Novel marker for predicting the severity and prognosis of acute pulmonary embolism: platelet-to-hemoglobin ratio

Background: We investigated the ability of the platelet-to-hemoglobin ratio (PHR) to predict mortality and disease severity in patients with acute pulmonary embolism (APE). Materials & methods: The severity of APE was classified as massive (high risk), submassive (intermediate risk) or nonmassive (low risk). PHR is defined as platelet count/hemoglobin count. Results: PHR was significantly higher in patients with massive APE, and this elevation showed a gradual increase from the nonmassive group to the massive group (p < 0.001). In-hospital and 1-month mortality were higher in patients with high PHR values. PHR was an independent risk factor for the development of massive APE (odds ratio: 1.014; 95% CI: 1.011-1.017; p = 0.009). Conclusion: PHR values predicted massive APE and were an independent predictor of mortality in APE.

Could Systemic Inflammation in Healthy Individuals With Obesity Indicate Subclinical Atherosclerosis?

Obesity is one of today's pandemics. The link between obesity and inflammation is well established and contributes to atherogenesis. We aimed to determine the relationship between carotid intima-media thickness (cIMT) and inflammation in healthy obese patients (n = 289). The patients were referred to the outpatient clinic due to obesity but had no chronic diseases. Subclinical atherosclerosis was defined as present in participants with cIMT values greater than those expected according to their age group. In patients with subclinical atherosclerosis, the neutrophil-lymphocyte ratio (1.86 ± .65 vs 1.57 ± .45, P < .01), platelet-lymphocyte ratio (120.0 ± 41.2 vs 106.8 ± 30.5, P ≤ .01), and systemic immune-inflammatory index (SII) (550.0 ± 232.8 vs 430.4 ± 135.0, P ≤ .01) were found to be higher. SII was the only independent risk factor for developing subclinical atherosclerosis (odds ratio (OR): 1.995, odds ratio (95% confidence interval): 1.692-4.099), P = .004). The area under the curve (AUC) was .664 (95% CI: .605-.729, P ≤ .001), and the optimal cut-off value was 436.7 (69.3% sensitivity and 61.6% specificity). In conclusion, SII may indicate subclinical atherosclerosis in healthy obese patients, thus leading to early initiation of treatment to reduce cardiovascular morbidity and mortality.