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1.
Chest ; 162(4):A638, 2022.
Article in English | EMBASE | ID: covidwho-2060654

ABSTRACT

SESSION TITLE: Unique Uses of Pulmonary Function Tests SESSION TYPE: Rapid Fire Original Inv PRESENTED ON: 10/19/2022 11:15 am - 12:15 pm PURPOSE: Coronavirus disease 2019 (COVID-19) is a highly transmissible respiratory disease that causes global pandemic. It is known to cause impairment of lung function leading to morbidity and mortality. Long term data for lung function tests in these populations is still limited. METHODS: A retrospective chart review of patients with COVID-19 pneumonia who had initial and follow up spirometry tests from August 2020 to December 2021 in a pulmonary clinic in Corpus Christi, Texas was performed. Baseline characteristic and spirometry parameters including age, gender, race, body mass index, comorbidities, pre/post bronchodilator FEV1, FVC, lung volume, DLCO and 6-minute walk test were collected. T test analysis was performed to compare the data between initial and follow up pulmonary function tests. RESULTS: A total of 29 patients were enrolled.The mean COVID diagnosis to PFT interval was 126 days. Mean follow up duration was 309 days. Mean (SD) age was 58 (10) years. Forty-eight percent of the participants were male gender. Majority of our participants were hispanic (72%) followed by caucasian (21%) and others (7%). Average BMI (SD) was 34.6 (7.5) kg/m². Restrictive lung defect pattern was found in 55.2% on initial pulmonary function test in the clinic which dropped to 41.4% in the follow up test with supportive management. Initial and follow up prebronchodilator percent predicted mean(SD) of FVC were 65 (20) and 72 (20) respectively with a mean difference of 6.3 (p=0.002, 95% CI 2.54-10.10). Initial and follow up prebronchodilator percent predicted mean(SD) of FEV1 were 71 (23) and 78 (21) respectively with a mean difference of 6.7 (p=0.003, 95% CI 2.46-10.90). Moreover, mean(SD) of DLCO and TLC showed significant improvement during follow-up visit [DLCO-69 (24) and 77 (20), mean difference of 7.6 (p=0.016, 95% CI 1.58-13.59), TLC-64 (17) and 71 (14) respectively, mean difference of 7(p=0.005, 95%CI 2.32-11.76)]. CONCLUSIONS: We found improvement of many parameters of pulmonary function test in post COVID-19 patients during follow-up with supportive care. CLINICAL IMPLICATIONS: Regular follow up can be a useful tool to understand the prognosis of post COVID-19 pneumonia sequelae. DISCLOSURES: No relevant relationships by Asad Chohan No relevant relationships by Saiara Choudhury No relevant relationships by Pahnwat Taweesedt No relevant relationships by Abhay Vakil

2.
Chest ; 162(4):A437, 2022.
Article in English | EMBASE | ID: covidwho-2060597

ABSTRACT

SESSION TITLE: COVID-19 Case Report Posters 1 SESSION TYPE: Case Report Posters PRESENTED ON: 10/17/2022 12:15 pm - 01:15 pm INTRODUCTION: COVID-19 infection with concurrent myasthenia gravis (MG) presents a unique diagnostic challenge for the clinician. We report the case of a patient presenting with respiratory failure secondary to COVID-19 Pneumonia and being diagnosed with MG. CASE PRESENTATION: Patient is a 72-year-old male without any significant medical history presented with progressively worsening shortness of breath, associated dysphagia and fatigue for 1-week duration. Laboratory data and imaging findings were suggestive of COVID-19 pneumonia. Patient's respiratory status deteriorated requiring mechanical ventilation. His oxygenation improved with steroid and anti-viral therapy. However, he was unable to be liberated from the ventilator secondary to neuromuscular weakness. Further work up confirmed MG. Patient was treated with high-dose steroids, pyridostigmine and intravenous immunoglobulin therapy. Patient was unable to be extubated and required a tracheostomy placement. DISCUSSION: Observational studies have suggested the rate of MG exacerbation to be 10-15% in COVID-19 infection. Mortality was found to be significantly higher in these patients compared to patients without MG. Several case reports have also shown exacerbation of previously asymptomatic MG with COVID-19 infection. Studies have indicated underlying MG to be an independent prognostic risk factor in COVID-19 infection. Treatment involves achieving symptomatic improvement with use of pyridostigmine, corticosteroids and long-term steroid sparing agents, in addition to administering usual treatment for COVID-19 infection. CONCLUSIONS: Our patient presents as a case of COVID 19 infection complicated with a possibly induced or previously undiagnosed case of MG complicating the clinical course. During evaluation of patients with respiratory failure secondary to COVID-19 infection, history focused on symptoms that may indicate underlying neuromuscular diseases should be obtained for early diagnosis and proper management. Given the high co-existence, it is important for clinicians to be aware of the association and treatment strategies in such patients. Reference #1: Galassi G, Marchioni A. Myasthenia gravis at the crossroad of COVID-19: focus on immunological and respiratory interplay. Acta Neurol Belg. 2021;121(3):633-642. doi:10.1007/s13760-021-01612-6 Reference #2: Sriwastava S, Tandon M, Kataria S, Daimee M, Sultan S. New onset of ocular myasthenia gravis in a patient with COVID-19: a novel case report and literature review. J Neurol. 2021;268(8):2690-2696. doi:10.1007/s00415-020-10263-1 Reference #3: Rodrigues CL, de Freitas HC, Lima PRO, et al. Myasthenia gravis exacerbation and myasthenic crisis associated with COVID-19: case series and literature review. Neurol Sci. 2022;43(4):2271-2276. doi:10.1007/s10072-021-05823-w DISCLOSURES: No relevant relationships by Asad Chohan No relevant relationships by Saiara Choudhury No relevant relationships by Rahul Dadhwal No relevant relationships by Rene Franco No relevant relationships by Ahsan Syed No relevant relationships by Pahnwat Taweesedt No relevant relationships by Abhay Vakil

3.
11th International Conference on Operations Research and Enterprise Systems (ICORES) ; : 337-344, 2022.
Article in English | Web of Science | ID: covidwho-1918008

ABSTRACT

Distributing vaccines among a massive population is one of the challenging tasks in a pandemic. Therefore, health care organizations need to optimize the assignment of vaccination appointments for people while considering their priorities and preferences. In this paper, we propose two optimal vaccine distribution models as Integer Linear Programming (ILP) models;namely, Priority-based Model (PM) and Priority & Preference-based Model (PPM), to maximize the distribution of vaccines among a given population. In PM, we divide the people among several priority groups and ensure maximum vaccine distribution among the higher priority groups. However, along with the priority groups, PPM also considers a list of preferred vaccine distribution centers and time slots for each person. Thus, this model maximizes vaccine distribution among the higher priority groups by assigning appointments in their desired location and time. We analyzed the performance of our proposed models on a randomly generated dataset. In addition, we also performed a case study for our proposed models on the COVID-19 vaccination dataset from Thunder Bay, Canada. In both experiments, we show that PPM outperforms PM in full-filling people's preferences while maximizing the distribution of vaccines among the higher priority groups.

4.
Annals of Indian Academy of Neurology ; 25(2):270-271, 2022.
Article in English | EMBASE | ID: covidwho-1887277
5.
Journal International Medical Sciences Academy ; 34(4):247-256, 2021.
Article in English | EMBASE | ID: covidwho-1880480

ABSTRACT

Background: Data on demographics, clinical presentation and outcome of COVID-19 in children is increasing day by day. Studies done in Europe states infected children develop less severe disease with a low case fatality rate, no such review is available from Asia. Methods: Adhering to the PRISMA (Preferred reporting items for systematic reviews and meta-analyses) guidelines a systemic review of the literature was performed looking for clinical characteristics of COVID-19 in the Asian pediatric population searching (PUBMED, SCOPUS, MEDLINE, and WHO -19 databases) from 01 January 2020 to 15 September 2020 to find any relevant article with medical subject headings (MeSH) terms like COVID-19, clinical characteristics, children, Asia, demography, outcome, management were used in different combinations. Results: We identified 26 case series across Asian countries consisting of 1664 pediatric patients. Asymptomatic children were 14.9 %. Fever 45.65 % and cough 32.62% were the most common symptoms. Contact history with confirmed COVID-19 positive children was 70.21%. Respiratory coinfection and other co morbidities were present in was present at 36.49 % and 14.09 % children respectively. Abnormal x-ray was observed in 52.1% children and ground-glass opacity were seen among 43.71% of abnormal CT scans. Abnormal laboratory data noted were leucocyte and lymphocytes count, C-reactive protein (CRP), Lactate dehydrogenase (LDH) and Procalcitonin. One death from COVID-19 was reported from our review. Conclusion: Children mostly acquired infection from adults, the course of the disease is usually milder, they have a good prognosis even with associated respiratory infections and co morbidities, and mortality rate is almost nil from Asia due to COVID -19 in our review.

6.
Journal of Global Health Reports ; 5(e2021036), 2021.
Article in English | CAB Abstracts | ID: covidwho-1865728

ABSTRACT

Countries around the globe, including India, are making strides to combat maternal and child health issues. To support these efforts, Digital Green implemented Project Samvad, a USAID-funded reproductive, maternal, newborn, and child health (RMNCH) project working across six states in India. The project used a human-mediated community video approach to improve maternal and child health outcomes. In early 2020, due to mobility-related restrictions and norms related to physical distancing resulting from the COVID-19 pandemic, Project Samvad's field activities stalled. This descriptive study highlights the project's pivot to the use of digital tools to reach beneficiaries during the COVID-19 pandemic. The project delivered COVID-19 related information by layering it on the existing RMNCH messages. It used WhatsApp and Interactive Voice Response System to reach out to the community and frontline workers. The content of the messages was locally relevant, culturally appropriate, and addressed the concerns of the local community concerning their immediate needs related to RMNCH and COVID-19. The project recorded a listenership of 85,199 and a content viewership of 283,866 in three months. The initiative also oriented 918 frontline workers virtually on their roles and responsibilities during COVID-19. The insights from the adaptation of our approach in the context of COVID-19 can help project managers and policymakers address communication issues during the pandemic or any other emergency, using digital dissemination for reaching beneficiaries, building the capacities of partners, engaging community members and frontline workers for improved learning, and dealing with process-related challenges.

7.
Embase; 2022.
Preprint in English | EMBASE | ID: ppcovidwho-334973

ABSTRACT

It is becoming increasingly clear that individuals recovered from acute coronavirus disease 2019 (COVID-19) can develop into long-term sequelae (post-acute sequala of SARS-CoV-2 infection, PACS). While antibody response kinetics against viral particles is well studied in natural infection and vaccine, the molecular mechanisms governing disease formation remain elusive. We investigated plasma and saliva samples from COVID-19 and healthy control subjects to understand early immune responses globally after exposure to the virus. Antibody analyses showed robust IgA and IgG responses, neutralizing functions to the SARS-CoV-2, and positive correlations between matched plasma and saliva fluids. Shotgun proteomics revealed persistent inflammatory patterns in convalescent samples including dysfunction of neutrophil-fibrinogen axis, and dysregulated immune and clotting functions. Our study suggests saliva as fluid to monitor serology and immune functions to detect early and chronic signs of disease development. Further delineation of the pathophysiology in saliva may lead to discovery of novel biomarkers and therapeutic targets to patients at risk to develop PASC and chronic conditions.

8.
Indian Journal of Respiratory Care ; 11(1):5-10, 2022.
Article in English | Web of Science | ID: covidwho-1810700

ABSTRACT

The whole world has witnessed an unimaginable, unforgettable medical disaster in the last 1 and 1/2 years in form of the demise of innumerable people due to the current pandemic of SARS COV-2. Despite several efforts to develop strong evidence-based effective and safe treatment regimens, the options remain very limited, to date. Vasoactive intestinal peptide (VIP) discovered as a gut peptide hormone in earlier days was found to have diversified physiological action with specific features of lung protection-related activities. It has a unique feature of binding to angiotensin-converting enzyme (ACE) receptor of Type II alveolar cell to which the COVID 19 virus also binds. Aviptadil as a synthetic VIP has already been proved to be an effective option in the treatment of severe respiratory failure due to sepsis and other related lung injuries. Interim analysis results of this drug use in respiratory failures caused by SARS COV-2 has evolved a new hope in regards to safety and efficacy. Final results from recently completed as well as currently, ongoing trials will clarify the class effect of this drug in the treatment of COVID 19 in the days to come.

9.
12th IEEE Annual Information Technology, Electronics and Mobile Communication Conference, IEMCON 2021 ; : 350-356, 2021.
Article in English | Scopus | ID: covidwho-1672783

ABSTRACT

In Bangladesh, there is a shortage of legitimate nourishment data frameworks that can give fitting sustenance messages dependent on various rules for pregnant ladies and newborn children. Lack of healthy sustenance devastatingly affects people's wellbeing and prosperity and the monetary improvement of nations. Conversely, essential or tertiary health laborers couldn't offer vital assistance to them. With so many people becoming ill from the (COVID-19), poor weight control plans exacerbate pre-existing conditions, putting them at greater risk. Individuals living with chronic illnesses who have been diagnosed with COVID-19 must improve their mental health and count calories to ensure that they remain in good health. Look for direct and psychosocial support from suitably prepared wellbeing care experts, including community-based lay and peer guides. Venturing into nourishment counsel, advancing breastfeeding, and battling deception around COVID-19 transmission will offer assistance to protect the role of nutritious nourishment as a partner against sickness. Any health worker in Bangladesh can easily use this application. Our health laborers regularly neglect to convey legitimate nourishment data to moms. Such an instrument can be helpful in giving a proper method to show particular nourishment messages to mothers dependent on their wellbeing stages and dependent on their baby's age. The design of this application can provide a legitimate office for conveying sustenance messages to mothers and workers. This framework may have to be examined occasionally to meet the progression of client prerequisites and be applied properly. © 2021 IEEE.

10.
CHEST ; 161(1):A247-A247, 2022.
Article in English | Academic Search Complete | ID: covidwho-1625114
11.
Journal of Urology ; 206(SUPPL 3):e45, 2021.
Article in English | EMBASE | ID: covidwho-1483585

ABSTRACT

INTRODUCTION AND OBJECTIVE: The COVID-19 pandemic exploits existing inequalities in the social determinants of health (SDOH) that influence disease burden and access to healthcare. The role of health behaviors and socio-economic status in genitourinary (GU) malignancy, has also been highlighted. Our aim was to evaluate predictors of patient level and neighborhood level factors contributing to disparities in COVID-19 outcomes in GU cancer patients. METHODS: Demographic information and co-morbidities for patients screened for COVID-19 across the Mount Sinai Health System (MSHS) up to June 10th, 2020 were included. Descriptive analyses and ensemble feature selection were performed to describe the relationships between these predictors and the outcomes of positive SARS-CoV-2 RT-PCR test, COVID-19 related hospitalization, intubation and death. RESULTS: Out of 47,379 tested individuals, 1,094 had a history of GU cancer diagnosis, of these 192 tested positive for SARS-CoV-2. Ensemble feature selection identified social determinants including zipcode, race/ethnicity, age, smoking status and English as preferred first language - as being the majority of significant predictors for each of this study's four COVID-19 related outcomes: a positive test, hospitalization, intubation and death. CONCLUSIONS: Patient and neighborhood level SDOH including zip code/NYC borough, age, race/ethnicity, smoking status, and English as preferred language are amongst the most significant predictors of these clinically relevant outcomes for COVID-19 patients with a GU cancer. Our results highlight the importance of these SDOH and the need to integrate SDOH in patient EMR with the goal to identify at risk groups. This study's results have implications for COVID-19 research priorities, public health goals, and policy implementations.

13.
International Journal of Intelligent Information and Database Systems ; 14(3):239-256, 2021.
Article in English | Scopus | ID: covidwho-1346334

ABSTRACT

Diagnosing COVID-19 in a fast and efficient manner is an ongoing problem. Currently, the methods of detection involve physical tests. Physical tests have the disadvantage that they require either test kits or medical equipment. This paper outlines the design of a type-2 fuzzy logic system that can help provide a preliminary diagnosis by computing the possibility that a patient is suffering from COVID-19 based on their external symptoms. It uses input information that can be gleaned without need for medical procedures. Both statistical data and the knowledge base were garnered from publicly available databases and datasets. The fuzzy logic system implemented here is functional, but it is fairly inaccurate and illustrates that more information, both symptomatic and epidemiological is needed, to predict COVID-19 infections through an expert system. Copyright © 2021 Inderscience Enterprises Ltd.

14.
21st International Conference on Computational Science, ICCS 2021 ; 12742 LNCS:352-366, 2021.
Article in English | Scopus | ID: covidwho-1342943

ABSTRACT

With the approval of vaccines for the coronavirus disease by many countries worldwide, most developed nations have begun, and developing nations are gearing up for the vaccination process. This has created an urgent need to provide a solution to optimally distribute the available vaccines once they are received by the authorities. In this paper, we propose a clustering-based solution to select optimal distribution centers and a Constraint Satisfaction Problem framework to optimally distribute the vaccines taking into consideration two factors namely priority and distance. We demonstrate the efficiency of the proposed models using real-world data obtained from the district of Chennai, India. The model provides the decision making authorities with optimal distribution centers across the district and the optimal allocation of individuals across these distribution centers with the flexibility to accommodate a wide range of demographics. © 2021, Springer Nature Switzerland AG.

15.
2021 Workshop on Computer Networks and Communications, WCNC 2021 ; 2889:69-75, 2021.
Article in English | Scopus | ID: covidwho-1303017

ABSTRACT

In the telecom sector the competition is always very high barring few occasions. Each of the service providers wants to stay top in the game and the role of data analytics is gaining more and more momentum to unearth the insights from all the data captured. The events of Covid-19 outbroken in early 2020 have turned the world completely upside down. Considering the exceptional economic & health crisis, organizations scrambled to adjust their ways of working to run their daily operations. They could no longer rely on previous assumptions about their customers, including their buying patterns e.g.;when the selling curve will go up, what are the seasonal patterns, what product mix make them buy etc. In no days, brick & mortar stores closed due to panic, e-commerce sales gradient rising, and customer center interactions exploded. Meanwhile, the new normal defines the new consumption pattern of media as more people started working from home, spending more time online and watching TV, and virtual interaction is all time high rather than contacting in person. Rapid change is obvious in this crisis period, and more than ever, organizations need to make decisions quickly that are however anchored in data. Yet, even as organizations bury themselves in data, they are getting an incomplete picture of performance and their customers and almost all the time this is data related [10]. This creates the classic dichotomy;you rely on data to make the decision and you are not sure whether data has the proper quality or not. Data is an important factor, for any strategy the leadership team of any organization is willing to take. In Telecom industry, managing data effectively and efficiently is one of the toughest challenges. Often, different functional departments and sub-functional departments create their own version of data and applications which can help their day to day activities. This kind of fit-for-application and their own set of data elements create the silos within the organization, duplicate the effort and make it nearly impossible to manage the data democratically. Different departments having different versions of the truth leads to plentiful issues including poor operational, predictive & regulatory reporting. In a big telecom organization, it is common that the same enterprise, network and product data gets replicated, processed and managed multiple times throughout the company. Transitioning a telecom organization to a truly data driven organization where data is 'managed' is not only difficult but need to overcome numerous common challenges. A successful data-operating model across the organization is the answer to that [1]. A successful data operating model helps to disrupt the technical silos existing in an organization. It builds upon the business model clearly indicates the value created out of it with a long-term goal alignment and addresses the way, data is going to be handled across the newly defined organizational processes;all the way from upstream data collection, cleansing and enrichment to the referencing and the downstream use of raw or transformed data [11]. © 2021 CEUR-WS. All rights reserved.

16.
Mymensingh Medical Journal: MMJ ; 30(3):769-779, 2021.
Article in English | MEDLINE | ID: covidwho-1296474

ABSTRACT

The huge numbers of non-healthcare personnel (non-HCP) who get infected by corona virus disease 2019 (COVID-19) not only paralyze health care systems but also put health care personnel (HCP) at potential risk globally. Objective of the study was to compare the Healthcare personnel (HCP) and non-HCP COVID-19 cases. This prospective observational study was carried out in National Heart Foundation Hospital and Research Institute of Bangladesh from March 08, 2020 to July 20, 2020. During this study period all admitted non-HCP who subsequently was diagnosed as COVID-19 positive by rRT-PCR and HCP of this hospital, who experienced fever or respiratory symptoms or came in close contact with COVID-19 patients at home or their workplace and become COVID-19 positive, were included. Out of 320 infected patients, 181(56.6%) patients were non-HCP and 139(43.4%) were HCP. Non-HCP were older than HCP (Mean age: 52.95+/-13.82 years vs. 34.08+/-11.11 years;p=0.001). Non-HCP were predominantly male and HCP were predominantly female (73.5% vs. 41% & 26.5% vs. 59%;p=0.001). Non-HCP had more risk factors and co-morbidities than HCP (p=0.001). Typical symptoms of COVID-19 such as fever and cough were prevalent in HCP. More aggressive treatment was required for non-HCP. Non-HCP had more severe disease and higher case fatality rate (9.4% vs. 0.7%;p=0.001) than HCP. Disease severity (OR 0.03, 95% CI 0.01-0.15) and DM (OR 0.09, 95% CI 0.01-0.94) were the independent predictor of mortality. Non-HCP was older in age, predominantly male and had more co-morbidities than HCP. Typical symptoms of COVID-19 were prevalent in HCP. Non-HCP had more severe disease and higher case fatality rate than HCP.

17.
Frontiers in Marine Science ; 8:11, 2021.
Article in English | Web of Science | ID: covidwho-1262608

ABSTRACT

The impact of the coronavirus disease 2019 (COVID-19) lockdown in the Hooghly estuarine region, India is assessed using the total suspended matter (TSM) concentration. The estimation of TSM is performed using Landsat-8/operational land imager (OLI), and an intercomparison of TSM load during the pre-lockdown and lockdown periods is done. It is observed that during the lockdown period, TSM reduced by 30-50%. This is a significant observation considering the ecological balance of the region and the fact that it is home to the largest mangroves in the world. This change in suspended matter presumably reflects the influence of reduction in anthropogenic activities owing to the COVID-19 lockdowns, such as industries, closure of shipping activities (through less dredging), and brick kilns (through less sediment removal), which are generally the primary contributors in this region. Even though these observed changes are representative of the positive influence of the COVID-19 lockdown, its implications in estuarine biogeochemistry still remain poorly quantified. The decrease in TSM content may increase light penetration, thereby increasing the primary productivity. In addition, low sediment load reaching the Bay of Bengal could influence the carbon export due to reduction in ballasting effect as reported from this region. In summary, the influence of the COVID-19 lockdown on the biogeochemistry of the aquatic ecosystem appears rather complex than thought earlier and may vary regionally based on local hydrodynamics. The analysis elucidates the complex interplay of regional lockdown and its implication in modulation of local biogeochemistry. However, the relative importance of each process in the Hooghly estuary remains to be fully evaluated.

18.
International Journal of Infectious Diseases ; 101:233-234, 2020.
Article in English | Web of Science | ID: covidwho-1086038
19.
Journal of Studies on Alcohol and Drugs ; 81(4):520-521, 2020.
Article in English | Web of Science | ID: covidwho-1017421
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