Browsing by Author "Mukherjee, Aparna"

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    Clinical profile of hospitalized COVID-19 patients in first & second wave of the pandemic: Insights from an Indian registry based observational study
    (Wolters Kluwer Medknow Publications, 2021) Kumar, Gunjan; Mukherjee, Aparna; Sharma, Ravendra K.; Menon, Geetha R.; Sahu, Damodar; Wig, Naveet; Panda, Samiran; Rao, Vishnu Vardhan; Singh, Sujeet; Guleria, Randeep; Bhargava, Balram; Pakhare, Abhijit; Joshi, Rajnish; Bhuniya, Sourin; Panigrahi, Manoj Kumar; Bhardwaj, Pankaj; Misra, Sanjeev; Gupta, Manoj; Goel, Akhil D.; Mundadan, Netto George; Khan, Adil Rashid; Soneja, Manish; Baruah, Tridip Dutta; Kannauje, Pankaj Kumar; Kumar, Ajit; Yadhav, Kala M.L.; Kumar, Manoj; John, Mary; Mohan, Sangeetha; Patel, Amit; Madan, Surabhi; Mukherjee, Subhasis; Pal, Amitava; Banerjee, Saikat; Shah, Arti D.; Rana, Yash; Madharia, Arun; Madharia, Ankit; Bandaru, Rajiv Kumar; Mavoori, Archana; Dube, Simmi; Nahar, Nitin; Bingi, Thrilok Chander; Mesipogu, Rajarao; Aedula, Vinaya Sekhar; Panchal, Manisha; Mohammedrafiq, Mansuri Amirsohil; Upadhyay, Rashmi; Srivastava, Saurabh; Salgar, Veeresh B.; Desai, Rizwan; Kikon, Nyanthung; Kikon, Rhondemo; Sarangi, Lisa; Rath, Mahesh; Agarwal, Anup; Turuk, Alka; Sharma, Lokesh Kumar; Anand, Tanu; Bhatnagar, Tarun; Ghosh, Saumitra; Hazra, Avijit; Ray, Yogiraj; Ray, Rammohan; Patnaik, Lipilekha; Sahoo, Jagdish Prasad; Chakravarty, Jaya; Kansal, Sangeeta; Shameem, Mohammad; Fatima, Nazish; Kumar, M. Pavan; Rao, Bikshapathi; Himanshu, D.; Kumar, Amit; Dulhani, Naveen; Toppo, Amar Deepak; Sharma, Nikita; Vohra, Rajat; Kataria, Sushila; Sharma, Pooja; Talukdar, Arunansu; Dasgupta, Gargi; Desai, Anita; Nityasri, S.N.; Panchal, Yashmin; Manohar, K.; Raju, Y.S.; Pala, Star; Jamil, Md.; Katyal, V.K.; Goyal, Sandeep; Ojha, U.K.; Jha, Ravi Ranjan; Bhalla, Ashish; Puri, G.D.; Samita, S.; Suri, Vikas; Mohindra, Ritin; Pathak, Ashish; Sharma, Ashish; Khambholja, Janakkumar R.; Shah, Nehal M.; Palat, Paltial N.; Rajvansh, Kruti; Bhandari, Sudhir; Agrawal, Abhishek; Gupta, Bal Kishan; Gupta, Jigyasa; Choudhury, Ratnamala; Rao, Mangala; Chatterji, Soumyadip; Mukherjee, Sudipta
    Background & objectives: India witnessed a massive second surge of COVID-19 cases since March 2021 after a period of decline from September 2020. Data collected under the National Clinical Registry for COVID-19 (NCRC) were analysed to describe the differences in demographic and clinical features of COVID-19 patients recruited during these two successive waves. Methods: The NCRC, launched in September 2020, is an ongoing multicentre observational initiative, which provided the platform for the current investigation. Demographic, clinical, treatment and outcome data of hospitalized, confirmed COVID-19 patients were captured in an electronic data portal from 41 hospitals across India. Patients enrolled during September 1, 2020 to January 31, 2021 and February 1 to May 11, 2021 constituted participants of the two successive waves, respectively. Results: As on May 11, 2021, 18961 individuals were recruited in the registry, 12059 and 6903 reflecting in-patients from the first and second waves, respectively. Mean age of the patients was significantly lower in the second wave [48.7 (18.1) yr vs. 50.7 (18.0) yr, P<0.001] with higher proportion of patients in the younger age group intervals of <20, and 20-39 yr. Approximately 70 per cent of the admitted patients were ? 40 yr of age in both waves of the pandemic. The proportion of males were slightly lower in second wave as compared to the first [4400 (63.7%) vs. 7886 (65.4%), P=0.02]. Commonest presenting symptom was fever in both waves. In the second wave, a significantly higher proportion [2625 (48.6%) vs. 4420 (42.8%), P<0.003] complained of shortness of breath, developed ARDS [422(13%) vs. 880 (7.9%), P<0.001], required supplemental oxygen [1637 (50.3%) vs. 4771 (42.7%), P<0.001], and mechanical ventilation [260 (15.9%) vs. 530 (11.1%), P<0.001]. Mortality also significantly increased in the second wave [OR: 1.35 (95% CI: 1.19, 1.52)] in all age groups except in <20 yr. Interpretation & conclusions: The second wave of COVID-19 in India was slightly different in presentation than the first wave, with a younger demography, lesser comorbidities, and presentation with breathlessness in greater frequency. � 2021 BioMed Central Ltd.. All rights reserved.
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    Delta variant SARS-CoV-2 infections in pediatric cases during the second wave in India
    (Elsevier Ltd, 2022) Yadav, Pragya D.; Kumar, Gunjan; Mukherjee, Aparna; Nyayanit, Dimpal A.; Shete, Anita M.; Sahay, Rima R.; Kumar, Abhinendra; Majumdar, Triparna; Patil, Savita; Pandit, Priyanka; Joshi, Yash; Dudhmal, Manisha; Panda, Samiran; Sharma, Lokesh Kumar; Yadav Ml, Kala; Shastri, Jayanthi; Gangwar, Mayank; Munivenkattapa, Ashok; Potdar, Varsha; Nagamani, K.; Goyal, Kapil; Gadepalli, Ravisekhar; Thomas, Maria; Shukla, Suruchi; Nagraj, P.; Gupta, Vivek; Dalela, Gaurav; Umar, Nawaz; Patel, Sweety M.
    Background: During October 2020, Delta variant was detected for the first time in India and rampantly spread across the globe. It also led to second wave of pandemic in India which affected millions of people. However, there is limited information pertaining to the SARS-CoV-2 strain infecting the children in India. Methods: Here, we assessed the SARS-CoV-2 lineages circulating in the pediatric population of India during the second wave of the pandemic. Clinical and demographic details linked with the nasopharyngeal/oropharyngeal swabs (NPS/OPS) collected from SARS-CoV-2 cases (n = 583) aged 0�18 year and tested positive by real-time RT-PCR were retrieved from March to June 2021. Results: Symptoms were reported among 37.2% of patients and 14.8% reported to be hospitalized. The E gene CT value had significant statistical difference at the point of sample collection when compared to that observed in the sequencing laboratory. Out of these 512 sequences 372 were VOCs, 51 were VOIs. Most common lineages observed were Delta, followed by Kappa, Alpha and B.1.36, seen in 65.82%, 9.96%, 6.83% and 4.68%, respectively in the study population. Conclusion: Overall, it was observed that Delta strain was the leading cause of SARS-CoV-2 infection in Indian children during the second wave of the pandemic. We emphasize on the need of continuous genomic surveillance in SARS-CoV-2 infection even amongst children. � 2022
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    Developing Standard Treatment Workflows�way to universal healthcare in India
    (Frontiers Media SA, 2023) Grover, Ashoo; Bhargava, Balram; Srivastava, Saumya; Sharma, Lokesh Kumar; Cherian, Jerin Jose; Tandon, Nikhil; Chandershekhar, Sudha; Ofrin, Roderico H.; Bekedam, Henk; Pandhi, Deepika; Mukherjee, Aparna; Dhaliwal, Rupinder Singh; Singh, Manjula; Rajshekhar, Kavitha; Roy, Sudipto; Rasaily, Reeta; Saraf, Deepika; Kumar, Dhiraj; Parmar, Neeraj; Kabra, Sushil Kumar; Chaudhry, Dhruva; Deorari, Ashok; Tandon, Radhika; Singh, Rajdeep; Khaitan, Binod; Agrawala, Sandeep; Gupta, Sudeep; Goel, Satish Chandra; Bhansali, Anil; Dutta, Usha; Seth, Tulika; Singh, Neeta; Awasthi, Shally; Seth, Amlesh; Pandian, Jeyaraj; Jha, Vivekanand; Dwivedi, Sudhanshu Kumar; Tripathi, Reva; Thakar, Alok; Jindal, Surinder; Gangadhar, Banglore Nanjudaiah; Bajaj, Anjali; Kant, Mohan; Chatterjee, Aniket
    Primary healthcare caters to nearly 70% of the population in India and provides treatment for approximately 80�90% of common conditions. To achieve universal health coverage (UHC), the Indian healthcare system is gearing up by initiating several schemes such as National Health Protection Scheme, Ayushman Bharat, Nutrition Supplementation Schemes, and Inderdhanush Schemes. The healthcare delivery system is facing challenges such as irrational use of medicines, over- and under-diagnosis, high out-of-pocket expenditure, lack of targeted attention to preventive and promotive health services, and poor referral mechanisms. Healthcare providers are unable to keep pace with the volume of growing new scientific evidence and rising healthcare costs as the literature is not published at the same pace. In addition, there is a lack of common standard treatment guidelines, workflows, and reference manuals from the Government of India. Indian Council of Medical Research in collaboration with the National Health Authority, Govt. of India, and the WHO India country office has developed Standard Treatment Workflows (STWs) with the objective to be utilized at various levels of healthcare starting from primary to tertiary level care. A systematic approach was adopted to formulate the STWs. An advisory committee was constituted for planning and oversight of the process. Specialty experts' group for each specialty comprised of clinicians working at government and private medical colleges and hospitals. The expert groups prioritized the topics through extensive literature searches and meeting with different stakeholders. Then, the contents of each STW were finalized in the form of single-pager infographics. These STWs were further reviewed by an editorial committee before publication. Presently, 125 STWs pertaining to 23 specialties have been developed. It needs to be ensured that STWs are implemented effectively at all levels and ensure quality healthcare at an affordable cost as part of UHC. Copyright � 2023 Grover, Bhargava, Srivastava, Sharma, Cherian, Tandon, Chandershekhar, Ofrin, Bekedam, Pandhi, Mukherjee, Dhaliwal, Singh, Rajshekhar, Roy, Rasaily, Saraf, Kumar, Parmar, Kabra, Chaudhry, Deorari, Tandon, Singh, Khaitan, Agrawala, Gupta, Goel, Bhansali, Dutta, Seth, Singh, Awasthi, Seth, Pandian, Jha, Dwivedi, Tripathi, Thakar, Jindal, Gangadhar, Bajaj, Kant and Chatterjee.