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1.
Chest ; 162(4):A387-A388, 2022.
Article in English | EMBASE | ID: covidwho-2060579

ABSTRACT

SESSION TITLE: Post-COVID-19 Infection Complications SESSION TYPE: Case Report Posters PRESENTED ON: 10/17/2022 12:15 pm - 01:15 pm INTRODUCTION: COVID-19 has affected over 200 million people worldwide. Clinicians continue to observe unusual manifestations of this disease. In an attempt to improve our understanding of COVID-19 pneumonia, we present the details of one patient who developed large bilateral pulmonary cysts. CASE PRESENTATION: A 40-year-old woman with no known medical problems presented with the chief complaint of fever, nausea, vomiting, generalized weakness followed by difficulty breathing that developed over a few days. Her vital signs on admission included temperature 98.4° F, heart rate 104 beats/minute, respiratory rate 48 breaths/minute, O2 saturation 88 percent on 15 liters of oxygen through a non-rebreather mask, and Body Mass Index 42 kg/m2. The patient tested positive for COVID-19. Computed tomography (CT) of the chest to rule out a pulmonary embolism showed bilateral extensive ground-glass opacities and reticular and nodular opacities. She was intubated for acute hypoxic respiratory failure. Twenty days into the hospital admission, she was noted to have a bulla in the right lower lobe. A repeat CT chest on day 45 revealed an increase in the number and size of cysts bilaterally. Patient was discharged to rehab and later readmitted for worsening respiratory status. This time she tested positive for human metapneumovirus. A CT chest showed increase in the size of the right sided lung cysts;the left sided lung cysts had resolved. DISCUSSION: The first COVID-19 related pulmonary cystic lesions were reported in May 2020(1). Since then, several reports have now established a relationship between an infection and cyst formation. The most common distribution is peripheral in the lower lobes. The pathogenesis remains uncertain, but several mechanisms have been proposed. Microthrombi in the pulmonary circulation could lead to ischemia and subsequent remodeling of interstitial matrix and bronchial obstruction with distal hyperinflation due to check valve mechanism. (1,2). Hamad et al. propose that pneumatoceles are formed by air leaked in to the interstitium which causes stripping and separation of a thin layer of lung parenchyma with further injury to the small blood vessels and bronchioles. The rate of barotrauma in non-COVID-19 related ARDS is 0.5%;the rate in COVID-19 ARDS is 15% (3). This suggests a close relation between COVID-19 pneumonia and subsequent development of pulmonary cysts. Our patient had no preexisting pulmonary disease and was noted to have pulmonary cysts after being on mechanical ventilation for almost 2 weeks. The patient later contracted the human metapneumovirus infection and CT showed that the right-sided lung cysts had become bigger in size. However, the left-sided cysts which had a maximum diameter of 4.8 cm had resolved. CONCLUSIONS: We need to follow patients with COVID 19 induced lung cysts clinically and radiologically to understand the clinical course and best management strategies. Reference #1: Kefu Liu et al. COVID 19 with cystic features on Computed tomography;Medicine (Baltimore) 2020May;99(18): e20175. PMCID: PMC7486878 Reference #2: Galindo J, Jimenez L, Lutz J et al. Spontaneous pneumothorax with or without pulmonary cysts, in patients with COVID 19 Pneumonia. Journal of infections in developing countries 2021;15(10);1404-1407 Reference #3: McGuinness G, Zhan C, Rosenberg N, Azour L, Wickstrom M, Mason DM, Thomas KM, Moore WH. Increased incidence of barotrauma in patients with COVID-19 on invasive mechanical ventilation. Radiology. 2020;297(2): E252–E262. doi: 10.1148/radiol.2020202352 DISCLOSURES: No relevant relationships by Arunee Motes No relevant relationships by Kenneth Nugent No relevant relationships by Tushi Singh No relevant relationships by Myrian Vinan Vega

2.
2nd IEEE International Conference on Intelligent Technologies, CONIT 2022 ; 2022.
Article in English | Scopus | ID: covidwho-2029221

ABSTRACT

Human health is severely endangered by the novel coronavirus (COVID-19). It is viewed as the worst global health threat humans have faced since the second world war and the WHO recognized it as a pandemic on March 11, 2020. This pandemic led several nations to adopt statewide lockdowns, while the industrial, construction, and transportation activities in several nations were disrupted, which lead to a significant shift in air pollutants. The lockdown, however, significantly impacted the environment and air quality in distinct cities. There are numerous ground stations deployed by pollution control organizations to monitor and collect the air pollutants data, but it is not feasible to set up a ground station in every city. In places where ground stations are not available for data collection, Google Earth Engine (GEE) satellite captured data can be used for data analysis. This study aimed to analyze the changes in air pollutants during the different lockdowns in India, such as nitrogen dioxide(NO2), sulfur dioxide(SO2), and carbon monoxide(CO) that contribute significantly to air pollution. In India, lockdowns were imposed during different periods of 2020, 2021, and 2022, according to COVID-19 waves. The air pollutants data during different waves have been analyzed and compared with the pre-COVID year (2019) data for the same duration. According to the study results, N O2 and S O2 were drastically reduced, but only a minor reduction in CO. Delhi, Jaipur, Ahmedabad, and Mumbai were among the major cities that saw the largest reduction, which was up to 60%. © 2022 IEEE.

3.
Indian Journal of Critical Care Medicine ; 26:S3, 2022.
Article in English | EMBASE | ID: covidwho-2006316

ABSTRACT

Aim and objective: Non-invasive fluid management in COVID shock patient in ICU. Materials and methods: Our hospital use sterling stroke volume-guided fluid management for COVID shock patients. In the University of Kansas health system evaluated 200 cases for stroke volume (sv) guided fluid resuscitation this study showed ICU length of stay reduced by 2.89 days, risk of mechanical ventilation reduced by 51%, initiation of acute dialysis therapy reduced by 13.2%, this system saves an estimated $14498 per treated patient this system use Bioreactance technology to measure sv in shock patient in two sensor place above the heart and two below the heart and continue measurement of sv done in 48 seconds. Validation studies over 500 patient published clinical studies result are same all major technologies (Swan Ganz, pulse contour, Doppler, fick) and over 100 peer-reviewed publications are there. This technique is 100% non-invasive accurate flexible-this sterling system use PLR or bolus test for sv management we are using in emergency for our Rapid Response Team in MICU OT for perioperative fluid management and all surgical ICU. Results: 1 ICU length of stay reduced by 2.89 days 2 risk of mechanical ventilation reduced by 51% 3 initiations of acute dialysis therapy reduced by 13.5% 4 save an estimated $14498 per treated patient. Conclusion: Sterling monitoring platforms use unique, patented Bioreactance technology to take measures continuously and precisely, and they require only four easy to place sensor pads. The sensors can be- anywhere on the chest two above the heart and two below the heart to create a box around the heart we advise sterling stroke volume guided fluid management in emergency medical ICU surgical ICU and perioperative and RRT for accurate fast and 100% non-invasive technique for COVID patient.

4.
J Biomol Struct Dyn ; : 1-17, 2022 Aug 18.
Article in English | MEDLINE | ID: covidwho-1991833

ABSTRACT

SARS-CoV-2, the causing agent of coronavirus disease (COVID-19), first broke out in Wuhan and rapidly spread worldwide, resulting in a global health emergency. The lack of specific drugs against the coronavirus has made its spread challenging to control. The main protease (Mpro) is a key enzyme of SARS-CoV-2 used as a key target in drug discovery against the coronavirus. Medicines derived from plant phytoconstituents have been widely exploited to treat various diseases. The present study has evaluated the potential of Illicium verum (star anise) phytoconstituents against Mpro by implementing a computational approach. We performed molecular docking and molecular dynamics simulation study with a set of 60 compounds to identify their potential to inhibit the main protease (Mpro) of SARS-CoV-2. DFT study and post dynamics free energy calculations were also performed to strengthen the findings. The identified four compounds by docking study exhibited the highest potential compared to other selected phytoconstituents. Further, density functional theory (DFT) calculation, molecular dynamics simulation and post dynamics MM-GBSA energy calculation predicted Verimol-G as a potential compound, which formed stable interactions through the catalytic dyad residues. The HOMO orbital energy (-0.250038) from DFT and the post dynamics binding free energy calculation (-73.33 Kcal/mol) correlate, suggesting Verimol-G is the best inhibitor compared to the other phytoconstituents. This compound also complies with the ADME properties of drug likeliness. Thus, based on a computational study, we suggest that Verimol G may be developed as a potential inhibitor against the main protease to combat COVID-19.Communicated by Ramaswamy H. Sarma.

6.
Indian Journal of Leprosy ; 94:63-68, 2022.
Article in English | Scopus | ID: covidwho-1958046

ABSTRACT

Covid-19 disease was declared as a pandemic by World Health Organization in March 2020. Subsequently, a nationwide lock down for variable intensity and periods was announced in India to contain the disease. Leprosy patients faced difficulties during this pandemic owing to their long-term health care requirements and lack of access to leprosy services during covid time. This resulted in deprivation of multi-drug therapy (MDT), steroids and other drugs to leprosy patients, which is detrimental to the patients as well as to the society. This study was conducted to analyze the impact of covid-19 pandemic induced lock downs and movement restrictions on leprosy patients attending a tertiary care centre. This provides data to assess their impact on leprosy healthcare services. The study observed a marked decrease in the number of leprosy patients attending the leprosy out patient care and also a reduction in the number of new cases registered during the year 2020. Quarterly analysis showed maximum reduction of cases occurring during the lockdown period and peak covid-19 infection periods. As there is a likelihood of this pandemic continuing and similar other disruptions may occur again, there is a need to assure that MDT and health care services reach leprosy patients by various other means. Some of the modifications can be a) supplying a 3 to 6 month course at a time as A-MDT, b) home delivery of drugs by health workers c) promotion of telemedicine services for leprosy patients d) optimal utilization of social media to educate and counsel leprosy patients on both covid-19 and leprosy. It is also important that leprosy clinics and drug delivery services should be continued both in Covid and Non-covid hospitals at par with Revised National TB Control Programe (RNTPC) renamed as National Tuberculosis Elimination Programme (NTEP) and Anti-Retroviral Treatment (ART) services. © Hind Kusht Nivaran Sangh, New Delhi.

7.
Neurology ; 98(18 SUPPL), 2022.
Article in English | EMBASE | ID: covidwho-1925158

ABSTRACT

Objective: To describe the prevalence, associated risk factors, and outcomes of serious neurologic manifestations (encephalopathy, stroke, seizure, and meningo-encephalitis) among patients hospitalized with coronavirus disease 2019 (COVID-19). Background: Though case series abound, limited prospective multi-center data exists describing neurologic manifestations of COVID-19 Design/Methods: Prospective observational study of hospitalized adults in 179 hospitals in 24 countries with laboratory-confirmed SARS-CoV-2 infection within the SCCM Discovery Viral Infection and Respiratory Illness University Study (VIRUS) COVID-19 Registry Results: Of 16,225 patients enrolled in the registry with discharge status available, 2,092 (12.9%) developed serious neurologic manifestations including 1,656 (10.2%) with encephalopathy at admission, 331 (2.0%) with stroke, 243 (1.5%) with seizure, and 73 (0.5%) with meningitis/encephalitis at admission or during hospitalization. Patients with serious neurologic manifestations were older with median (IQR) age 72 (61.0-81.0) vs. 61 (48.0-72.0) years and had higher prevalence of chronic medical conditions, including vascular risk factors. Systemic viral symptoms (fever, dyspnea, and cough) were less commonly reported in patients with severe neurologic manifestations as were milder neurologic symptoms including anosmia, dysgeusia, and headache. Adjusting for sex and time since the onset of the pandemic, serious neurologic manifestations were associated with more severe disease (OR 1.82, p<0.001) as defined by the WHO ordinal disease severity scale. Patients with neurologic manifestations were more likely to be admitted to the ICU (OR 1.45, p<0.001) and ICU interventions (ECMO: OR 1.78, p=0.009 and RRT: OR 1.99, p<0.001). Hospital and 28-day mortality for patients with neurologic manifestations was higher (OR 1.51 and 1.58, p<0.001), and patients had fewer ICU-free, hospital-free, and ventilator-free days (OR -0.84, -1.34, and -0.84, p<0.001). Conclusions: Encephalopathy at admission is common in COVID-19 infection and is associated with worse outcomes. While serious neurologic manifestations including stroke, seizure, and meningitis/encephalitis were less common, all were associated with increased ICU support utilization, more severe disease, and worse outcomes.

8.
Enabling Healthcare 4.0 for Pandemics: A Roadmap Using AI, Machine Learning, IoT and Cognitive Technologies ; : 299-316, 2021.
Article in English | Scopus | ID: covidwho-1919216

ABSTRACT

COVID-19 has become a global challenge and is threatening mankind. The global economy is in crisis due to a long tranche of partial to complete lockdown. Forecasting the number of COVID-19 cases is a challenge as cases are both symptomatic as well as asymptomatic, recurrence after recovery is another challenge. Careful data analysis is required to predict and estimate the number of affected cases as well as death ratio. During this pandemic situation, forecasting uncertainty is of utmost importance in decision making. In this chapter, authors have developed a model to predict the COVID-19 confirmed cases. The prediction is based on the data collected in different phases of lockdown in India. In this study, a model is developed using machine learning approaches based on the analysis of data of two Indian states Delhi and Maharashtra where maximum infected cases are found. This study is an attempt to help the decision-makers in better planning and actions. In this study, Neural Network (NN) and M5P model trees are applied to forecast the number of infected cases with each progressive day. Results suggest that the performance of the neural network-based model is slightly better than the M5P model tree in forecasting COVID-19 cases. © 2021 Scrivener Publishing LLC.

9.
BJOG-AN INTERNATIONAL JOURNAL OF OBSTETRICS AND GYNAECOLOGY ; 129:83-83, 2022.
Article in English | Web of Science | ID: covidwho-1904464
10.
Journal of Pacific Rim Psychology ; 16:18, 2022.
Article in English | Web of Science | ID: covidwho-1886894

ABSTRACT

While most studies have been reporting the psychological issues being faced by the public due to the global spread of coronavirus and sudden restrictions and changes accompanying it, the present study attempted to explore dynamic human experiences during the COVID-19 pandemic and resultant lockdown, so as to understand the psycho-social factors that acted as adaptive resources or as buffers to maintain a stable mental state amidst this crisis. In-depth telephonic interviews with 30 participants were conducted to explore their experiences in dealing with the COVID-19 pandemic and the lockdown. Thematic analysis performed to identify the positive and protective factors that helped people adapt in a healthy way revealed that although the initial response of the participants to the pandemic was "optimistic bias" followed by downplaying the seriousness of the issue, later they demonstrated increased realization and acceptance to the seriousness of the situation. Upon realizing the situation, their positive psychological resources acted as a buffer against the ill effects of the pandemic, and they used both cognitive and behavioral coping. The study clearly demonstrates that crisis in life is not just a source of stress, anxiety, and uncertainty but also an opportunity to test one's psychological resources to learn and grow.

11.
Indian Journal of Agricultural Sciences ; 92(4):469-473, 2022.
Article in English | CAB Abstracts | ID: covidwho-1864084

ABSTRACT

To critically assess the performance of micro and small foodpreneurs during COVID-19 pandemic in Manipur state of India, an online survey was conducted during the year 2020. The survey data was subjected to non-parametric statistical analysis using PROC NPAR1WAY and Dwass, Steel, Critchlow-Fligner multiple comparison analysis. The findings suggested that during COVID-19 pandemic, the micro and small foodpreneurs faced multifaceted challenges with respect to the number of employees, working hours, supply of raw material, selling mode, production, sale, turnover and the extent of loss, etc. The performance of different categories of foodpreneurs was compared based on the change in various performance indicators between pre-pandemic and pandemic period. The study also highlights the major problems faced by the foodpreneurs and remedial measures. This is the first report on the impact of COVID-19 pandemic on foodpreneurs from North East India.

12.
Journal of the American College of Cardiology ; 79(9):2326-2326, 2022.
Article in English | Web of Science | ID: covidwho-1849091
13.
British Journal of Surgery ; 109:1, 2022.
Article in English | Web of Science | ID: covidwho-1799469
14.
Traitement Du Signal ; 39(1):265-274, 2022.
Article in English | Web of Science | ID: covidwho-1791613

ABSTRACT

The technological progress in digital medical imaging has enabled the diagnosis of various ailments, and thus upgraded the global healthcare system. In the era of coronavirus 2019 (COVID-19), telemedicine plays the crucial role of supporting remote medical consultation in rural locations. During the remote consultation, numerous medical images are sent to each radiologist via the Internet. There has been a surge in the number of attacks on digital medical images worldwide, which severely threatens authenticity and ownership. To mitigate the threat, this paper proposes a robust and secure watermarking approach for NIfTI images. Our approach painstakingly incorporates a watermark into the chosen NIfTI image slice, aiming to accurately fit the watermark, while preserving the medical information contained in the slice. Specifically, the original image was converted through the lifting wavelet transform (LWT), realizing excellent modification during insertion. Next, Z transform was applied over the low-low (LL) band, and the Hessenberg decomposition (HD) was performed on the transformed band, which contains the maximum energy of the image. Afterwards, Arnold Cat map was employed to scramble the watermark, before inserting it into the slice. Simulation results show that our approach strikes a perfect balance between security, imperceptibility, and robustness against various attacks, as suggested by metrics like peak signal-to-noise ratio (PSNR), normalized correlation (NC), structural similarity index measure (SSIM), and universal image quality index Q.

15.
Journal of Cardiovascular Disease Research ; 13(1):894-899, 2022.
Article in English | EMBASE | ID: covidwho-1791332

ABSTRACT

Mucormycosis was a difficult illness to treat in the past due to a lack of diagnostic and treatment alternatives. Rhino-orbital-cerebral mucormycosis usually affects the maxillary sinus with involvementof maxillary teeth, orbits, and ethmoidal sinuses. Diabetes mellitus is an independent riskfactor for both COVID-19 as well as mucormycosis. Advances in pathology, diagnostic tools, and treatment choices are discussed here.

16.
3rd International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2021 ; : 2047-2051, 2021.
Article in English | Scopus | ID: covidwho-1774601

ABSTRACT

Coronavirus, a lung infection disease 2019 (COVID-19), is a sickness that is happening because of a virus, which is now also known as SARS-CoV-2 (Acute Respiratory Syndrome Coronavirus-2 COVID) was initially found in the city of China, named Wuhan. WHO was reported about COVID-19 disease on December 31st, year 2019.On January 30th, 2020, the WHO declared this outbreak a health emergency on a global level. On March 11th, 2020, it was announced as a worldwide pandemic by the World Health Organization. Coronavirus can trigger a tract infection. It affects a human being's respiratory tract-both lower or upper or both. In this research, we have proposed a rapid detection system for noticing COVID 19 disease in its early stages by using images of radiography(chest). Our model differentiates between two types of images, standard (non-COVID) and COVID infected. Since the images used for the training part for COVID infection are limited, we have used the Data Augmentation technique. Data Augmentation is a phenomenon that expands the dimensions of a dataset by producing altered versions of these images. This approach has proved to increase the efficiency of the model. © 2021 IEEE.

17.
British Journal of Surgery ; 109(SUPPL 1):i16, 2022.
Article in English | EMBASE | ID: covidwho-1769153

ABSTRACT

Introduction: In an orthopaedic department, majority of plans and decision-making cases occur at the daily trauma meeting. With the advent of COVID-19 pandemic, it was challenging to deliver the standard care maintaining social distancing guidelines. Therefore, virtual trauma handover replaced the traditional face-to-face handover as a standalone solution. This study has tried to report on effectivity of the new virtual trauma handover process. Method: This single centre observational study compared retrospectively collected data during pre-COVID-19 period (2019) and prospectively followed data from virtual trauma meetings during COVID 19 pandemic. The study analysed comparison of meeting start and finish time, attendance of key members, punctuality of attendees and interruptions during the handover process. Results: Changing from face-to-face to virtual trauma meetings, average participation doubled from 9 to 18 with increased consultant attendance (Mean: 7.5 vs 2) -statistically significant (p , 0.05). Enhanced senior clinician participation helped in multidisciplinary decision making promptly. Punctuality of attendance noted as declining late arrivals in 28/34 face-to-face to 4/34 virtual meetings. Although meetings starttime remained similar overall, there was less interruptions during virtual handover and mean meeting span reduced by 13 minutes. Conclusions: As part of adaptive changes during COVID-19 pandemic, virtual trauma handover meetings have introduced changes in delivery of existing acute trauma services. Within very few limitations, it could be an aid to improve clinician participation, easiness of having multidisciplinary opinion and decision making. Moreover, it helped to practice social distancing guidelines. Educational activities are also effectively managed through virtual meetings.

18.
Journal of the American College of Cardiology ; 79(9):3273, 2022.
Article in English | EMBASE | ID: covidwho-1768656

ABSTRACT

Background: Histoplasmosis is a rare cause of infective endocarditis. Here we describe a case of disseminated histoplasmosis involving a prosthetic aortic valve (AV). Case: A 50-year-old male from Ohio, with history notable for congenital aortic valve disease status post bioprosthetic AV replacement (AVR) in 2014, presented with 6 months of flu-like illness, pancytopenia, and suspected transient ischemic attack after receiving the COVID-19 Johnson & Johnson vaccine, posing concern for post-vaccination reaction. However, COVID-19 polymerase chain reaction testing was negative. Detailed workup revealed myelodysplastic syndrome and positive urine histoplasmosis antigen. Chest computed tomographic angiography (CTA) demonstrated a 16x16 mm left lower lobe pulmonary nodule with central cavitation suspicious for pulmonary histoplasmosis. Transesophageal echocardiography (TEE) showed bulky thickening of the prosthetic leaflets with suspected vegetation causing severe prosthetic aortic stenosis. Head and neck CTA showed no mycotic aneurysms. Decision-making: He was treated with Amphotericin B and underwent redo AVR. Intraoperative findings included a very large vegetation with near-total obstruction of the aortic valve and circumferential necrotic tissue of the aortic root (Figure 1). Conclusion: Despite its rare incidence, histoplasmosis should remain on the differential for infective endocarditis in patients presenting with systemic illness and prosthetic valves. [Formula presented]

19.
Studies in Computational Intelligence ; 1007:325-336, 2022.
Article in English | Scopus | ID: covidwho-1767463

ABSTRACT

Corona virus has affected the lives of people significantly due to its very high transmission rate. It is a serious threat to human beings. Therefore, it has become quite a challenge for governments, companies, researchers, and other health organizations for developing policies to reduce the effects of corona virus and developing its cure as soon as possible. Technologies, particularly artificial intelligence (AI), are playing a vital role in managing COVID-19 as it is capable of rapidly processing a large amount of data and analyzing it in no time. AI-based techniques such as machine learning, deep learning, etc. are being actively used by several nations for fighting against COVID-19. These techniques are already being used for diagnosing patients, drug discovery, awareness, training of doctors and support staff, etc. The aim of this study is to survey the available literature and present the role of AI in tackling COVID-19 all around the world. Further, it discusses various applications of AI such as diagnosing patients, tracking, monitoring patient’s health, discovering drugs, spreading awareness, etc. for fighting against the pandemic, and this study also identifies the approaches that are currently being proposed by the researcher for diagnosing COVID-19 patients using CT and X-ray images. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

20.
5th International Conference on Information Systems and Computer Networks, ISCON 2021 ; 2021.
Article in English | Scopus | ID: covidwho-1759111

ABSTRACT

Today's generation wants everything easier, faster and automatic. During this corona pandemic, health and safety of each and every individual, either who is traveling through flights or working at an airport is a big issue. Usually, when we go to an airport, we go through many checks, and before boarding the flight, the security check-in, our luggage bags are counted and tagged by the person working at the counter of the airport. The luggage bags are put on the conveyor belt and the person working at the counter has to count the luggage bags by himself, he has to stick the tags on the luggage bags. None of the airports provides the facility of automatic counting of the luggage bags and sticking tags on them. And during this COVID-19 pandemic, we should avoid touching maximum things. This research paper provides a new technique for the same and that in a smart way. In this research, we are providing a novel approach to create an automatic system which will help to make the airport a smart one with IOT sensors and devices. Smart Airport also provides the counting of the luggage bags, tagging of the luggage bags, checking the presence of metallic objects in the luggage bags in a single embedded system. This approach will help the human society in maintaining social distancing and help them to save their time. © 2021 IEEE.

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