Erschienen in:
02.08.2016 | Original Article
Functional independence measure for elderly patients undergoing aortic valve replacement
verfasst von:
Masaaki Ryomoto, Masataka Mitsuno, Mitsuhiro Yamamura, Hiroe Tanaka, Shinya Fukui, Tetsuya Kajiyama, Ayaka Satou, Yuji Miyamoto, Domen Kazuhisa
Erschienen in:
General Thoracic and Cardiovascular Surgery
|
Ausgabe 1/2017
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Abstract
Objective
This study aimed to evaluate the efficacy of the Functional Independence Measure to assess preoperative frailty for elderly patients undergoing surgical aortic valve replacement.
Methods
Eighty-five patients >65 years who survived elective isolated aortic valve replacement from January 2008 to October 2015 were included. The mean age at the operation was 78 ± 6 years old (n = 28 males, n = 57 females). The patients were divided into two groups according to their status at discharge: impossible to discharge home or hospitalization for >30 days (compromised group, n = 8), or unaffected (unaffected group, n = 77). Preoperative frailty was evaluated with the Functional Independence Measure, which comprises 18 items divided into six domains: self-care, sphincter control, mobility, locomotion, communication, and social cognition.
Results
The preoperative total Functional Independence Measure score was significantly lower in the compromised group (79 ± 32) than in the unaffected group (120 ± 9, p < 0.01). The preoperative motor Functional Independence Measure score was significantly lower in the compromised group (45 ± 24) than in the unaffected group (85 ± 9, p = <0.01). The duration of postoperative intubation, intensive care unit stay, and postoperative hospitalization were significantly longer in the compromised group than in the unaffected group (48 ± 67 vs 16 ± 12 h, p < 0.01; 6.7 ± 5.3 vs 3.4 ± 2.0 days, p < 0.01; 34 ± 27 vs 23 ± 11 days, p = 0.02, respectively).
Conclusions
The preoperative Functional Independence Measure is effective for assessing preoperative frailty in elderly patients undergoing aortic valve replacement in terms of predicting operative morbidity.