Complication rates following elective lumbar fusion in patients with diabetes: Insulin dependence makes the difference

Spine

Volumn 39, Issue 21, 2014, Pages 1809-1816

  Golinvaux, Nicholas S ^a   Varthi, Arya G ^a   Bohl, Daniel D ^a   Basques, Bryce A ^a   Grauer, Jonathan N ^a  

^a YALE UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

death; extended length of stay; fusion; insulin dependent diabetes mellitus; lumbar; non insulin dependent diabetes mellitus; pneumonia; readmission; sepsis; septic shock; unplanned intubation; urinary tract infection; ventilator assisted respiration; wound dehiscence; wound related infection

Indexed keywords

ADULT; AGED; ARTICLE; ARTIFICIAL VENTILATION; BIBLIOGRAPHIC DATABASE; CEREBROVASCULAR ACCIDENT; COHORT ANALYSIS; COMA; CONTROLLED STUDY; DEATH; DISEASE ASSOCIATION; ELECTIVE SURGERY; FEMALE; HEART ARREST; HEART INFARCTION; HOSPITAL READMISSION; HUMAN; INSULIN DEPENDENT DIABETES MELLITUS; INTUBATION; KIDNEY FAILURE; LENGTH OF STAY; LUMBAR SPINE; MAJOR CLINICAL STUDY; MALE; MIDDLE AGED; NON INSULIN DEPENDENT DIABETES MELLITUS; PNEUMONIA; POSTOPERATIVE COMPLICATION; POSTOPERATIVE INFECTION; POSTOPERATIVE PERIOD; PRIORITY JOURNAL; RETROSPECTIVE STUDY; RISK FACTOR; SEPTIC SHOCK; SPINE FUSION; SURGEON; THROMBOEMBOLISM; URINARY TRACT INFECTION; WOUND DEHISCENCE; WOUND INFECTION; ADOLESCENT; ADVERSE EFFECTS; CHI SQUARE DISTRIBUTION; COMPLICATION; DIABETES MELLITUS, TYPE 1; DIABETES MELLITUS, TYPE 2; FACTUAL DATABASE; LUMBAR VERTEBRA; MORTALITY; MULTIVARIATE ANALYSIS; POSTOPERATIVE COMPLICATIONS; RISK; STATISTICAL MODEL; SURGERY; TIME; TREATMENT OUTCOME; UNITED STATES; YOUNG ADULT;

ANTIDIABETIC AGENT; INSULIN;

ADOLESCENT; ADULT; AGED; CHI-SQUARE DISTRIBUTION; DATABASES, FACTUAL; DIABETES MELLITUS, TYPE 1; DIABETES MELLITUS, TYPE 2; ELECTIVE SURGICAL PROCEDURES; FEMALE; HUMANS; HYPOGLYCEMIC AGENTS; INSULIN; LENGTH OF STAY; LOGISTIC MODELS; LUMBAR VERTEBRAE; MALE; MIDDLE AGED; MULTIVARIATE ANALYSIS; ODDS RATIO; PATIENT READMISSION; POSTOPERATIVE COMPLICATIONS; RETROSPECTIVE STUDIES; RISK FACTORS; SPINAL FUSION; TIME FACTORS; TREATMENT OUTCOME; UNITED STATES; YOUNG ADULT;

EID: 84930089950     PISSN: 03622436     EISSN: 15281159     Source Type: Journal    
DOI: 10.1097/BRS.0000000000000506     Document Type: Article

References (30)

1. Xu F, Town M, Balluz LS, et al. Surveillance for Certain Health Behaviors Among States and Selected Local Areas-United States, 2010. MMWR Surveill Summ 2013; 62: 1-247
2. Centers for Disease Control and Prevention. National Diabetes Fact Sheet: National Estimates and General Information on Diabetes and Prediabetes in the United States, 2011. Atlanta, GA: US Department of Health and Human Services, Centers for Disease Control and Prevention; 2011
3. Shaw JE, Sicree RA, Zimmet PZ. Global estimates of the prevalence of diabetes for 2010 and 2030. Diabetes Res Clin Pract 2010; 87: 4-14
4. Cowie CC, Rust KF, Ford ES, et al. Full accounting of diabetes and pre-diabetes in the US population in 1988-1994 and 2005-2006. Diabetes Care 2009; 32: 287-94
5. Hikata T, Iwanami A, Hosogane N, et al. High preoperative hemoglobin A1c is a risk factor for surgical site infection after posterior thoracic and lumbar spinal instrumentation surgery [published online ahead of print December 25, 2013]. J Orthop Sci 2014; 19: 223-8. doi:10.1007/s00776-013-0518-7
6. Chaichana KL, Bydon M, Santiago-Dieppa DR, et al. Risk of infection following posterior instrumented lumbar fusion for degenerative spine disease in 817 consecutive cases: clinical article. J Neurosurg Spine 2014; 20: 45-52
7. Campbell PG, Yadla S, Malone J, et al. Complications related to instrumentation in spine surgery: a prospective analysis. Neurosurg Focus 2011; 31: E10
8. Schimmel JJ, Horsting PP, de Kleuver M, et al. Risk factors for deep surgical site infections after spinal fusion. Eur Spine J 2010; 19: 1711-9
9. ter Gunne AFP, Cohen DB. Incidence, prevalence, and analysis of risk factors for surgical site infection following adult spinal surgery. Spine 2009; 34: 1422-8
10. Chen S, Anderson MV, Cheng WK, et al. Diabetes associated with increased surgical site infections in spinal arthrodesis. Clin Orthop Relat Res. 2009; 467: 1670-3
11. Browne JA, Cook C, Pietrobon R, et al. Diabetes and early postoperative outcomes following lumbar fusion. Spine 2007; 32: 2214-9
12. Hartin NL, Mehbod AA, Joglekar SB, et al. Fusion risk score: evaluating baseline risk in thoracic and lumbar fusion surgery. Spine 2013; 38: E1616-23
13. Glassman SD, Alegre G, Carreon L, et al. Perioperative complications of lumbar instrumentation and fusion in patients with diabetes mellitus. Spine J 2003; 3: 496-501
14. Takahashi S, Suzuki A, Toyoda H, et al. Characteristics of diabetes associated with poor improvements in clinical outcomes after lumbar spine surgery. Spine 2013; 38: 516-22
15. User Guide for the 2012 ACS NSQIP Participant Use Data File. Chicago, IL: American College of Surgeons; 2013
16. Khuri SF, Henderson WG, Daley J, et al. Successful implementation of the Department of Veterans Affairs' National Surgical Quality Improvement Program in the private sector: the patient safety in surgery study. Ann Surg 2008; 248: 329-36
17. Charlson ME, Pompei P, Ales KL, et al. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis 1987; 40: 373-83
18. Ehlert BA, Nelson JT, Goettler CE, et al. Examining the myth of the "July Phenomenon" in surgical patients. Surgery 2011; 150: 332-8
19. Bohl DD, Fu MC, Gruskay JA, et al. The" July effect" in elective spine surgery: analysis of the American College of Surgeons National Surgical Quality Improvement Program database. Spine 2014; 39: 603-11
20. Sundararajan V, Henderson T, Perry C, et al. New ICD-10 version of the Charlson comorbidity index predicted in-hospital mortality. J Clin Epidemiol 2004; 57: 1288-94
21. D'Hoore W, Bouckaert A, Tilquin C. Practical considerations on the use of the Charlson comorbidity index with administrative data bases. J Clinical Epidemiol 1996; 49: 1429-33
22. Zou G. A modifi ed Poisson regression approach to prospective studies with binary data. Am J Epidemiol 2004; 159: 702-6
23. McNutt L-A, Wu C, Xue X, et al. Estimating the relative risk in cohort studies and clinical trials of common outcomes. Am J Epidemiol 2003; 157: 940-3
24. Greenland S. Model-based estimation of relative risks and other epidemiologic measures in studies of common outcomes and in case-control studies. Am J Epidemiol 2004; 160: 301-5
25. Walid MS, Newman BF, Yelverton JC, et al. Prevalence of previously unknown elevation of glycosylated hemoglobin in spine surgery patients and impact on length of stay and total cost. J Hosp Med 2010; 5: E10-4
26. Walid MS, Zaytseva N. How does chronic endocrine disease affect cost in spine surgery ? World Neurosurg 2010; 73: 578-81
27. Viens N, Hug K, Marchant M, et al. Role of diabetes type in perioperative outcomes after hip and knee arthroplasty in the United States. J Surg Orthop Adv 2011; 21: 253-60
28. Tsang ST, Gaston P. Adverse peri-operative outcomes following elective total hip replacement in diabetes mellitus: a systematic review and meta-analysis of cohort studies. Bone Joint J 2013; 95: 1474-9
29. Yamashita S, Yamaguchi H, Sakaguchi M, et al. Longer-term diabetic patients have a more frequent incidence of nosocomial infections after elective gastrectomy. Anesth Analg 2000; 91: 1176-81
30. Casqueiro J, Casqueiro J, Alves C. Infections in patients with diabetes mellitus: a review of pathogenesis. Indian J Endocrinol Metab 2012; 16 ( suppl 1 ): S27-36.