Estimated serum osmolality value as a risk predictor for coronary heart disease
Objective: Some of the factors affecting serum osmolality are also known risk factors for coronary artery disease. In the present study, we aimed to investigate if there is a relationship between serum osmolality and a history of coronary artery disease.
Methods: The present study was designed as a case control study. We selected 141 patients aged 45 years or over with consecutive sampling method. Of these, 61 patients had a history of coronary artery disease. In the study group, coronary artery disease was documented and the patients have been under medication for this specific illness. Serum osmolality was calculated using appropriate formula.
Results: Estimated serum osmolality (t= -4.209, p=0.000), fasting plasma glucose (t= -2,606, p = 0.01) and waist to hip ratio (t= -2,193, p=0.03) were higher in patients with coronary artery disease.
Conclusion: We have shown that estimated serum osmolality correlates with a history of coronary artery disease.
Objective: It is shown that hyperosmolality starts inflammation and thus causes mortality and morbidity. It is shown that serum osmolality increases with patients who suffer from metabolic syndrome. In one of their studies among coronary heart disease patients who were verified with coronary angiography Rasouli and friends have shown that both measured and calculated serum osmolality have relationships with coronary heart disease. In our study we aimed to research on the potential relationship between calculated serum osmolality and the history of coronary heart disease.
Methods: For the study 141 cases of 45 years old or higher were chosen, using the sequential sampling method. 61 people who were diagnosed with coronary heart disease were picked as the study group and 80 people with no coronary heart disease history were picked as the control group.
Collagen tissue disease, pregnancy, malignancy, using steroids and having consumed alcohol in the last 24 hours have all been established as criteria for exclusion. High fever during blood sampling, dehydration symptoms or acute blood loss were also established as the criteria for exclusion.
Results: Patient and control groups were similar in the sense of factors that affect serum osmolality (Table 1). Calculated serum osmolality values were significantly higher with the group that has coronary heart disease (median: 296.92±5.62) than with the control group (median: 292.71±6.07), (t=-4.209, p=0.000). (Table 2).
Conclusion: Serum osmolality may cause inflammation and atherosclerosis when it increases either directly or through diseases such as coronary heart disease, renal failure or diabetes. In both cases high serum osmolality would not be a direct cause but a risk factor. Our study shows that patients who are diagnosed with coronary heart disease are likely to have increased levels of serum osmolality.
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