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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 2 of 2 Research Studies DisplayedLaskow T, Zhu J, Buta B
Risk factors for nonresilient outcomes in older adults after total knee replacement.
The purpose of this study was to develop a simple measure of physical resilience and identify risk factors for nonresilient patient outcomes in total knee replacement procedures (TKR). The researchers conducted a secondary analysis of the Function and Outcomes Research for Comparative Effectiveness in Total Joint Replacement (FORCE-TJR) cohort study, including 7,239 adults aged 60 or older who underwent TKR between 2011 and 2015. The study found that the variables of age, body mass index, and Charlson Comorbidity Index (CCI) were associated with increased risk of physically nonresilient outcomes across the 3 patient-reported outcomes of the physical component summary (PCS), bodily pain (BP), and vitality (VT). A household income of greater than $45 000 associated with lower risk for PCS (RR = 0.81 [0.70-0.93]), BP (RR = 0.80 [0.69-0.91]), and VT (RR = 0.86 [0.78-0.93]). CONCLUSIONS: We operationalized physical resilience and identified factors predicting resilience after TKR. This approach may aid clinical risk stratification, guide further investigation of causes, and ultimately aid patients through the design of interventions to enhance physical resilience.
AHRQ-funded; HS018910.
Citation: Laskow T, Zhu J, Buta B .
Risk factors for nonresilient outcomes in older adults after total knee replacement.
J Gerontol A Biol Sci Med Sci 2022 Sep;77(9):1915-22. doi: 10.1093/gerona/glab257..
Keywords: Orthopedics, Surgery, Elderly, Risk
Fatemi P, Zhang Y, Han SS
A, et al. External validation of a predictive model of adverse events following spine surgery.
The authors externally validated a previously developed predictive model for common 30-day adverse events after spine surgery, the Risk Assessment Tool for Adverse Events after Spine Surgery (RAT-Spine). Their results are presented as low-, moderate-, and high-risk designations.
AHRQ-funded; HS023800.
Citation: Fatemi P, Zhang Y, Han SS .
A, et al. External validation of a predictive model of adverse events following spine surgery.
Spine J 2022 Jan;22(1):104-12. doi: 10.1016/j.spinee.2021.06.006..
Keywords: Surgery, Adverse Events, Orthopedics, Risk