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1.
Indian Journal of Biochemistry & Biophysics ; 59(6):667-674, 2022.
Article in English | GIM | ID: covidwho-2249672

ABSTRACT

It has been two years since the global outbreak of the highly contagious and deadly corona virus disease (COVID-19) caused by SARS-CoV-2 first emerged in China. Since then, various diagnostic, prognostic and treatment strategies undertaken to address the pandemic have been dynamically evolving. Predictive and prognostic role of various biomarkers in COVID-19 has been a subject of intense exploration. We aimed to determine the association of Carcinoembryonic antigen (CEA) and various surrogate inflammatory biomarkers with the severity of COVID-19 disease. This retrospective cohort study was carried out on 98 patients admitted in Jaypee Hospital, Noida with COVID-19 disease. Information regarding demographics, laboratory parameters and clinical history was collected from Hospital Information System. Serum levels of CEA and other biomarkers such as Neutrophil-lymphocyte ratio (NLR), C-reactive protein (CRP), Interleukin-6 (IL-6), Ferritin, and Procalcitonin (PCT) were assessed. Correlation analyses were performed between the parameters and acute respiratory distress syndrome (ARDS) stages. Logistic regression and ROC curve analysis were performed to assess the various parameters for distinguishing COVID-19 patients requiring ICU admission. Mean hospital stay, NLR, CEA, IL-6, CRP, Ferritin (P < 0.0001) and PCT (P = 0.01) were significantly higher in ICU patients when compared to general ward patients. NLR, median serum CEA, IL-6, and CRP levels were significantly higher in non-survivor compared to the survivors (P < 0.0001, 0.0341 and 0.0092). CEA correlated well with disease severity based upon ARDS classification and was a better marker to differentiate patient according to ARDS stages (ARDS 0 vs 2 P = 0.0006;0 vs 3 P < 0.0001;ARDS 1 vs 2 P = 0.0183;1 vs 3 P = 0.0006). The area under the Receiver operating characteristic (ROC) curve for CEA was 0.7467 (95% CI- 0.64885- 0.84459) which revealed the potential of CEA as a biomarker to distinguish COVID-19 patients requiring ICU admission. CEA can be used to predict the severity of COVID-19 associated ARDS as well as patients requiring ICU admission. Along with routine inflammatory biomarkers (NLR, CRP, IL-6, PCT, and ferritin), CEA should be used for early identification of critical COVID-19 positive patients and for assessing prognosis.

2.
Journal of the Association of Physicians of India ; 70(January):38-39, 2022.
Article in English | GIM | ID: covidwho-1823710

ABSTRACT

During COVID-19 pandemic, one of the most common arrythmia reported with this illness is sinus bradycardia. Treatment for COVID-19 and associated cardiac dysfunction is still evolving. Temporary pacemaker insertion is difficult due to pandemic and risk of spread of infection to the additional staff involved. Orciprenaline stimulates the sino-atrial and atrioventricular nodes and accelerates atrioventricular conduction. Theophylline improves sinus node function in subjects with sinus bradycardia and enhances atrioventricular nodal conduction We report a case series of 10 patients admitted in dedicated COVID-19 ICUs and developed sinus node dysfunction. All of these patients were started on etophylline and theophylline prolonged release tablet (150 mg) once a day. On subsequent follow up after 72 hours, all patients reported heart rate well within normal range. COVID-19 virus directly involves the myocardium by entering the cardiac myocytes resulting in inflammation and injury. As the sinus bradycardia due to COVID-19 is usually transient and respond well this drug, short course of this drug could be added to treat this arrythmia in future.

3.
medrxiv; 2021.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2021.06.05.21258394

ABSTRACT

Abstract Importance The efficacy of SARS-CoV-2 vaccine candidates reported in Phase 3 trials varies from ~45% to ~95%. It is important to explain the reasons for this heterogeneity. Objective To test the hypothesis that the efficacy of SARS-CoV-2 vaccine candidates falls with increasing prevalence of the COVID-19 pandemic. Data Sources ClinicalTrials.gov, WHO, McGill and LSHTM trackers of COVID-19 candidate vaccines, peer reviewed publications, and press releases were searched until March 31st, 2021. Study Selection All RCTs reporting efficacy outcomes from Phase 3 trials till March 31st, 2021 were included. Of the 11 vaccine candidates that had started their Phase 3 trials by November 1, 2020. Phase 3 efficacy outcomes were available for 8 vaccine candidates. (PROSPERO CRD42021243121). Data Extraction and Synthesis Both authors independently extracted the data required from identified sources, using PRISMA guidelines. The analysis included all RCTs reported in peer reviewed publications and publicly available sources. A random effects model with restricted maximum likelihood estimator was used to summarize the treatment effects. Cochrane Risk of Bias Assessment Tool was used to assess risk of bias. Certainty of evidence was assessed using the GRADE tool. Main Outcomes and Measures SARS-CoV-2 infections per protocol in vaccine and placebo groups, risk ratio, prevalence of the COVID-19 infection rate in the populations where the Phase 3 trials were conducted. Results 8 vaccine candidates had reported efficacy data from a total of 20 independent Phase 3 trials, representing a total of 221,968 subjects, 453 infections across the vaccinated groups and 1,554 infections across the placebo groups. The overall estimate of the risk-ratio is 0.24 (95% CI, 0.17-0.34, p < 0.01), with an I2 statistic of 88.73%. The meta-regression analysis with pandemic prevalence as the moderator explains almost half the variance in risk ratios across trials (R2=49.06%, p<0.01). Conclusion and Relevance Pandemic prevalence explains almost half of the between-trial variance in reported efficacies. Efficacy of SARS-CoV-2 vaccine candidates declines as the pandemic prevalence increases.


Subject(s)
COVID-19 , Severe Acute Respiratory Syndrome
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