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The Bone & Joint Journal
Vol. 104-B, Issue 11 | Pages 1249 - 1255
1 Nov 2022
Williamson TK Passfall L Ihejirika-Lomedico R Espinosa A Owusu-Sarpong S Lanre-Amos T Schoenfeld AJ Passias PG

Aims

Postoperative complication rates remain relatively high after adult spinal deformity (ASD) surgery. The extent to which modifiable patient-related factors influence complication rates in patients with ASD has not been effectively evaluated. The aim of this retrospective cohort study was to evaluate the association between modifiable patient-related factors and complications after corrective surgery for ASD.

Methods

ASD patients with two-year data were included. Complications were categorized as follows: any complication, major, medical, surgical, major mechanical, major radiological, and reoperation. Modifiable risk factors included smoking, obesity, osteoporosis, alcohol use, depression, psychiatric diagnosis, and hypertension. Patients were stratified by the degree of baseline deformity (low degree of deformity (LowDef)/high degree of deformity (HighDef): below or above 20°) and age (Older/Younger: above or below 65 years). Complication rates were compared for modifiable risk factors in each age/deformity group, using multivariable logistic regression analysis to adjust for confounders.


The Bone & Joint Journal
Vol. 99-B, Issue 6 | Pages 824 - 828
1 Jun 2017
Minhas SV Mazmudar AS Patel AA

Aims

Patients seeking cervical spine surgery are thought to be increasing in age, comorbidities and functional debilitation. The changing demographics of this population may significantly impact the outcomes of their care, specifically with regards to complications. In this study, our goals were to determine the rates of functionally dependent patients undergoing elective cervical spine procedures and to assess the effect of functional dependence on 30-day morbidity and mortality using a large, validated national cohort.

Patients and Methods

A retrospective analysis of the American College of Surgeons National Surgical Quality Improvement Program data files from 2006 to 2013 was conducted to identify patients undergoing common cervical spine procedures. Multivariate logistic regression models were generated to analyse the independent association of functional dependence with 30-day outcomes of interest.