2020
DOI: 10.1016/j.wneu.2020.01.141
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Elixhauser Comorbidity Measure is Superior to Charlson Comorbidity Index In-Predicting Hospital Complications Following Elective Posterior Cervical Decompression and Fusion

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Cited by 35 publications
(18 citation statements)
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“…Welch’s t -tests were used for comparison of in-hospital LOS and costs of care following the index procedure between the matched cohorts. To determine the association of alcohol use disorder on medical- and implant-related complications, multivariate logistic regression analyses were performed for calculation of the odds ratio (OR) and 95% confidence interval (95% CI) adjusting for age, sex, geographic region, and Elixhauser Comorbidity Index (ECI) 27) .…”
Section: Methodsmentioning
confidence: 99%
“…Welch’s t -tests were used for comparison of in-hospital LOS and costs of care following the index procedure between the matched cohorts. To determine the association of alcohol use disorder on medical- and implant-related complications, multivariate logistic regression analyses were performed for calculation of the odds ratio (OR) and 95% confidence interval (95% CI) adjusting for age, sex, geographic region, and Elixhauser Comorbidity Index (ECI) 27) .…”
Section: Methodsmentioning
confidence: 99%
“…The ECI is a well-known risk adjustment model and has been shown to outperform the Charlson Comorbidity Index in predicting in-hospital outcomes. [22] In the current report, ECI demonstrated acceptable accuracy in predicting in-hospital mortality, complications, LOS and cost and the addition of JHACG-FI to ECI improved the predictive model, in all outcomes except mortality. The improvement in prediction performance was likely observed given that JHACG-FI captured domains of frailty that did not overlap with comorbidities measured by ECI, as the JHACG-FI was observed to be an independent predictor of outcomes when controlled for ECI.…”
Section: Discussionmentioning
confidence: 56%
“…[14][15][16] Of the two, the ECI was shown to more effectively discriminate in-hospital outcomes for a variety of surgical cohorts, including patients undergoing spine surgery. [17][18][19][20][21][22] The predictive performance of ECI has not been established in surgical candidates with metastatic spine disease.…”
Section: Introductionmentioning
confidence: 99%
“…The regression model calculated odds-ratios (OR) and their respective 95% confidence intervals (95%CI) adjusted for age, sex, geographic region, and Elixhauser-Comorbidity Index (ECI). While the Charlson-Comorbidity Index (CCI) has historically been used for observational studies, the current investigation relied on ECI as an adjusting covariate as ECI has been shown not to be only superior to CCI, but also to contain nearly twice as many comorbid conditions, ensuring additional covariate adjustment within the data analyses [ 20 , 21 ]. Due to the ease of finding statistical differences with large administrative claims databases, a Bonferroni-correction was performed to reduce the probability of a type I error, and an alpha-value less than 0.002 was utilized as the threshold to determine statistical significance in the study.…”
Section: Data Analysesmentioning
confidence: 99%