Objective

2

To establish the diagnosis model of kidney deficiency syndrome in the convalescent period of ischemic stroke based on multivariate logistic regression.

Methods

2

For a prospective

multi-center

dynamic collection of the four-examination information

181 patients with ischemic stroke in the recovery period who met the inclusion criteria were recruited in 15 centers

and a total of 970 complete data sets were obtained. The diagnostic model of kidney deficiency syndrome was constructed by multiple logistic regression

and the efficacy was evaluated by ROC curve.

Results

2

Twelve factors

including hectic cheek

soreness of waist

frequent urination

amnesia

weak pulse

hot flushes

knee weakness

vexing heat in the five centers (chest

palms and soles)

mental fatigue

cold waist

clear abundant urine

and deep and thready pulse

were screened out as the relevant factors for the establishment of kidney deficiency syndrome in the recovery period of ischemic stroke

and a diagnostic model was established: P = 1 / [1+ Exp (11.223-2.002×hectic cheek -1.861×soreness of waist-1.738×frequency of urination-1.494×amnesia-1.469×weak pulse -1.361×hot flushes-1.297×knee weakness-1.181×vexing heat in the five centers -1.028×mental fatigue -0.742× cold waist-0.722×clear abundant urine -0.594×deep and thready pulse)]. The area under the ROC curve in the predictive function model was 0.946

the Youden index was 0.766

the sensitivity was 90.5%

the specificity was 85.4%

and the diagnostic consistency of the same sample was 84.1%.

Conclusion

2

Through the multivariate logistic regression analysis

a diagnosis model of kidney deficiency syndrome in the recovery period of ischemic stroke was constructed based on the information of the four examinations

providing a tool for the condition.