Initial Observations of COVID-19 in US Children.

Coronavirus disease (COVID-19) has affected children differently from adults worldwide. Data on the clinical presentation of the infection in children are limited. We present a detailed account of pediatric inpatients infected with severe acute respiratory syndrome coronavirus 2 virus at our institution during widespread local transmission, aiming to understand disease presentation and outcomes. A retrospective chart review was performed of children, ages 0 to 18 years, with a positive polymerase chain reaction test for severe acute respiratory syndrome coronavirus 2 on nasopharyngeal specimens admitted to our hospital over a 4-week period. We present clinical data from 22 patients and highlight the variability of the presentation. In our study, most children presented without respiratory illness or symptoms suggestive of COVID-19; many were identified only because of universal testing. Because children may have variable signs and symptoms of COVID-19 infection, targeted testing may miss some cases.

Calprotectin: The Link Between Acute Lung Injury and Gastrointestinal Injury in Covid-19: Ban or Boon.

The pathogenesis of SARS-CoV-2 infection is related to the direct cytopathic effect and associated hyper-inflammation due to exaggerated immune response. Different experimental and clinical studies revealed that many biomarkers could be used to determine the Covid-19 severity, such as Ddimer, procalcitonin, C-reaction protein (CRP), IL-6, and ferritin. Calprotectin (CP) is associated with intestinal inflammation, intestinal injury, and different respiratory diseases such as cystic fibrosis. Thus, CP might be a possible biomarker linking intestinal injury and acute lung injury (ALI) in Covid-19. Therefore, this study aimed to find a potential role of CP regarding GITI and ALI in Covid-19. CP is a complex protein consisting of S100A8 and S100A9, belonging to the Ca+2-binding proteins S100 family abundant in the cytosol of neutrophils and expressed on the monocyte membranes, macrophages, and intestinal epithelial cells. CP is a proinflammatory protein that acts through activation of the receptor for the advanced glycation end product (RAGE) and toll-like receptor 4 (TLR4). CP is a biomarker of neutrophil activation and is released following the turnover of neutrophils. CP could be controversial; it increases airway inflammation or protects lung and airway epithelium from an exaggerated immune response. Therefore, a high level of CP in different respiratory disorders might be protective and compensate against abnormal immune responses. CP level is high in Covid-19 and correlated with Covid-19 severity and oxygen demand due to activation of proinflammatory cytokines and inflammatory signaling pathways. Therefore, CP level is elevated in both ALI and intestinal inflammation so that it could be a potential biomarker that links the respiratory and intestinal injury in Covid-19.

Baseline procalcitonin as a predictor of bacterial infection and clinical outcomes in COVID-19: A case-control study.

PURPOSE: Coronavirus disease-2019 (COVID-19) is associated with a wide spectrum of clinical symptoms including acute respiratory failure. Biomarkers that can predict outcomes in patients with COVID-19 can assist with patient management. The aim of this study is to evaluate whether procalcitonin (PCT) can predict clinical outcome and bacterial superinfection in patients infected with severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). METHODS: Adult patients diagnosed with SARS-CoV-2 by nasopharyngeal PCR who were admitted to a tertiary care center in Boston, MA with SARS-CoV-2 infection between March 17 and April 30, 2020 with a baseline PCT value were studied. Patients who were presumed positive for SARS-CoV-2, who lacked PCT levels, or who had a positive urinalysis with negative cultures were excluded. Demographics, clinical and laboratory data were extracted from the electronic medical records. RESULTS: 324 patient charts were reviewed and grouped by clinical and microbiologic outcomes by day 28. Baseline PCT levels were significantly higher for patients who were treated for true bacteremia (p = 0.0005) and bacterial pneumonia (p = 0.00077) compared with the non-bacterial infection group. Baseline PCT positively correlated with the NIAID ordinal scale and survival over time. When compared to other inflammatory biomarkers, PCT showed superiority in predicting bacteremia. CONCLUSIONS: Baseline PCT levels are associated with outcome and bacterial superinfection in patients hospitalized with SARS-CoV-2.

National Early Warning Score 2 and laboratory predictors correlate with clinical deterioration in hospitalized patients with COVID-19.

Aim: We aimed to determine the prognostic values of the National Early Warning Score 2 (NEWS2) and laboratory parameters during the first week of COVID-19. Materials & methods: All adult patients who were hospitalized for confirmed COVID-19 between 11 March and 11 May 2020 were retrospectively included. Results: Overall, 611 patients were included. Our results showed that NEWS2, procalcitonin, neutrophil/lymphocyte ratio and albumin at D0, D3, D5 and D7 were the best predictors for clinical deterioration defined as a composite of ICU admission during hospitalization or in-hospital death. Procalcitonin had the highest odds ratio for clinical deterioration on all days. Conclusion: This study provides a list of several laboratory parameters correlated with NEWS2 and potential predictors for clinical deterioration in patients with COVID-19.

Lay abstract The COVID-19 pandemic is a grueling problem worldwide. There is a lack of knowledge about the predictive value of National Early Warning Score 2 (NEWS2) for severe COVID-19 illness. We analyzed the prognostic value of NEWS2 and laboratory parameters during the clinical course of COVID-19. This study provides a list of several laboratory parameters correlated with NEWS2 and potential predictors for intensive care unit admission during hospitalization or in-hospital death.

Characteristics and mortality determinants of COVID-19 patients undergoing hemodialysis

Background/aim: The COVID-19 infection, which started in Wuhan City, China, in December 2019, turned into a pandemic in a very short time, affecting mainly the elderly and those with serious chronic illnesses. COVID-19 infections have been observed to have a high mortality rate, especially in patients undergoing maintenance hemodialysis. Materials and methods: Forty-two patients over 18 years of age who underwent a maintenance hemodialysis program at our unit, who tested positive for COVID-19 by PCR from nasopharyngeal swabs, and/or who were observed to have disease-related signs in their CTs were included in the study. Results: In this study, 23 of 42 patients receiving hemodialysis support in our clinic were included. The median age was 67 years old (min: 35; max: 91 years), and all of our patients had primary hypertension and other comorbidities. Their clinical evaluation showed that dry cough (47.8%) and shortness of breath (47.8%) were the most common symptoms. Fever was less pronounced (30.4%). The median time from the onset of symptoms to hospitalization was 1 day (min: 0; max:), and the time from hospitalization to death was 18 days (min: 1; max: 22). Transfer from the inpatient ward to the ICU took a median of 7 days (min: 1; max: 13). Among the 23 patients, 3 died during follow-up, and 20 were discharged with full recovery. Baseline ferritin, procalcitonin levels, and CRP/albumin rates were higher, and neutrophil/lymphocyte levels were lower in patients who eventually died. In these patients, despite being nonsignificant, there were more diabetic patients, and the D-dimer levels were higher than 1000 ugFEU/L. Conclusion: The COVID-19 infection is associated with increased mortality in chronic kidney diseases patients. Despite being nonsignificant, there was a trend towards increased mortality in patient with diabetes, D-dimer levels >1000 ugFEU/L, higher ferritin and prokalsitonin levels, an increased CRP/albumin ratio, and a lower neutrophil/lymphocyte ratio.

Characteristics and outcomes of critically ill patients with covid-19 in Sakarya, Turkey: a single centre cohort study

Background/aim: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was first reported in Turkey on March 10, 2020 and the number of the patients are increasing day by day. Coronavirus disease 2019 (Covid-19) has high mortality rates in intensive care units (ICUs). We aimed to describe the demographic characteristics, comorbidities, treatment protocols, and clinical outcomes among the critically ill patients admitted to the ICU of our hospital. Materials and methods: This cohort study included 103 consecutive patients who had laboratory confirmed Covid-19 and admitted to ICU of Sakarya University Training and Research Hospital between March 19 and April 13, 2020. The final date of the follow-up was April 18. Results: The mean age of the patients was 69.6 ± 14.1 years. Most of the patients had increased CRP (99%), serum ferritin (73.8%), d-dimer (82.5%), and hs-troponin levels (38.8%). 34 patients (33%) had lymphocytopenia, 24 patients (23.3%) had thrombocytopenia. 63 patients (61.2%) developed acute respiratory distress syndrome (ARDS), 31 patients (30.1%) had acute kidney injury, and 52 patients (50.5%) had multiple organ dysfunction syndrome (MODS) during follow-up. Sixty-two patients (60.2%) received mechanical ventilation. As of April 18, of the 103 patients, 52 (50.5%) had died, 30 (29.1%) had been discharged from the ICU, 21 (20.4%) were still in the ICU. Conclusions: Covid-19 has high mortality rates in ICU. Patients with elevated procalcitonin, hs-troponin, d-dimer, and CRP levels and lower platelet count at admission have higher mortality.

Tocilizumab administration is associated with the reduction in biomarkers of coronavirus disease 2019 infection.

Coronavirus disease 2019 (COVID-19) has caused a significant impact on all aspects of life, with the number of death cases still increasing. Therefore, identification of potential treatment for reducing the severity of the disease is important. Currently, the data regarding the effectiveness of tocilizumab as treatment agents for COVID-19 infection is still conflicting. This study aims to give clear evidence regarding the potential benefit of tocilizumab in reducing the biomarkers of COVID-19 infection. We systematically searched the PubMed Central database using specific keywords related to our aims until July 24th, 2020. All articles published on COVID-19 and tocilizumab were retrieved. A total of 9 studies with a total of 577 patients were included in our analysis. Our meta-analysis showed that tocilizumab treatment is associated with reduction of C-reactive protein (mean difference [MD]: -106.69 mg/L [95% confidence interval [CI]: -146.90, -66.49 mg/L], p < .00001; I2 = 98%, random-effect modeling), d-dimer (MD: -3.06 mg/L [95% CI: -5.81, -0.31 mg/L], p = .03; I2 = 98%, random-effect modeling), Ferritin (MD: -532.80 ng/ml [95% CI: -810.93, -254.67 ng/ml], p = .0002; I2 = 25%, random-effect modeling), procalcitonin (MD: -0.67 ng/ml [95% CI: -1.13, -0.22 ng/ml], p = .004; I2 = 92%, random-effect modeling], and increment in the levels of lymphocyte count (MD: 0.36 × 103 /µl [95% CI: 0.18, 0.54 × 103 /µl], p < .0001; I2 = 88%, random-effect modeling). Administration of tocilizumab is effective in reducing the biomarkers of the COVID-19 infection.

Is procalcitonin a part of human immunological response to SARS-CoV-2 infection or "just" a marker of bacterial coinfection?

Elevated PCT level in COVID-19 was associated with higher risk of severe disease and higher risk of overall mortality. An increased PCT level of PCT in COVID-19 patients especially in severe cases would be assumed as bacterial coinfection. Could PCT level increase in SARS-CoV-2 infection without bacterial coinfection? Several SARS-CoV-2 proteins activate STAT3-dependent transcriptional pathways particularly in monocytes, that could lead to increased PCT production. STAT3α isoform could cause increased ACE2 expression, resulting more SARS-CoV-2 infected cells and further production of PCT.

Clinical characteristics and antibiotics treatment in suspected bacterial infection patients with COVID-19.

Coronavirus disease 2019 (COVID-19) pandemic has brought challenges to health and social care systems. However, the empirical use of antibiotics is still confusing. Presently, a total of 1123 patients with COVID-19 admitted to Renmin Hospital of Wuhan University was included in this retrospective cohort study. The clinical features, complications and outcomes were compared between the suspected bacterial infection and the no evidence of bacterial infection. The risk factors of mortality and the incidence of acute organ injury were analyzed. As a result, 473 patients were selected to suspected bacterial infection (SI) group based on higher white blood cell count and procalcitonin or bacterial pneumonia on chest radiography. 650 patients were selected to the no evidence of bacterial infection (NI) group. The SI group had more severely ill patients (70.2% vs. 39.8%), more death (20.5% vs. 2.2%), and more acute organ injury (40.2% vs. 11.2%). Antibiotics were found associated with improved mortality and an increased risk for acute organ injury in hospitalized patients with COVID-19. Intravenous moxifloxacin and meropenem increased the death rate in patients with suspected bacterial infection, while oral antibiotics reduced mortality in this group. Moreover, penicillin and meropenem treatments were associated with increased mortality of the patients with no evidence of bacterial infection. In conclusion, patients with suspected bacterial infection were more likely to have negative clinical outcomes than those without bacterial infection. Empirical use of antibiotics may not have the expected benefits.

COVID-19 reveals Brugada pattern in an adolescent patient.

A diagnosis of Brugada pattern in paediatric or adolescent patients is rare. COVID-19 is characterised by fevers and a pro-inflammatory state, which may serve as inciting factors for Brugada pattern. Recently described in two adult patients, we report the first case of Brugada pattern in an adolescent with COVID-19.

The predictive and diagnostic accuracy of long pentraxin-3 in COVID-19 pneumonia

Background/aim: The purpose of this study is to evaluate serum pentraxin-3 (PTX-3) levels in Sars-CoV-2 virus infection (COVID-19) patients and to investigate whether PTX-3 predicts the disease prognosis. Materials and methods: This study was conducted on 88 confirmed COVID-19 patients who were hospitalized due to symptomatic pneumonia between April 15 and August 15, 2020. The patients were divided into two groups as survived patients and non-survived patients. Both groups were compared according to demographic features, comorbid conditions and measurement of the PTX-3 and other laboratory parameters of the patients. Results: Of 88 patients with COVID-19, 59 (67%) were discharged with complete cure and 29 (33%) resulted in death. 46 (52.3%) of the patients were men. PTX-3 median value (IQR) was 3.66 ng/mL (0.9­27.9) in all patients, 3.3 ng/mL (0.9­27.9) in survivors and 3.91 ng/mL (1.9­23.2) in nonsurvivors which was significantly higher (P = 0.045). As a receiver operating characteristic curve analysis the cut-off value of PTX-3 for predicting mortality in patients was 3.73 with 65% sensitivity and 65% specificity (AUC: 0.646, 95% CI: 0.525­ 0.767, P = 0.045). Also, we found significant cut-off values with respect to D-dimer, D-dimer/PTX-3, high-sensitivity troponin, high- sensitivity troponin/PTX-3, lymphocyte, PTX-3/lymphocyte, procalcitonin, procalcitonin/PTX-3, CRP, and CRP/PTX-3 (P < 0.05). Conclusion: In this study, as far as we know, for the first time, we have shown PTX-3 as the new mortality biomarker for COVID-19 disease.

Characteristics and Outcomes of Patients 80 Years and Older Hospitalized With Coronavirus Disease 2019 (COVID-19).

Patients older than 65 years hospitalized with COVID-19 have higher rates of intensive care unit admission and death when compared with younger patients. Cardiovascular conditions associated with COVID-19 include myocardial injury, acute myocarditis, cardiac arrhythmias, cardiomyopathies, cardiogenic shock, thromboembolic disease, and cardiac arrest. Few studies have described the clinical course of those at the upper extreme of age. We characterize the clinical course and outcomes of 73 patients with 80 years of age or older hospitalized at an academic center between March 15 and May 13, 2020. These patients had multiple comorbidities and often presented with atypical clinical findings such as altered sensorium, generalized weakness and falls. Cardiovascular manifestations observed at the time of presentation included new arrhythmia in 7/73 (10%), stroke/intracranial hemorrhage in 5/73 (7%), and elevated troponin in 27/58 (47%). During hospitalization, 38% of all patients required intensive care, 13% developed a need for renal replacement therapy, and 32% required vasopressor support. All-cause mortality was 47% and was highest in patients who were ever in intensive care (71%), required mechanical ventilation (83%), or vasopressors (91%), or developed a need for renal replacement therapy (100%). Patients older than 80 years old with COVID-19 have multiple unique risk factors which can be associated with increased cardiovascular involvement and death.

Features of severe COVID-19: A systematic review and meta-analysis.

BACKGROUND: To systematically review clinical and biochemical characteristics associated with the severity of the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-related disease (COVID-19). MATERIALS AND METHODS: Systematic review of observational studies from PubMed, ISI Web of Science, SCOPUS and Cochrane databases including people affected by COVID-19 and reporting data according to the severity of the disease. Data were combined with odds ratio (OR) and metanalysed. Severe COVID-19 was defined by acute respiratory distress syndrome, intensive care unit admission and death. RESULTS: We included 12 studies with 2794 patients, of whom 596 (21.33%) had severe disease. A slightly higher age was found in severe vs non-severe disease. We found that prevalent cerebrovascular disease (odds ratio [OR] 3.66, 95% confidence interval [CI] 1.73-7.72), chronic obstructive pulmonary disease (OR: 2.39, 95% CI 1.10-5.19), prevalent cardiovascular disease (OR: 2.84, 95% CI 1.59-5.10), diabetes (OR: 2.78, 95% CI 2.09-3.72), hypertension (OR: 2.24, 95% CI 1.63-3.08), smoking (OR: 1.54, 95% CI 1.07-2.22) and male sex (OR: 1.22, 95% CI 1.01-1.49) were associated with severe disease. Furthermore, increased procalcitonin (OR: 8.21, 95% CI 4.48-15.07), increased D-Dimer (OR: 5.67, 95% CI 1.45-22.16) and thrombocytopenia (OR: 3.61, 95% CI 2.62-4.97) predicted severe infection. CONCLUSION: Characteristics associated with the severity of SARS-CoV-2 infection may allow an early identification and management of patients with poor outcomes.

Predictors of adverse prognosis in COVID-19: A systematic review and meta-analysis.

BACKGROUND: Identification of reliable outcome predictors in coronavirus disease 2019 (COVID-19) is of paramount importance for improving patient's management. METHODS: A systematic review of literature was conducted until 24 April 2020. From 6843 articles, 49 studies were selected for a pooled assessment; cumulative statistics for age and sex were retrieved in 587 790 and 602 234 cases. Two endpoints were defined: (a) a composite outcome including death, severe presentation, hospitalization in the intensive care unit (ICU) and/or mechanical ventilation; and (b) in-hospital mortality. We extracted numeric data on patients' characteristics and cases with adverse outcomes and employed inverse variance random-effects models to derive pooled estimates. RESULTS: We identified 18 and 12 factors associated with the composite endpoint and death, respectively. Among those, a history of CVD (odds ratio (OR) = 3.15, 95% confidence intervals (CIs) 2.26-4.41), acute cardiac (OR = 10.58, 5.00-22.40) or kidney (OR = 5.13, 1.78-14.83) injury, increased procalcitonin (OR = 4.8, 2.034-11.31) or D-dimer (OR = 3.7, 1.74-7.89), and thrombocytopenia (OR = 6.23, 1.031-37.67) conveyed the highest odds for the adverse composite endpoint. Advanced age, male sex, cardiovascular comorbidities, acute cardiac or kidney injury, lymphocytopenia and D-dimer conferred an increased risk of in-hospital death. With respect to the treatment of the acute phase, therapy with steroids was associated with the adverse composite endpoint (OR = 3.61, 95% CI 1.934-6.73), but not with mortality. CONCLUSIONS: Advanced age, comorbidities, abnormal inflammatory and organ injury circulating biomarkers captured patients with an adverse clinical outcome. Clinical history and laboratory profile may then help identify patients with a higher risk of in-hospital mortality.

Relationship of chest CT score with clinical characteristics of 108 patients hospitalized with COVID-19 in Wuhan, China.

BACKGROUND: In December 2019, the outbreak of a disease subsequently termed COVID-19 occurred in Wuhan, China. The number of cases increased rapidly and spread to six continents. However, there is limited information on the chest computed tomography (CT) results of affected patients. Chest CT can assess the severity of COVID-19 and has sufficient sensitivity to assess changes in response to glucocorticoid therapy. OBJECTIVE: Analyze COVID-19 patients to determine the relationships of clinical characteristics, chest CT score, and levels of inflammatory mediators. METHODS: This retrospective, single-center case series of 108 consecutive hospitalized patients with confirmed COVID-19 at Tongji Hospital, Tongji Medical College of HUST (Wuhan, China) examined patients admitted from January 28 to February 20, 2020. Patient demographics, comorbidities, clinical findings, chest CT results, and CT scores of affected lung parenchyma were recorded. The relationships between chest CT score with levels of systemic inflammatory mediators were determined. RESULTS: All patients exhibited signs of significant systemic inflammation, including increased levels of C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), procalcitonin, chest CT score, and a decreased lymphocyte (LY) count. Chest CT score had positive associations with white blood cell (WBC) count, CRP, ESR, procalcitonin, and abnormal coagulation function, and a negative association with LY count. Treatment with a glucocorticoid increased the LY count, reduced the CT score and CRP level, and improved coagulation function. CONCLUSIONS: COVID-19 infection is characterized by a systemic inflammatory response that affects the lungs, blood, digestive system, and circulatory systems. The chest CT score is a good indicator of the extent of systemic inflammation. Glucocorticoid treatment appears to reduce systemic inflammation in these patients.

Establishing a model for predicting the outcome of COVID-19 based on combination of laboratory tests.

INTRODUCTION: There are currently no satisfactory methods for predicting the outcome of Coronavirus Disease-2019 (COVID-19). The aim of this study is to establish a model for predicting the prognosis of the disease. METHODS: The laboratory results were collected from 54 deceased COVID-19 patients on admission and before death. Another 54 recovered COVID-19 patients were enrolled as control cases. RESULTS: Many laboratory indicators, such as neutrophils, AST, γ-GT, ALP, LDH, NT-proBNP, Hs-cTnT, PT, APTT, D-dimer, IL-2R, IL-6, IL-8, IL-10, TNF-α, CRP, ferritin and procalcitonin, were all significantly increased in deceased patients compared with recovered patients on admission. In contrast, other indicators such as lymphocytes, platelets, total protein and albumin were significantly decreased in deceased patients on admission. Some indicators such as neutrophils and procalcitonin, others such as lymphocytes and platelets, continuously increased or decreased from admission to death in deceased patients respectively. Using these indicators alone had moderate performance in differentiating between recovered and deceased COVID-19 patients. A model based on combination of four indicators (P = 1/[1 + e-(-2.658+0.587×neutrophils - 2.087×lymphocytes - 0.01×platelets+0.004×IL-2R)]) showed good performance in predicting the death of COVID-19 patients. When cutoff value of 0.572 was used, the sensitivity and specificity of the prediction model were 90.74% and 94.44%, respectively. CONCLUSIONS: Using the current indicators alone is of modest value in differentiating between recovered and deceased COVID-19 patients. A prediction model based on combination of neutrophils, lymphocytes, platelets and IL-2R shows good performance in predicting the outcome of COVID-19.

Procalcitonin levels in COVID-19 patients.

Coronavirus disease 2019 (COVID-19), caused by infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has been declared a pandemic. This study analysed 95 SARS-CoV-2-infected patients, including 62 moderate COVID-19 patients, 21 severe COVID-19 patients and 12 critical COVID-19 patients (6 patients died, all critical). The results showed that the mean serum procalcitonin (PCT) levels were over four times higher in severe patients than in moderate patients and were over eight times higher in critical patients than in moderate patients. For discharged patients, both high-normal PCT levels and abnormal PCT levels decreased during recovery. However, in death cases, serum levels of PCT increased as the disease worsened. We demonstrate that PCT may be an indicator of disease severity in COVID-19 and may contribute to determining the severity of patients infected with SARS-CoV-2. Moreover, serial PCT measurements may be useful in predicting the prognosis.

Clinical phenotypes of SARS-CoV-2: implications for clinicians and researchers.

Patients with COVID-19 present a broad spectrum of clinical presentation. Whereas hypoxaemia is the marker of severity, different strategies of management should be customised to five specific individual phenotypes. Many intubated patients present with phenotype 4, characterised by pulmonary hypoxic vasoconstriction, being associated with severe hypoxaemia with "normal" (>40 mL·cmH2O-1) lung compliance and likely representing pulmonary microvascular thrombosis. Phenotype 5 is often associated with high plasma procalcitonin and has low pulmonary compliance, Which is a result of co-infection or acute lung injury after noninvasive ventilation. Identifying these clinical phenotypes and applying a personalised approach would benefit the optimisation of therapies and improve outcomes.