Psychological problems and reduced health-related quality of life in the COVID-19 survivors

A novel approach to anxiety level prediction using small sets of judgment and survey variables

Anxiety, a condition characterized by intense fear and persistent worry, affects millions each year and, when severe, is distressing and functionally impairing. Numerous machine learning frameworks have been developed and tested to predict features of anxiety and anxiety traits. This study extended these approaches by using a small set of interpretable judgment variables (n = 15) and contextual variables (demographics, perceived loneliness, COVID-19 history) to (1) understand the relationships between these variables and (2) develop a framework to predict anxiety levels [derived from the State Trait Anxiety Inventory (STAI)]. This set of 15 judgment variables, including loss aversion and risk aversion, models biases in reward/aversion judgments extracted from an unsupervised, short (2-3 min) picture rating task (using the International Affective Picture System) that can be completed on a smartphone. The study cohort consisted of 3476 de-identified adult participants from across the United States who were recruited using an email survey database. Using a balanced Random Forest approach with these judgment and contextual variables, STAI-derived anxiety levels were predicted with up to 81% accuracy and 0.71 AUC ROC. Normalized Gini scores showed that the most important predictors (age, loneliness, household income, employment status) contributed a total of 29-31% of the cumulative relative importance and up to 61% was contributed by judgment variables. Mediation/moderation statistics revealed that the interactions between judgment and contextual variables appears to be important for accurately predicting anxiety levels. Median shifts in judgment variables described a behavioral profile for individuals with higher anxiety levels that was characterized by less resilience, more avoidance, and more indifference behavior. This study supports the hypothesis that distinct constellations of 15 interpretable judgment variables, along with contextual variables, could yield an efficient and highly scalable system for mental health assessment. These results contribute to our understanding of underlying psychological processes that are necessary to characterize what causes variance in anxiety conditions and its behaviors, which can impact treatment development and efficacy.

Long-Term effects of COVID-19: a review of current perspectives and mechanistic insights

Although SARS-CoV-2, responsible for COVID-19, is primarily a respiratory infection, a broad spectrum of cardiac, pulmonary, neurologic, and metabolic complications can occur. More than 50 long-term symptoms of COVID-19 have been described, and as many as 80% of patients may develop ≥1 long-term symptom. To summarize current perspectives of long-term sequelae of COVID-19, we conducted a PubMed search describing the long-term cardiovascular, pulmonary, gastrointestinal, and neurologic effects post-SARS-CoV-2 infection and mechanistic insights and risk factors for the above-mentioned sequelae. Emerging risk factors of long-term sequelae include older age (≥65 years), female sex, Black or Asian race, Hispanic ethnicity, and presence of comorbidities. There is an urgent need to better understand ongoing effects of COVID-19. Prospective studies evaluating long-term effects of COVID-19 in all body systems and patient groups will facilitate appropriate management and assess burden of care. Clinicians should ensure patients are followed up and managed appropriately, especially those in at-risk groups. Healthcare systems worldwide need to develop approaches to follow-up and support patients recovering from COVID-19. Surveillance programs can enhance prevention and treatment efforts for those most vulnerable.

Memory alterations after COVID-19 infection: a systematic review

SARS-CoV-2 infection has a wide range of both acute and long-term symptoms. Memory alterations have been frequently reported in studies that explore cognition. The main objective of the systematic review is to update and further analyze the existing evidence of objective memory impairments in long-COVID-19 considering sample and study design characteristics, as well as to explore associations between memory performance and their epidemiological, clinical, and pathological features. A total of 13 studies were identified by searching in PubMed, Web of Science, and PsycInfo databases up to May 6, 2022. Most studies evaluated verbal component of memory in the short-term and long-term recall up to 30 min and mainly performed a single assessment completed at 4-6 months after the infection. The samples mainly consisted of middle-aged adults that required hospitalization. Samples were not stratified by sex, age, and severity. Poor verbal learning was reported in most cases (6-58%), followed by deficits in long-term (4-58%) and short-term (4-37%) verbal memory. Visuospatial component of memory was studied less than verbal component, showing impairment of long-term retention of visual items (10-49%). COVID-19 severity in the acute stage was not systematically associated with poor memory performance. Verbal memory deficits were associated with anxiety and depression. The existing literature on objective memory assessment in long-COVID suggests further research is warranted to confirm memory dysfunction in association with epidemiological, pathological, and clinical factors, using both verbal and visuospatial tests, and exploring in deep long-term memory deficits.

Prevalence and factors associated with depression and anxiety among COVID-19 survivors in Dhaka city

Background

Coronavirus disease 2019 (COVID-19) is a global public health concern. Evidence shows that depression and anxiety are common among patients with COVID-19 after recovery. About one-third of the total COVID-19 cases in Bangladesh have been reported in Dhaka city. Therefore, the study aimed to evaluate the prevalence of depression and anxiety among COVID-19 survivors in Dhaka city as well as to identify the factors associated with these mental health conditions.

Methods

A cross-sectional study was carried out among a total of 384 COVID-19 survivors aged 18 years or older. Data collection was done through face-to-face and telephone interviews using a semi-structured questionnaire. Patient Health Questionnaire (PHQ-9) and Generalized Anxiety Disorder (GAD-7) scales were used to assess depression and anxiety, respectively. Binary logistic regression analysis was performed to identify the predictors of depression and anxiety among patients recovered from COVID-19.

Results

The overall prevalence of depression and anxiety was 26.0% and 23.2%, respectively among COVID-19 survivors. The respondents who were ≥60 years were 2.62 and 3.02 times more likely to report depressive and anxiety symptoms, respectively than those aged 18 to 39 years. Hospitalised patients recovered from COVID-19 had a 2.18 times higher chance of developing anxiety than their non-hospitalised counterparts. COVID-19 recovered patients with comorbidities were at 3.35 and 2.97 times higher risk of depression and anxiety, respectively compared to those without comorbidities. Similarly, the respondents who had already passed a period of 15 days to 3 months after recovery showed 3.06 and 1.85 times higher odds of depression and anxiety, respectively than those who had already passed a period of above 3 to 6 months after recovery.

Conclusion

The study reported a high prevalence of depression and anxiety among COVID-19 survivors living in Dhaka city. The findings suggest the need for appropriate interventions to reduce mental health complications in COVID-19 survivors.

Psychological state and predictors of psychiatric morbidity in COVID-19 patients six weeks after discharge

To be able to detect possible psychological distress and long-term deterioration caused by COVID-19, following the patient, who has recovered, is crucial. Therefore, this study (i); aims to examine the ongoing fear-loss of control, the rate of anxiety, depression, and post-traumatic stress disorder levels following the 6th week after discharge; (ii) to examine the effect of post-traumatic stress disorder on anxiety, and depression and (iii) within the same context to reveal the developmental markers of psychiatric morbidity and the risk group. The study includes 180 patients who were hospitalized with COVID-19 diagnosis. Sociodemographic Data Form, the Hospital Anxiety Depression Scale and the Impact of Event Scale-Revised were used in the current study. High rates of symptoms of anxiety, depression, and PTSD were reported by the inpatients, as more than one-third scored above the anxiety and depression cut-off scores of borderline abnormal and abnormal. Also, 37.22 % of the participants reported the likely presence of PTSD symptoms. Anxiety and depression were significantly positively related to the symptoms of PTSD. The results suggest that there is psychiatric morbidity in anxiety, depression, and post-traumatic stress disorder and that especially posttraumatic stress poses a risk for other psychopathologies.

Health-Related Quality of Life for Jordanian-Recovered Individuals During Post-COVID-19 Era: A Cross-Sectional Study

Aim

This study aims to determine health-related quality of life (HRQoL) that includes the physical and mental health of recovered patients of COVID-19 and examines the significant impact of variables such as period of infection, sample demographics characteristics, hospitalization past, and chronic disease past and the other variables on HRQoL of COVID-19-recovered patients.

Methods

An exploratory, community-based, cross-sectional research layout was adopted, using an electronic self-reporting survey disseminated online to recovered COVID-19 patients in Jordan. Targeted COVID-19 patients were individuals who were 18 years old or above. They had a documented background of COVID-19 illness, as stated in the following inclusion requirements: Those who had not been formally proven to have been afflicted by COVID-19 were excluded.

Results

The mean of the physical well-being of study participants during COVID-19 was M=68.00 (SD=6.95), representing medium physical well-being status. The mean of psychological well-being of study participants during COVID-19 was M=60.20 (SD=8.85), representing medium physical health. Multiple regression showed that female recovered patients who are not working, with a low level of income, married women, and who getting COVID-19 more than once are having lower health-related quality of life compared to other recovered patients.

Conclusion

The HRQoL of COVID-19 patients was significantly impacted, independent of the period since hospitalization or rehabilitation. Policymakers and health workers should research strong ways to enhance the HRQoL of COVID-19 patients as soon as possible. Elderly patients and those who have been infected more than one time and being hospitalized have a greater probability of decreased HRQoL after infection.

Health-related quality of life and depressive symptoms of patients with chronic diseases and the general population before and during the COVID-19 pandemic in Korea

Objective

The unprecedented coronavirus disease 2019 (COVID-19) outbreak has resulted in a global crisis that negatively impacted physical well-being and mental health. Our goal was to investigate the impact of the COVID-19 pandemic on health-related quality of life (HRQoL) and depressive symptoms in patients with chronic diseases and the general population in Korea.

Methods

Data from 8341 patients with chronic diseases and 12,395 general population aged ≥20 years who participated in the Korea National Health and Nutrition Examination Survey (2017-2020) were analyzed. Patients with hypertension, dyslipidemia, diabetes, cerebrovascular disease (stroke), heart disease (myocardial infarction or angina pectoris), or cancer were classified as patients with chronic diseases. The general population was defined as those not suffering from corresponding chronic diseases. A modified EuroQol-5 Dimensions (EQ-5D), with three levels (0: extreme problems; 0.5: some problems; 1: no problems) for each dimension in EQ-5D, was used to assess HRQoL. To analyze depressive symptoms among patients with chronic diseases and the general population, we used the Patient Health Questionnaire-9 (PHQ-9) and defined a PHQ-9 score ≥ 10 as having a depressive symptom. Multivariate linear and logistic regression analyses were used to analyze HRQoL and depressive symptoms before and during the COVID-19 pandemic.

Results

The HRQoL level was significantly lower in patients with chronic diseases compared to the general population on all dimensions both before and during the COVID-19 pandemic (all value of p < 0.05). Patients with chronic diseases had significantly lower HRQoL levels associated with the anxiety/depression dimension during the COVID-19 pandemic than in the pre-pandemic period (0.940 ± 0.002 vs. 0.929 ± 0.004, value of p = 0.041). In addition, patients with chronic diseases were more likely to report depressive symptoms during the COVID-19 pandemic than in the pre-pandemic period (Odds ratio (OR): 1.755, 95% confidence interval (CI): 1.209-2.546, value of p = 0.003). However, this association was not observed in the general population (OR: 1.275, 95% CI: 0.933-1.742, value of p = 0.13).

Conclusion

The COVID-19 pandemic affected the HRQoL and psychological health in patients with chronic diseases with higher anxiety/depression during the pandemic than in the pre-pandemic period. These results suggest that it is urgent to establish continuous management guidelines, including psychosocial management for high-risk groups, and to improve the existing healthcare system.

Long-COVID-19 clinical and health outcomes: an umbrella review

Background

A growing interest in long-term sequelae of COVID-19 has prompted several systematic literature reviews (SLRs) to evaluate long-COVID-19 effects. However, many of these reviews lack in-depth information on the timing, duration, and severity of these conditions.

Objectives

Our aim was to synthesize both qualitative and quantitative evidence on prevalence and outcomes of long-term effect of COVID-19 through an umbrella review.

Design

Umbrella review of relevant SLRs on long-COVID-19 in terms of prolonged symptoms and clinical conditions, and comprehensively synthesized the latest existing evidence.

Data Sources and Methods

We systematically identified and appraised prior systematic reviews/meta-analyses using MEDLINE, Embase, and Cochrane database of systematic review from 2020 to 2021 following the preferred reporting items for systematic reviews and meta-analyses guidance. We summarized and categorized all relevant clinical symptoms and outcomes in adults with COVID-19 using the Medical Dictionary for Regulatory Activities System Organ Class (MedDRA SOC).

Results

We identified 967 systematic reviews/meta-analyses; 36 were retained for final data extraction. The most prevalent SOC were social circumstances (40%), blood and lymphatic system disorders (39%), and metabolism and nutrition disorder (38%). The most frequently reported SOC outcomes within each MedDRA category were poor quality of life (59%), wheezing and dyspnea (19-49%), fatigue (30-64%), chest pain (16%), decreased or loss of appetite (14-17%), abdominal discomfort or digestive disorder (12-18%), arthralgia with or without myalgia (16-24%), paresthesia (27%) and hair loss (14-25%), and hearing loss or tinnitus (15%).

Conclusion

This study confirmed a high prevalence of several long COVID-19 outcomes according to the MedDRA categories and indicated that the majority of evidence was rated as moderate to low.

Registration

The review was registered at PROSPERO (https://www.crd.york.ac.uk/prospero/) (CRD42022303557).

S2k-Leitlinie SARS-CoV-2, COVID-19 und (Früh-) Rehabilitation – eine Kurzfassung mit allen Empfehlungen im Überblick

The consensus-based SARS-CoV-2, COVID-19, and Rehabilitation Practice Guideline provides recommendations that take both infection prevention and the pursuit of therapeutic goals in rehabilitation settings during the coronavirus pandemic into account. The Practice Guideline provides guidance how to prevent SARS-CoV-2 infections in rehabilitation settings in a first part. The guideline's second part addresses rehabilitation for patients affected by COVID-19 starting with interventions on intensive care units, during early rehabilitation, post-acute rehabilitation, in outpatient and community rehabilitation settings, as well as long-term care, e. g. for COVID-19 survivors with Long- or Post-COVID.The updated second version of the Practice Guideline (dating from 01.11.2021) is a consensus-based guideline developed by a representative panel of healthcare professionals from 15 medical societies covering various rehabilitation disciplines, infectious diseases, hospital hygiene, and epidemiology. The abbreviated version provides an overview of all recommendations given.

Health-Related Quality of Life of Moroccan COVID-19 Survivors: A Case-Control Study

Background: Research on COVID-19 has mostly focused on transmission, mortality and morbidity associated with the virus. However, less attention has been given to its impact on health-related quality of life (HRQoL) of patients with COVID-19. Therefore, this study aimed to determine the demographic and clinical risk factors associated with COVID-19 and evaluate its impact on the HRQoL of COVID-19 survivors. Methods: A case-control study was carried out between September 2021 and March 2022 on 1105 participants. A total of 354 were COVID-19 survivors and 751 were the control group. The HRQoL was assessed using both EQ-5D-5L and SF-6D generic instruments. Results: The average age of all participants was 56.17 ± 15.46. Older age, urban area, tobacco use, presence of chronic diseases especially type 1 diabetes, kidney and cardiovascular diseases were significantly associated with COVID-19. The COVID-19 survivors had significantly lower HRQoL (EQ-VAS = 50.89) compared to the control group (EQ-VAS = 63.36) (p-value < 0.0001). Pain/ discomfort and anxiety/depression were the most negatively affected by COVID-19 (p-value < 0.0001). Conclusions: The findings from this study could help healthcare professionals and policy makers to better understand the HRQoL sequelae among the COVID-19 survivors and contribute to develop tailored interventions.

Health-related quality of life and social determinants of health following COVID-19 infection in a predominantly Latino population

BACKGROUND

As the COVID-19 pandemic evolves, more information is needed on its long-term impacts on health-related quality of life (HRQoL) and social determinants of health (SDoH). The aim of the study was to assess HRQoL and SDoH among a predominantly Latino population of COVID-19 survivors and to compare effects in Latinos versus non-Latinos.

METHODS

This cross-sectional study consisted of a survey (in English and Spanish) of COVID-19 survivors from December 2020 to July 2021. The study assessed sociodemographic data, clinical characteristics, and SDoH, consisting of 10 COVID-19-related concerns. The PROMIS-29 + 2 (PROPr) measure, which captures 8 HRQoL domains and a preference-based health utility, was used to assess HRQoL. Bivariate analyses included chi-square tests and t-tests. Generalized linear models were conducted for multivariable analyses.

RESULTS

Of 230 respondents (6.3% response rate), the mean [SD] age was 43.1 [14.3] years; 83.0% were Latino; the mean [SD] time since diagnosis was 8.1 [3.2] months; and 12.6% had a history of hospitalization with COVID-19. HRQoL scores were slightly worse than population norms on all domains, especially anxiety; the mean [SD] PROPr health utility was 0.36 [0.25]. Domain scores were similar by ethnicity except for cognitive function-abilities, where scores were lower in Latinos. Multivariable analyses revealed that: (1) financial concerns were associated with worse health utility, as well as worse scores on all 8 PROMIS domains; (2) interpersonal conflict was associated with worse health utility and worse scores on 6 of the 8 PROMIS domains (anxiety, depression, fatigue, sleep disturbance, social function, and pain interference); and (3) Latino ethnicity was only associated with 1 PROMIS domain (cognitive function-abilities) after controlling for covariates.

CONCLUSION

COVID-19 infection is associated with HRQoL decrements long after the acute infection, and financial concerns and interpersonal conflict are particularly associated with worse HRQoL.

Impact of COVID-19 severity on health-related quality of life among Saudi adult patients

COVID-19 patients may experience varying degrees of symptom severity, significantly impacting the health-related quality of life. As a result, the current study examines the impact of symptom severity on health-related quality of life among Saudi adult COVID- 19 patients. In this cross-sectional study 310 adult COVID-19 patients were recruited through a snowball technique in Saudi Arabia. We used a questionnaire (SF-12 RAND tool questionnaire) that included three parts: sociodemographic factors, perception of degree severity of COVID-19 symptoms, and health-related quality of life (HRQoL). Out of 310 COVID-19 adult patients, 200 (64.5%) were female, 110 (35.5%) were between 30-49 years old. The mean scores of the HRQoL, physical components summary (PCS), and mental components summary (MCS) were 58.11±17.02, 71.32±23.72, and 44.91±17.94, respectively. Patients with very severe symptoms had the lowest HRQoL mean rank (120.39, P=0.023). There was a strong positive correlation between HRQoL and PCS (0.852) and HRQoL and MCS (0.730). However, PCS and MCS had a weak positive correlation (0.292). The severity of COVID-19 symptoms had a significant impact on HRQoL. Thus, it is essential to enhance the uptake of vaccines to decrease the risk of infections and avoid impact on quality of life.

Effects of tai chi and qigong on rehabilitation after COVID-19: a protocol for systematic review and meta-analysis

INTRODUCTION

COVID-19 is a public health emergency of international concern, which is characterised by rapid and widespread transmission, high mortality and complications. Several studies have shown the benefits of tai chi and qigong for recovery after COVID-19; however, no meta-analysis has been reported. Therefore, the purpose of this study is to evaluate the efficacy and safety of tai chi and/or qigong on rehabilitation after COVID-19 through a systematic review and meta-analysis to provide a reference and basis for clinical application.

METHODS AND ANALYSIS

This study will use the Cochrane Library, PubMed, Web of Science, Embase, China Knowledge Network, China Biomedical Literature Database, Chinese Scientific Journal Database and Wanfang Database. The time period is from the inception of the database to November 2021, with no language restrictions. Searches will be conducted using the subject terms "Taichi","Qigong" and "COVID-19" plus free-text words. Articles will be screened and collected by two reviewers independently. Included studies will be assessed for quality using the Cochrane Risk of Bias Assessment Tool. Statistical analyses will be performed using the Revman V.5.3 software. The primary outcomes include 1-second forced expiratory volume and 1-second forced vital capacity, oxygen saturation, total white cell count and quality of life score. Secondary outcomes include time to remission of major symptoms, incidence of adverse events, clinical cure rate and mortality. Subgroup and sensitivity analyses will also be used to explore and interpret the heterogeneity. This protocol is written based on the guideline of the Preferred Reporting Items for Systematic Reviews and Meta-analyses Protocol.

ETHICS AND DISSEMINATION

Ethical approval and consent are unnecessary because no primary data will be collected. The results will be disseminated through peer-reviewed publications.

PROSPERO REGISTRATION NUMBER

CRD42021288962.

Depression, Insomnia and Post-Traumatic Stress Disorder in COVID-19 Survivors: Role of Gender and Impact on Quality of Life

Evidence to date suggests that a significant proportion of COVID-19 patients experience adverse psychological outcomes and neuropsychiatric complications. The aim of this study was to evaluate the effect of SARS-CoV-2 infection and subsequent hospitalization on the mental health, sleep, and quality of life of COVID-19 survivors. Patients were assessed 1−2 months after hospital discharge using standardized screening tools for depression and anxiety (HADS), post-traumatic stress disorder (IES-R), insomnia (AIS), and quality of life (EQ-5D-5L). Sociodemographic factors, comorbidities, disease severity and type of hospitalization were also collected. Amongst the 143 patients included, mental health symptoms were common (depression—19%; anxiety—27%; traumatic stress—39%; insomnia—33%) and more frequently reported in female than in male patients. Age, smoking status, comorbidities and illness severity were not found to significantly correlate with the presence of mood, sleep, or stress disorders. Finally, quality of life was worse for patients requiring ICU (p = 0.0057) or a longer hospital stay (p < 0.001) but was unaffected by factors such as sex and other measured outcomes. These findings highlight the need for appropriate intervention to properly manage the immediate and enduring mental health complications of COVID-19.

Quality of Life of the Elderly during the COVID-19 Pandemic in Asian Countries: A Cross-Sectional Study across Six Countries

Background: Few studies have explored the determinants of health-related quality of life (HRQoL) in the elderly during the COVID-19 pandemic. Identifying these factors may help implement appropriate policies to enhance HRQoL in the elderly. Therefore, we aimed to identify the predictors of physical and mental component summary (PCS and MCS) scores of HRQoL in selected six low- and middle-income Asian countries. Methods: We conducted an online survey of older people aged ≥55 years in six countries: Bangladesh, Iran, Iraq, Malaysia, Palestine, and Sri Lanka. The Stark QoL questionnaire was used to measure the PCS and MCS scores. Univariate and multiple variable analyses after adjusting for confounders were performed to identify the possible predictors of PCS and MCS. Results: A total of 1644 older people (69.1 ± 7.8 years, range 55−97 years, Female: 50.9%) responded to the survey. We documented age, country of residence, marital status, number of male children, current employment status, and health insurance, ability to pay household bills, frequency of family members visits and receiving support during COVID-19 pandemic predicted both PCS and MCS. However, gender, residence, and number of female children were associated with PCS only (all p < 0.05). Conclusion: Socio-demographic factors such as age, country of residence, marital status, number of male children, current employment status, health insurance, ability to pay household bills, frequency of family members visiting family members, and receiving support during the COVID-19 pandemic affecting both physical and mental quality of life. These results can guide formulating health care planning policies to enhance QoL during COVID-19 and future pandemics in the elderly.