Surgical risk preoperative assessment system (SURPAS) I. Parsimonious, clinically meaningful groups of postoperative complications by factor analysis

Annals of Surgery

Volumn 263, Issue 6, 2016, Pages 1042-1048

  Meguid, Robert A ^a   Bronsert, Michael R ^a   Juarez Colunga, Elizabeth ^a,b   Hammermeister, Karl E ^a   Henderson, William G ^a,b  

^a UNIVERSITY OF COLORADO SCHOOL OF MEDICINE   (United States)

^b Food Science and Human Nutrition   (United States)

Author keywords

Data driven clustering of surgical outcomes; Factor analysis; Postoperative risk prediction models; Surgical outcomes; Surgical risk assessment

Indexed keywords

ACUTE KIDNEY FAILURE; ARTICLE; CEREBROVASCULAR ACCIDENT; FACTORIAL ANALYSIS; HEALTH CARE QUALITY; HEART ARREST; HEART DISEASE; HEART INFARCTION; HUMAN; KIDNEY FAILURE; LUNG DISEASE; MAJOR CLINICAL STUDY; MORBIDITY; PEROPERATIVE COMPLICATION; PNEUMONIA; POSTOPERATIVE COMPLICATION; POSTOPERATIVE INFECTION; PREOPERATIVE EVALUATION; PRIORITY JOURNAL; RISK ASSESSMENT; SEPSIS; SEPTIC SHOCK; SURGICAL INFECTION; SURGICAL RISK; SURGICAL RISK PREOPERATIVE ASSESSMENT SYSTEM; TRANSFUSION; URINARY TRACT INFECTION; VENOUS THROMBOEMBOLISM; WOUND DEHISCENCE; FACTOR ANALYSIS; HEALTH SERVICES RESEARCH; OUTCOME ASSESSMENT; POSTOPERATIVE COMPLICATIONS; PROCEDURES; REPRODUCIBILITY; TOTAL QUALITY MANAGEMENT; UNITED STATES;

FACTOR ANALYSIS, STATISTICAL; HEALTH SERVICES RESEARCH; HUMANS; OUTCOME ASSESSMENT (HEALTH CARE); POSTOPERATIVE COMPLICATIONS; QUALITY IMPROVEMENT; QUALITY INDICATORS, HEALTH CARE; REPRODUCIBILITY OF RESULTS; RISK ASSESSMENT; UNITED STATES;

EID: 84960121198     PISSN: 00034932     EISSN: 15281140     Source Type: Journal    
DOI: 10.1097/SLA.0000000000001669     Document Type: Article

References (38)

1. Goldfarb M, Perry Z, Hodin A, et al. Medical and surgical risks in thyroid surgery: lessons from the NSQIP. Ann Surg Oncol. 2011;18:3551-3558.
2. Gupta PK, Miller WJ, Sainath J, et al. Determinants of resource utilization and outcomes in laparoscopic Roux-en-Y gastric bypass: a multicenter analysis of 14, 251 patients. Surg Endosc. 2011;25:2613-2625.
3. Gupta PK, Turaga KK, Miller WJ, et al. Determinants of outcomes in pancreatic surgery and use of hospital resources. J Surg Oncol. 2011; 104:634-640.
4. Gupta PK, Smith RB, Gupta H, et al. Outcomes after thyroidectomy and parathyroidectomy. Head Neck. 2012;34:477-484.
5. Ismael H, Horst M, Farooq M, et al. Adverse effects of preoperative steroid use on surgical outcomes. Am J Surg. 2011;201:305-308.
6. Kim MJ, Fleming FJ, Gunzler DD, et al. Laparoscopic appendectomy is safe and efficacious for the elderly: an analysis using the National Surgical Quality Improvement Project database. Surg Endosc. 2011;25:1802-1807.
7. Lancaster RT, Hutter MM. Bands and bypasses: 30-day morbidity and mortality of bariatric surgical procedures as assessed by prospective, multi-center, risk-adjusted ACS-NSQIP data. Surg Endosc. 2008;22:2554-2563.
8. Lidor AO, Chang DC, Feinberg RL, et al. Morbidity and mortality associated with antireflux surgery with or without paraesophogeal hernia: a large ACS NSQIP analysis. Surg Endosc. 2011;25:3101-3108.
9. Al-Refaie WB, Parsons HM, Habermann EB, et al. Operative outcomes beyond 30-day mortality: colorectal cancer surgery in oldest old. Ann Surg. 2011;253: 947-952.
10. Belmont PJ Jr, Davey S, Orr JD, et al. Risk factors for 30-day postoperative complications and mortality after below-knee amputation: a study of 2, 911 patients from the national surgical quality improvement program. J Am Coll Surg. 2011;213:370-378.
11. Fleming FJ, Kim MJ, Gunzler D, et al. It's the procedure not the patient: the operative approach is independently associated with an increased risk of complications after rectal prolapse repair. Colorectal Dis. 2012;14:362-368.
12. Greenblatt DY, Kelly KJ, Rajamanickam V, et al. Preoperative factors predict perioperative morbidity and mortality after pancreaticoduodenectomy. Ann Surg Oncol. 2011;18:2126-2135.
13. Kelly KJ, Greenblatt DY, Wan Y, et al. Risk stratification for distal pancrea-tectomy utilizing ACS-NSQIP: preoperative factors predict morbidity and mortality. J Gastrointest Surg. 2011;15:250-259.
14. Advani V, Ahad S, Gonczy C, et al. Does resident involvement effect surgical times and complication rates during laparoscopic appendectomy for uncomplicated appendicitis? An analysis of 16, 849 cases from the ACS-NSQIP. Am J Surg. 2012;203:347-351.
15. Bilimoria KY, Liu Y, Paruch JL, et al. Development and evaluation of the universal ACS NSQIP surgical risk calculator: a decision aid and informed consent tool for patients and surgeons. J Am Coll Surg. 2013;217:833-842.
16. Davenport DL, Xenos ES. Early outcomes and risk factors in venous throm-bectomy: an analysis of the American College of Surgeons NSQIP dataset. Vasc Endovascular Surg. 2011;45:325-328.
17. Greenblatt DY, Rajamanickam V, Pugely AJ, et al. Short-term outcomes after laparoscopic-assisted proctectomy for rectal cancer: results from the ACS NSQIP. J Am Coll Surg. 2011;212:844-854.
18. Kazaure HS, Roman SA, Sosa JA. Obesity is a predictor of morbidity in 1, 629 patients who underwent adrenalectomy. World J Surg. 2011;35:1287-1295.
19. Kazaure HS, Roman SA, Sosa JA. The resident as surgeon: an analysis of ACS-NSQIP. J Surg Res. 2012;178:126-132.
20. Leichtle SW, Kaoutzanis C, Mouawad NJ, et al. Classic Whipple versus pylorus-preserving pancreaticoduodenectomy in the ACS NSQIP. J Surg Res. 2013;183:170-176.
21. Liu JJ, Maxwell BG, Panousis P, et al. Perioperative outcomes for laparoscopic and robotic compared with open prostatectomy using the National Surgical Quality Improvement Program (NSQIP) database. Urology. 2013;82:579-583.
22. Suleiman LI, Ortega G, Ong'uti SK, et al. Does BMI affect perioperative complications following total knee and hip arthroplasty? J Surg Res. 2012;174:7-11.
23. Thomas DC, Roman SA, Sosa JA. Parathyroidectomy in the elderly: analysis of 7313 patients. J Surg Res. 2011;170:240-246.
24. Turan A, Yang D, Bonilla A, et al. Morbidity and mortality after massive transfusion in patients undergoing non-cardiac surgery. Can J Anaesth. 2013;60:761-770.
25. Uppal S, Al-Niaimi A, Rice LW, et al. Preoperative hypoalbuminemia is an independent predictor of poor perioperative outcomes in women undergoing open surgery for gynecologic malignancies. Gynecol Oncol. 2013;131:416-422.
26. Chung BT, Morris SF. Confirmatory factor analysis of the Michigan Hand Questionnaire. Ann Plast Surg. 2015;74:176-181.
27. Sailors MH, Bodurka DC, Gning I, et al. Validating the M. D. Anderson Symptom Inventory (MDASI) for use in patients with ovarian cancer. Gynecol Oncol. 2013;130:323-328.
28. Harris K, Dawson J, Doll H, et al. Can pain and function be distinguished in the Oxford Knee Score in a meaningful way? An exploratory and confirmatory factor analysis. Qual Life Res. 2013;22:2561-2568.
29. Berg K, Idvall E, Nilsson U, et al. Psychometric evaluation of the post-discharge surgical recovery scale. J Eval Clin Pract. 2010;16:794-801.
30. Corsica JA, Azarbad L, McGill K, et al. The Personality Assessment Inventory: clinical utility, psychometric properties, and normative data for bariatric surgery candidates. Obes Surg. 2010;20:722-731.
31. Hall BJ, Hood MM, Nackers LM, et al. Confirmatory factor analysis of the Beck Depression Inventory-II in bariatric surgery candidates. Psychol Assess. 2013;25:294-299.
32. Mahony D. Psychological assessments of bariatric surgery patients. Development, reliability, and exploratory factor analysis of the PsyBari. Obes Surg. 2011;21:1395-1406.
33. Allen DD, Gorton GE, Oeffinger DJ, et al. Analysis of the pediatric outcomes data collection instrument in ambulatory children with cerebral palsy using confirmatory factor analysis and item response theory methods. J Pediatr Orthop. 2008;28:192-198.
34. Raval MV, Hamilton BH, Ingraham AM, et al. The importance of assessing both inpatient and outpatient surgical quality. Ann Surg. 2011;253:611-618.
35. Shiloach M, Frencher SK Jr, Steeger JE, et al. Toward robust information: data quality and inter-rater reliability in the American College of Surgeons National Surgical Quality Improvement Program. J Am Coll Surg. 2010;210:6-16.
36. Kaiser HF. The application of electronic computers to factor analysis. Educ Psychol Meas. 1960;20:141-151.
37. Velicer WF, Jackson DN. Component analysis versus common factor analysis-some further observations. Multivariate Behav Res. 1990;25:97-114.
38. Bauer JD, Jackson A, Skwarchuk M, et al. Principal component, Varimax rotation and cost analysis of volume effects in rectal bleeding in patients treated with 3D-CRT for prostate cancer. Phys Med Biol. 2006;51:5105-5123.