| Autor: |
Lukitasari M; PhD student, School of Population Health, UNSW Sydney, NSW 2052 Australia., Jonnagaddala J; Senior Research Fellow, School of Population Health, UNSW Sydney, NSW 2052 Australia., Liaw ST; Emeritus Professor, School of Population Health, UNSW Sydney, NSW 2052 Australia., Jalaludin B; Conjoint Professor, School of Population Health, UNSW Sydney, NSW 2052 Australia. |
| Jazyk: |
angličtina |
| Zdroj: |
Studies in health technology and informatics [Stud Health Technol Inform] 2024 Jul 24; Vol. 315, pp. 262-266. |
| DOI: |
10.3233/SHTI240149 |
| Abstrakt: |
Visit-to-visit (VVV) blood pressure variability (BPV) is associated with cardiovascular disease. However, in practice, BPV at sequential clinic visits is often regarded as mere random fluctuations and frequently under-appreciated by the clinicians. Therefore, this meta-analysis aims to compare the effect size of VVV BPV on cardiovascular outcome, by comparing studies that have used the electronic health record (EHR) and non-EHR data. The pooled hazard ratio for VVV BPV is comparable between studies using EHR and non-EHR data. Studies using EHR reported a pooled hazard ratio (HR) for VVV systolic BPV of 1.22 (95% CI: 1.07-1.38), while non-EHR studies had a HR of 1.16 (95% CI: 1.10-1.22). The pooled HR for VVV diastolic BPV in EHR studies was 1.09 (95% CI: 0.86-1.39), whereas non-EHR studies showed a HR of 1.10 (95% CI: 1.04-1.17). EHR data is a reliable source for assessing BPV, which in turn can predict the CVD outcomes. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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