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1.
Ieee Access ; 11:30639-30689, 2023.
Article in English | Web of Science | ID: covidwho-2323431

ABSTRACT

Touch-enabled sensation and actuation are expected to be the most promising, straightforward, and important uses of the B5G/6G communication networks. In light of the next generation (6G) systems' prerequisite for low latency, the infrastructure should be reconfigurable, intelligent, and interoperable in the real-time existing wireless network. It has a drastic impact on society due to its high precision, accuracy, reliability, and efficiency, combined with the ability to connect a user from remote areas. Hence, the touch-enabled interaction is primarily concerned with the real-time transmission of tactile-based haptic information over the internet, in addition to the usual audio, visual, and data traffic, thus enabling a paradigm shift towards a real-time control and steering communication system. The existing system latency and overhead often have delays and limitations on the application's usability. In light of the aforementioned concerns, the study proposes an intelligent touch-enabled system for B5G/6G and an IoT-based wireless communication network, incorporating AR/VR technologies. The tactile internet and network-slicing serve as the backbone of touch technology and incorporates intelligence from techniques such as artificial intelligence and machine/deep learning. The survey also introduces a layered and interfacing architecture with its E2E solution for the intelligent touch-based wireless communication system. It is anticipated for the upcoming 6G system to provide numerous opportunities for various sectors to utilize AR/VR technology in robotics and healthcare facilities to help in addressing several problems faced by society. Conclusively the article presents a few use cases concerning the deployment of touch infrastructure in automation, robotics, and intelligent healthcare systems, assisting in the diagnosis and treatment of the prevailing Covid-19 cases. The paper concludes with some considerable future research aspects of the proposed system with a few ongoing projects concerning the development and incorporation of the 6G wireless communication system.

2.
International Journal on Semantic Web and Information Systems ; 18(1), 2022.
Article in English | Scopus | ID: covidwho-2273684

ABSTRACT

These days the online social network has become a huge source of data. People are actively sharing information on these platforms. The data on online social networks can be misinformation, information, and disinformation. Because online social networks have become an important part of our lives, the information on online social networks makes a great impact on us. Here a differential epidemic model for information, misinformation, and disinformation on online social networks is proposed. The expression for basic reproduction number has been developed. Again, the stability condition for the system at both infection-free and endemic equilibriums points has been discussed. The numerical simulation has been performed to validate the theoretical results. Data available on Twitter related to COVID-19 vaccination is used to perform the experiment. Finally, the authors discuss the control strategy to minimize the misinformation and disinformation related to vaccination. © 2022 Authors. All rights reserved.

3.
19th IEEE India Council International Conference, INDICON 2022 ; 2022.
Article in English | Scopus | ID: covidwho-2256706

ABSTRACT

COVID-19 has proved to be a global emergency that has fractured the healthcare systems to the extent that its impact is too challenging to encompass. Though many Computer-Aided Diagnoses (CAD) systems have been developed for automatic detection of COVID-19 from Chest X-rays and chest CT images, very few works have been done on detecting COVID-19 from a clinical dataset. Resources needed for obtaining Clinical data like blood pressure, liver disease, past traveling history, etc., are inexpensive compared to collecting Chest CT images for COVID-19 infected patients. We propose a novel multi-model dataset for the survival prediction of patients infected with COVID-19. The dataset proposed is collected and created at Mahatma Gandhi Memorial Medical College, Indore. The dataset contains clinical data and chest X-ray images obtained from the same patient infected with COVID-19. For proper prognosis of the COVID19 positive patients from the clinical dataset, we have proposed a Bi-Stream Gated Attention-based CNN (BSGA-CNN) model. The BSGA-CNN model achieved an accuracy of 96.90% (± 3.05%). A CNN based on pre-trained VGG-Net is used to classify the corresponding Chest X-Ray images. It gave an accuracy of 87.76% (± 8.78%)%. © 2022 IEEE.

4.
Research on Biomedical Engineering ; 2023.
Article in English | Scopus | ID: covidwho-2240174

ABSTRACT

Purpose: COVID-19 is not going anywhere and is slowly becoming a part of our life. The World Health Organization declared it a pandemic in 2020, and it has affected all of us in many ways. Several deep learning techniques have been developed to detect COVID-19 from Chest X-Ray images. COVID-19 infection severity scoring can aid in establishing the optimum course of treatment and care for a positive patient, as all COVID-19 positive patients do not require special medical attention. Still, very few works are reported to estimate the severity of the disease from the Chest X-Ray images. The unavailability of the large-scale dataset might be a reason. Methods: We aim to propose CoVSeverity-Net, a deep learning-based architecture for predicting the severity of COVID-19 from Chest X-ray images. CoVSeverity-Net is trained on a public COVID-19 dataset, curated by experienced radiologists for severity estimation. For that, a large publicly available dataset is collected and divided into three levels of severity, namely Mild, Moderate, and Severe. Results: An accuracy of 85.71% is reported. Conducting 5-fold cross-validation, we have obtained an accuracy of 87.82 ± 6.25%. Similarly, conducting 10-fold cross-validation we obtained accuracy of 91.26 ± 3.42. The results were better when compared with other state-of-the-art architectures. Conclusion: We strongly believe that this study has a high chance of reducing the workload of overworked front-line radiologists, speeding up patient diagnosis and treatment, and easing pandemic control. Future work would be to train a novel deep learning-based architecture on a larger dataset for severity estimation. © 2023, The Author(s), under exclusive licence to The Brazilian Society of Biomedical Engineering.

5.
Ieee Access ; 10:116402-116424, 2022.
Article in English | Web of Science | ID: covidwho-2123156

ABSTRACT

There has been a gigantic stir in the world's healthcare sector for the past couple of years with the advent of the Covid-19 pandemic. The healthcare system has suffered a major setback and, with the lack of doctors, nurses, and healthcare facilities the need for an intelligent healthcare system has come to the fore more than ever before. Smart healthcare technologies and AI/ML algorithms provide encouraging and favorable solutions to the healthcare sector's challenges. An Intelligent Human-Machine Interactive system is the need of the hour. This paper proposes a novel architecture for an Intelligent and Interactive Healthcare System that incorporates edge/fog/cloud computing techniques and focuses on Speech Recognition and its extensive application in an interactive system. The focal reason for using speech in the healthcare sector is that it is easily available and can easily predict any physical or psychological discomfort. Simply put, human speech is the most natural form of communication. The Hidden Markov Model is applied to process the proposed approach as using the probabilistic approach is more realistic for prediction purposes. Ongoing projects and directions for future work along with challenges/issues are also addressed.

6.
11th IEEE International Conference on Communication Systems and Network Technologies, CSNT 2022 ; : 253-256, 2022.
Article in English | Scopus | ID: covidwho-1922606

ABSTRACT

With the advent of the COVID-19 pandemic, the health care system has suffered a tremendous setback, especially in developing countries. Q Learning is a leading and widely used Reinforcement Learning scheme. Q-Learning can be applied to a variety of real-time applications. This paper proposes a health care system based on the Q learning algorithm and its implementation for a set of targeted nodes. The proposed system consists of 4 phases, front-end system, RRH, BBU pool, and computing. Each phase consists of different network components that are considered nodes. We have different rewards for nodes and pathways. The AI agent will continue to change its approach for future actions. © 2022 IEEE.

7.
ACS Applied Nano Materials ; 2022.
Article in English | Scopus | ID: covidwho-1900421

ABSTRACT

2D transition metal dichalcogenides have performed exceptionally as the active layer for chemiresistive gas sensors. Combining these materials with semiconductor oxides of tunable properties has proved to improve gas sensing and overall device performance due to the synergizing effect of the hybrid nanostructures. In this manuscript, we report the synthesis of a Co3O4/MoS2 nanostructure-based highly sensitive chemiresistive gas sensor selective toward NOx gases. An increase in air pollution has caused an equal increase in the concentrations of toxic NOx gases in the atmosphere. Exposure to these gases leads to grave health hazards such as pulmonary diseases and cardiovascular diseases. Furthermore, recent studies prove that NOx gases are also a contributor to COVID-19 fatality. We investigated the effect of the change in precursor concentration of cobalt nitrate (CoN2O6) and temperature on the gas sensor response. The precursor concentration was varied over an increasing range of molarities (1, 5, 10, and 25 mM), and it was observed that the gas sensor with a precursor concentration of 25 mM and an operating temperature of 200 °C exhibited the highest response of 145.7% toward NO2 gas (4.3 ppm) and then 105.37% toward NO (2.75 ppm). It was also noted that the device responded to NO2 gas of concentration as low as 300 ppb. This device was then subjected to an increasing range of temperatures (50, 100, 150, 200, 250, and 300 °C). A clear increase in the device performance was observed with an increase in temperature. It was found that the gas sensor was the most sensitive toward NO2 gas (4.3 ppm) and exhibited a response of 186.2% at 250 °C followed by NO (2.75 ppm) with a response of 141.6%. A stable and excellent response toward a low concentration of 50 ppb of NO2 was observed. Two activation energies (Ea) were calculated from the Arrhenius plot Ea1 (0.846 eV) between 150 and 200 °C and Ea2 (1.316 eV) between 200 and 250 °C, indicating multiple energy trapping. These results pave a way for a plausible application of Co3O4/MoS2 hybrid nanostructures for the detection and monitoring of NOx gases in the air. ©

8.
1st International Conference on Technologies for Smart Green Connected Society 2021, ICTSGS 2021 ; 107:17135-17141, 2022.
Article in English | Scopus | ID: covidwho-1874876

ABSTRACT

BACKGROUND: At the end of 2019, a new disease was identified in Wuhan, China. A new type of corona virus was identified to be responsible for this illness, which was caused by a novel type of corona virus and affected nearly the entire planet. 2019-nCov, or Wuhan-corona virus, is the name given to this new virus by Chinese researchers. When working with the media, the World Health Organization refers to it as the COVID-19 virus to avoid confusion. COVID-19 is a brand-new product both globally and in India. People's minds have been thrown off by this. In Indian society, there are different rumors regarding the corona virus that induce panic in people's minds. In humans it causes respiratory tract infections which can be mild or lethal. Include mild infections like common cold, headache, running nose etc. In pigs and cows, it causes diarrhea. © The Electrochemical Society

9.
Natural Volatiles & Essential Oils ; 8(5):1220-1226, 2021.
Article in English | GIM | ID: covidwho-1812912

ABSTRACT

The world of learning has undergone many new impact changes that have been caused due the pandemic raised owing to Covid-19. The overall of structure of education system and learning, which also includes the teaching and assessment methodologies involved in the Medical education, was the first among much other system that was affected by these closures. Higher Education system in the country has a critical claim on its economical future, as a result of the pandemic that has been significantly disturbed. Due to this effective disturbance the aged old, backboard teaching, classroom teaching techniques have driven over the technological interference. Shift of the tec njhnology has created many new windows and also arise many practical difficulties, which also includes the e-learning solutions and tackling of technologies. The article aims to find the perceived barrier in e-learning faced by undergraduate physiotherapy students throughout the Covid-19 pandemic. The aim was achieved by performing a structured interview of 150 college students those who are now attending offline, physical attendance lecture of the Physiotherapy College. The data collected qualitatively and the results were analyzed. The content analysis method was used to determine the perceived barrier faced by the students. Analysis of the data highlighted the lack of Practical and practice sessions, the inability of a live demonstration, disturbances from the home environment, improper internet connectivity, and lack of communication between teachers and students were the potential barrier in e-learning. While achieving the aim of the article the positive impact of e-learning was also emerging from the interview of the students that was also documented and can be justified by its use in further studies.

10.
IEEE Access ; 2022.
Article in English | Scopus | ID: covidwho-1706122

ABSTRACT

Touch enabled sensation and actuation is expected to be one of the most promising, straightforward and important uses of the next generation communication networks. In light of the next generation (B5G/6G) system’s need for low latency, the infrastructure should be reconfigurable and intelligent in order to be able to work in real time and interoperable with the existing wireless network. It has a drastic impact on the society due to its high precision, accuracy, reliability and efficiency as well as the ability to connect a user from far away or remote areas. Such a touch-enabled interaction is primarily concerned with the real time transmission of the tactile based haptic information over the internet, in addition to the usual audio, visual and data traffic, thus enabling a paradigm shift towards establishing a real time control and steering communication system. Due to the existing system’s latency and overhead, it creates delays and limits the usability of the future applications. In light of the aforementioned concerns, this study proposes an intelligent touch-enabled system for B5G/6G and IoT based wireless communication network that incorporates the AR/VR technologies. The tactile internet and network slicing serve as the backbone of the touch technology which incorporates intelligence from techniques such as artificial intelligence and machine/deep learning. The survey also introduces a layered and interfacing architecture complete with its E2E solution for the intelligent touch based wireless communication system. It is anticipated for the next generation system to provide numerous opportunities for various sectors utilizing AR/VR technology in robotics and healthcare facilities, all with the intension of helping in addressing severe problems faced by the society. Conclusively the article presents a few use cases concerning the deployment of touch infrastructure in automation and robotics as well as in intelligent healthcare systems, assisting in the diagnosis and treatment of the prevailing covid-19 cases. The paper concludes with some considerable future research aspects of the proposed system with few of the ongoing projects pertaining to the development in the incorporation of the next generation (6G) system. Author

11.
Journal of Pharmaceutical Research International ; 33(58B):154-159, 2021.
Article in English | Web of Science | ID: covidwho-1627196

ABSTRACT

Organic food products are gaining popularity and are widely accepted by the consumers all over the world. As they are grown and processed without the use of chemicals, consumers feel that it is safe for consumption and does not have any health hazards. The ongoing pandemic situation, COVID-19 has also given a momentum to the acceptance level of these products, as producers are marketing their products with a tag, 'immunity booster'. This study was an effort to identify and validate the dimensions influencing organic food purchase by the consumers. Questionnaire having 45 questions was developed and administered to 750 respondents. Exploratory factor analysis was applied to explore the factors determining organic food purchase. Exploratory factor analysis yielded five-factor structure. Confirmatory factor analysis was used to verify and confirm, the five-factor structure. Multiple Regression Analysis was applied to identify the most prominent factor, which influenced the customer to make the purchase.

12.
Bioscience Biotechnology Research Communications ; 14(6):267-270, 2021.
Article in English | Web of Science | ID: covidwho-1468927

ABSTRACT

Corona viruses are a wide group of pathogens that affect both humans and animals. It spreads in humans by human-to-human interaction, as seen with MERS and SARS. Close contact allows the virus to spread by droplets from coughs, sneezes, and conversations. The incubation period varies from 2 to 14 days, and it is still unknown in many cases. Mild symptoms such as sore throat, headache, cough, and malaise are treated with antipyretics and antitussives, as well as nutritive treatment, depending on the symptoms.Oxygen therapy, anticoagulation, and corticosteroids are given with antiviral drugs for mild symptoms. The demand for supply must be maintained. In extreme cases, drug treatment should be continued and oxygenation maintained early in the disease;but, as the disease progresses to ARDS, a non-invasive technique providing oxygen via a mask or nasal cannula and preserving SpO2 and FiO2 is used first. If the condition worsens to the point that the Lung no longer functions, a compliant endotracheal intubation is performed in order to administer artificial ventilation in an environment where expertise is available. Patients with septic shock are started on antimicrobial treatment, fluid loadings are maintained, and vasopressors are administered. Glucocorticoids can be used for a limited time to treat a patient's deteriorating condition. Airway Management of COVID19 and LowCost Ventilators-aboonor bane? As a result, disease prevention at the earliest stage is considered a condemnatory measure. However, one must be prepared for any mishaps in the manifestation of disease as it progresses to complication. Invasive procedures such as mechanical ventilation and non-invasive procedures such as nasal cannula oxygenation must be used successfully, depending on the patient's capacity for reaction to the care offered. Given the unpredictability of the future in relation to the disease, it would be advantageous if the country were to be equipped in advance with manufactured low-cost ventilators.

13.
J. Pharm. Res. Int. ; 33(44B):242-252, 2021.
Article in English | Web of Science | ID: covidwho-1458894

ABSTRACT

SARS-CoV-2, also known as COVID-19, is a novel coronavirus that has spread from Wuhan, China to every continent except Antarctica. On March 11, 2020, the World Health Organization (WHO) changed the situation's classification from a public health emergency of international concern to a pandemic. To date (17 April 2021), the novel coronavirus - officially known as "severe acute respiratory syndrome coronavirus 2," or SARS-CoV-2 for short - has caused over 140 Million infections and approximately 3 Million deaths around the world. In INDIA, the virus has infected nearly 14.3 Million people, with nearly 1,74,000 of them dying. (April 17, 2021) We have conducted a literature search around pub Med, Medline, Scopus, WHO, and web of science to distinguish the effect of myth vs. truth about COVID 19. Present study concludes Citizens' consciousness and the avoidance of misconceptions play a critical role in managing the pandemic, and as a result of this awareness, India's fatality rate is at 3.3 percent, with a recovery rate of 12.02 percent, according to the Health Ministry of India. The extraordinary effort to attain widespread vaccination coverage has been greeted with an assault of incorrect and misleading information. Misinformation has the potential to harm vaccination uptake. Debunking misleading claims is a prominent way of combating vaccination misinformation. As a result, dealing with COVID-19 vaccination disinformation involves proactive measures to "immunise the public against misinformation."

14.
Methods Pharmacol. Toxicol.. ; : 135-162, 2021.
Article in English | EMBASE | ID: covidwho-1361279

ABSTRACT

Coronaviruses are single-stranded positive-sense RNA viruses possessing unique replication machinery, which consists of non-structural proteins (nsp1–16), structural proteins (S, E, M, N), and several accessory proteins. The non-structural proteins carry out activities critical for viral functions, and the structural proteins play a significant role in viral assembly and structure. The zoonotic nature of coronaviruses is responsible for the past epidemics and the current pandemic. The current global pandemic of COVID-19 caused by SARS-CoV-2 has caused infections worldwide and now crossed over a million fatalities. The high transmission rate of the virus has caused new cases emerging every day. While vaccines remain an ideal solution, it is also important to identify alternative potential small molecules and other inhibitors against molecular targets of SARS-CoV-2. The present chapter describes the current scenario of the world facing the COVID-19 pandemic and details the molecular machinery of the causative agent, i.e., SARS-CoV-2. It discusses the role of drug repurposing against SARS-CoV-2 and explains its methodology. It aims to provide an overview toward coronaviruses and the role and method of drug repurposing against crucial viral targets (here, 3CLpro as a case study) to create a report of current computational drug discovery approaches coherently.

15.
Methods Pharmacol. Toxicol.. ; : 117-134, 2021.
Article in English | EMBASE | ID: covidwho-1361276

ABSTRACT

The current COVID-19 pandemic caused by SARS-CoV-2 has now seen an unprecedented global trend of viral transmission leading to over a million fatalities worldwide. SARS-CoV-2 is a betacoronavirus which possesses a single-stranded positive-sense RNA genome that encodes various structural, non-structural, and accessory proteins. Due to the zoonotic nature of SARS-CoV-2 and current transmission trend, scientists must identify effective therapeutics against the virus. Ligand-based drug designing is a computational approach based on the principle that similar compounds exhibit similar activities;hence, it is employed to identify, screen, or design drug-like molecules based on the existing drug molecules. The present chapter provides an overview of SARS-CoV-2, COVID-19, viral drug targets and dives deeply into the computational approach of ligand-based drug designing (LBDD). The chapter aims to provide a detailed methodology of LBDD and the current research endeavors that have utilized the technique to identify, screen, or design potential drug molecules against SARS-CoV-2.

16.
Journal of Pharmaceutical Research International ; 33(39B):1-4, 2021.
Article in English | Web of Science | ID: covidwho-1352934

ABSTRACT

Corona viruses ( CoVs) are well-covered RNA viruses that cause enteric and respiratory infections in humans and animals. Many human CoVs have recently gained global interest because of their lethal power and high contagious power. SARS-CoV- 2, or COVID- 19, is a pathogenic coV that first appeared in Wuhan, China. Corona virus Disease 2019 (COVID-19) created by SARS-CoV-2, has been declared as pandemic by the World Health Organization since March 11, 2020. The epidemic started in Wuhan and spread rapidly around the world. Corona virus is facing a major epidemic: Severe Acute Respiratory Syndrome (SARS) and Middle East Respiratory Syndrome (MERS). SARS-CoV-2 is a virus closely related to SARS. Corona virus (COVID-19) is caused by SARS-CoV-2 VIRUS, a complex clinical disorder characterized by severe pneumonia and acute respiratory stress syndrome. Serious and neurological disorders, such as encephalitis, coma, fever, epilepsy, and Guillain-Barre syndrome, are more common in cases of COVID-19. In addition, chronic autoimmune and neurodegenerative diseases may occur in SARS- CoV-2 immunopathology and colonization of intestinal and central nervous system, as well as systemic inflammatory response during COVID-19. Parkinson's disease is a common neurodegenerative condition that causes the development of motor and non-motor symptoms.

17.
Journal of Pharmaceutical Research International ; 33(38A):232-236, 2021.
Article in English | Web of Science | ID: covidwho-1339720

ABSTRACT

Introduction: 2019 corona virus disease (COVID-19), a respiratory disease caused by a new corona virus (SARS corona virus 2, also known as novel corona virus) in China, has spread and attracted worldwide attention. The WHO declared the outbreak of COVID-19 a global public health emergency on January 30, 2020. Following the 2002 corona virus (SARS-Corona Virus) and the 2012 MERS Corona Virus, the virus SARS corona is the third most infectious disease and the largest corona virus that caused human outbreaks in the 20th century. Aim: To assess the Indians law that affects or supports the Indian citizen with present scenario of Pandemic. Conclusion: Coronavirus has called for a mixed response in India. The answer includes a host of regulations, guidelines, services, and administrative structures, as well as public and government warnings. As the demands of government action grow, the Passivence Sicknesses Act has become a topic of discussion. Instead of establishing a comprehensive health care system, the Pestilence Infections Act allows states to take special measures in response to serious infectious diseases. The law gives the public a broad mandate to participate in oppressive actions against citizens within this limited framework.

18.
Annals of the Romanian Society for Cell Biology ; 25(4):7131-7137, 2021.
Article in English | Scopus | ID: covidwho-1227481

ABSTRACT

INTRODUCTION: The severe acute respiratory syndrome corona virus 2 (SARS-CoV-2) or novel corona virus disease (COVID-19) pandemic is sweeping the globe. Latest information on the outbreak of the corona virus epidemic in 2019, which was caused by the extreme acute respiratory syndrome corona virus 2 strains, has begun to shed light on the disease's effects on the liver. However, no studies have systematically to date, there have been no impaired liver tests in COVID-19 patients. In patients with irregular liver test results, we looked at the clinical features of COVID-19. The goal of this research was to explain the clinical outcomes of COVID-19 in patients with irregular liver tests and CLD. AIM:We performed an observational study to see how irregular liver tests and patients' clinical outcomes were influenced by chronic liver disease admitted to SMHRC Nagpur. MATERIAL AND METHODS: The research included 200 people aged 25 to 65 years old who had been diagnosed with corona positive and were admitted to Shalinitai Meghe Hospital in Nagpur. They were split up into different parties. One group had chronic liver disease, and the other did not, but both groups had patients that were corona positive. We included patients who had liver defects as a result of corona viruses in this study. During the research phase, we gathered information from this patient. As a research group and a control group, we test SGOT, SGPT, ALP, Protein, Total bilirubin, and GGT levels. RESULTS: The findings show that corona positive patients with liver disease had elevated liver function tests, such as increased levels of SGOT, SGPT, Total billirubin, Alkaline phosphates, and GGT, when compared to those who did not have any liver abnormalities but were corona positive. A history of irregular liver tests and liver damage was related to the development of serious pneumonia. The detrimental impacts on liver injury were linked to some drugs taken during hospitalization, implying that these patients should be monitored and evaluated on a regular basis. CONCLUSION: Patients who had irregular liver tests were more likely to develop serious disease. The negative effects on liver damage were mostly due to some drugs taken during hospitalization, which should be closely monitored and evaluated. © 2021, Annals of R.S.C.B. All rights reserved.

19.
Indian Journal of Critical Care Medicine ; 25(SUPPL 1):S69, 2021.
Article in English | EMBASE | ID: covidwho-1200273

ABSTRACT

Introduction: COVID-19, the ongoing pandemic has caused thousands of deaths. Diabetes mellitus is frequent comorbidity associated with severe COVID-19 infection and had a worse prognosis. Hypercoagulability and hyperinflammation had been a commonly demonstrated feature among the patients with COVID- 19. Materials and methods: This retrospective cross-sectional study was conducted at SAIMS HOSPITAL, INDORE (M.P.) from July 2020 to September 2020. Patients were categorized into diabetics and non-diabetics based on ADA guidelines and clinical history. Results: The baseline characteristics of the two groups are comparable as shown in table. The box-plots of peak D-dimer levels in people with diabetes and people without diabetes are shown in figure. The relation between D-dimer levels in COVID-19 in people with diabetes and those without diabetes shows a significant difference t = 1.9715 (p value = 0.02). There is no significant elevation of inflammatory markers (CRP, IL- 6,S.Ferritin) in diabetic COVID-19 when compared to non-diabetics. Discussions: These results show that the inflammatory and hypercoagulability markers significantly increase in a diabetic group of COVID-19 patients when compared to their non-diabetic counterparts. Various reports suggest that diabetes activate several pathways leading to T-cell differentiation, immune system imbalance, pro- and anti-inflammation imbalance Conclusion: Diabetes mellitus has been one of the most consistent risk factors for severe disease in patients with COVID-19 and uncontrolled hyperglycemia has been associated with poor outcomes and mortality.

20.
Indian Journal of Critical Care Medicine ; 25(SUPPL 1):S6, 2021.
Article in English | EMBASE | ID: covidwho-1200228

ABSTRACT

Introduction: An inflammatory response to SARS-CoV-2 infection, due to cytokine release syndrome, has been implicated in the pathology of acute respiratory distress syndrome in patients with COVID-19. Baricitinib is a reversible JAK-inhibitor that interrupts the multiple inflammatory cytokines in COVID-19 immunopathology. Objectives: Our aim to study the overall outcome of baricitinib on critical patients with COVID-19. Materials and methods: A cross-sectional study of 10 cases, infected with COVID-19 severe pneumonia and were critically ill. The patient's average ICU stay, CBC, changes in HRCT scans, clinical improvement, cytokine storm markers before and after baricitinib doses were taken into account. Due consent was taken from all patients. Results: Seventy percent of patients showed a reduction in CRP values. In 70% of patients, D-dimer values either decreased or were kept within normal limits. 90% of patients were shifted from NIV support to NRBM within 7 days of baricitinib. 50% of patients showed a rising trend in platelet counts. 70% patients were shifted to ward from ICU 30% patients were discharged within 7 days of Baricitinib. Discussions: Baricitinib is the Janus kinase (JAK) inhibitor, which may prevent cytokine storm in patients with SARS-CoV-2 pneumonia. Conclusion: In our study, baricitinib has shown promising results. It is incumbent on researchers to develop and validate reliable tools to monitor the overall outcome of patients with baricitinib in COVID-19.

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