One-Year Temporal Changes in Long COVID Prevalence and Characteristics: A Systematic Review and Meta-Analysis

Huang, Qiangru; Jia, Mengmeng; Sun, Yanxia; Jiang, Binshan; Cui, Dan; Feng, Luzhao; Yang, Weizhong

doi:10.1016/j.jval.2022.11.011

Cited by 16 publications

(17 citation statements)

References 42 publications

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“…The predictive effect of sleep variables was obtained by adjusting for important confounding factors (age, gender, and BMI) that were associated by previous studies with a higher risk for long COVID symptoms. [19][20][21] Furthermore, the main findings were confirmed after controlling for the COVID-19 severity, which is an established predictor of long COVID conditions, 2,19,20,27 but also a documented outcome of previous sleep problems. 77,78 Third, the results were replicated in the same sample by using a different baseline assessment in December 2020.…”

Section: Limitations and Strengthsmentioning

confidence: 68%

“…Firstly, all analyses were further adjusted for the COVID-19 severity, considering the established relationship between acute illness severity and future long-covid symptoms. 2,19,20,27 Secondly, models were fitted including the number of months between April 2020 and the time of the infection as covariate to control for the time distance between actual infection and the first survey wave. Finally, analyses were performed also using a different baseline assessment of sleep variables (December 2020; see “Supplemental statistical analysis” section in the supplemental material).…”

Section: Discussionmentioning

confidence: 99%

“…Estimates from the World Health Organization indicate that over 750 million Coronavirus Disease 2019 (COVID- 19) cases have been confirmed globally. 1 While most individuals experience mild symptoms and recover quickly, recent meta-analyses suggested that 43-45% of COVID-19 survivors report signs and symptoms that continue or develop in the long run.…”

Section: Introductionmentioning

confidence: 99%

“…We hypothesized that sleep disturbances and shorter sleep duration could be prospectively associated with the occurrence of a wide range of long-term symptoms after one and three months from COVID-19 while accounting for established risk factors (age, gender, body mass index -BMI, COVID-19 severity). 2,[19][20][21] Finally, we investigated whether sleep issues before infection were related to longer recovery times to return to the pre-infection daily functioning level.…”

Section: Introductionmentioning

confidence: 99%

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Poor sleep quality, insomnia, and short sleep duration before infection predict long-term symptoms after COVID-19

Salfi

Amicucci

Corigliano

et al. 2023

Preprint

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Study objectives: Millions of COVID-19 survivors experience a wide range of long-term symptoms after acute infection, giving rise to serious public health concerns. To date, few risk factors for post-COVID-19 conditions have been determined. This study evaluated the role of pre-infection sleep quality/duration and insomnia severity in the incidence of long-term symptoms after COVID-19. Methods: This prospective study involved two assessments (April 2020 and 2022). At baseline, sleep quality/duration and insomnia symptoms in participants without current/prior SARS-CoV-2 infection were measured using the Pittsburgh Sleep Quality Index (PSQI) and the Insomnia Severity Index (ISI). At follow-up, we evaluated the presence of twenty-one symptoms (psychiatric, neurological, cognitive, bodily, and respiratory) one month (n=713, infection in April 2020-February 2022) and three months after COVID-19 (n=333, infection in April 2020-December 2021). Zero-inflated negative binomial models were used to estimate the effect of previous sleep on the number of long-term symptoms. Binomial logistic regressions were performed to evaluate the association between sleep outcomes and the incidence of each post-COVID-19 symptom. Results: Analyses highlighted a significant effect of pre-infection sleep on the number of symptoms one/three months after COVID-19. Previous higher PSQI and ISI scores, and shorter sleep duration significantly increased the risk of almost every long-term symptom at one/three months from COVID-19. Conclusion: This study suggested a prospective dose-dependent association between pre-infection sleep quality/quantity and insomnia severity with the manifestation of post-COVID-19 symptoms. Promoting sleep health may represent an effective preventive approach to mitigate the COVID-19 sequelae, with substantial public health and societal implications.

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Section: Limitations and Strengthsmentioning

confidence: 68%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Poor sleep quality, insomnia, and short sleep duration before infection predict long-term symptoms after COVID-19

Salfi

Amicucci

Corigliano

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…The 22 systematic reviews included in this umbrella review are described in Tables 1 and 2. Eleven (50%) systematic reviews 18,[43][44][45][46][47][48][49][50][51][52] (Table 1) reported on the prevalence of all potential long COVID TTs. Of these, four (36%) systematic reviews compared prevalence between people who were or were not hospitalized and/or admitted to ICU with acute COVID-19, 44,46,48,51 and one reported on symptoms or complications in only people who were hospitalized with acute COVID-19.…”

Section: Review 1-long Covid Symptoms and Complications (Tts)mentioning

confidence: 99%

Treatable traits for long COVID

Lewthwaite,

Byrne,

Brew

et al. 2023

Respirology

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Long COVID, or post‐acute COVID‐19 sequelae, is experienced by an estimated one in eight adults following acute COVID‐19. Long COVID is a new and complex chronic health condition that typically includes multiple symptoms that cross organ systems and fluctuate over time; a one‐size‐fits‐all approach is, therefore, not likely to be appropriate nor relevant for long COVID treatment. ‘Treatable Traits’ is a personalized medicine approach, purpose‐built to address the complexity and heterogeneity of complex chronic conditions. This comprehensive review aimed to understand how a treatable traits approach could be applied to long COVID, by first identifying the most prevalent long COVID treatable traits and then the available evidence for strategies to target these traits. An umbrella review of 22 systematic reviews identified 34 symptoms and complications common with long COVID, grouped into eight long COVID treatable trait clusters: neurological, chest, psychological, pain, fatigue, sleep impairment, functional impairment and other. A systematic review of randomized control trials identified 18 studies that explored different intervention approaches for long COVID prevention (k = 4) or management (k = 14). While a single study reported metformin as effective for long COVID prevention, the findings need to be replicated and consensus is required around how to define long COVID as a clinical trial endpoint. For long COVID management, current evidence supports exercise training or respiratory muscle training for long COVID treatable traits in the chest and functional limitation clusters. While there are studies exploring interventions targeting other long COVID treatable traits, further high‐quality RCTs are needed, particularly targeting treatable traits in the clusters of fatigue, psychological, pain and sleep impairment.

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Understanding How Post–COVID-19 Condition Affects Adults and Health Care Systems

et al. 2023

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ImportancePost–COVID-19 condition (PCC), also known as long COVID, encompasses the range of symptoms and sequelae that affect many people with prior SARS-CoV-2 infection. Understanding the functional, health, and economic effects of PCC is important in determining how health care systems may optimally deliver care to individuals with PCC.ObservationsA rapid review of the literature showed that PCC and the effects of hospitalization for severe and critical illness may limit a person’s ability to perform day-to-day activities and employment, increase their risk of incident health conditions and use of primary and short-term health care services, and have a negative association with household financial stability. Care pathways that integrate primary care, rehabilitation services, and specialized assessment clinics are being developed to support the health care needs of people with PCC. However, comparative studies to determine optimal care models based on their effectiveness and costs remain limited. The effects of PCC are likely to have large-scale associations with health systems and economies and will require substantial investment in research, clinical care, and health policy to mitigate these effects.Conclusions and RelevanceAn accurate understanding of additional health care and economic needs at the individual and health system levels is critical to informing health care resource and policy planning, including identification of optimal care pathways to support people affected by PCC.

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One-Year Temporal Changes in Long COVID Prevalence and Characteristics: A Systematic Review and Meta-Analysis

Cited by 16 publications

References 42 publications

Poor sleep quality, insomnia, and short sleep duration before infection predict long-term symptoms after COVID-19

Poor sleep quality, insomnia, and short sleep duration before infection predict long-term symptoms after COVID-19

Treatable traits for long COVID

Understanding How Post–COVID-19 Condition Affects Adults and Health Care Systems

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