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1.
Lung India ; 39(SUPPL 1):S157, 2022.
Article in English | EMBASE | ID: covidwho-1857324

ABSTRACT

Background: 70-90 % of the adult population carries latent cytomegalovirus (CMV), which may be reactivated by inflammation and immune suppression. CMV reactivation has been seen in up to one-third of critically ill patients, and is associated with worse clinical outcomes. Here, the authors present two challenging cases, wherein the management of severe COVID-19 disease was complicated by CMV pneumonia. Case Reports: Our patients presented with severe COVID-19 pneumonia with acute respiratory distress syndrome and were admitted in the intensive care unit (ICU). The patients received immunosuppressive therapy, either tocilizumab or methylprednisolone pulse therapy. Both the patients had a prolonged hospital stay, and showed an initial improvement followed by clinical deterioration, with recurrence of fever, worsening respiratory failure, and development of consolidations on CT thorax. A thorough work up for opportunistic infections revealed CMV infection. Both patients were treated with intravenous Ganciclovir and showed marked improvement. Discussion: The use of steroids and other immunomodulatory therapies in the treatment of severe COVID-19 disease, along with immune suppression caused by severe COVID-19 itself, predisposes patients to reactivation of CMV. Furthermore, CMV reactivation is associated with a longer ICU length of stay, prolonged mechanical ventilation, increased risk of secondary infections, and mortality. Conclusion: These cases highlight the importance of considering CMV disease as a differential diagnosis in critically ill patients with COVID-19 with unexplained worsening, especially in the setting of immunomodulatory therapies, as early treatment may prevent adverse clinical outcomes and mortality.

2.
Circulation ; 144(SUPPL 1), 2021.
Article in English | EMBASE | ID: covidwho-1637784

ABSTRACT

Introduction: Acute myocarditis after coronavirus disease 2019 (COVID-19) mRNA vaccination is not well described. Recent public reports have signaled that this is an entity that requires ongoing surveillance. The goal of this study is to investigate myocarditis incidence following COVID-19 mRNA vaccination, and to report the clinical course and outcomes. Methods: This is a retrospective population-based cohort study performed at Kaiser Permanente Southern California (KPSC), an integrated health care system in California. Patients who received at least one dose of BNT162b2 (Pfizer) or mRNA-1273 (Moderna) mRNA vaccine were included. Clinically significant cases of acute myocarditis within 10 days of COVID-19 mRNA vaccination were identified between 12/14/2020 and 5/31/2021. Key demographic, clinical, laboratory, diagnostic data, and clinical course were obtained from medical record review. Results: Of 1,776,608 KPSC members who received at least one dose of COVID-19 mRNA vaccines, 12 developed acute myocarditis within 10 days following vaccination, for an estimated incidence of 6.6 cases per 1 million patients. All patients were relatively healthy White or Hispanic men between the ages of 18 and 40 years. Patients reported chest pain two to eight days after vaccine administration (Moderna N=5;Pfizer N=7). Eleven patients developed myocarditis after the second dose, and one after the first dose. Troponin I elevations ranged from 1.53-32.30 ng/mL. All cases were self-limited, with troponin peaking within 24-48 hours of admission and symptom resolution prior to discharge. None of the patients had evidence of decompensated heart failure. Length of stay was 1-4 days, with all patients discharged home and no recurrence, readmission, or major adverse cardiac events. Conclusions: Acute myocarditis after COVID-19 mRNA vaccination is a rare and self-limited event that warrants further description and investigation.

3.
Journal of Patient Safety and Infection Control ; 9(1):1-7, 2021.
Article in English | EMBASE | ID: covidwho-1468598

ABSTRACT

Coronavirus disease 2019 caused by severe acute respiratory syndrome-CoV-2 is an emerging infectious disease first identified in Wuhan City, Hubei Province, China, which subsequently spread as a global pandemic posing a global threat. As per World Health Organisation worldwide around 38 lac people have been infected and 2.6 lac people have died from the disease and in India 59,662 people are infected with 1981 deaths by May 9, 2020. It is feasible that potentially infectious specimens may be submitted in our laboratory those are the impending source of infection to the laboratory personnel. Using imaging equipment on coronavirus confirmed/suspected patient/carriers is a serious hazard for healthcare providers because there is a risk that the virus could remain on the surface of the computed tomography scan machines or ultrasound (US) probes/patient bed/couch. Here, we have enlisted the rigorous biosafety measures which if executed appropriately can significantly drop the chances of spread of infection to health care workers in these diagnostic sections.

4.
Journal of Clinical Oncology ; 39(15 SUPPL), 2021.
Article in English | EMBASE | ID: covidwho-1339326

ABSTRACT

Background: Several reports have suggested that cancer patients are at increased risk for contracting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and suffering worse coronavirus disease 2019 (COVID-19) outcomes. However, little is known about the impact of cancer status on presentation and outcome. Here, we report on the association between cancer status and survival in hospitalized patients who tested positive for SARSCoV- 2 during the height of pandemic in New York City. Methods: Of the 6,724 patients who were hospitalized at NYU Langone Health (3/16/20 -7/31/20) and tested positive for SARS-CoV-2, 580 had either active cancer (n = 221) or a history of cancer (n = 359). Patients were classified as having active malignancy if they either received treatment within six months of their COVID-19 diagnosis or they had measurable disease documented at the time of their hospitalization. Patients were categorized as having a history of cancer if there was no evidence of measurable disease or there were no treatments administered within six months of their COVID-19 diagnosis. We compared the baseline clinicodemographic characteristics and hospital courses of the two groups, and the relationship between cancer status and the rate of admission to the intensive care unit (ICU), use of invasive mechanical ventilation (IMV), and all-cause mortality. Results: There was no differences between the two groups in their baseline laboratory results associated with COVID- 19 infection, incidence of venous thromboembolism, or incidence of severe COVID- 19. Active cancer status was not associated with the rate of ICU admission (P =0.307) or use of IMV (P = 0.236), but was significantly associated with worse all-cause mortality in both univariate and multivariate analysis with ORs of 1.48 (95% CI: 1.04-2.09;P = 0.028) and 1.71 (95% CI: 1.12- 2.63;P = 0.014), respectively. Conclusions: Active cancer patients had worse survival outcomes compared to patients with a history of cancer despite similar COVID-19 disease characteristics in the two groups. Our data suggest that cancer care should continue with minimal interruptions during the pandemic to bring about response and remission as soon as possible. Additionally, these findings support the growing body of evidence that malignancy portends worse COVID-19 prognosis, and demonstrate that the risk may even apply to those without active disease.

5.
Proceedings of the 2020 9th International Conference on System Modeling and Advancement in Research Trends, SMART 2020 ; : 94-97, 2020.
Article in English | Scopus | ID: covidwho-1109430

ABSTRACT

This paper focuses on a Comparative Study of Implementing Innovation in Education Sector due to COVID-19. It focuses on the ability of Education Sector to change and adapt quickly, to be responsive to new technologies and methodologies and be flexible to the needs of the students, parents and government. Video meetings, online teaching, digital platforms, etc. are the technologies used to increase the growth of online education. So, I have defined the different analysis study based on earlier education system and new education system. A drastic change is predicted in the education sector. © 2020 IEEE.

6.
Proceedings of the 2020 9th International Conference on System Modeling and Advancement in Research Trends, SMART 2020 ; : 52-54, 2020.
Article in English | Scopus | ID: covidwho-1109429

ABSTRACT

This paper based on the comprehensive survey of different sectors affected during covid-19 lock down period. due to covid-19 virus extended all over world and affected various country so that these country are faced lot of problem during lock down many corporate companies related to information technology and other manufacturing, they produce lots of work daily basis but at the time of lockdown many companies shut down and completely closed they don't produce any product related our survival large number of peoples death by covid-19 virus in all over the world lot of government and private organization invented different vaccines to control this infected virus but daily uses medicines not beneficial for the treatment of this virus so that WHO declared pandemic conditions and announced different rules or regulation to control this virus due to pandemic situation many country economy graph down day by day and lot of burden make active in industries and downfall economic condition so in this paper we highlighted some affected corporate sectors and can be overcome quickly if use the right tools in all countries. © 2020 IEEE.

7.
Acta Medica International ; 7(2):63-68, 2020.
Article in English | EMBASE | ID: covidwho-1024704

ABSTRACT

The novel coronavirus-19 (severe acute respiratory syndrome coronavirus-2) pandemic has crossed more than 4,006,257 cases with 278,892 deaths worldwide and 67,152 cases and 2206 deaths in India. The disease has a variable clinical course ranging from mild to severe disease. Although most of the patients are asymptomatic, some patients with comorbidities have a high propensity of clinical worsening and mortality and it is this chunk of patients that we need to recuperate. Studies have shown that a number of laboratory parameters, which are easily available and inexpensive, can adequately predict the disease severity at an early stage. In a resource-limited country like India, where costly investigations cannot be routinely carried out in the magnitude as big as that of this pandemic, it is imperative that patients be monitored with these simple and inexpensive parameters that are elucidated in this review. We carried out an electronic search on PubMed and Google Scholar with keywords “laboratory abnormalities in COVID-19,” “coagulopathy in COVID-19,” “sepsis in COVID-19,” “hematologic abnormalities in COVID-19,” “kidney injury in COVID-19,” “acute respiratory distress syndrome in COVID-19,” “cardiac injury in COVID-19,” “liver injury in COVID-19,” and “severity indicators in COVID-19” till present date (May 11, 2020). All studies that appeared in our search results were scrutinized and 40 studies were selected for the study.

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