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      Association between mental illness and COVID-19 in South Korea: a post-hoc analysis

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          Abstract

          We are honoured to respond to the letters by Hirofumi Hirakawa and colleagues 1 and Jewel Park and colleagues 2 regarding our Article, 3 which investigated the potential association between pre-existing mental illness and positivity for SARS-CoV-2 and clinical outcomes of COVID-19 in a South Korean nationwide cohort. The authors proposed the need for further analysis stratified by subtype of psychiatric disorders and region of residence. Hirakawa and colleagues pointed out that our study did not have a subgroup analysis of mental illness by subtype. Therefore, we did a post-hoc analysis to investigate the potential association between COVID-19 susceptibility and specific pre-existing psychiatric disorders (appendix pp 2–3). We used propensity score matching between 47 058 individuals without a mental illness and 47 058 with a mental illness, as previously described. 3 The risk of SARS-CoV-2 infection was associated with 95 (4·1%) of 2321 patients who misused alcohol or drugs, compared with 1391 (3·0%) of 47 058 patients who did not have any mental illness (table , appendix p 6; fully adjusted odds ratio [OR] 1·41, 95% CI 1·14–1·74), but was not associated with patients having anxiety and stress-related disorders (951 [2·8%] of 34 536), mood disorders (707 [2·9%] of 24 804), personality disorders (13 [3·3%] of 400), or eating disorders (four [1·3%] of 313). Table Propensity score-matched adjusted ORs for the risk of those with a mental illness testing positive for SARS-CoV-2 stratified by subtype of psychiatric disorders COVID-19 event number of total number Minimally adjusted OR * Fully adjusted OR † Original analysis No mental illness 1391/47 058 (3·0%) 1 (ref) 1 (ref) Any mental illness 1383/47 058 (2·9%) 0·99 (0·92–1·07) 1·00 (0·93–1·08) Other mental illness 1023/36 257 (2·8%) 0·93 (0·85–1·01) 0·94 (0·86–1·02) Severe mental illness 360/10 801 (3·3%) 1·11 (0·99–1·23) 1·10 (0·99–1·22) Post-hoc analysis No mental illness 1391/47 058 (3·0%) 1 (ref) 1 (ref) Anxiety and stress-related disorders 951/34 536 (2·8%) 0·92 (0·85–1·01) 0·94 (0·87–1·02) Mood disorders (excluding people with psychotic symptoms) 707/24 804 (2·9%) 0·96 (0·87–1·05) 0·97 (0·89–1·06) Alcohol or drug misuse 95/2321 (4·1%) 1·39 (1·12–1·71)‡ 1·41 (1·14–1·74)‡ Personality disorders 13/400 (3·3%) 1·09 (0·62–1·90) 1·10 (0·63–1·92) Eating disorders 4/313 (1·3%) 0·41 (0·14–1·13) 0·43 (0·16–1·15) Data are OR (95% CI) unless specified. OR=odds ratio. * Minimally adjusted for age and gender. † Fully adjusted for age; gender; region of residence; history of diabetes, cardiovascular disease, cerebrovascular disease, chronic obstructive pulmonary disease, asthma, hypertension, or chronic kidney disease; and Charlson comorbidity index. ‡ Significant differences (p<0·05). Residents of the Daegu–Gyeongbuk region had the highest number in all of South Korea of COVID-19 cases (special pandemic control area) and two clusters of COVID-19 cases at a psychiatric hospital. 4 Although we matched and adjusted for the region of residence (urban or rural area), 3 Park and colleagues suggested that our main results should be interpreted carefully given our dataset bias, which could have led to the unfavourable outcomes of COVID-19. Therefore, we investigated the differences between the Daegu–Gyeongbuk region and the other areas regarding severe mental illness and COVID-19 susceptibility and clinical outcomes. Among the 216 418 people tested for SARS-CoV-2, we identified 34 651 (16·0%) patients with COVID-19 in the Daegu–Gyeongbuk region and 181 767 (84·0%) patients with COVID-19 in other areas. We used propensity score matching for both groups (appendix pp 7, 10, 11; Daegu–Gyeongbuk matched cohort, n=15 756; other areas matched cohort, n=78 148; standardised mean difference in each cohort <0·08). SARS-CoV-2 test positivity was not associated with patients having severe mental illness in the Daegu–Gyeongbuk region (fully adjusted OR 1·05, 95% CI 0·90–1·23) or those in the other areas (0·94, 95% CI 0·76–1·17) compared with patients without mental illness, which is in agreement with the results of our original analysis (appendix p 4–6, 9). Among the 7160 patients positive for SARS-CoV-2, we identified 3827 (53·4%) patients with COVID-19 in the Daegu–Gyeongbuk region and 3333 (46·6%) patients with COVID-19 in other areas. We used propensity score matching for both groups (appendix pp 8, 12, 13; Daegu–Gyeongbuk matched cohort, n=1718; other areas matched cohort, n=848; standardised mean difference in each cohort <0·1). Patients with severe mental illness in the Daegu–Gyeongbuk region had a high risk of severe COVID-19 outcomes (fully adjusted OR 2·55, 95% CI 1·59–4·10), which was similiar to patients in other areas (2·66, 95% CI 1·08–6·57). Our post-hoc analysis showed a potential association between mental illness and COVID-19 stratified by subtype of pre-existing psychiatric disorders and region. According to a cohort analysis, patients with depression or anxiety are more susceptible to SARS-CoV-2 infection, 5 which is inconsistent with our results. Mental illness influenced several environmental risk factors; thus, strict propensity score matching and risk adjustment were required to understand the effect of psychiatric disorders. We found novel relationships between SARS-CoV-2 positivity and alcohol or drug misuse, which were not reported in our original analysis. Biologically, chronic alcohol ingestion increases alveolar permeability which might facilitate viral entry to the lung and decrease the pulmonary immune defence to pathogens, consequently increasing the rate of the infection. 6 Also, because alcohol or drugs are usually consumed during social activity and talking, these people are highly likely to violate rules of social distancing and wearing masks. 7 Consistent with other reports, these findings identified people who misused alcohol or drugs as a susceptible population at increased risk of COVID-19, showing the need to screen and treat this population to control the COVID-19 pandemic. 7 Although there were clusters of infections associated with COVID-19 at psychiatric hospitals in some areas, our region-stratified results were similar to our main results, suggesting that patients with a severe mental illness were at a slightly higher risk of having severe clinical outcomes of COVID-19 than were patients with no history of mental illness, independent of regional COVID-19 influential factors. This online publication has been corrected. The corrected version first appeared at thelancet.com/psychiatry on February 26, 2021

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          Most cited references6

          • Record: found
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          Association between mental illness and COVID-19 susceptibility and clinical outcomes in South Korea: a nationwide cohort study

          Background Evidence for the associations between mental illness and the likelihood of a positive severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) test result and the clinical outcomes of COVID-19 is scarce. We aimed to investigate these associations with data from a national register in South Korea. Methods A nationwide cohort study with propensity score matching was done in South Korea using data collected from the Health Insurance Review and Assessment Service of Korea. We defined mental illness as present if one of the relevant ICD-10 codes was recorded at least twice within 1 year for an outpatient or inpatient. Severe mental illness was considered as non-affective or affective disorders with psychotic features. We included all patients aged older than 20 years who were tested for SARS-CoV-2 through services facilitated by the Korea Centers for Disease Control and Prevention, the Health Insurance Review and Assessment Service of Korea, and the Ministry of Health and Welfare, South Korea. We investigated the primary outcome (SARS-CoV-2 test positivity) in the entire cohort and the secondary outcomes (severe clinical outcomes of COVID-19: death, admission to the intensive care unit, or invasive ventilation) among those who tested positive. Findings Between Jan 1 and May 15, 2020, 216 418 people were tested for SARS-CoV-2, of whom 7160 (3·3%) tested positive. In the entire cohort with propensity score matching, 1391 (3·0%) of 47 058 patients without a mental illness tested positive for SARS-CoV-2, compared with 1383 (2·9%) of 48 058 with a mental illness (adjusted odds ratio [OR] 1·00, 95% CI 0·93–1·08). Among the patients who tested positive for SARS-CoV-2, after propensity score matching, 109 (8·3%) of 1320 patients without a mental illness had severe clinical outcomes of COVID-19 compared with 128 (9·7%) of 1320 with a mental illness (adjusted OR 1·27, 95% CI 1·01–1·66). Interpretation Diagnosis of a mental illness was not associated with increased likelihood of testing positive for SARS-CoV-2. Patients with a severe mental illness had a slightly higher risk for severe clinical outcomes of COVID-19 than patients without a history of mental illness. Clinicians treating patients with COVID-19 should be aware of the risk associated with pre-existing mental illness. Funding National Research Foundation of Korea.
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            Pre-pandemic psychiatric disorders and risk of COVID-19: a UK Biobank cohort analysis

            Background Psychiatric morbidities have been associated with a risk of severe infections through compromised immunity, health behaviours, or both. However, data are scarce on the association between multiple types of pre-pandemic psychiatric disorders and COVID-19. We aimed to assess the association between pre-pandemic psychiatric disorders and the subsequent risk of COVID-19 using UK Biobank. Methods For this cohort analysis, we included participants from UK Biobank who were registered in England and excluded individuals who died before Jan 31, 2020, (the start of the COVID-19 outbreak in the UK) or had withdrawn from UK Biobank. Participants diagnosed with a psychiatric disorder before Jan 31 were included in the group of individuals with pre-pandemic psychiatric disorders, whereas participants without a diagnosis before the outbreak were included in the group of individuals without pre-pandemic psychiatric disorders. We used the Public Health England dataset, UK Biobank hospital data, and death registers to collect data on COVID-19 cases. To examine the relationship between pre-pandemic psychiatric disorders and susceptibility to COVID-19, we used logistic regression models to estimate odds ratios (ORs), controlling for multiple confounders and somatic comorbidities. Key outcomes were all COVID-19, COVID-19 specifically diagnosed in inpatient care, and COVID-19-related deaths. ORs were also estimated separately for each psychiatric disorder and on the basis of the number of pre-pandemic psychiatric disorders. As a positive disease control, we repeated analyses for hospitalisation for other infections. Findings We included 421 014 UK Biobank participants in our study and assessed their COVID-19 status between Jan 31 and July 26, 2020. 50 809 participants were diagnosed with psychiatric disorders before the outbreak, while 370 205 participants had no psychiatric disorders. The mean age at outbreak was 67·80 years (SD 8·12). We observed an elevated risk of COVID-19 among individuals with pre-pandemic psychiatric disorders compared with that of individuals without such conditions. The fully adjusted ORs were 1·44 (95% CI 1·28–1·62) for All COVID-19 cases, 1·55 (1·34–1·78) for Inpatient COVID-19 cases, and 2·03 (1·59–2·59) for COVID-19-related deaths. We observed excess risk, defined as risk that increased with the number of pre-pandemic psychiatric disorders, across all diagnostic categories of pre-pandemic psychiatric disorders. We also observed an association between psychiatric disorders and elevated risk of hospitalisation due to other infections (OR 1·74, 95% CI 1·58–1·93). Interpretation Our findings suggest that pre-existing psychiatric disorders are associated with an increased risk of COVID-19. These findings underscore the need for surveillance of and care for populations with pre-existing psychiatric disorders during the COVID-19 pandemic. Funding National Natural Science Foundation of China.
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              Chronic alcohol abuse, acute respiratory distress syndrome, and multiple organ dysfunction.

              To review the effects of chronic alcohol abuse on the incidence, severity, and pathogenesis of acute respiratory distress syndrome (ARDS) and multiple organ dysfunction. A summary of published medical literature from MEDLINE search files and other reviews published concerning chronic alcohol abuse and critical illness. A history of chronic alcohol abuse is associated with an increased incidence and severity of ARDS in critically ill patients. In two separate epidemiologic studies, involving 571 intensive care patients, chronic alcohol abuse was a significant comorbid variable that increased the incidence of ARDS by nearly three-fold and was associated with more severe nonpulmonary organ dysfunction. In addition, nearly 50% of all ARDS patients had a significant history of chronic alcohol abuse, making the association between chronic alcohol abuse and ARDS a common scenario in the intensive care unit. By using animal models of chronic ethanol ingestion, researchers have identified alcohol-mediated alterations in epithelial and endothelial cell function, surfactant synthesis and secretion, alveolar-capillary barrier function, and lung matrix content and composition. More importantly, similar changes have been reported in humans with a history of chronic alcohol abuse. Individuals with a history of chronic alcohol abuse have decreased concentrations of glutathione in the epithelial lining fluid of the lung, which do not significantly increase after 1 wk of abstinence from alcohol. The total protein concentration in the epithelial lining fluid also is increased in these individuals with a history of chronic alcohol abuse compared with healthy controls, suggesting alterations in alveolar-capillary barrier function. Chronic alcohol abuse is associated with an increased incidence of ARDS and the severity of multiple organ dysfunction. This research has implications in understanding the diagnosis of, and prognosis for, critically ill patients who are at risk of developing ARDS. It also may lead to the development of novel therapies for those patients at greatest risk of acute lung injury as a consequence of chronic alcohol abuse.
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                Author and article information

                Journal
                Lancet Psychiatry
                Lancet Psychiatry
                The Lancet. Psychiatry
                Elsevier Ltd.
                2215-0366
                2215-0374
                19 February 2021
                19 February 2021
                Affiliations
                [a ]Department of Data Science, Sejong University College of Software Convergence, Seoul, South Korea
                [b ]Department of Ophthalmology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
                [c ]Department of Clinical Medical Sciences, Seoul National University, Seoul, South Korea
                [d ]Department of Psychiatry and Behavioral Science, Institute of Human Behavioral Medicine, Seoul National University College of Medicine, Seoul, South Korea
                [e ]Department of Psychiatry, Chonnam National University Medical School, Gwangju, South Korea
                [f ]Department of Pediatrics, Yonsei University College of Medicine, Seoul, South Korea
                [g ]Department of Pediatrics, Seoul National, University College of Medicine, Seoul 03080, South Korea
                Article
                S2215-0366(21)00043-2
                10.1016/S2215-0366(21)00043-2
                7906626
                33617761
                8e88df46-b330-4f2f-85b5-7097501be3c9
                © 2021 Elsevier Ltd. All rights reserved.

                Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

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