Evaluation of P-wave dispersion in patients with newly diagnosed coronavirus disease 2019.

AIM: The aim of the current study was to evaluate P-wave dispersion (PWD) as a predictor of atrial fibrillation in patients with newly diagnosed COVID-19. In addition, the relationship between the PWD and inflammation parameters was investigated. METHODS: A total of 140 newly diagnosed COVID-19 patients and 140 age- and sex-matched healthy individuals were included in the study. The risk of atrial fibrillation was evaluated by calculating the electrocardiographic PWD. C-reactive protein (CRP), white blood cell, neutrophil and neutrophil-to-lymphocyte ratio (NLR) were measured in patients with newly diagnosed COVID-19. RESULTS: PWD, white blood cell, NLR and CRP levels were significantly higher in the COVID-19 group than the control group. There was a significant positive correlation between PWD and CRP level (rs = 0.510, P < 0.001) and NLR in COVID-19 group (rs = 0.302, P = 0.001). In their follow-up, 13 (9.3%) patients, 11 of whom were in the ICU, developed new atrial fibrillation. CONCLUSION: Our study showed for the first time in literature that the PWD, evaluated electrocardiographically in patients with newly diagnosed COVID-19, was prolonged compared with normal healthy individuals. A positive correlation was found between PWD, CRP level and NLR. We believe that pretreatment evaluation of PWD in patients with newly diagnosed COVID-19 would be beneficial for predicting atrial fibrillation risk.

The Association Between Serum Uric Acid Level and Prognosis in Critically Ill Patients, Uric Acid as a Prognosis Predictor.

BACKGROUND: Uric acid is synthesized from xanthine via xanthine oxidase as an end-product of purine metabolism. Uric acid is a major non-enzymatic antioxidant in the blood, and it exerts a protective action on vitamin C. There are a limited number of ICU studies related to uric acid, which is a valuable prognostic biomarker. This study aimed to evaluate the utility of uric acid as a biomarker in predicting the outcomes of critically ill patients. METHODS: This prospective, multi-centered cohort study included 128 patients from two different intensive care units who met the study inclusion criteria between May 2017 and October 2017. Study inclusion criteria were first admission to the ICU, age > 18 years, and ICU stay > 24 hours. In each patient, baseline serum uric acid levels were measured after acute interventions, prior to the initiation of the treatment process. RESULTS: When comparing the last uric acid levels of patients, the median last uric acid levels in the non-survival and survival groups were significantly different (p = 0.001). A last uric acid level > 4.5 mg/dL was associated with a 2.638 times higher risk (relative risk) for mortality. According to ROC analysis, a cutoff value of 1.5 for the ratio between the last two uric acid levels had a sensitivity of 0.21 and a specificity of 0.96 for predicting mortality. A 1.5-fold increase in the uric acid level yielded a positive predictive value of 92.6% and a negative predictive value of 65.2% for predicting mortality. The median uric level in the patient subset with ARDS, was significantly higher than those without ARDS (p = 0.001). CONCLUSIONS: Results of this study indicate that a time-dependent increase in uric acid levels can be used as an important biomarker for predicting mortality in critically ill patients; further, uric acid levels should possibly be included in the current mortality risk scoring systems. In addition, elevation of uric acid, a simple, inexpensive, and readily available biomarker, may provide guidance in the diagnostic stage and in predicting clinical outcomes of patients with sepsis or ARDS.