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  1. Article ; Online: Ramadan and COVID-19: A Challenge amongst Challenges.

    Asfahan, Shahir / Chawla, Gopal / Dutt, Naveen

    Turkish thoracic journal

    2020  Volume 21, Issue 4, Page(s) 285–286

    Keywords covid19
    Language English
    Publishing date 2020-06-10
    Publishing country Turkey
    Document type Letter
    ISSN 2149-2530
    ISSN (online) 2149-2530
    DOI 10.5152/TurkThoracJ.2020.20076
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  2. Article: Artificial intelligence in the practice of pulmonology: The future is now.

    Chauhan, Nishant Kumar / Asfahan, Shahir / Dutt, Naveen / Jalandra, Ram Niwas

    Lung India : official organ of Indian Chest Society

    2021  Volume 39, Issue 1, Page(s) 1–2

    Language English
    Publishing date 2021-12-23
    Publishing country India
    Document type Editorial
    ZDB-ID 2410801-7
    ISSN 0974-598X ; 0970-2113
    ISSN (online) 0974-598X
    ISSN 0970-2113
    DOI 10.4103/lungindia.lungindia_692_21
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  4. Article: Assessing the accuracy of pleural puncture sites in patients with pleural effusion as determined by clinical examination versus ultrasound-A single-centre prospective study.

    Asfahan, Shahir / Tandon, Abhishek / Chauhan, Nishant K / Jalandra, Ram N / Garg, Mahendra K / Bohra, Gopal K / Garg, Pawan K / Bajpai, Nitin K / Bajad, Pradeep / Babu, Avinash / Dutt, Naveen

    Lung India : official organ of Indian Chest Society

    2024  Volume 41, Issue 2, Page(s) 98–102

    Abstract: Introduction: This study aimed to ascertain the accuracy of clinical examination for the determination of pleural puncture sites as compared to the use of ultrasonography in patients with pleural effusion.: Material and methods: A single-centre, ... ...

    Abstract Introduction: This study aimed to ascertain the accuracy of clinical examination for the determination of pleural puncture sites as compared to the use of ultrasonography in patients with pleural effusion.
    Material and methods: A single-centre, prospective, observational study was carried out amongst 115 patients with pleural effusion in a tertiary care hospital in western India. Patients were subjected to clinical assessment for determination of pleural puncture sites and the same were confirmed with ultrasonography. All physicians were blinded to the marking of the previous physician to prevent any influence on their assessment.
    Results: The study had 345 physician observations. The overall accuracy of the clinical examination was 94.8%. Multivariate logistic regression of the factors responsible for the accuracy of clinical examination demonstrated a significant role of higher body mass index (BMI) (OR-1.19) and lower zone pleural effusions (OR-4.99) when adjusted for age, gender, side of effusion, and experience of examining doctors. When the effusions were classified according to their location, lower zone pleural effusions and loculated pleural effusions had an error rate of 15.9% and 8.33%, respectively.
    Conclusion: An ultrasound is the standard of care to assess all pleural effusions and guide the best point for aspiration.
    Language English
    Publishing date 2024-02-27
    Publishing country India
    Document type Journal Article
    ZDB-ID 2410801-7
    ISSN 0974-598X ; 0970-2113
    ISSN (online) 0974-598X
    ISSN 0970-2113
    DOI 10.4103/lungindia.lungindia_270_23
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  5. Article ; Online: Digital-Rapid On-site Examination in Endobronchial Ultrasound-Guided Transbronchial Needle Aspiration (DEBUT): a proof of concept study for the application of artificial intelligence in the bronchoscopy suite.

    Asfahan, Shahir / Elhence, Poonam / Dutt, Naveen / Niwas Jalandra, Ram / Chauhan, Nishant Kumar

    The European respiratory journal

    2021  Volume 58, Issue 4

    MeSH term(s) Artificial Intelligence ; Bronchoscopy ; Endoscopic Ultrasound-Guided Fine Needle Aspiration ; Humans ; Lung Neoplasms/diagnostic imaging ; Lymph Nodes/diagnostic imaging ; Mediastinum/diagnostic imaging ; Proof of Concept Study
    Language English
    Publishing date 2021-10-14
    Publishing country England
    Document type Letter
    ZDB-ID 639359-7
    ISSN 1399-3003 ; 0903-1936
    ISSN (online) 1399-3003
    ISSN 0903-1936
    DOI 10.1183/13993003.00915-2021
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    In stock of ZB MED Cologne/Königswinter

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  6. Article: Recurrent pneumothorax, skin lesions and frequent urination.

    Deokar, Kunal / Niwas, Ram / Chauhan, Nishant / Dutt, Naveen / Jain, Priyank / Asfahan, Shahir / Kumawat, Rajani

    Breathe (Sheffield, England)

    2020  Volume 16, Issue 1, Page(s) 190318

    Abstract: The causes of cystic lung diseases are varied. Proper evaluation is required for appropriate management. ...

    Abstract The causes of cystic lung diseases are varied. Proper evaluation is required for appropriate management.
    Language English
    Publishing date 2020-01-24
    Publishing country England
    Document type Journal Article
    ZDB-ID 2562899-9
    ISSN 2073-4735 ; 1810-6838
    ISSN (online) 2073-4735
    ISSN 1810-6838
    DOI 10.1183/20734735.0318-2019
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  7. Article: Air flow limitation in smokers - A cause of concern.

    Kumar, Naresh / Chawla, Gopal / Kansal, Amrit Pal / Deokar, Kunal / Niwas, Ram / Abrol, Nupur / Asfahan, Shahir / Garg, Sakshi / Keena, Monika

    Journal of family medicine and primary care

    2022  Volume 11, Issue 11, Page(s) 6807–6811

    Abstract: Introduction: In India smoking is a common habit prevalent in both urban and rural areas irrespective of mode of smoking i.e., cigarettes, bidis, pipes, cigar, hookah etc., Spirometry can be helpful to determine effects of smoking on pulmonary functions. ...

    Abstract Introduction: In India smoking is a common habit prevalent in both urban and rural areas irrespective of mode of smoking i.e., cigarettes, bidis, pipes, cigar, hookah etc., Spirometry can be helpful to determine effects of smoking on pulmonary functions. We aimed to study the effect of smoking on the pulmonary function tests.
    Materials and methods: This study was conducted on 300 subjects including 150 smokers and 150 non-smokers aged between 25 and 60 years attending a tertiary health care center in northern part of our country. Quantification of tobacco smoking was performed by calculating smoking index. All the study subjects underwent spirometry.
    Results: All the spirometric variables (FVC, FEV1, PEFR, FEF 25-75%) were lower in smokers as compared to non-smokers and this difference was statistically significant. 76% of the smokers had obstructive, 10.7% had normal, 6.7% had restrictive, and 6.7% had mixed pattern on spirometry. 65.3% of the non-smokers had normal, 28.7% had obstructive and 6% had restrictive pattern on spirometry.
    Conclusion: Almost all the pulmonary function parameters were significantly reduced in smokers compared to non-smokers and obstructive impairment was common amongst smokers. As early quitting is associated with improved survival, it is important that these asymptomatic smokers are identified early and helped to quit. Primary care physicians being the first point of contact, can play a major role.
    Language English
    Publishing date 2022-12-16
    Publishing country India
    Document type Journal Article
    ZDB-ID 2735275-4
    ISSN 2278-7135 ; 2249-4863
    ISSN (online) 2278-7135
    ISSN 2249-4863
    DOI 10.4103/jfmpc.jfmpc_1159_20
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  8. Article: Identifying psychological antecedents and predictors of vaccine hesitancy through machine learning: A cross sectional study among chronic disease patients of deprived urban neighbourhood, India.

    Rustagi, Neeti / Choudhary, Yachana / Asfahan, Shahir / Deokar, Kunal / Jaiswal, Abhishek / Thirunavukkarasu, Prasanna / Kumar, Nitesh / Raghav, Pankaja

    Monaldi archives for chest disease = Archivio Monaldi per le malattie del torace

    2022  Volume 92, Issue 4

    Abstract: COVID-19 vaccine hesitancy among chronic disease patients can severely impact individual health with the potential to impede mass vaccination essential for containing the pandemic. The present study was done to assess the COVID-19 vaccine antecedents and ...

    Abstract COVID-19 vaccine hesitancy among chronic disease patients can severely impact individual health with the potential to impede mass vaccination essential for containing the pandemic. The present study was done to assess the COVID-19 vaccine antecedents and its predictors among chronic disease patients. This cross-sectional study was conducted among chronic disease patients availing care from a primary health facility in urban Jodhpur, Rajasthan. Factor and reliability analysis was done for the vaccine hesitancy scale to validate the 5 C scale. Predictors assessed for vaccine hesitancy were modelled with help of machine learning (ML). Out of 520 patients, the majority of participants were female (54.81%). Exploratory factor analysis revealed four psychological antecedents' "calculation"; "confidence"; "constraint" and "collective responsibility" determining 72.9% of the cumulative variance of vaccine hesitancy scale. The trained ML algorithm yielded an R2 of 0.33. Higher scores for COVID-19 health literacy and preventive behaviour, along with family support, monthly income, past COVID-19 screening, adherence to medications and age were associated with lower vaccine hesitancy. Behaviour changes communication strategies targeting COVID-19 health literacy and preventive behaviour especially among population sub-groups with poor family support, low income, higher age groups and low adherence to medicines may prove instrumental in this regard.
    MeSH term(s) Humans ; Female ; Male ; Cross-Sectional Studies ; Vaccination/psychology ; Patient Acceptance of Health Care ; Health Knowledge, Attitudes, Practice ; COVID-19 Vaccines/therapeutic use ; COVID-19/epidemiology ; COVID-19/prevention & control ; Reproducibility of Results ; Vaccination Hesitancy ; India/epidemiology ; Chronic Disease ; Machine Learning
    Chemical Substances COVID-19 Vaccines
    Language English
    Publishing date 2022-03-16
    Publishing country Italy
    Document type Journal Article
    ZDB-ID 1160940-0
    ISSN 1122-0643 ; 1120-0391
    ISSN 1122-0643 ; 1120-0391
    DOI 10.4081/monaldi.2022.2117
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    In stock of ZB MED Cologne/Königswinter

    Zs.B 65: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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  9. Article ; Online: Identifying psychological antecedents and predictors of vaccine hesitancy through machine learning

    Neeti Rustagi / Yachana Choudhary / Shahir Asfahan / Kunal Deokar / Abhishek Jaiswal / Prasanna Thirunavukkarasu / Nitesh Kumar / Pankaja Raghav

    Monaldi Archives for Chest Disease (2022)

    A cross sectional study among chronic disease patients of deprived urban neighbourhood, India

    2022  

    Abstract: COVID-19 vaccine hesitancy among chronic disease patients can severely impact individual health with the potential to impede mass vaccination essential for containing the pandemic. The present study was done to assess the COVID-19 vaccine antecedents and ...

    Abstract COVID-19 vaccine hesitancy among chronic disease patients can severely impact individual health with the potential to impede mass vaccination essential for containing the pandemic. The present study was done to assess the COVID-19 vaccine antecedents and its predictors among chronic disease patients. This cross-sectional study was conducted among chronic disease patients availing care from a primary health facility in urban Jodhpur, Rajasthan. Factor and reliability analysis was done for the vaccine hesitancy scale to validate the 5 C scale. Predictors assessed for vaccine hesitancy were modelled with help of machine learning (ML). Out of 520 patients, the majority of participants were female (54.81%). Exploratory factor analysis revealed four psychological antecedents’ “calculation”; “confidence”; “constraint” and “collective responsibility” determining 72.9% of the cumulative variance of vaccine hesitancy scale. The trained ML algorithm yielded an R2 of 0.33. Higher scores for COVID-19 health literacy and preventive behaviour, along with family support, monthly income, past COVID-19 screening, adherence to medications and age were associated with lower vaccine hesitancy. Behaviour changes communication strategies targeting COVID-19 health literacy and preventive behaviour especially among population sub-groups with poor family support, low income, higher age groups and low adherence to medicines may prove instrumental in this regard.
    Keywords Vaccine hesitancy ; COVID-19 preventive behaviour ; Machine learning ; Health literacy ; Chronic disease patients ; Medicine ; R
    Subject code 610
    Language English
    Publishing date 2022-03-01T00:00:00Z
    Publisher PAGEPress Publications
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article: Triple hit effect.

    Dixit, Ramakant / Dave, Lokendra / Gupta, Neeraj / Asfahan, Shahir

    Lung India : official organ of Indian Chest Society

    2015  Volume 32, Issue 5, Page(s) 524–526

    Language English
    Publishing date 2015-12-01
    Publishing country India
    Document type Journal Article
    ZDB-ID 2410801-7
    ISSN 0974-598X ; 0970-2113
    ISSN (online) 0974-598X
    ISSN 0970-2113
    DOI 10.4103/0970-2113.164165
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