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Mason EM, Henderson WG, Bronsert MR, Colborn KL, Dyas AR, Madsen HJ, Lambert-Kerzner A, Meguid RA. Preoperative Prediction of Unplanned Reoperation in a Broad Surgical Population. J Surg Res 2023; 285:1-12. [PMID: 36640606 PMCID: PMC9975057 DOI: 10.1016/j.jss.2022.12.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Revised: 11/07/2022] [Accepted: 12/24/2022] [Indexed: 01/15/2023]
Abstract
INTRODUCTION Unplanned reoperation is an undesirable outcome with considerable risks and an increasingly assessed quality of care metric. There are no preoperative prediction models for reoperation after an index surgery in a broad surgical population in the literature. The Surgical Risk Preoperative Assessment System (SURPAS) preoperatively predicts 12 postoperative adverse events using 8 preoperative variables, but its ability to predict unplanned reoperation has not been assessed. This study's objective was to determine whether the SURPAS model could accurately predict unplanned reoperation. METHODS This was a retrospective analysis of the American College of Surgeons' National Surgical Quality Improvement Program adult database, 2012-2018. An unplanned reoperation was defined as any unintended operation within 30 d of an initial scheduled operation. The 8-variable SURPAS model and a 29-variable "full" model, incorporating all available American College of Surgeons' National Surgical Quality Improvement Program nonlaboratory preoperative variables, were developed using multiple logistic regression and compared using discrimination and calibration metrics: C-indices (C), Hosmer-Lemeshow observed-to-expected plots, and Brier scores (BSs). The internal chronological validation of the SURPAS model was conducted using "training" (2012-2017) and "test" (2018) datasets. RESULTS Of 5,777,108 patients, 162,387 (2.81%) underwent an unplanned reoperation. The SURPAS model's C-index of 0.748 was 99.20% of that for the full model (C = 0.754). Hosmer-Lemeshow plots showed good calibration for both models and BSs were similar (BS = 0.0264, full; BS = 0.0265, SURPAS). Internal chronological validation results were similar for the training (C = 0.749, BS = 0.0268) and test (C = 0.748, BS = 0.0250) datasets. CONCLUSIONS The SURPAS model accurately predicted unplanned reoperation and was internally validated. Unplanned reoperation can be integrated into the SURPAS tool to provide preoperative risk assessment of this outcome, which could aid patient risk education.
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Affiliation(s)
- Emily M Mason
- Clinical Science Program, University of Colorado Anschutz Medical Campus, Graduate School, Colorado Clinical and Translational Sciences Institute, Aurora, Colorado; Department of Surgery, Surgical Outcomes and Applied Research Program, University of Colorado Anschutz Medical Campus, School of Medicine, Aurora, Colorado
| | - William G Henderson
- Department of Surgery, Surgical Outcomes and Applied Research Program, University of Colorado Anschutz Medical Campus, School of Medicine, Aurora, Colorado; Adult and Child Consortium for Health Outcomes Research and Delivery Science, University of Colorado Anschutz Medical Campus, School of Medicine, Aurora, Colorado; Department of Biostatistics and Informatics, University of Colorado Anschutz Medical Campus, Colorado School of Public Health, Aurora, Colorado
| | - Michael R Bronsert
- Department of Surgery, Surgical Outcomes and Applied Research Program, University of Colorado Anschutz Medical Campus, School of Medicine, Aurora, Colorado; Adult and Child Consortium for Health Outcomes Research and Delivery Science, University of Colorado Anschutz Medical Campus, School of Medicine, Aurora, Colorado
| | - Kathryn L Colborn
- Department of Surgery, Surgical Outcomes and Applied Research Program, University of Colorado Anschutz Medical Campus, School of Medicine, Aurora, Colorado; Department of Biostatistics and Informatics, University of Colorado Anschutz Medical Campus, Colorado School of Public Health, Aurora, Colorado
| | - Adam R Dyas
- Department of Surgery, Surgical Outcomes and Applied Research Program, University of Colorado Anschutz Medical Campus, School of Medicine, Aurora, Colorado
| | - Helen J Madsen
- Department of Surgery, Surgical Outcomes and Applied Research Program, University of Colorado Anschutz Medical Campus, School of Medicine, Aurora, Colorado
| | - Anne Lambert-Kerzner
- Department of Surgery, Surgical Outcomes and Applied Research Program, University of Colorado Anschutz Medical Campus, School of Medicine, Aurora, Colorado; Department of Biostatistics and Informatics, University of Colorado Anschutz Medical Campus, Colorado School of Public Health, Aurora, Colorado
| | - Robert A Meguid
- Department of Surgery, Surgical Outcomes and Applied Research Program, University of Colorado Anschutz Medical Campus, School of Medicine, Aurora, Colorado; Adult and Child Consortium for Health Outcomes Research and Delivery Science, University of Colorado Anschutz Medical Campus, School of Medicine, Aurora, Colorado.
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Luo Z, Wu J, Sun B, Liao W, Huang S, Zhang Z, Liu Z, Liu J. Trend of unplanned reoperation rates after lumbar degenerative surgery from 2011 to 2019: a large patient population study. ANZ J Surg 2023. [PMID: 36967630 DOI: 10.1111/ans.18430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2022] [Revised: 02/19/2023] [Accepted: 03/13/2023] [Indexed: 03/29/2023]
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Predictors of early unplanned reoperation after craniotomy for brain tumor, Addis Ababa, Ethiopia: A one-year prospective study. INTERDISCIPLINARY NEUROSURGERY 2022. [DOI: 10.1016/j.inat.2022.101602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
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Raghib MF, Khalid MU, Imran N, Sajid MI, Abdullah UEH, Tanwir A, Enam SA. Risk Factors and Outcomes of Redo Craniotomy: A Tertiary Care Center Analysis. Cureus 2022; 14:e21440. [PMID: 35223225 PMCID: PMC8860674 DOI: 10.7759/cureus.21440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/19/2022] [Indexed: 11/05/2022] Open
Abstract
Background and aim Reoperation rate is defined as the percentage of patients returning to the operating room (OR) within 30 days of an initial craniotomy and undergoing a repeat (redo) craniotomy procedure. It is a key factor of quality-of-care assessments and has implications for outcomes, especially in oncological cases. Redo craniotomies are associated with improvement in neurological status and decreased mortality rate compared to non-surgical interventions but are associated with higher costs and risk of complications. It is important to gauge the indications and frequency of redo craniotomies as an index of quality of healthcare to improve patient outcomes. This study aimed to identify the indications, frequency, and outcomes of reoperation following an initial craniotomy in neurosurgical patients at a tertiary care hospital. Methods This retrospective cohort study was conducted at a tertiary care center in Pakistan and included all patients who underwent unplanned reoperation within 30 days of initial craniotomy from January 1, 2010, to December 31, 2017. Demographics, indications for index surgery as well as reoperation, and outcomes in the form of complications, neurological status, and mortality were collected from medical charts and analyzed. Results The study comprised 111 patients who underwent reoperations. Median age of the patients was 36 years (interquartile range {IQR}: 33 years). From a total of more than 1900 annual cases, the frequency of unplanned reoperations was 3.5%. The most common indication of unplanned reoperation based on MRI/CT was hemorrhage (40%, subdural hemorrhage was most common), followed by hydrocephalus (22%), cerebral edema (13%), and residual tumor (13%). The most common clinical reason for unplanned reoperation was a drop in Glasgow Coma Scale (GCS) (59%), whereas anisocoria was seen in 10.8% of patients. The highest mortality rate was observed in patients who were reoperated from post-operative day two to post-operative day seven (56%). Hypertension (p=0.014) and thrombocytopenia (p<0.001) showed significant associations with developing intracranial hemorrhage. Seventy-eight percent of patients showed significant improvement in their Karnofsky Performance Score (KPS) whereas 22% showed deterioration in their KPS. Conclusion The delivery of consistent quality healthcare relies on early detection and intervention in at-risk patients. Our center’s reoperation rate is consistent with the average range among other centers globally. Hypertension, anticoagulation, and antiplatelet therapy were common risk factors for redo craniotomies within 30 days. Patients with these conditions need special care to prevent returns to the operating room. Patients also need to be monitored for hemorrhage in the short term (one to two days) and hydrocephalus in the long term (two to 30 days) to intervene early if needed.
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Li A, Zhu H, Zhou H, Liu J, Deng Y, Liu Q, Guo C. Unplanned surgical reoperations as a quality indicator in pediatric tertiary general surgical specialties: Associated risk factors and hospitalization, a retrospective case-control analysis. Medicine (Baltimore) 2020; 99:e19982. [PMID: 32384450 PMCID: PMC7220400 DOI: 10.1097/md.0000000000019982] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Unplanned reoperations have not been studied extensively in pediatric patients, especially concerning risk factors. We aim to estimate the rate of unplanned reoperations and to determine the associated factors in pediatric general surgical specialties.This analysis included a retrospective case-control study of unplanned reoperations from July 1, 2010 to June 30, 2017 in the general surgical specialties. For each case, we identified approximately 2 randomly selected controls who underwent the same type of operation. The factors involved in the unplanned reoperations were investigated using univariate and multivariate analysis.Of the 3263 patients who underwent surgery, unplanned reoperations were performed in 139 patients (4.3%). The main indications for unplanned reoperations were wound complications (n = 52, 42.6%), followed by postoperative ileus (n = 12, 9.8%), postoperative bleeding (n = 8, 6.6%), and intraabdominal infection (n = 13, 10.7%). Following multivariate analysis, 2 factors remained significantly associated with unplanned reoperation: higher initial surgery-related risk level (P = .007, risk ratio (RR) = 0.48; 95% confidence interval (CI) = 0.27-0.82) and operation performed outside working hours (P = .031, RR = 0.52; 95% CI = 0.30-0.89).Various patient- and procedure-related factors were associated with unplanned reoperations. This information might be helpful for the optimization of treatment planning and resource allocation.
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Affiliation(s)
- Ang Li
- Class 2, Department 1 of Clinical Medicine, 2016
| | - Hai Zhu
- Class 2, Department 1 of Clinical Medicine, 2016
- Ministry of Education Key Laboratory of Child Development and Disorders, Children's Hospital
| | - Hong Zhou
- Class 2, Department 1 of Clinical Medicine, 2016
- Ministry of Education Key Laboratory of Child Development and Disorders, Children's Hospital
| | - Jianxia Liu
- Department of Anesthesiology, Children's Hospital
| | - Yuhua Deng
- Class 2, Department 1 of Clinical Medicine, 2016
| | - Qingshuang Liu
- Class 2, Department 1 of Clinical Medicine, 2016
- Department of Pediatric General Surgery and Liver Transplantation, Children's Hospital, Chongqing Medical University, Chongqing, PR China
| | - Chunbao Guo
- Class 2, Department 1 of Clinical Medicine, 2016
- Ministry of Education Key Laboratory of Child Development and Disorders, Children's Hospital
- Department of Pediatric General Surgery and Liver Transplantation, Children's Hospital, Chongqing Medical University, Chongqing, PR China
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Sangal NR, Nishimori K, Zhao E, Siddiqui SH, Baredes S, Chan Woo Park R. Understanding Risk Factors Associated With Unplanned Reoperation in Major Head and Neck Surgery. JAMA Otolaryngol Head Neck Surg 2019; 144:1044-1051. [PMID: 30267078 DOI: 10.1001/jamaoto.2018.2049] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Importance Understanding the preoperative, intraoperative, and postoperative risk factors of reoperation is the optimal way to approach decreasing its incidence. Objective To identify risk factors of unplanned reoperation following major operations of the head and neck. Design, Setting, and Participants This retrospective cohort study queried the American College of Surgeons National Surgical Quality Improvement Program database and identified 2475 cases of major operations of the head and neck performed between 2005 and 2014. Specific operations analyzed were glossectomy, mandibulectomy, laryngectomy, and pharyngectomy. Univariate and multivariate analyses were performed to compare demographic and clinical characteristics of patients with or without unplanned reoperation. Data were analyzed between September and November 2017. Main Outcomes and Measures The primary outcome was incidence of unplanned reoperation in patients with major operations in the head and neck region. An additional aim was to assess the risk factors associated with an increased likelihood of reoperation. Results In total, 1941 patients were included in this study (1298 [66.9%] males), with most patients (961 [49.5%]) between 61 and 80 years of age. The overall unplanned reoperation rate within 30 days after the principal operative procedure was 14.2% (275 patients). The operative procedure with the highest reoperation rate was pharyngectomy (8 of 46 [17.4%]), followed by glossectomy (95 of 632 [15.0%]), laryngectomy (53 of 399 [13.3%]), and mandibulectomy (25 of 240 [10.4%]). Among the unplanned reoperation patients, 516 patients (76.8%) underwent reoperation during their initial hospital admission and 156 patients (23.2%) after readmission. The mean (SD) number of days from the principal operative procedure to unplanned reoperation was 8.5 (3.6) days for initial-admission reoperations and 16.0 (4.8) days for readmission reoperations. The most common unplanned reoperation procedures overall included repair, surgical exploration, and revision procedures on arteries and veins (47 of 2475 [1.9%]), incision procedures on the soft tissue of the neck and thorax (37 of 1941 [1.9%]), and incision and drainage procedures on the skin, subcutaneous, and accessory structures (21 of 1941 [1.1%]). Multivariate analysis results indicated that the independent risk factors for unplanned reoperation following a major cancer operation of the head or neck included black race (odds ratio [OR], 1.72; 95% CI, 1.09-2.74), disseminated cancer (OR, 1.85; 95% CI, 1.14-3.00), greater total operation time (OR, 2.05; 95% CI, 1.49-2.82), superficial (OR, 2.56; 95% CI, 1.55-4.24) or deep (OR, 4.83; 95% CI, 2.60-8.95) surgical site infection, wound dehiscence (OR, 8.36; 95% CI, 5.10-13.69), and ventilator dependence up to 48 hours after surgery (OR, 2.95; 95% CI, 1.79-4.87). Conclusions and Relevance The identification of a significant association of black race, disseminated cancer, total operation time, surgical site infection in either the superficial or deep spaces, wound dehiscence, or ventilator dependence for more than 48 hours after surgery with increased risk of reoperation in major head and neck surgery may guide the modification and adaptation of these risk factors to decrease the burden that unplanned reoperation places on patients, surgeons, and the health care system.
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Affiliation(s)
- Neel R Sangal
- Department of Otolaryngology-Head and Neck Surgery, Rutgers New Jersey Medical School, Newark
| | - Kalin Nishimori
- Department of Otolaryngology-Head and Neck Surgery, Rutgers New Jersey Medical School, Newark
| | - Eric Zhao
- Department of Otolaryngology-Head and Neck Surgery, Rutgers New Jersey Medical School, Newark
| | - Sana H Siddiqui
- Department of Otolaryngology-Head and Neck Surgery, Rutgers New Jersey Medical School, Newark
| | - Soly Baredes
- Department of Otolaryngology-Head and Neck Surgery, Rutgers New Jersey Medical School, Newark.,Center for Skull Base and Pituitary Surgery, Neurological Institute of New Jersey, Rutgers New Jersey Medical School, Newark
| | - Richard Chan Woo Park
- Department of Otolaryngology-Head and Neck Surgery, Rutgers New Jersey Medical School, Newark
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Quality Indicators in Cranial Neurosurgery: Which Are Presently Substantiated? A Systematic Review. World Neurosurg 2017; 104:104-112. [PMID: 28465269 DOI: 10.1016/j.wneu.2017.03.111] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2017] [Revised: 03/21/2017] [Accepted: 03/23/2017] [Indexed: 01/31/2023]
Abstract
BACKGROUND Owing to the rising costs of health care delivery, the quality of delivered care has become a central issue across all medical specialties. Consequently, there is increasing pressure to create standardized frameworks for measuring quality of care. In the field of cranial neurosurgery, health care administrators have begun applying quality measures that are easily available but might be inaccurate in measuring the quality of care. METHODS We performed a systematic literature review on quality indicators (QIs) that are presently used in this field, aiming to elucidate which QIs are scientifically founded and thus potentially justifiable as measures of quality. We found a total of 8 QIs, and methodologically evaluated published studies according to the AIRE (Appraisal of Indicators through Research and Evaluation) criteria. These criteria include length of hospital stay, all-cause readmission rate, and unplanned reoperation rate. RESULTS Our review indicates that these presently used or proposed QIs for neurosurgery lack scientific rigor and are restricted to rudimentary measures, and that further research is necessary. CONCLUSIONS Neurosurgeons need to define their own QIs and actively participate in the validation of these QIs to provide the best possible patient outcomes. More reliable clinical registries, obligatory for all neurosurgical services, should be established as a basis for establishing such indicators, with risk adjustment being an important element of any such indicators.
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McLaughlin N, Jin P, Martin NA. Assessing early unplanned reoperations in neurosurgery: opportunities for quality improvement. J Neurosurg 2015; 123:198-205. [PMID: 25816087 DOI: 10.3171/2014.9.jns14666] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
OBJECT Review of morbidities and mortality has been the primary method used to assess surgical quality by physicians, hospitals, and oversight agencies. The incidence of reoperation has been proposed as a candidate quality indicator for surgical care. The authors report a comprehensive assessment of reoperations within a neurosurgical department and discuss how such data can be integrated into quality improvement initiatives to optimize value of care delivery. METHODS All neurosurgical procedures performed in the main operating room or the outpatient surgery center at the Ronald Reagan UCLA Medical Center and UCLA Santa Monica Medical Center from July 2008 to December 2012 were considered for this study. Interventional radiology and stereotactic radiosurgery procedures were excluded. Early reoperations within 7 days of the index surgery were reviewed and their preventability status was evaluated. RESULTS The incidence of early unplanned reoperation was 2.6% (occurring after 183 of 6912 procedures). More than half of the patients who underwent early unplanned reoperation initially had surgery for shunt-related conditions (34.4%) or intracranial tumor (23.5%). Shunt failure was the most common indication for early unplanned reoperation (34.4%), followed by postoperative bleeding (20.8%) and postoperative elevated intracranial pressure (9.8%). The average time interval (± SD) between the index surgery and reoperation was 3.0 ± 1.9 days. The average length of stay following reoperation was 12.1 ± 14.4 days. CONCLUSIONS This study enabled an in-depth assessment of reoperations within an academic neurosurgical practice and identification of strategic opportunities for department-wide quality improvement initiatives. The authors provide a nuanced discussion regarding the use of absolute reoperations as a quality indicator for neurosurgical patient populations.
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Affiliation(s)
- Nancy McLaughlin
- Department of Neurosurgery, David Geffen School of Medicine at UCLA, Los Angeles, California; and
| | - Peng Jin
- Department of Neurosurgery, David Geffen School of Medicine at UCLA, Los Angeles, California; and.,Department of Neurosurgery, Affiliated Hospital of Qingdao University, Qingdao, Shandong Province, China
| | - Neil A Martin
- Department of Neurosurgery, David Geffen School of Medicine at UCLA, Los Angeles, California; and
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