Faculty Opinions recommendation of American College of Surgeons National Surgical Quality Improvement Program assessment of risk factors for 30-day unplanned readmission in patients undergoing head and neck surgery requiring free tissue reconstruction.

2019 ◽  
Author(s):  
Giulio Cantu
Keyword(s):  
Risk Factors ◽  
Quality Improvement ◽  
Head And Neck ◽  
Neck Surgery ◽  
Program Assessment ◽  
Unplanned Readmission ◽  
Improvement Program ◽  
Surgical Quality ◽  
American College Of Surgeons ◽  
Tissue Reconstruction

scholarly journals Risk factors for unplanned readmission within 30 days after pediatric neurosurgery: a nationwide analysis of 9799 procedures from the American College of Surgeons National Surgical Quality Improvement Program

2016 ◽  
Vol 18 (3) ◽  
pp. 350-362 ◽  
Author(s):  
Brandon A. Sherrod ◽  
James M. Johnston ◽  
Brandon G. Rocque
Keyword(s):  
Risk Factors ◽  
Quality Improvement ◽  
Pediatric Neurosurgery ◽  
Csf Shunt ◽  
Unplanned Readmission ◽  
Readmission Rates ◽  
Improvement Program ◽  
Surgical Quality ◽  
Patient Risk ◽  
American College Of Surgeons

OBJECTIVE Hospital readmission rate is increasingly used as a quality outcome measure after surgery. The purpose of this study was to establish, using a national database, the baseline readmission rates and risk factors for patient readmission after pediatric neurosurgical procedures. METHODS The American College of Surgeons National Surgical Quality Improvement Program–Pediatric database was queried for pediatric patients treated by a neurosurgeon between 2012 and 2013. Procedures were categorized by current procedural terminology (CPT) code. Patient demographics, comorbidities, preoperative laboratory values, operative variables, and postoperative complications were analyzed via univariate and multivariate techniques to find associations with unplanned readmissions within 30 days of the primary procedure. RESULTS A total of 9799 cases met the inclusion criteria, 1098 (11.2%) of which had an unplanned readmission within 30 days. Readmission occurred 14.0 ± 7.7 days postoperatively (mean ± standard deviation). The 4 procedures with the highest unplanned readmission rates were CSF shunt revision (17.3%; CPT codes 62225 and 62230), repair of myelomeningocele > 5 cm in diameter (15.4%), CSF shunt creation (14.1%), and craniectomy for infratentorial tumor excision (13.9%). The lowest unplanned readmission rates were for spine (6.5%), craniotomy for craniosynostosis (2.1%), and skin lesion (1.0%) procedures. On multivariate regression analysis, the odds of readmission were greatest in patients experiencing postoperative surgical site infection (SSI; deep, organ/space, superficial SSI, and wound disruption: OR > 12 and p < 0.001 for each). Postoperative pneumonia (OR 4.294, p < 0.001), urinary tract infection (OR 4.262, p < 0.001), and sepsis (OR 2.616, p = 0.006) also independently increased the readmission risk. Independent patient risk factors for unplanned readmission included Native American race (OR 2.363, p = 0.019), steroid use > 10 days (OR 1.411, p = 0.010), oxygen supplementation (OR 1.645, p = 0.010), nutritional support (OR 1.403, p = 0.009), seizure disorder (OR 1.250, p = 0.021), and longer operative time (per hour increase, OR 1.059, p = 0.029). CONCLUSIONS This study may aid in identifying patients at risk for unplanned readmission following pediatric neurosurgery, potentially helping to focus efforts at lowering readmission rates, minimizing patient risk, and lowering costs for health care systems.

Risk Factors for Conversion from Laparoscopic to Open Surgery: Analysis of 2138 Converted Operations in the American College of Surgeons National Surgical Quality Improvement Program

2013 ◽  
Vol 79 (9) ◽  
pp. 914-921 ◽  
Author(s):  
Dominic Papandria ◽  
Thomas Lardaro ◽  
Daniel Rhee ◽  
Gezzer Ortega ◽  
Amany Gorgy ◽  
...  
Keyword(s):  
Risk Factors ◽  
Quality Improvement ◽  
Open Surgery ◽  
Quality Improvement Program ◽  
Laparoscopic Procedure ◽  
Improvement Program ◽  
Cross Sectional ◽  
Surgical Quality ◽  
Acs Nsqip ◽  
American College Of Surgeons

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.

Complications Associated with Mortality after Head and Neck Surgery: An Analysis of the NSQIP Database

2017 ◽  
Vol 156 (3) ◽  
pp. 504-510 ◽  
Author(s):  
Carolyn L. Mulvey ◽  
Jason A. Brant ◽  
Andrés M. Bur ◽  
Jinbo Chen ◽  
John P. Fischer ◽  
...  
Keyword(s):  
Head And Neck ◽  
Neck Surgery ◽  
Head And Neck Surgery ◽  
National Database ◽  
Multivariate Logistic Regression ◽  
Improvement Program ◽  
Surgical Quality ◽  
Increased Risk ◽  
American College Of Surgeons ◽  
Progressive Renal Insufficiency

Objective To determine which complications, as defined by the American College of Surgeons National Surgical Quality Improvement Program (NSQIP) database, correlate with 30-day mortality in surgery for malignancies of the head and neck. Study Design Retrospective review of prospectively collected national database. Setting NSQIP. Subjects and Methods NSQIP data from 2005 to 2014 were queried for ICD-9 codes head and neck malignancies. Multivariate logistic regression was used to examine the correlation of individual complications with 30-day mortality. Results In total, 15,410 cases met criteria with 3499 complications in 2235 cases. After controlling for patient and surgical variables, postoperative pneumonia ( P = .02; odds ratio [OR], 2.39; 95% confidence interval [CI], 1.15-4.72), progressive renal insufficiency ( P < .001; OR, 21.28; 95% CI, 4.22-87.94), bleeding requiring transfusion ( P = .02; OR, 2.10; 95% CI, 1.12-3.84), sepsis ( P = .02; OR, 2.86; 95% CI, 1.15-6.46), septic shock ( P = .045; OR, 2.87; 95% CI, 0.98-7.81), stroke ( P < .001; OR, 19.81; 95% CI, 6.23-56.03), and cardiac arrest ( P < .001; OR, 135.59; 95% CI, 65.00-286.48) were independently associated with increased odds of 30-day mortality. Conclusion The NSQIP database has been extensively validated and used to examine surgical complications, yet there is little analysis on which complications are associated with death. This study identified complications associated with increased risk of 30-day mortality following head and neck cancer surgery. These associations may be used as a measure of complication severity and should be considered when using the NSQIP database to evaluate outcomes in head and neck surgery.

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