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Developing a research database of primary aldosteronism: rationale and baseline characteristics
Wen Wang1, Yuanmei Li2, Qianrui Li1,2
1Chinese Evidence-based Medicine Center and CREAT Group, West China Hospital, Sichuan University, Chengdu, 610041, China.
BMC Endocrine Disorders
|June 30, 2021
Summary
A high-quality primary aldosteronism (PA) research database was established by integrating retrospective and prospective data. This comprehensive database will aid in managing PA effectively in China.
Area of Science:
- Endocrinology
- Cardiovascular Research
- Medical Informatics
Background:
- Primary aldosteronism (PA) is a significant research area in endocrinology.
- Establishing a high-quality PA research database is crucial for reliable evidence generation.
Purpose of the Study:
- To create a high-quality, comprehensive research database for primary aldosteronism.
- To facilitate future research and improve PA management in China.
Main Methods:
- Retrospective data collection from 862 PA patients diagnosed between 2009-2019.
- Prospective cohort enrollment and data collection starting September 2019.
- Quality assessment of key variables and data accuracy validation.
Main Results:
- A retrospective database of 507 PA patients with positive confirmatory tests was created.
- Key patient data included mean systolic blood pressure (156.1 mmHg), diastolic blood pressure (97.2 mmHg), serum potassium (2.85 mmol/L), and plasma aldosterone concentration (28.1 ng/dL).
- High data completeness (e.g., BMI 95.9%, SBP 99.4%) and 100% accuracy in data extraction and linking were achieved.
Conclusions:
- Integrating retrospective and prospective data yields a high-quality PA research database.
- The established database offers high feasibility for advancing PA management in China.
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