Effect of Underlying Comorbidities on the Infection and Severity of COVID-19 in Korea: a Nationwide Case-Control Study

Severe Outcomes and Length of Stay Among People With Schizophrenia Hospitalized for COVID-19: A Population-Based Retrospective Cohort Study

BACKGROUND

Schizophrenia is associated with substantial physical and psychiatric comorbidities that increase the risk of severe outcomes in COVID-19 infection. However, few studies have examined the differences in care and outcomes among people with schizophrenia throughout the pandemic. We hypothesized that rates of in-hospital mortality, admission to the intensive care unit (ICU), and length of stay differed among people with and without schizophrenia.

STUDY DESIGN

We conducted a population-based retrospective cohort study using administrative health data from Ontario, Canada, which included individuals hospitalized for COVID-19 between February 2020 and October 2023. We compared mortality, ICU admission, and length of stay using regression models adjusted for age, sex, comorbidities, vaccination status, and sociodemographic characteristics.

STUDY RESULTS

We evaluated 66 959 hospital admissions, 4.3% (2884) of which involved people with schizophrenia. People with schizophrenia had a significantly decreased rate of ICU admission (adjusted Odds Ratio [OR]: 0.74 [0.67, 0.82]), a longer length of stay (adjusted RR: 1.25 [1.21, 1.30]), but a similar risk of mortality (adjusted OR: 1.09 [0.98, 1.22]) as people without schizophrenia. Age modified the relationship between schizophrenia and ICU admission. People with schizophrenia aged 60-75 were substantially less likely to be admitted to the ICU relative to those without (18.4% vs 26.5%, P < .001).

CONCLUSIONS

Our findings underscore disparities in care among people with and without schizophrenia. These disparities vary by age and suggest that people with schizophrenia may not be receiving the same level of care as people without schizophrenia hospitalized for COVID-19.

COVID-19 disease outcomes in patients receiving clozapine versus other antipsychotics: a national study in Qatar

Background

Clozapine has immunomodulatory effects that raised concerns about its potential to exacerbate severe COVID-19. This study examines whether clozapine use is associated with worse COVID-19 outcomes in patients with schizophrenia.

Methods

This retrospective cohort study compared COVID-19 outcomes in SARS-CoV-2-infected patients on clozapine versus those on other antipsychotics. Primary outcomes included severe disease, hospitalization, ICU admission, and mortality. Descriptive statistics summarized the data, with categorical variables analyzed via Chi-square tests and exact Fisher test. The continuous variables were analyzed via Student's t-test. Logistic and linear regression analyses estimated odds ratios while adjusting for confounders.

Results

Thirty-three patients on clozapine (29.7%) tested positive for SARS-CoV-2 and were compared to 132 SARS-CoV-2-positive patients on non-clozapine antipsychotics. Severe infection rates did not significantly differ (clozapine: 3%, non-clozapine: 7.69%, p = 0.340), nor did hospitalization rates (clozapine: 15.1%, non-clozapine: 16.9%, p = 0.807). All clozapine patients survived, while one death (0.7%) occurred in the non-clozapine group. The mean hospital stay was similar (clozapine: 8.8 days, SD = 2.2; non-clozapine: 11.5 days, SD = 1.9; p = 0.515). Logistic regression, correcting for age, sex, vaccination status, medical comorbidities, obesity, and smoking, found no significant associations: odds ratio for severe COVID-19 = 1.9 (95% CI: 0.1-12.0, p = 0.94); odds ratio for hospitalization = 0.96 (95% CI: 0.23-3.96, p = 0.953). Linear regression of hospital stay duration yielded a β-coefficient of 4.6 (95% CI: -9.4-18.7, p = 0.471). Peri- and post-infection white blood cell and neutrophil counts were not significantly different (p = 0.4298 and p = 0.1434, respectively).

Conclusion

Clozapine use was not associated with worse COVID-19 outcomes, supporting its relative safety during SARS-CoV-2 infection. These findings reassure clinicians regarding clozapine's continued use in treatment-resistant schizophrenia. However, the small clozapine sample size limits statistical power, warranting cautious interpretation and further research.

Community-engaged randomised controlled trial to disseminate COVID-19 vaccine-related information and increase uptake among Black individuals in two US cities with rheumatic conditions

INTRODUCTION

Inequities in COVID-19 infection and vaccine uptake among historically marginalised racial and ethnic groups in the USA persist. Individuals with rheumatic conditions, especially those who are immunocompromised, are especially vulnerable to severe infection, with significant racialised inequities in infection outcomes and in vaccine uptake. Structural racism, historical injustices and misinformation engender racial and ethnic inequities in vaccine uptake. The Popular Opinion Lleader (POL) model, a community-based intervention that trains trusted community leaders to disseminate health information to their social network members (eg, friends, family and neighbours), has been shown to reduce stigma and improve care-seeking behaviours.

METHODS AND ANALYSIS

This is a community-based cluster randomised controlled trial led by a team of community and academic partners to compare the efficacy of training POLs with rheumatic or musculoskeletal conditions using a curriculum embedded with a racial justice vs a biomedical framework to increase COVID-19 vaccine uptake and reduce vaccine hesitancy. This trial began recruitment in February 2024 in Boston, Massachusetts and Chicago, Illinois, USA. Eligible POLs are English-speaking adults who identify as Black and/or of African descent, have a diagnosis of a rheumatic or musculoskeletal condition and have received >=1 COVID-19 vaccine after 31 August 2022. POLs will be randomised to a 6-module virtual educational training; the COVID-19 and vaccine-related content will be the same for both groups however the framing for arm 1 will be with a racial justice lens and for arm 2, a biomedical preventative care-focused lens. Following the training, POLs will disseminate the information they learned to 12-16 social network members who have not received the most recent COVID-19 vaccine, over 4 weeks. The trial's primary outcome is social network member COVID-19 vaccine uptake, which will be compared between intervention arms.

ETHICS AND DISSEMINATION

This trial has ethical approval in the USA. This has been approved by the Mass General Brigham Institutional Review Board (IRB, 2023P000686), the Northwestern University IRB (STU00219053), the Boston University/Boston Medical Center IRB (H-43857) and the Boston Children's Hospital IRB (P00045404). Results will be published in a publicly accessible peer-reviewed journal.

TRIAL REGISTRATION NUMBER

NCT05822219.

Clinical outcomes of COVID-19 infection in patients with osteoporosis: a nationwide cohort study in Korea using the common data model

Many older patients with COVID-19 likely have co-morbid osteoporosis. We investigated the clinical outcomes of COVID-19 patients with osteoporosis. This was a retrospective cohort study using national claims data from Korea encoded in the common data model. Patients aged ≥ 50 years diagnosed with COVID-19 infection between January 2020 and April 2022 were included and stratified into two groups according to a history of osteoporosis. Clinical outcomes of COVID-19 infection were analyzed using logistic regression analysis after large-scale propensity score stratification. Of the 597,011 patients with COVID-19 included in the study, 105,172 had a history of osteoporosis. In patients with a history of osteoporosis, the odds of mortality decreased (odds ratio [OR] 0.82, P < 0.002), whereas most clinical outcomes of COVID-19 did not exhibit differences compared to those without such a history. Osteoporosis patients with a history of fractures showed increased odds of pneumonia, hospitalization, major adverse cardiac events, venous thromboembolism, and mortality, compared to patients without osteoporosis (ORs 1.34-1.58, P < 0.001 to P = 0.001). Our study suggests that patients with severe osteoporosis who have experienced fractures have an elevated risk of severe complications with COVID-19, while osteoporosis patients without fractures who have sought medical attention have a lower risk of mortality.

Individual risk factors associated with SARS-CoV-2 infection during Alpha variant in high-income countries: a systematic review and meta-analysis

Objectives

This study aimed to systematically appraise risk factors associated with SARS-CoV-2 infection in high-income countries during the period of predominance of the Alpha variant (January 2020 to April 2021).

Methods

Four electronic databases were used to search observational studies. Literature search, study screening, data extraction and quality assessment were conducted by two authors independently. Meta-analyses were conducted for each risk factor, when appropriate.

Results

From 12,094 studies, 27 were included. The larger sample size was 17,288,532 participants, more women were included, and the age range was 18-117 years old. Meta-analyses identified men [Odds Ratio (OR): 1.23, 95% Confidence Interval (CI): 1.97-1.42], non-white ethnicity (OR: 1.63, 95% CI: 1.39-1.91), household number (OR: 1.08, 95% CI: 1.06-1.10), diabetes (OR: 1.22, 95% CI: 1.08-1.37), cancer (OR: 0.82, 95% CI: 0.68-0.98), cardiovascular diseases (OR: 0.92, 95% CI: 0.84-1.00), asthma (OR: 0.83, 95% CI: 0.75-0.92) and ischemic heart disease (OR: 0.82, 95% CI: 0.74-0.91) as associated with SARS-CoV-2 infection.

Conclusion

This study indicated several risk factors for SARS-CoV-2 infection. Due to the heterogeneity of the studies included, more studies are needed to understand the factors that increase the risk for SARS-CoV-2 infection.

Systematic review registration

https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021244148, PROSPERO registration number, CRD42021244148.

Potentially inappropriate medication as a predictor of poor prognosis of COVID-19 in older adults: a South Korean nationwide cohort study

OBJECTIVES

To investigate the association between exposure to potentially inappropriate medication (PIM) and poor prognosis of COVID-19 in older adults, controlling for comorbidity and sociodemographic factors.

DESIGN AND SETTING

Nationwide retrospective cohort study based on the national registry of COVID-19 patients, established through the linkage of South Korea's national insurance claims database with the Korea Disease Control and Prevention Agency registry of patients with COVID-19, up to 31 July 2020.

PARTICIPANTS

A total of 2217 COVID-19 patients over 60 years of age who tested positive between 20 January 2022 and 4 June 2020. Exposure to PIM was defined based on any prescription record of PIM during the 30 days prior to the date of testing positive for COVID-19.

PRIMARY OUTCOME MEASURES

Mortality and utilisation of critical care from the date of testing positive until the end of isolation.

RESULTS

Among the 2217 COVID-19 patients over 60 years of age, 604 were exposed to PIM prior to infection. In the matched cohort of 583 pairs, PIM-exposed individuals exhibited higher rates of mortality (19.7% vs 9.8%, p<0.0001) and critical care utilisation (13.4% vs 8.9%, p=0.0156) compared with non-exposed individuals. The temporal association of PIM exposure with mortality was significant across all age groups (RR=1.68, 95% CI: 1.23~2.24), and a similar trend was observed for critical care utilisation (RR: 1.75, 95% CI: 1.26~2.39). The risk of mortality and critical care utilisation increased with exposure to a higher number of PIMs in terms of active pharmaceutical ingredients and drug categories.

CONCLUSION

Exposure to PIM exacerbates the poor outcomes of older patients with COVID-19 who are already at high risk. Effective interventions are urgently needed to address PIM exposure and improve health outcomes in this vulnerable population.

Risk factors for progressing to critical illness in patients with hospital-acquired COVID-19

BACKGROUND/AIMS

Risk factors for progression to critical illness in hospital-acquired coronavirus disease 2019 (COVID-19) remain unknown. Here, we assessed the incidence and risk factors for progression to critical illness and determined their effects on clinical outcomes in patients with hospital-acquired COVID-19.

METHODS

This retrospective cohort study analyzed patients admitted to the tertiary hospital between January 2020 and June 2022 with confirmed hospital-acquired COVID-19. The primary outcome was the progression to critical illness of hospital- acquired COVID-19. Patients were stratified into high-, intermediate-, or low-risk groups by the number of risk factors for progression to critical illness.

RESULTS

In total, 204 patients were included and 37 (18.1%) progressed to critical illness. In the multivariable logistic analysis, patients with preexisting respiratory disease (OR, 3.90; 95% CI, 1.04-15.18), preexisting cardiovascular disease (OR, 3.49; 95% CI, 1.11-11.27), immunocompromised status (OR, 3.18; 95% CI, 1.11-9.16), higher sequential organ failure assessment (SOFA) score (OR, 1.56; 95% CI, 1.28-1.96), and higher clinical frailty scale (OR, 2.49; 95% CI, 1.62-4.13) showed significantly increased risk of progression to critical illness. As the risk of the groups increased, patients were significantly more likely to progress to critical illness and had higher 28-day mortality.

CONCLUSION

Among patients with hospital-acquired COVID-19, preexisting respiratory disease, preexisting cardiovascular disease, immunocompromised status, and higher clinical frailty scale and SOFA scores at baseline were risk factors for progression to critical illness. Patients with these risk factors must be prioritized and appropriately isolated or treated in a timely manner, especially in pandemic settings.

The Effect of Telehealth on Patterns of Health Care Utilization and Medication Prescription in Patients with Diabetes or Hypertension During COVID-19: A Nationwide Study

Background: In response to the coronavirus disease-19 pandemic, audio-based telehealth services for consultation and medication prescription were temporarily introduced in Korea. This study investigated the impact of telehealth services on patterns of health care utilization and medication prescription in patients with hypertension or diabetes. Methods: The 2019 to 2021 Health Insurance Review and Assessment Service claims data were used. The difference-in-difference approach was used to investigate the effect of telehealth services between the case and control group before and after the intervention period. The pre-intervention period was from February 24, 2019, to February 23, 2020, and the post-intervention period from February 24, 2020, to February 23, 2021. The control group included individuals who used in-person outpatient services and the case group those who utilized both telehealth and in-person services. Results: A total of 250,640 patients with hypertension and 154,212 patients with diabetes were included. The use of telehealth services was associated with an increase in outpatient visits in those with hypertension (0.07, p = 0.0027) and diabetes (0.32, p < 0.0001). A decrease in hospitalizations (-0.2%, p = 0.0007) and emergency department visits (-0.11%, p = 0.0016) was found in individuals with hypertension. Policy implementation also resulted in an increase in medication possession ratio (MPR) and the proportion of appropriate prescription in patients with hypertension (MPR: 3.0%, p < 0.0001, prescription: 3.1%, p < 0.0001) and diabetes (MPR: 3.4%, p < 0.0001, prescription: 1.7%, p < 0.0001). Conclusions: The findings confirm a relationship between implementing telehealth services and improved patterns of health care utilization and medication prescription, suggesting the potential benefit of telehealth in managing chronic diseases.

Comorbidity of patients with noncommunicable diseases in general practice. Eurasian guidelines

Создание руководства поддержано Советом по терапевтическим наукам отделения клинической медицины Российской академии наук.

Risk factors for critical COVID-19 illness during Delta- and Omicron-predominant period in Korea; using K-COV-N cohort in the National health insurance service

BACKGROUND

This study evaluated the clinical characteristics of patients with COVID-19 in Korea, and examined the relationship between severe COVID-19 cases and underlying health conditions during the Delta (September 20, 2021 to December 4, 2021) and the Omicron (February 20, 2022 to March 31, 2022) predominant period.

METHODS

This study assessed the association between critical COVID-19 illness and various risk factors, including a variety of underlying health conditions, using multiple logistic regression models based on the K-COV-N cohort, a nationwide data of confirmed COVID-19 cases linked with COVID-19 vaccination status and the National Health Insurance claim information.

RESULTS

We analyzed 137,532 and 8,294,249 cases of COVID-19 infection during the Delta and the Omicron variant dominant periods, respectively. During the Delta as well as the Omicron period, old age (≥80 years) showed the largest effect size among risk factors for critical COVID-19 illness (aOR = 18.08; 95% confidence interval [CI] = 14.71-22.23 for the Delta; aOR = 24.07; 95% CI = 19.03-30.44 for the Omicron period). We found that patients with solid organ transplant (SOT) recipients, unvaccinated, and interstitial lung disease had more than a two-fold increased risk of critical COVID-19 outcomes between the Delta and Omicron periods. However, risk factors such as urban residence, underweight, and underlying medical conditions, including chronic cardiac diseases, immunodeficiency, and mental disorders, had different effects on the development of critical COVID-19 illness between the Delta and Omicron periods.

CONCLUSION

We found that the severity of COVID-19 infection was much higher for the Delta variant than for the Omicron. Although the Delta and the Omicron variant shared many risk factors for critical illness, several risk factors were found to have different effects on the development of critical COVID-19 illness between those two variants. Close monitoring of a wide range of risk factors for critical illness is warranted as new variants continue to emerge during the pandemic.

Does denosumab exert a protective effect against COVID-19? Results of a large cohort study

Introduction

Denosumab is a monoclonal antibody blocking the receptor activator of nuclear factor kappa-B/receptor activator of nuclear factor kappa-B ligand (RANK/RANKL) pathway, thus inhibiting osteoclastogenesis. Since RANK and RANKL are also involved in the immune system activation, denosumab might interfere with the response against infections. Our study aimed to explore the relationship between denosumab treatment and coronavirus disease 2019 (COVID-19).

Design and methods

The occurrence and severity of COVID-19 were recorded in consecutive patients referred to the Endocrinology Department of Papa Giovanni XXIII Hospital, Bergamo, from 1 January 2020 to 1 January 2021. Patients treated with denosumab were compared to outpatient controls. Patients' features were summarized by descriptive statistics. Multivariate logistic regression assessed the relationship between denosumab and COVID-19, adjusting for potential confounders. Subgroup analyses according to age, sex, body mass index (BMI), smoking status, and vitamin D levels were performed.

Results

The final population included 331 patients treated with denosumab and 357 controls. COVID-19 incidence was lower in the denosumab group (7.6% vs. 14.6%, p = 0.004). COVID-19 severity was similar in both groups. Multiple logistic regression confirmed an association between denosumab and a reduced occurrence of symptomatic COVID-19 [odds ratio (OR) 0.46, 95% CI 0.21-0.98, p = 0.049]. Subgroup analyses suggested a potential protective effect of denosumab in patients over 75 years (OR 0.12, 95% CI 0.02-0.6, p = 0.011), with a significant interaction between denosumab and age categories (p = 0.047).

Conclusion

Our study confirms that denosumab may be safely continued in COVID-19 patients. RANK/RANKL inhibition seems associated with a reduced incidence of symptomatic COVID-19, particularly among the elderly.

Epidemiological Characteristics of COVID-19 during Seven Consecutive Epidemiological Waves (2020-2022) in the North Bačka District, Serbia

The COVID-19 pandemic continues to pose a threat to global public health. The purpose of this research was to determine the epidemiological characteristics of COVID-19 in the North Bačka district while observing seven pandemic waves. The cross-sectional study was based on data from the COVID-19 surveillance database of the Institute for Public Health of Vojvodina during the period from March 2020 to December 2022. A total of 38,685 primary infections and 4067 reinfections caused by SARS-CoV-2 were notified. Pandemic waves caused by the Delta variant (cumulative incidence rate of 2482.37/100,000) and by the Omicron variant (cumulative incidence rate of 2994.45/100,000) emerged as significant focal points during the surveillance period. Over the course of three consecutive years (2020-2022), women were more affected (50.11%, 54.03%, and 55.68%, respectively). The highest incidence rates in age-specific categories were recorded in 2021 for the age group 40-49 (1345.32 per 10,000 inhabitants), while in 2022, they shifted towards the elderly population. Regarding vaccination status at the time of diagnosis, in 2021, around 15% of patients were vaccinated, while in 2022, the number increased to 37%. The most widely received vaccine was BBIBP-CorV (67.45%), followed by BNT162b2 (19.81%), Gam-COVID-Vac (9.31%), and ChAdOx1 nCoV-19 (3.42%) vaccine. The implementation of stringent public health measures and their mitigation, together with the emergence of new variants, influenced the dynamics of COVID-19 pandemic waves in the North Bačka district. Notably, throughout the study period, the working-age population was the most affected, along with females, with a mild clinical presentation dominating. Reinfections were most frequently recorded during the latter pandemic waves. Dealing with this pandemic has provided some valuable lessons for the development of future strategies in the case of a similar public health crisis.

High unrecognized SARS-CoV-2 exposure of newly admitted and hospitalized psychiatric patients

BACKGROUND

Patients with pre-existing mental disorders are at higher risk for SARS-CoV-2 infection and adverse outcomes, and severe mental illness, including mood and psychosis spectrum disorders, is associated with increased mortality risk. Despite their increased risk profile, patients with severe mental illness have been understudied during the pandemic, with limited estimates of exposure in inpatient settings.

OBJECTIVE

The aim of this study was to describe the SARS-CoV-2 seroprevalence and antibody titers, and pro-inflammatory cytokine concentrations of newly admitted or hospitalized psychiatric inpatients without known history of COVID-19 infection, using robust quantitative multi-antigen assessments, and compare patients' exposure to that of hospital staff.

METHODS

This multi-centric, cross-sectional study compared SARS-CoV-2 seroprevalence and titers of 285 patients (University Psychiatric Centre Duffel [UPCD] N = 194; Assistance-Publique-Hopitaux de Paris [AP-HP] N = 91), and 192 hospital caregivers (UPCD N = 130; AP-HP N = 62) at two large psychiatric care facilities between January 1st and the May 30th 2021. Serum levels of SARS-CoV-2 antibodies against Spike proteins (full length), spike subunit 1 (S1), spike subunit 2 (S2), spike subunit 1 receptor binding domain (S1-RBD) and Nucleocapsid proteins were quantitatively determined using an advanced capillary Western Blot technique. To assess the robustness of the between-group seroprevalence differences, we performed sensitivity analyses with stringent cut-offs for seropositivity. We also assessed peripheral concentrations of IL-6, IL-8 and TNF-a using ELLA assays. Secondary analyses included comparisons of SARS-CoV-2 seroprevalence and titers between patient diagnostic subgroups, and between newly admitted (hospitalization ≤ 7 days) and hospitalized patients (hospitalization > 7 days) and correlations between serological and cytokines.

RESULTS

Patients had a significantly higher SARS-CoV-2 seroprevalence (67.85 % [95% CI 62.20-73.02]) than hospital caregivers (27.08% [95% CI 21.29-33.77]), and had significantly higher global SARS-CoV-2 titers (F = 29.40, df = 2, p < 0.0001). Moreover, patients had a 2.51-fold (95% CI 1.95-3.20) higher SARS-CoV-2 exposure risk compared to hospital caregivers (Fisher's exact test, P < 0.0001). No difference was found in SARS-CoV-2 seroprevalence and titers between patient subgroups. Patients could be differentiated most accurately from hospital caregivers by their higher Spike protein titers (OR 136.54 [95% CI 43.08-481.98], P < 0.0001), lower S1 (OR 0.06 [95% CI 0.02-0.15], P < 0.0001) titers and higher IL-6 (OR 3.41 [95% CI 1.73-7.24], P < 0.0001) and TNF-α (OR 34.29 [95% CI 5.00-258.87], P < 0.0001) and lower titers of IL-8 (OR 0.13 [95% CI 0.05-0.30], P < 0.0001). Seropositive patients had significantly higher SARS-COV-2 antibody titers compared to seropositive hospital caregivers (F = 19.53, df = 2, P < 0.0001), while titers were not different in seronegative individuals. Pro-inflammatory cytokine concentrations were not associated with serological status.

CONCLUSION

Our work demonstrated a very high unrecognized exposure to SARS-CoV-2 among newly admitted and hospitalized psychiatric inpatients, which is cause for concern in the context of highly robust evidence of adverse outcomes following COVID-19 in psychiatric patients. Attention should be directed toward monitoring and mitigating exposure to infectious agents within psychiatric hospitals.

Prevalence of COVID-19 and Psychotropic Drug Treatment in Psychiatric In-patients in Germany in 2020: Results from a Nationwide Pilot Survey

INTRODUCTION

In patients with a pre-existing mental disorder, an increased risk for a first manifestation of a psychiatric disorder in COVID-19 patients, a more severe course of COVID-19 and an increased mortality have been described. Conversely, observations of lower COVID-19 incidences in psychiatric in-patients suggested protective effects of psychiatric treatment and/or psychotropic drugs against COVID-19.

METHODS

A retrospective multi-center study was conducted in 24 German psychiatric university hospitals. Between April and December 2020 (the first and partly second wave of COVID-19), the effects of COVID-19 were assessed on psychiatric in-patient care, the incidence and course of a SARS-CoV-2 infection, and treatment with psychotropic drugs.

RESULTS

Patients (n=36,322) were admitted to the hospitals. Mandatory SARS-CoV-2 tests before/during admission were reported by 23 hospitals (95.8%), while 18 (75%) conducted regular testing during the hospital stay. Two hundred thirty-two (0.6%) patients were tested SARS-CoV-2-positive. Thirty-seven (16%) patients were receiving medical treatment for COVID-19 at the psychiatric hospital, ten (4.3%) were transferred to an intermediate/intensive care unit, and three (1.3%) died. The most common prescription for SARS-CoV-2-positive patients was for second-generation antipsychotics (n=79, 28.2%) and antidepressants (SSRIs (n=38, 13.5%), mirtazapine (n=36, 12.9%) and SNRIs (n=29, 10.4%)).

DISCUSSION

Contrary to previous studies, our results showed a low number of infections and mortality in SARS-CoV-2-positive psychiatric patients. Several preventive measures seem effective to protect this vulnerable group. Our observations are compatible with the hypothesis of a protective effect of psychotropic drugs against COVID-19 as the overall mortality and need for specific medical treatment was low.

Assessment of hospitalisation costs and their determinants among Covid-19 patients in South Central Ethiopia

BACKGROUND

The coronavirus disease 2019 (Covid-19) pandemic is a global public health problem. The Covid-19 pandemic has had a substantial impact on the economy of developing countries, including Ethiopia.This study aimed to determine the hospitalisation costs of Covid-19 and the factors associated with the high cost of hospitalisation in South Central Ethiopia.

METHODS

A retrospective cost analysis of Covid-19 patients hospitalised between July 2020 and July 2021 at Bokoji Hospital Covid-19 Treatment Centre was conducted using both the micro-costing and top-down approaches from the health system perspective. This analysis used cost data obtained from administrative reports, the financial reports of the treatment centre, procurement invoices and the Covid-19 standard treatment guidelines. The Student's t-test, Mann-Whitney U test or Kruskal-Wallis test was employed to test the difference between sociodemographic and clinical factors when appropriate.To identify the determinants of cost drivers in the study population, a generalised linear model with gamma distribution and log link with a stepwise algorithm were used.

RESULTS

A total of 692 Covid-19 patients were included in the costing analysis. In this study, the mean cost of Covid-19-infected patients with no symptoms was US$1,073.86, with mild symptoms US$1,100.74, with moderate symptoms US$1,394.74 and in severe-critically ill condition US$1,708.05.The overall mean cost was US$1,382.50(95% CI: 1,360.60-1,404.40) per treated episode.The highest mean cost was observed for personnel, accounting for 64.0% of the overall cost. Older age, pre-existing diseases, advanced disease severity at admission, admission to the intensive care unit, prolonged stay on treatment and intranasal oxygen support were strongly associated with higher costs.

CONCLUSIONS

This study found that the clinical management of Covid-19 patients incurred significant expenses to the health system. Factors such as older age, disease severity, presence of comorbidities, use of inhalation oxygen therapy and prolonged hospital stay were associated with higher hospitalisation costs.Therefore, the government should give priority to the elderly and those with comorbidities in the provision of vaccination to reduce the financial burden on health facilities and health systems in terms of resource utilisation.

A systematic review and meta-analysis on the prevalence and impact of coronary artery disease in hospitalized COVID-19 patients

Background

COVID-19 accounts for more than half a billion deaths globally. The clinical manifestations may vary in due course. Despite several studies aimed at determining the extent to which the disease's severity and mortality remain high when combined with other comorbidities, more research is required. Therefore, this review aimed to measure the pooled prevalence of coronary artery disease (CAD) among COVID-19 patients, specifically those with a history of CAD. Additionally, we aim to assess the association between mortality due to CAD and the severity of COVID-19 among hospitalized patients.

Method

A comprehensive search in PubMed, Web of Science, the Cochrane Library, and the WHO COVID-19 database was conducted. English studies with original data on CAD, mortality, and ARDS among COVID-19 patients were included. PRISMA guidelines were followed.

Results

Among the 2007 identified articles, 76 studies met the inclusion criteria. The pooled prevalence of CAD among COVID-19 patients was 14.4%(95% CI: 12.7-16.2). The highest prevalence was observed in European studies at 18.2%(95% CI: 13.3-24.2), while the lowest was in Asian studies at 10.4% (95% CI: 6.4-16.3). Participants with concurrent CAD at the time of hospital admission had twice the odds of mortality due to COVID-19 (2.64 [95% CI: 2.30-3.04]) with moderate heterogeneity (I2 = 45%, p < 0.01). Hospitalized COVID-19 patients with CAD had a 50% higher risk of ARDS (95% CI: 0.62-3.66), but this difference was not statistically significant.

Conclusion

Although our analysis revealed evidence for a relationship between concurrent CAD at the time of hospital admission and mortality from COVID-19, however, global variation in health infrastructure, limitations of data reporting, and the effects of emerging variants must be considered in future investigations.

One-year follow-up evaluation of radiological and respiratory findings and functional capacity in COVID-19 survivors without comorbidities

The aim of this study was to assess clinical findings, radiological data, pulmonary functions and physical capacity change over time and to investigate factors associated with radiological abnormalities after coronavirus disease 2019 (COVID-19) in non-comorbid patients. This prospective cohort study was conducted between April 2020 and June 2020. A total of 62 symptomatic in non-comorbid patients with COVID-19 pneumonia were included in the study. At baseline and the 2nd, 5th and 12th months, patients were scheduled for follow-up. Males represented 51.6% of the participants and overall mean age was 51.60 ± 12.45 years. The percentage of patients with radiological abnormalities at 2 months was significantly higher than at 5 months (P < .001). At 12 months, dyspnea frequency (P = .008), 6-minute walk test (6MWT) distance (P = .045), BORG-dyspnea (P < .001) and BORG-fatigue (P < .001) scores was significantly lower, while median SpO2 after 6MWT (P < .001) was significantly higher compared to results at 2 months. The presence of radiological abnormalities at 2 months was associated with the following values measured at 5 months: advanced age (P = .006), lung involvement at baseline (P = .046), low forced expiratory volume in 1 second (P = .018) and low forced vital capacity (P = .006). Even in COVID-19 patients without comorbidities, control computed tomography at 2 months and pulmonary rehabilitation may be beneficial, especially in COVID-19 patients with advanced age and greater baseline lung involvement.

Exploring Future Signals of COVID-19 and Response to Information Diffusion Using Social Media Big Data

COVID-19 is a respiratory infectious disease that first reported in Wuhan, China, in December 2019. With COVID-19 spreading to patients worldwide, the WHO declared it a pandemic on 11 March 2020. This study collected 1,746,347 tweets from the Korean-language version of Twitter between February and May 2020 to explore future signals of COVID-19 and present response strategies for information diffusion. To explore future signals, we analyzed the term frequency and document frequency of key factors occurring in the tweets, analyzing the degree of visibility and degree of diffusion. Depression, digestive symptoms, inspection, diagnosis kits, and stay home obesity had high frequencies. The increase in the degree of visibility was higher than the median value, indicating that the signal became stronger with time. The degree of visibility of the mean word frequency was high for disinfectant, healthcare, and mask. However, the increase in the degree of visibility was lower than the median value, indicating that the signal grew weaker with time. Infodemic had a higher degree of diffusion mean word frequency. However, the mean degree of diffusion increase rate was lower than the median value, indicating that the signal grew weaker over time. As the general flow of signal progression is latent signal → weak signal → strong signal → strong signal with lower increase rate, it is necessary to obtain active response strategies for stay home, inspection, obesity, digestive symptoms, online shopping, and asymptomatic.

Anti-S1/RBD-Specific Antibody Formation After SARS-CoV-2 Vaccination in Elderly Rheumatoid Arthritis Patients: Single-Center Prospective Observational Study

BACKGROUND

The guidelines of coronavirus disease 2019 (COVID-19) vaccination in patients with rheumatoid arthritis (RA) have been continuously updated, with extensive discussion on the effectiveness of the COVID-19 booster vaccines and antibody generation associated with the different types of vaccine. We investigated the effects of the third dose of the mRNA vaccine on antibody titer and the factors associated with antibody production in patients with RA who had previously received two doses of the ChAdOx1-S nCoV-19 vaccine.

METHODS

Between October 14, 2021 and June 17, 2022, two patient groups diagnosed with RA were recruited prospectively: one with two doses of ChAdOx1-S nCoV-19 and the second group with the additional third mRNA vaccine. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibody titers were determined through semiquantitative anti-SARS-CoV-2 spike (S) electrochemiluminescence immunoassay. Antibody titers were compared in both groups considering clinical features and medications. Multivariate logistic regression was performed to identify the factors associated with antibody production. Also, we followed up the antibody titers of whom completed the 3rd mRNA vaccination.

RESULTS

Among 261 patients, all patients were over 60 years old except for 7 patients and the average age was 65 years; 153 had completed two doses of ChAdOx1-S nCoV-19, while 108 patients had also received the third mRNA vaccine. The positive rates of anti-SARS-CoV-2 anti-S1/receptor binding domain-specific antibody (titer > 0.8 U/mL) were 97% (149/153) and 99% (107/108) respectively. However, positive rates for high antibody titer (> 250 U/mL) were found in only 31% (47/153) of group 1 but 94% (102/108) of group 2. Multivariate analysis revealed that corticosteroid use (odds ratio [OR], 0.35; 95% confidence interval [CI], 0.16-0.75), older age (OR, 0.91; 95% CI, 0.860-0.98), and male sex (OR, 0.23; 95% CI, 0.07-0.74) were associated with a lower rate of high antibody titer acquisition after two doses of ChAdOx1-S nCoV-19. Waning of antibody titers was observed in only two of 46 patients who followed up twice after the third mRNA vaccine inoculation.

CONCLUSION

Our findings suggest that the third dose of the mRNA vaccine could be beneficial in RA patients with risk factors including older age, male sex, and corticosteroid use after two doses of ChAdOx1-S nCoV-19.

Long-term interplay between COVID-19 and chronic kidney disease

PURPOSE

The COVID-19 pandemic may have an impact on the long-term kidney function of survivors. The clinical relevance is not clear.

METHODS

This review summarises the currently published data.

RESULTS

There is a bidirectional relationship between chronic kidney disease and COVID-19 disease. Chronic kidney diseases due to primary kidney disease or chronic conditions affecting kidneys increase the susceptibility to COVID-19 infection, the risks for progression and critical COVID-19 disease (with acute or acute-on-chronic kidney damage), and death. Patients who have survived COVID-19 face an increased risk of worse kidney outcomes in the post-acute phase of the disease. Of clinical significance, COVID-19 may predispose surviving patients to chronic kidney disease, independently of clinically apparent acute kidney injury (AKI). The increased risk of post-acute renal dysfunction of COVID-19 patients can be graded according to the severity of the acute infection (non-hospitalised, hospitalised or ICU patients). The burden of chronic kidney disease developing after COVID-19 is currently unknown.

CONCLUSION

Post-acute COVID-19 care should include close attention to kidney function. Future prospective large-scale studies are needed with long and complete follow-up periods, assessing kidney function using novel markers of kidney function/damage, urinalysis and biopsy studies.

Crosstalk between COVID-19 Infection and Kidney Diseases: A Review on the Metabolomic Approaches

The novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes COVID-19, a respiratory disorder. Various organ injuries have been reported in response to this virus, including kidney injury and, in particular, kidney tubular injury. It has been discovered that infection with the virus does not only cause new kidney disease but also increases treatment difficulty and mortality rates in people with kidney diseases. In individuals hospitalized with COVID-19, urinary metabolites from several metabolic pathways are used to distinguish between patients with acute kidney injury (AKI) and those without. This review summarizes the pathogenesis, pathophysiology, treatment strategies, and role of metabolomics in relation to AKI in COVID-19 patients. Metabolomics is likely to play a greater role in predicting outcomes for patients with kidney disease and COVID-19 with varying levels of severity in the near future as data on metabolic profiles expand rapidly. Here, we also discuss the correlation between COVID-19 and kidney diseases and the available metabolomics approaches.

Inventory study of an early pandemic COVID-19 cohort in South-Eastern Sweden, focusing on neurological manifestations

BACKGROUND

Neurological manifestations in patients with COVID-19 have been reported previously as outcomes of the infection. The purpose of current study was to investigate the occurrence of neurological signs and symptoms in COVID-19 patients, in the county of Östergötland in southeastern Sweden.

METHODS

This is a retrospective, observational cohort study. Data were collected between March 2020 and June 2020. Information was extracted from medical records by a trained research assistant and physician and all data were validated by a senior neurologist.

RESULTS

Seventy-four percent of patients developed at least one neurological symptom during the acute phase of the infection. Headache (43%) was the most common neurological symptom, followed by anosmia and/or ageusia (33%), confusion (28%), hallucinations (17%), dizziness (16%), sleep disorders in terms of insomnia and OSAS (Obstructive Sleep Apnea) (9%), myopathy and neuropathy (8%) and numbness and tingling (5%). Patients treated in the ICU had a higher male presentation (73%). Several risk factors in terms of co-morbidities, were identified. Hypertension (54.5%), depression and anxiety (51%), sleep disorders in terms of insomnia and OSAS (30%), cardiovascular morbidity (28%), autoimmune diseases (25%), chronic lung diseases (24%) and diabetes mellitus type 2 (23%) founded as possible risk factors.

CONCLUSION

Neurological symptoms were found in the vast majority (74%) of the patients. Accordingly, attention to neurological, mental and sleep disturbances is warranted with involvement of neurological expertise, in order to avoid further complications and long-term neurological effect of COVID-19. Furthermore, risk factors for more severe COVID-19, in terms of possible co-morbidities that identified in this study should get appropriate attention to optimizing treatment strategies in COVID-19 patients.

Changes in Clinical Management of Patients with Schizophrenia Treated with Long-Acting Injectable Antipsychotics (LAIs), Including Telepsychiatry Use, During the COVID-19 Pandemic

Purpose

The COVID-19 pandemic substantially impacted care of patients with schizophrenia treated with long-acting injectable antipsychotics (LAIs). This study (OASIS-MAPS) examined how clinical sites adapted operations and used telepsychiatry to maintain standard of care for these patients during the pandemic.

Methods

Two online surveys (initial: October-November 2020, N = 35; follow-up: July-September 2021, N = 21) were completed by a principal investigator (PI) or PI-appointed designee at sites participating in the OASIS study (NCT03919994). Survey responses were analyzed descriptively.

Results

At the time of the initial survey, all 35 participating sites were using variants of telepsychiatry, with 20 sites adopting it after the pandemic started. Most sites reported no negative impacts of the pandemic on medication adherence, although approximately 20% of sites reported decreased adherence for LAIs. Twelve sites (34%) reported switching patients with schizophrenia from LAIs to oral antipsychotic medications, while 11 sites (31%) reported switching patients from shorter to longer injection interval LAIs during the pandemic. Most sites did not experience difficulties in implementing or expanding telepsychiatry services, although lower reimbursement rate for telepsychiatry and patients' lack of access to and training on relevant technologies were the most frequently reported barriers.

Conclusion

Changes made by sites after the pandemic onset were viewed by almost all participants as satisfactory for maintaining standard of care. Almost all participants thought that the use of telepsychiatry services would continue after the pandemic in a hybrid manner combining telepsychiatry and office visits. Ensuring that patients have equitable access to telepsychiatry will be important in the post-pandemic future.

COVID-19 Outbreak in Daegu City, Korea and Response to COVID-19: How Have We Dealt and What Are the Lessons?

The first coronavirus disease 2019 (COVID-19) outbreak in Daegu city was overcome by efforts, including; 1) prompt isolation and quarantine action by local government with cooperative help from expert groups and the central government, 2) high-intensity social distancing and active cooperation of citizens, 3) admission of asymptomatic and mild patients in 'residential treatment centers', and 4) use of a telephone scoring system for the allocation of patients, with a mortality rate of 2.5%. A continuous suppression policy with test, tracing, and treatment (3 Ts) was implemented as an active response to the initial outbreaks in Korea. With the introduction of vaccines and therapeutic agents, the COVID-19 crisis had improved. Recently, the omicron variant was responsible for most domestic outbreaks, albeit with a low mortality rate (0.1%). Since the omicron outbreak, a damage mitigation policy has been implemented, focusing on protecting vulnerable groups. In the future, preparation including below are needed; 1) improving the national public health emergency response system, 2) strengthening the crisis response capacity of local governments, 3) cooperation between public healthcare and private healthcare, and 4) establishing a resilient medical response system.

Significance of hematologic abnormalities in COVID-19 severity among infected patients in Lagos, Nigeria

BACKGROUND

There have been suggestions that hematologic abnormalities in COVID-19 are linked with the progression and severity of diseases and mortality. Lymphopenia, sepsis, and thrombocytopenia were highly reported in patients with COVID-19. This study investigated the significance of hematologic abnormalities in patients with COVID-19 in Lagos, Nigeria, and its potential as a diagnostic tool for COVID-19 severity.

RESULTS

This was a retrospective observational study with a total of 340 patients with COVID-19 (236 patients included in the analysis). These patients were categorized into two groups, comprising 71 patients with severe COVID-19 (SCP) and 165 patients with non-severe COVID-19 (NSCP). The majority were males in both categories (SCP 74.6% and NSCP 63.6%). The mean ± SD ages for SCP and NSCP were 52.28 ± 16.87 and 42.44 ± 17.18 years, respectively. The SCP (52.1%) and NSCP (20.0%) had underlying health conditions. The SCP exhibited significantly higher neutrophil counts (P < 0.05) and significantly lower mean hemoglobin, red blood cell (RBC), packed cell volume (PCV), and lymphocyte values (P < 0.05). Anemia and lymphocytopenia were more prominent in the SCP group than in the NSCP group (P < 0.05). Hemoglobin, RBC, PCV, and lymphocytes were inversely correlated with age-group in the SCP, while only lymphocytes and platelets were inversely correlated with age-group in the NSCP. The highest area under the ROC curve (AUC) for neutrophils was 0.739 with a sensitivity of 62.0% and specificity of 80.0%, while white blood cells had an AUC of 0.722 with a sensitivity of 73.2% and specificity of 61.2%. The AUC for neutrophil-lymphocyte ratio (NLR) was 0.766 with a sensitivity of 63.3% and specificity of 83.5%, while that for the platelet-lymphocyte ratio (PLR) was 0.695 with a sensitivity and specificity of 61.7% and 77.8%.

CONCLUSIONS

COVID-19 affected the levels of hemoglobin, RBC, PCV, and lymphocytes in the blood, and the differences were significant between the SCP and NSCP. The significant changes in neutrophil and lymphocyte counts may be useful in the prognosis and management of COVID-19 severity in hospital settings. Furthermore, NLR and PLR may be used in the prognosis and management of severe COVID-19 infection, as well as provide an objective basis for early identification and management in low-resource settings.

Interplay of diabetes mellitus and rheumatic diseases amidst the COVID-19 pandemic: influence on the risk of infection, outcomes, and immune responses

Outcomes of COrona VIrus Disease-19 (COVID-19) in patients with rheumatic diseases (RDs) reported in various studies are heterogenous owing to the influence of age and comorbidities which have a significant bearing on the infection risk, severity, morbidity, and mortality. Diabetes mellitus (DM) and RDs are closely linked with underlying pathobiology and treatment of RDs affecting the risk for DM as well as the glycemic control. Hence, we undertook this narrative review to study the influence of DM on outcomes of COVID-19 in patients with RDs. Additionally, aspects of patient attitudes and immune response to COVID-19 vaccination were also studied. The databases of MEDLINE/PubMed, Scopus, and Directory of Open Access Journals (DOAJ) were searched for relevant articles. Studies from mixed cohorts revealed insufficient data to comment on the influence of DM on the risk of infection, while most studies showed twice the odds for hospitalization and mortality with DM. Specific cohorts of rheumatoid arthritis and systemic lupus erythematosus revealed a similar association. Poor health was noted in patients with spondyloarthritis and DM during the pandemic. The presence of DM did not affect patient attitudes towards vaccination and did not predispose to additional vaccine-related adverse effects. Immune response to inactivated vaccines was reduced but mRNA vaccines were maintained in patients with DM. Detailed assessment of DM with its duration, end-organ damage, and glycemic control along with a focused association of DM with various aspects of COVID-19 like risk, hospitalization, severity, mortality, post-COVID sequelae, immune response to infection, and vaccination are needed in the future. Key Points • Diabetes mellitus is associated with the severity of infection, COVID-19-related hospitalization, and mortality in rheumatic diseases across most studies but studies analyzing its specific role are lacking. • Poor outcomes of COVID-19 in RA and poor health in spondyloarthritis are strongly associated with diabetes mellitus. • Diabetes mellitus may negatively influence the humoral response to inactivated vaccines but does not seem to affect the immune responses to mRNA vaccines. • Diabetes mellitus does not influence the attitude towards vaccination or deviation from the prescribed medications during the pandemic.

COVID-19 Vaccination Rates in Patients With Chronic Medical Conditions: A Nationwide Cross-Sectional Study

As most individuals acquire immunity to severe acute respiratory syndrome coronavirus 2, South Korea declared a return to normalcy a few months ago. However, epidemic waves continue because of endlessly emerging variants and waning immunity. Health authorities are focusing on those at high risk of severe coronavirus disease 2019 to minimize damage to public health and the economy. In this regard, we investigated the vaccination rates in patients with various chronic medical conditions by examining the national health insurance claims data and the national immunization registry. We found that patients with chronic medical conditions, especially those of higher severity, such as malignancy, had vaccination rates approximately 10-20% lower than those of the general population. Public health authorities and healthcare providers should try to vaccinate these patients to avoid preventable morbidity and mortality.

Comorbidities associated with risk of ICU admission in elderly patients with COVID-19: Data from academic hospital in Saudi Arabia

The coronavirus disease 2019 (COVID-19) has affected millions of people worldwide, of which 5% required intensive care, especially mechanical ventilation. The prognosis depends on several factors including comorbidities. This study was conducted to identify the comorbidities associated with the intensive care unit (ICU) admission in elderly with COVID-19 admitted to a tertiary academic hospital. A retrospective cross-sectional study was conducted at KSUMC including all hospitalized patients (age ≥ 65 years) with laboratory-confirmed severe acute respiratory syndrome coronavirus 2 infection admitted between March 2020 and August 2021. Data collection included sociodemographic characteristics, underlying comorbidities, and the Charlson comorbidity index. Comorbidities were compared between the elderly patients with COVID-19 admitted to the ICU and those not admitted to the ICU. The odds ratios were calculated and a P value of < .05 and 95% confidence intervals were used to report the statistical significance A total of 444 patients (ICU = 147, non-ICU = 297) were included in the study. The study revealed that elderly patients with COVID-19 admitted to ICU had a higher rate of mortality (n = 64, 67.4%; P < .0001) and a higher proportion of them had shortness of breath (n = 97, 38.3%; P = .007) compared to the elderly patients not admitted to ICU. The mean length of stay (P < .0001), and weight (P = .02) among ICU patients were higher than the values for the non-ICU group, while the mean oxygen saturation (SpO2; P = .006) was lower among the ICU group. The comorbidities that demonstrated a statistically significant association with ICU admission were heart failure (P = .004, odd ratio (OR) = 2.02, 95% confidence intervals (CI) [1.263, 3540]), chronic obstructive pulmonary disease (COPD; P = .027, OR = 3.361, 95% CI [1.080, 10.464]), and chronic kidney disease (P = .021, OR = 1.807, 95% CI [1.087, 3.006]). The current study identified that the comorbidities such as COPD, heart failure, and factors like SpO2 and length of stay are associated with an increased risk of ICU admission in elderly patients with COVID-19. These findings highlight the clinical implications of comorbidity among geriatric population.

The risk of contracting SARS-CoV-2 or developing COVID-19 for people with cancer: A systematic review of the early evidence

BACKGROUND

The early COVID-19 literature suggested that people with cancer may be more likely to be infected with SARS-CoV-2 or develop COVID-19 than people without cancer, due to increased health services contact and/or immunocompromise. While some studies were criticised due to small patient numbers and methodological limitations, they created or reinforced concerns of clinicians and people with cancer. These risks are also important in COVID-19 vaccine prioritisation decisions. We performed a systematic review to critically assess and summarise the early literature.

METHODS AND FINDINGS

We conducted a systematic search of Medline/Embase/BioRxiv/MedRxiv/SSRN databases including peer-reviewed journal articles, letters/commentaries, and non-peer-reviewed pre-print articles for 1 January-1 July 2020. The primary endpoints were diagnosis of COVID-19 and positive SARS-CoV-2 test. We assessed risk of bias using a tool adapted from the Newcastle-Ottawa Scale. Twelve studies were included in the quantitative synthesis. All four studies of COVID-19 incidence (including 24,181,727 individuals, 125,649 with pre-existing cancer) reported that people with cancer had higher COVID-19 incidence rates. Eight studies reported SARS-CoV-2 test positivity for > 472,000 individuals, 48,370 with pre-existing cancer. Seven of these studies comparing people with any and without cancer, were pooled using random effects [pooled odds ratio 0.91, 95 %CI: 0.57-1.47; unadjusted for age, sex, or comorbidities]. Two studies suggested people with active or haematological cancer had lower risk of a positive test. All 12 studies had high risk of bias; none included universal or random COVID-19/SARS-CoV-2 testing.

CONCLUSIONS

The early literature on susceptibility to SARS-CoV-2/COVID-19 for people with cancer is characterised by pervasive biases and limited data. To provide high-quality evidence to inform decision-making, studies of risk of SARS-CoV-2/COVID-19 for people with cancer should control for other potential modifiers of infection risk, including age, sex, comorbidities, exposure to the virus, protective measures taken, and vaccination, in addition to stratifying analyses by cancer type, stage at diagnosis, and treatment received.

Feasibility of a Novel COVID-19 Telehealth Care Management Program Among Individuals Receiving Treatment for Opioid Use Disorder: Analysis of a Pilot Program

Background

The emergence of COVID-19 exacerbated the existing epidemic of opioid use disorder (OUD) across the United States due to the disruption of in-person treatment and support services. Increased use of technology including telehealth and the development of new partnerships may facilitate coordinated treatment interventions that comprehensively address the health and well-being of individuals with OUD.

Objective

The analysis of this pilot program aimed to determine the feasibility of delivering a COVID-19 telehealth care management program using SMS text messages for patients receiving OUD treatment.

Methods

Eligible individuals were identified from a statewide opioid treatment program (OTP) network. Those who screened positive for COVID-19 symptoms were invited to connect to care management through a secure SMS text message that was compliant with Health Insurance Portability and Accountability Act standards. Care management monitoring for COVID-19 was provided for a period of up to 14 days. Monitoring services consisted of daily SMS text messages from the care manager inquiring about the participant’s physical health in relation to COVID-19 symptoms by confirming their temperature, if the participant was feeling worse since the prior day, and if the participant was experiencing symptoms such as coughing or shortness of breath. If COVID-19 symptoms worsened during this observation period, the care manager was instructed to refer participants to the hospital for acute care services. The feasibility of the telehealth care management intervention was assessed by the rates of adoption in terms of program enrollment, engagement as measured by the number of SMS text message responses per participant, and retention in terms of the number of days participants remained in the program.

Results

Between January and April 2021, OTP staff members referred 21 patients with COVID-19 symptoms, and 18 (82%) agreed to be contacted by a care manager. Participants ranged in age from 27 to 65 years and primarily identified as female (n=12, 67%) and White (n=15, 83%). The majority of participants were Medicaid recipients (n=14, 78%). There were no statistically significant differences in the demographic characteristics between those enrolled and not enrolled in the program. A total of 12 (67%) patients were enrolled in the program, with 2 (11%) opting out of SMS text message communication and choosing instead to speak with a care manager verbally by telephone. The remaining 10 participants answered a median of 7 (IQR 4-10) SMS text messages and were enrolled in the program for a median of 9 (IQR 7.5-12) days. No participants were referred for acute care services or hospitalized during program enrollment.

Conclusions

These results demonstrate the feasibility of a novel telehealth intervention to monitor COVID-19 symptoms among OTP patients in treatment for OUD. Further research is needed to determine the applicability of this intervention to monitor patients with comorbid chronic conditions in addition to the acceptability among patients and providers using the SMS text messaging modality.

Factors Modulating COVID-19: A Mechanistic Understanding Based on the Adverse Outcome Pathway Framework

Addressing factors modulating COVID-19 is crucial since abundant clinical evidence shows that outcomes are markedly heterogeneous between patients. This requires identifying the factors and understanding how they mechanistically influence COVID-19. Here, we describe how eleven selected factors (age, sex, genetic factors, lipid disorders, heart failure, gut dysbiosis, diet, vitamin D deficiency, air pollution and exposure to chemicals) influence COVID-19 by applying the Adverse Outcome Pathway (AOP), which is well-established in regulatory toxicology. This framework aims to model the sequence of events leading to an adverse health outcome. Several linear AOPs depicting pathways from the binding of the virus to ACE2 up to clinical outcomes observed in COVID-19 have been developed and integrated into a network offering a unique overview of the mechanisms underlying the disease. As SARS-CoV-2 infectibility and ACE2 activity are the major starting points and inflammatory response is central in the development of COVID-19, we evaluated how those eleven intrinsic and extrinsic factors modulate those processes impacting clinical outcomes. Applying this AOP-aligned approach enables the identification of current knowledge gaps orientating for further research and allows to propose biomarkers to identify of high-risk patients. This approach also facilitates expertise synergy from different disciplines to address public health issues.

How Expensive Are Hospitalizations by COVID-19? Evidence From Colombia

Objectives

This study aimed to estimate the direct medical costs due to hospitalizations by COVID-19 in Colombia and to identify their cost drivers in Colombia.

Methods

This is a retrospective cost-of-illness study of COVID-19 in Colombia. We estimated direct medical costs using data from patients insured to a Benefit Plan Administrator Company, between March 15, 2020 and May 29, 2020. Absolute and relative frequencies, averages, medians, and interquartile ranges (IQRs) were used to characterize the population and estimate the costs of hospitalized patients with COVID-19. We stratified the cost analysis by sex, age groups, comorbidities, and type of hospitalization (general ward and intensive care unit [ICU]). Cost drivers were calculated from a generalized linear model.

Results

We studied 113 confirmed patients, 51.3% men. On average, the hospital length of stay was 7.3 (± 6.2) days. A person hospitalized with COVID-19 reported median costs of $1688 (IQR 788-2523). In women, this cost was $1328 (IQR 463-2098); in men, this was 1.4 times greater. The median cost for ICU was $4118 (IQR 2069-5455), 3 times higher than those hospitalized only in the general ward. Admission to the ICU, having 1 comorbidity, length of stay, high blood pressure, having 5 comorbidities, and being treated in the city of Cartagena were statistically significant with direct medical costs.

Conclusions

Our study provides an idea of the magnitude of costs needed to hospitalize a COVID-19 case in Colombia. Other studies in Colombia have assessed the costs of hospitalization for infectious diseases such as influenza, costs significantly lower than those described here.

Prognostic factors of worse outcome for hospitalized COVID-19 patients, with emphasis on chest computed tomography data: a retrospective study

OBJECTIVE

To evaluate anthropometric and clinical data, muscle mass, subcutaneous fat, spine bone mineral density, extent of acute pulmonary disease related to COVID-19, quantification of pulmonary emphysema, coronary calcium, and hepatic steatosis using chest computed tomography of hospitalized patients with confirmed diagnosis of COVID-19 pneumonia and verify its association with disease severity.

METHODS

A total of 123 adults hospitalized due to COVID-19 pneumonia were enrolled in the present study, which evaluated the anthropometric, clinical and chest computed tomography data (pectoral and paravertebral muscle area and density, subcutaneous fat, thoracic vertebral bodies density, degree of pulmonary involvement by disease, coronary calcium quantification, liver attenuation measurement) and their association with poorer prognosis characterized through a combined outcome of intubation and mechanical ventilation, need of intensive care unit, and death.

RESULTS

Age (p=0.013), body mass index (p=0.009), lymphopenia (p=0.034), and degree of pulmonary involvement of COVID-19 pneumonia (p<0.001) were associated with poor prognosis. Extent of pulmonary involvement by COVID-19 pneumonia had an odds ratio of 1,329 for a poor prognosis and a cutoff value of 6.5 for increased risk, with a sensitivity of 64.9% and specificity of 67.1%.

CONCLUSION

The present study found an association of high body mass index, older age, extent of pulmonary involvement by COVID-19, and lymphopenia with severity of COVID-19 pneumonia in hospitalized patients.

Use of combined treatment of 3rd-generation cephalosporin, azithromycin and antiviral agents on moderate SARs-CoV-2 patients in South Korea: A retrospective cohort study

OBJECTIVES

To assess efficacy and safety of the combined treatment of antibiotics (3rd-generation cephalosporin and azithromycin) and antiviral agents (lopinavir/ritonavir or hydroxychloroquine) on moderate COVID-19 patients in South Korea.

METHODS

A retrospective cohort study of the 358 laboratory-confirmed SARS-CoV-2 (COVID-19) patients was conducted. 299 patients met inclusion criteria for analysis. Propensity score matching (PSM) and Cox regression method were used to control and adjust for confounding factors. Mild to moderate COVID-19 patients were managed with either CA/LoP (cephalosporin, azithromycin, and lopinavir/ritonavir) (n = 57), CA/HQ (cephalosporin, azithromycin, and hydroxychloroquine) (n = 25) or standard supportive care (n = 217). We analyzed the association between treatment group and standard supportive group in terms of three endpoints: time to symptom resolution, time to viral clearance, and hospital stay duration. Using propensity-score matching analysis, three rounds of propensity-matching analysis were performed to balance baseline characteristics among three cohorts.

RESULTS

Kaplan-Meier curves fitted using propensity score-matched data revealed no significant differences on time to symptom resolution, time to viral clearance, hospital stay duration among the three treatment arms (CA/LoP vs Standard, log-rank p-value = 0.2, 0.58, and 0.74 respectively for the three endpoints) (CA/HQ vs Standard, log-rank p-value = 0.46, 0.99, and 0.75 respectively). Similarly, Cox regression analysis on matched cohorts of CA/LoP and standard supportive group showed that hazard ratios of time to symptom resolution (HR: 1.447 [95%-CI: 0.813-2.577]), time to viral clearance(HR: 0.861, [95%-CI: 0.485-1.527]), and hospital stay duration (HR: 0.902, [95%-CI: 0.510-1.595]) were not significant. For CA/HQ and standard supportive group, hazard ratios of the three endpoints all showed no statistical significance (HR: 1.331 [95%-CI:0.631-2.809], 1.005 [95%-CI:0.480-2.105], and 0.887, [95%-CI:0.422-1.862] respectively). No severe adverse event or death was observed in all groups.

CONCLUSIONS

Combined treatment of 3rd cephalosporin, azithromycin and either low-dose lopinavir/ritonavir or hydroxychloroquine was not associated with better clinical outcomes in terms of time to symptom resolution, time to viral clearance, and hospital stay duration compared to standard supportive treatment alone. Microbiological evidence should be closely monitored when treating SARS-CoV-2 patients with antibiotics to prevent indiscreet administration of empirical antimicrobial treatments.

Asthma and risk of infection, hospitalization, ICU admission and mortality from COVID-19: Systematic review and meta-analysis

OBJECTIVE

As COVID-19 spreads across the world, there are concerns that people with asthma are at a higher risk of acquiring the disease, or of poorer outcomes. This systematic review aimed to summarize evidence on the risk of infection, severe illness and death from COVID-19 in people with asthma.

DATA SOURCES AND STUDY SELECTION

A comprehensive search of electronic databases including preprint repositories and WHO COVID-19 database was conducted (until 26 May 2020). Studies reporting COVID-19 in people with asthma were included. For binary outcomes, we performed Sidik-Jonkman random effects meta-analysis. We explored quantitative heterogeneity by subgroup analyses, meta regression and evaluating the I2 statistic.

RESULTS

Fifty-seven studies with an overall sample size of 587 280 were included. The prevalence of asthma among those infected with COVID-19 was 7.46% (95% CI = 6.25-8.67). Non-severe asthma was more common than severe asthma (9.61% vs. 4.13%). Pooled analysis showed a 14% risk ratio reduction in acquiring COVID-19 (95% CI = 0.80-0.94; p < 0.0001) and 13% reduction in hospitalization with COVID-19 (95% CI = 0.77-0.99, p = 0.03) for people with asthma compared with those without. There was no significant difference in the combined risk of requiring admission to ICU and/or receiving mechanical ventilation for people with asthma (RR = 0.87 95% CI = 0.94-1.37; p = 0.19) and risk of death from COVID-19 (RR = 0.87; 95% CI = 0.68-1.10; p = 0.25).

CONCLUSION

The findings from this study suggest that the prevalence of people with asthma among COVID-19 patients is similar to the global prevalence of asthma. The overall findings suggest that people with asthma have a lower risk than those without asthma for acquiring COVID-19 and have similar clinical outcomes.

Demographic and Clinical Factors Related to Severe COVID-19 Infection and Mortality in Patients With Schizophrenia

We aimed to explore the prevalence and determinants of severe COVID-19 disease and mortality in patients with schizophrenia in this study. We conducted a retrospective observational study of 1620 patients with schizophrenia. Of the 1620 patients, 52 (3.2%) tested positive for SARS-CoV-19. Among SARS-CoV-2-positive patients, 40 patients were hospitalized, and 17 patients required intensive care unit admission due to COVID-19 (76.9% and 32.7%, respectively). Severe COVID-19 disease was noted in 17 patients (32.7%) requiring intubation. In the logistic regression analysis, antipsychotic dose, and comorbidity score were independently associated with a greater risk of severe COVID-19 disease in patients with schizophrenia. Our study suggests that factors such as age, sex, comorbidities, and a daily antipsychotic dose may have effects on the poor outcome of SARS-CoV-2 disease in schizophrenia patients. In addition, the current findings propose that mortality may be associated with an older age, comorbidity score, and a longer duration of psychiatric disease among the SARS-CoV-2-positive patients with schizophrenia. However, the findings of our study should be verified in prospective and larger sample studies.

SARS-CoV-2 seroprevalence among patients with severe mental illness: A cross-sectional study

Patients with severe mental illness (SMI) i.e. schizophrenia, schizoaffective disorder, and bipolar disorder are at increased risk of severe outcomes if infected with coronavirus disease 2019 (COVID-19). Whether patients with SMI are at increased risk of COVID-19 is, however, sparsely investigated. This important issue must be addressed as the current pandemic could have the potential to increase the existing gap in lifetime mortality between this group of patients and the background population. The objective of this study was to determine whether a diagnosis of schizophrenia, schizoaffective disorder, or bipolar disorder is associated with an increased risk of COVID-19. A cross-sectional study was performed between January 18th and February 25th, 2021. Of 7071 eligible patients with schizophrenia, schizoaffective disorder, or bipolar disorder, 1355 patients from seven psychiatric centres in the Capital Region of Denmark were screened for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibodies. A total of 1258 unvaccinated patients were included in the analysis. The mean age was 40.5 years (SD 14.6), 54.3% were female. Fifty-nine of the 1258 participants had a positive SARS-CoV-2 antibody test, corresponding to a adjusted seroprevalence of 4.96% (95% CI 3.87-6.35). No significant difference in SARS-CoV-2-risk was found between female and male participants (RR = 1.32; 95% CI 0.79-2.20; p = .290). No significant differences in seroprevalences between schizophrenia and bipolar disease were found (RR = 1.12; 95% CI 0.67-1.87; p = .667). Seroprevalence among 6088 unvaccinated blood donors from the same region and period was 12.24% (95% CI 11.41-13.11). SARS-CoV-2 seroprevalence among included patients with SMI was significantly lower than among blood donors (RR = 0.41; 95% CI 0.31-0.52; p < .001). Differences in seroprevalences remained significant when adjusting for gender and age, except for those aged 60 years or above. The study is registered at ClinicalTrails.gov (NCT04775407). https://clinicaltrials.gov/ct2/show/NCT04775407?term=NCT04775407&draw=2&rank=1.

Analysis of the Efficacy of Universal Screening of Coronavirus Disease with Antigen-Detecting Rapid Diagnostic Tests at Point-or-Care Settings and Sharing the Experience of Admission Protocol—A Pilot Study

Aims: To introduce the admission protocol of a COVID-19 specialized hospital outlined by the government, including the assessment of reverse transcription polymerase chain reaction (RT-PCR), low dose chest computed tomography (CT) and antigen-detecting rapid diagnostic test (Ag-RDT) for patient screening. Materials and Methods: This was a retrospective cohort study of 646 patients who were admitted between December 2020, and February 2021, during the third wave of COVID-19 in Korea. Ag-RDT and RT-PCR were routinely performed on all patients who required admission, and low-dose chest CT was performed on high-risk patients with associated symptoms. Any patients with high-risk COVID-19 infection according to the Ag-RDT test were quarantined alone in a negative pressured room, and those with low-risk COVID-19 infection remained in the preemptive quarantine room with or without negative pressure. The diagnostic values of the Ag-RDT test and associated cycle threshold (Ct) values of the RT-PCR test were subsequently evaluated. Results: In terms of the diagnostic value, the Ag-RDT for COVID-19 had a sensitivity of 68.3%, specificity of 99.5%, positive predictive value (PPV) of 90.3%, and negative predictive value (NPV) of 97.9%. For the 355 symptomatic patients with low-dose chest CT, the diagnostic values of combined evaluations had a sensitivity of 90.2%, specificity of 99.0%, PPV of 86.1%, and NPV of 99.3%. The cut-off Ct value for positive Ag-RDT was ≤25.67 for the N gene (sensitivity: 89.3%, specificity: 100%), which was regarded as a high viable virus in cell culture. There were no patients or medical staff who had COVID-19 in the hospital. Conclusion: Appropriate patient care was possible by definitive triage of the area, according to the symptoms and using diagnostic tests. Screening protocols, including the Ag-RDT test and low-dose chest CT, could be helpful in emergency point-of-care settings.

Relationship Between Blood Lipid Levels and Mortality in Hospitalized COVID-19 Patients

People with comorbid conditions are at increased risk of developing severe/fatal coronavirus disease 2019 (COVID-19). We aimed to investigate the relationship between lipid levels and mortality in patients hospitalized for COVID-19 infection. In this retrospective study, we collected the details of 5274 COVID-19 patients who were diagnosed using the polymerase chain reaction and/or computed tomography and were hospitalized between March and November 2020. Patients (n = 4118) whose blood lipid levels were checked within the first 24 h after hospitalization were included in the study. Multivariable cox proportional hazards regression was used to assess the relationship between lipid variables such as low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C) and triglycerides (TG) and death. There was a statistically significant association between LDL-C, HDL-C, and TG levels and the risk of death (P =.002, <.001, and .035, respectively). Low and high LDL-C, low HDL-C, and high TG levels were negatively associated with COVID-19-related mortality. Blood lipid levels may be useful predictors of mortality in COVID-19 patients.

Immune Response Is Key to Genetic Mechanisms of SARS-CoV-2 Infection With Psychiatric Disorders Based on Differential Gene Expression Pattern Analysis

Existing evidence demonstrates that coronavirus disease 2019 (COVID-19) leads to psychiatric illness, despite its main clinical manifestations affecting the respiratory system. People with mental disorders are more susceptible to COVID-19 than individuals without coexisting mental health disorders, with significantly higher rates of severe illness and mortality in this population. The incidence of new psychiatric diagnoses after infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is also remarkably high. SARS-CoV-2 has been reported to use angiotensin-converting enzyme-2 (ACE2) as a receptor for infecting susceptible cells and is expressed in various tissues, including brain tissue. Thus, there is an urgent need to investigate the mechanism linking psychiatric disorders to COVID-19. Using a data set of peripheral blood cells from patients with COVID-19, we compared this to data sets of whole blood collected from patients with psychiatric disorders and used bioinformatics and systems biology approaches to identify genetic links. We found a large number of overlapping immune-related genes between patients infected with SARS-CoV-2 and differentially expressed genes of bipolar disorder (BD), schizophrenia (SZ), and late-onset major depressive disorder (LOD). Many pathways closely related to inflammatory responses, such as MAPK, PPAR, and TGF-β signaling pathways, were observed by enrichment analysis of common differentially expressed genes (DEGs). We also performed a comprehensive analysis of protein-protein interaction network and gene regulation networks. Chemical-protein interaction networks and drug prediction were used to screen potential pharmacologic therapies. We hope that by elucidating the relationship between the pathogenetic processes and genetic mechanisms of infection with SARS-CoV-2 with psychiatric disorders, it will lead to innovative strategies for future research and treatment of psychiatric disorders linked to COVID-19.

Long-term outcomes after NeuroCOVID: A 6-month follow-up study on 60 patients

BACKGROUND AND PURPOSE

Long-term outcomes after neurological manifestations due to COVID-19 are poorly known. The aim of our study was to evaluate the functional outcome and identify the risk factors of neurologic sequelae after COVID-19 associated with neurological manifestations (NeuroCOVID).

METHODS

We conducted a multi-center observational study six months after the acute neurological symptoms in patients from the French NeuroCOVID hospital-based registry.

RESULTS

We obtained data on 60 patients. NeuroCOVID had a negative impact on the quality of life (QoL) of 49% of patients. Age was a predictor of residual QoL impairment (OR: 1.06, 95% CI: 1.01-1.13, p=0.026). At six months, a significant residual disability was found in 51.7% of patients, and impaired cognition in 68.9% of cases. The main persistent neuropsychiatric manifestations were a persistent smell/taste disorder in 45% of patients, memory complaints in 34% of patients, anxiety or depression in 32% of patients.

CONCLUSIONS

NeuroCOVID likely carries a high risk of long-term neuropsychiatric disability. Long-term care and special attention should be given to COVID-19 patients, especially if they had neurological manifestations during acute infection.

Temporal trends of sex differences for COVID-19 infection, hospitalisation, severe disease, intensive care unit (ICU) admission and death: a meta-analysis of 229 studies covering over 10M patients

Background: This review aims to investigate the association of sex with the risk of multiple COVID-19 health outcomes, ranging from infection to death. Methods: Pubmed and Embase were searched through September 2020. We considered studies reporting sex and coronavirus disease 2019 (COVID-19) outcomes. Qualitative and quantitative data were extracted using standardised electronic data extraction forms with the assessment of Newcastle Ottawa Scale for risk of bias. Pooled trends in infection, hospitalization, severity, intensive care unit (ICU) admission and death rate were calculated separately for men and women and subsequently random-effects meta-analyses on relative risks (RR) for sex was performed. Results: Of 10,160 titles, 229 studies comprising 10,417,452 patients were included in the analyses. Methodological quality of the included studies was high (6.9 out of 9). Men had a higher risk for infection with COVID-19 than women (RR = 1.14, 95%CI: 1.07 to 1.21). When infected, they also had a higher risk for hospitalization (RR = 1.33, 95%CI: 1.27 to 1.41), higher risk for severe COVID-19 (RR = 1.22, 95%CI: 1.17 to 1.27), higher need for Intensive Care (RR = 1.41, 95%CI: 1.28 to 1.55), and higher risk of death (RR = 1.35, 95%CI: 1.28 to 1.43). Within the period studied, the RR for infection and severity increased for men compared to women, while the RR for mortality decreased for men compared to women. Conclusions: Meta-analyses on 229 studies comprising over 10 million patients showed that men have a higher risk for COVID-19 infection, hospitalization, disease severity, ICU admission and death. The relative risks of infection, disease severity and death for men versus women showed temporal trends with lower relative risks for infection and severity of disease and higher relative risk for death at the beginning of the pandemic compared to the end of our inclusion period. PROSPERO registration: CRD42020180085 (20/04/2020).

Association between viral hepatitis and increased risk of severe coronavirus disease 2019 (COVID-19) outcome: a systematic review and meta-analysis

AIM

The purpose of the current study is to analyze the potential association between viral hepatitis and the severity of COVID-19.

BACKGROUND

Coronavirus disease 2019 (COVID-19) is a worldwide concern that has created major issues with many aspects. It is important to identify the risk factors for severe outcomes of this disease. To date, no association between viral hepatitis and severe COVID-19 has not been established.

METHODS

Through November 5th, 2020, the databases of PubMed, Google Scholar, and medRxiv were systematically searched using specific keywords related to the focus of the study. All articles published on COVID-19 and viral hepatitis were retrieved. The Mantel-Haenszel formula with random-effects models was used to obtain the risk ratio (RR) along with its 95% confidence intervals (CIs) for dichotomous variables. The two-tailed p-value was set with a value ≤0.05 considered statistically significant. Restricted-maximum likelihood meta-regression was done for several variables, such as age, gender, hypertension, diabetes, and other liver disease.

RESULTS

Analysis results included a total of 16 studies with a total of 14,682 patients. Meta-analysis showed that viral hepatitis increases the risk of developing severe COVID-19 (RR 1.68 (95% CI 1.26 - 2.22), p = 0.0003, I 2 = 21%, random-effect modeling). According to the meta-regression analysis, the association between viral hepatitis and severe COVID-19 was not influenced by age (p = 0.067), diabetes (p = 0.057), or other liver disease (p = 0.646).

CONCLUSION

An increase of severe COVID-19 risk is associated with viral hepatitis. To reduce the risk of COVID-19, patients with viral hepatitis should be monitored carefully.

COVID-19 and chronic kidney disease: an updated overview of reviews

BACKGROUND

Coronavirus disease (COVID-19) has resulted in the death of more than 3.5 million people worldwide. While COVID-19 mostly affects the lungs, different comorbidities can have an impact on its outcomes. We performed an overview of reviews to assess the effect of Chronic Kidney Disease (CKD) on contracting COVID-19, hospitalization, mortality, and disease severity.

METHODS

We searched published and preprint databases. We updated the reviews by searching for primary studies published after August 2020, and prioritized reviews that are most updated and of higher quality using the AMSTAR tool.

RESULTS

We included 69 systematic reviews and 66 primary studies. Twenty-eight reviews reported on the prevalence of CKD among patients with COVID-19, which ranged from 0.4 to 49.0%. One systematic review showed an increased risk of hospitalization in patients with CKD and COVID-19 (RR = 1.63, 95% CI 1.03-2.58) (Moderate certainty). Primary studies also showed a statistically significant increase of hospitalization in such patients. Thirty-seven systematic reviews assessed mortality risk in patients with CKD and COVID-19. The pooled estimates from primary studies for mortality in patients with CKD and COVID-19 showed a HR of 1.48 (95% CI 1.33-1.65) (Moderate certainty), an OR of 1.77 (95% CI 1.54-2.02) (Moderate certainty) and a RR of 1.6 (95% CI 0.88-2.92) (Low certainty).

CONCLUSIONS

Our review highlights the impact of CKD on the poor outcomes of COVID-19, underscoring the importance of identifying strategies to prevent COVID-19 infection among patients with CKD.

How Did the Mental Health Care System in India Respond to COVID 19 Pandemic?

India with a population of 1.3 billion has a unique health care system in its different states. Mental health care varies widely across the country and this became even more apparent after the COVID-19 pandemic set in. This paper examines the various strategies in response to COVID-19 adopted by the Government of India, the health departments of the individual states, and other private players such as on-government organizations and the civil society. The cessation of many services including outpatient and inpatient care and the scarcity of medicines were serious impacts of COVID-19. The prolonged lockdown in many parts of the country impeded access to mental health care services since public transport was unavailable. This led to many relapses in persons with serious mental disorders. The emergence of new cases of psychosis and an increase in suicides were also seen. Tele consultations came to the fore and many helplines were started offering counseling and guidance regarding the availability of mental health care facilities. While these helped the urban dwellers, those in remote and rural areas were unable to use these services effectively. Many mental health wards were used for COVID-19 patients and mental health professionals were deployed for COVID-19 related duty. The severely mentally ill, the homeless mentally ill, and the elderly were especially vulnerable. Based on our experience with COVID-19, we urge a strong call for action, in terms of strengthening the primary care facilities and increasing the manpower resources to deliver mental health care.

No association of anti-osteoporosis drugs with COVID-19-related outcomes in women: a nationwide cohort study

This study was performed to evaluate whether the use of drugs in the treatment of osteoporosis in women is associated with COVID-19 outcomes. The results showed that the risk of hospitalization, intensive care unit admission, and mortality was not altered in individuals taking anti-osteoporosis drugs, suggesting no safety issues during a COVID-19 infection.

INTRODUCTION

Whether patients with COVID-19 receiving anti-osteoporosis drugs have lower risk of worse outcomes has not been reported yet. The aim of this study was to evaluate the association of anti-osteoporosis drug use with COVID-19 outcomes in women.

METHODS

Data obtained from a nationwide, multicenter, retrospective cohort of patients diagnosed with COVID-19 from March 11th to May 30th, 2020 was retrieved from the Turkish Ministry of Health Database. Women 50 years or older with confirmed COVID-19 who were receiving anti-osteoporosis drugs were compared with a 1:1 propensity score-matched COVID-19 positive women who were not receiving these drugs. The primary outcomes were hospitalization, ICU (intensive care unit) admission, and mortality.

RESULTS

A total of 1997 women on anti-osteoporosis drugs and 1997 control patients were analyzed. In the treatment group, 1787 (89.5%) women were receiving bisphosphonates, 197 (9.9%) denosumab, and 17 (0.9%) teriparatide for the last 12 months. Hospitalization and mortality rates were similar between the treatment and control groups. ICU admission rate was lower in the treatment group (23.0% vs 27.0%, p = 0.013). However, multivariate analysis showed that anti-osteoporosis drug use was not an independent associate of any outcome. Hospitalization, ICU admission, and mortality rates were similar among bisphosphonate, denosumab, or teriparatide users.

CONCLUSION

Results of this nationwide study showed that preexisting use of anti-osteoporosis drugs in women did not alter the COVID-19-related risk of hospitalization, ICU admission, and mortality. These results do not suggest discontinuation of these drugs during a COVID-19 infection.

Clinical Characteristics and Risk Factors for Severe Disease of Coronavirus Disease 2019 in a Low Case Fatality Rate Region in Korea

Background

Jeju island had the seventh highest incidence rate of coronavirus disease 2019 (COVID-19) but showed the lowest case fatality rate among 17 provinces of Korea, which may be associated with comorbidities and geographic differences. This study aimed to analyze the epidemiological and clinical characteristics of patients with COVID-19 and evaluate the risk factors for severe COVID-19 in Jeju island, Korea.

Materials and Methods

All patients with COVID-19 admitted between February 20, 2020, and June 19, 2021, at a single center were retrospectively enrolled in this study. The severity of illness was defined using five categories (asymptomatic, mild, moderate, severe, and critical) according to the National Institute of Health criteria. Then, patients with severe and critical illness were grouped into a severe group, whereas patients with asymptomatic, mild, and moderate illness were grouped into a non-severe group. Multivariate logistic regression analysis was performed using risk factors that were found to be significantly associated with the severe group.

Results

This study included 348 patients with a median age was 57 years, and 37.5% were aged 60 or older. Among them, 43.4% were male and 10.9% were asymptomatic, whereas 41.4%, 33.9%, 12.9%, and 1.1% had mild, moderate, severe, and critical illness. The all-cause mortality of patients with COVID-19 was 0.28% (1/348). Among confirmed patients with COVID-19, exposure to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was mainly within Jeju island (75.9%). The mean body mass index was 24.09 ± 4.04 kg/m², the median comorbidity index score was low in each group (0 in asymptomatic; 1 in mild; 1 in moderate; 1 in severe; and 2 in critical group, P <0.548). In the multivariable analysis, male sex [odds ratio (OR), 6.37; 95% confidence interval (CI), 2.69 – 15.13; P <0.001], ≥65 years of age (OR, 2.68; 95% CI, 1.18 – 6.10; P <0.019), chronic pulmonary disease (OR, 6.10; 95% CI, 1.40 – 26.61; P = 0.016), and length of fever duration (OR, 1.33; 95% CI, 1.19 – 1.49; P <0.001) were independently associated with severe COVID-19.

Conclusion

The most relevant risk factors of COVID-19 severity were male sex, older age, underlying chronic lung diseases, and duration of fever during hospitalization. The risk factors for severe COVID-19 were not significantly different from those reported in other studies. However, a lower proportion of the older population among confirmed SARS-CoV-2 cases might contribute to the lower fatality rate than the national rate.

Estimation of Coronavirus Disease 2019 Hospitalization Costs From a Large Electronic Administrative Discharge Database, March 2020-July 2021

Background

Information on the costs of inpatient care for patients with coronavirus disease 2019 (COVID-19) is very limited. This study estimates the per-patient cost of inpatient care for adult COVID-19 patients seen at >800 US hospitals.

Methods

Patients aged ≥18 years with ≥1 hospitalization during March 2020–July 2021 with a COVID-19 diagnosis code in a large electronic administrative discharge database were included. We used validated costs when reported; otherwise, costs were calculated using charges multiplied by cost-to-charge ratios. We estimated costs of inpatient care per patient overall and by severity indicator, age, sex, underlying medical conditions, and acute complications of COVID-19 using a generalized linear model with log link function and gamma distribution.

Results

The overall cost among 654673 patients hospitalized with COVID-19 was $16.2 billion. Estimated per-patient hospitalization cost was $24 826. Among surviving patients, estimated per-patient cost was $13 090 without intensive care unit (ICU) admission or invasive mechanical ventilation (IMV), $21 222 with ICU admission alone, and $59 742 with IMV. Estimated per-patient cost among patients who died was $27 017. Adjusted cost differential was higher among patients with certain underlying conditions (eg, chronic kidney disease [$12 391], liver disease [$8878], cerebrovascular disease [$7267], and obesity [$5933]) and acute complications (eg, acute respiratory distress syndrome [$43 912], pneumothorax [$25 240], and intracranial hemorrhage [$22 280]).

Conclusions

The cost of inpatient care for COVID-19 patients was substantial through the first 17 months of the pandemic. These estimates can be used to inform policy makers and planners and cost-effectiveness analysis of public health interventions to alleviate the burden of COVID-19.

Characteristics and outcomes of patients with COVID-19 with and without prevalent hypertension: a multinational cohort study

OBJECTIVE

To characterise patients with and without prevalent hypertension and COVID-19 and to assess adverse outcomes in both inpatients and outpatients.

DESIGN AND SETTING

This is a retrospective cohort study using 15 healthcare databases (primary and secondary electronic healthcare records, insurance and national claims data) from the USA, Europe and South Korea, standardised to the Observational Medical Outcomes Partnership common data model. Data were gathered from 1 March to 31 October 2020.

PARTICIPANTS

Two non-mutually exclusive cohorts were defined: (1) individuals diagnosed with COVID-19 (diagnosed cohort) and (2) individuals hospitalised with COVID-19 (hospitalised cohort), and stratified by hypertension status. Follow-up was from COVID-19 diagnosis/hospitalisation to death, end of the study period or 30 days.

OUTCOMES

Demographics, comorbidities and 30-day outcomes (hospitalisation and death for the 'diagnosed' cohort and adverse events and death for the 'hospitalised' cohort) were reported.

RESULTS

We identified 2 851 035 diagnosed and 563 708 hospitalised patients with COVID-19. Hypertension was more prevalent in the latter (ranging across databases from 17.4% (95% CI 17.2 to 17.6) to 61.4% (95% CI 61.0 to 61.8) and from 25.6% (95% CI 24.6 to 26.6) to 85.9% (95% CI 85.2 to 86.6)). Patients in both cohorts with hypertension were predominantly >50 years old and female. Patients with hypertension were frequently diagnosed with obesity, heart disease, dyslipidaemia and diabetes. Compared with patients without hypertension, patients with hypertension in the COVID-19 diagnosed cohort had more hospitalisations (ranging from 1.3% (95% CI 0.4 to 2.2) to 41.1% (95% CI 39.5 to 42.7) vs from 1.4% (95% CI 0.9 to 1.9) to 15.9% (95% CI 14.9 to 16.9)) and increased mortality (ranging from 0.3% (95% CI 0.1 to 0.5) to 18.5% (95% CI 15.7 to 21.3) vs from 0.2% (95% CI 0.2 to 0.2) to 11.8% (95% CI 10.8 to 12.8)). Patients in the COVID-19 hospitalised cohort with hypertension were more likely to have acute respiratory distress syndrome (ranging from 0.1% (95% CI 0.0 to 0.2) to 65.6% (95% CI 62.5 to 68.7) vs from 0.1% (95% CI 0.0 to 0.2) to 54.7% (95% CI 50.5 to 58.9)), arrhythmia (ranging from 0.5% (95% CI 0.3 to 0.7) to 45.8% (95% CI 42.6 to 49.0) vs from 0.4% (95% CI 0.3 to 0.5) to 36.8% (95% CI 32.7 to 40.9)) and increased mortality (ranging from 1.8% (95% CI 0.4 to 3.2) to 25.1% (95% CI 23.0 to 27.2) vs from 0.7% (95% CI 0.5 to 0.9) to 10.9% (95% CI 10.4 to 11.4)) than patients without hypertension.

CONCLUSIONS

COVID-19 patients with hypertension were more likely to suffer severe outcomes, hospitalisations and deaths compared with those without hypertension.