Multimorbidity Patterns in Patients with Pulmonary Arterial Hypertension Identified Through Hospital Discharge Records: A Network-Based Analysis
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Multimorbidity Patterns in Patients with Pulmonary Arterial Hypertension Identified Through Hospital Discharge Records: A Network-Based Analysis

09/04/2025 Compuscript Ltd

https://www.scienceopen.com/hosted-document?doi=10.15212/CVIA.2025.0008
Announcing a new article publication for Cardiovascular Innovations and Applications journal. Considerable variability exists in the clinical presentations of pulmonary arterial hypertension (PAH). Greater understanding of the comorbidities observed in Chinese patients with PAH is urgently needed.
This 10-year retrospective analysis was based on clinical data from hospital discharge records for individuals diagnosed with PAH (n = 2584. Propensity score matching was used to match patients with PAH to individuals without a PAH diagnosis in a ratio of 1:1, by age, sex, discharge time, and department, over the same period. Multimorbidity networks were constructed based on sex and age, and used the cosine index to measure the co-occurrence of chronic diseases.
The mean numbers of comorbidities were 4.7 and 3.8 for patients with PAH and controls, respectively. The main central and hub disorders were renal osteodystrophy, cardiovascular illnesses, background retinopathy, diabetes mellitus, systemic lupus erythematosus, epilepsy, and autoimmune hemolytic anemia. The average neighbor degree and closeness were significantly smaller in the multimorbidity networks of patients with PAH than control participants (Kolmogorov–Smirnov test, all P < 0.05).
These findings may aid in preventing comorbidities among patients with PAH and deepening understanding of the underlying physiopathological mechanisms.
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CVIA is available on the ScienceOpen platform and at Cardiovascular Innovations and Applications. Submissions may be made using ScholarOne Manuscripts. There are no author submission or article processing fees. Cardiovascular Innovations and Applications is indexed in the EMBASE, EBSCO, ESCI, OCLC, Primo Central (Ex Libris), Sherpa Romeo, NISC (National Information Services Corporation), DOAJ, Index Copernicus, Research4Life and Ulrich’s web Databases. Follow CVIA on Twitter @CVIA_Journal; or Mingze
Shuyuan Zhang, Chengdong Yu and Jingya Zhou et al. Multimorbidity Patterns in Patients with Pulmonary Arterial Hypertension Identified Through Hospital Discharge Records: A Network-Based Analysis. CVIA. 2025. Vol. 10(1). DOI: 10.15212/CVIA.2025.0008
Shuyuan Zhang, Chengdong Yu and Jingya Zhou et al. Multimorbidity Patterns in Patients with Pulmonary Arterial Hypertension Identified Through Hospital Discharge Records: A Network-Based Analysis. CVIA. 2025. Vol. 10(1). DOI: 10.15212/CVIA.2025.0008
09/04/2025 Compuscript Ltd
Regions: Europe, Ireland
Keywords: Health, Medical

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