A Real-World Study on the Short-Term Efficacy of Amlodipine in Treating Hypertension Among Inpatients
This study utilized machine learning to predict amlodipine's effectiveness in hypertension treatment, pinpointing key factors: HCT, PDW, and TT levels. Lower PDW, along with higher HCT and TT, correlated with enhanced treatment outcomes. This facilitates personalized treatment, particularly for hospitalized hypertensive patients undergoing amlodipine monotherapy.
Authors
- Jie Jian (ORCID: https://orcid.org/0000-0001-5841-6189)
- Shoushu Xiang
- Juntao Tan (ORCID: https://orcid.org/0000-0001-8801-2732)
- Wenlong Zhao (ORCID: https://orcid.org/0000-0002-3584-3935)
- Jian Chang (ORCID: https://orcid.org/0000-0002-3442-6881)
- Yang Zhang (ORCID: https://orcid.org/0000-0002-0883-8233)
- Tiantian Wang (ORCID: https://orcid.org/0000-0003-2358-9893)
- Tingting Wang (ORCID: https://orcid.org/0009-0003-2716-7505)
Institutions
- Chongqing Medical University (CN)
Publication Details
- Journal
- Pragmatic and Observational Research
- Published
- 2024-08-01
- DOI
- https://doi.org/10.2147/por.s464439
- Citations
- 2
- Primary Topic
- Blood Pressure and Hypertension Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.80
Funders
- Chongqing Medical University