Prevalence of Sleep Disorders Among Survivors of Severe COVID-19 Infections: A Meta-Analysis.
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ABSTRACT:
SUBMITTER: Wu Y
PROVIDER: S-EPMC9974371 | biostudies-literature | 2023 Mar
REPOSITORIES: biostudies-literature
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Prevalence of Sleep Disorders Among Survivors of Severe COVID-19 Infections: A Meta-Analysis.
Wu Yanqian Y Qiao Lijun L Bao Min M Chao Jianqian J
Asia-Pacific journal of public health 20230227 2-3
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Project description:BackgroundPost-traumatic stress disorder (PTSD) develops after a person has experienced a traumatic event which can be highly accounted for amidst the ongoing COVID-19 pandemic. This study aims to estimate the prevalence of PTSD among the severe cases of COVID-19.MethodsWe included the observational studies done to estimate the burden of PTSD among severe COVID-19 patients. Data was extracted manually using structured data extraction form and analyzed in STATA version 14.2. A random-effects model was applied, and the final pooled data was reported as proportion with a 95% confidence interval. Multivariable meta-regression analysis was carried out, and a forest plot was utilized to represent the study-specific and pooled estimates for overall and subgroup analysis.ResultsWe included 13 articles with 1,093 participants in our analysis. The pooled prevalence was estimated to be 16% (95%CI: 9% to 23%). We found a substantial heterogeneity between the studies that reported the outcome (I2=87.9%, p<0.001). In subgroup analysis, the difference in prevalence estimate between the regions was statistically significant.LimitationsWe found significant between-study variability for the outcome. In addition, our review was found to have substantial publication bias. We also found that the lower quality of the majority of the studies being included in our review.InterpretationOur study states that the risk of PTSD is higher following severe COVID-19 infection. Understanding this burden will help us in diverting the resources and adapting necessary interventions to control the situation.
| S-EPMC8596764 | biostudies-literature
Project description:ObjectivesExamine risks for breakthrough COVID-19 infections in vaccinated patients with selected sleep disorders.MethodsReal-time search and analysis using the TriNetX platform to evaluate risk of COVID-19 breakthrough infections (BTI) for patients having ICD-10 diagnoses relating to insomnia, circadian rhythm disorders, and inadequate sleep. The sleep disorder and control cohorts underwent propensity matching including factors for age, gender, race, ethnicity, and multiple co-morbid conditions.ResultsOf 24,720 patients identified as having a sleep disturbance relating to insomnia, circadian rhythm disorder, or inadequate sleep, 815 (3.2 %) were found to have a developed a BTI. There was a significant increased risk of BTI noted between the sleep disorder and control cohorts (adjusted odds ratio (aOR) of 1.40, 95 % confidence interval (CI) of 1.23-1.58). Subgroup analysis showed an elevated risk for BTI receiving two doses (aOR 1.53, 95 % CI 1.24-1.89) versus three doses (aOR 1.45, 95 % CI 1.24-1.69). Patients with the sleep disturbance were not found to be at an increased risk of hospitalization, intubation, death, or composite outcome of death and intubation.ConclusionThe presence of having a diagnosis of insomnia, circadian rhythm disorder, or inadequate sleep was associated with increased risk of COVID-19 breakthrough infection.
| S-EPMC10594631 | biostudies-literature
Project description:CITE-seq of 7 patients with COVID-19 and 5 healthy controls
2020-08-07 | GSE155673 | GEO
Project description:The recent emergence of COVID-19 presents a major global crisis. Profound knowledge gaps remain about the interaction between the virus and the immune system. Here, we used a systems biology approach to analyze immune responses in 76 COVID-19 patients and 69 age and sex- matched controls, from Hong Kong and Atlanta. Mass cytometry revealed prolonged plasmablast and effector T cell responses, reduced myeloid expression of HLA-DR and inhibition of mTOR signaling in plasmacytoid DCs (pDCs) during infection. Production of pro-inflammatory cytokines plasma levels of inflammatory mediators, including EN-RAGE, TNFSF14, and Oncostatin-M, which correlated with disease severity, and increased bacterial DNA and endotoxin in plasma in and reduced HLA-DR and CD86 but enhanced EN-RAGE expression in myeloid cells in severe transient expression of IFN stimulated genes in moderate infections, consistent with transcriptomic analysis of bulk PBMCs, that correlated with transient and low levels of plasma COVID-19.
2020-07-31 | GSE152418 | GEO
Project description:PurposesTo estimate and identify predictors of craniomandibular disorders (CMDs) in severe COVID-19 survivors after prolonged intubation ≥ 1 week (SCOVIDS-PI).MethodsThis retrospective study enrolled two cohorts of SCOVIDS-PIs with vs. without CMD during a one-year period. The predictor variables were demographic, dental, anesthetic, and laboratory parameters. The main outcome was presence of CMD until six post-PI months (yes/no). Appropriate statistics were computed with α = 95%.ResultsThe sample comprised 176 subjects aged 59.2 ± 17.2 years (range, 27-89; 11.9% with CMDs; 30.1% females). CMDs were significantly associated with (1) bilateral posterior tooth loss (P = 0; number needed to screen [NNS] = 1.6), (2) dentofacial skeletal class II/convex face (P = .01; NNS = 2.2), and (3) peak CRP during intensive care ≥ 40 mg/l (P = .01; NNS = 3.5). With combined predictors, NNS became 2 to 4.3.ConclusionsThree predictors of CMDs in SCOVIDS-PIs: bilateral molar loss, convex face, and CRP ≥ 40 mg/l, indicate CMD screening and/or referral to a CMD specialist, regardless of patients' age, gender, underlying CMDs, or previous dental checkups. Screening ∼2 to 4 "SCOVIDS-PIs with ≥ one predictor" will identify one CMD events/patients during the first six post-PI months.
| S-EPMC9259603 | biostudies-literature
Project description:This chapter summarizes the known associations between COVID-19 and sleep dysfunction, including insomnia, excessive daytime sleepiness, restless legs syndrome and nightmares, and touches upon pandemic-related considerations for obstructive sleep apnea and continuous positive airway pressure treatment. Treatment strategies and management approaches are also briefly discussed.
| S-EPMC8286239 | biostudies-literature
Project description:Evidence from previous coronavirus outbreaks has shown that infected patients are at risk for developing psychiatric and mental health disorders, such as depression, anxiety, and sleep disturbances. To construct a comprehensive picture of the mental health status in COVID-19 patients, we conducted a systematic review and random-effects meta-analysis to assess the prevalence of depression, anxiety, and sleep disturbances in this population. We searched MEDLINE, EMBASE, PubMed, Web of Science, CINAHL, Wanfang Data, Wangfang Med Online, CNKI, and CQVIP for relevant articles, and we included 31 studies (n = 5153) in our analyses. We found that the pooled prevalence of depression was 45% (95% CI: 37-54%, I2 = 96%), the pooled prevalence of anxiety was 47% (95% CI: 37-57%, I2 = 97%), and the pooled prevalence of sleeping disturbances was 34% (95% CI: 19-50%, I2 = 98%). We did not find any significant differences in the prevalence estimates between different genders; however, the depression and anxiety prevalence estimates varied based on different screening tools. More observational studies assessing the mental wellness of COVID-19 outpatients and COVID-19 patients from countries other than China are needed to further examine the psychological implications of COVID-19 infections.
| S-EPMC7675607 | biostudies-literature
Project description:ObjectiveThe coronavirus disease (COVID-19) and the public health responses were associated with a huge health burden, which could influence sleep quality. This meta-analysis and systematic review examined the prevalence of poor sleep quality in COVID-19 patients.MethodsPubMed, Web of Science, Embase, and PsycINFO were systematically searched from their respective inception to October 27, 2022. Prevalence rates of poor sleep were analyzed using a random effects model.ResultsTotally, 24 epidemiological and 12 comparative studies with 8,146 COVID-19 patients and 5,787 healthy controls were included. The pooled prevalence of poor sleep quality based on the included studies was 65.0% (95%CI: 59.56-70.44%, I2 = 97.6%). COVID-19 patients had a higher risk of poor sleep quality compared to healthy controls (OR = 1.73, 95% CI: 1.30-2.30, p < 0.01, I2 = 78.1%) based on the 12 comparative studies. Subgroup analysis revealed that COVID-19 patients in low-income countries (p = 0.011) and in studies using a lower Pittsburgh Sleep Quality Index score cut-off (p < 0.001) were more likely to have poor sleep quality. Meta-regression analyses revealed that being female (p = 0.044), older (p < 0.001) and married (p = 0.009) were significantly correlated with a higher risk of poor sleep quality while quality score (p = 0.014) were negatively correlated with the prevalence of poor sleep quality in COVID-19 patients.ConclusionPoor sleep quality was found to be very common in COVID-19 patients. Considering the negative effects of poor sleep quality on daily life, sleep quality should be routinely assessed and appropriately addressed in COVID-19 patients.
| S-EPMC10800583 | biostudies-literature
Project description:ObjectivesTo conduct a systematic review and meta-analysis to evaluate the prevalence of thyroid disorders in COVID-19 patients.Data sourcesScopus, PubMed, ISI Web of Science, and Google Scholar databases were used in this review. We also consider the results of grey literature.Study selectionsCohort, cross-sectional, and case-control studies were included.Data extraction and synthesisThe required data were extracted by the first author of the article and reviewed by the second author. The Pooled prevalence of outcomes of interest was applied using the meta-prop method with a pooled estimate after Freeman-Tukey Double Arcsine Transformation to stabilize the variances.Outcomes and measuredThe different thyroid disorders were the main outcomes of this study. The diseases include non-thyroidal illness syndrome, thyrotoxicosis, hypothyroidism, isolated elevated free T4, and isolated low free T4.ResultsEight articles were included in our meta-analysis(Total participants: 1654). The pooled prevalence of events hypothyroidism, isolated elevated FT4, isolated low FT4, NTIS, and thyrotoxicosis were estimated (Pooled P = 3%, 95% CI:2-5%, I2: 78%), (Pooled P = 2%, 95% CI: 0-4%, I2: 66%), (Pooled P = 1%, 95% CI: 0-1%, I2: 0%), (Pooled P = 26%, 95% CI: 10-42%, I2: 98%), and (Pooled P = 10%, 95% CI: 4-16%, I2: 89%), respectively.ConclusionThyroid dysfunction is common in COVID-19 patients, with a high prevalence of non-thyroidal illness syndrome (NTIS) and thyrotoxicosis. Our meta-analysis found a 26% prevalence of NTIS and a 10% prevalence of thyrotoxicosis.Systematic review registrationPROSPERO CRD42022312601.
| S-EPMC10759498 | biostudies-literature
Project description:PurposeWe aimed to assess the prevalence rate (PR) of depression, anxiety, posttraumatic stress disorder (PTSD), insomnia, distress, and fear of cancer progression/recurrence among patients with cancer during the COVID-19 pandemic.MethodsStudies that reported the PR of six psychological disorders among cancer patients during the COVID-19 pandemic were searched in PubMed, Embase, PsycINFO, and Web of Science databases, from January 2020 up to 31 January 2022. Meta-analysis results were merged using PR and 95% confidence intervals, and heterogeneity among studies was evaluated using I2 and Cochran's Q test. Publication bias was examined using funnel plots and Egger's tests. All data analyses were performed using Stata14.0 software.ResultsForty studies with 27,590 participants were included. Pooled results showed that the PR of clinically significant depression, anxiety, PTSD, distress, insomnia, and fear of cancer progression/recurrence among cancer patients were 32.5%, 31.3%, 28.2%, 53.9%, 23.2%, and 67.4%, respectively. Subgroup analysis revealed that patients with head and neck cancer had the highest PR of clinically significant depression (74.6%) and anxiety (92.3%) symptoms. Stratified analysis revealed that patients with higher education levels had higher levels of clinically significant depression (37.2%). A higher level of clinically significant PTSD was observed in employed patients (47.4%) or female with cancer (27.9%).ConclusionThis meta-analysis evaluated the psychological disorders of cancer patients during the COVID-19 outbreak. Therefore, it is necessary to develop psychological interventions to improve the mental health of cancer patients during the pandemic.
| S-EPMC9538248 | biostudies-literature