Any overlap did not predict unanticipated return to surgery (9.8% any overlap vs 10.1% no overlap; P = 0.45). Further, any overlap did not predict an increase in reoperation, readmission, or emergency room (ER) visits at 30 or 90 days (30D reoperation 3.6% vs 3.7%; P = 0.83, 90D reoperation 3.8% vs 3.9%; P = 0.84) (30D readmission 9.9% vs 10.2%; P = 0.45, 90D readmissions 6.9% vs 7.0%; P = 0.90) (30D ER 5.4% vs 5.6%; P = 0.60, 90D ER 4.8% vs 4.7%; P = 0.71). In addition, any overlap was not associated with mortality over the surgical follow-up period (90D mortality 1.7% vs 2.1%; P = 0.06). Beginning/end overlap had results similar to any overlap. CONCLUSION: Overlapping, nonconcurrent surgery is not associated with an increase in reoperation, readmission, ER visits, or unanticipated return to surgery.
Authors: Adrian K H Chiow; David Fuks; Gi-Hong Choi; Nicholas Syn; Iswanto Sucandy; Marco V Marino; Mikel Prieto; Charing C Chong; Jae Hoon Lee; Mikhail Efanov; T Peter Kingham; Sung Hoon Choi; Robert P Sutcliffe; Roberto I Troisi; Johann Pratschke; Tan-To Cheung; Xiaoying Wang; Rong Liu; Mathieu D'Hondt; Chung-Yip Chan; Chung Ngai Tang; Ho-Seong Han; Brian K P Goh Journal: Br J Surg Date: 2021-12-01 Impact factor: 6.939