Risk for Poor Post-Operative Quality of Life Among Wearable Use Subgroups in an All of Us Research Cohort
Risk for Poor Post-Operative Quality of Life Among Wearable Use Subgroups in an All of Us Research Cohort
复制标题
我们所有人研究队列中可穿戴设备亚组术后生活质量差的风险
DOI:
10.1142/9789811270611_0004
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发表时间:
2022
影响因子:
--
通讯作者:
Casey Overby Taylor
中科院分区:
文献类型:
--
作者:
Nidhi Soley;Shanshan Song;N. Flaks;Casey Overby Taylor
The objective of this research was to build and assess the performance of a prediction model for postoperative recovery status measured by quality of life among individuals experiencing a variety of surgery types. In addition, we assessed the performance of the model for two subgroups (high and moderately consistent wearable device users). Study variables were derived from the electronic health records, questionnaires, and wearable devices of a cohort of individuals with one of 8 surgery types and that were part of the NIH All of Us research program. Through multivariable analysis, high frailty index (OR 1.69, 95% 1.05-7.22, p<0.006), and older age (OR 1.76, 95% 1.55-4.08, p<0.024) were found to be the driving risk factors of poor recovery post-surgery. Our logistic regression model included 15 variables, 5 of which included wearable device data. In wearable use subgroups, the model had better accuracy for high wearable users (81%). Findings demonstrate the potential for models that use wearable measures to assess frailty to inform clinicians of patients at risk for poor surgical outcomes. Our model performed with high accuracy across multiple surgery types and were robust to variable consistency in wearable use.
DOI:
10.1056/nejmsr1809937
发表时间:
2019-08-15
期刊:
The New England journal of medicine
影响因子:
--
作者:
All of Us Research Program Investigators;Denny JC;Rutter JL;Goldstein DB;Philippakis A;Smoller JW;Jenkins G;Dishman E
通讯作者:
Dishman E