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Taipei Veterans General Hospital1, The Chinese University of Hong Kong2, Mahidol University3, University of Malaya4, South Korean Ministry for Health, Welfare and Family Affairs5, Ajou University6, Khon Kaen University7, Kyung Hee University8, National Cheng Kung University9, Chinese Ministry of Health10, Kyoto University11, University of Tokyo12
TL;DR: The AWGS consensus report is believed to promote more Asian sarcopenia research, and most important of all, to focus on sarc Openia intervention studies and the implementation of sarcopenian in clinical practice to improve health care outcomes of older people in the communities and the healthcare settings in Asia.
2,976 citations
National Yang-Ming University1, The Chinese University of Hong Kong2, Mahidol University3, University of Tokyo4, Seoul National University Bundang Hospital5, Peking Union Medical College Hospital6, Kyung Hee University7, Nagoya University8, Seoul National University9, Taipei Veterans General Hospital10, Ajou University11, Tan Tock Seng Hospital12, Osaka University13, University of Tsukuba14, Chinese Ministry of Health15
TL;DR: The Asian Working Group for Sarcopenia 2019 introduces "possible sarcopenia," defined by either low muscle strength or low physical performance only, specifically for use in primary health care or community-based health promotion, to enable earlier lifestyle interventions.
2,287 citations
TL;DR: Survival analysis revealed that male, elder age, leukocytosis, high LDH level, cardiac injury, hyperglycemia, and high-dose corticosteroid use were associated with death in patients with severe COVID-19.
Abstract: Background In December 2019, the coronavirus disease 2019 (COVID-19) outbreak occurred in Wuhan. Data on the clinical characteristics and outcomes of patients with severe COVID-19 are limited. Objective We sought to evaluate the severity on admission, complications, treatment, and outcomes of patients with COVID-19. Methods Patients with COVID-19 admitted to Tongji Hospital from January 26, 2020, to February 5, 2020, were retrospectively enrolled and followed-up until March 3, 2020. Potential risk factors for severe COVID-19 were analyzed by a multivariable binary logistic model. Cox proportional hazard regression model was used for survival analysis in severe patients. Results We identified 269 (49.1%) of 548 patients as severe cases on admission. Older age, underlying hypertension, high cytokine levels (IL-2R, IL-6, IL-10, and TNF-α), and high lactate dehydrogenase level were significantly associated with severe COVID-19 on admission. The prevalence of asthma in patients with COVID-19 was 0.9%, markedly lower than that in the adult population of Wuhan. The estimated mortality was 1.1% in nonsevere patients and 32.5% in severe cases during the average 32 days of follow-up period. Survival analysis revealed that male sex, older age, leukocytosis, high lactate dehydrogenase level, cardiac injury, hyperglycemia, and high-dose corticosteroid use were associated with death in patients with severe COVID-19. Conclusions Patients with older age, hypertension, and high lactate dehydrogenase level need careful observation and early intervention to prevent the potential development of severe COVID-19. Severe male patients with heart injury, hyperglycemia, and high-dose corticosteroid use may have a high risk of death.
1,690 citations
TL;DR: China has already reached the national goal of reducing HBsAg prevalence to less than 1% among children under 5 years and has prevented an estimated 16-20 million HBV carriers through hepatitis B vaccination of infants and immunization program should be further strengthened to reach those remaining at highest risk.
858 citations
TL;DR: The surveillance and intervention mechanisms needed to ameliorate the increasing burden of chronic diseases are developing rapidly, taking account of the lessons learned over the past two decades.
549 citations
Authors
Showing all 1071 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Gang Chen | 167 | 3372 | 149819 |
| Jian Li | 133 | 2863 | 87131 |
| Peng Li | 95 | 1548 | 45198 |
| Lin Lu | 65 | 361 | 17508 |
| Min Zhou | 63 | 332 | 23479 |
| Séamus Fanning | 61 | 442 | 13661 |
| Chuan Qin | 60 | 326 | 21708 |
| Ying Zhou | 60 | 663 | 14349 |
| Wei Yang | 60 | 430 | 14270 |
| Yongning Wu | 57 | 483 | 12380 |
| Jiang-Fan Chen | 55 | 122 | 10298 |
| Yuelong Shu | 55 | 285 | 15872 |
| Jing-Yuan Fang | 54 | 289 | 10826 |
| Jia Qu | 53 | 352 | 9710 |
| Hui Lu | 43 | 144 | 9071 |