Physical Performance and Risk of Postoperative Delirium in Older Adults Undergoing Aortic Valve Replacement
- PMID: 32921993
- PMCID: PMC7455771
- DOI: 10.2147/CIA.S257079
Physical Performance and Risk of Postoperative Delirium in Older Adults Undergoing Aortic Valve Replacement
Abstract
Background: Delirium is a major risk factor for poor recovery after surgical aortic valve replacement (SAVR) and transcatheter aortic valve replacement (TAVR). It is unclear whether preoperative physical performance tests improve delirium prediction.
Objective: To examine whether physical performance tests can predict delirium after SAVR and TAVR, and adapt an existing delirium prediction rule for cardiac surgery, which includes Mini-Mental State Examination (MMSE), depression, prior stroke, and albumin level.
Design: Prospective cohort, 2014-2017.
Setting: Single academic center.
Subjects: A total of 187 patients undergoing SAVR (n=77) or TAVR (n=110).
Methods: The Short Physical Performance Battery (SPPB) score was calculated based on gait speed, balance, and chair stands (range: 0-12 points, lower scores indicate poor performance). Delirium was assessed using the Confusion Assessment Method. We fitted logistic regression to predict delirium using SPPB components and risk factors of delirium.
Results: Delirium occurred in 35.8% (50.7% in SAVR and 25.5% in TAVR). The risk of delirium increased for lower SPPB scores: 10-12 (28.2%), 7-9 (34.5%), 4-6 (37.5%) and 0-3 (44.1%) (p-for-trend=0.001). A model that included gait speed <0.46 meter/second (OR, 2.7; 95% CI, 1.2-6.4), chair stands time ≥11.2 seconds (OR, 3.5; 95% CI, 1.0-12.4), MMSE <24 points (OR, 2.9; 95% CI, 1.3-6.4), isolated SAVR (OR, 5.4; 95% CI, 2.1-13.8), and SAVR and coronary artery bypass grafting (OR, 15.8; 95% CI, 5.5-45.7) predicted delirium better than the existing prediction rule (C statistics: 0.71 vs 0.61; p=0.035).
Conclusion: Assessing physical performance, in addition to cognitive function, can help identify high-risk patients for delirium after SAVR and TAVR.
Keywords: aortic valve replacement; delirium; physical performance; prediction.
© 2020 Rao et al.
Conflict of interest statement
Jeffrey J. Popma reports grants from Medtronic, Boston Scientific, and Abbott, and grants and personal fees from Edwards, outside the submitted work. Kimberly Guibone reports personal fees from Medtronic, outside the submitted work. Dae Hyun Kim reports grants from NIH, during the conduct of the study. Sandra M. Shi receives sponsorship from the Harvard Translational Research in Aging Training Program, T32 AG023480. The authors report no other potential conflicts of interest for this work.
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