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Characterization and predictive risk scoring of long COVID in a south indian cohort after breakthrough COVID infection; a prospective single centre study
BACKGROUND: With the World Health Organization (WHO) declaring an end to the COVID-19 pandemic, the focus has shifted to understanding and managing long-term post-infectious complications. “Long COVID,“ characterized by persistent or new onset symptoms extending beyond the initial phase of infection...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10563355/ https://www.ncbi.nlm.nih.gov/pubmed/37814234 http://dx.doi.org/10.1186/s12879-023-08600-6 |
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author | Nair, Pranav Nair, Chithira V Kulirankal, Kiran G Corley, Elizabeth M Edathadathil, Fabia Gutjahr, Georg Moni, Merlin Sathyapalan, Dipu T |
author_facet | Nair, Pranav Nair, Chithira V Kulirankal, Kiran G Corley, Elizabeth M Edathadathil, Fabia Gutjahr, Georg Moni, Merlin Sathyapalan, Dipu T |
author_sort | Nair, Pranav |
collection | PubMed |
description | BACKGROUND: With the World Health Organization (WHO) declaring an end to the COVID-19 pandemic, the focus has shifted to understanding and managing long-term post-infectious complications. “Long COVID,“ characterized by persistent or new onset symptoms extending beyond the initial phase of infection, is one such complication. This study aims to describe the incidence, clinical features and risk profile of long COVID among individuals in a South Indian cohort who experienced post-ChAdOx1 n-Cov-2 vaccine breakthrough infections. METHODS: A single-centre hospital-based prospective observational study was conducted from October to December 2021. The study population comprised adult patients (> 18 years) with a confirmed COVID-19 diagnosis who had received at least a single dose of vaccination. Data was collected using a specially tailored questionnaire at week 2, week 6, and week 12 post-negative COVID-19 test. A propensity score based predictive scoring system was developed to assess the risk of long COVID. RESULTS: Among the 414 patients followed up in the study, 164 (39.6%) reported long COVID symptoms persisting beyond 6 week’s post-infection. The presence of long COVID was significantly higher among patients above 65 years of age, and those with comorbidities such as Type II Diabetes Mellitus, hypertension, dyslipidemia, coronary artery disease, asthma, and cancer. Using backwards selection, a reduced model was developed, identifying age (OR 1.053, 95% CI 0.097–1.07, p < 0.001), hypertension (OR 2.59, 95% CI 1.46–4.59, p = 0.001), and bronchial asthma (OR 3.7176, 95% CI 1.24–11.12, p = 0.018) as significant predictors of long COVID incidence. A significant positive correlation was observed between the symptomatic burden and the number of individual comorbidities. CONCLUSIONS: The significant presence of long COVID at 12 weeks among non-hospitalised patients underscores the importance of post-recovery follow-up to assess for the presence of long COVID. The predictive risk score proposed in this study may help identify individuals at risk of developing long COVID. Further research is needed to understand the impact of long COVID on patients’ quality of life and the potential role of tailored rehabilitation programs in improving patient outcomes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-023-08600-6. |
format | Online Article Text |
id | pubmed-10563355 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-105633552023-10-11 Characterization and predictive risk scoring of long COVID in a south indian cohort after breakthrough COVID infection; a prospective single centre study Nair, Pranav Nair, Chithira V Kulirankal, Kiran G Corley, Elizabeth M Edathadathil, Fabia Gutjahr, Georg Moni, Merlin Sathyapalan, Dipu T BMC Infect Dis Research BACKGROUND: With the World Health Organization (WHO) declaring an end to the COVID-19 pandemic, the focus has shifted to understanding and managing long-term post-infectious complications. “Long COVID,“ characterized by persistent or new onset symptoms extending beyond the initial phase of infection, is one such complication. This study aims to describe the incidence, clinical features and risk profile of long COVID among individuals in a South Indian cohort who experienced post-ChAdOx1 n-Cov-2 vaccine breakthrough infections. METHODS: A single-centre hospital-based prospective observational study was conducted from October to December 2021. The study population comprised adult patients (> 18 years) with a confirmed COVID-19 diagnosis who had received at least a single dose of vaccination. Data was collected using a specially tailored questionnaire at week 2, week 6, and week 12 post-negative COVID-19 test. A propensity score based predictive scoring system was developed to assess the risk of long COVID. RESULTS: Among the 414 patients followed up in the study, 164 (39.6%) reported long COVID symptoms persisting beyond 6 week’s post-infection. The presence of long COVID was significantly higher among patients above 65 years of age, and those with comorbidities such as Type II Diabetes Mellitus, hypertension, dyslipidemia, coronary artery disease, asthma, and cancer. Using backwards selection, a reduced model was developed, identifying age (OR 1.053, 95% CI 0.097–1.07, p < 0.001), hypertension (OR 2.59, 95% CI 1.46–4.59, p = 0.001), and bronchial asthma (OR 3.7176, 95% CI 1.24–11.12, p = 0.018) as significant predictors of long COVID incidence. A significant positive correlation was observed between the symptomatic burden and the number of individual comorbidities. CONCLUSIONS: The significant presence of long COVID at 12 weeks among non-hospitalised patients underscores the importance of post-recovery follow-up to assess for the presence of long COVID. The predictive risk score proposed in this study may help identify individuals at risk of developing long COVID. Further research is needed to understand the impact of long COVID on patients’ quality of life and the potential role of tailored rehabilitation programs in improving patient outcomes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-023-08600-6. BioMed Central 2023-10-09 /pmc/articles/PMC10563355/ /pubmed/37814234 http://dx.doi.org/10.1186/s12879-023-08600-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Nair, Pranav Nair, Chithira V Kulirankal, Kiran G Corley, Elizabeth M Edathadathil, Fabia Gutjahr, Georg Moni, Merlin Sathyapalan, Dipu T Characterization and predictive risk scoring of long COVID in a south indian cohort after breakthrough COVID infection; a prospective single centre study |
title | Characterization and predictive risk scoring of long COVID in a south indian cohort after breakthrough COVID infection; a prospective single centre study |
title_full | Characterization and predictive risk scoring of long COVID in a south indian cohort after breakthrough COVID infection; a prospective single centre study |
title_fullStr | Characterization and predictive risk scoring of long COVID in a south indian cohort after breakthrough COVID infection; a prospective single centre study |
title_full_unstemmed | Characterization and predictive risk scoring of long COVID in a south indian cohort after breakthrough COVID infection; a prospective single centre study |
title_short | Characterization and predictive risk scoring of long COVID in a south indian cohort after breakthrough COVID infection; a prospective single centre study |
title_sort | characterization and predictive risk scoring of long covid in a south indian cohort after breakthrough covid infection; a prospective single centre study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10563355/ https://www.ncbi.nlm.nih.gov/pubmed/37814234 http://dx.doi.org/10.1186/s12879-023-08600-6 |
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