...
首页> 外文期刊>PLoS Medicine >Comorbidity health pathways in heart failure patients: A sequences-of-regressions analysis using cross-sectional data from 10,575 patients in the Swedish Heart Failure Registry
【24h】

Comorbidity health pathways in heart failure patients: A sequences-of-regressions analysis using cross-sectional data from 10,575 patients in the Swedish Heart Failure Registry

机译:心力衰竭患者的合并症健康路径:使用瑞典心力衰竭注册中心10575名患者的横断面数据进行的回归序列分析

获取原文
   

获取外文期刊封面封底 >>

       

摘要

Background Optimally treated heart failure (HF) patients often have persisting symptoms and poor health-related quality of life. Comorbidities are common, but little is known about their impact on these factors, and guideline-driven HF care remains focused on cardiovascular status. The following hypotheses were tested: (i) comorbidities are associated with more severe symptoms and functional limitations and subsequently worse patient-rated health in HF, and (ii) these patterns of association differ among selected comorbidities. Methods and findings The Swedish Heart Failure Registry (SHFR) is a national population-based register of HF patients admitted to >85% of hospitals in Sweden or attending outpatient clinics. This study included 10,575 HF patients with patient-rated health recorded during first registration in the SHFR (1 February 2008 to 1 November 2013). An a priori health model and sequences-of-regressions analysis were used to test associations among comorbidities and patient-reported symptoms, functional limitations, and patient-rated health. Patient-rated health measures included the EuroQol–5 dimension (EQ-5D) questionnaire and the EuroQol visual analogue scale (EQ-VAS). EQ-VAS score ranges from 0 (worst health) to 100 (best health). Patient-rated health declined progressively from patients with no comorbidities (mean EQ-VAS score, 66) to patients with cardiovascular comorbidities (mean EQ-VAS score, 62) to patients with non-cardiovascular comorbidities (mean EQ-VAS score, 59). The relationships among cardiovascular comorbidities and patient-rated health were explained by their associations with anxiety or depression (atrial fibrillation, odds ratio [OR] 1.16, 95% CI 1.06 to 1.27; ischemic heart disease [IHD], OR 1.20, 95% CI 1.09 to 1.32) and with pain (IHD, OR 1.25, 95% CI 1.14 to 1.38). Associations of non-cardiovascular comorbidities with patient-rated health were explained by their associations with shortness of breath (diabetes, OR 1.17, 95% CI 1.03 to 1.32; chronic kidney disease [CKD, OR 1.23, 95% CI 1.10 to 1.38; chronic obstructive pulmonary disease [COPD], OR 95% CI 1.84, 1.62 to 2.10) and with fatigue (diabetes, OR 1.27, 95% CI 1.13 to 1.42; CKD, OR 1.24, 95% CI 1.12 to 1.38; COPD, OR 1.69, 95% CI 1.50 to 1.91). There were direct associations between all symptoms and patient-rated health, and indirect associations via functional limitations. Anxiety or depression had the strongest association with functional limitations (OR 10.03, 95% CI 5.16 to 19.50) and patient-rated health (mean difference in EQ-VAS score, ?18.68, 95% CI ?23.22 to ?14.14). HF optimizing therapies did not influence these associations. Key limitations of the study include the cross-sectional design and unclear generalisability to other populations. Further prospective HF studies are required to test the consistency of the relationships and their implications for health. Conclusions Identification of distinct comorbidity health pathways in HF could provide the evidence for individualised person-centred care that targets specific comorbidities and associated symptoms.
机译:背景技术经过最佳治疗的心力衰竭(HF)患者通常具有持续的症状以及与健康相关的不良生活质量。合并症很常见,但对这些因素的影响知​​之甚少,而指南驱动的心衰护理仍然侧重于心血管状况。对以下假设进行了检验:(i)合并症与更严重的症状和功能限制有关,并随后导致HF患者的健康状况恶化,并且(ii)在某些合并症中,这些关联模式有所不同。方法和调查结果瑞典心力衰竭登记系统(SHFR)是一项基于全国人群的HF患者登记表,该患者在瑞典> 85%的医院或就诊的门诊就诊。这项研究纳入了10,575名HF患者,他们在SHFR首次注册时(2008年2月1日至2013年11月1日)记录了患者的健康状况。先验健康模型和回归序列分析用于测试合并症与患者报告的症状,功能限制和患者评估的健康之间的关联。患者评估的健康措施包括EuroQol-5维度(EQ-5D)问卷和EuroQol视觉模拟量表(EQ-VAS)。 EQ-VAS分数的范围从0(最差)到100(最佳)。从无合并症(平均EQ-VAS评分,66)到有心血管合并症的患者(平均EQ-VAS评分,62)到无心血管合并症的患者(平均EQ-VAS评分,59),患者的健康等级逐渐降低。心血管疾病合并症与患者评估的健康之间的关系通过与焦虑或抑郁的关联来解释(房颤,优势比[OR] 1.16、95%CI 1.06至1.27;缺血性心脏病[IHD]或1.20、95%CI 1.09至1.32)并伴有疼痛(IHD或1.25,95%CI为1.14至1.38)。非心血管合并症与患者评估的健康之间的关联可以通过其与呼吸急促的关联来解释(糖尿病或OR 1.17,95%CI 1.03至1.32;慢性肾脏病[CKD,OR 1.23,95%CI 1.10至1.38;慢性阻塞性肺疾病[COPD],或95%CI 1.84,1.62至2.10)并伴有疲劳(糖尿病,或1.27,95%CI 1.13至1.42; CKD,或1.24,95%CI 1.12至1.38; COPD,或1.69, 95%CI 1.50至1.91)。在所有症状和患者评估的健康之间存在直接关联,而在功能限制方面存在间接关联。焦虑或抑郁与功能受限(OR 10.03,95%CI 5.16至19.50)和患者评分的健康状况(EQ-VAS评分的均值差异,?18.68,95%CI?23.22至?14.14)之间的关联最大。 HF优化疗法并未影响这些关联。该研究的主要局限性包括横断面设计和对其他人群的不清楚的普遍性。需要进一步的前瞻性HF研究以测试关系的一致性及其对健康的影响。结论HF中不同的合并症健康途径的鉴定可以为针对特定合并症和相关症状的以人为中心的个性化护理提供证据。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号