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  1. Article ; Online: Radiation Risk in Interventional Echocardiography: Yet Another Barrier for Women in Cardiology.

    Quader, Nishath / Jain, Renuka

    Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography

    2024  

    Language English
    Publishing date 2024-04-07
    Publishing country United States
    Document type Letter
    ZDB-ID 1035622-8
    ISSN 1097-6795 ; 0894-7317
    ISSN (online) 1097-6795
    ISSN 0894-7317
    DOI 10.1016/j.echo.2024.03.020
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Rethinking the Management of Asymptomatic Severe Aortic Valve Stenosis: Embracing Early Intervention for Better Outcomes.

    Zidan, Amjed / Jain, Renuka

    Texas Heart Institute journal

    2023  Volume 51, Issue 1

    MeSH term(s) Humans ; Aortic Valve Stenosis/diagnosis ; Aortic Valve Stenosis/surgery ; Aortic Valve/diagnostic imaging ; Aortic Valve/surgery ; Transcatheter Aortic Valve Replacement ; Treatment Outcome ; Risk Factors ; Heart Valve Prosthesis
    Language English
    Publishing date 2023-05-08
    Publishing country United States
    Document type Journal Article
    ZDB-ID 604761-0
    ISSN 1526-6702 ; 0730-2347
    ISSN (online) 1526-6702
    ISSN 0730-2347
    DOI 10.14503/THIJ-23-8295
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Listen to the heart or mind first? Examining sequential coping mechanisms among Indians during the COVID-19 pandemic.

    Srivastava, Sanchita / Upadhaya, Puja / Jain, Renuka

    Frontiers in psychology

    2023  Volume 14, Page(s) 1104973

    Abstract: The present study examines the mediating role of emotion-focused and problem-focused coping between stress and psychological well-being during the COVID-19 pandemic. The sample comprised 501 (312 women and 184 men aged between 18 and 42) Indians who ... ...

    Abstract The present study examines the mediating role of emotion-focused and problem-focused coping between stress and psychological well-being during the COVID-19 pandemic. The sample comprised 501 (312 women and 184 men aged between 18 and 42) Indians who experienced the first-ever continued lockdown in India during the COVID-19 pandemic. The results of this study confirmed the presence of perceived stress due to the lockdown and pandemic among participants. Furthermore, perceived stress, coping including emotion-focused and problem-focused, and psychological well-being were found to be interrelated. The serial mediation analysis revealed that participants dealt with stress by choosing emotion-focused coping first as an immediate resort. After a reappraisal of stress-inducing situations, they used problem-focused coping, and this sequence of constant coping mechanisms helped maintain their psychological well-being. The findings of this study can be applied to develop strategies for people's mental health by public health organizations and health professionals.
    Language English
    Publishing date 2023-03-01
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2563826-9
    ISSN 1664-1078
    ISSN 1664-1078
    DOI 10.3389/fpsyg.2023.1104973
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Radiation Exposure to the Interventional Echocardiographers and Sonographers: A Call to Action.

    Garcia-Sayan, Enrique / Jain, Renuka / Wessly, Priscilla / Mackensen, G Burkhard / Johnson, Brianna / Quader, Nishath

    Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography

    2024  

    Abstract: Interventional echocardiography is a rapidly growing field within the disciplines of cardiology and anesthesiology, with the rise of advanced transcatheter procedures making skilled imagers more important than ever. However, these procedures also involve ...

    Abstract Interventional echocardiography is a rapidly growing field within the disciplines of cardiology and anesthesiology, with the rise of advanced transcatheter procedures making skilled imagers more important than ever. However, these procedures also involve frequent manipulation of the transesophageal echocardiography probe, which means interventional echocardiographers (IEs) are at risk of long-term occupational radiation exposure. Studies have shown that radiation exposure is linked to various health issues, including cancer, cataracts, hypertension, hyperlipidemia, endothelial dysfunction, vascular aging, and early atherosclerosis. While there is increasing awareness of the occupational radiation dose limits and the need for better shielding methods, the importance of radiation safety for the IE is still not sufficiently prioritized in most cardiac catheterization laboratories/hybrid operating rooms. This is partly due to a paucity of studies looking at long-term radiation exposure to the IE, as this field is newer than that of interventional cardiologists.
    Language English
    Publishing date 2024-03-13
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1035622-8
    ISSN 1097-6795 ; 0894-7317
    ISSN (online) 1097-6795
    ISSN 0894-7317
    DOI 10.1016/j.echo.2024.03.002
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Using the Electronic Medical Record to Transform Care for Severe Aortic Stenosis.

    Jain, Renuka / Khandheria, Bijoy K

    Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography

    2020  Volume 33, Issue 9, Page(s) 1159–1160

    MeSH term(s) Aortic Valve Stenosis/diagnostic imaging ; Aortic Valve Stenosis/surgery ; Echocardiography ; Electronic Health Records ; Humans
    Language English
    Publishing date 2020-07-12
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 1035622-8
    ISSN 1097-6795 ; 0894-7317
    ISSN (online) 1097-6795
    ISSN 0894-7317
    DOI 10.1016/j.echo.2020.06.006
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Myocardial Work in Aortic Regurgitation: It Also Works!

    Jain, Renuka / Galazka, Patrycja / Khandheria, Bijoy K / Tajik, A Jamil

    Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography

    2022  Volume 35, Issue 7, Page(s) 712–714

    MeSH term(s) Aortic Valve Insufficiency/diagnostic imaging ; Heart Ventricles ; Humans ; Myocardium
    Language English
    Publishing date 2022-04-06
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 1035622-8
    ISSN 1097-6795 ; 0894-7317
    ISSN (online) 1097-6795
    ISSN 0894-7317
    DOI 10.1016/j.echo.2022.03.020
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Myocardial Work in Aortic Stenosis: It Does Work!

    Jain, Renuka / Khandheria, Bijoy K / Tajik, A Jamil

    Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography

    2021  Volume 34, Issue 3, Page(s) 267–269

    MeSH term(s) Aortic Valve Stenosis/diagnostic imaging ; Humans ; Myocardium
    Language English
    Publishing date 2021-01-04
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 1035622-8
    ISSN 1097-6795 ; 0894-7317
    ISSN (online) 1097-6795
    ISSN 0894-7317
    DOI 10.1016/j.echo.2020.12.020
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Screening for Transcatheter Interventions by Echocardiography: A Comparison of Three-Dimensional Mitral Annulus Quantification in Transthoracic Echocardiography and Cardiac Computed Tomography.

    Peters, Matthew / Tanel, Emily / Marzlin, Nathan / Kroboth, Stacie / Kanani, Jim / Bajwa, Tanvir K / Allaqaband, Suhail Q / Johnson, Brianna / Weiss, Eric S / Harland, Daniel / Jain, Renuka

    Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography

    2024  

    Language English
    Publishing date 2024-03-30
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1035622-8
    ISSN 1097-6795 ; 0894-7317
    ISSN (online) 1097-6795
    ISSN 0894-7317
    DOI 10.1016/j.echo.2024.03.016
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: RFFE – Random Forest Fuzzy Entropy for the classification of Diabetes Mellitus

    A. Usha Ruby / J George Chellin Chandran / TJ Swasthika Jain / BN Chaithanya / Renuka Patil

    AIMS Public Health, Vol 10, Iss 2, Pp 422-

    2023  Volume 442

    Abstract: Diabetes is a category of metabolic disease commonly known as a chronic illness. It causes the body to generate less insulin and raises blood sugar levels, leading to various issues and disrupting the functioning of organs, including the retinal, kidney ... ...

    Abstract Diabetes is a category of metabolic disease commonly known as a chronic illness. It causes the body to generate less insulin and raises blood sugar levels, leading to various issues and disrupting the functioning of organs, including the retinal, kidney and nerves. To prevent this, people with chronic illnesses require lifetime access to treatment. As a result, early diabetes detection is essential and might save many lives. Diagnosis of people at high risk of developing diabetes is utilized for preventing the disease in various aspects. This article presents a chronic illness prediction prototype based on a person's risk feature data to provide an early prediction for diabetes with Fuzzy Entropy random vectors that regulate the development of each tree in the Random Forest. The proposed prototype consists of data imputation, data sampling, feature selection, and various techniques to predict the disease, such as Fuzzy Entropy, Synthetic Minority Oversampling Technique (SMOTE), Convolutional Neural Network (CNN) with Stochastic Gradient Descent with Momentum (SGDM), Support Vector Machines (SVM), Classification and Regression Tree (CART), K-Nearest Neighbor (KNN), and Naïve Bayes (NB). This study uses the existing Pima Indian Diabetes (PID) dataset for diabetic disease prediction. The predictions' true/false positive/negative rate is investigated using the confusion matrix and the receiver operating characteristic area under the curve (ROCAUC). Findings on a PID dataset are compared with machine learning algorithms revealing that the proposed Random Forest Fuzzy Entropy (RFFE) is a valuable approach for diabetes prediction, with an accuracy of 98 percent.
    Keywords diabetes diseases ; fuzzy entropy ; machine learning ; synthetic gradient descent technique ; Public aspects of medicine ; RA1-1270
    Subject code 006
    Language English
    Publishing date 2023-05-01T00:00:00Z
    Publisher AIMS Press
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: Microplastic pollution: Understanding microbial degradation and strategies for pollutant reduction.

    Jain, Rajul / Gaur, Ashish / Suravajhala, Renuka / Chauhan, Uttra / Pant, Manu / Tripathi, Vishal / Pant, Gaurav

    The Science of the total environment

    2023  Volume 905, Page(s) 167098

    Abstract: Microplastics are ubiquitous environmental pollutants with the potential for adverse impacts on ecosystems and human health. These particles originate from the fragmentation of larger plastic items, shedding from synthetic fibers, tire abrasions, and ... ...

    Abstract Microplastics are ubiquitous environmental pollutants with the potential for adverse impacts on ecosystems and human health. These particles originate from the fragmentation of larger plastic items, shedding from synthetic fibers, tire abrasions, and direct release from personal care products and industrial processes. Once released into the environment, microplastics can disrupt ecosystems, accumulate in organisms, cause physical harm, and carry chemical pollutants that pose risks to both wildlife and human health. There is an urgent need to comprehensively explore the multifaceted issue of microplastic pollution and understand microbial degradation to reduce environmental pollution caused by microplastics. This paper presents a comprehensive exploration of microplastics, including their types, composition, advantages, and disadvantages, as well as the journey and evolution of microplastic pollution. The impact of microplastics on the microbiome and microbial communities is elucidated, highlighting the intricate interactions between microplastics and microbial ecosystems. Furthermore, the microbial degradation of microplastics is discussed, including the identification, characterization, and culturing methods of microplastic-degrading microorganisms. Mechanisms of microplastic degradation and the involvement of microbial enzymes are elucidated to shed light on potential biotechnological applications. Strategies for reducing microplastic pollution are presented, encompassing policy recommendations and the importance of enhanced waste management practices. Finally, the paper addresses future challenges and prospects in the field, emphasizing the need for international collaboration, research advancements, and public engagement. Overall, this study underscores the urgent need for concerted efforts to mitigate microplastic pollution and offers valuable insights for researchers, policymakers, and stakeholders involved in environmental preservation.
    MeSH term(s) Humans ; Microplastics ; Plastics/chemistry ; Environmental Pollutants ; Ecosystem ; Water Pollutants, Chemical/analysis ; Environmental Pollution ; Microbiota ; Environmental Monitoring
    Chemical Substances Microplastics ; Plastics ; Environmental Pollutants ; Water Pollutants, Chemical
    Language English
    Publishing date 2023-09-17
    Publishing country Netherlands
    Document type Journal Article ; Review
    ZDB-ID 121506-1
    ISSN 1879-1026 ; 0048-9697
    ISSN (online) 1879-1026
    ISSN 0048-9697
    DOI 10.1016/j.scitotenv.2023.167098
    Database MEDical Literature Analysis and Retrieval System OnLINE

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