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HMG-CoA reductase inhibitors (statins), lipoprotein lipase activators (PPARα agonists) or fibrates are commonly used for controlling increased lipid levels in hyperlipidemia. Fenofibrate (FEN) belongs to the second generation prodrug fibric acid (isobutyric acid) derivative belonging to lipoprotein lipase activator class of drug. Results of clinical studies suggest that FEN can substantially reduce severe acute respiratory syndrome coronavirus 2. alpha and beta variant infection in human cell efficiently. This review article provides an in-depth examination of critical analytical methodologies used in the pharmaceutical analysis of FEN in pure forms, biological samples and pharmaceuticals. According to literature study reports several analytical techniques have been used for determination of FEN alone or in the combined dosage forms. Based on the literature, it was determined that high-performance liquid chromatography and UV/vis-spectrophotometry are the most widely used methods for FEN analysis. Sahoo et al. have developed the best HPLC method in bulk and pharmaceutical dosage form with the retention time of 19.268 min using phosphate buffer (pH 3.0): acetonitrile in the ratio of 30:70 (% v/v) as mobile phase. The information presented here may provide a solid foundation for future research on FEN in the field of drug analysis.
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Every individual wishes and desire to be in good health. In the existence environment it has become exceedingly unusual to maintain a good health. The era of CORONA virus compiled every country of the world to give healthcare highest ion all respect. An ideal response to such an epidemic is an IoT-based health score indicator. Real-time health score indicators built by using Internet of Things (IoT) is intended to relieve the stress and movement of ill and fatigued patients. The patients can quickly perform many necessary or obligatory medical tests on-site. In today's hectic society, the vast majority of people as well as patients prefer medical testing to be done at home. In this study, various tools were combined including the thermometer, blood pressure, glucometer, pulse oximeter, heartbeat, and ECG on a single unit. The sensors along with Arduino and LCD were merged to create a single gadget. Moreover, a server-based Android app will be developed to upload information about all the testing results which can makes the patient life easier. © 2023 IEEE.
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Time-evolution of partial differential equations is fundamental for modeling several complex dynamical processes and events forecasting, but the operators associated with such problems are non-linear. We propose a Padé approximation based exponential neural operator scheme for efficiently learning the map between a given initial condition and the activities at a later time. The multiwavelets bases are used for space discretization. By explicitly embedding the exponential operators in the model, we reduce the training parameters and make it more data-efficient which is essential in dealing with scarce and noisy real-world datasets. The Padé exponential operator uses a recurrent structure with shared parameters to model the non-linearity compared to recent neural operators that rely on using multiple linear operator layers in succession. We show theoretically that the gradients associated with the recurrent Padé network are bounded across the recurrent horizon. We perform experiments on non-linear systems such as Korteweg-de Vries (KdV) and Kuramoto-Sivashinsky (KS) equations to show that the proposed approach achieves the best performance and at the same time is data-efficient. We also show that urgent real-world problems like epidemic forecasting (for example, COVID-19) can be formulated as a 2D time-varying operator problem. The proposed Padé exponential operators yield better prediction results (53% (52%) better MAE than best neural operator (non-neural operator deep learning model)) compared to state-of-the-art forecasting models. © 2022 ICLR 2022 - 10th International Conference on Learning Representationss. All rights reserved.
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The Internet of things (IoT) is a system of interconnected devices and linked electronic devices which can collect, transmit, and manage data without human or computer intervention. The IoT is also potential technology that transforms everyday objects into dependable and effective intelligent things. It has impacted every element of life;however, its influence on healthcare has become particularly profound because of its slicing facet shift. It is now feasible to link innovative items over the internet and provide more digitally connected world ways for special applications. In published research on IoT in health care and the COVID-19 epidemic, the potential of this platform is examined. This literature-based research might also help specialists imagine related problems and combat the COVID-19 outbreak. This study report examines the human healthcare IoT (H2IoT) state, including existing services, architecture, topology, tools, services, and healthcare applications. In modern hospitals, "IoT” technology and internet-connected digital gadgets are commonplace. Clinicians have now abandoned paper and have become entirely or partly reliant on devices linked to wireless connections and tablets. © 2023 selection and editorial matter, Durgesh Srivastava, Neha Sharma, Deepak Sinwar, Jabar H. Yousif, and Hari Prabhat Gupta;individual chapters, the contributors.
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Coronaviruses has been spreading across the planet for more than two years now. Emerging new competent variants makes the surge never ending. With over thirty crore cases as on first week of January 2022 this virus has caused serious havoc to humanity. Due to evolutionary selection, new variants become predominant. These new variants are associated with higher transmissibility, increased severity, re infection, immune and diagnostic escapes. It has been prescribed that emergence of herd immunity either achieved by vaccination or by natural infection will be the game changer. Nonetheless COVID appropriate behavior has to be strictly followed. We take the opportunity to describe the variants which created and are still creating havoc all along the world.
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Introduction: Coronavirus disease 2019 (COVID-19) causes abnormalities in the hemostatic system, which are referred to as COVID-associated coagulopathy. Whole blood viscoelastic studies, such as thromboelastography (TEG), are the best way to determine the dynamics of clot formation. The hypercoagulable state seen in COVID-19 patients is aggravated by a severe state of fibrinolysis shutdown, which is caused by overexpression of plasminogen activator inhibitor 1 and thrombin activated fibrinolysis inhibitor. Method(s): An automated thromboelastogram was used to perform TEG on 28 COVID-19 patients. Based on TEG parameters such as R-time, K-time, alpha angle, maximum amplitude (MA), and clotting index (CI), the hemostatic state was classified as hypercoagulable in 17 (63 percent), hypocoagulable in 2 (7 percent), or normal in 8 (30 percent) patients. Result(s): Twenty-seven patients were included, with a median age of 50 years (IQR 40-60 years) and a male to female ratio of 0.9:1. COVID-19 was mild in 6 (22.2%), moderate in 2 (7.4%), and severe in 19 (70.4%) patients. Fibrinolytic shutdown was detected in 4 (15%) patients. TEG analysis revealed that they were hypercoagulable. All four patients showed high D-dimer levels and a LY-30 of 0%, as well as decreased K-time and increased alpha angle or MA. Conclusion(s): Despite thromboprophylaxis, hypercoagulable states and severe inflammatory states are prevalent in COVID-19 patients. Patients with hypocoagulable and hypercoagulable conditions had greater 28-day mortality than those with normal coagulation. (Log-rank test, P=0.002). Only two of the four patients who had their fibrinolytic systems turned down survived. These patients had no clinically evident thrombosis.
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Introduction: Improper waste management has a negative impact on the health of medical professionals, sanitary staff, general public and the environment in general. Objective(s): To assess the Knowledge and Practice regarding COVID-19 biomedical waste management (BMWM) among healthcare workers (HCW) of government health facilities of rural Ghaziabad. Methodology: A cross-sectional study was conducted to assess the knowledge and practices regarding Bio-Medical waste, in rural blocks of the district Ghaziabad at C.H.C, P.H.C and Sub-centres. Health care worker (HCW) like Doctor, Nursing Staff, Laboratory technician and Sanitary staff working in the Health care facilities were selected for the Study. A total number of 122 HCW were selected, which included 27 Doctors, 75 Nurse, 06 Lab technician and 14 sanitary staff, using Proportional allocation scheme respectively. Result(s): The Knowledge regarding Biomedical waste management of COVID-19 was 62.2% and practice was 50.8% among the HCW. Multinomial regression between socio-demographic features of HCW and their practice regarding COVID-19 Biomedical waste revealed that the practice was three times better 3.859 (1.378-10.811) in graduate and four times 4.062 (1.030-16.024) in post graduate than diploma holders. Doctors had three time better 3.595 (1.304-9.908) practice of COVID-19 biomedical waste management than nurses. Similarly, the CHC's COVID 19 biomedical waste management practices were more than four time 4.440 (1.482-13.974) better than sub centers. Conclusion(s): Level of knowledge and practice scores were unsatisfactory. Healthcare facilities should provide periodic training and adequate supplies for the waste handlers. Copyright © 2022 Wolters Kluwer Medknow Publications. All rights reserved.
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Health is an essential issue in all countries. It has further come into limelight on account of covid pandemic. Under the global impact of Covid pandemic public investment in health care is in the centre stage of discussion in recent past. This empirical study has attempted to understand the impact of public health care system under Government investment through the model of Fair price shop (FPS) situated in the government hospitals in West Bengal. Catastrophic Health Expenditure (CHE) has further augmented the burden of income in the most of the house hold ion India under the deadliest impact of Covid. This study has found the Public-private-partnership (PPP) model is the robust application in reducing the burden of the lower-level income group in terms of health-related expenditure. Accessibility of medical care has created an substantial impact on middle class and lower middle class people in West Bengal with the introduction of Fare Price Shop (FPS) initiated by Government of West Bengal. This empirical research has proposed a model to makes health care more accessible among mass section of beneficiaries in order to makes a social inclusion for health care. Copyright © 2022 Wolters Kluwer Medknow Publications. All rights reserved.
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Background: COVID-19 pandemic started in India on 30th January 2020. A nationwide lockdown was enforced from 24th March onwards, and most citizens were confined to their homes causing many psychosocial problems. Objective(s): To find the prevalence of depression and its associated factors during COVID-19 pandemic. Method(s): A community based crosssectional study, conducted among the adult population of urban Ghaziabad, Uttar Pradesh, India. Information was collected using a predesigned questionnaire with a sample size of 396 consenting individuals. Result(s): Of the 396 participants, 99 (25%) had depression;with mild, moderate, and severe depression found in 20.45%, 3.53% and 1% individuals, respectively. Females were affected more than males (32.1% vs 18.2%). Prevalence of depression was 50% among individuals living alone, 34.7% among unemployed people, and 30% among individuals whose income was reduced during the lockdown period. Individuals who were quarantined due to positive/suspected COVID-19 infection had a 45.5% prevalence of depression. Individuals who were divorced or separated, had an increased prevalence of depression [OR 9.2, (95% CI 1.2-73.7)]. People who practiced meditation during the lockdown period had lesser prevalence of depression [OR 2.87, (95% CI 1.1-7.7)] than those who did not. Conclusion(s): The COVID-19 pandemic has had a major psycho-social impact on people. The findings from this study can help identify vulnerable individuals and prevent and/or reduce the morbidity of depression in future, both in India and other parts of the world. Copyright © 2022 Wolters Kluwer Medknow Publications. All rights reserved.
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Introduction: Coronavirus disease 2019 (COVID-19) causes abnormalities in the hemostatic system, which are referred to as COVIDassociated coagulopathy. Whole blood viscoelastic studies, such as thromboelastography (TEG), are the best way to determine the dynamics of clot formation. The hypercoagulable state seen in COVID-19 patients is aggravated by a severe state of ''fibrinolysis shutdown,'' which is caused by overexpression of plasminogen activator inhibitor 1 and thrombin activated fibrinolysis inhibitor. Aims & Objectives: We aimed to study the coagulation pattern in COVID-19 patients on TEG and explored the predictors of outcomes in our patients. Material(s) and Method(s): An automated thromboelastogram was used to perform TEG on 28 COVID-19 patients. Based on TEG parameters such as R-time, K-time, alpha angle, maximum amplitude (MA), and clotting index (CI), the hemostatic state was classified as hypercoagulable in 17 (63 percent), hypocoagulable in 2 (7 percent), or normal in 8 (30 percent) patients. Result(s): Twenty-seven patients were included, with a median age of 50 years (IQR 40-60 years) and a male to female ratio of 0.9:1. COVID-19 was mild in 6 (22.2%), moderate in 2 (7.4%), and severe in 19 (70.4%) patients. Fibrinolytic shutdown was detected in 4 (15%) patients. TEG analysis revealed that they were hypercoagulable. All four patients showed high D-dimer levels and a LY-30 of 0%, as well as decreased K-time and increased alpha angle or MA. Conclusion(s): Despite thromboprophylaxis, hypercoagulable states and severe inflammatory states are prevalent in COVID-19 patients. Patients with hypocoagulable and hypercoagulable conditions had greater 28-day mortality than those with normal coagulation. (Logrank test, P = 0.002). Only two of the four patients who had their fibrinolytic systems turned down survived. These patients had no clinically evident thrombosis.
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Background: COVID-19 pandemic started in India on 30th January 2020. A nationwide lockdown was enforced from 24th March onwards, and most citizens were confined to their homes causing many psychosocial problems. Objective(s): To find the prevalence of depression and its associated factors during COVID-19 pandemic. Method(s): A community based cross-sectional study, conducted among the adult population of urban Ghaziabad, Uttar Pradesh, India. Information was collected using a predesigned questionnaire with a sample size of 396 consenting individuals. Result(s): Of the 396 participants, 99 (25%) had depression;with mild, moderate, and severe depression found in 20.45%, 3.53% and 1% individuals, respectively. Females were affected more than males (32.1% vs 18.2%). Prevalence of depression was 50% among individuals living alone, 34.7% among unemployed people, and 30% among individuals whose income was reduced during the lockdown period. Individuals who were quarantined due to positive/suspected COVID-19 infection had a 45.5% prevalence of depression. Individuals who were divorced or separated, had an increased prevalence of depression [OR 9.2, (95% CI 1.2-73.7)]. People who practiced meditation during the lockdown period had lesser prevalence of depression [OR 2.87, (95% CI 1.1-7.7)] than those who did not. Conclusion(s): The COVID-19 pandemic has had a major psycho-social impact on people. The findings from this study can help identify vulnerable individuals and prevent and/or reduce the morbidity of depression in future, both in India and other parts of the world. Copyright © 2022, Anka Publishers. All rights reserved.
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Background: We recently reported that in United States, 388 organs from SARSCoV- 2 nucleic acid test (NAT) positive 150 donors were procured between Aug 2020 to Sep 2021. Nearly 1 million deaths have been attributed to SARS-CoV-2 pandemic however only selected group of donor organs were assessed for transplantation. Even after procurement, 28% (of 388) organs were discarded. For kidney transplants (KT), commonest reason for relatively high-quality organ discards (35%) was 'exhaustion of wait list', indicating reluctance to accept these organs. Method(s): We investigated potential risk of donor transmission of SARS-CoV-2 by a prospective study including 23 KT recipients with prior SARS-CoV-2 vaccination. Donor serum and pre-implantation kidney biopsy tissue were assessed for detection of SARSCoV- 2 via a validated commercially available real-time reverse transcription polymerase chain reaction (RT-PCR) (threshold 73 copies/mL). All recipients had SARS-CoV-2 RTPCR on plasma and nasopharyngeal swab at Day-7 post-KT. Result(s): A total of 23 KT were performed from 22 SARS-CoV-2 NAT positive donors between Nov 2021 and Feb 2022. All 22-donor serum samples and 23 procurement biopsies were negative for SARS-CoV-2, including those from 8 donors with symptomatic disease. Six (of 22 donors;27%) had death attributable to SARS-CoV-2 complications. Three recipients with asymptomatic donors were diagnosed with clinical SARS-CoV-2 disease at 10, 14, and 23 days post-KT during 4th pandemic surge. Both graft and patient survival rate was 100% at a median 3 month followup. Collation with national 'Organ Procurement and Transplant Network' registry showed that majority of other organs from these donors were not procured [zero pancreata, zero lungs, 11 (50%) livers, 19 (86%) hearts]. Among 42 KT [55% (23/42) performed at our center], 10 transplanted livers, and 3 hearts;no graft loss or death was reported. Conclusion(s): In this single-center study we report an absence of detectable SARSCoV- 2 virus in donor kidney tissue and plasma from SARS-CoV-2 positive donors.and absence of recipient viremia and nasopharyngeal detectable virus immediately after KT indicating a lack of donor transmission. Our results of excellent graft and patient survival favor utilization of SARS-CoV-2 infected donors.
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The COVID-19 Pandemic has greatly influenced waste management sector due to large-scale patient care, diagnosis, treatment and isolation. COVID-19 waste could comprise of both municipal waste as well as bio-medical waste depending on the source of its generation. Such waste could be potentially infected with the virus. If not managed and treated scientifically, the risk of secondary transmission of the virus increases. The existing waste management systems are not designed to handle such surge of waste and therefore, safe handling and disposal of such waste is viewed as one of the biggest challenges. There could be multiple sources of COVID-19 waste, which includes hospitals, COVID-19 wards, testing centers, laboratories, home quarantine, temporary medical establishments, ambulances, graveyards and commercial establishments. Guidelines and procedures for management of the COVID-19 waste have been prescribed by WHO and by governments by countries across the globe. Selection of appropriate technology to treat and dispose potentially infectious COVID-19 waste is critical but depends on economic, environmental and social factors of a country or region. Looking at the quantum of waste that would be generated from the used PPEs, it is quite apparent that the existing waste management systems are going to be overburdened. The pandemic is also going to adversely impact the waste recycling sector, including the informal sector. To minimize the risk of transmission of the virus through sewage, proper treatment followed by disinfection is necessary. An ideal waste management policy during this pandemic should safely tackle the waste generated such that there are no chances of transmission due to the waste, ensure that the waste causes least possible damage to the environment, and strive to achieve sustainable development goals (SDGs) and other international obligations. © 2022 Elsevier Inc. All rights reserved.
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Introduction: Early detection of COVID-19-associated mucormycosis (CAM) is critical for accurate staging and optimal treatment. Three-dimensional computed tomography (3D CT) reconstruction of the face has recently come up as a newer diagnostic tool in CAM. Method(s): This clinical study was done to evaluate the efficacy of 3D CT in diagnosing and managing CAM. We compared 3D CT reconstruction with conventional 2D CT. One hundred twenty-three confirmed cases of mucor were subjected to 3D CT reconstruction in addition to contrastenhanced magnetic resonance imaging after comprehensive clinical workup. The involvement of maxillary walls, alveolus, palate, orbital floor, zygomatic process, and other facial skeleton were noted. The plan of management was decided after assessing the extent in 3D CT. Result(s): Anterior maxillary wall was found to be the commonly involved (9.7%). Involvement of the lateral maxillary wall was noted in 8.1% of subjects. Sixty-seven subjects underwent endoscopic endonasal debridement, 19 underwent total maxillectomy, 3 had infrastructure maxillectomy, 8 had orbital exenteration, and 12 had combined endoscopic and open surgeries. In 21 patients (17%), open surgery was done based on additional 3D CT findings at the first instance and revision surgeries were avoided. Conclusion(s): 3D CT face was found to be superior to conventional CT in diagnosing the extent of disease and plays an important role in preoperative surgical planning of CAM. Minor cortex erosions are not picked up by conventional CT;it also does not show finer details and leaves the surgeon imagining the disease extent. 3D CT decreases delay in diagnosis, facilitates the surgical plan, and reduces the need for multiple surgeries. It is a valuable tool in the assessment of revision cases and follow-up.
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Purpose: Data shows COVID vaccine response after 2 doses in patients on Belatacept immunosuppression (IS) is low, with reported rates of seroconversion (as measured by COVID spike IgG antibody (IgG Ab) detection) of <10%. It is suggested that T cell immunity provides more nuanced marker of immunity. We seek to describe immune response with third dose of vaccine using T cell immunity and spike Ab as surrogate markers. Method(s): 12 kidney transplant patients on long term belatacept maintenance therapy were included. All patients received induction rabbit anti thymocyte globulin at transplant and were maintained on triple IS with mycophenolate and steroids. All patients received 3 doses of the Pfizer BioNTech SARS CoV2 mRNA vaccine. IgG Ab and T cell immunity response were monitored after 2 doses of vaccine, on the date of 3rd dose with repeat testing done about 4 weeks after 3rd dose. Due to small sample size, T cell response detection was treated qualitatively as "detected" and "negative" results based upon manufacturer instructions (Eurofins Viracor). IgG Ab response was treated qualitatively as "detected" and "negative", as many responses were too low to be reliably quantifiable. Result(s): Of the 12 included patients, 58% were female, 50% were African American, at mean of 77 months post transplant. After 2 vaccine doses, immunity was detected using the T cell based assay in 6/12 [50.0%, 95% CI: (21.1%-78.9%)];after 3 doses, T cell immunity detection remained the same (6/12). After 2 doses, IgG was detected in 2/12 patients [16.7%, 95% CI: (2.1%-48.4%)]. After 3 doses, this rate doubled to 4/12 [33.3%, 95% CI: (9.9%-65.1%)]. All IgG Ab detected patients were within the T Cell detected patients. There were statistically significant differences between patients that showed a response vs those that did not although patients with no response had been on a numerically higher duration of belatacept (mean=56 months) vs those with any response (mean=34 months;p=0.23). No patients developed a COVID 19 infection during the study period. Conclusion(s): In this cohort, T cell response identified a bigger subset of patients with vaccine response with 2 mRNA vaccine doses compared with those identified with an IgG response only. However, both T cell immunity and IgG Ab response remained low after 2 or 3 doses, and no patient in in the 2 dose group developed new T cell immunity response after third vaccination. IgG Ab response increased in half of the patients, but these were patients who already had developed a T cell immune response after second dose of vaccine. Total change in COVID spike IgG response after the third dose was up to 33% from an initial 16%, which may demonstrate improved total response to 3 doses. Further research is needed to assess if response rates improve with additional (fourth) doses of COVID vaccine or 'mix and match' strategies.
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Purpose: Expansion of the donor pool remains a major unmet need for solid organ transplants (SOT). Early data suggests that at least some severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) (COVID) nucleic acid test positive (NAT+) organs could be transplanted safely although there is substantial controversy about this topic. Method(s): A retrospective analysis of the national United States Organ Procurement and Transplantation Network database was performed, demonstrating initial experience with COVID NAT+ deceased donor organs with a focus on kidney transplants, from August 8, 2020, to Sep 29, 2021. Result(s): During this time period, 17,143 COVID NAT negative (NAT-) deceased donors and 150 COVID NAT+ deceased donors were assessed for organ donation (Figure 1) (Table 1). When compared to COVID NAT- donors, there was a higher (p<0.001 for all) non-recovery rate for COVID NAT+ hearts (35% vs 87%), lungs (71% vs 99%), livers (24% vs 53%), and pancreas (89% vs 98 %). Of a total of 385 recovered organs from 150 COVID NAT+ donors, 276 (72%) organs were transplanted into 262 recipients. Majority of donors had a COVID NAT+ <=7 days prior to procurement (94;62.7%). While only a minority of pancreases, hearts, lungs, and livers were procured, almost all were transplanted post-procurement. In contrast, there was a high discard rate for kidneys post-procurement (102/295;34.6%) with the most common reason (~70%) for discards being 'exhaustion of the wait list'. Presumably superior quality COVID NAT+ kidneys were discarded compared with COVID NAT- kidneys (mean KDPI: 67% vs 76%;p=0.04). Limited outcome data was available with a median post-transplant follow-up of 75 days (range: 23-243 days). Three kidney allograft losses (2 due to allograft thrombosis) and five deaths (2 kidneys, 3 livers) were reported, of which, one was due to respiratory failure and one due to sepsis. Conclusion(s): These data provide early reassuring evidence on the utilization of non-lung COVID NAT+ organs. However, a substantially lower procurement rate for non-kidney transplantable organs and a high discard rate for kidneys were noted. (Table Presented).
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Background and aims: We present a study on the earliest cohort of patients infected with the SARS-CoV-2 virus who were admitted to the All India Institute of Medical Sciences (AIIMS), New Delhi. The primary objective of the study was to find the difference in the rate of intensive care unit (ICU) admission with coronavirus disease 2019 (COVID-19) in patients based on BCG vaccination status. The secondary objective was to assess risk factors for ICU admission and clinical course of patients with COVID-19.
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Background The mechanisms and outcomes in COVID-19- associated stroke are unique from those of non-COVID-19 stroke. Objectives The purpose of this study is to describe the efficacy and outcomes of acute revascularization of large vessel occlusion (LVO) in the setting of COVID-19 in an international cohort. Methods We conducted an international multicenter retrospective study of consecutively admitted COVID-19 patients with concomitant acute large vessel occlusion (LVO) across 50 comprehensive stroke centers. Our control group constituted historical controls of patients presenting with LVO and receiving a MT between January 2018 to December 2020.Results: The total cohort was 575 patients with acute LVO, 194 had COVID-19 while 381 patients did not. Patients in the COVID-19 group were younger (62.5 vs. 71.2;p<0.001), and lacked vascular risk factors (49, 25.3% vs. 54, 14.2%;p =0.001). mTICI 3 revascularization was less common in the COVID-19 group (74, 39.2% vs. 252, 67.2%;p < 0.001). Poor functional outcome at discharge (defined as mRS 3-6) was more common in the COVID-19 group (150, 79.8% vs.132, 66.7%;p =0.004). COVID-19 was independently associated with a lower likelihood of achieving mTICI 3 (OR: 0.4, 95% CI: 0.2 -0.7;p<0.001), and unfavorable outcomes (OR: 2.5, 95% CI: 1.4 - 4.5;p=0.002). Conclusion COVID-19 was an independent predictor of incomplete revascularization and poor outcomes in patients with stroke due to LVO. COVID-19 patients with LVO patients were younger, had fewer cerebrovascular risk factors, and suffered from higher morbidity/mortality rates. (Figure Presented).