229. Comparative analysis of 30-day readmission, reoperation, and morbidity between lumbar disc arthroplasty performed in the inpatient and outpatient settings utilizing the 2005-2018 ACS-NSQIP datasets (original) (raw)
Related papers
Risk factors for medical complication after spine surgery: a multivariate analysis of 1,591 patients
The Spine Journal, 2012
There have been numerous study models utilized to describe peri-operative complications after spine surgery. Medicare 5 , Workmen's Compensation, and National Inpatient Sample (NIS) 6,8 administrative data have all been examined to identify risk factors for complication after spine surgery. In addition, peri-operative complications have also been analyzed using retrospective chart review data.
Risk of Complications in Spine Surgery: A Prospective Study
The Open Orthopaedics Journal, 2015
Purpose: Complications are the chief concern of patients and physicians when considering spine surgery. The authors seek to assess the incidence of complications in patients undergoing spine surgery and identify risk factors for their occurrence.
The Spine Journal, 2014
BACKGROUND CONTEXT: The impact of surgical site infection (SSI) is substantial. Although previous study has determined relative risk and odds ratio (OR) values to quantify risk factors, these values may be difficult to translate to the patient during counseling of surgical options. Ideally, a model that predicts absolute risk of SSI, rather than relative risk or OR values, would greatly enhance the discussion of safety of spine surgery. To date, there is no risk stratification model that specifically predicts the risk of medical complication. PURPOSE: The purpose of this study was to create and validate a predictive model for the risk of SSI after spine surgery. STUDY DESIGN: This study performs a multivariate analysis of SSI after spine surgery using a large prospective surgical registry. Using the results of this analysis, this study will then create and validate a predictive model for SSI after spine surgery. PATIENT SAMPLE: The patient sample is from a high-quality surgical registry from our two institutions with prospectively collected, detailed demographic, comorbidity, and complication data. OUTCOME MEASURES: An SSI that required return to the operating room for surgical debridement. MATERIALS AND METHODS: Using a prospectively collected surgical registry of more than 1,532 patients with extensive demographic, comorbidity, surgical, and complication details recorded for 2 years after the surgery, we identified several risk factors for SSI after multivariate analysis. Using the beta coefficients from those regression analyses, we created a model to predict the occurrence of SSI after spine surgery. We split our data into two subsets for internal and crossvalidation of our model. We created a predictive model based on our beta coefficients from our multivariate analysis. RESULTS: The final predictive model for SSI had a receiver-operator curve characteristic of 0.72, considered to be a fair measure. The final model has been uploaded for use on SpineSage.com. CONCLUSIONS: We present a validated model for predicting SSI after spine surgery. The value in this model is that it gives the user an absolute percent likelihood of SSI after spine surgery based on the patient's comorbidity profile and invasiveness of surgery. Patients are far more likely to understand an absolute percentage, rather than relative risk and confidence interval values. A model such as this is of paramount importance in counseling patients and enhancing the safety of spine surgery. In addition, a tool such as this can be of great use particularly as health care trends toward pay for performance, quality metrics (such as SSI), and risk adjustment. To facilitate the use of this
Acta neurochirurgica, 2020
Study design Prospective, observational cohort study. Objective To determine the true incidence of adverse events (AEs) in European adults undergoing surgery for degenerative spine diseases. Summary of background data The majority of surgeries performed for degenerative spinal diseases are elective, and the need for adequate estimation of risk-benefit of the intended surgery is imperative. A cumbersome obstacle for adequate estimation of surgery-related risks is that the true incidence of complications or adverse events (AEs) remains unclear. Methods All adult patients (≥ 18 years) undergoing spine surgery at a single center from February 1, 2016, to January 31, 2017, were prospectively and consecutively included. Morbidity and mortality were determined using the Spine AdVerse Events Severity (SAVES) system. Additionally, the correlation between the AEs and length of stay (LOS) and mortality was assessed. Results A total of 1687 procedures were performed in the study period, and all were included for analysis. Of these, 1399 (83%) were lumbar procedures and 288 (17%) were cervical. The overall incidence of AEs was 47.4%, with a minor AE incidence of 43.2% and a major of 14.5%. Female sex (OR 1.5 [95% CI 1.2-1.9), p < 0.001) and age > 65 years (OR 1.5 [95% CI 1.1-1.7], p = 0.012) were significantly associated with increased odds of having an AE. Conclusion Based on prospectively registered AEs in this single-center study, we validated the use of the SAVES system in a European population undergoing spine surgery due to degenerative spine disease. We found a higher incidence of AEs than previously reported in retrospective studies. The major AEs registered occurred significantly more often perioperatively and in patients > 65 years.
Spine, 2016
Study Design. Retrospective review of a prospective cohort. Objective. The aim of the study was to determine the patient characteristics and surgical procedure factors related to increased rates of 30-day unplanned readmission and major perioperative complications after spinal fusion surgery, and the association between unplanned readmission and major complications. Summary of Background Data. Reducing unplanned readmissions can reduce the cost of healthcare. Payers are implementing penalties for 30-day readmissions after discharge. There is limited data regarding the current rates and risk factors for unplanned readmission and major complications related to spinal fusion surgery. Methods. Spine fusion patients were identified using the 2012 and 2013 American College of Surgeons National Surgical Quality Improvement Program Participant User File. Rates of readmissions within 30 days after spine fusion surgery were calculated using the person-years method. Cox proportional hazards models were used to assess the independent associations of spine surgical procedure types, diagnoses, patient profiles, and major perioperative complications with unplanned related readmissions. Independent risk factors for major complications were assessed by multivariable logistic regression. Results. Of the 18,602 identified patients, there was a 5.2% overall major perioperative complication rate. There was a rate of 4.4% per 30 person-days for unplanned readmissions related to index surgery. Independent risk factors for both readmissions and major perioperative complications included combined anterior and posterior surgery, diagnosis of solitary tumor, older age, and higher American Society of Anesthesiologists class. Patients with deep/organ surgical site infection carried higher risk of having unplanned readmission, followed by pulmonary embolism, acute renal failure, and stroke/cerebral vascular accident with neurological deficit. Conclusion. This study provides benchmark rates of 30-day readmission based on diagnosis and procedure codes from a high-quality database for adult spinal fusion patients and showed increased rates of 30-day unplanned readmission and major perioperative complications for patients with specific risk factors. Targeted preoperative planning on modifiable risk factors with proportional reimbursement may promote higher-quality healthcare.
Arquivos de Neuro-Psiquiatria, 2016
Objective To analyze the cumulative effect of risk factors associated with early major complications in postoperative spine surgery. Methods Retrospective analysis of 583 surgically-treated patients. Early “major” complications were defined as those that may lead to permanent detrimental effects or require further significant intervention. A balanced risk score was built using multiple logistic regression. Results Ninety-two early major complications occurred in 76 patients (13%). Age > 60 years and surgery of three or more levels proved to be significant independent risk factors in the multivariate analysis. The balanced scoring system was defined as: 0 points (no risk factor), 2 points (1 factor) or 4 points (2 factors). The incidence of early major complications in each category was 7% (0 points), 15% (2 points) and 29% (4 points) respectively. Conclusions This balanced scoring system, based on two risk factors, represents an important tool for both surgical indication and for...
Neurospine
Objective: The reported incidence of complications and/or adverse events (AEs) following spine surgery varies greatly. A validated, systematic, reproducible reporting system to quantify AEs was used in 2 prospective cohorts, from 2 spine surgery centers, conducting either complex or purely degenerative spine surgery; in a comparative fashion. The aim was to highlight the differences between 2 distinctly different prospective cohorts with patients from the same background population.Methods: AEs were registered according to the predefined AE variables in the SAVES (Spine AdVerse Events Severity) system which was used to record all intra- and perioperative AEs. Additional outcomes, including mortality, length of stay, wound infection requiring revision, readmission, and unplanned revision surgery during the index admission, were also registered.Results: A total of 593 complex and 1,687 degenerative procedures were consecutively included with 100% data completion. There was a significa...
The Spine Journal, 2009
BACKGROUND CONTEXT: To date, most reports on the incidence of adverse events (AEs) in spine surgery have been retrospective and dependent on data abstraction from hospital-based administrative databases. To our knowledge, there have been no previous rigorously performed prospective analysis of all AEs occurring in the entire population of patients presenting to an academic quaternary referral center. PURPOSE: To determine the mortality and true incidence and severity of morbidity (major and minor, medical and surgical) in adults undergoing complex spinal surgery, both trauma and elective, in a quaternary referral center. To examine the influence of the introduction of a dedicated weekly multidisciplinary rounds, and a formal abstraction tool, on the recording of this prospective perioperative morbidity data. To examine the validity and inter-and intraobserver reliability of a dedicated Spine AdVerse Events Severity system, version 2 (SAVES V2) AE abstraction tool. STUDY DESIGN: Ours is an academic quaternary referral center serving a population of 4.5 million people. Beginning in April 2008, a spine-specific AE-recording instrument, entitled SAVES V2, was introduced at our center for reporting, categorization, and classification of AEs. The use of this system remains an ongoing prospective study. PATIENT SAMPLE: All adult patients admitted to the spine service of a quaternary referral center for a 12-month period. OUTCOME MEASURES: A validity and an inter-and intraobserver reliability examination of the SAVES V2 system, as used at our institution. Morbidity and inhospital deaths, unplanned second surgeries during index admission, wound infections requiring reoperation, and readmissions during the same calendar year. We also examined in detail all intraoperative and nonsurgical postoperative AEs, as well as hospital length of stay (LOS).
Impact of a Perioperative Protocol on Length of ICU and Hospital Stay in Complex Spine Surgery
Journal of Neurosurgical Anesthesiology, 2019
Background: In an attempt to improve patient care, a perioperative complex spine surgery management protocol was developed through collaboration between spine surgeons and neuroanesthesiologists. The aim of this study was to investigate whether implementation of the protocol in 2015 decreased total hospital and intensive care unit (ICU) length of stay (LOS) and complication rates after elective complex spine surgery. Materials and Methods: A retrospective cohort study was conducted by review of the medical charts of patients who underwent elective complex spine surgery at an academic medical center between 2012 and 2017. Patients were divided into 2 groups based on the date of their spine surgery in relation to implementation of the spine surgery protocol; before-protocol (January 2012 to March 2015) and protocol (April 2015 to March 2017) groups. Outcomes in the 2 groups were compared, focusing on hospital and ICU LOS, and complication rates. Results: A total of 201 patients were included in the study; 107 and 94 in the before-protocol and protocol groups, respectively. Mean (SD) hospital LOS was 14.8 ± 10.8 days in the beforeprotocol group compared with 10 ± 10.7 days in the protocol group (P < 0.001). The spine surgery protocol was the primary factor decreasing hospital LOS; incidence rate ratio 0.78 (P < 0.001). Similarly, mean ICU LOS was lower in the protocol compared with before-protocol group (4.2 ± 6.3 vs. 6.3 ± 7.3 d, respectively; P = 0.011). There were no significant differences in the rate of postoperative complications between the 2 groups (P = 0.231). Conclusion: Implementation of a spine protocol reduced ICU and total hospital LOS stay in high-risk spine surgery patients.
International journal of spine surgery, 2018
The rate of mortality in surgical procedures involving the lumbar spine has historically been low, and as a result, there has been difficulty providing accurate quantitative mortality rates to patients in the preoperative planning phase. Awareness of these mortality rates is essential in reducing postoperative complications and improving outcomes. Additionally, mortality rates can be influenced by procedure type and patient profile, including demographics and comorbidities. The purpose of this study is to assess rates and risk factors associated with mortality in surgical procedures involving the lumbar spine using a large national database. The Nationwide Inpatient Sample database was reviewed from 2003 to 2012. A total of 803,949 patients age 18 years or older were identified by ICD-9CM procedure codes for spinal fusion or decompression of the lumbar spine. Mortality was stratified based on type of procedure (simple or complex fusion, decompression), patient demographics and comor...