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OBJECTIVE Frailty’s role in preoperative risk assessment in spine surgery has increased in association with the increasing size of the aging population. However, previous frailty assessment tools have significant limitations. The aim of this study was to compare the predictive ability of the Risk Analysis Index (RAI) with the 5-factor modified frailty index (mFI-5) for postoperative spine surgery morbidity and mortality. METHODS Data were collected from the American College of Surgeons National Surgical Quality Improvement Program database for adults > 18 years who underwent spine surgery between 2015 and 2019. Multivariate modeling and receiver operating characteristic curve analysis, including area under the curve/C-statistic calculations, were performed to evaluate the comparative discriminative ability of RAI and mFI-5 on postoperative outcomes. RESULTS In a cohort of 292,225 spine surgery patients, multivariate modeling showed that increasing RAI scores, and not increasing mFI-5 scores, were independent predictors of increased postoperative mortality for the trauma, tumor, and infection subcohorts. In the overall spine cohort, both increasing RAI and increasing mFI-5 scores were associated with increased mortality, but C-statistics indicated that the RAI (C-statistic 0.802 [95% CI 0.800–0.803], p < 0.0001, DeLong test) had superior discrimination compared with the mFI-5 (C-statistic 0.677 [95% CI 0.675–0.679], p < 0.0001, DeLong test). In subgroup analyses, the RAI had superior discriminative ability to mFI-5 for mortality in the trauma and infection groups (p < 0.001 and p = 0.039, respectively). CONCLUSIONS The RAI demonstrates superior discrimination to the mFI-5 for predicting postoperative mortality and morbidity after spine surgery and the RAI maintains conceptual fidelity to the frailty phenotype. Patients with high RAI scores may benefit from knowing the possibility of increased surgical risk with potential spine surgery.

Background: Clear and complete reporting of the components of complex interventions is required in clinical trials to ensure that research can be reliably replicated and successfully translated into clinical practice. Movement-based mind-body exercises, such as Tai Chi, qigong, and Yoga (TQY), are considered complex interventions and recommended for individuals with osteoarthritis in the latest guidelines of the American College of Rheumatology. This review analyzes the intervention reporting of randomized controlled trials of TQY to guide the implementation in osteoarthritis exercise programs.Methods: We searched PubMed, Cochrane Central Register of Controlled Trials, and EMBASE for TQY exercise trials in osteoarthritis between 2000 and 2020. Pairs of researchers independently screened the records, extracted study characteristics, and assessed 19 items on the Consensus on Exercise Reporting Template (CERT) checklist. For each of these items, the numbers of studies that clearly reported the item were calculated. We then identified the items in the studies that are key to delivering home-based exercises for further analysis.Results: We included 27 publications reporting 22 TQY interventions in the analysis. None of the studies reported sufficient details on all the 19 CERT items. The median completeness of reporting score was 11 and ranged from 6 to 15 of 19. The most frequently incompletely reported items (number reporting and percentage of studies) were ''starting level rule'' (n = 1, 5%) and ''progression rule'' (n = 1, 5%). Other incompletely reported items included ''fidelity or adherence (planned)'' (n = 9, 41%), ''motivations'' (n = 9, 41%), and ''progression description'' (n = 5, 23%).Conclusions: The content analysis highlights motivational strategies for long-term adherence to home-based exercises, which may help clinicians develop interventions for their patients. Details of TQY exercises interventions for osteoarthritis are incompletely reported in the included studies. The study suggests that improvements in content reporting are especially needed on items related to exercise intensity and program progression decisions, and motivational strategies in future implementation.

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