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1.
Clin Exp Emerg Med ; 9(2): 120-127, 2022 Jun.
Article in English | MEDLINE | ID: covidwho-1939480

ABSTRACT

OBJECTIVE: To compare and analyze the differences in the sociodemographic and clinical characteristics of suicide attempters who visited an emergency department (ED) before and during the coronavirus disease (COVID-19) pandemic. METHODS: This single center, retrospective study was conducted by reviewing the medical records of patients in the "self-injury/suicide" category of the National Emergency Department Information System who visited an ED between January 2019 and December 2020. We obtained information on baseline characteristics, suicide attempt, and disposition. Data were analyzed using the chi-squared test. RESULTS: A total of 456 patients were included. The number of patients visiting the ED for suicide attempts increased by 18.2% (from 209 to 247 cases) during the COVID-19 pandemic, and the ratio of suicide attempters to the total number of ED visits increased by 48.8% (from 0.43% to 0.64%, P<0.001). There were significant differences in methods of suicide attempt, endotracheal intubation, ED disposition, and the presence of mental illness. Drug overdose (42.1% vs. 53.4%) and gas inhalation (5.7% vs. 8.5%) increased, and hanging decreased (6.0% vs. 2.0%) during the pandemic. Endotracheal intubation (13.9% vs. 5.7%) and intensive care unit admission (29.7% vs. 14.6%) decreased. More patients with the history of mental illness visited during the pandemic (54.0% vs. 70.1%). CONCLUSION: Since the COVID-19 pandemic began, suicide attempts have increased in this single ED although the lethality of those attempts is low.

2.
Medicina (Kaunas) ; 58(3)2022 Mar 20.
Article in English | MEDLINE | ID: covidwho-1760771

ABSTRACT

A 48-year-old female patient underwent a heart transplantation for acute fulminant myocarditis, following heterologous vaccination with the ChAdOx1 nCoV-19 and Pfizer-BioNTech COVID-19. She had no history of severe acute respiratory syndrome coronavirus-2 infection. She did not exhibit clinical signs or have laboratory findings of concomitant infection before or after vaccination. Heart transplantation was performed because her heart failed to recover with venoarterial extracorporeal oxygenation support. Organ autopsy revealed giant cell myocarditis, possibly related to the vaccines. Clinicians may have to consider the possibility of the development of giant cell myocarditis, especially in patients with rapidly deteriorating cardiac function and myocarditis symptoms after COVID-19 vaccination.


Subject(s)
COVID-19 , Myocarditis , COVID-19 Vaccines/adverse effects , ChAdOx1 nCoV-19 , Female , Giant Cells , Humans , Middle Aged , Myocarditis/etiology , Vaccination/adverse effects
4.
Sci Rep ; 11(1): 15828, 2021 08 04.
Article in English | MEDLINE | ID: covidwho-1343475

ABSTRACT

Precise remote evaluation of both suicide risk and psychiatric disorders is critical for suicide prevention as well as for psychiatric well-being. Using questionnaires is an alternative to labor-intensive diagnostic interviews in a large general population, but previous models for predicting suicide attempts suffered from low sensitivity. We developed and validated a deep graph neural network model that increased the prediction sensitivity of suicide risk in young adults (n = 17,482 for training; n = 14,238 for testing) using multi-dimensional questionnaires and suicidal ideation within 2 weeks as the prediction target. The best model achieved a sensitivity of 76.3%, specificity of 83.4%, and an area under curve of 0.878 (95% confidence interval, 0.855-0.899). We demonstrated that multi-dimensional deep features covering depression, anxiety, resilience, self-esteem, and clinico-demographic information contribute to the prediction of suicidal ideation. Our model might be useful for the remote evaluation of suicide risk in the general population of young adults for specific situations such as the COVID-19 pandemic.


Subject(s)
Mental Disorders/diagnosis , Mental Disorders/psychology , Neural Networks, Computer , Suicidal Ideation , Suicide, Attempted/psychology , Adolescent , Adult , Anxiety/psychology , Area Under Curve , Depression/psychology , Female , Humans , Male , Mental Disorders/prevention & control , Prognosis , Psychiatric Status Rating Scales , Republic of Korea , Resilience, Psychological , Risk Factors , Self Concept , Sensitivity and Specificity , Suicide, Attempted/prevention & control , Surveys and Questionnaires , Young Adult
5.
Nucleic Acids Res ; 49(D1): D1388-D1395, 2021 01 08.
Article in English | MEDLINE | ID: covidwho-910391

ABSTRACT

PubChem (https://pubchem.ncbi.nlm.nih.gov) is a popular chemical information resource that serves the scientific community as well as the general public, with millions of unique users per month. In the past two years, PubChem made substantial improvements. Data from more than 100 new data sources were added to PubChem, including chemical-literature links from Thieme Chemistry, chemical and physical property links from SpringerMaterials, and patent links from the World Intellectual Properties Organization (WIPO). PubChem's homepage and individual record pages were updated to help users find desired information faster. This update involved a data model change for the data objects used by these pages as well as by programmatic users. Several new services were introduced, including the PubChem Periodic Table and Element pages, Pathway pages, and Knowledge panels. Additionally, in response to the coronavirus disease 2019 (COVID-19) outbreak, PubChem created a special data collection that contains PubChem data related to COVID-19 and the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).


Subject(s)
COVID-19/prevention & control , Databases, Chemical , Information Storage and Retrieval/statistics & numerical data , SARS-CoV-2/isolation & purification , User-Computer Interface , COVID-19/epidemiology , COVID-19/virology , Drug Discovery/statistics & numerical data , Epidemics , Humans , Information Storage and Retrieval/methods , Internet , Public Health/statistics & numerical data , SARS-CoV-2/physiology , Software
6.
Sci Total Environ ; 730: 138996, 2020 Aug 15.
Article in English | MEDLINE | ID: covidwho-141476

ABSTRACT

According to data compiled by researchers at Johns Hopkins University in Baltimore, Maryland, more than two and half million cases of coronavirus disease 2019 (COVID-19), caused by a newly discovered virus named severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), have been confirmed on April 20, 2020 (Nature, 2020b). Since the emergence of this infectious disease in Asia (Wuhan, China) late last year, it has been subsequently span to every continent of the world except Antarctica (Rodríguez-Morales et al., 2020). Along with a foothold in every country, the current disease pandemic is disrupting practically every aspect of life all over the world. As the outbreak are continuing to evolve, several research activities have been conducted for better understanding the origin, functions, treatments, and preventions of this novel coronavirus. This review will be a summa of the key features of novel coronavirus (nCoV), the virus causing disease 2019 and the present epidemic situation worldwide up to April 20, 2020. It is expected that this record will play an important role to take more preventive measures for overcoming the challenges faced during this current pandemic.


Subject(s)
Betacoronavirus , Coronavirus Infections , Pandemics , Pneumonia, Viral , COVID-19 , Global Health , SARS-CoV-2
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