Establishment of a clinical diagnostic model for gouty arthritis based on the serum biochemical profile
| Autor: | Lyu, Shang, Ding, Ruowen, Yang, Shilin, Chen, Wanyuan, Rao, Yi, OuYang, Hui, Liu, Peng, Feng, Yulin |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Adult
Male Blood Sedimentation Hyperuricemia gouty arthritis Diagnostic Accuracy Study clinical diagnostic model Blood Urea Nitrogen Leukocyte Count disease progression Predictive Value of Tests Clinical Decision Rules Odds Ratio Humans Least-Squares Analysis Principal Component Analysis Hematologic Tests Arthritis Gouty Reproducibility of Results multiple logistic regression analysis Middle Aged Prognosis Uric Acid serum biochemical profile C-Reactive Protein Area Under Curve Case-Control Studies Multivariate Analysis Regression Analysis Female Lipoproteins HDL Biomarkers Research Article |
| Zdroj: | Medicine |
| ISSN: | 1536-5964 0025-7974 |
| Popis: | The disease progression of gouty arthritis (GA) is relatively clear, with the 4 stages of hyperuricemia (HUA), acute gouty arthritis (AGA), gouty arthritis during the intermittent period (GIP), and chronic gouty arthritis (CGA). This paper attempts to construct a clinical diagnostic model based on blood routine test data, in order to avoid the need for bursa fluid examination and other tedious steps, and at the same time to predict the development direction of GA. Serum samples from 579 subjects were collected within 3 years in this study and were divided into a training set (n = 379) and validation set (n = 200). After a series of multivariate statistical analyses, the serum biochemical profile was obtained, which could effectively distinguish different stages of GA. A clinical diagnosis model based on the biochemical index of the training set was established to maximize the probability of the stage as a diagnosis, and the serum biochemical data from 200 patients were used for validation. The total area under the curve (AUC) of the clinical diagnostic model was 0.9534, and the AUCs of the 5 models were 0.9814 (Control), 0.9288 (HUA), 0.9752 (AGA), 0.9056 (GIP), and 0.9759 (CGA). The kappa coefficient of the clinical diagnostic model was 0.80. This clinical diagnostic model could be applied clinically and in research to improve the accuracy of the identification of the different stages of GA. Meanwhile, the serum biochemical profile revealed by this study could be used to assist the clinical diagnosis and prediction of GA. |
| Databáze: | OpenAIRE |
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