Congenital heart disease and comorbidities in primary care: a cross-sectional study

Sarah Ellison, James Partington, Anna Watkin, Chris Buckels, Sujeet Jaydeokar
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Abstract

Patients with congenital heart disease are living longer as a result of surgical and medical advances. General practice is key in identifying and supporting lifelong care, yet there is a lack of research into congenital heart disease in this area. This study aimed to explore the prevalence and comorbidities of patients with congenital heart disease compared to those without congenital heart disease in primary care settings in Cheshire, England. This cross-sectional study used routinely collected health data from the NHS general practice population information disease database within primary care in Cheshire. Clinical read codes for congenital heart disease were added to the current data analytics risk stratification tool. Searches for patients of all ages with and without congenital heart disease were undertaken in July 2022. A total of 765 576 patients were included in the study. Of 765 576 patient records, 6419 patients were coded with congenital heart disease, a prevalence of 0.8%, with a comparatively younger age compared with the non-congenital heart disease cohort. Patients with congenital heart disease were three times more likely to have heart failure (odds ratio=3.36; 95% confidence interval=2.96−3.81) or stroke (odds ratio=3.58; 95% confidence interval=3.24–3.94). The most frequent comorbidities in both groups were hypertension, anxiety and depression, with no significant difference between the groups. Among those with congenital heart disease, the prevalence of a learning disability was more than eight times higher than those without congenital heart disease (odds ratio=9.23; 95% confidence interval=8.16–10.55) and autism was three times more likely (odds ratio=2.98; 95% confidence interval=2.32–3.84) in those with congenital heart disease. There are high rates of comorbidities in the congenital heart disease population in primary care. Innovative use of digital instruments can enable identification and risk stratification of patients with congenital heart disease to support lifelong care. Congenital heart disease guidance should include primary care settings to create opportunities for mutual learning that can enhance collaborative practice.
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初级保健中的先天性心脏病和合并症:横断面研究
由于手术和医疗技术的进步,先天性心脏病患者的寿命越来越长。全科医生是识别和支持终生护理的关键,但该领域缺乏对先天性心脏病的研究。本研究旨在探讨英国柴郡初级医疗机构中先天性心脏病患者与非先天性心脏病患者的患病率和合并症。这项横断面研究使用了从柴郡初级医疗机构的英国国家医疗服务体系全科人口信息疾病数据库中定期收集的健康数据。先天性心脏病的临床读码被添加到当前的数据分析风险分层工具中。2022 年 7 月,对患有和未患有先天性心脏病的各年龄段患者进行了搜索。共有 765 576 名患者被纳入研究。在 765 576 份病历中,有 6419 名患者被编码为患有先天性心脏病,患病率为 0.8%,与非先天性心脏病患者相比,年龄相对较小。先天性心脏病患者发生心力衰竭(几率比=3.36;95% 置信区间=2.96-3.81)或中风(几率比=3.58;95% 置信区间=3.24-3.94)的几率是非先天性心脏病患者的三倍。两组中最常见的合并症是高血压、焦虑和抑郁,组间无显著差异。在先天性心脏病患者中,学习障碍的发病率是无先天性心脏病患者的八倍多(几率比=9.23;95%置信区间=8.16-10.55),自闭症的发病率是先天性心脏病患者的三倍多(几率比=2.98;95%置信区间=2.32-3.84)。在基层医疗机构中,先天性心脏病患者的合并症发生率很高。创新性地使用数字化工具可以识别先天性心脏病患者并对其进行风险分层,从而为终生护理提供支持。先天性心脏病指导应包括初级医疗机构,以创造相互学习的机会,加强合作实践。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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