Missing Data in the National Surgical Quality Improvement Program Database: How Does It Affect the Identification of Risk Factors for Shoulder Surgery Complications?

2020 ◽  
Vol 36 (5) ◽  
pp. 1233-1239.e3 ◽  
Author(s):  
Keith T. Aziz ◽  
Matthew J. Best ◽  
Brendan Y. Shi ◽  
Uma Srikumaran
2017 ◽  
Vol 19 (3) ◽  
pp. 361-371 ◽  
Author(s):  
Benjamin J. Kuo ◽  
Joao Ricardo N. Vissoci ◽  
Joseph R. Egger ◽  
Emily R. Smith ◽  
Gerald A. Grant ◽  
...  

OBJECTIVE Existing studies have shown a high overall rate of adverse events (AEs) following pediatric neurosurgical procedures. However, little is known regarding the morbidity of specific procedures or the association with risk factors to help guide quality improvement (QI) initiatives. The goal of this study was to describe the 30-day mortality and AE rates for pediatric neurosurgical procedures by using the American College of Surgeons (ACS) National Surgical Quality Improvement Program–Pediatrics (NSQIP-Peds) database platform. METHODS Data on 9996 pediatric neurosurgical patients were acquired from the 2012–2014 NSQIP-Peds participant user file. Neurosurgical cases were analyzed by the NSQIP-Peds targeted procedure categories, including craniotomy/craniectomy, defect repair, laminectomy, shunts, and implants. The primary outcome measure was 30-day mortality, with secondary outcomes including individual AEs, composite morbidity (all AEs excluding mortality and unplanned reoperation), surgical-site infection, and unplanned reoperation. Univariate analysis was performed between individual AEs and patient characteristics using Fischer's exact test. Associations between individual AEs and continuous variables (duration from admission to operation, work relative value unit, and operation time) were examined using the Student t-test. Patient characteristics and continuous variables associated with any AE by univariate analysis were used to develop category-specific multivariable models through backward stepwise logistic regression. RESULTS The authors analyzed 3383 craniotomy/craniectomy, 242 defect repair, 1811 laminectomy, and 4560 shunt and implant cases and found a composite overall morbidity of 30.2%, 38.8%, 10.2%, and 10.7%, respectively. Unplanned reoperation rates were highest for defect repair (29.8%). The mortality rate ranged from 0.1% to 1.2%. Preoperative ventilator dependence was a significant predictor of any AE for all procedure groups, whereas admission from outside hospital transfer was a significant predictor of any AE for all procedure groups except craniotomy/craniectomy. CONCLUSIONS This analysis of NSQIP-Peds, a large risk-adjusted national data set, confirms low perioperative mortality but high morbidity for pediatric neurosurgical procedures. These data provide a baseline understanding of current expected clinical outcomes for pediatric neurosurgical procedures, identify the need for collecting neurosurgery-specific risk factors and complications, and should support targeted QI programs and clinical management interventions to improve care of children.


2013 ◽  
Vol 79 (9) ◽  
pp. 914-921 ◽  
Author(s):  
Dominic Papandria ◽  
Thomas Lardaro ◽  
Daniel Rhee ◽  
Gezzer Ortega ◽  
Amany Gorgy ◽  
...  

Minimal access procedures have influenced surgical practice and patient expectations. Risk of laparoscopic conversion to open surgery is frequently cited but vaguely quantified. The present study examines three common procedures to identify risk factors for laparoscopic conversion to open (LCO) events. Cross-sectional analysis using the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP; 2005 to 2009) identified cases with laparoscopic procedure codes for appendectomy, cholecystectomy, and bariatric procedures. The primary outcome was conversion of a laparoscopic procedure to its open equivalent. Summary statistics for laparoscopic and LCO groups were compared and logistic regression analysis was used to estimate patient and operative risk factors for conversion. Of 176,014 selected laparoscopic operations, 2,138 (1.2%) were converted. Most patients were female (68%) and white (71.2%); mean age was 45.1 years. LCO cholecystectomy was significantly more likely (n = 1526 [1.9%]) and LCO bariatric procedures were less likely (n = 121 [0.3%]); appendectomy was intermediate (n = 491 [1.0%], P < 0.001). Patient factors associated with LCO included male sex ( P < 0.001), age 30 years or older ( P < 0.025), American Society of Anesthesiologists Class 2 to 4 ( P < 0.001), obesity ( P < 0.01), history of bleeding disorder ( P = 0.036), or preoperative systemic inflammatory response syndrome or sepsis ( P < 0.001). LCO was associated with greater incidence of postoperative complications, including death, organ space surgical site infection, sepsis, wound dehiscence, and return to the operating room ( P < 0.001). Overall LCO incidence is low in hospitals participating in ACS-NSQIP. Conversion risk factors include patient age, sex, obesity, and preoperative comorbidity as well as the procedure performed. This information should be valuable to clinicians in discussing conversion risk with patients.


2017 ◽  
Vol 96 (2) ◽  
pp. E37-E45 ◽  
Author(s):  
Umang Jain ◽  
Jessica Somerville ◽  
Sujata Saha ◽  
Jon P. Ver Halen ◽  
Anuja K. Antony ◽  
...  

While neck dissection is an important primary and adjunctive procedure in the treatment of head and neck cancer, there is a paucity of studies evaluating outcomes. A retrospective review of the National Surgical Quality Improvement Program (NSQIP) database was performed to identify factors associated with adverse events (AEs) in patients undergoing neck dissection. A total of 619 patients were identified, using CPT codes specific to neck dissection. Of the 619 patients undergoing neck dissection, 142 (22.9%) experienced an AE within 30 days of the surgical procedure. Risk factors on multivariate regression analysis associated with increased AEs included dyspnea (odds ratio [OR] 2.57; 95% confidence interval [CI] 1.06 to 6.22; p = 0.037), previous cardiac surgery (OR 3.38; 95% CI 1.08 to 10.52; p = 0.036), increasing anesthesia time (OR 1.005; 95% CI 1 to 1.009; p = 0.036), and increasing total work relative value units (OR 1.09; CI 1.04 to 1.13; p < 0.001). The current study is the largest, most robust analysis to identify specific risk factors associated with AEs after neck dissection. This information will assist with preoperative optimization, patient counseling, and appropriate risk stratification, and it can serve as benchmarking for institutions comparing surgical outcomes.


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