2018
DOI: 10.1016/j.spinee.2017.05.028
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Discriminative ability of commonly used indices to predict adverse outcomes after poster lumbar fusion: a comparison of demographics, ASA, the modified Charlson Comorbidity Index, and the modified Frailty Index

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Cited by 99 publications
(58 citation statements)
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“…Lakomkin et al [17] retrospectively reviewed 6121 patients undergoing revision THA using the ACS-NSQIP database and found a positive but weak association between CCI and adverse events (OR, 1.12; 95% CI, 1.05-1.20). Ondeck et al [18] retrospectively reviewed 16,495 patients undergoing posterior lumbar fusion using the ACS-NSQIP database. Compared to CCI, the authors found the ASA classification system to be a slightly superior predictor for postoperative adverse events.…”
Section: Discussionmentioning
confidence: 99%
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“…Lakomkin et al [17] retrospectively reviewed 6121 patients undergoing revision THA using the ACS-NSQIP database and found a positive but weak association between CCI and adverse events (OR, 1.12; 95% CI, 1.05-1.20). Ondeck et al [18] retrospectively reviewed 16,495 patients undergoing posterior lumbar fusion using the ACS-NSQIP database. Compared to CCI, the authors found the ASA classification system to be a slightly superior predictor for postoperative adverse events.…”
Section: Discussionmentioning
confidence: 99%
“…Patient outcomes are tracked for 30 days after discharge. The data are internally audited to ensure accuracy with reported discrepancy typically around 2% [14] .…”
Section: Methodsmentioning
confidence: 99%
“…The modified frailty index has been applied to patients undergoing lumbar fusion to predict complications, length of stay, readmission, reoperation, and other adverse events. 82,108,153 Disease-specific predictive tools have been developed to assess patients and inform decision-making, including spine surgery. 99,120 As more data become available, these predictive tools will become more precise, informative, and useful.…”
Section: Predictive Analyticsmentioning
confidence: 99%
“…We were also unable to control for surgical choice on a particular case and therefore acknowledge the potential for selection bias. We have used age and ASA as proxy indicators for patient comorbidities with the rationale that these are the best indices in recent research [13]. All-cause revision rates do not capture patients too unwell to undergo revision surgery or for whom the joint replacement may be functioning poorly.…”
Section: Discussionmentioning
confidence: 99%