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Prevalence and patterns of post-COVID-19 symptoms in recovered patients of Delhi, India: a population-based study.
Bhatnagar, Nidhi; Singh, Mongjam Meghachandra; Sharma, Hitakshi; Mishra, Suruchi; Singh, Gurmeet; Rao, Shivani; Borle, Amod; Anand, Tanu; Kumar, Naresh; Goswami, Binita; Singh, Sarika; Kapoor, Mahima; Singla, Sumeet; Khuraijam, Bembem; Khurana, Nita; Sharma, Urvi; Garg, Suneela.
Afiliação
  • Bhatnagar N; Department of Community Medicine, Maulana Azad Medical College, New Delhi, India.
  • Singh MM; Department of Community Medicine, Maulana Azad Medical College, New Delhi, India.
  • Sharma H; Department of Community Medicine, Maulana Azad Medical College, New Delhi, India.
  • Mishra S; Department of Community Medicine, Maulana Azad Medical College, New Delhi, India.
  • Singh G; Department of Community Medicine, Maulana Azad Medical College, New Delhi, India.
  • Rao S; Department of Community Medicine, Maulana Azad Medical College, New Delhi, India.
  • Borle A; Department of Community Medicine, Maulana Azad Medical College, New Delhi, India.
  • Anand T; Indian Council of Medical Research, New Delhi, India.
  • Kumar N; Department of Pulmonary Medicine, Maulana Azad Medical College and Lok Nayak Hospital, New Delhi, India.
  • Goswami B; Department of Biochemistry, Maulana Azad Medical College and Lok Nayak Hospital, New Delhi, India.
  • Singh S; Department of Pathology, Maulana Azad Medical College and Lok Nayak Hospital, New Delhi, India.
  • Kapoor M; Department of Psychiatry, Maulana Azad Medical College and Lok Nayak Hospital, New Delhi, India.
  • Singla S; Department of Medicine, Maulana Azad Medical College and Lok Nayak Hospital, New Delhi, India.
  • Khuraijam B; Department of Pathology, Maulana Azad Medical College and Lok Nayak Hospital, New Delhi, India.
  • Khurana N; Department of Pathology, Maulana Azad Medical College and Lok Nayak Hospital, New Delhi, India.
  • Sharma U; Directorate General Health Services, Delhi, India.
  • Garg S; National Institute of Health and Family Welfare, New Delhi, India.
Osong Public Health Res Perspect ; 15(3): 229-237, 2024 Jun.
Article em En | MEDLINE | ID: mdl-38988026
ABSTRACT

BACKGROUND:

Post-coronavirus disease 2019 (COVID-19) symptoms were widely reported. However, data on post-COVID-19 conditions following infection with the Omicron variant remained scarce. This prospective study was conducted to understand the prevalence, patterns, and duration of symptoms in patients who had recovered from COVID-19.

METHODS:

A prospective study was conducted across 11 districts of Delhi, India, among individuals who had recovered from COVID-19. Study participants were enrolled, and then returned for post-recovery follow-up at 3 months and 6 months interval.

RESULTS:

The mean age of study participants was 42.07 years, with a standard deviation of 14.89 years. The majority of the participants (79.7%) reported experiencing post-COVID-19 symptoms. The most common symptoms included joint pain (36.0%), persistent dry cough (35.7%), anxiety (28.4%), and shortness of breath (27.1%). Other symptoms were persistent fatigue (21.6%), persistent headache (20.0%), forgetfulness (19.7%), and limb weakness (18.6%). The longest duration of symptom was observed to be anxiety (138.75±54.14 days), followed by fatigue (137.57±48.33 days), shortness of breath (131.89±60.21 days), and joint pain/swelling (131.59±58.76 days). At the first follow-up visit, 2.2% of participants presented with abnormal electrocardiogram readings, but no abnormalities were noticed during the second follow-up. Additionally, 4.06% of participants exhibited abnormal chest X-ray findings at the first followup, which decreased to 2.16% by the second visit.

CONCLUSION:

The most frequently reported post-COVID-19 symptoms were joint pain, dry cough, anxiety and shortness of breath. These clinical symptoms persisted for up to 6 months, with evidence of multi-system involvement. Consequently, findings highlighted the need for long-term follow-up during the post-COVID-19 period.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article