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  1. AU="Patwa, Ajay K"
  2. AU=Mastaglia F L
  3. AU="De Croock, Femke"
  4. AU=Robinson Michael J
  5. AU=Singh Romil
  6. AU="Martin, S J"
  7. AU="Szendrői, Miklós"
  8. AU="Moncel, Marie-Hélène"
  9. AU=Otu Akaninyene AU=Otu Akaninyene
  10. AU="Chiba, Kentaro"
  11. AU="Zhou, Jihua"
  12. AU="Ronald Bartels"
  13. AU="Liñares, J"
  14. AU="Valle, Valentina"
  15. AU="Tóth, András"
  16. AU="Pawar, Atul Darasing"
  17. AU="Semper, Chelsea"
  18. AU="Kraus, Joanne F"

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  1. Artikel: Public interest should be given priority over economic calculation.

    Gupta, Harish / Verma, Sudhir K / Nigam, Nitu / Patwa, Ajay K

    Journal of family medicine and primary care

    2022  Band 11, Heft 9, Seite(n) 5708–5709

    Sprache Englisch
    Erscheinungsdatum 2022-10-14
    Erscheinungsland India
    Dokumenttyp Journal Article
    ZDB-ID 2735275-4
    ISSN 2278-7135 ; 2249-4863
    ISSN (online) 2278-7135
    ISSN 2249-4863
    DOI 10.4103/jfmpc.jfmpc_732_21
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  2. Artikel: Healthcare workers need considerate behaviour.

    Gupta, Harish / Patwa, Ajay K / Nigam, Nitu / Verma, Sudhir K

    Journal of family medicine and primary care

    2022  Band 11, Heft 8, Seite(n) 4894–4895

    Sprache Englisch
    Erscheinungsdatum 2022-08-30
    Erscheinungsland India
    Dokumenttyp Journal Article
    ZDB-ID 2735275-4
    ISSN 2278-7135 ; 2249-4863
    ISSN (online) 2278-7135
    ISSN 2249-4863
    DOI 10.4103/jfmpc.jfmpc_464_21
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  3. Artikel: When doctors as well as bureaucrats work together!

    Gupta, Harish / Nigam, Nitu / Patwa, Ajay K / Verma, Sudhir K

    Journal of family medicine and primary care

    2022  Band 11, Heft 6, Seite(n) 3374–3375

    Sprache Englisch
    Erscheinungsdatum 2022-06-30
    Erscheinungsland India
    Dokumenttyp Journal Article
    ZDB-ID 2735275-4
    ISSN 2278-7135 ; 2249-4863
    ISSN (online) 2278-7135
    ISSN 2249-4863
    DOI 10.4103/jfmpc.jfmpc_419_21
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  4. Artikel: On aerosol transmission of SARS-CoV-2.

    Gupta, Harish / Patwa, Ajay K / Nigam, Nitu / Kumar, Satish

    Journal of family medicine and primary care

    2021  Band 10, Heft 8, Seite(n) 3161–3162

    Sprache Englisch
    Erscheinungsdatum 2021-08-27
    Erscheinungsland India
    Dokumenttyp Journal Article
    ZDB-ID 2735275-4
    ISSN 2278-7135 ; 2249-4863
    ISSN (online) 2278-7135
    ISSN 2249-4863
    DOI 10.4103/jfmpc.jfmpc_695_21
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  5. Artikel: Solutions for increasing institutional deliveries.

    Gupta, Harish / Patwa, Ajay K / Kumar, Satish / Kumar, Amit

    Journal of family medicine and primary care

    2021  Band 10, Heft 12, Seite(n) 4613–4614

    Sprache Englisch
    Erscheinungsdatum 2021-12-27
    Erscheinungsland India
    Dokumenttyp Journal Article
    ZDB-ID 2735275-4
    ISSN 2278-7135 ; 2249-4863
    ISSN (online) 2278-7135
    ISSN 2249-4863
    DOI 10.4103/jfmpc.jfmpc_1025_21
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  6. Artikel: Transmission data of Covid 19- Lessons of diamond princess cruise ship event.

    Gupta, Harish / Patwa, Ajay K / Kumar, Satish / Gupta, Amit

    Journal of family medicine and primary care

    2021  Band 10, Heft 12, Seite(n) 4611–4612

    Sprache Englisch
    Erscheinungsdatum 2021-12-27
    Erscheinungsland India
    Dokumenttyp Journal Article
    ZDB-ID 2735275-4
    ISSN 2278-7135 ; 2249-4863
    ISSN (online) 2278-7135
    ISSN 2249-4863
    DOI 10.4103/jfmpc.jfmpc_1337_21
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  7. Artikel: Measuring impact of Covid-19 pandemic at a teaching hospital in north India.

    Gupta, Harish / Patwa, Ajay K / Kumar, Satish / Atam, Virendra / Vidyarthi, Vikas C / Nigam, Nitu

    Journal of family medicine and primary care

    2022  Band 11, Heft 11, Seite(n) 7191–7195

    Abstract: Introduction: Government runs teaching hospitals to impart a high-quality medical education to budding medicos and paramedical students in training. The experiences these trainees at various tenure positions get then and there shape their worldview for ... ...

    Abstract Introduction: Government runs teaching hospitals to impart a high-quality medical education to budding medicos and paramedical students in training. The experiences these trainees at various tenure positions get then and there shape their worldview for rest of the life and have an indelible impression. The Covid-19 pandemic disrupted all the routines at the hospitals around the world-including ours-and we make an attempt to measure it in one dimension in this study.
    Materials and methods: We obtained attendance data of patients at out patient department and in patient department of our hospital. During the pandemic for a certain duration offline (physical) registrations were closed and they were attended only by online ones. Hence that data (actually a part of it) got captured electronically and we analyzed it to get an idea of the traversed course of the scourge.
    Results: When the pandemic surged during the spring and summer of 2021, our hospital was turned into a Covid facility. Hence average routine attendance of patients got reduced to a significant extent, elective surgeries/interventions and procedures were postponed and this data is reflected in an electronic system, perhaps making a long-lasting effect on the budding trainees. This fact needs to be realized so as to take appropriate action.
    Conclusion: We need to realize that the effects of the viral communicable disease may be enduring, not only for the infected patients and their families but also for those who learn on those patients. Therefore, the transmissible diseases disabled not only our society, economy, and health care services when they ascended but pedagogy too. Online learning came to rescue but only up to a certain extent and with several caveats and limitations.
    Sprache Englisch
    Erscheinungsdatum 2022-12-16
    Erscheinungsland India
    Dokumenttyp Journal Article
    ZDB-ID 2735275-4
    ISSN 2278-7135 ; 2249-4863
    ISSN (online) 2278-7135
    ISSN 2249-4863
    DOI 10.4103/jfmpc.jfmpc_946_22
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  8. Artikel: Analysis of Government website for web-registration to assess pattern of the Covid pandemic.

    Gupta, Harish / Verma, Sudhir K / Gautam, Medhavi / Kumar, Satish / Patwa, Ajay K / Nigam, Nitu

    Journal of family medicine and primary care

    2022  Band 11, Heft 6, Seite(n) 2890–2895

    Abstract: Introduction: Covid-19 is an unprecedented challenge in our times leaving a trail of destruction and mayhem affecting almost all of us during the last 2 years. Various data sources are available around the globe to measure its impact using various ... ...

    Abstract Introduction: Covid-19 is an unprecedented challenge in our times leaving a trail of destruction and mayhem affecting almost all of us during the last 2 years. Various data sources are available around the globe to measure its impact using various yardsticks.
    Material and methods: By carefully looking at data available at the website maintained by Government of India, we can draw some useful conclusions.
    Results: There is a dip in the number of online registrations at our hospital coinciding with second wave and resultant lockdown.
    Conclusion: Tracing digital footprints of an event as huge as the Covid pandemic may help us for future planning when we learn its lessons well.
    Sprache Englisch
    Erscheinungsdatum 2022-06-30
    Erscheinungsland India
    Dokumenttyp Journal Article
    ZDB-ID 2735275-4
    ISSN 2278-7135 ; 2249-4863
    ISSN (online) 2278-7135
    ISSN 2249-4863
    DOI 10.4103/jfmpc.jfmpc_2185_21
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  9. Artikel: The Severity of COVID 19 Pneumonia in Vaccinated vs. Non-vaccinated Patients in the Second Wave: An Experience From a Tertiary Care Center in India.

    Bajpai, Jyoti / Kant, Surya / Verma, Ajay / Patwa, Ajay K / Atam, Virendra / Chaudhary, Shyam C / Pandey, Anuj

    Cureus

    2022  Band 14, Heft 5, Seite(n) e25378

    Abstract: Background: Coronavirus disease 2019 (COVID-19) is a novel infectious disease caused by SARS CoV-2 that emerged in Wuhan, China, and has rapidly spread worldwide. The mortality rate of critically ill COVID-19 patients is high.: Objective: To assess ... ...

    Abstract Background: Coronavirus disease 2019 (COVID-19) is a novel infectious disease caused by SARS CoV-2 that emerged in Wuhan, China, and has rapidly spread worldwide. The mortality rate of critically ill COVID-19 patients is high.
    Objective: To assess the severity, different clinical symptoms, and comorbidities of COVID-19 pneumonia in vaccinated vs. non-vaccinated patients.
    Methods: In this single-center, cross-sectional study, 142 patients with COVID-19 were enrolled. The clinical characteristics, comorbidities, severity, and outcomes were also assessed.
    Results: Of the 142 patients, 92 (64.8%) were males, with a mean age of (56.00±14.81) years. Among them, 62 (43.7%) were aged above 60 years. Of these, 92 (64.7%) had comorbidities. The patients were divided into two groups: unvaccinated and those who received at least one dose of the vaccine within six months. The demographic characteristics of the two groups were similar except for gender. In the vaccinated group, most of the patients were males. Most patients in the non-vaccinated group had a severe illness, whereas most patients in the vaccinated group had mild to moderate disease. Only 26% of the vaccinated group experienced severe illness compared to 71.5% in the unvaccinated group. In addition, the all-cause 30-day mortality in the non-vaccinated population was higher than that in the vaccinated population. However, this difference was not statistically significant (12.5% vs. 7.1%). On the contrary, there was no difference in the length of the intensive care unit or total hospital stay between the two groups.
    Conclusion: Severe COVID-19 had the worst outcome in the unvaccinated patients. Most partially vaccinated patients got infected before developing immunity, and a small percentage of completely immunized patients who were infected were likely non-responders. Receiving at least one vaccination dose significantly reduced illness severity.
    Sprache Englisch
    Erscheinungsdatum 2022-05-26
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ZDB-ID 2747273-5
    ISSN 2168-8184
    ISSN 2168-8184
    DOI 10.7759/cureus.25378
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  10. Artikel: KGHeBTA (King George's Medical University Hepatitis B Therapeutic Algorithm): A New Diagnostic and Therapeutic Algorithm and Clinico-epidemiological Spectrum of Hepatitis B.

    Patwa, Ajay K / Amardeep / Atam, Virendra / Mishra, Pratishtha / Rungta, Sumit / Gangwar, Anil / Yadav, Ankur / Gupta, Kamlesh K / Agrawal, Bhaskar / Verma, Sanjeev K / Goel, Amit

    Journal of clinical and experimental hepatology

    2023  Band 13, Heft 4, Seite(n) 629–637

    Abstract: Background: Diagnostic and therapeutic algorithms given by various societies for hepatitis B are fragmented and complex. The clinico-epidemiologic spectrum of hepatitis B is not studied with large-scale data from our region. We aimed to develop a ... ...

    Abstract Background: Diagnostic and therapeutic algorithms given by various societies for hepatitis B are fragmented and complex. The clinico-epidemiologic spectrum of hepatitis B is not studied with large-scale data from our region. We aimed to develop a comprehensive algorithm for the treatment of hepatitis B and study its clinico-epidemiological spectrum.
    Methods: From 2014-2019, the clinico-laboratory data of hepatitis B surface antigen (HbsAg)-positive patients were prospectively recorded. King George's Medical University hepatitis B therapeutic algorithm (KGHeBTA) was developed on the basis of the standard existing guidelines. The prevalence of different clinical stages of HBsAg-positive patients was calculated and their treatment records reviewed. Testing circumstances and risk factors were noted.
    Results: Among 1,508 data record sheets, 421 were complete. According to the KGHeBTA algorithm, 221 had detectable hepatitis B virus DNA. 21% were cirrhotic and 79% non-cirrhotic. 72% were incidentally detected asymptomatic hepatitis B, 7% were hepatitis B with acute symptoms, 0.7% were acute hepatitis B, and 22% were chronic hepatitis B. 20% patients were eligible for antivirals and 80% patients were not eligible. 32% patients were actually treated with antivirals due to the inclusion of some special indications as pregnancy and family history. Screening during various medical illnesses (40%) was the most common and during health camps (0.2%), the least common testing approach. Road-side shaving (52%) was the most common and intravenous drug abuse (0.2%) and the least common risk factor for the detection of hepatitis B in our data pool.
    Conclusions: HBsAg-positive patients can be easily worked up and treated based on the proposed algorithm (KGHeBTA). About one fourth to one fifth of all HBsAg-positive patients were eligible and treated with oral antivirals. Most of the patients were incidentally detected asymptomatic hepatitis B screened during medical illnesses. Roadside shaving and intravenous drug abuse were the most and the least common risk factors.
    Sprache Englisch
    Erscheinungsdatum 2023-03-03
    Erscheinungsland India
    Dokumenttyp Journal Article
    ISSN 0973-6883
    ISSN 0973-6883
    DOI 10.1016/j.jceh.2023.02.007
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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