Heart rate variability and cardiac autonomic functions in post-COVID period.

BACKGROUND: The heart rate variability (HRV) is a non-invasive, objective and validated method for the assessment of autonomic nervous system. Although acute manifestations of COVID-19 were widely researched, long-term sequela of COVID-19 are still unknown. This study aimed to analyze autonomic function using HRV indices in the post-COVID period that may have a potential to enlighten symptoms of COVID long-haulers. METHODS: The 24-h ambulatory electrocardiography (ECG) recordings obtained >12 weeks after the diagnosis of COVID-19 were compared with age-gender-matched healthy controls. Patients who used drugs or had comorbidities that affect HRV and who were hospitalized with severe COVID-19 were excluded from the study. RESULTS: Time domain indices of HRV analysis (standard deviation of normal RR intervals in 24 h (SDNN 24 h) and root mean square of successive RR interval differences (RMSSD)) were significantly higher in post-COVID patients (p < 0.05 for all). Among frequency domain indices, high frequency and low frequency/high frequency ratio was significantly higher in post-COVID patients (p = 0.037 and p = 0.010, respectively). SDNN >60 ms [36 (60.0%) vs. 12 (36.4%), p = 0.028)] and RMSSD >40 ms [31 (51.7%) vs. 7 (21.2%), p = 0.003)] were more prevalent in post-COVID patients. Logistic regression models were created to evaluate parasympathetic overtone in terms of SDNN >60 ms and RMSSD >40 ms. After covariate adjustment, post-COVID patients were more likely to have SDNN >60 msn (OR: 2.4, 95% CI:1.2-12.8) and RMSSD >40 ms (OR: 2.5, 95% CI: 1.4-9.2). CONCLUSION: This study revealed parasympathetic overtone and increased HRV in patients with history of COVID-19. This may explain the unresolved orthostatic symptoms occurring in post-COVID period which may be associated with autonomic imbalance.

Evaluation of N/LP Ratio as a Predictor of Disease Progression and Mortality in COVID-19 Patients Admitted to the Intensive Care Unit.

Objective: This research aimed to evaluate whether the neutrophil to lymphocyte and platelet (N/LP) ratio may be used to predict the risk of admission to the intensive care unit (ICU), the need for mechanical ventilation and in-hospital mortality in Coronavirus disease 2019 (COVID-19) cases. Methods: The study was conducted retrospectively on the data of 134 COVID-19 patients who were admitted to the ICU. The N/LP ratio was calculated as follows: neutrophil count x 100 / (lymphocyte count x platelet count). Each member of the research cohort was categorised into 1 of 2 groups based on their survival status (survivor and non-survivor groups). Results: In total, 82 (61%) patients died during the ICU stay. Patients who required mechanical ventilation and died in the ICU stay had significantly higher N/LP ratio than those who did not require it and survived [10 (IQR=4.94-19.38) vs 2.51 (IQR=1.67-5.49), p<0.001] and [11.27 (IQR=4.53-30.02) vs 1.65 (IQR=1-3.24), p<0.001], respectively. The N/LP ratio was linked with the requirement of mechanical ventilation and in-hospital death according to multivariable analysis. In receiver operating characteristic curve analysis, we found that N/LP in predicting admission to the ICU was >4.18 with 61% sensitivity and 62% specificity, it was >5.07 with 74% sensitivity and 73% specificity for the need for mechanical ventilation, and >3.69 with 81% sensitivity and 81% specificity to predict in-hospital death. Conclusion: To our knowledge, this is the first study showing that the N/LP ratio, which is a novel and widely applicable inflammatory index, may be used to predict the risk of ICU admission, mechanical ventilation and in-hospital death in patients with COVID-19 disease.

Mean serum D-dimer level to predict in-hospital mortality in COVID-19.

OBJECTIVE: The prognostic effect of the mean serum D-dimer levels, which was calculated from the first five days of hospitalization of the patients, has not been elucidated. This study aimed to evaluate the effect of mean D-dimer level about in-hospital mortality in patients hospitalized due to coronavirus disease-2019 (COVID-19) infection. METHODS: In this observational retrospective study, we examined the in-hospital prognostic value of mean D-dimer [D-dimerfirst day+D-dimerthird day+D-dimerfifth day)/3 on 240 consecutive adult patients with COVID-19. Patients were stratified into tertiles according to their mean D-dimer starting from the lowest one. In-hospital mortality rates were compared between tertiles and the power of the mean D-dimer level was also presented by a receiver operating curve analysis. RESULTS: After adjustment for confounding baseline variables, mean D-dimer in tertile 3 was associated with 4.2-fold hazard ratio of in-hospital mortality (odds ratio [OR] 4.2; 95% confidence interval [CI] 1.8-20.1, p<0.001). A receiver-operating curve analysis revealed that the optimal cutoff value of the mean D-dimer to predict in-hospital mortality was 779 µg/L with 77% sensitivity and 83% specificity (area under the curve [AUC] 0.87; 95%CI 0.81-0.94; p<0.001). CONCLUSION: Patients with a higher mean D-dimer level should be followed-up more closely as they may be a candidate for a more aggressive treatment modality, such as biologic agents or convalescent plasma.

Predictive Value of CAR for In-Hospital Mortality in Patients with COVID-19 Pneumonia: A Retrospective Cohort Study.

BACKGROUND: In the current literature, there is a growing evidence that supports the significant role of inflammation in the progression of viral pneumonia, including patients with coronavirus disease 2019 (COVID-19). AIM: The present study aimed to investigate the predictive value of C-reactive protein/albumin ratio (CAR) for in-hospital mortality in patients with COVID-19. MATERIAL AND METHODS: This retrospective study included the data of 275 consecutive COVID-19 patients who were hospitalized in a referral pandemic center. The CAR ratio was obtained by dividing the CRP level with albumin level. The study population was divided into tertiles (T1, T2, and T3) according to their admission CAR values. The endpoint of the study was a composite outcome of in-hospital mortality. RESULTS: During the in-hospital course, 33 (12%) patients died. The patients classified into T3 group had significantly higher CAR compared those classified into T2 and T1 groups. After the adjustment for the confounders, T3 group had 8.2 (95% CI: 4.2-48.1) times higher rates of in-hospital mortality compared to T1 group (the reference group) in a logistic regression model using CAR values. CONCLUSION: To the best of our knowledge, this is the first study to demonstrate the predictive value of CAR for in-hospital mortality in COVID-19 patients.

COVID-19 and acute myocarditis: current literature review and diagnostic challenges.

INTRODUCTION: In the current literature, there has been an upsurge of cases of COVID-19-induced acute myocarditis. In this case-based review, we aimed to describe the clinical characteristics, imaging findings, and in-hospital course of acute myocarditis. In addition, the limitations of the myocarditis diagnosis were discussed since only fulminant myocarditis cases have been mentioned in the current literature. METHODS: We performed a review of the literature of all patients who were diagnosed with COVID-19-induced acute myocarditis using the databases of PubMed, Embase, and the Cochrane. RESULTS: 16 case reports were found to be related to COVID-19-induced acute myocarditis. We observed that the ECG findings in most of the COVID-19 patients were non-specific, including diffuse ST-segment elevation, non-specific intraventricular conduction delay, sinus tachycardia, and inverted T-waves in anterior leads. Echocardiographic findings of COVID-19-induced acute myocarditis patients ranged from preserved left ventricular ejection fraction (LVEF) without segmental abnormalities to reduced LVEF with global hypokinesia. Interestingly, a few patients with COVID-19-induced acute fulminant myocarditis were steroid-responsive and had an amelioration with glucocorticoid and immunoglobulin therapy. CONCLUSION: Despite the COVID-19 pandemic worldwide, a limited number of cases has been shared in the current literature. There are a lot of difficulties in the differential diagnosis of acute myocarditis in the context of COVID-19.

Is prognostic nutritional index a predictive marker for estimating all-cause in-hospital mortality in COVID-19 patients with cardiovascular risk factors?

BACKGROUND: This study examined the possible association between the prognostic nutritional index (PNI) and in-hospital mortality rates in cases with a high cardiovascular risk burden and hospitalized with the diagnosis of coronavirus disease 2019 (COVID-19). MATERIAL AND METHODS: This retrospective and cross-sectional study included 294 COVID-19 patients hospitalized in a tertiary referral pandemic center. The study cohort was grouped into tertiles based on the initial PNI values as T1, T2, and T3. The PNI was calculated for each case and the prognostic value of this index was compared to CURB-65 and 4C mortality risk scores in predicting in-hospital mortality. RESULTS: Patients stratified into the T1 tertile had a lower lymphocyte count, serum albumin level, and PNI values. In a multivariate analysis, the PNI (OR: 0.688,%95CI: 0.586-0.808, p < 0.001) was an independent predictor for all-cause in-hospital death. After adjusting for confounding independent parameters, patients included in the T1 tertile were found to have 11.2 times higher rates of in-hospital mortality compared to the T3 group, which was presumed as the reference group. In addition, we found that the area under curve (AUC) value of PNI was significantly elevated than that of serum albumin level and total lymphocyte counts alone. [(AUC):0.79 vs AUC:0.75 vs AUC:0.69; respectively). CONCLUSION: This study demonstrated that the PNI is independently related with in-hospital mortality in patient with COVID-19 and cardiovascular risk factors. The power of the PNI was also validated using well-accepted risk scores of COVID-19 such as CURB-65 and 4C mortality risk scores.

Effect of the COVID-19 pandemic on access to primary percutaneous coronary intervention for ST-segment elevation myocardial infarction.

OBJECTIVE: The coronavirus disease 2019 (COVID-19) pandemic caused by the emergence of severe acute respiratory syndrome coronavirus 2 has resulted in a health crisis and a significant number of deaths worldwide. The full effect on access to medical care and the treatment for patients with chronic diseases and acute conditions is still unknown. This is an investigation of access to primary percutaneous coronary intervention (PPCI) for patients diagnosed with ST-segment myocardial infarction (STEMI) during the pandemic. METHODS: Consecutive patients who were diagnosed with STEMI and underwent PPCI during the ongoing COVID-19 pandemic were included in the study. Clinical and angiographic characteristics of the patients were assessed. A control group of patients diagnosed with STEMI and who underwent PPCI during the same time interval a year prior to the outbreak of the disease was analyzed retrospectively for comparison. RESULTS: There was a significant reduction in the number of STEMI cases during the COVID-19 crisis period. Furthermore, these patients had a prolonged ischemic time; they were more likely to have a longer pain-to-balloon (Odds ratio [OR]: 2.0, 95% confidence interval [CI]: 1.1-10.2) and door-to-balloon time (OR: 5.4, 95% CI: 3.1-22.8). CONCLUSION: Patients diagnosed with STEMI during the pandemic experienced a significant delay between the onset of symptoms and PPCI.

Fibrinogen and D-dimer variances and anticoagulation recommendations in Covid-19: current literature review.

INTRODUCTION Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a newly described virus responsible for the outbreak of the coronavirus disease 2019 (Covid-19), named by the World Health Organization (WHO) in February/2020. Patients with Covid-19 have an incidence of acute respiratory distress syndrome (ARDS) of 15.9-29% and sepsis is observed in all deceased patients. Moreover, disseminated intravascular coagulation (DIC) is one of the major underlying causes of death among these patients. In patients with DIC, there is a decrease in fibrinogen and an increase in D-dimer levels. Some studies have shown that fibrinogen and one of its end products, D-dimer, might have a predictive value for mortality in patients with non-Covid sepsis secondary to complications of DIC. Therefore, anticoagulation, considering its mortality benefits in cases of non-Covid sepsis, may also have an important role in the treatment of Covid-19. METHODS We reviewed the literature of all studies published by April 2020 on patients infected with Covid-19. Our review was limited to D-dimer and fibrinogen changes and anticoagulation recommendations. RESULTS Anticoagulation therapy can be started following the DIC diagnosis in Covid-19 patients despite the bleeding risks. In addition, the current evidence suggests a routine use of anticoagulation, particularly in patients with higher D-dimer levels (> 3.0 µg/mL). CONCLUSION Covid-19 is a systemic, hypercoagulable disease requiring more studies concerning treatment. Aanticoagulation is still an issue to be studied, but D-dimer rise and disease severity are the indicative factors to start treatment as soon as possible.