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Updated: Feb 7, 2026

Dynamic Monitoring of Seroconversion using a Multianalyte Immunobead Assay for Covid-19
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Incidence and predictors of long Covid-19 in hospitalized patients: A cohort study

Pooja Vyas1, Dinesh Joshi1, Kewal Kanabar1

  • 1Department of Cardiology, U.N. Mehta Institute of Cardiology and Research Centre (UNMICRC), Ahmedabad, Gujarat, India.

The National Medical Journal of India
|February 6, 2026
PubMed

Insights

Long Covid-19 affects over a third of hospitalized patients one year after infection. Disease severity, high BMI, and older age predict developing long Covid-19 symptoms.

Area of Science:

  • Infectious Diseases
  • Public Health
  • Internal Medicine

Background:

  • Long-term Covid-19 symptoms can significantly impair health and quality of life.
  • Understanding the incidence and predictors of long Covid-19 is crucial for patient management.

Purpose of the Study:

  • To evaluate the incidence of long Covid-19 in hospitalized patients.
  • To identify independent predictors of long Covid-19 at one-year follow-up.

Main Methods:

  • Prospective collection of clinical data from 393 hospitalized Covid-19 patients.
  • One-year follow-up including vital parameters and laboratory investigations.
  • Multiple logistic regression analysis to determine predictors of long Covid-19.

Main Results:

  • Long Covid-19 was diagnosed in 34.4% of patients at one-year follow-up.
  • Common symptoms included joint pain (40%), fatigue (33%), and dyspnea (22.9%).
  • Independent predictors identified were disease severity at admission, high body-mass index (BMI), and increased age.

Conclusions:

  • Nearly one-third of hospitalized Covid-19 patients experience long Covid-19 one year post-discharge.
  • Disease severity, elevated BMI, and advanced age are significant predictors of developing long Covid-19.

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