Publications by authors named "Alka Turuk"

Article Synopsis
  • - This study examines how COVID-19 affects cancer patients' risk of death within 30 days of hospitalization, finding that specific types of cancer significantly elevate this risk.
  • - Among 51,544 hospitalized COVID-19 patients, 976 had cancer; solid cancers had a particularly high mortality rate of 25%.
  • - The research emphasizes the importance of tailored monitoring and treatment for COVID-19 patients with cancer, especially during the first 10 days of hospitalization, as this is when the risk of severe outcomes is greatest.
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  • A study was conducted in India to investigate sudden unexplained deaths among healthy young adults (ages 18-45) possibly linked to COVID-19 infection or vaccination from October 2021 to March 2023.
  • The research analyzed data from 729 cases and 2,916 matching controls, assessing factors like COVID-19 vaccination status, family history, substance use, and physical activity.
  • Results indicated that receiving at least one COVID-19 vaccine dose reduced the likelihood of sudden death, while factors such as past hospitalization for COVID-19, family history of sudden deaths, binge drinking, and intense physical activity increased the risk.
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  • - The analysis aimed to determine the prevalence of tuberculosis (TB) infection in India, revealing that approximately 22.6% of the population over 15 years old is infected with TB.
  • - Data from the National TB prevalence survey indicated that factors such as being over 30 years old, male gender, urban residency, and having a previous TB history are significantly associated with higher TB infection rates.
  • - The study highlights the need for targeted interventions and monitoring to effectively address and reduce the high burden of TB in India.
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Introduction: The effects of COVID-19 infection persist beyond the active phase. Comprehensive description and analysis of the post COVID sequelae in various population groups are critical to minimise the long-term morbidity and mortality associated with COVID-19. This analysis was conducted with an objective to estimate the frequency of post COVID sequelae and subsequently, design a framework for holistic management of post COVID morbidities.

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Background & Objectives: The post-acute effects of COVID-19 are continually being updated. This investigation was conducted to evaluate the determinants of post discharge mortality in hospitalized COVID-19 patients, especially 18-45 yr of age.

Methods: A series of three nested case-control analyses was conducted on follow up data collected in the National Clinical Registry for COVID-19 between September 2020 and February 2023 from 31 hospitals.

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Background: Patients admitted to intensive care units (ICUs) with severe coronavirus disease (COVID-19) are associated with high mortality. The present retrospective, multicenter study describes the predictors and outcomes of COVID-19 patients requiring ICU admission from COVID-19 Registry of Indian Council of Medical Research (ICMR), India.

Materials And Methods: Prospectively collected data from participating institutions were entered into the electronic National Clinical Registry of COVID-19.

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Objective: To evaluate the factors associated with mortality of a multicentric cohort of hospitalized COVID-19 patients, 0-18 y old, from 42 centers across India.

Methods: The National Clinical Registry for COVID-19 (NCRC) is an on-going prospective data collection platform enrolling COVID-19 patients diagnosed by real-time PCR or rapid antigen test. The data are collected in prestructured e-capture forms.

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Background & Objectives: Data from the National Clinical Registry for COVID-19 (NCRC) were analyzed with an aim to describe the clinical characteristics, course and outcomes of patients hospitalized with COVID-19 in the third wave of the pandemic and compare them with patients admitted earlier.

Methods: The NCRC, launched in September 2020, is a multicentre observational initiative, which provided the platform for the current investigation. Demographic, clinical, treatment and outcome data of hospitalized COVID-19 patients were captured in an electronic data portal from 38 hospitals across India.

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Background: Earlier serosurveys in India revealed seroprevalence of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) of 0.73% in May-June 2020 and 7.1% in August-September 2020.

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Background: The first national severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) serosurvey in India, done in May-June, 2020, among adults aged 18 years or older from 21 states, found a SARS-CoV-2 IgG antibody seroprevalence of 0·73% (95% CI 0·34-1·13). We aimed to assess the more recent nationwide seroprevalence in the general population in India.

Methods: We did a second household serosurvey among individuals aged 10 years or older in the same 700 villages or wards within 70 districts in India that were included in the first serosurvey.

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Article Synopsis
  • * A total of 28,000 individuals were tested for IgG antibodies, revealing a population-weighted seroprevalence of 0.73%, equating to approximately 6.47 million adult infections by early May.
  • * Factors such as being male, residing in urban slums, and having high-risk occupations were linked to higher seropositivity, with an infection case ratio ranging from 81.6 to 130.1 and
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