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1.
Chest ; 162(4):A1288, 2022.
Article in English | EMBASE | ID: covidwho-2060796

ABSTRACT

SESSION TITLE: Unusual Presentations of Sarcoidosis SESSION TYPE: Rapid Fire Case Reports PRESENTED ON: 10/18/2022 01:35 pm - 02:35 pm INTRODUCTION: COVID-19 infection has brought high morbidity and strain on hospitals. Multiple vaccines have been developed against COVID and are now widely available. These vaccines have been linked to various side effects listed by the Centers for Disease Control and prevention (CDC) website- https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html. We present a case of multisystem sarcoidosis after receiving an mRNA COVID-19 vaccine. CASE PRESENTATION: Our patient is a 42-year-old African American woman who reported low grade fever after her first dose of the BNT162b2 mRNA COVID-19 vaccine (Pfizer). After her second dose, the fever continued, and fatigue and lethargy were noted. She denied any respiratory symptoms and other review of systems were negative. She was referred for autoimmune workup by her PCP. Then, she received her booster dose (~6 months after the second dose) and 2 weeks later, she noticed a right posterior calf mass that was firm and non-tender on exam. Rest of the exam was unremarkable. Orthopedic surgery was involved, and an excision-biopsy was done. Pathology demonstrated non-necrotizing granulomatous inflammation (Figure 1A). Her blood counts and metabolic panel were normal. Other labs showed elevated C-reactive protein of 19 mg/L (normal < 5 mg/L), angiotensin-converting enzyme level of 93 U/L (normal is 9-67 ) and Vitamin D level of 8.4 ng/mL (normal is 20-50 ng/mL). She was referred to pulmonary clinic for further evaluation. Pulmonary function test showed mild restrictive physiology. CT chest revealed enlarged mediastinal and hilar lymph nodes (Figure 2) and lung parenchymal involvement (Figure 3). EBUS-guided TBNA was performed and showed granulomatous inflammation. (Figure 1B). DISCUSSION: We present a case of multisystem sarcoidosis with mediastinal and soft tissue compromise in a temporal association with Pfizer mRNA COVID-19 vaccine. This is an uncommon adverse reaction and has not been reported by the CDC. In our case, there is a strong temporal relationship between the vaccination schedule and onset of symptoms, starting with fever and tiredness as common side effects that progressed to mass-like lesion in leg and mediastinal adenopathy. Cutaneous sarcoidosis might occur with COVID-19 vaccines (#1), however only 3 cases of multisystem sarcoidosis have been reported so far. Two cases developed Lofgren syndrome after the COVID-19 vaccination (#2) and one case with uveitis and parotid compromise (#3). To the best of our knowledge, this is the first case reporting sarcoidosis with soft tissue involvement in association with Pfizer mRNA COVID-19 vaccine. CONCLUSIONS: Our patient met criteria for multisystem sarcoidosis and there is a strong temporal relationship between the onset of symptoms/disease and COVID-19 vaccine. Immunological adverse events related to vaccines are uncommon. Our case elucidates to consider the diagnosis in right clinical context. Reference #1: Niebel D, Novak N, Wilhelmi JZ, Wilsmann-Theis D, Bieber T et al. Cutaneous adverse reactions to COVID-19 vaccines: Insights from an immune-dermatological perspective. Vaccines 2021,9,944. Reference #2: Rademacher J, Tampe B and Korsten P. First Report of Two Cases of Löfgren's Syndrome after SARS-CoV-2 Vaccination-Coincidence or Causality? Vaccines 2021, 9, 1313. https://doi.org/10.3390/ vaccines9111313 Reference #3: Matsuo T, Honda H, Tanaka T, Uraguchi K, Kawahara M et al. COVID-19 mRNA vaccine-associated uveitis leading to diagnosis of Sarcoidosis: case report and review of literature. J Investig Med High Impact Case Rep. 2022 Jan-Dec;10: 23247096221086450. DISCLOSURES: No relevant relationships by Chien Chen No relevant relationships by Eleonora Fiorletta Quiroga No relevant relationships by Manish Joshi No relevant relationships by Angel Mitma No relevant relationships by PRACHI SALUJA

2.
Indian Journal of Critical Care Medicine ; 26:S72, 2022.
Article in English | EMBASE | ID: covidwho-2006361

ABSTRACT

Background: COVID-19 patients who develop hypoxemic respiratory failure despite conventional oxygen therapy usually require high flow nasal oxygen (HFNO) or non-invasive ventilation (NIV). Aim: To compare the effect of both in managing COVID- 19 induced respiratory failure and to determine whether HFNO decreases the rate of intubation when compared with NIV. Settings and design: Single centre, retrospective observational study. Materials and methods: Data collected from medical records. As per the inclusion criteria, patients who received either HFNO or NIV as initial therapy for at least 2 calendar days were analysed. Both the therapies were compared in around 200 patients (HFNO = 100, NIV = 100), with the rate of intubation at day 14 as the primary outcome and length of ICU stay, hospital stay, mortality at day 28, no. of ventilatory free days, complications during ICU stay and comfort score as secondary outcomes. Statistical analysis: Data analysis was done using SPSS software. p value < 0.05 was considered statistically significant. Results: The rate of intubation and mortality rates were higher in the NIV group (P = 0.001), whereas there was no difference in length of hospital or ICU stay among the both (P = 0.15, 0.75, respectively). HFNO group patients were more comfortable (P < 0.05). Conclusion: HFNO is effective in the management of COVID- 19 induced acute hypoxemic respiratory failure with a lower rate of intubation, lower mortality rate, and better tolerance compared to NIV though it does not reduce the duration of ICU or hospital stay.

3.
7th IEEE International conference for Convergence in Technology, I2CT 2022 ; 2022.
Article in English | Scopus | ID: covidwho-1992598

ABSTRACT

Psychiatric problems and disorders are an epidemic in their own right, however, they often go unnoticed & undetected. Post COVID-19, given that most families & individuals were forced to isolate themselves in their homes for huge periods of time, it only made things worse. We humans being social animals needed a refuge, therefore the volume of interactions & personal posts on social media platforms skyrocketed. Whilst, there's huge leverage of text classification techniques using Deep Learning algorithms for financial, commercial applications eg. stock market news analysis, analysing customer behavior, etc. but similar applications in the field of Mental health are quite meager. The text on the social media feed of a person can be critical and of huge help in expeditious detection of depressive disorders. Via the medium of this paper, our aim is to find an optimum solution for the above-addressed problem, we take the real-time user data from an online social networking platform, after which it is pre-processed and analysed, thereafter we use this data to build deep learning-based classifier models i.e. LSTM, (CNN+LSTM), GRU, these models are improved using optimisation algorithms, furthermore, these models are compared and analysed to check which text classification algorithm works best for our use case. © 2022 IEEE.

4.
American Journal of Stem Cells ; 11(3):37-55, 2022.
Article in English | EMBASE | ID: covidwho-1955743

ABSTRACT

Objective: Mesenchymal stem cells can serve as a therapeutic option for COVID-19. Their immunomodula-tory and anti-inflammatory properties can regulate the exaggerated inflammatory response and promote recovery of lung damage. Method: Phase-1, single-centre open-label, prospective clinical trial was conducted to evaluate the safety and efficacy of intravenous administration of mesenchymal stem cells derived from umbilical cord and placenta in moderate COVID-19. The study was done in 2 stages with total 20 patients. Herein, the results of stage 1 including first 10 patients receiving 100 million cells on day 1 and 4 with a follow up of 6 months have been discussed. Results: No adverse events were recorded immediately after the administration of MSCs or on follow up. There was no deterioration observed in clinical, laboratory and radiological parameters. All symptoms of the study group resolved within 10 days. Levels of inflammatory biomarkers such as NLR, CRP, IL6, ferritin and D-dimer improved in all patients after intervention along with improved oxygenation demonstrated by improvement in the SpO2/FiO2 ratio and PaO2/FiO2 ratio. None of the patients progressed to severe stage. 9 out of 10 patients were discharged within 9 days of their admission. Improvements were noted in chest x-ray and chest CT scan scores at day 7 in most patients. No post-covid fibrosis was observed on chest CT 28 days after intervention and Chest X ray after 6 months of the intervention. Conclusion: Administration of 100 million mesenchymal stem cells in combina-tion with standard treatment was found to be safe and resulted in prevention of the cytokine storm, halting of the disease progression and acceleration of recovery in moderate COVID-19. This clinical trial has been registered with the Clinical Trial Registry-India (CTRI) as CTRI/2020/08/027043. http://www.ctri.nic.in/Clinicaltrials/pmaindet2. php?trialid=43175.

5.
American Journal of Respiratory and Critical Care Medicine ; 205:2, 2022.
Article in English | English Web of Science | ID: covidwho-1880676
7.
American Journal of Respiratory and Critical Care Medicine ; 205:1, 2022.
Article in English | English Web of Science | ID: covidwho-1880396
8.
European Journal of Surgical Oncology ; 48(5):e214, 2022.
Article in English | EMBASE | ID: covidwho-1859513

ABSTRACT

Introduction: Breast Incidentalomas occur as an unexpected abnormality demonstrated on imaging performed for unrelated symptoms. Pre-COVID19 pandemic management involved urgent referrals for initial breast team evaluation. Clinical encounters occurred prior to the Multi-Disciplinary Team meeting (MDT). COVID-19 restrictions necessitated streamlining and optimising service provision with clinically appropriate encounters. Our aim was to re-audit (SU-CA-21-22-068) findings and management of breast incidentalomas during the pandemic. Methods: Pre-pandemic analysis of practice (November 2019 - January 2020) led us to the intervention of all referrals straight to MDT without an unnecessary prior clinical encounter, with secondary planned investigations and clinical assessment thereafter. Completion of audit loop and analysis included referral information, MDT outcome, imaging, and clinical correspondence with descriptive analysis. Results: Post-intervention 61 patients were referred to the MDT over an 18-month period (February 2020 - October 2021). 90% of patients were referred following CT scans. Median age 71 (range 32-93), 38% of patients had no additional breast imaging and 74% of patients did not require a tissue biopsy. 15% (n=9) were diagnosed with new breast cancer, 36% were new benign, with 34% already known lesions. 16% of patients required no further intervention. Conclusion: 15% of incidentalomas were diagnosed as malignancies, compared to local 3-4% from one stop clinics. Prompt referral to MDT accelerates triple assessment and tissue diagnosis. Streamlining of patient care optimised appropriate clinical encounters for vulnerable patients. Early senior radiological assessment at the MDT of incidentalomas during COVID-19 provided confirmation of benign features and therefore no further intervention and reassurance for 16% of patients.

9.
Indian Journal of Pharmaceutical Education and Research ; 56(2):321-328, 2022.
Article in English | Web of Science | ID: covidwho-1780208

ABSTRACT

Human beings prefer a predictable and certain environment over an unpredictable and uncertain environment. No one predicted the coronavirus pandemic and it is not certain when the pandemic will come to an end. Pandemics not only affect the physical health but also the mental health of the public. An increase in anxiety and suicide rates has been reported during the previous pandemics and the same trend is also being observed in this current pandemic as well. Pandemics inevitably result in unpredictable and uncertain environments. Many studies have proven that unpredictability and uncertainty increase the levels of stress and anxiety in animals and humans. Coronavirus pandemic has caused many unpredictable and uncertain events resulting in increased confusion, frustration, stress and anxiety among the public. For instance, the institution of lockdowns was unpredictable and it was uncertain when the lockdowns will be unlocked. Similarly, events that unfolded around the initial touting of chloroquine and hydroxychloroquine as a possible therapeutic agent and later lack of evidence in support of these drugs resulted in extreme confusion and frustration. The uncertainty around if a vaccine for coronavirus will be developed and when it will become available for public use has also caused stress and anxiety. Current studies indicate that coronavirus is not just a respiratory virus but it also affects the kidneys, brain, heart and blood vessels. This unpredictable nature of the virus has caused further confusion and frustration. These unpredictable and uncertain events around the current pandemic might have increased the levels of stress and anxiety among the public.

10.
Managerial Auditing Journal ; 2022.
Article in English | Scopus | ID: covidwho-1741119

ABSTRACT

Purpose: This study aims to examine the challenges posed by COVID-19 restrictions for audit processes in India and explore the perceptions of the profession on how technology was leveraged to conduct audits during this period. The opinions of auditors on future changes in post-COVID-19 audit practices and processes are also explored. Design/methodology/approach: Semi-structured interviews were conducted with senior auditors working in various audit firms in major business centers in India and subjected to content and thematic analysis using the institutional theory perspective. Findings: The auditing profession used technology to respond to COVID-19-imposed disruptions of established audit process and practices while maintaining the legitimacy of audit reports. The findings indicate that auditors now seem to strongly support the integration of emerging technologies into their auditing practices post-COVID to ensure data accuracy and transparency. The interviewees displayed keen interest in continuing remote and in-person audits to maintain audit quality in the future. The experience of COVID-19 appears to have forced the auditing profession to overcome their reluctance to adopt technologies that were previously used by only Big 4 and large audit companies. Practical implications: The results will be of particular interest to various stakeholders concerned with aspects of the acceptance of technology-assisted audit reports such as legitimacy, required infrastructure, cost involvement and resistance to change. The findings will also assist professional bodies and policymakers in both developed and developing economies in devising useful strategies to promote technology-aided auditing during and after COVID-19. Limitations posed by inadequate infrastructure and resistance to changes must be overcomed before implementation of technology-aided audits. Originality/value: As COVID-19 pandemic is a recent phenomenon, to the best of the authors’ knowledge, this study is one of the first few studies that have examined the use of technology to facilitate audits during the COVID-19 period, more specifically from a developing economy perspective. © 2022, Emerald Publishing Limited.

11.
12.
10th International Conference on System Modeling and Advancement in Research Trends, SMART 2021 ; : 368-372, 2021.
Article in English | Scopus | ID: covidwho-1722934

ABSTRACT

The current exploration is by and large identified with a framework and technique for anticipating an irresistible sickness, for example, COVID-19 communicated by a harmful respiratory infection. Revealed are a framework and technique for anticipating an irresistible infection communicated by a harmful respiratory infectionThe system joins a larger part of Internet of Things (IoT) sensors, a larger part of fog center devices, and a greater part of handling contraptions in cloud server ranches. The IoT sensors are organized to be joined to a larger part of individuals to deliver a prosperity dataset. The Fog registering devices are connected with a haze lay-er to get the prosperity dataset from the IoT sensors to quantify and store the prosperity dataset over a square chain organization. The contraptions measure the prosperity da-taset at the mist layer by playing out haze handling. The figuring contraptions and cloud server ranches get the taken care of prosperity dataset from the haze center point devices over the blockchain network. This assessment is in like manner requested of for the patent in Indian Patent Office with application number - 202011021969. © 2021 IEEE.

13.
Embase;
Preprint in English | EMBASE | ID: ppcovidwho-326925

ABSTRACT

SARS-CoV-2 pandemic has changed the global landscape since last two years. Against many challenges posed by the COVID-19 pandemic to the humanity, the pace of solutions created by mankind is exemplary;diagnostics, vaccines, alternate therapies, to name a few. With a rapidly changing virus strain, its early identification in the community can be a quick solution to trace the individuals and thus control its spread. This paper describes PCR based quick method for differentiation of Omicron variant of SARS-CoV-2 from other variants. Timely identification of this new variant will enable better management of pandemic control in the population.

14.
9th Edition of IEEE Region 10 Humanitarian Technology Conference, R10-HTC 2021 ; 2021-September, 2021.
Article in English | Scopus | ID: covidwho-1672856

ABSTRACT

The year 2020 will be remembered a battle for existence of mankind against a super spreading virus Covid-19. While health-workers fought from the front, power industry stood like backbone to ensure proper support to handle the crisis. The covid-19 brought lots of changes in people's sociocultural, economic, day to day life. The fear of the pandemic along with its counter measure pushed many people to work from home. On the other hand, health care industry faced an unprecedented demand of oxygen, medicine, transportation, PPE, life support system etc. In this paper it has been shown that how the pandemic affected the different regions of Indian power industry by changing energy and power demand, load pattern, generation resource sharing and creating transients. Also, it describes how Indian Power Industry stood tall by successfully handling all these unprecedented situations. © 2021 IEEE.

15.
Journal of Clinical Oncology ; 39(15 SUPPL), 2021.
Article in English | EMBASE | ID: covidwho-1339224

ABSTRACT

Background: In-hospital mortality among patients with cancer (pts) and COVID-19 infection is high. The frequency of, and factors associated with, donot- resuscitate (DNR) or do-not-intubate (DNI) orders at hospital admission (HA), and their correlation with care, has not been well studied. In November 2020, we began collecting this information for pts who were hospitalized at initial presentation in the CCC19 registry (NCT04354701). Methods: We investigated: 1. the frequency of, and factors associated with, DNR/DNI orders at HA;2. change in code status during HA;and 3. the correlation between DNR/DNI orders and palliative care consultation (PC), mortality or length of stay (LOS). We included hospitalized, adult pts with cancer and COVID-19 from 57 participating sites. Reported characteristics include age, ECOG performance status (PS), and cancer status. Comparative statistics include 2-sided Wilcoxon rank sum and Fisher's exact tests. Results: 744 pts had known baseline and/or changed code status (CS);most (79%) maintained their baseline CS (Table). Those with DNR±DNI orders at HA were older (median age 79 vs 69 yrs, p<0.001) and more likely to have: ECOG PS 2+ vs 0-1 (45% vs 22%, OR 3.95, p<0.001), metastatic disease (45% vs 35%, OR 1.72, p=0.005) and progressing cancer (32% vs 16%, OR 2.69, p<0.001), but equally likely to have received systemic anticancer therapy in the prior 3 months (38% vs 45%, p=0.15). N=192 pts with a change in CS from full to DNR±DNI were younger (median age 73), had better PS (37% ECOG PS 2+), and were less likely to have progressing cancer (23%) than those with DNR±DNI orders at baseline. However, their LOS was significantly longer, median 9 vs 6 days, p<0.001. Compared to those with DNR±DNI orders at HA, pts whose CS changed to DNR±DNI were more likely to die, OR 2.94, 95% CI 1.76-4.97, p<0.001. PC was obtained in 106 (14%) pts and associated with transition to DNR±DNI in 47 (44%), affirmation of admission CS in 58 (55%), and reversal in 1 (1%). Median LOS for pts receiving PC was 11 vs 6 days, p<0.001. Conclusions: In our sample, the majority of patients with cancer and COVID-19 were full code at hospital admission. DNR±DNI status, whether at baseline or assigned during the hospital course, was associated with worse prognosis. Longer length of stay for patients changing code status and/or receiving palliative care consultation was observed likely suggesting earlier palliative care consultation is an important, but likely underutilized component in the care of patients with cancer and COVID-19. (Table Presented).

16.
Journal of Pharmaceutical Research International ; 33(37B):11, 2021.
Article in English | Web of Science | ID: covidwho-1332386

ABSTRACT

Most discussing topic in the year 2020 is nCovid-19, popularly known as Covid-19 in which most anticipated debates are going on for concluding the justification of lockdown. Present work reveals that India where large population lives in very dense localities are still struggling for improving its healthcare facilities. From very beginning government of India has taken many important steps to protect the country from this pandemic. The Government has taken the decision of lock down and face criticism for imposing lock down. But now we can understand that at very initial stage where the modern science and technology failed to explain all aspects of this pandemic, in that situation the lockdown was a good decision, It provided sufficient time for government and healthcare departments to be ready to deal with this pandemic. This paper is also explain the post Covid-19 complications.

18.
Journal of Learning for Development ; 7(3):473-478, 2020.
Article in English | Scopus | ID: covidwho-1136767

ABSTRACT

ISO Colegío in Paraiba, Brazil, implemented Finnish innovation pedagogy from Turku University of Applied Sciences (TUAS) as a pedagogical strategy in their new primary school in early 2020. The implementation started in class teaching but due to the pandemic, it was transferred online, still using the new pedagogical approaches. Experiences by teachers and pupils have so far been mostly positive. Management has been satisfied with the overall success and plan to continue with innovation pedagogy as a strategy. © 2020, Commonwealth of Learning. All rights reserved.

19.
Disaster Advances ; 14(3):44-53, 2021.
Article in English | Scopus | ID: covidwho-1136738

ABSTRACT

Covid-19 disease outspread and its subsequent control and inhibition strategies in various countries have been different which led to quite drastic differences in the outcome of the disease progression. In this study, we present a simple analytical and numerical study of Covid-19 disease spread and control by applying the modified SIR model of epidemic outbreak to explain the Covid spread from February-July 2020 in various countries. Two approaches are evident from the disease progression: one focused on disease eradication and inhibition and the other is less restrictive dynamic response. Both the approaches are analytically modeled to determine the parameters that characterize the effectiveness of dealing with the disease spread. The model successfully explains the Covid-19 evolution and control of various countries over a vast span of four-five months. The study is highly beneficial to simply analytically and numerically model this complex problem of epidemic proliferation and physical problems involving growth and decay. It assists to easily determine the mathematical parameters for the Covid-19 control measures, helps in predicting the end of the epidemic and most importantly conceiving the judicious way of unlock process to restore communication between cities, states and countries. © 2021, World Research Association. All rights reserved.

20.
Pneumon ; 33(4):187-190, 2020.
Article in English | Scopus | ID: covidwho-1130234

ABSTRACT

Over the small period of time COVID-19 has become a global pandemic and affected hundreds of countries all over the world. The main objective of our study is to report clinical and demographic profile of mild cases of COVID-19 disease. It is a descriptive study of 105 COVID-19 positive patients whose diagnosis was confirmed with polymerase chain reaction (PCR). The clinical, radiological and laboratory data were collected including age, sex, contact history, symptoms, duration of stay and swab conversion rate. The mean age of population was 39.75 years with a male preponderance. The most common symptom noted was sore throat (29.52%) followed by fever (26.67%). The vital and laboratory parameters were normal in all. All patients recovered with no residual symptoms. We used the innovative 40 step test to early identity deterioration. Eight cases were transferred to high dependency unit/intensive care in view of breathlessness & desaturation in oxygen level and recovered completely. We had no deaths. © 2020, Technogramma. All rights reserved.

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