Psychological distress among survivors of moderate-to-critical COVID-19 illness: a multicentric prospective cross-sectional study
TL;DR: In this article, the authors calculate the prevalence of psychological distress in moderate-to-critical survivors of Coronavirus disease-2019 (COVID-19) and propose a formal psychiatric assessment and long-term follow-up.
Abstract: Purpose: Coronavirus disease-2019 (COVID-19) is predicted to have long-term sequelae on the physical and mental health of survivors. We aim to calculate the prevalence of psychological distress in moderate-to-critical survivors of COVID-19. Materials and Methods: The patients discharged from the hospital after moderate-to-critical COVID-19 were interviewed using e-mail at 30 and 60 days for anxiety, depression, and posttraumatic stress disorder (PTSD) using Generalized Anxiety Disorder-7, Patient Health Questionnaire-9, and PTSD Check List-5 questionnaire, respectively. Results: In 103 patients (96% were immigrant workers), the prevalence rate of clinically significant anxiety, depression, and PTSD was 21.4%, 12.7%, and 8.7% at day 30 and 9.5%, 7.1%, and 4.7% at day 60, respectively. There was significantly higher anxiety in patients of Indian nationality and depression with preexisting chronic illness. Conclusion: There is a high prevalence rate of clinically significant psychological distress among COVID-19 survivors, and we propose a formal psychiatric assessment and long-term follow-up.
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TL;DR: In this paper, a meta-analysis was conducted to estimate the pooled prevalence of mental disorders among COVID-19 survivors, and the authors found high heterogeneity among the included studies.
Abstract: Objective This meta-analysis aims to estimate the pooled prevalence of mental disorders among COVID-19 survivors. Methods The databases Pubmed, Google Scholar, ScienceDirect, and medRxiv have been searched up to 1 August 2021 using COVID-19, survivors, mental disorders, and their related MeSH terms. The included studies were either cross-sectional, cohort, or case-control in design. Those studies included COVID-19 survivors after 14 or more days from their COVID-19 recovery and used validated questionnaires to assess their mental health outcomes. The random-effects model was used to pool the data from the incorporated studies. The heterogeneity was assessed using Cochran's Q heterogeneity test and I2 statistic. Results Twenty-seven studies were included in the data synthesis with a total sample size of 9605 COVID-19 survivors. The prevalence rates for Post-Traumatic Stress Disorder (PTSD), anxiety, psychological distress, depression, and sleeping disorders were 20% (95% CI = 16-24%), 22% (95% CI = 18-27%), 36% (95% CI = 22-51%), 21% (95% CI = 16-28%), and 35% (95% CI = 29-41%), respectively. Conclusions Although we found high heterogeneity across the included studies, our meta-analysis provides evidence that there are psychological sequelae in COVID-19 survivors that require medical assiduity as well as further research on the matter.KEY POINTSIncreased prevalence of psychological sequelae among COVID-19 survivors.The prevalence of PTSD was 20% (95% CI = 16-24%) and of anxiety was 22% (95% CI = 18-27%) among COVID-19 survivors.The prevalence of psychological distress was 36% (95% CI = 22-51%), of depression was 21% (95% CI = 16-28%), and of sleep disorders was 35% (95% CI = 29-41%) among COVID-19 survivors.Future researches are recommended to search for effective and safe methods to mitigate the psychological sequelae in COVID-19 patients.
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TL;DR: In this article , a framework is proposed to conceptualize three domains of risk factors (pathophysiologic, iatrogenic, and situational) associated with psychological morbidity caused by COVID-19 critical illness.
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TL;DR: In this paper , the authors correct the article DOI: 10.1016/j.eclinm.2022.101762 and 10.10.2021.]
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TL;DR: In this paper , the authors conducted a systematic review to summarize the available evidence about the main psychiatric manifestations of Long-COVID syndrome (LC) and found that participants reported the following psychiatric symptoms: depression, anxiety, post-traumatic symptoms (PTS), cognitive and sleeping disturbances (i.e., insomnia or hypersomnia).
Abstract: Objective People who have been infected by COVID-19 showing persistent symptoms after 4 weeks from recovery are thought to suffer from Long-COVID syndrome (LC). There is uncertainty on the clinical manifestations of LC. We undertook a systematic review to summarize the available evidence about the main psychiatric manifestations of LC. Method PubMed (Medline), Scopus, CINHAL, PsycINFO, and EMBASE were searched until May 2022. Studies reporting estimation of emerging psychiatric symptoms and/or psychiatric diagnoses among adult people with LC were included. Pooled prevalence for each psychiatric condition was calculated in absence of control groups to compare with. Results Thirty-three reports were included in the final selection, corresponding to 282,711 participants with LC. After 4 weeks from COVID-19 infection recovery, participants reported the following psychiatric symptoms: depression, anxiety, post-traumatic symptoms (PTS), cognitive and sleeping disturbances (i.e., insomnia or hypersomnia). The most common psychiatric manifestation resulted to be sleep disturbances, followed by depression, PTS, anxiety, and cognitive impairment (i.e., attention and memory deficits). However, some estimates were affected by important outlier effect played by one study. If study weight was not considered, the most reported condition was anxiety. Conclusions LC may have non-specific psychiatric manifestations. More research is needed to better define LC and to differentiate it from other post-infectious or post-hospitalization syndromes. Systematic review registration PROSPERO (CRD42022299408).
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TL;DR: In this paper , the mediating role of coping styles in the relationship between life orientation and psychological distress among COVID-19 patients was investigated. But the results showed that emotion-focused and avoidant coping mediate the relationship of life orientation with psychological distress.
Abstract: The coronavirus disease (COVID-19) pandemic has not only brought the risk of death but has brought unbearable psychological pressures to the people. Mental health of COVID patients is expected to be affected by the continuous spread of the pandemic. This study aims to find the mediating role of coping styles in the relationship between life orientation and psychological distress among COVID recovered patients. It was hypothesized that: life orientation is likely to have a relationship with coping; coping is likely to have a relationship with psychological distress and coping is likely to mediate the relationship between life orientation and psychological distress among patients recovered from COVID. For this purpose, 378 COVID-10 recovered patients’ men (190) and women (188). Urdu translations of the Life Orientation scale revised, Brief Coping Orientation to Problem Experienced (COPE) and Impact of event scales were used to collect data. Results show that emotion-focused and avoidant coping mediate the relationship between life orientation and psychological distress. The research has implications for mental health practitioners and individuals dealing with health-related issues.
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TL;DR: In addition to making criteria-based diagnoses of depressive disorders, the PHQ-9 is also a reliable and valid measure of depression severity, which makes it a useful clinical and research tool.
Abstract: OBJECTIVE: While considerable attention has focused on improving the detection of depression, assessment of severity is also important in guiding treatment decisions. Therefore, we examined the validity of a brief, new measure of depression severity.
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TL;DR: Results indicate that the PCL-5 is a psychometrically sound measure of PTSD symptoms, and implications for use of the PCl-5 in a variety of assessment contexts are discussed.
Abstract: The Posttraumatic Stress Disorder Checklist (PCL) is a widely used DSM-correspondent self-report measure of PTSD symptoms. The PCL was recently revised to reflect DSM-5 changes to the PTSD criteria. In this article, the authors describe the development and initial psychometric evaluation of the PCL for DSM-5 (PCL-5). Psychometric properties of the PCL-5 were examined in 2 studies involving trauma-exposed college students. In Study 1 (N = 278), PCL-5 scores exhibited strong internal consistency (α = .94), test-retest reliability (r = .82), and convergent (rs = .74 to .85) and discriminant (rs = .31 to .60) validity. In addition, confirmatory factor analyses indicated adequate fit with the DSM-5 4-factor model, χ2 (164) = 455.83, p < .001, standardized root mean square residual (SRMR) = .07, root mean squared error of approximation (RMSEA) = .08, comparative fit index (CFI) = .86, and Tucker-Lewis index (TLI) = .84, and superior fit with recently proposed 6-factor, χ2 (164) = 318.37, p < .001, SRMR = .05, RMSEA = .06, CFI = .92, and TLI = .90, and 7-factor, χ2 (164) = 291.32, p < .001, SRMR = .05, RMSEA = .06, CFI = .93, and TLI = .91, models. In Study 2 (N = 558), PCL-5 scores demonstrated similarly strong reliability and validity. Overall, results indicate that the PCL-5 is a psychometrically sound measure of PTSD symptoms. Implications for use of the PCL-5 in a variety of assessment contexts are discussed.
2,774 citations
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TL;DR: The 2019 novel coronavirus (2019-nCoV) pneumonia, believed to have originated in a wet market in Wuhan, Hubei province, China at the end of 2019, has gained intense attention nationwide and globally and a range of measures has been urgently adopted.
2,447 citations
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University of Southampton1, University Hospital Southampton NHS Foundation Trust2, University of Newcastle3, Walton Centre4, University of Liverpool5, National Institute for Health Research6, King's College London7, University of Utah8, UCL Institute of Neurology9, University of Cambridge10, University of Edinburgh11, Manchester Academic Health Science Centre12, University of Oxford13, University College London14, Royal Victoria Infirmary15
TL;DR: This is the first nationwide, cross-specialty surveillance study of acute neurological and psychiatric complications of COVID-19 and provides valuable and timely data that are urgently needed by clinicians, researchers, and funders.
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TL;DR: The COVID-19 pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is of a scale not seen since the 1918 influenza pandemic and the proportion of infections leading to neurological disease will probably remain small.
Abstract: Summary Background The COVID-19 pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is of a scale not seen since the 1918 influenza pandemic. Although the predominant clinical presentation is with respiratory disease, neurological manifestations are being recognised increasingly. On the basis of knowledge of other coronaviruses, especially those that caused the severe acute respiratory syndrome and Middle East respiratory syndrome epidemics, cases of CNS and peripheral nervous system disease caused by SARS-CoV-2 might be expected to be rare. Recent developments A growing number of case reports and series describe a wide array of neurological manifestations in 901 patients, but many have insufficient detail, reflecting the challenge of studying such patients. Encephalopathy has been reported for 93 patients in total, including 16 (7%) of 214 hospitalised patients with COVID-19 in Wuhan, China, and 40 (69%) of 58 patients in intensive care with COVID-19 in France. Encephalitis has been described in eight patients to date, and Guillain-Barre syndrome in 19 patients. SARS-CoV-2 has been detected in the CSF of some patients. Anosmia and ageusia are common, and can occur in the absence of other clinical features. Unexpectedly, acute cerebrovascular disease is also emerging as an important complication, with cohort studies reporting stroke in 2–6% of patients hospitalised with COVID-19. So far, 96 patients with stroke have been described, who frequently had vascular events in the context of a pro-inflammatory hypercoagulable state with elevated C-reactive protein, D-dimer, and ferritin. Where next? Careful clinical, diagnostic, and epidemiological studies are needed to help define the manifestations and burden of neurological disease caused by SARS-CoV-2. Precise case definitions must be used to distinguish non-specific complications of severe disease (eg, hypoxic encephalopathy and critical care neuropathy) from those caused directly or indirectly by the virus, including infectious, para-infectious, and post-infectious encephalitis, hypercoagulable states leading to stroke, and acute neuropathies such as Guillain-Barre syndrome. Recognition of neurological disease associated with SARS-CoV-2 in patients whose respiratory infection is mild or asymptomatic might prove challenging, especially if the primary COVID-19 illness occurred weeks earlier. The proportion of infections leading to neurological disease will probably remain small. However, these patients might be left with severe neurological sequelae. With so many people infected, the overall number of neurological patients, and their associated health burden and social and economic costs might be large. Health-care planners and policy makers must prepare for this eventuality, while the many ongoing studies investigating neurological associations increase our knowledge base.
884 citations