Volume 23 Issue 1
Jan.  2025
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Article Navigation >  Chinese Journal of General Practice  > 2025  >  23(1): 59-64
HE Wenchao, ZHU Mucheng, SU Quanbin, ZHANG Qi, ZENG Wenbao, YAO Siqi, ZHANG Zhengyi. A study on clinical characteristics and prognostic factors of HFpEF patients using ARNI based on latent class analysis[J]. Chinese Journal of General Practice, 2025, 23(1): 59-64. doi: 10.16766/j.cnki.issn.1674-4152.003835
Citation: HE Wenchao, ZHU Mucheng, SU Quanbin, ZHANG Qi, ZENG Wenbao, YAO Siqi, ZHANG Zhengyi. A study on clinical characteristics and prognostic factors of HFpEF patients using ARNI based on latent class analysis[J]. Chinese Journal of General Practice, 2025, 23(1): 59-64. doi: 10.16766/j.cnki.issn.1674-4152.003835
shu

A study on clinical characteristics and prognostic factors of HFpEF patients using ARNI based on latent class analysis

doi: 10.16766/j.cnki.issn.1674-4152.003835
  • 1.

    Department of General Practice, the Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, Gansu 730000, China

Funds:

 23YFFFA0039

  • Received Date: 2024-07-18
    Available Online: 2025-02-13
    Abstract
  •   Objective   This study applied the potential category analysis method with the aim of observing the efficacy of angiotensin receptor enkephalinase inhibitors in patients with HFpEF and analyzing the factors affecting the prognosis of the patients and the related different characteristic subtypes.   Methods   Clinical data of HFpEF patients hospitalized in the Second Hospital of Lanzhou University with ARNI from December 2018 to June 2023 were collected with a one-year follow-up. LASSO regression was used to screen variables, and patient subgroups were explored by latent class analysis (LCA) to determine the optimal number of clusters and to compare the differences in clinical characteristics and prognosis between phenotype groups.   Results   The 1-year mortality rate for patients hospitalized with HFpEF was 37.9% (85 cases). Compared with patients in the nonfatal group, deceased patients were older, had higher creatinine, NT-proBNP, glucose, and urea nitrogen; and had lower BMI, lymphocytes, blood calcium, and albumin. LCA identified 4 phenotypes: phenotype 1 for overweight middle-aged and elderly patients with better renal function and comorbid pulmonary hypertension and atrial fibrillation, with a better prognosis; and phenotype 2 for elderly patients with poor renal function, the highest NT-proBNP, and comorbidities, with poor prognosis; phenotype 3 with the youngest age, the best renal function, mild symptoms of heart failure, good nutritional condition, and fewer comorbidities, with the best prognosis; and phenotype 4 with the lowest BMI, glucose, and serum albumin, the worst renal function, and a combination of pulmonary arterial hypertension, chronic obstructive pulmonary disease, with the poorest prognosis.   Conclusion   Advanced age, poor nutritional status, renal insufficiency, and combined pulmonary hypertension are influential factors in the mortality of patients with HFpEF. The discovery of four HFpEF patient phenotypes with different characteristics and prognostic differences provides a new basis for the application of ARNI in HFpEF patients.

     

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