Prevalence, classification, risk factors and outcome impact of delirium in patients with COVID-19: a meta-analysis protocol for systematic review.
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ABSTRACT: Introduction
Previous studies have shown mixed results that delirium may result in a high risk of adverse clinical outcomes in patients with COVID-19. The aim of this meta-analysis is to summarise the evidence of prevalence, classification, risk factors and outcomes impact of delirium in adult patients with COVID-19.Methods
A systematic search will be performed in PubMed, EMBase, ISI Knowledge via Web of Science and preprint databases (MedRxiv and BioRxiv) (from inception until June 2021) to identify all cohort studies concerning delirium in adult patients with COVID-19. The primary outcome will be the prevalence of delirium with different classifications (hyperactive, hypoactive or mixed type). The secondary outcomes will include the association of risk factors and the association with all-cause mortality during hospitalisation. Univariable or multivariable meta-regression and subgroup analyses will be conducted for the study design and patient characteristics. Sensitivity analyses were used to assess the robustness of our results by removing each included study at one time to obtain and evaluate the remaining overall estimates of primary and secondary outcomes.Ethics and dissemination
Ethical approval is not an essential element for the systematic review protocol in accordance with the Institutional Review Board /Independent Ethics Committee of Beijing Hospital. This meta-analysis will be disseminated through a peer-reviewed journal for publication.Prospero registration number
CRD42020224871.
SUBMITTER: Lou B
PROVIDER: S-EPMC8671850 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:BackgroundAttention should be paid to delirium in coronavirus disease 2019 (COVID-19) patients, especially older people, since advanced age poses increased risk of both delirium and COVID-19-related death.ObjectiveThis study aims to summarise the evidence on prevalence, incidence and mortality of delirium in COVID-19 patients.MethodsWe conducted a comprehensive literature search on Pubmed and Embase from inception to 1 December 2020. Three independent reviewers evaluated study eligibility and data extraction, and assessed study quality. Outcomes were analysed as proportions with 95% confidence interval (CI). We also compared mortality differences in COVID-19 patients using odds ratio.ResultsIn total, we identified 48 studies with 11,553 COVID-19 patients from 13 countries. Pooled prevalence, incidence and mortality rates for delirium in COVID-19 patients were 24.3% (95% CI: 19.4-29.6%), 32.4% (95% CI: 20.8-45.2%) and 44.5% (95% CI: 36.1-53.0%), respectively. For patients aged over 65 years, prevalence, incidence and mortality rates for delirium in COVID-19 patients were 28.2% (95% CI: 23.5-33.1%), 25.2% (95% CI: 16.0-35.6%) and 48.4% (95% CI: 40.6-56.1%), respectively. For patients under 65 years, prevalence, incidence and mortality rates for delirium in COVID-19 patients were 15.7% (95% CI: 9.2-23.6%), 71.4% (95% CI: 58.5-82.7%) and 21.2% (95% CI: 15.4-27.6%), respectively. Overall, COVID-19 patients with delirium suffered higher risk of mortality, compared with those without delirium (OR: 3.2, 95% CI: 2.1-4.8).ConclusionDelirium developed in almost 1 out of 3 COVID-19 patients, and was associated with 3-fold overall mortality. Our findings suggest that first-line healthcare providers should systematically assess delirium and monitor related symptoms among COVID-19 patients.
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Project description:ObjectivesTo determine the relation between delirium in critically ill patients and their outcomes in the short term (in the intensive care unit and in hospital) and after discharge from hospital.DesignSystematic review and meta-analysis of published studies.Data sourcesPubMed, Embase, CINAHL, Cochrane Library, and PsychINFO, with no language restrictions, up to 1 January 2015.Eligibility criteria for selection studiesReports were eligible for inclusion if they were prospective observational cohorts or clinical trials of adults in intensive care units who were assessed with a validated delirium screening or rating system, and if the association was measured between delirium and at least one of four clinical endpoints (death during admission, length of stay, duration of mechanical ventilation, and any outcome after hospital discharge). Studies were excluded if they primarily enrolled patients with a neurological disorder or patients admitted to intensive care after cardiac surgery or organ/tissue transplantation, or centered on sedation management or alcohol or substance withdrawal. Data were extracted on characteristics of studies, populations sampled, identification of delirium, and outcomes. Random effects models and meta-regression analyses were used to pool data from individual studies.ResultsDelirium was identified in 5280 of 16,595 (31.8%) critically ill patients reported in 42 studies. When compared with control patients without delirium, patients with delirium had significantly higher mortality during admission (risk ratio 2.19, 94% confidence interval 1.78 to 2.70; P<0.001) as well as longer durations of mechanical ventilation and lengths of stay in the intensive care unit and in hospital (standard mean differences 1.79 (95% confidence interval 0.31 to 3.27; P<0.001), 1.38 (0.99 to 1.77; P<0.001), and 0.97 (0.61 to 1.33; P<0.001), respectively). Available studies indicated an association between delirium and cognitive impairment after discharge.ConclusionsNearly a third of patients admitted to an intensive care unit develop delirium, and these patients are at increased risk of dying during admission, longer stays in hospital, and cognitive impairment after discharge.
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Project description:OBJECTIVE:Postoperative delirium (POD) was common after spinal surgery, but the main findings in previous studies remained conflicting. This current meta-analysis was aimed at exploring the prevalence and risk factors of POD after spinal surgery. METHODS:PubMed and Embase were searched from inception to June 2019. Studies which reported the prevalence and risk factors of POD after spinal surgery were included. STATA version 12.0 was employed to analyze the pooled data. Statistical heterogeneity across included studies was identified using the I2 statistics. RESULTS:A total of 28 studies with 588,732 patients were included in the meta-analysis. The pooled prevalence of POD after spinal surgery was 0.85% (95%CI, 0.83-0.88%) with substantial heterogeneity (I2 = 97.3%). The central nervous system disorder (OR 4.73; 95%CI, 4.30-5.19) was a strong predictor for POD, whereas age (OR 1.16; 95%CI, 1.05-2.47; I2 = 99.2%) and blood loss (OR 1.10; 95%CI, 1.01-1.20; I2 = 93.3%) were weaker predictors. The funnel plot and statistical tests suggested that there existed potential publication bias, but the trim and fill method indicated that the pooled prevalence basically kept stable after adding two "missing" studies. CONCLUSIONS:The pooled POD after spinal surgery ranges from 0.83 to 0.88%. The central nervous system disorder, age, and blood loss were potential risk factors for POD.
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Project description:BACKGROUND:Delirium is a frequent form of acute brain dysfunction in mechanically ventilated patients. Screening tools have been developed to identify delirium, but it is unclear which tool is the most accurate. Therefore, we provide a protocol of systematic evaluation to assess the accuracy of delirium screening tools in mechanically ventilated patients. METHODS:PubMed, PsycINFO, EMBASE, and the Cochrane Library will be searched. Studies involving mechanically ventilated patients which compared diagnostic tools with the Diagnostic and Statistical Manual of Mental Disorders criteria as a reference standard will be included. We will use MetaDiSC and STATA 15.1 to analyze carefully when a network meta-analysis is allowed. RESULTS:This study will provide a high-quality synthesis to assess the accuracy of different screening methods in mechanically ventilated patients. CONCLUSION:The conclusion of our systematic review will provide evidence to judge which screening method is the best for mechanically ventilated patients.
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Project description:BackgroundDelirium prevalence increases with age and is associated with poor outcomes. We aimed to investigate the prevalence and risk factors for delirium in older patients hospitalized with COVID-19, as well as its association with length of stay and mortality.MethodThis was a retrospective study of patients aged 65 years and older hospitalized with COVID-19. Data were collected from computerized medical records and all patients had delirium assessment at admission. Risk factors for delirium as well as the outcomes mentioned above were studied by 2-group comparison, logistic regression, and Cox proportional hazard models.ResultsOf a total of 235 Caucasian patients, 48 (20.4%) presented with delirium, which was hypoactive in 41.6% of cases, and hyperactive and mixed in 35.4% and 23.0%, respectively. Patients with cognitive impairment had a nearly 4 times higher risk of developing delirium compared to patients who were cognitively normal before SARS-CoV-2 infection (odds ratio 3.7; 95% CI: 1.7-7.9, p = .001). The presence of delirium did not modify the time from symptoms' onset to hospitalization or the length of stay in acute care, but it was associated with an increased risk of dying (hazard ratio 2.1; 95% CI: 1.2-3.7, p = .0113).ConclusionDelirium was a prevalent condition in older people admitted with COVID-19 and preexisting cognitive impairment was its main risk factor. Delirium was associated with higher in-hospital mortality. These results highlight the importance of early recognition of delirium especially when premorbid cognitive comorbidities are present.
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Project description:IntroductionPreterm birth (PTB) complications are the leading cause of death among neonates globally. The reduction in neonatal mortality is not remarkable in Ethiopia. Therefore, this review will assess the magnitude and associated factors of PTB in Ethiopia.Methods and analysisThe Preferred Reporting Items for Systematic Reviews and Meta-Analyses guideline will be followed during the systematic review. We will include all observational studies published from 1 January 2009 to 31 December 2019 that examined the level and/or associated factors of any type of PTB among live births in Ethiopia. Inclusion criteria will be all live births, PTB defined as delivery before 37 weeks gestation. The primary outcome will be PTB <37 weeks, and secondary outcomes including PTB <34, <32 and <28 weeks will be analysed. PubMed and Science Direct databases as well as Google search engine and Google Scholar will be searched. The pooled prevalence of preterm and effect size of association for associated factors will be analysed using the Stata software V.14. The heterogeneity between studies will be measured by I2 statistics. A random-effects model will be used to estimate if heterogeneity detected. Publication bias will be assessed using a funnel plot. Subgroup analysis will be sought based on possible characteristics of the studies, specific morbidity (like pre-eclampsia, hypertension), type of PTB (spontaneous or iotrogenic) and quality of study (high-quality or low-risk). Meta-regression will be considered for major covariates (maternal age and maternal body mass index) related to PTB. Forest plots will be used to present the combined estimate with 95% CIs. The quality of evidence of the outcomes will be assessed with the GRADE (Grading of Recommendations, Assessment, Development and Evaluations) approach.Ethics and disseminationNo ethical approval is necessary for this systematic review. The findings will be published in a peer-reviewed journal.Prospero registration numberCRD42017077356.
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Project description:BackgroundOlder adults with COVID-19 are more likely to present with atypical symptoms, notably delirium. The main objective of this meta-analysis is to identify risk factors for delirium and outcomes of delirium in hospitalized older adults (65 years or above) with COVID-19.MethodsComprehensive literature search of Embase, CINAHIL, Medline and Web of Science was performed for published literature until 31st August 2021. Two independent researchers evaluated study eligibility and assessed study quality using the Newcastle Ottawa Scale (NOS) for cohort studies and Joanna Briggs Institute (JBI) critical appraisal tools for case series. The association of various predisposing factors with delirium in this cohort was reported as odds ratio (OR) and its 95% confidence interval (CI).ResultsA total of 31 studies from 11 countries were included in this review. Most of the included studies investigated patients from non-ICU settings (n = 24; 77.4%). Frailty (OR 3.52, 95% CI: 1.96-6.31, p<0.0001, I2=71.63%), cognitive impairment including dementia (OR 6.17, 95% CI: 2.92-13.07, p<0.00001, I2=88.63%) and being nursing home residents (OR 1.72, 95% CI: 1.31-2.24, p<0.0001, I2=0) were significantly associated with increased likelihood of developing delirium in older adults with COVID-19. The presence of delirium also significantly increases mortality risk in hospitalized older adults with COVID-19 (OR 2.51, 95% CI: 1.51-4.17, p<0.0001, I2=89.3%).ConclusionOur review identifies key factors associated with increased risk of developing delirium in hospitalized older adults with COVID-19. Identification of patients at risk of delirium and attention to these factors early during admission may improve outcomes for this vulnerable cohort.
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Project description:IntroductionA proportion of those who survive the acute phase of COVID-19 experience prolonged symptoms, commonly known as long COVID-19. Given that healthcare workers (HCWs) face an elevated risk of acute COVID-19 compared with the general population, the global burden of long COVID-19 in HCWs is likely to be large; however, there is limited understanding of the prevalence of long COVID-19 in HCWs, or its symptoms and their clustering. This review will aim to estimate the pooled prevalence and the symptoms of long COVID-19 among HCWs infected with SARS-CoV-2 globally, and investigate differences by country, age, sex, ethnicity, vaccination status and occupation.Methods and analysisA systematic review and meta-analysis will be conducted. Medline (via Ovid), CINAHL (via EBSCO), Embase (via Ovid), PsycINFO (via EBSCO), OpenGrey (grey literature) and medRxiv (preprint server) will be searched from the 31 December 2019 onward. All research studies and preprint articles reporting any primary data on the prevalence and/or the symptoms of long COVID-19 among adult HCWs will be included. Methodological quality will be assessed using the Joanna Briggs Institute Critical Appraisal Checklist for Studies Reporting Prevalence Data. Outcomes are anticipated to be the prevalence of long COVID-19 among HCWs around the world and trajectory of symptoms. Data synthesis will include random-effect meta-analysis for studies reporting prevalence data of long COVID-19 following SARS-CoV-2 infection among HCWs. The results will be presented with a 95% CI as an estimated effect across studies. Heterogeneity will be assessed using I² statistic. Where meta-analysis is inappropriate, a narrative synthesis of the evidence will be conducted.Ethics and disseminationEthical approval is not needed as data will be obtained from published articles. We will publish our findings in a peer-reviewed journal and disseminate the results of our review at conferences.Prospero registration numberCRD42022312781.
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Project description:IntroductionThe increased social and economic burden caused by the novel COVID-19 outbreak is gradually becoming a worrisome issue for the health sector. The novel coronavirus invades the target cell by binding to ACE2, which is widely expressed in the ovaries, uterus, vagina and placenta. Significantly, the SARS-CoV-2 is said to interrupt female fertility through regulating ACE2. Thus, it is essential to investigate if the novel COVID-19 hampers female fertility, given that there is no systematic and comprehensive evidence on the association of COVID-19 with female fertility.Methods and analysisWe will systematically search cohort studies, cross-sectional studies, case-control studies and self-controlled case series designs in the following databases: Web of Science, PubMed, EMBASE, Cochrane Library, Ovid, EBSCO, WHO COVID-19 Database, Chinese Biomedical Databases, China National Knowledge Internet, VIP and WanFang Database. Medical Subject Headings and free-text terms for "COVID-19" AND "female" AND "fertility" will be performed. Eligibility criteria are as follows: population (female patients aged 13-49 years); exposure (infection with SARS-CoV-2); comparison (population without SARS-CoV-2 infections or latent SARS-CoV-2 infections); and outcome (female fertility, such as ovarian reserve function, uterine receptivity, oviducts status and menstruation status). Article screening and data extraction will be undertaken independently by two reviewers, and discrepancies will be resolved through discussion. We will use the I2 statistics to assess the heterogeneity and perform a meta-analysis when sufficiently homogeneous studies are provided. Otherwise, a narrative synthesis will be performed. We will explore the potential sources of heterogeneity using subgroup analyses and meta-regression.Ethics and disseminationFormal ethical approval is not required, and findings will be published in a peer-reviewed journal.Prospero registration numberCRD42020189856.
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