SUMMARY OBJECTIVE The present study aimed to investigate the role of neutrophil/lymphocyte ratio (NLR), an inflammation marker, complete blood count, and biochemical parameters in the diagnosis of COVID-19. METHODS A total of 80 patients who had been hospitalized in the internal medicine clinic were enrolled in the study. The cases were allocated into two groups, i.e., COVID (+) and (-), based on real-time reverse transcription-polymerase chain reaction. The demographic, clinical, and laboratory [NLR, platelet/lymphocyte ratio (PLR), complete blood count, biochemistry, and serology] data of the patients were retrospectively obtained from the hospital data management system. RESULTS NLR and fever levels were found to be higher in COVID-19 (+) cases (P=0.021, P=0.001, respectively). There was no difference between males and females with regard to COVID-19 positivity (P=0.527). Total bilirubin levels were found to be lower in COVID-19 (+) cases (P=0.040). When the ROC analysis was carried out for NLR in COVID-19 (+) cases, the AUC value was found to be 0.660 (P=0.021), sensitivity as 69.01 %, specificity as 65.40 %, LR+: 1.98 and LR- : 0.48, PPV: 80.43, and NPV: 50.00, when the NLR was ≥2.4. The risk of COVID-19 was found to be 20.3-fold greater when NLR was ≥ 2.4 in the logistic regression (P=0.007). CONCLUSION NLR is an independent predictor for the diagnosis of COVID-19. We also found that fever and total bilirubin measurements could be useful for the diagnosis of COVID-19 in this population.

Background Prognostic nutritional index (PNI) and systemic immune-inflammatory index (SII) are inflammation-based novel markers that predict the prognosis in various patient populations. We have investigated the relationship between the disease severity in COVID-19, and the PNI and SII scores in the present study. Materials and Methods This cross-sectional retrospective study included 118 consecutive hospitalized patients with a confirmed diagnosis of COVID-19. The patients were divided into two groups as those who were hospitalized at the intensive care unit (ICU) and those who had been internalized at the clinic (non-ICU). Results Of the 118 patients, 50.8% were male. The mean age was 57.7±17.5 years in non-ICU patients and 70.3±11.7 years in ICU patients and the difference was statistically significant (p<0.001). The lymphocyte count and the albumin levels were significantly lower in ICU patients (p< 0.001, p< 0.001, respectively). The PNI score was significantly lower in ICU patients compared to non-ICU patients (p<0.001). The SII score was found to be significantly higher in ICU patients compared to non-ICU patients (p<0.001). The value of PNI and SII scores in prediction of the disease severity in COVID-19 was evaluated with the ROC analysis ([PNI; AUC=0.796,95%CI:0.715-0.877, p<0.001], SII; AUC=0.689,95% CI:0.559-0.819, p=0.004]). When the cut-off value was taken as ≤36.7 for the PNI score, it was found to have 73.4% sensitivity and 70.8% specificity for predicting of the disease severity and ICU admission probability was 4.4 times higher. When the cut-off value was taken as ≥813.6 for SII score, it was found to have 70.8% sensitivity and 66.0% specificity for predicting of the disease severity and ICU admission probability was 6 times higher. Conclusion The PNI and the SII scores are independent predictors of the prognosis and the disease severity in COVID-19 patients who require hospitalization at the ICU.

SUMMARY BACKGROUND Coronavirus Disease 2019 is an acute inflammatory respiratory disease. It causes many changes in hemogram parameters. Low albumin levels are associated with mortality risk in hospitalized patients. The aim of the present study is to reveal the place of neutrophil count to albumin ratio in predicting mortality in patients with COVID-19. METHODS 144 patients, 65 females and 79 males, were included in the study. Patients were divided into 2 groups. Group 1 was the non-severe group (n:85), and Group 2 was severe (n:59). Demographic data, neutrophil, lymphocyte and platelet counts, albumin and C-reactive protein (CRP) levels were recorded. Neutrophil count to albumin ratio (NAR) was calculated by dividing the absolute neutrophil counts by the albumin levels. The NAR and levels of the two groups were then compared. RESULTS There were no significant differences in gender and platelet count (201 vs. 211 K/mL) between the groups (p>0,05). Ages (62.0 ± 14.3 vs 68.6 ± 12.2 years), albumin (33.1 vs 29.9 gr/L), CRP (33 vs 113 mg/l), neutrophil count (4 vs 7.24 K/mL), WBC counts (6.70 vs 8.50 K/mL), NAR values (113.5 vs 267.2) and number of Death (5 vs 33) were found to be statistically higher (p <0.001) in Group 2 than in Group 1. The NAR value of 201.5 showed mortality in all patients with COVID-19 to have 71.1% sensitivity and 71.7% specificity (AUC:0.736, 95% CI: 0.641-0.832, p<0.001) CONCLUSION The present study showed that NAR levels can be a cheap and simple marker for predicting mortality in patients with COVID-19.

Restless legs syndrome (RLS), also known as Willis-Ekbom disease, is characterised by abnormal sensations in the legs as well as dysaesthesia. Although the aetiology of RLS has not yet been determined, it may be associated with systemic inflammation. The neutrophil-to-lymphocyte ratio (NLR) is a new and simple marker indicating systemic inflammation. The present study aimed to investigate the relationship between systemic inflammation and RLS through the use of the NLR. A total of 75 newly diagnosed patients with RLS and 56 healthy control subjects were included in the study. Baseline NLR was calculated by dividing the absolute neutrophil count by the absolute lymphocyte count. The NLRs of the two groups were compared. There were no significant differences in gender and age between the two groups. The NLR was 1.96 ± 0.66 in the patient group and 1.67 ± 0.68 in the control group (p = 0.005). Receiver operating characteristic analysis was performed to determine the cut-off value of NLR to predict RLS. The NLR was predictive at 1.58 with a 64% sensitivity and 50% specificity (95% confidence interval 0.55-0.74, area under curve 0.648 ± 0.05). The NLR was found to be statistically higher in patients with RLS and may be used to predict RLS. The aetiology of RLS remains undetermined. The present study showed that systemic inflammation may play a role in RLS. However, RLS could also be associated with systemic inflammatory diseases. This relationship is supported by high NLR values, which are related to chronic systemic inflammation.

Nalbant AD, et al. Yonsei Med J. 2008 Aug;49(4):647-654. http://dx.doi.org/10.3349/ymj.2008.49.4.647