scispace - formally typeset
Open AccessJournal ArticleDOI

Characterising long COVID: a living systematic review.

Reads0
Chats0
TLDR
In this article, a living systematic review was conducted to synthesize evidence on Long Covid characteristics, to inform clinical management, rehabilitation, and interventional studies to improve long term outcomes.
Abstract
Background: While it is now apparent clinical sequelae (often called Long Covid) may persist after acute Covid-19, their nature, frequency, and aetiology are poorly characterised. This study aims to regularly synthesise evidence on Long Covid characteristics, to inform clinical management, rehabilitation, and interventional studies to improve long term outcomes. Methods: A living systematic review. Medline, CINAHL (EBSCO), Global Health (Ovid), WHO Global Research Database on Covid-19, LitCOVID, and Google Scholar were searched up to 17th March 2021. Published studies including at least 100 people with confirmed or clinically suspected Covid-19 at 12 weeks or more post-onset were included. Results were analysed using descriptive statistics and meta-analyses to estimate prevalence with 95% confidence intervals (CIs). Results: Thirty-nine studies were included: 32 cohort, six cross-sectional, and one case-control. Most showed high or moderate risk of bias. None were set in low-income countries, limited studies included children. Studies reported on 10,951 people (48% female) in 12 countries. Most followed-up post hospital discharge (78%, 8520/10951). The longest mean follow-up was 221.7 (SD: 10.9) days post Covid-19 onset. An extensive range of symptoms with wide prevalence was reported, most commonly weakness (41%; 95% CI 25% to 59%), malaise (33%; 95% CI 15% to 57%), fatigue (31%; 95% CI 24% to 39%), concentration impairment (26%; 95% CI 21% to 32%), and breathlessness (25%; 95% CI 18% to 34%). Other frequent symptoms included musculoskeletal, neurological, and psychological. 37% (95% CI 18% to 60%) of people reported reduced quality of life. Conclusion: Long Covid is a complex condition with heterogeneous symptoms. The nature of the studies precludes a precise case definition or evaluation of risk factors. There is an urgent need for prospective, robust, standardised controlled studies into aetiology, risk factors, and biomarkers to characterise Long Covid in different at-risk populations and settings. Systematic review registration: The protocol was prospectively registered on the PROSPERO database (CRD42020211131).

read more

Citations
More filters
Posted ContentDOI

Mobile Primary Healthcare for post-COVID Patients in Rural Areas: a Proof-of-Concept Study

TL;DR: In this article , the authors investigated physical fitness, fatigue, depression, cognitive dysfunction and dyspnea in patients with post-COVID syndrome in a mobile interdisciplinary post-coVID outpatient clinic.
Journal ArticleDOI

Postacute Sequelae of SARS-CoV-2: Musculoskeletal Conditions and Pain

TL;DR: In this article , the authors explore what is currently known about post-acute sequelae of COVID-19 (PASC) and its pathophysiology as well as strategies for diagnosis and management.
Journal ArticleDOI

Preparing for pandemics: a systematic review of pandemic influenza clinical management guidelines

TL;DR: In this article , a systematic review aims to evaluate the availability, inclusivity, and quality of pandemic influenza CMGs to identify gaps that can be addressed to strengthen pandemic preparedness in this area.
Journal ArticleDOI

Dyspnoea in COVID-19 recovery beyond the intensive care unit: the potential impact of inspiratory muscle weakness

Bernie Bissett
- 01 Jan 2023 - 
TL;DR: The impact of breathlessness on the disability associated with long COVID is less well understood as mentioned in this paper , however, the potential contribution of breathlessness to this disability deserves to be more deeply explored, not least because it could be treatable.
References
More filters
Book

ggplot2: Elegant Graphics for Data Analysis

TL;DR: This book describes ggplot2, a new data visualization package for R that uses the insights from Leland Wilkisons Grammar of Graphics to create a powerful and flexible system for creating data graphics.
Journal ArticleDOI

Quantifying heterogeneity in a meta‐analysis

TL;DR: It is concluded that H and I2, which can usually be calculated for published meta-analyses, are particularly useful summaries of the impact of heterogeneity, and one or both should be presented in publishedMeta-an analyses in preference to the test for heterogeneity.
Journal ArticleDOI

Rayyan-a web and mobile app for systematic reviews.

TL;DR: The strongest features of the app, identified and reported in user feedback, were its ability to help in screening and collaboration as well as the time savings it affords to users.
Related Papers (5)