在资源有限的环境中控制高血压:通过预测性见解弥合社会经济差距
Md Abul Kalam Azad1, Md Abu Sufian2,3, Lujain Alsadder4
1Department of Internal Medicine, Rangpur Medical College Hospital, Rangpur, 5400, Bangladesh.
概括
这项研究表明,高等教育,特定的生活方式因素和组合疗法可以改善高血压患者的血压控制. 社会经济因素对管理有重大影响,突出了针对服务不足人群进行量身定制干预的必要性.
科学领域:
- 心脏病学 心脏病学
- 公共卫生 公共卫生
- 医疗信息学 医疗信息学
背景情况:
- 高血压是全球主要的心血管疾病风险因素,特别是在资源有限的环境中.
- 由于多因素的决定因素,有效的血压 (BP) 管理具有挑战性.
- 社会经济地位和医疗保健基础设施的差异阻碍了高血压控制.
研究的目的:
- 在高血压患者中确定个性化血压 (BP) 控制的预测因素.
- 为了利用机器学习来预测BP控制.
- 分析社会人口统计学和临床因素对高血压管理的影响.
主要方法:
- 在孟加拉国300名高血压患者的横截面分析.
- 使用世界卫生组织和NICE指南评估的血压控制.
- 多变量逻辑回归和机器学习 (KNN,SHAP,LIME) 用于预测器识别和BP控制预测.
主要成果:
- 总体BP控制率为28%;农村居民和家庭主妇观察到更好的控制.
- 高等教育,降低胆固醇和组合治疗有助于控制血压.
- 糖尿病,缺血性心脏病,社会经济因素 (收入,获得医疗保健) 是主要障碍.
- KNN模型实现了99%的预测准确度;SHAP将饮食和体育活动确定为可修改的预测因素.
结论:
- 迫切需要在高血压管理中解决可修改的风险因素和社会经济决定因素.
- 数据驱动,可扩展的干预措施对于弥合高血压护理差距至关重要.
- 调查结果支持将社会经济因素纳入考虑,以加强服务不足地区的健康公平.
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