We reviewed the clinical features, prevalence, pathophysiology, and prevention and treatment of delirium in patients with coronavirus disease of 2019 (COVID-19). Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes COVID-19, has neurotropic properties, and can penetrate the central nervous system and affect brain neurons. These characteristics may explain the fact that COVID-19 patients may be particularly susceptible to delirium. COVID-19 delirium occurred more frequently in intensive care unit and emergency room settings. Patients with neurologic disorders and the elderly were more vulnerable to delirium. Clinical symptoms of COVID-19 delirium may manifest as a hyper/hypoactive type. Prevention and treatment appear to be similar to conventional treatment strategies. And the patient’s feeling of isolation due to social distancing and a highly intensive labor force of medical personnel must be overcome. Melatonin, alpha-2 agonist, antipsychotics, and valproic acid have been recommended for the treatment of delirium symptoms. However, this article did not go through a systematic literature review.

OBJECTIVE: The purpose of this study was to assess the validity of CAGE (cut down, annoyed, guilty feeling, eye-opener) for older adults in community METHODS: Randomly selected alcohol drinking 182 older adults over 65 years of age in Incheon-Chungu participated in this study. We assessed alcohol use disorder by Korean Composite International Diagnostic Interview (K-CIDI) and interviewed by CAGE. The CAGE questionnaire is a brief alcohol screening questionnaire that can be interviewer or self-administered. Sensitivity, specificity, positive predictive value and receiver operating characteristics (ROC) curve for CAGE scores of 1-4 for older adults over 65 years of age was calculated. RESULTS: The mean age of 182 people was 71.3 (+/-5.2) years old and the number of male and female was 142 (78.0%) and 40 (22.0%) respectively. In 239 alcohol drinking older adults, 182 (76.2%) people answered in CAGE and CIDI. Among 182 people, 58 was Alcohol Use Disorder (AUD) and 124 was non-AUD. There was no age and educational differences between 182 people (case group) and 57 people (exclusion group). The sensitivity and specificity for a cut-off score of two was 72.5% and 85.5% respectively. The calculation of area under curve (AUC) by Receiver Operating Characteristics (ROC) was 0.806. CONCLUSION: The CAGE can easily discriminate older adults with alcohol use disorder from those without such a history. We suggest a score of '2' as the optimal cut-off score of CAGE.
Adult* ; Alcohol Drinking ; Area Under Curve ; Female ; Humans ; Male ; Mass Screening ; Surveys and Questionnaires ; ROC Curve ; Sensitivity and Specificity

No abstract available.
Migraine Disorders