Prevalence of Post-traumatic Stress Symptoms and Its Associations With Quality of Life, Demographic and Clinical Characteristics in COVID-19 Survivors During the Post-COVID-19 Era

Factors associated with cognitive impairment and the quality-of-life among COVID-19 survivors working as healthcare workers

Prolonged physical and mental health changes, known as post-COVID conditions (PCC), could impair the quality-of-life (QoL) of healthcare workers. The aim of this study was to identify factors that contribute to cognitive impairments and QoL among COVID-19 survivors working as healthcare workers. This cross-sectional study involved healthcare workers at Prof. Dr. Chairuddin P. Lubis Universitas Sumatera Utara Hospital, Medan, Indonesia. The Montreal Cognitive Assessment (MoCA) was used to assess the cognitive function, while the World Health Organization Quality-of-Life Brief Version (WHOQOL-BREF) questionnaire was used to evaluate the QoL. Factors associated with cognitive and QoL status were examined using Mann-Whitney and Chi-squared tests. A total of 100 COVID-19 survivors were included in the study, most of whom were female (74%), aged ≤35 years (95%), and were doctors (62%). Only 22% of the participants had a normal BMI, 93% had a history of mild COVID-19, and 54% had one comorbidity. The Overall MoCA score averaged 24.18±2.86, indicating mild cognitive impairment among the groups. The distribution of MoCA scores had similar patterns with no significant differences based on age, gender, comorbidities, BMI, COVID-19 severity, and frequency of COVID-19 infection. Interestingly, the number of vaccine doses received by the participants had a statistically significant associated with MoCA scores of which those receiving more than two doses had higher cognitive scores than those with only two doses (p=0.008). Based on categorized MoCA scores (normal vs cognitive impairment), none assessed factors were not significantly associated with cognitive outcomes. The WHOQOL-BREF scores ranged from 62.5 to 95.5, with a mean±SD of 83.67±7.03. None of the assessed factors were associated with WHOQOL-BREF scores among COVID-19 survivors. These findings highlight the need for further study to explore the protective role of vaccination frequency in cognitive impairment and the factors underlying the resilience in QoL among survivors.

Impact of long COVID-19 on posttraumatic stress disorder as modified by health literacy: an observational study in Vietnam

BACKGROUND

The prevalence of posttraumatic stress disorder (PTSD) has increased, particularly among individuals who have recovered from coronavirus disease 2019 (COVID-19) infection. Health literacy is considered a "social vaccine" that helps people respond effectively to the pandemic. We aimed to investigate the association between long COVID-19 and PTSD, and to examine the modifying role of health literacy in this association.

METHODS

A cross-sectional study was conducted at 18 hospitals and health centers in Vietnam from December 2021 to October 2022. We recruited 4,463 individuals who had recovered from COVID-19 infection for at least 4 weeks. Participants provided information about their sociodemographics, clinical parameters, health-related behaviors, health literacy (using the 12-item short-form health literacy scale), long COVID-19 symptoms and PTSD (Impact Event Scale-Revised score of 33 or higher). Logistic regression models were used to examine associations and interactions.

RESULTS

Out of the study sample, 55.9% had long COVID-19 symptoms, and 49.6% had PTSD. Individuals with long COVID-19 symptoms had a higher likelihood of PTSD (odds ratio [OR], 1.86; 95% confidence interval [CI], 1.63-2.12; p<0.001). Higher health literacy was associated with a lower likelihood of PTSD (OR, 0.98; 95% CI, 0.97-0.99; p=0.001). Compared to those without long COVID-19 symptoms and the lowest health literacy score, those with long COVID-19 symptoms and a 1-point health literacy increment had a 3% lower likelihood of PTSD (OR, 0.97; 95% CI, 0.96-0.99; p=0.001).

CONCLUSION

Health literacy was found to be a protective factor against PTSD and modified the negative impact of long COVID-19 symptoms on PTSD.

Pandemic-Related Post-traumatic Stress Symptomatology in COVID-19 Patients with and without Post-COVID Conditions

Trauma and stressor-related symptoms have been frequently reported during the COVID-19 pandemic. Few studies compare post-traumatic stress symptoms (PTSS) between patients and non-infected controls. Using data from an ongoing natural history study of COVID-19, this study compared PTSS between patients infected with SARS-CoV-2 during the first year of the pandemic and controls. Within the COVID-19 patient cohort, we also compared PTSS between patients with and without post-COVID conditions, also known as post-acute sequelae of SARS-CoV-2 infection (PASC). This study also examined the association of PTSS with trait resilience and prior trauma exposure. PTSS were assessed using the Impact of Event Scaled-Revised (IES-R), which has a validated probable PTSD cutoff (score ≥33). The results showed that patients (n=131) reported significantly higher IES-R scores than controls (n=82) and had significantly higher odds of having scores indicative of PTSD [AOR: 4.17 p: 0.029]. IES-R scores among PASC patients (n=68) were significantly elevated compared to patients without PASC (n=63) and PASC patients did not have higher odds for probable PTSD [AOR: 2.60; p: 0.14]. Trait resilience was associated with lower PTSS. These findings help characterize the mental health impact of the COVID-19 illness experience and highlight elevated PTSS in patients with persistent post-COVID conditions.

Prevalence and network structure of post-traumatic stress symptoms and their association with suicidality among Chinese mental health professionals immediately following the end of China's Dynamic Zero-COVID Policy: a national survey

Studies on post-traumatic stress symptoms (PTSS) among mental health professionals (MHPs) are limited, particularly since restrictions due to coronavirus disease (COVID-19) have been lifted such as the recent termination of China's Dynamic Zero-COVID Policy. The current study filled this gap by exploring the prevalence, correlates, and network structure of PTSS as well as its association with suicidality from a network analysis perspective. A cross-sectional, national survey was conducted using a convenience sampling method on MHPs between January 22 and February 10, 2023. PTSS were assessed using the Post-Traumatic Stress Disorder Checklist-Civilian version, while suicidality was assessed using standardized questions related to ideation, plans, and attempts. Univariate and multivariate analyses examined correlates of PTSS. Network analysis explored the structure of PTSS and suicidality. The centrality index of "Expected influence" was used to identify the most central symptoms in the network, reflecting the relative importance of each node in the network. The "flow" function was adopted to identify specific symptoms that were directly associated with suicidality. A total of 10,647 MHPs were included. The overall rates of PTSS and suicidality were 6.7% (n = 715; 95% CI = 6.2-7.2%) and 7.7% (n = 821; 95% CI = 7.2-8.2%), respectively. Being married (OR = 1.523; P < 0.001), quarantine experience (OR = 1.288; P < 0.001), suicidality (OR = 3.750; P < 0.001) and more severe depressive symptoms (OR = 1.229; P < 0.001) were correlates of more PTSS. Additionally, higher economic status (e.g., good vs. poor: OR = 0.324; P = 0.001) and health status (e.g., good vs. poor: OR = 0.456; P < 0.001) were correlates of reduced PTSS. PCL6 ("Avoiding thoughts"; EI = 1.189), PCL7 ("Avoiding reminders"; EI = 1.157), and PCL11 ("Feeling emotionally numb"; EI = 1.074) had the highest centrality, while PCL12 ("Negative belief"), PCL 16 ("Hypervigilance") and PCL 14 ("Irritability") had the strongest direct, positive associations with suicidality. A high prevalence of lingering PTSS was found among MHPs immediately after China's "Dynamic Zero-COVID Policy" was terminated. Avoidance and hyper-arousal symptoms should be monitored among at-risk MHPs after the COVID-19 pandemic and serve as potential targets for the prevention and treatment of PTSS in this population.

Post-Traumatic Stress Disorder and Complex Post-Traumatic Stress Disorder in People with Long COVID, ME/CFS, and Controls

BACKGROUND

Prevalences of post-traumatic stress disorder (PTSD) and complex post-traumatic stress disorder (CPTSD) have not previously been compared between individuals with long coronavirus disease (COVID) and individuals with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), and healthy age-matched controls. For these reasons, this study aimed to determine the prevalence of PTSD and CPTSD in individuals with long COVID (n = 21) and ME/CFS (n = 20) and age-matched controls (n = 20).

METHODS

A case-case-control approach was employed; participants completed the International Trauma Questionnaire, a self-report measure of the International Classification of Diseases of PTSD and CPTSD consisting of 18 items. Scores were calculated for each PTSD and Disturbances in Self-Organization (DSO) symptom cluster and summed to produce PTSD and DSO scores. PTSD was diagnosed if the criteria for PTSD were met but not DSO, and CPTSD was diagnosed if the criteria for PTSD and DSO were met. Moreover, each cluster of PTSD and DSO were compared among individuals with long COVID, ME/CFS, and healthy controls.

RESULTS

Individuals with long COVID (PTSD = 5%, CPTSD = 33%) had more prevalence of PTSD and CPTSD than individuals with ME/CFS (PTSD = 0%, CPTSD = 20%) and healthy controls (PTSD = 0%, CPTSD = 0%). PTSD and CPTSD prevalence was greater in individuals with long COVID and ME/CFS than controls. Individuals with long COVID had greater values controls for all PTSD values. Moreover, individuals with long COVID had greater values than controls for all DSO values. Individuals with ME/CFS had greater values than controls for all DSO values. Both long COVID and ME/CFS groups differed in overall symptom scores compared with controls.

CONCLUSION

Findings of this study demonstrated that individuals with long COVID generally had more cases of PTSD and CPTSD than individuals with ME/CFS and healthy controls.

Associations between COVID-19 infection experiences and mental health problems among Chinese adults: A large cross-section study

OBJECTIVES

This study aimed to: 1) estimate the prevalence of the coronavirus disease 2019 (COVID-19) infection and mental health problems in Chinese adults, after the relaxation of the dynamic zero-COVID-19 policy; 2) examine the relationship between multi-dimensional variables related to COVID-19 infection and mental health symptoms; 3) explore the differences in the above relationship between healthcare workers (HCWs) and general populations.

METHOD

A large cross-sectional survey of residents in Beijing was conducted from January 13th to February 9th, 2023. A total of 53,762 adults were included in our analyses.

RESULTS

The infection rate of COVID-19 was 83.6 % in our study sample. The prevalence of depressive and post-traumatic stress symptoms (PTSS) was 20.0 % and 19.2 % in full sample, respectively. People with COVID-19 infection experience developed more mental health problems, especially for those still having physical symptoms. However, participants recovered from infection had lesser PTSS. Multi-dimensional variables related to COVID-19, i.e., infection status, frequency of infection, time from firstly tested positive, number, duration, severity of physical symptoms and the lowest SpO2, were all significantly associated with mental health symptoms. Occupational types were found to moderate the above relationships, and healthcare workers had less mental health symptoms though they had more infection exposure.

LIMITATION

This was a cross-sectional study, limiting the causal inference.

CONCLUSIONS

Multi-dimensional indicators related to COVID-19 infection are associated with mental health symptoms. The findings call for that more personalized mental health service should be delivered to the general populations with COVID-19 infection experience.

Prevalence, correlates, and network analysis of depression and its associated quality of life among ophthalmology nurses during the COVID-19 pandemic

Background

Nurses in Ophthalmology Department (OD) had a high risk of infection during the novel coronavirus disease 2019 (COVID-19) pandemic. This study examined the prevalence, correlates, and network structure of depression, and explored its association with quality of life (QOL) in Chinese OD nurses.

Methods

Based on a cross-sectional survey, demographic and clinical data were collected. Depression was measured with the 9-item Self-reported Patient Health Questionnaire (PHQ-9), and QOL was measured using the World Health Organization Quality of Life Questionnaire-brief version (WHOQOL-BREF). Univariate analyses, multivariate logistic regression analyses, and network analyses were performed.

Results

Altogether, 2,155 OD nurses were included. The overall prevalence of depression among OD nurses was 32.71% (95%CI: 30.73-34.70%). Multiple logistic regression analysis revealed that having family or friends or colleagues who were infected (OR = 1.760, p = 0.003) was significantly associated with higher risk of depression. After controlling for covariates, nurses with depression reported lower QOL (F(1, 2,155) = 596.784, p < 0.001) than those without depression. Network analyses revealed that 'Sad Mood', 'Energy Loss' and 'Worthlessness' were the key central symptoms.

Conclusion

Depression was common among OD nurses during the COVID-19 pandemic. Considering the negative impact of depression on QOL and daily life, regular screening for depression, timely counselling service, and psychiatric treatment should be provided for OD nurses, especially those who had infected family/friends or colleagues. Central symptoms identified in network analysis should be targeted in the treatment of depression.

A network analysis of the long-term quality of life and mental distress of COVID-19 survivors 1 year after hospital discharge

Objectives

COVID-19 survivors suffer from persistent mental distress and impaired quality of life (QOL) after recovery from the infection. However, the symptom-symptom interaction between these psychological variables remained unexplored. The present study aimed to determine the symptom network of mental distress (depression, anxiety, sleep disturbance, fatigue, and post-traumatic stress disorder) and their association with QOL among 535 COVID-19 survivors 1 year after hospital discharge.

Methods

9-item Patient Health Questionnaire, 7-item Generalized Anxiety Disorder Scale, Chalder fatigue scale, Impact of Event Scale-Revised, Pittsburgh Sleep Quality Index, and 36-Item Short-Form Health Survey were applied to measure depression, anxiety, fatigue, PTSD, sleep disturbances, and QOL, respectively. Two networks were estimated using Gaussian graphical model. Network 1 consisted of mental symptoms to determine the central and bridge symptoms. Network 2 additionally included QOL to determine which mental symptoms were mostly related to QOL.

Results

60% of the COVID-19 survivors experienced mental distress 1 year after hospital discharge. Uncontrollable and excessive worry, psychomotor symptoms, intrusion, and daytime dysfunction were the most central symptoms. Daytime dysfunction and fatigue (especially mental fatigue and loss of energy) served as the bridge symptoms across the mental distress network and exhibited the most substantial association with QOL.

Conclusion

Our study demonstrated several key symptoms that played a vital role in mental distress and QOL among COVID-19 survivors. Prompt screening and targeted interventions for these symptoms might hold great promise in preventing mental distress and improving QOL in COVID-19 survivors.

The effect of exposure to COVID-19 on life satisfaction: The mediating role of hyperarousal and moderating/mediating role of affective forecasting

BACKGROUND

As a global trauma event, the Coronavirus disease (COVID-19) hugely impacts people's mental health and well-being. The purpose of our study is threefold: first, investigate the relationship between exposure to COVID-19 and life satisfaction among a large sample in China. Second, test the mediating role of hyperarousal in the association between exposure to COVID-19 and life satisfaction. Third, explore the moderating/mediating role of affective forecasting in the association between hyperarousal and life satisfaction.

METHOD

The current study recruited 5546 participants to complete a set of self-report questionnaires online from April 22, 2020 to April 24, 2020. The moderated mediation and chain mediation model analyses were conducted using the SPSS software and PROCESS macro program.

RESULTS

Exposure to COVID-19 negatively predicted life satisfaction (Effect = -0.058, p < 0.001). This relationship was partially mediated by the hyperarousal level (Effect = -0.018, CI = [-0.024, -0.013]). The moderating role of forecasted positive affect (PA)/forecasted negative affect (NA) between hyperarousal and life satisfaction was significant (β = 0.058, CI = [0.035, 0.081]; β = 0.037, CI = [0.014, 0.06]). The chain mediating effect of hyperarousal and forecasted PA/forecasted NA on the relationship between exposure to COVID-19 and life satisfaction was also significant (Effect = -0.003, CI = [-0.004, -0.002]; Effect = -0.006, CI = [-0.008, -0.004]).

LIMITATIONS

The cross-sectional design precludes causal inference.

CONCLUSION

Greater exposure to COVID-19 was associated with more severe hyperarousal symptoms, decreased life satisfaction. Forecasted PA and forecasted NA could moderate and mediate the negative impact of hyperarousal on life satisfaction. The moderating/mediating role of forecasted PA/NA implied that future interventions targeting at improving affective forecasting and reducing hyperarousal might be helpful to improve life satisfaction during the post-COVID-19 era.

Ruminative reminiscence predicts COVID-related stress symptoms while reflective reminiscence and social reminiscence predict post-COVID growth

Reminiscence refers to the process or act of thinking or telling about past experiences. Few studies address the relationship between reminiscence functions and trauma-related cognitions and emotions. This study aimed to expand the previous literature by investigating the frequency of different types of reminiscence during the COVID-19 pandemic and their relations to the likelihood of developing post-traumatic growth (PTG) and post-traumatic stress disorder (PTSD), using an adult sample. Altogether, 184 participants (Mage = 30.38; SD = 10.95) completed the Reminiscence Functions Scale to report the purposes for which they shared their experiences during the first two waves of COVID-19. They also responded to the COVID-Transitional Impact Scale, Post-Traumatic Stress Disorder Checklist for DSM-5, Post Traumatic Growth Inventory, Revised Form of The Multidimensional Scale of Perceived Social Support, and Connor-Davidson Resilience Scale, when considering the first two waves of COVID-19. The results demonstrated that pro-social reminiscence and self-positive reminiscence were significantly more common than self-negative reminiscence. Yet, these differences disappeared when the presence of COVID virus was controlled. Pro-social and self-positive reminiscence significantly predicted PTG beyond demographic characteristics, COVID-19 impact, social support, and resilience. In contrast, only self-negative reminiscence predicted PTSD beyond COVID-19 impact and demographic characteristics. Furthermore, serial mediation analysis indicated that pro-social reminiscence predicted PTG via its association with perceived social support and resilience. Our findings suggest the benefit of using reminiscence therapy-type interventions to facilitate PTG and reduce PTSD after large-scale disasters like pandemics.

Evaluation of post-COVID health status using the EuroQol-5D-5L scale

SARS-CoV-2 has had a lasting effect on the overall health of recovered patients, called 'long COVID'. Currently, there is a lack of a validated standard questionnaire to assess post-COVID health status. A retrospective observational study involving the recovered COVID patients admitted to a secondary care hospital in India between June to December 2020 (n = 123), was conducted using the EuroQol-5D-5L scale at discharge, 4 weeks and 8 weeks post-discharge. A significant difference in anxiety/depression scores was found (χ² = 65.6, p < 0.000) among the 3 categories of time (discharge, 4 weeks and 8 weeks). The anxiety/depression dimension scores showed a significant change (p < 0.0001) between discharge and 8 weeks, using paired t-test. Age had a significant relationship with the anxiety/depression dimension at 4 weeks (OR = 5.617, 95% CI = 1.0320-30.5746, p < 0.05). A significant difference was found using Kruskal-Wallis rank-sum test on mean index scores (χ² = 60.0, p < 0.000) among the three categories of time (discharge, 4 weeks and 8 weeks). There was a statistically significant difference of time on EQ Index scores as determined by one-way repeated measures ANOVA (F(2,375) = 18.941, p = <0.00001). Our study found time to have a statistically significant impact on the mean index scores, level sum scores and dimension scores. Smoking was found to be significantly associated with usual activity scores at 4 weeks. The most remarkable changes occurred in the anxiety/depression dimension. Overall, there was a general trend of health improvement.

Meta-analysis of prevalence: the psychological sequelae among COVID-19 survivors

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.

Does COVID-19 related symptomatology indicate a transdiagnostic neuropsychiatric disorder? - Multidisciplinary implications

The clinical presentation that emerges from the extensive coronavirus disease 2019 (COVID-19) mental health literature suggests high correlations among many conventional psychiatric diagnoses. Arguments against the use of multiple comorbidities for a single patient have been published long before the pandemic. Concurrently, diagnostic recommendations for use of transdiagnostic considerations for improved treatment have been also published in recent years. In this review, we pose the question of whether a transdiagnostic mental health disease, including psychiatric and neuropsychiatric symptomology, has emerged since the onset of the pandemic. There are many attempts to identify a syndrome related to the pandemic, but none of the validated scales is able to capture the entire psychiatric and neuropsychiatric clinical presentation in infected and non-infected individuals. These scales also only marginally touch the issue of etiology and prevalence. We suggest a working hypothesis termed Complex Stress Reaction Syndrome (CSRS) representing a global psychiatric reaction to the pandemic situation in the general population (Type A) and a neuropsychiatric reaction in infected individuals (Type B) which relates to neurocognitive and psychiatric features which are part (excluding systemic and metabolic dysfunctions) of the syndrome termed in the literature as long COVID. We base our propositions on multidisciplinary scientific data regarding mental health during the global pandemic situation and the effects of viral infection reviewed from Google Scholar and PubMed between February 1, 2022 and March 10, 2022. Search in-clusion criteria were “mental health”, “COVID-19” and “Long COVID”, English language and human studies only. We suggest that this more comprehensive way of understanding COVID-19 complex mental health reactions may promote better prevention and treatment and serve to guide implementation of recommended administrative regulations that were recently published by the World Psychiatric Association. This review may serve as a call for an international investigation of our working hypothesis.

Post-traumatic stress disorder, anxiety, depression and related factors among COVID-19 patients during the fourth wave of the pandemic in Vietnam

Background

This study investigated post-traumatic stress disorder (PTSD), anxiety, depression and their related factors among coronavirus disease 2019 (COVID-19) patients during the fourth wave of the pandemic in Vietnam.

Methods

Vietnamese-fluent confirmed COVID-19 patients for at least 3 d were recruited in this online cross-sectional study to answer a three-part questionnaire including participants’ sociodemographic characteristics, PTSD (Impact of Event Scale-Revised) and anxiety and depression (Hospital Anxiety and Depression Scale). Associated factors were determined using multivariable binary logistic regression models.

Results

Of 1544 responses, the majority were female (53.0%), ages 18–39 y (74.8%) and were isolated and treated at field hospitals (72.2%). Family or friends were the greatest sources of mental support (68.2%), followed by healthcare providers (51.1%). The overall prevalence rates of PTSD, anxiety and depression among COVID-19 patients were 22.9%, 11.2% and 17.4%, respectively. Risk factors included older age, higher education, getting infected from the public, knowing someone who died from COVID-19 and high perception of life threat. Meanwhile, mental assistance from family or friends, a greater number of supporters, living with someone not vulnerable and higher salaries were significantly protective factors.

Conclusions

The psychological responses associated with some sociodemographic details. Family or friends should be the first line of mental interventions for COVID-19 patients.

Post-acute COVID-19 syndrome

Infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is responsible for the coronavirus disease 2019 (COVID-19) pandemic that has resulted in millions of deaths and a major strain on health systems worldwide. Medical treatments for COVID-19 (anticoagulants, corticosteroids, anti-inflammatory drugs, oxygenation therapy and ventilation) and vaccination have improved patient outcomes. The majority of patients will recover spontaneously or after acute-phase management, but clinicians are now faced with long-term complications of COVID-19 including a large variety of symptoms, defined as "post-acute COVID-19 syndrome". Most studies have focused on patients hospitalised for severe COVID-19, but acute COVID-19 syndrome is not restricted to these patients and exists in outpatients. Given the diversity of symptoms and the high prevalence of persistent symptoms, the management of these patients requires a multidisciplinary team approach, which will result in the consumption of large amounts of health resources in the coming months. In this review, we discuss the presentation, prevalence, pathophysiology and evolution of respiratory complications and other organ-related injuries associated with post-acute COVID-19 syndrome.

Comparison of Prevalence and Risk Factors of PTSS Between Chinese Patients With Depression and Non-depressed Controls During COVID-19 Outbreak

Background: COVID-19 pandemic is a traumatic event all over the world, and may lead to post-traumatic stress symptom (PTSS) in different population who are under the threat of novel corona virus. Therefore, the aim of our study was to compare the prevalence and risk factors of PTSS between Chinese patients with depression and non-depressed controls during the COVID-19 outbreak. Methods: 437 depressed patients and 2,940 non-depressed controls were enrolled in this cross-sectional study between February 14 and May 9, 2020.The Impact of Events Scale-Revised (IES-R), Zung Self-Rating Depression Scale (SDS), Zung Self-Rating Anxiety Scale (SAS) and Pittsburgh Sleep Quality Index (PSQI) were used to evaluate the psychological status of all the participants. Results: The prevalence of PTSS (IES-R ≥ 33) in depressed patients (45.08%) was higher than that in non-depressed controls (5.31%). Patients with depression were 16 times more likely to suffer from PTSS than those without depression. Correlation analyses showed that the IES-R total score was positively correlated with SDS, SAS, and PSQI scores in both depressed and non-depressed groups (Bonferroni corrected all p < 0.001). Multiple linear regression analysis showed that SAS score, and PSQI score were independently associated with IES-R total score in both depression and non-depression groups. In depressed patients, education level and duration of media exposure to COVID-19 were positively associated with PTSS, while in the non-depressed group, subjects who were married, in the 31-50 year group or with higher SDS score were more likely to develop PTSS. Conclusions: These results indicate that the prevalence rate of PTSS in patients with depression is very higher than that in subjects without depression. PTSS are associated with a number of socio-demographic and clinical variables.