Evaluation of serum ischemia-modified albumin levels in high-normal blood pressure category
Background: High-normal blood pressure (BP), situated inside the elevated normal range and indicative of potential hypertension, is widely acknowledged as a critical worldwide health issue. High-normal BP levels consist of a systolic measurement of 130–139 mmHg and a diastolic measurement of 85–89 m...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wolters Kluwer Medknow Publications
2025-07-01
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| Series: | Journal of Research in Medical Sciences |
| Subjects: | |
| Online Access: | https://journals.lww.com/10.4103/jrms.jrms_43_25 |
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| Summary: | Background:
High-normal blood pressure (BP), situated inside the elevated normal range and indicative of potential hypertension, is widely acknowledged as a critical worldwide health issue. High-normal BP levels consist of a systolic measurement of 130–139 mmHg and a diastolic measurement of 85–89 mmHg. Ischemia-modified albumin (IMA) is a sign that tissues are not getting enough oxygen, which is also known as tissue hypoxia. Numerous studies indicate that IMA possesses prognostic relevance in cardiovascular diseases. Our purpose was to investigate the serum IMA levels in patients with high-normal BP.
Materials and Methods:
The study prospectively enrolled 50 participants with high-normal BP and 50 individuals with normal BP consecutively. Both groups’ IMA levels were assessed and compared. All patients’ echocardiograms were collected.
Results:
The IMA values were markedly elevated in the high-normal group (P < 0.001). The research identified a significant correlation between IMA and high-normal BP, with an odds ratio of 1.725 (95% confidence interval [CI] 1.212–2.506, P < 0.001). An IMA level of 348 ng/L demonstrated a 94% accuracy in predicting high-normal BP, with a 32% accuracy overall (area under the curve = 0.942; 95% CI, 0.894–0.991; P < 0.001).
Conclusion:
Our analysis demonstrated a strong correlation between IMA and high-normal BP. |
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| ISSN: | 1735-1995 1735-7136 |