Diagnostic Value of Natural Killer Cells, CD56+ CD16+ Natural Killer Cells, NLRP3, and Lactate Dehydrogenase in Severe/Critical COVID-19: A Prospective Longitudinal Study According to the Severe/Critical COVID-19 Definitions.

Innate immunity, as the first line of defense of our immune system, plays a crucial role in defending against SARS-CoV-2 infection and also its immunopathogenesis. We aim to investigate the immune status of natural killer (NK) cells, natural killer T (NKT) cells, and NLRP3 gene expression in COVID-19 patient blood samples. The immunophenotype of NK cell subsets and NKT cells was detected by flow cytometry and the expression of NLRP3 gene assessed by reverse transcriptase real-time polymerase chain reaction in 44 COVID-19 patients and 20 healthy individuals. The percentage of most of NK cell subpopulation and NKT cells was significantly decreased in COVID-19 patients. The percentage of CD56dim CD16- NK cell subsets, and NLRP3 gene expression increased. The percentage of total NK cells, CD56+ CD16+ NK cells, and NLRP3 gene expression had acceptable sensitivity and specificity for assisting diagnosis of severe/critical COVID-19. O2 saturation% and lactate dehydrogenase levels showed valuable diagnostic value to identify critical cases. The declined NK and NKT cells in COVID-19 patients and enhanced NLRP3 gene expression were associated with disease severity. Total NK cells, CD56+ CD16+ NK cells, and NLRP3 gene expression might be used as meaningful indicators for assisting diagnosis of severe/critical COVID-19.

The role of electrolyte imbalances in predicting the severity of COVID-19 in the hospitalized patients: a cross-sectional study.

Coronavirus disease 2019 (COVID-19) can be fatal in severe cases. Accordingly, predicting the severity and prognosis of the disease is valuable. This study examined the role of electrolyte imbalances in predicting the severity of COVID-19. In this cross-sectional study, 169 hospitalized patients with COVID-19 were included and categorized into three groups based on the severity of the disease (moderate, severe, and critical). Serum levels of electrolytes (calcium [Ca], phosphorus [P], sodium [Na], potassium [k], and magnesium [Mg]), inflammatory markers (D-dimer, C-reactive protein [CRP], ferritin, and lactate dehydrogenase [LDH]), and 25OHVitamin D were measured. The mean age of patients was 53 years, and 54% were male. They had moderate, severe, and critical illnesses in 22%, 47%, and 31%, respectively. CRP, D-dimer, and ferritin increased with the severity of the disease. The lower median values of Mg, Na, 25OHVitamin D, Ca, LDH, and higher median lymphocyte counts were observed in the moderate vs. the severe group (P < 0.05). These parameters have acceptable sensitivity and specificity at the suggested cut-off level to discriminate the moderate and critical cases. Serum parameters introduced in this study are appropriate for differentiating between critical and moderate cases. The electrolyte imbalance can predict critical patients.

Clinical Characteristics Predicting Mortality Risk in Hospitalized Geriatric Patients with COVID-19 Pneumonia: a Retrospective Study.

BACKGROUND: Coronavirus disease 2019 (COVID-19) is a global pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Geriatric patients with COVID-19 are more likely to progress to severe disease, and they are at increased risk of hospitalization and mortality. In this study we aimed to investigate the risk factors for predicting mortality in geriatric patients with COVID 19 by reviewing the clinical data of survivors and non-survivors. METHODS: This was a retrospective study of 189 geriatric patients with COVID- 19 pneumonia who were hospitalized in pulmonology clinic, in Duzce University, Medical Faculty Hospital between March 2020 and January 2021 in Turkey. RESULTS: In the study, 60.3% (n = 114) of the patients were male and the median age was 75. 80.4% (n = 152) of the patients were discharged. The presence of cardiovascular disease, chronic renal failure, malignancy, increased number of comorbidities, complaints of anorexia, no fever, decreased oxygen saturation value, increased pulse rate, high values of maximum (max) D-dimer, aspartate aminotransferase, urea, creatinine, troponin, lactate dehydrogenase (LDH), max LDH, ferritin and max ferritin, C-reactive protein (CRP), max CRP, procalcitonin, max procalcitonin, potassium values and low albumin values, complications as bacterial infection, cardiac disease, acute respiratory distress syndrome, liver function tests failure, arrhythmia and shock, the need for corticosteroid and pulse corticosteroid therapy increased the mortality. According to multiple logistic regression model, the de-velopment of cardiac disease, acute respiratory distress syndrome, bacterial infection, the need for pulse steroids, and the max ferritin value increased the risk of mortality by between 1.001 and 28.715 times. CONCLUSIONS: Both clinical and laboratory parameters predicting mortality in geriatric patients with COVID-19 pneumonia should be monitored very carefully. Complications that develop should be evaluated and multidisciplinary and necessary treatments should be initiated without delay.

Baseline laboratory parameters for preliminary diagnosis of COVID-19 among children: a cross-sectional study.

BACKGROUND: Clinical judgment of initial baseline laboratory tests plays an important role in triage and preliminary diagnosis among coronavirus disease 2019 (COVID-19) patients. OBJECTIVES: To determine the differences in laboratory parameters between COVID-19 and COVID-like patients, and between COVID-19 and healthy children. Additionally, to ascertain whether healthy children or patients with COVID-like symptoms would form a better control group. DESIGN AND SETTING: Cross-sectional study at the Institute for Child and Youth Health Care of Vojvodina, Novi Sad, Serbia. METHODS: A retrospective study was conducted on 42 pediatric patients of both sexes with COVID-19. Hematological parameters (white blood cell count, absolute lymphocyte count and platelet count) and biochemical parameters (natremia, kalemia, chloremia, aspartate aminotransferase [AST], alanine aminotransferase [ALT], lactate dehydrogenase [LDH] and C-reactive protein [CRP]) were collected. The first control group was formed by 80 healthy children and the second control group was formed by 55 pediatric patients with COVID-like symptoms. RESULTS: Leukocytosis, lymphopenia, thrombocytosis, elevated systemic inflammatory index and neutrophil-lymphocyte ratio, hyponatremia, hypochloremia and elevated levels of AST, ALT, LDH and CRP were present in COVID patients, in comparison with healthy controls, while in comparison with COVID-like controls only lymphopenia was determined. CONCLUSIONS: The presence of leukocytosis, lymphopenia, thrombocytosis, elevated systemic inflammatory index and neutrophil-lymphocyte ratio, hyponatremia, hypochloremia and elevated levels of AST, ALT, LDH and CRP may help healthcare providers in early identification of COVID-19 patients. Healthy controls were superior to COVID-like controls since they provided better insight into the laboratory characteristics of children with novel betacoronavirus (SARS-CoV-2) infection.

Clinical predictors of acute cardiac injury and normalization of troponin after hospital discharge from COVID-19.

BACKGROUND: Although acute cardiac injury (ACI) is a known COVID-19 complication, whether ACI acquired during COVID-19 recovers is unknown. This study investigated the incidence of persistent ACI and identified clinical predictors of ACI recovery in hospitalized patients with COVID-19 2.5 months post-discharge. METHODS: This retrospective study consisted of 10,696 hospitalized COVID-19 patients from March 11, 2020 to June 3, 2021. Demographics, comorbidities, and laboratory tests were collected at ACI onset, hospital discharge, and 2.5 months post-discharge. ACI was defined as serum troponin-T (TNT) level >99th-percentile upper reference limit (0.014ng/mL) during hospitalization, and recovery was defined as TNT below this threshold 2.5 months post-discharge. Four models were used to predict ACI recovery status. RESULTS: There were 4,248 (39.7%) COVID-19 patients with ACI, with most (93%) developed ACI on or within a day after admission. In-hospital mortality odds ratio of ACI patients was 4.45 [95%CI: 3.92, 5.05, p<0.001] compared to non-ACI patients. Of the 2,880 ACI survivors, 1,114 (38.7%) returned to our hospitals 2.5 months on average post-discharge, of which only 302 (44.9%) out of 673 patients recovered from ACI. There were no significant differences in demographics, race, ethnicity, major commodities, and length of hospital stay between groups. Prediction of ACI recovery post-discharge using the top predictors (troponin, creatinine, lymphocyte, sodium, lactate dehydrogenase, lymphocytes and hematocrit) at discharge yielded 63.73%-75.73% accuracy. INTERPRETATION: Persistent cardiac injury is common among COVID-19 survivors. Readily available patient data accurately predict ACI recovery post-discharge. Early identification of at-risk patients could help prevent long-term cardiovascular complications. FUNDING: None.

Clinical and inflammatory features based machine learning model for fatal risk prediction of hospitalized COVID-19 patients: results from a retrospective cohort study.

OBJECTIVES: To appraise effective predictors for COVID-19 mortality in a retrospective cohort study. METHODS: A total of 1270 COVID-19 patients, including 984 admitted in Sino French New City Branch (training and internal validation sets randomly split at 7:3 ratio) and 286 admitted in Optical Valley Branch (external validation set) of Wuhan Tongji hospital, were included in this study. Forty-eight clinical and laboratory features were screened with LASSO method. Further multi-tree extreme gradient boosting (XGBoost) machine learning-based model was used to rank importance of features selected from LASSO and subsequently constructed death risk prediction model with simple-tree XGBoost model. Performances of models were evaluated by AUC, prediction accuracy, precision, and F1 scores. RESULTS: Six features, including disease severity, age, levels of high-sensitivity C-reactive protein (hs-CRP), lactate dehydrogenase (LDH), ferritin, and interleukin-10 (IL-10), were selected as predictors for COVID-19 mortality. Simple-tree XGBoost model conducted by these features can predict death risk accurately with >90% precision and >85% sensitivity, as well as F1 scores >0.90 in training and validation sets. CONCLUSION: We proposed the disease severity, age, serum levels of hs-CRP, LDH, ferritin, and IL-10 as significant predictors for death risk of COVID-19, which may help to identify the high-risk COVID-19 cases. KEY MESSAGES A machine learning method is used to build death risk model for COVID-19 patients. Disease severity, age, hs-CRP, LDH, ferritin, and IL-10 are death risk factors. These findings may help to identify the high-risk COVID-19 cases.

Potential benefits of precise corticosteroid therapy for critical COVID-19.

This study was aimed to explore the precise dose of corticosteroid therapy in critical COVID-19. A total of forty-five critical COVID-19 patients were enrolled. The process of critical COVID-19 was divided into alveolitis and fibrosis stages. Most nonsurvivors died in fibrosis phase. Nonsurvivors had more dyspnea symptoms, fewer days of hospitalization, shorter duration of alveolitis and fibrosis. High-dose daily corticosteroid therapy (≥150 mg/d) was associated with shorter survival time and lower lymphocyte count in fibrosis phase. Moreover, a high cumulative dose (≥604 mg) was tied to longer duration of virus shedding, lower oxygenation index (OI), higher incidence of tracheal intubation, fewer lymphocytes and higher levels of C-reactive protein (CRP) and lactate dehydrogenase (LDH). In alveolitis phase, the low-to-moderate-dose daily corticosteroid therapy and a small cumulative dose reduced lymphocytes. In conclusion, low-to-moderate dose corticosteroids may be beneficial in the fibrosis phase. High-dose corticosteroid therapy in the fibrosis phase aggravates the severity of critical COVID-19.

Biomarkers of Coagulation and Inflammation in COVID-19-Associated Ischemic Stroke.

[Figure: see text].

COVID-19 and the impact of arterial hypertension-An analysis of the international HOPE COVID-19 Registry (Italy-Spain-Germany).

BACKGROUND: A systematic analysis of concomitant arterial hypertension in COVID-19 patients and the impact of angiotensin-converting-enzyme inhibitors (ACEI) or angiotensin receptor blockers (ARBs) have not been studied in a large multicentre cohort yet. We conducted a subanalysis from the international HOPE Registry (https://hopeprojectmd.com, NCT04334291) comparing COVID-19 in presence and absence of arterial hypertension. MATERIALS AND METHODS: Out of 5837 COVID-19 patients, 2850 (48.8%) patients had the diagnosis arterial hypertension. 1978/2813 (70.3%) patients were already treated with ACEI or ARBs. The clinical outcome of the present subanalysis included all-cause mortality over 40 days of follow-up. RESULTS: Patients with arterial hypertension suffered significantly more from different complications including respiratory insufficiency (60.8% vs 39.5%), heart failure (9.9% vs 3.1%), acute kidney injury (25.3% vs 7.3%), pneumonia (90.6% vs 86%), sepsis (14.7% vs 7.5%), and bleeding events (3.6% vs 1.6%). The mortality rate was 29.6% in patients with concomitant arterial hypertension and 11.3% without arterial hypertension (P < .001). Invasive and non-invasive respiratory supports were significantly more required in presence of arterial hypertension as compared without it. In the multivariate cox regression analysis, while age≥65, benzodiazepine, antidepressant at admission, elevated LDH or creatinine, respiratory insufficiency and sepsis might be a positive independent predictors of mortality, antiviral drugs, interferon treatment, ACEI or ARBs at discharge or oral anticoagulation at discharge might be an independent negative predictor of the mortality. CONCLUSIONS: The mortality rate and in-hospital complications might be increased in COVID-19 patients with a concomitant history of arterial hypertension. The history of ACEI or ARBs treatments does not seem to impact the outcome of these patients.

Can we predict the severe course of COVID-19 - a systematic review and meta-analysis of indicators of clinical outcome?

BACKGROUND: COVID-19 has been reported in over 40million people globally with variable clinical outcomes. In this systematic review and meta-analysis, we assessed demographic, laboratory and clinical indicators as predictors for severe courses of COVID-19. METHODS: This systematic review was registered at PROSPERO under CRD42020177154. We systematically searched multiple databases (PubMed, Web of Science Core Collection, MedRvix and bioRvix) for publications from December 2019 to May 31st 2020. Random-effects meta-analyses were used to calculate pooled odds ratios and differences of medians between (1) patients admitted to ICU versus non-ICU patients and (2) patients who died versus those who survived. We adapted an existing Cochrane risk-of-bias assessment tool for outcome studies. RESULTS: Of 6,702 unique citations, we included 88 articles with 69,762 patients. There was concern for bias across all articles included. Age was strongly associated with mortality with a difference of medians (DoM) of 13.15 years (95% confidence interval (CI) 11.37 to 14.94) between those who died and those who survived. We found a clinically relevant difference between non-survivors and survivors for C-reactive protein (CRP; DoM 69.10 mg/L, CI 50.43 to 87.77), lactate dehydrogenase (LDH; DoM 189.49 U/L, CI 155.00 to 223.98), cardiac troponin I (cTnI; DoM 21.88 pg/mL, CI 9.78 to 33.99) and D-Dimer (DoM 1.29mg/L, CI 0.9 to 1.69). Furthermore, cerebrovascular disease was the co-morbidity most strongly associated with mortality (Odds Ratio 3.45, CI 2.42 to 4.91) and ICU admission (Odds Ratio 5.88, CI 2.35 to 14.73). DISCUSSION: This comprehensive meta-analysis found age, cerebrovascular disease, CRP, LDH and cTnI to be the most important risk-factors that predict severe COVID-19 outcomes and will inform clinical scores to support early decision-making.

Clinical characteristics and laboratory features of COVID-19 in high altitude areas: A retrospective cohort study.

Coronavirus disease 2019 (COVID-19) is highly contagious and has affected the whole world. We seek to investigate the clinical and laboratory characteristics of COVID-19 patients in the high altitude areas of Sichuan, China. In this retrospective cohort study, a total of 67 patients with laboratory-confirmed SARS-CoV-2 infections in Sichuan's Ngawa Tibetan and Qiang Autonomous Prefecture were included from February 1, 2020, to March 2, 2020. Their clinical characteristics, as well as radiological and laboratory features, were extracted. Four (6.0%) patients were categorized as severe cases; 39 (58.2%) were non-severe cases, and 24 (35.8%) were asymptomatic cases. A total of 46 (68.7%) patients were associated with cluster infection events in this study. The most common symptoms were cough, sputum production, dyspnea, fatigue or myalgia, and headache. Seven (10.4%) patients showed leucopenia, and 20 (29.9%) patients showed lymphopenia. Lymphocyte counts and neutrophil-to-lymphocyte ratios (NPR) were different between the three groups. In total, 14 (20.9%) patients had thrombocytopenia, and prothrombin times (PT) and fibrinogen levels differed between groups. We also found significant differences in sodium, chloride and calcium levels between the three groups. Antiviral therapy did not lead to obvious adverse events or shortened durations from initial positive to subsequent negative nuclei acid tests. Advanced age, hypertension, high neutrophil count, the neutrophil-to-lymphocyte ratio, fibrinogen and lactate dehydrogenase levels were identified as independent risk factors for symptomatic cases of COVID-19. In conclusion, the symptoms of patients in high altitude areas were mild, and about one third were asymptomatic. We also identified several independent risk factors for symptomatic cases of COVID-19.

Multiple organ injury on admission predicts in-hospital mortality in patients with COVID-19.

Multiorgan injury has been implicated in patients with coronavirus disease 2019 (COVID-19). We aim to assess the impact of organ injury (OI) on prognosis according to the number of affected organs at admission. This is a retrospective cohort study of patients with confirmed COVID-19 in Wuhan Third Hospital & Tongren Hospital of Wuhan University from February 17 to March 22, 2020. We classified the patients according to the presence and number of damaged organs (heart, liver, and kidney). The percentage of patients with no, one, two, or three organs affected was 59.75%, 30.46%, 8.07%, and 1.72%, respectively. With the increasing number of OI, there is a tendency of gradual increase regarding the white blood cell counts, neutrophil counts, levels of C-reactive protein (CRP), lactate dehydrogenase, D-dimer, and fibrinogen as well as the incidence of most complications. In a Cox regression model, individuals with OI, old age, and an abnormal level of CRP were at a higher risk of death compared with those without. Patients with three organ injuries had the highest mortality rate (57.9%; hazard ratio [HR] with 95% confidence interval [CI] vs. patients without OI: 22.31 [10.42-47.77], those with two [23.6%; HR = 8.68, 95% CI = 4.58-16.48], one [8.6%; HR = 3.1, 95% CI = 1.7-5.7], or no OI [2.6%]; p < .001). The increasing number of OI was associated with a high risk of mortality in COVID-19 infection.

Clinical characteristics of Egyptian male patients with COVID-19 acute respiratory distress syndrome.

BACKGROUND: Coronavirus disease 2019 (COVID-19) is a serious illness caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and in severe cases associated with acute respiratory distress syndrome (ARDS). OBJECTIVE: To describe the clinical characteristics of patients with ARDS-COVID-19. MATERIALS AND METHODS: This study involved 197 male Egyptian participants, among them111 COVID-19 patients presented with ARDS, 60 COVID-19 patients presented with non-ARDS, and 26 Non-COVID-19 patients. We reported the analysis results of clinical and laboratory information, including blood routine tests, blood biochemistry parameters [aspartate aminotransferase (AST), alanine aminotransferase (ALT), creatinine and C-reactive protein (CRP)], thrombotic activity (D-dimer) and serum ferritin and lactate dehydrogenase (LDH). RESULTS: The levels of hemoglobin, AST, creatinine, monocyte count, monocyte %, RBC count, TLC, and platelet count were not significantly different among the groups. The lymphopenia and increased CRP, ALT, D-dimer, ferritin, and LDH were observed in patients with ARDS-COVID-19. CONCLUSION: COVID-19 patients with ARDS presented with lymphopenia, increased thrombotic activity, increased CRP, LDH, and ferritin levels. The results revealed that CRP, D-dimer, LDH levels, and lymphopenia have a significant association with the COVID-19 severity and can be used as biomarkers to predict the disease severity.

Clinical features and predictors of severity in COVID-19 patients with critical illness in Singapore.

We aim to describe a case series of critically and non-critically ill COVID-19 patients in Singapore. This was a multicentered prospective study with clinical and laboratory details. Details for fifty uncomplicated COVID-19 patients and ten who required mechanical ventilation were collected. We compared clinical features between the groups, assessed predictors of intubation, and described ventilatory management in ICU patients. Ventilated patients were significantly older, reported more dyspnea, had elevated C-reactive protein and lactate dehydrogenase. A multivariable logistic regression model identified respiratory rate (aOR 2.83, 95% CI 1.24-6.47) and neutrophil count (aOR 2.39, 95% CI 1.34-4.26) on admission as independent predictors of intubation with area under receiver operating characteristic curve of 0.928 (95% CI 0.828-0.979). Median APACHE II score was 19 (IQR 17-22) and PaO2/FiO2 ratio before intubation was 104 (IQR 89-129). Median peak FiO2 was 0.75 (IQR 0.6-1.0), positive end-expiratory pressure 12 (IQR 10-14) and plateau pressure 22 (IQR 18-26) in the first 24 h of ventilation. Median duration of ventilation was 6.5 days (IQR 5.5-13). There were no fatalities. Most COVID-19 patients in Singapore who required mechanical ventilation because of ARDS were extubated with no mortality.

Clinical course and outcome among patients with acute pancreatitis and COVID-19.

BACKGROUND: The data on clinical course and outcome of acute pancreatitis among patients with coronavirus disease 2019 (COVID-19) are sparse. In this study, we analyzed the clinical profiles of patients with COVID 19 and acute pancreatitis. METHODS: This retrospective study was conducted on Research Patient Data Registry data which was pooled from five Mass General Brigham Healthcare Network hospitals. We extracted data on demographics, symptoms, ICU transfer, mechanical ventilation, laboratories' profiles, imaging findings, and patient outcomes. RESULT: Of 985 screened adult patients, 17 were eligible for the study, 9 (52.9%) were admitted primarily for respiratory failure and developed acute pancreatitis after a median of 22.5 days (13-76 days) from the onset of COVID-19 symptoms. On contrary, eight patients presented with typical symptoms and were diagnosed with acute pancreatitis, the majority with mild severity (62.5%) on admission. Patients who were admitted primarily with severe COVID-19 illness were younger (median age 57 vs. 63 years), females (55.6 vs. 25%), of Hispanic ethnicity (55.6 vs. 25%), and obese (88.9 vs. 37.5%). The median peak lipase, C reactive protein, ferritin, lactate dehydrogenase, D-dimer were higher among patients who developed acute pancreatitis later during hospitalization. Patients who developed acute pancreatitis later also experienced higher episodes of necrotizing pancreatitis (11.1% vs. 0), thromboembolic complications (55.6 vs. 12.5%), and higher mortality (37.5 vs. 12.5%). CONCLUSION: Acute pancreatitis is not common among patients with COVID-19. Patients with COVID-19 who had acute pancreatitis on admission had more benign course and overall better outcome as compared to the patients who developed acute pancreatitis during hospitalization.

Evaluation of the effect of melatonin in patients with COVID-19-induced pneumonia admitted to the Intensive Care Unit: A structured summary of a study protocol for a randomized controlled trial.

OBJECTIVES: We investigate the effects of melatonin, compared to the usual therapeutic regimen on clinical symptoms and laboratory signs in severely ill patients with confirmed COVID-19 who are admitted to the Intensive Care Unit (ICU). TRIAL DESIGN: This is a single-center, open-label, randomized, clinical trial with a parallel-group design. This study is being conducted at Shahid Mohammadi Hospital, Bandar Abbas, Iran. PARTICIPANTS: All patients admitted to the ICU of Shahid Mohammadi Hospital, Bandar Abbas, Iran, will be screened for the following criteria. Inclusion criteria 1. Age >20 years 2. Definitive diagnosis of COVID-19 based on RT-PCR or/and serological testing 3. Severe pneumonia and lung involvement in imaging 4. Signing informed consent Exclusion criteria 1. Underlying diseases, including convulsive disorders, chronic hepatic and renal diseases 2. Use of mechanical ventilation 3. History of known allergy to Melatonin 4. Pregnancy and breastfeeding INTERVENTION AND COMPARATOR: Intervention group: The standard treatment regimen for COVID-19, according to the Iranian Ministry of Health and Medical Education's protocol, along with Melatonin soft gelatin capsule (Danna Pharmaceutical Company) at a dose of 5 mg twice a day for a period of seven days. CONTROL GROUP: The standard treatment for COVID-19 based on the Iranian Ministry of Health and Medical Education's protocol for a period of seven days. MAIN OUTCOMES: The primary outcomes are the recovery rate of clinical symptoms and checking arterial blood gas (ABG), C-reactive protein (C-RP), Ferritin, Lactate dehydrogenase (LDH) within seven days of randomization. The secondary outcomes are time to improvement of clinical and paraclinical features and length of stay in the ICU, need for mechanical ventilation, and mortality rate within seven days of randomization. RANDOMIZATION: Included patients will be allocated to one of the study arms using block randomization in a 1:1 ratio (each block consists of 6 patients). This randomization method ensures a balanced allocation between the arms during the study. A web-based system will generate random numbers for the allocation sequence and concealment of participants. Each number relates to one of the study arms. BLINDING (MASKING): This is an open-label trial without blinding and placebo control. NUMBERS TO BE RANDOMIZED (SAMPLE SIZE): A total of 60 participants randomizes (30 patients allocated to the intervention group and 30 patients allocated to the control group). TRIAL STATUS: The protocol is Version 1.0, February 16, 2021. Recruitment began February 28, 2021, and is anticipated to be completed by July 31, 2021. TRIAL REGISTRATION: The trial protocol has been registered in the Iranian Registry of Clinical Trials (IRCT). The registration number is " IRCT20200506047323N7 ". The registration date was February 16, 2021. FULL PROTOCOL: The full protocol is attached as an additional file, accessible from the Trials website (Additional file 1). In the interest of expediting the dissemination of this material, the familiar formatting has been eliminated; this Letter serves as a summary of the key elements of the full protocol.

Prognostic value of cardiac biomarkers in COVID-19 infection.

Multiple Biomarkers have recently been shown to be elevated in COVID-19, a respiratory infection with multi-organ dysfunction; however, information regarding the prognostic value of cardiac biomarkers as it relates to disease severity and cardiac injury are inconsistent. The goal of this meta-analysis was to summarize the evidence regarding the prognostic relevance of cardiac biomarkers from data available in published reports. PubMed, Embase and Web of Science were searched from inception through April 2020 for studies comparing median values of cardiac biomarkers in critically ill versus non-critically ill COVID-19 patients, or patients who died versus those who survived. The weighted mean differences (WMD) and 95% confidence interval (CI) between the groups were calculated for each study and combined using a random effects meta-analysis model. The odds ratio (OR) for mortality based on cardiac injury was combined from studies reporting it. Troponin levels were significantly higher in COVID-19 patients who died or were critically ill versus those who were alive or not critically ill (WMD 0.57, 95% CI 0.43-0.70, p < 0.001). Additionally, BNP levels were also significantly higher in patients who died or were critically ill (WMD 0.45, 95% CI - 0.21-0.69, p < 0.001). Cardiac injury was independently associated with significantly increased odds of mortality (OR 6.641, 95% CI 1.26-35.1, p = 0.03). A significant difference in levels of D-dimer was seen in those who died or were critically ill. CK levels were only significantly higher in those who died versus those who were alive (WMD 0.79, 95% CI 0.25-1.33, p = 0.004). Cardiac biomarkers add prognostic value to the determination of the severity of COVID-19 and can predict mortality.

A COVID-19 pregnant patient with thrombotic thrombocytopenic purpura: a case report.

BACKGROUND: Pregnancy seems to increase the risk of thrombotic thrombocytopenic purpura (TTP) relapses and make the TTP more severe in any of the pregnancy trimesters, or even during the postpartum period. CASE PRESENTATION: This study highlights details of treating a COVID-19 pregnant patient who survived. This 21-year addicted White woman was admitted at her 29th week and delivered a stillbirth. She was transferred to another hospital after showing signs of TTP, which was caused by a viral infection. CONCLUSION: This viral infection caused fever and dyspnea, and the patient was tested positive for COVID-19 infection. A chest computed tomography scan showed diffuse multiple bilateral consolidations and interlobar septal thickening. She stayed at the Intensive Care Unit for 20 days and treated with plasmapheresis. As far as we know, this is the first report of a TTP pregnant patient with COVID-19 infection.

Cardiac Troponin I association with critical illness and death risk in 726 seriously ill COVID-19 patients: A retrospective cohort study.

Background: For coronavirus disease 2019 (COVID-19), early identification of patients with serious symptoms at risk of critical illness and death is important for personalized treatment and balancing medical resources. Methods: Demographics, clinical characteristics, and laboratory tests data from 726 patients with serious COVID-19 at Tongji Hospital (Wuhan, China) were analyzed. Patients were classified into critical group (n = 174) and severe group (n= 552), the critical group was sub-divided into survivors (n = 47) and non-survivors (n = 127). Results: Multivariable analyses revealed the risk factors associated with critical illness in serious patients were: Advanced age, high respiratory rate (RR), high lactate dehydrogenase (LDH) level, high hypersensitive cardiac troponin I (hs-cTnI) level, and thrombocytopenia on admission. High hs-cTnI level was the independent risk factor of mortality among critically ill patients in the unadjusted and adjusted models. ROC curves demonstrated that hs-cTnI and LDH were predictive factors for critical illness in patients with serious COVID-19 whereas procalcitonin and D-Dimer with hs-cTnI and LDH were predictive parameters in mortality risk. Conclusions: Advanced age, high RR, LDH, hs-cTnI, and thrombocytopenia, constitute risk factors for critical illness among patients with serious COVID-19, and the hs-cTnI level helps predict fatal outcomes in critically ill patients.

The Clinical Characteristics and Risk Factors of Severe COVID-19.

OBJECTIVE: We aim to investigate the clinical characteristics and risk factors for the severe cases of coronavirus disease 2019 (COVID-19) in comparison with the non-severe patients. METHODS: We searched PubMed, EMBASE, Web of Science, and CNKI to collect all relevant studies published before July 26, 2020, and a total of 30 papers were included in this meta-analysis. RESULTS: In the severe COVID-19 patients, 60% (95% CI = 56-64%) were male, 25% (95% CI = 21-29%) were over 65 years old, 34% (95% CI = 24-44%) were obese, and 55% (95% CI = 41-70%) had comorbidities. The most prevalent comorbidities were hypertension (34%, 95% CI = 25-44%), diabetes (20%, 95% CI = 15-25%), and cardiovascular disease (CVD; 12%, 95% CI = 9-16%). The most common blood test abnormalities were elevated C-reactive protein (CRP; 87%, 82-92%), decreased lymphocyte count (68%, 58-77%), and increased lactate dehydrogenase (69%, 95% CI = 57-81%). In addition, abnormal laboratory findings revealing organ dysfunctions were frequently observed in the severe cases, including decrease in albumin (43%, 95% CI = 24-63%) and increase in aspartate aminotransferase (47%, 95% CI = 38-56%), alanine aminotransferase (28%, 95% CI = 16-39%), troponin I/troponin T (TnI/TnT; 29%, 95% CI = 13-45%), and serum Cr (SCr; 10%, 95% CI = 5-15%). CONCLUSION: The male, elderly and obese patients and those with any comorbidities, especially with hypertension, diabetes, and CVD, were more likely to develop into severe cases. But the association between hypertension, diabetes, CVD, and severity of COVID-19 was declined by the increase of age. A significant elevation in cardiac TnI/TnT, the hepatic enzymes, and SCr and the reduction in lymphocytes with elevated CRPs are important markers for the severity. Specific attention should be given to the elderly male and obese patients and those with indications of severe immune injury in combination with bacterial infection and indication of multi-organ dysfunction or damages.