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1.
medrxiv; 2023.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2023.07.05.23292278

ABSTRACT

Background: COronaVIrus Disease 2019 (COVID-19) has been observed to be associated with a hypercoagulable state. Intracardiac thrombosis is a serious complication but has seldom been evaluated in COVID-19 patients. We assessed the incidence, associated factors, and outcomes of COVID-19 patients with intracardiac thrombosis. Methods: COVID-19 inpatients during 2020 were retrospectively identified from the national inpatient sample (NIS) database, and data retrieved regarding clinical characteristics, intracardiac thrombosis, and adverse outcomes. Multivariable logistic regression was performed to identify the clinical factors associated with intracardiac thrombosis and in-hospital mortality and morbidities. Results: A total of 1,683,785 COVID-19 inpatients were identified in 2020 from NIS, with a mean age of 63.8 {+/-} 1.6 years, and 32.2% females. Intracardiac thrombosis was present in 0.001% (1,830) patients. Overall, in-hospital outcomes include all-cause mortality 13.2% (222,695/1,683,785), cardiovascular mortality 3.5%, cardiac arrest 2.6%, acute coronary syndrome (ACS) 4.4%, heart failure 16.1%, stroke 1.3% and acute kidney injury (AKI) 28.3%. The main factors associated with intracardiac thrombosis were a history of congestive heart failure and coagulopathy. Intracardiac thrombosis was independently associated with a higher risk of in-hospital all-cause mortality (OR: 3.32, 95% CI: 2.42-4.54, p<0.001), cardiovascular mortality (OR: 2.95, 95% CI: 1.96-4.44, p<0.001), cardiac arrest (OR: 2.04, 95% CI: 1.22-3.43, p=0.006), ACS (OR: 1.62, 95% CI: 1.17-2.22, p=0.003), stroke (OR: 3.10, 95% CI: 2.11-4.56, p<0.001), and AKI (OR: 2.13 95% CI: 1.68-2.69, p<0.001), but not incident heart failure (p=0.27). Conclusion: Although intracardiac thrombosis is rare in COVID-19 inpatients, its presence was independently associated with higher risks of in-hospital mortality and most morbidities. Prompt investigations and treatments for intracardiac thrombosis are warranted when there is a high index of suspicion and a confirmed diagnosis respectively.

2.
JK Science ; 25(1):30-34, 2023.
Article in English | CAB Abstracts | ID: covidwho-2325721

ABSTRACT

Background: The main aim of the study was to evaluate the different parameters of the COVID-19 pneumonia in India during the first and second waves. Method: Five hundred RT-PCR positive and HRCT documented COVID-19 pneumonia patients each from first wave (June 2020-December 2020) and second wave (March 2021-May 2021) were selected. The results were evaluated in terms of age groups affected, gender wise distribution, and CT severity score on HRCT. The final conclusion was done by comparing these variables from first wave with the ones during the second wave and inferences drawn upon thereof. Results: During the first wave, majority of the population involved belonged to more than 45 years category whereas during the second wave majority belonged to the 18-45 years category. Further, the severity of the disease was more during the second wave than the first wave with more males being affected than females in both the waves. Conclusion: Second COVID-19 wave in India was more severe than the first wave in terms of the number of patients affected as well as the severity of the pneumonia in the involved patients, likely due to continuously mutating variants of the virus & lifting up of the restrictions.

3.
JK Science ; 25(1):30-34, 2023.
Article in English | ProQuest Central | ID: covidwho-2168435

ABSTRACT

[...]COVID-19 wave in India was more severe than the first wave in terms of the number of patients affected as well as the severity of the pneumonia in the involved patients, likely due to continuously mutating variants ofthe virus & lifting up of the restrictions. [1] The diagnosis of this disease depends upon the real-time reverse transcriptase polymerase chain reaction . The CT manifestations of the COVID-19 pneumonia include multifocal ground glass and consolidative opacities in a peripheral distribution with predominantly apicobasal gradient . [6,7] Material and Methods A cross sectional study was conducted among the patients who had documented RT-PCR positive and CT documented COVID-19 pneumonia admitted in Chest Diseases Hospital of GMC, Jammu.

4.
researchsquare; 2022.
Preprint in English | PREPRINT-RESEARCHSQUARE | ID: ppzbmed-10.21203.rs.3.rs-1563134.v1

ABSTRACT

Deep learning is very effectively used in the medical field to predict diseases such as pneumonia classification , cancer, and so on. Convolutional Neural Network (CNN) is used to classify the chest X-rays of humans in normal and COVID-19 infected cases. To build a model, pre-trained models and transfer learning is used. In this paper, four pre-trained models VGG16, VGG19, ResNet50, and InceptionV3 are ensemble and build a new ensemble model. To train and test a model, a dataset of as many as 720 X-ray images has been used. Less number of images makes us apply image augmentation. The ensemble models such as VGG19 and ResNet50, VGG16 and ResNet50, VGG16 and InceptionV3, and VGG19 and InceptionV3 yield 96.53%, 98.61%, 99.31%, and 100% accuracy respectively.

5.
School Psychology International ; : 01430343221080782, 2022.
Article in English | Sage | ID: covidwho-1714545

ABSTRACT

We report on the process of planning, adapting, and implementing a brief, instrumental, school-based mentoring curriculum originally developed in the United States, in three cities in India. India has the world?s largest population of young adults aged 10-24 years, a developmental period associated with heightened psychosocial stressors and the onset of mental health issues, as well as a dire shortage of mental health professionals. Moving services that are typically provided by highly skilled professionals to individuals with fewer credentials or less formal training (e.g., from psychologists to mentors) can increase access to adolescent mental health services. Yet, transferring programs internationally is accompanied by unique barriers including cultural differences, and should be guided by an established framework. In this paper, we discuss the formation of a research-practice partnership designed to generate applied knowledge through emic cultural perspectives. We describe each stage of the program adaptation process within the Cultural Adaptation Framework ( Fendt-Newlin et al., 2020), including our decisions to strategically adjust, remove, or retain content from the original mentoring intervention. Although program delivery was prematurely discontinued due to the COVID-19 pandemic, we provide a brief synopsis of lessons learned through the international partnership.

6.
medrxiv; 2020.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2020.09.03.20187294

ABSTRACT

Loss of smell function (Anosmia) is reported to be associated with novel coronavirus disease 2019 (COVID-19) infection. The present study was designed to evaluate the effectiveness of an indigenously developed prototype smell test to identify/diagnose asymptomatic COVID-19 positive individuals. A panel of five different odorants belonging to Indian household with unique and mutually exclusive odor were used to develop prototype kit to test the hypothesis. The developed prototype kit was tested at 2 centers (N=49 and 34) with slight modifications. Simultaneously, the kit was also tested on 55 (N=35 and 20) healthy controls. Our results indicate that otherwise asymptomatic COVID-19 positive individuals were having quantifiable deficit in smell sensation. Interestingly, the variable sensitivity of different odorants was observed in different patients. None of the healthy controls reported difficulty in sensing any of the odorant, whereas, some of healthy controls did misidentify the odorants. Overall, the present study provides a preliminary data that loss in smell sensation for various odorants can be exploited as a quick and affordable screening test to identify infected cases among at risk individuals.

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