基于数据挖掘的运动康复疗法在膝骨关节炎防治中的应用效果分析。

Analysis of the Application Effect of Exercise Rehabilitation Therapy Based on Data Mining in the Prevention and Treatment of Knee Osteoarthritis.

机构信息

Department of Public Health, Neck-Shoulder and Lumbocrural Pain Hospital of Shandong First Medical University, Jinan, Shandong 250062, China.

School of Graduate Education, Shandong Institute of P.E. and Sports, Jinan, Shandong 250100, China.

出版信息

Comput Math Methods Med. 2022 Sep 5;2022:2109528. doi: 10.1155/2022/2109528. eCollection 2022.

DOI:10.1155/2022/2109528

PMID:36105247

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9467779/

Abstract

OBJECTIVE

To analyze the application effect of exercise rehabilitation therapy based on data mining in the prevention and treatment of knee osteoarthritis.

METHODS

Based on clinical data mining technology, that is, using complex network technology and association rules, the medical records of 1612 patients with KOA in the Department of Rheumatology and Immunology of our hospital were retrospectively analyzed, and they were divided into groups according to whether they used exercise rehabilitation therapy ( = 786), and the control treatment group ( = 826), the curative effect, the improvement of inflammatory factors and immune factors, the visual analogue scale (VAS), the knee joint function score (Lysholm), and the quality of life (WOMAC) scale were compared between the two groups score, analyze the relationship between VAS and Lysholm score and prognosis quality of life, and compare the recurrence within 12 months between the two groups.

RESULTS

The data mining results showed that the curative effect of the exercise rehabilitation therapy group was significantly higher than that of the control treatment group ( < 0.05); the improvement of VAS and Lysholm scores of the exercise rehabilitation therapy group was significantly better than that of the control treatment group ( < 0.05). The improvement effect of inflammatory indexes and immune cytokines was significantly better than that of the control treatment group ( < 0.05); the improvement of WOMAC in the exercise rehabilitation therapy group was significantly better than that of the control treatment group ( < 0.05); VAS and WOMAC scores were significantly positively correlated ( = 0.579, < 0.05); Lysholm score was positively correlated with WOMAC score ( = -0.563, < 0.05); the recurrence rate of exercise rehabilitation therapy group was 5.09%, which was significantly lower than that of control treatment group (17.63% ( = 11.967), < 0.05).

CONCLUSION

Exercise rehabilitation therapy for KOA patients can effectively improve inflammatory and immune factors in patients, enhance knee joint function and prognosis quality of life, and reduce readmission rate, which is worthy of clinical application.

摘要

目的

分析基于数据挖掘的运动康复疗法在膝骨关节炎防治中的应用效果。

方法

基于临床数据挖掘技术，即利用复杂网络技术和关联规则，回顾性分析我院风湿免疫科收治的 1612 例膝骨关节炎患者的病历资料，根据是否采用运动康复疗法将其分为治疗组（n=786）和对照组（n=826），比较两组的疗效、炎症因子和免疫因子改善情况、视觉模拟评分（VAS）、膝关节功能评分（Lysholm）和生活质量（WOMAC）评分，分析 VAS 与 Lysholm 评分与预后生活质量的关系，比较两组 12 个月内的复发情况。

结果

数据挖掘结果显示，运动康复疗法组的疗效明显高于对照组（P<0.05）；运动康复疗法组 VAS 和 Lysholm 评分改善明显优于对照组（P<0.05）；炎症指标和免疫细胞因子的改善效果明显优于对照组（P<0.05）；运动康复疗法组 WOMAC 改善明显优于对照组（P<0.05）；VAS 与 WOMAC 评分呈显著正相关（r=0.579，P<0.05）；Lysholm 评分与 WOMAC 评分呈正相关（r=-0.563，P<0.05）；运动康复疗法组的复发率为 5.09%，明显低于对照组（17.63%（ = 11.967），P<0.05）。