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Coronavirus disease 2019 (COVID-19) has spread in multiple countries and caused major worldwide concern. The continual increase in the number of COVID-19 cases is overwhelming the world economy and has become a serious concern to global health. It is supposed to as an absolute to severe acute respiratory syndrome (SARS), formally known as beta-coronavirus, which was termed as COVID-19 through World Health Organization (WHO). Even with its deadly recurrence, several actions have been taken to diagnose and treat the disease as fast as possible. Rigorous quarantine efforts and global containment are being performed. Apart from this, the incidence of pandemics, similar to COVID-19, had been into existence a few decades back. Various techniques and technologies are being introduced previously, by various authors, to tackle the pandemic. Health authorities, worldwide, concluded with surveillance and tracking of individuals, while others opted for application-based techniques to keep track of the infected individuals, etc. The study proposed a cloud-based network to manage pandemic situations like COVID-19. With this proposed scenario and detailed survey, government authorities and researchers (worldwide) can opt for appropriate ways to control its recurrence;and will help to stop further propagation using dynamic surveillance. © 2023 Scrivener Publishing LLC.
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This paper attempts to give an overview of the system which is designed keeping social distancing guidelines in mind. Our system will detect in real-time, if the person in the captured live video is wearing a mask properly or not using a mask detecting algorithm developed using deep learning and neural networks with an accuracy of 96.05%. If and only if the person is wearing a mask, they will be allowed to scan the iris and hence record their attendance, which can be stored in excel or CSV formats. The location of iris biometric is translated to a real-life position in the 3D space with the resolution of 0.lmm. To scan the located biometric this system comprises a robotic arm. End effector of this robotic arm traverses to the translated position of the person's eye to scan iris with an iris scanner. The system employs a 'four degrees of motion' robotic arm that can autonomously align itself to the iris with an accuracy of 96.86%. It is battery operated and has a cylindrical workspace with maximum range of 300mm, hence it is easily deployable in institutions requiring secure authorization while monitoring COVID-19 safety norms. © 2022 IEEE.
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The advancement of technology along with the unprecedented situation like Covid-19 has brought a big revolution in the e-commerce industry. The consumer finds ease in shopping domestic appliances online as compared to traditional shopping. The present study is being conducted to investigate the factors that influence customers' online purchasing intentions (COPI) whereby trust (TT), perceived use and usefulness (PEUU), e-service quality (ESQL), perceived behavior control (PBC), subjective norms (SNM) and consumer online shopping behavior (COSB) were analyzed. A questionnaire was utilised as a survey tool to collect data from 383 respondents using a quantitative methodology. The data were examined using structural equation modelling (SEM) to test the hypothesis, fit the model, and determine the relationship between the variables evaluated. The analysis concluded that consumer online purchase intention (COPI) acts as a mediator between the independent variables (TT, PEUU, ESQL, PBC, SNM) and the dependent variable consumer online shopping behavior (COSB). According to the findings, perceived use and usefulness (PEUU) had a negative influence on purchase intention and behaviour, but consumer online purchase intention had a substantial effect on consumer online purchasing behaviour. The study provides scope and new avenues for future research. In addition to this, it also provides the platform for other researchers to target a specific age, gender, education, or marital status to design a new pattern of online shopping.
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Leadership is a journey that never stops and has power to evoke the minds of the people in the organisation. Outbreak of COVID-19 left individuals and organizations with many shocks due to unprecedented change. Transformational leadership style evokes the behaviour of employees towards better task. This study aims to establish the relationship between the transformational leadership and its impact on the employee performance in COVID-19 era. An empirical study was conducted by a survey, administered on employees of IT sector. Hypotheses were tested on a sample of 300. Statistical tools such as excel and SPSS were used for analysis. Multiple Regression was applied to study the influence of transformational leadership on employee performance. The results showed there is a significant relationship between transformational leadership and employee performance and the predictive variable traits of transformational leadership contributed significantly.
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The present cross-sectional, observational study was done to assess the new norms of dental education, its effect on the students, and awareness in the post-COVID-19 era. Every question had 2 options- after complete lockdown and after partial lockdown. A higher percentage of the students believed that quarantine during the lockdown enhanced their collaboration with their fellow students. 60.7 % of the students during the complete lockdown and 76.9% during the partial lockdown, felt more motivated by the distant technology-dependent model of education. Students during the complete lockdown (69.20%) and partial lockdown (69.50%) felt that online group discussion and discussion of clinical-based case scenarios had an enhancing effect on their learning. Dental students (67%) in the complete lockdown and 75.70% in the partial lockdown felt comfortable with the e-learning. During the complete lockdown, 57.9% of the subjects were not confident in the clinical skills acquired, whereas during the partial lockdown only 38.2% were not confident in the clinical skills acquired. Mean scores for dental education, clinical readiness, and self-preparedness were higher after the partial lockdown as compared to the complete lockdown. However, the self - preparedness was more after the partial lockdown as compared to the complete lockdown. Dental colleges have to deal with e-learning methods being developed all of a sudden due to the pandemic. However, there are still problems with online learning and teaching that can be improved with the help of a supportive administration and tutors recording of learning videos as well as proper training of the staff and students. © The Author(s), 2022.
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SESSION TITLE: Critical Thinking SESSION TYPE: Case Reports PRESENTED ON: 10/19/2022 09:15 am - 10:15 am INTRODUCTION: Compressive therapies to improve respiratory mechanics, such as abdominal compression, have been described in literature in patients with COVID-19 induced acute respiratory distress syndrome (COVID-19 ARDS) 1–3. These compressive therapies minimize the risk of barotrauma by equal distribution of pressure across the alveoli. Hence, they help with lung protective ventilation. This phenomenon of paradoxical improvement in respiratory compliance with increase in intraabdominal pressure (IAP) has not been described in ILD population. We describe a case of end-stage fibrotic ILD, secondary to hypersensitivity pneumonitis (HP), exhibiting a paradoxical improvement in respiratory compliance with sustained abdominal compression. CASE PRESENTATION: 56-year-old female with history of NASH-related cirrhosis was transferred to our hospital for expedited work-up of lung transplant due to rapid progression of biopsy-proven steroid-unresponsive fibrotic HP. Due to worsening hypoxic respiratory failure, she was intubated on arrival to our hospital. Following intubation, she was sedated and paralyzed and was found to have high peak and plateau pressures in supine and reverse Trendelenburg positions. However, on application of abdominal pressure, her peak and plateau pressure showed a dramatic reduction in absolute values. This reduction was sustained during the entire duration of the maneuver. Overall, it reduced driving pressures and improved the static compliance of the respiratory system. We subsequently applied abdominal binder (table 1) and found a similar decrease in pressures (see images). Unfortunately, due to functional disability, patient was not deemed a candidate for lung and liver transplant and was transitioned to comfort measures. DISCUSSION: Paradoxical improvement in respiratory compliance has been demonstrated in late-stage COVID ARDS1,2. The mechanism behind this is unclear. In theory, increase in IAP increases intrapleural pressures, reduces end-expiratory volume and overdistention of aerated lung1,2. We hypothesize that patients with end-stage ILD behave similarly to patients with COVID-ARDS. However, this is purely exploratory as our observations are limited by lack of intrapleural measurements. Use of abdominal compression is a simple maneuver, which can be performed at the bedside to assess for the paradoxical phenomenon. Even though we postulate that long-term abdominal compression is well tolerated, we do not know the effects of sustained long-term abdominal compression on gas-exchange and chest wall dynamics. CONCLUSIONS: Patients with end-stage fibrotic lung disease, exhibiting high-driving pressures on mechanical ventilator in supine and reverse Trendelenburg positions, can be screened for reduction in peak and plateau pressures with abdominal compression. Use of this maneuver may help in lung-protective ventilation and minimize ventilator-induced lung injury. Reference #1: Elmufdi FS, Marini JJ. Dorsal Push and Abdominal Binding Improve Respiratory Compliance and Driving Pressure in Proned Coronavirus Disease 2019 Acute Respiratory Distress Syndrome. Crit Care Explor. 2021;3(11):e0593. doi:10.1097/cce.0000000000000593 Reference #2: Julia Cristina Coronado. Paradoxically Improved Respiratory Compliance With Abdominal Compression in COVID-19 ARDS. Is COVID-19 a risk factor Sev preeclampsia? Hosp Exp a Dev. 2020;(January):2020-2022. Reference #3: Stavi D, Goffi A, Shalabi M Al, et al. The Pressure Paradox: Abdominal Compression to Detect Lung Hyperinflation in COVID-19 Acute Respiratory Distress Syndrome. Am J Respir Crit Care Med. 2022;205(2):245-247. doi:10.1164/rccm.202104-1062IM DISCLOSURES: No relevant relationships by Abhishek Bhardwaj No relevant relationships by Brandon Francis no disclosure on file for Marina Freiberg;No relevant relationships by Simon Mucha No relevant relationships by Arsal Tharwani
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Corporates around the world have engaged themselves in a wide range of philanthropic and corporate social responsibility (CSR) initiatives to protect their employees, support communities, and maintain trust in society during the COVID-19 pandemic. This chapter highlights the CSR initiatives by 20 major companies during the COVID-19 pandemic. The contributions relate to technology solutions, support to education and healthcare, support to government initiatives, and support to own employees and customers, etc. Providing free tools for collaboration and the development of chatbots are some innovative solutions that have affected a large segment of the people. Along with this, traditional methods of support like eradication of hunger, healthcare, education, and disaster management have remained a focus for a number of corporates across the globe. The chapter analyses the prominent initiatives and their contribution to society during a pandemic and discusses their sustainability perspective. © 2021, IGI Global.
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Background: Digital health solutions (DHS) allow for enhanced remote communication between patients and clinical staff and the COVID-19 pandemic has brought these tools to the forefront of care delivery. Once adopted, barriers to adequate utilization still exist. Given the important need to decrease digital divides, and the diversity of patients and care settings across our clinic's 220 sites of service, we sought to understand how utilization of oncology DHS may be limited among certain populations. Methods: We investigated utilization among cancer patients who enrolled and engaged with a portfolio of DHS between March 1, 2019 and January 15, 2022. This portfolio includes three tools: (1) an electronic patient-reported outcomes (ePRO) remote monitoring program for tracking symptoms and oral adherence, (2) a patient portal (PP) for securely accessing patient health records, and (3) digital education (DE) for patients regarding disease and treatments. ePRO completion rate, average number of PP logins, and DE read rate were used as measures of utilization for each tool, respectively, and compared among patients with different age (< 65 and ≥65 years), language preference [English (EL) or Spanish (SL)], and distance from clinic (non-rural: < 20 miles OR rural: ≥20 miles). Mann-Whitney U and Chi-Square tests were used to compare continuous and categorical variables, respectively. Results: This study included a total of 77,347 unique patients representing 651,004 digital encounters. 9,938 patients engaged in ePRO, 49,771 patients in PP, and 12,044 patients in DE. Engagement across all DHS was high in patients of age group < 65 (ePRO: 72.7%, PP: 79.67% and PE 54.7%) as compared to ≥65 years, but the ePRO completion rate is high in ≥65 age group (59.0% vs 55.6%), whereas no significant difference was observed in the PP login activity and DE read rate. EL patients were significantly (p-value < 0.01) more engaged (ePRO 68% vs. 54%, PP: 80% vs. 62%, DE: 57% vs. 37%) and had higher digital utilization (ePRO completion rate: 57.31% vs 53.23%, average PP logins: 7.48 vs 7.14 and DE read rate: 96.2% vs 90.8%) than SL patients across the DHS. Patients living in rural areas comprised roughly 25% of the population and participated across tools similarly as patients living in non-rural areas (ePRO 67% vs. 69%, PP: 79% vs. 79%, DE: 56.9% vs. 56.8%). Utilization of the portfolio was variable based on rural vs non-rural status (ePRO completion rate: 56.3% vs. 57.4%, average PP logins: 7.9 vs. 7.3, DE read rate: 96.02.7% vs 96.3%). Conclusions: Despite variable engagement based on age, language, and rural status across the portfolio, patients within these populations continue to utilize the DHS. How we understand and explore enhancements to DHS remain under investigation for tool optimization for patient-specific barriers to care.
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In addition to the loss of human life, the COVID-19 pandemic has had a significant influence on the economic climate of India, which has resulted in significant disruptions to economic activities. The coronavirus pandemic is the worst thing that has happened to the world in the past year, and India, along with the other nations of the world, is taking action against COVID-19 by enforcing a lockdown, which requires people to stay indoors and isolate themselves beginning March 25, 2020. The effects of the lockdown that India has been under for the past 53 days are being felt across the entire economy of India, albeit to various degrees of intensity and with unpredictable outcomes. The fact that the service sector is responsible for approximately half of India's GDP is notable, and it was particularly heavily impacted by the first wave of the COVID-19 attack. This paper is an attempt to determine the impact that COVID-19 will have on the retail sector of the Indian economy. This sector is playing a significant role in the contribution of GDP, and the contribution of the unorganized retail sector or the informal sector cannot be ignored because of the large number of workers who are engaged in casual work, which accounts for about a quarter of the total workforce in India. This paper is descriptive in nature and is based on data and sources that have been published previously. India is currently experiencing significant trade deficits as a result of the widespread outbreak of the Coronavirus and the ensuing lockdown. As a result of the ongoing huge lock-down triggered by covid-19, over 10 crore workers in the unorganized and informal sector have been forced out of their jobs. It is anticipated that India's trade epidemic might be worth approximately US$ 348 million. Undoubtedly, the government has established a number of programs designed to stimulate growth in the retail sector;but, in order for retailers to be successful in their fight against covid-19, they must also adjust their business plans to account for shifting market conditions.
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The COVID-19 pandemic has changed the working of almost all the organisations from physical to online mode, due to its social distancing norms. Working in online mode requires a collaboration platform for sharing documents, audio and video in real time. However, due to poor privacy barriers and ignorance of participants, pranksters, fraudsters and cyber criminals are able to breach the privacy in these collaborations. The present work highlights the privacy features of the popular collaboration tools and their implications for the users. Major privacy breach incidences have been presented along with the associated technological glitches. A privacy enhancement framework has been proposed with six significant pillars as: 1) user centric privacy design;2) compliance to privacy laws;3) access control;4) transparency;5) awareness and education;6) ethical contact tracing. The privacy framework will be able to take-up the privacy challenges in online collaboration, if properly implemented. Also, the framework is more user centric rather than organisation centric, hence it can be used by both the individual and institutional users.
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Introduction: Pulmonary Epithelioid hemangioendothelioma (EHE) is a rare vascular tumor;with approximately 248 cases of reported in the literature, making diagnosis and management challenging. Case: A 57-year-old female with past history of hypertension, hyperthyroidism and scoliosis was admitted with worsening chronic right flank pain. Initial lab workup was unremarkable. revealed COVID-19 PCR test was negative. CT chest revealed bilateral pleural effusions and CT abdomen showed 2.8 x2.0cm vague hypo-attenuating lesion in the right hepatic lobe. A repeat CT scan following thoracentesis demonstrated multiple bilateral pulmonary nodules, with the largest located in the right lower lobe (RLL) measuring 2.1cm (Image). Flowcytometry on bronchoalveolar lavage fluid was significant for a CD4/CD8 ratio of 5;however, the transbronchial biopsy was unremarkable. Differential diagnosis included sarcoidosis and hence patient was discharged on prednisone with Bactrim prophylaxis. She underwent VATS lung biopsy. RLL and pleural biopsies revealed EHE. Following the prednisone taper, patient was placed on pazopanib 800mg. The dose of medication subsequently reduced to 300-600mg due to adverse events. Repeat CT scans at 3 months demonstrated minimal change in size of the nodules. Patient continues to be followed on regular basis with a stable clinical status. Discussion: EHE is a low-intermediate grade malignancy which affects mostly liver, lungs and bones;although it can be found in any bodily tissue. Up to 50- 76% of patients are asymptomatic at diagnosis, with the most common symptomatic being local pain. Radiologically, Pulmonary EHE consists of bilateral perivascular nodularity. Our case describes the clinical course of a rare and poorly understood disease. Clinicians must be aware of the characteristics of unusual diseases and pursue robust diagnostic approach. In our case, biopsy led to the definitive diagnosis of EHE. Because of its rarity, there is no standard therapy for metastatic disease. Pazopanib has demonstrated prolonged long-term disease control in observational studies. Some other reports have shown response to cytotoxic chemotherapy such as doxorubicin-containing regimens, however, long-term survival is compromised. Lenalidomide, sorafenib and sunitinib have also been used, but the experience is limited. Our patient is currently on her 4th month of treatment with pazopanib, with 3-month follow-up showing no progression of disease. (Figure Presented).
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This study aims to assess the continuity of medical care, the impact on disease condition and to highlight the major challenges faced by people affected by leprosy during the pandemic. Telephonic questionnaire-based survey was conducted among previously registered patients of leprosy at referral hospitals in India. Leprosy affected people aged >18 years, either on treatment or who had completed treatment with access to phone and willingness to participate were included. The questions were asked pertaining to demographic details, baseline disease characteristics and various problems faced during lockdown relating to livelihood, finances, treatment, and mental status. A total of 196 patients consented to participate in the study. Mean age of study participants was 37.31 (13.86) years, male participants (n=123, 62.7%) were more than females (n=73, 37.2%). Overall, 101 patients (51.5%) experienced exacerbation, 21 patients (10.7%) reported improvement and 74 patients (37.8%) reported no change in disease status during the pandemic. Most common difficulty faced was the procurement of medicines (115 patients, 58.6%) followed by difficulty in diagnostic testing (61 patients, 31.1%). Course of treatment was interrupted in 16 patients. Most of the patients (n=147, 75%), agreed that teleconsultation services would aid in management of their disease. The majority of patients (88.2%) were able to continue some form of treatment. Two patients (1%) tested positive for COVID-19. Nearly all patients (n=189, 96.4%) were informed regarding the risks and preventive measures related to COVID-19. Fifty percent of the patients reported deterioration in mental health due to the pandemic. The present study highlights the gaps in healthcare delivery and social inequalities along with their impact on the health, livelihood and mental status of people affected by leprosy during the current COVID-19 pandemic.
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The chapter discusses about the sentimental analysis of fears, psychological disorders and health issues of the individuals. The qualitative data of 42 millennials working in different sectors has been collected to analyze the findings. The major findings of the chapter dealt with how the millennials are facing the challenges of several psychological disorder, fears in order to fulfill their jobs and duties during Covid-19, which impact their physical health as well. The study provides a result discussion with the help of word cloud and sentimental analysis, thematic analysis of millennials through NVIVO-12. The chapter concludes that this pandemic creates a window for discussing the psychological fears and mental health issues openly in Indian context. The chapter provides a future scope for the researcher to do the quantitative analysis for the same variables. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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In December 2019, a group of people in Wuhan city of Hubei province of China were found to be affected by an infection called dark etiology pneumonia. The outbreak of this pneumonia infection was declared a deadly disease by the China Center for Disease Control and Prevention on January 9, 2020, named Novel Coronavirus 2019 (nCoV-2019). This nCoV-2019 is now known as COVID-19. There is a big list of infections of this coronavirus which is present in the form of a big family. This virus can cause several diseases that usually develop with a serious problem. According to the World Health Organization (WHO), 2019-nCoV has been placed as the modern generation of Severe Acute Respiratory Syndrome (SARS) and Middle East Respiratory Syndrome (MERS) coronaviruses, so COVID-19 can repeatedly change its internal genome structure to extend its existence. Understanding and accurately predicting the mutational properties of the genome structure of COVID-19 can form a good leadership role in preventing and fighting against coronavirus. In this research paper, an analytical approach has been presented which is based on the k-means cluster technique of machine learning to find the clusters over the mutational properties of the COVID-19 viruses’ complete genome. This method would be able to act as a promising tool to monitor and track pathogenic infections in their stable and local genetics/hereditary varieties. This paper identifies five main clusters of mutations with k = 5 as best in most cases in the coronavirus that could help scientists and researchers develop disease control vaccines for the transformation of coronaviruses. © 2022 Tech Science Press. All rights reserved.
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The COVID-19 epidemic began in Wuhan, China and has now expanded to the majority of a world's nations. The propagation of a pandemic is primarily determined according to each country's policies and social responsibilities. As per the WHO, the attack rate for 23 June 2020 is estimated to be between 1.4 and 2.5. In comparison to industrialized nations, India's position is rather manageable. It would be fascinating to learn about the facts and data surrounding corona cases throughout India. On world meters, many forms of data are provided. We aimed to assess similar information for India and created several predictions on the impacted rate, daily new cases, and daily total completed cases, among others. COVID-19 has cruelly stopped everything within civilization. An examination of COVID-19 records to determine which age groups are the most affected by the virus. Various Machine learning is used to develop predictive model. Algorithms as well as their related performance data are calculated and analysed. Regressor Random Forest and Random Forest The classification algorithm beat all other machine learning algorithm. such as Support Vector Machine, KNN+, Neighbourhood Component Analysis, decision tree classification, and Gaussian Classifier naive Bayesian, Multi linear Regression, various Logistic Classifiers based on the regression technique and the Extreme Gradient Boosting algorithm. © 2021 IEEE.
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Over the years, the domain of psychological therapy and counselling has significantly expanded and established different forums to provide mental health services. The use of virtual therapy for providing mental support to individuals has drastically increased by professionals over the internet through emails, chatting over voice, audio platforms or chat rooms. The world was exposed to certain triggers initiated due to the unprecedented crisis of the COVID-19 pandemic, yet therapy applications have helped alleviate mental health challenges and maximize benefits towards the psychological wellbeing of the society. However, evaluation of its efficiency in actually helping people during a crisis is important. The present study aims to (a) Evaluate online counselling services and its effectiveness in providing the necessary emotional support during the pandemic and (b) Understand perspective of trained experts and members on e-therapy platforms. Initially, the study carefully reviewed existing literature on virtual therapy. An online survey was designed to garner the opinions of over 100 mental health professionals about online counselling services. The results reported, about 72% of the experts would consider shifting to virtual platforms during difficult situations for their clients. This paper is particularly useful for mental health professionals evaluating the shift to online platforms for their clients. In the future, researchers could develop technology to enhance the process of e-therapy for the clients and the experts. © 2021 IEEE.
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Introduction: The Coronavirus Disease 2019 (COVID-19) is associated with damage of cells of both innate and adaptive immunity, which results in immune system's impairment leading to secondary infections. Microbiological evaluation helps in diagnostic as well as antimicrobial stewardship leading to accurate treatment of COVID-19 infected patients. Aim: To evaluate superadded bacterial and fungal infections in COVID-19 infected patients and to evaluate bacterial and fungal infections in COVID-19 non infected patients admitted with Acute Respiratory Illness (ARI). Materials and Methods: This retrospective study was carried out in a tertiary care hospital in Delhi, India, over a period of eight months (May to December, 2020). Respiratory samples, received from indoor patients with history of ARI, were processed for COVID-19 (TrueNat Real Time Polymerase chain reaction) as well as for bacterial and fungal cultures following Standard Operating Procedures (SOP). Identification and susceptibility pattern was evaluated by Vitek2 compact system (bioMérieux, Inc. Durham, North Carolina/USA). Quality control strains used were American Type Culture Collection (ATCC) Staphylococcus aureus 29213, Escherichia coli 25922 and Candida parapsilosis ATCC 22019. Minimum Inhibitory Concentration (MIC) levels were standardised as per Clinical and Laboratory Standards Institute (CLSI) guideline, 2020. All statistical analysis was done by Chi-square test using Software Statistical Package for the Social Sciences (SPSS) version 22.0. Results: Total patients admitted with the history of ARI were 542;COVID-19 Positive Group (CPG) included 115 (21.22%) while COVID-19 Negative Group (CNG) included 427 (78.78%). Growth in bacterial and fungal cultures in CPG was 59.13% (68/115) while in CNG;it was 47.78% (204/427). Among the bacterial isolates, most common isolate was Klebsiella pneumoniae {CPG: 41.93% (26/62);CNG: 36.72% (76/207)}, followed by Pseudomonas aeruginosa {CPG: 33.87% (21/62);CNG: 31.88% (66/207)}. Fungal isolates in CPG was 19.48% (15/77) (p-value 0.0445). On comparing Antimicrobial Susceptibility (AST) pattern of Enterobacterales in both CPG (n=36) and CNG (n=102), no statistically significant difference was observed. Co-morbid conditions were found mostly in CNG 89% (140/158) with ARI while only 11% (18/158) was found in CPG. Conclusion: Secondary respiratory infections are quite common amongst COVID-19 positive patients. However, growth in culture, type of isolates, Antimicrobial Resistance (AMR) was almost similar with COVID-19 non infected patients admitted with ARI. Co-morbidity had the similar impact as COVID-19 infection with respect to co-infections.
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INTRODUCTION: Early reports from Wuhan, NYC and Detroit showed poor prognosis after in hospital cardiac arrest (IHCA) in COVID-19 patients. Factors leading to poor outcomes included overwhelmed healthcare systems, cardiac arrests on regular nursing floor instead of ICUs & shorter duration of resuscitation efforts. We aimed to assess whether there was a difference in resuscitation efforts in our healthcare system during the COVID-19 pandemic (22% survival - recently reported) when compared to our historic MICU IHCA (16% survival) resuscitation attempts. METHODS: In this retrospective study, we compared the duration of resuscitation between two cardiac arrest cohorts. Cohort one included COVID-19 IHCA patients who were admitted from 03/2020- 10/2020 in the ICU of the Cleveland Clinic Health System of NE Ohio. Cohort two included patients who were admitted to the medical ICU of Cleveland Clinic from 01/2014-12/2018. Study was approved by the IRB and data obtained through EMR and quality and patient safety registry. 2:1 propensity score matching was performed to derive two matched groups for outcome analysis. Wilcoxon test was used to compare the duration of resuscitation between two cohorts. Wilcoxon test was used to compare the duration. The statistical analysis was carried using R 4.0.3 and p< 0.05 was considered statistically significant. RESULTS: There were a total of 442 patients, 384 in non- COVID-19 cohort and 58 in COVID-19 cohort. The mean age of the study population was 61.3 (16.2) years and 44.5% were females. In 90.8% (n=385) patients, rhythm was nonshockable. After propensity score matching, there was no significant difference in the mean duration of resuscitation in COVID-19 (n=57) and non-COVID cohort (n=114) (13.1 (11.7) vs 11.4 (10.2), p=0.470). CONCLUSIONS: In this study, we found that there was no significant change in the duration of the resuscitation attempts in patients with COVID-19 when compared to the historic cohort of critically ill patients who had an IHCA. The favorable outcomes we noted in our patient cohort is related to the systems of care, the large ICU capacity, expansive restructuring of critical care resources and investment into critical care COVID 19 specific education.