To explore the application value of big data technology in coarse screening of elderly debilitating syndrome.

A total of 118 elderly patients in the People's Hospital of Xinjiang Uygur Autonomous Region from July to August 2017 were selected as subjects. They were all completed with Fried's weak phenotypic assessment. Big data technology (Hadoop) were subsequently used to collect and sort out the indicators. Based on the cumulative defect index (FI), and combine with other evaluation tools, an evaluation index system to simulate the FI value were established. By continuously adjusting the indicator items, the set of indicators that fit the relevance and consistency of the Fried weak phenotypic assessment were determined.

Fried fragility phenotypic staging: 28 cases without fragility, 68 cases with weak pre- fragility, and 22 cases with fragility; Big data technology automatically evaluated coarse screening: 8 cases without fragility and 110 cases with fragility (not distinguishing between pre-fragility and fragility). The mean simulated FI calculated for elderly patients using big data technology was 0.58 ± 0.20. The increase in FI value was positively correlated with Fried stage (r=0.607, P<0.01). Based on the Fried fragility phenotypic staging results, the elderly were divided into two groups: no fragility and fragility (pre- fragility + fragility). The ROC curve was drawn into the final FI value, and the area under the curve (AUC) was 0.912 ( 95% CI: 0.861-0.963, P <0.01), the FI threshold was 0.28, and the sensitivity, specificity and Youden index were 99%, 75%, and 0.74, respectively. FI=0.28 was introduced into the big data technology assessment method, and the Kappa value of the weak screening test results of the elderly group and the Fried weak phenotypic staging results was 0.169 (P<0.01).

It is feasible to use the big data technology to establish a model for the fragility and coarse screening of the elderly in the hospital. The screening results have a certain consistency with the Fried fragility phenotypic staging results, which can provide reference for clinical diagnosis.