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Age-related white matter lesion (WML) is considered a manifestation of sporadic cerebral small vessel disease and an important pathological substrate for dementia. Asia is notable for its large population with a looming dementia epidemic. Yet, the burden of WML and its associated risk factors across different Asian societies are unknown. Subjects from 9 Asian cities (Bangkok, Bandung, Beijing, Bengaluru, Hong Kong, Kaohsiung, Manila, Seoul, and Singapore) were recruited (n = 5701) and classified into (i) stroke/transient ischemic attack (TIA), (ii) Alzheimer's disease (AD)/mild cognitive impairment (MCI), or (iii) control groups. Data on vascular risk factors and cognitive performance were collected. The severity of WML was visually rated on MRI or CT. The prevalence of moderate-to-severe WML was the highest in subjects with stroke/TIA (43.3%). Bandung Indonesia showed the highest prevalence of WML, adjusted for age, sex, education, disease groups, and imaging modality. Hypertension and hyperlipidemia were significant risk factors for WML, and WML was negatively associated with MMSE in all groups. WML is highly prevalent in Asia and is associated with increasing age, hypertension, hyperlipidemia, and worse cognitive performance. Concerted efforts to prevent WML will alleviate the huge dementia burden in the rapidly aging Asian societies. [ABSTRACT FROM AUTHOR]

Anticancer agents can induce sarcoidosis. Interferon-alpha, which is used for the treatment of malignant melanoma and renal cell cancer, is one causative agent of sarcoidosis. However, there are few reports of interferon-alpha-induced sarcoidosis in patients with malignant melanoma. Clinically, it is important to consider the possibility of sarcoidosis in such patients because it could be easily regarded as a metastatic lesion due to underlying malignancy and given unnecessary treatment. Here, we report on the first case of interferon-alpha-induced sarcoidosis in an Asian melanoma patient. [ABSTRACT FROM AUTHOR]

The aim of this study is to provide a more accurate representation of COVID-19's case fatality rate (CFR) by performing meta-analyses by continents and income, and by comparing the result with pooled estimates. We used multiple worldwide data sources on COVID-19 for every country reporting COVID-19 cases. On the basis of data, we performed random and fixed meta-analyses for CFR of COVID-19 by continents and income according to each individual calendar date. CFR was estimated based on the different geographical regions and levels of income using three models: pooled estimates, fixed- and random-model. In Asia, all three types of CFR initially remained approximately between 2.0% and 3.0%. In the case of pooled estimates and the fixed model results, CFR increased to 4.0%, by then gradually decreasing, while in the case of random-model, CFR remained under 2.0%. Similarly, in Europe, initially, the two types of CFR peaked at 9.0% and 10.0%, respectively. The random-model results showed an increase near 5.0%. In high-income countries, pooled estimates and fixed-model showed gradually increasing trends with a final pooled estimates and random-model reached about 8.0% and 4.0%, respectively. In middle-income, the pooled estimates and fixed-model have gradually increased reaching up to 4.5%. in low-income countries, CFRs remained similar between 1.5% and 3.0%. Our study emphasizes that COVID-19 CFR is not a fixed or static value. Rather, it is a dynamic estimate that changes with time, population, socioeconomic factors, and the mitigatory efforts of individual countries., (© 2022 Wiley Periodicals LLC.)

Background: In Asia, where illiteracy rates are high, determining the degree to which neuropsychological measures can be used to identify cognitive impairment in illiterate elders is important. The aim of this study was to evaluate the effectiveness of using formal neuropsychological assessments to distinguish healthy illiterate elders from dementia patients., Methods: We compared the cognitive performance of healthy elders who were illiterate (illiterate NC, n = 25) with those who were literate (literate NC, n = 25), literate patients with mild Alzheimer's disease (literate AD, n = 25), and illiterate patients with mild AD (illiterate AD, n = 25). Neuropsychological measures included the Mini-Mental State Examination (MMSE), the verbal fluency test, the Boston naming test, the Rosen drawing test, and the verbal learning test., Results: In the between-group analyses, the scores on all tests, except verbal fluency and recognition memory, were lower for illiterate NC compared to the literate NC. The scores on the MMSE, Boston naming test, Rosen drawing test, and immediate free recall could not distinguish the illiterate NC from literate AD. However, the scores on all tests, except the Rosen drawing test, could distinguish illiterate NC from illiterate AD. ROC analyses showed the same pattern of results. In addition, age-, sex-, and education-matched cut-off scores of all tests, except immediate recall and delayed recall trials of the verbal learning test, showed good specificities in participants who were illiterate compared to those in participants who were literate., Conclusion: These findings suggest that the impact of literacy on neuropsychological test performance is an important aspect of cognitive evaluations for elders who are illiterate.