Administrative data on diagnosis and mineralocorticoid receptor antagonist prescription identified patients with primary aldosteronism in Taiwan
| Autor: | Vin-Cent, Wu, Ya-Hui, Hu, Che-Hsiung, Wu, Chih-Chin, Kao, Cheng-Yi, Wang, Wei-Shen, Yang, Hsiu-Hao, Lee, Yuan-Shian, Chang, Yen-Hung, Lin, Shuo-Meng, Wang, Likwang, Chen, Kwan-Dun, Wu |
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| Rok vydání: | 2014 |
| Předmět: |
Adult
Male medicine.medical_specialty Pediatrics Epidemiology Taiwan Essential hypertension Drug Prescriptions Medical Records Primary aldosteronism Internal medicine Hyperaldosteronism medicine Humans Medical prescription Reimbursement Aged Mineralocorticoid Receptor Antagonists business.industry Medical record Reproducibility of Results Middle Aged medicine.disease Blood pressure Insurance Health Reimbursement Female business Algorithms |
| Zdroj: | Journal of Clinical Epidemiology. 67:1139-1149 |
| ISSN: | 0895-4356 |
| DOI: | 10.1016/j.jclinepi.2014.05.012 |
| Popis: | To develop algorithms of locating patients with primary aldosteronism (PA) using insurance reimbursement data and to validate the algorithms using medical charts.We extracted National Health Insurance (NHI) reimbursement data and medical charts in seven enrolled hospitals and analyzed diagnosis-related information for 1999-2010. The NHI codes PA as 255.1x, using the International Classification of Diseases, Ninth Revision, Clinical Modification. Confirmation of PA was based on suppression tests.We reviewed medical charts for 1,094 cases with at least one PA diagnosis. PA was confirmed for 563 cases. Compared with patients with essential hypertension, PA patients had higher systolic blood pressure, higher aldosterone, lower renin activity, and lower potassium level (all P-values0.05). An algorithm based on PA diagnosis reported in at least one hospital stay or three outpatient visits had modest performance (sensitivity = 0.94 and specificity = 0.20). The best additional condition for the algorithm was use of mineralocorticoid receptor antagonist (MRA; sensitivity = 0.89 and specificity = 0.88).Using information on PA diagnosis and MRA prescription reported in insurance claims data can precisely locate PA patients in high-risk groups. This algorithm can construct a reliable PA sample for conducting research in various fields, including epidemiology and clinical practice. |
| Databáze: | OpenAIRE |
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