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      COVID-19 Prevention: Use of Self-Reported Tools to Screen Frail Older Adults

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      The Journal of Nutrition, Health & Aging
      Springer Paris

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          Abstract

          Dear Editor Identifying the co-existing frailty is of great importance in the COVID-19 pandemic (1). Older age, high number of comorbidities, and inflammatory markers i.e., C-reactive protein, D-dimer, and procalcitonin were associated with severity or progression of COVID-19 (2, 3). All of these studies indicate that older adults are at high risk of developing COVID-19 because of frailty and the aging immune system. Frailty is an emerging global health burden, with major implications for clinical practice and public health. Frailty refers to a geriatric syndrome that increases an individual’s vulnerability to degenerative changes and chronic diseases (4). It is most widely defined as an age-related biological syndrome characterized by the reduced function of several physiological systems. This degeneration decreases physiological reserves and increases the vulnerability to endogenous or exogenous shock. The syndrome has deep biological underpinnings and is related to aging and disability. Older individuals with this syndrome are more likely to have a higher risk of decreased physiological functions, worsened chronic diseases, and death. In other words, they have a higher chance of becoming seriously and life-threateningly ill than those with good health, implying they face the highest risk of COVID-19. Thus, to lessen the burden of mortality, reducing the risk of infection in this group is mandatory. COVID-19 will affect long-term care and older adults. Interventions against this disease, therefore, should be targeted for the most vulnerable groups, especially the elderly and frail individuals. The identification of frailty can help predict adverse clinical outcomes (e.g., disability, hospitalization, and death), patient recovery, and the risk of complications from acute illness or stress. In the first step, quick and validated self-reported frailty tools such as such as the FRAIL and frailty screening questionnaires (FSQ), which are easy-to-use frailty tools to predict worse outcomes in both community and emergency settings (5, 6), should be used to identify frailty among older adults. The mortality of COVID-19 is also correlated with its health-care burden. Therefore, preventive measures should be taken to reduce the risk of death due to this disease, e.g., early detection of frail older adults at risk of COVID-19. The elderly should also be encouraged to adopt precautions against the virus, such as washing hands frequently, checking body temperature daily, wearing masks, keeping their hands away from their faces, staying away from people with signs of illness, and maintaining close contact with local health officials and strong social support. These measures are essential for protecting the frail older adults and mitigating the severity of patient outcomes.

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          Most cited references3

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          Clinical Characteristics of Coronavirus Disease 2019 in China

          Abstract Background Since December 2019, when coronavirus disease 2019 (Covid-19) emerged in Wuhan city and rapidly spread throughout China, data have been needed on the clinical characteristics of the affected patients. Methods We extracted data regarding 1099 patients with laboratory-confirmed Covid-19 from 552 hospitals in 30 provinces, autonomous regions, and municipalities in mainland China through January 29, 2020. The primary composite end point was admission to an intensive care unit (ICU), the use of mechanical ventilation, or death. Results The median age of the patients was 47 years; 41.9% of the patients were female. The primary composite end point occurred in 67 patients (6.1%), including 5.0% who were admitted to the ICU, 2.3% who underwent invasive mechanical ventilation, and 1.4% who died. Only 1.9% of the patients had a history of direct contact with wildlife. Among nonresidents of Wuhan, 72.3% had contact with residents of Wuhan, including 31.3% who had visited the city. The most common symptoms were fever (43.8% on admission and 88.7% during hospitalization) and cough (67.8%). Diarrhea was uncommon (3.8%). The median incubation period was 4 days (interquartile range, 2 to 7). On admission, ground-glass opacity was the most common radiologic finding on chest computed tomography (CT) (56.4%). No radiographic or CT abnormality was found in 157 of 877 patients (17.9%) with nonsevere disease and in 5 of 173 patients (2.9%) with severe disease. Lymphocytopenia was present in 83.2% of the patients on admission. Conclusions During the first 2 months of the current outbreak, Covid-19 spread rapidly throughout China and caused varying degrees of illness. Patients often presented without fever, and many did not have abnormal radiologic findings. (Funded by the National Health Commission of China and others.)
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            Analysis of factors associated with disease outcomes in hospitalized patients with 2019 novel coronavirus disease

            Abstract Background Since early December 2019, the 2019 novel coronavirus disease (COVID-19) has caused pneumonia epidemic in Wuhan, Hubei province of China. This study aims to investigate the factors affecting the progression of pneumonia in COVID-19 patients. Associated results will be used to evaluate the prognosis and to find the optimal treatment regimens for COVID-19 pneumonia. Methods Patients tested positive for the COVID-19 based on nucleic acid detection were included in this study. Patients were admitted to 3 tertiary hospitals in Wuhan between December 30, 2019, and January 15, 2020. Individual data, laboratory indices, imaging characteristics, and clinical data were collected, and statistical analysis was performed. Based on clinical typing results, the patients were divided into a progression group or an improvement/stabilization group. Continuous variables were analyzed using independent samples t-test or Mann-Whitney U test. Categorical variables were analyzed using Chi-squared test or Fisher's exact test. Logistic regression analysis was performed to explore the risk factors for disease progression. Results Seventy-eight patients with COVID-19-induced pneumonia met the inclusion criteria and were included in this study. Efficacy evaluation at 2 weeks after hospitalization indicated that 11 patients (14.1%) had deteriorated, and 67 patients (85.9%) had improved/stabilized. The patients in the progression group were significantly older than those in the disease improvement/stabilization group (66 [51, 70] vs. 37 [32, 41] years, U = 4.932, P = 0.001). The progression group had a significantly higher proportion of patients with a history of smoking than the improvement/stabilization group (27.3% vs. 3.0%, χ 2  = 9.291, P = 0.018). For all the 78 patients, fever was the most common initial symptom, and the maximum body temperature at admission was significantly higher in the progression group than in the improvement/stabilization group (38.2 [37.8, 38.6] vs. 37.5 [37.0, 38.4]°C, U = 2.057, P = 0.027). Moreover, the proportion of patients with respiratory failure (54.5% vs. 20.9%, χ 2  = 5.611, P = 0.028) and respiratory rate (34 [18, 48] vs. 24 [16, 60] breaths/min, U = 4.030, P = 0.004) were significantly higher in the progression group than in the improvement/stabilization group. C-reactive protein was significantly elevated in the progression group compared to the improvement/stabilization group (38.9 [14.3, 64.8] vs. 10.6 [1.9, 33.1] mg/L, U = 1.315, P = 0.024). Albumin was significantly lower in the progression group than in the improvement/stabilization group (36.62 ± 6.60 vs. 41.27 ± 4.55 g/L, U = 2.843, P = 0.006). Patients in the progression group were more likely to receive high-level respiratory support than in the improvement/stabilization group (χ 2  = 16.01, P = 0.001). Multivariate logistic analysis indicated that age (odds ratio [OR], 8.546; 95% confidence interval [CI]: 1.628–44.864; P = 0.011), history of smoking (OR, 14.285; 95% CI: 1.577–25.000; P = 0.018), maximum body temperature at admission (OR, 8.999; 95% CI: 1.036–78.147, P = 0.046), respiratory failure (OR, 8.772, 95% CI: 1.942–40.000; P = 0.016), albumin (OR, 7.353, 95% CI: 1.098–50.000; P = 0.003), and C-reactive protein (OR, 10.530; 95% CI: 1.224−34.701, P = 0.028) were risk factors for disease progression. Conclusions Several factors that led to the progression of COVID-19 pneumonia were identified, including age, history of smoking, maximum body temperature at admission, respiratory failure, albumin, C-reactive protein. These results can be used to further enhance the ability of management of COVID-19 pneumonia.
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              Novel Frailty Screening Questionnaire (FSQ) Predicts 8-year Mortality in Older Adults in China.

              Although frailty status greatly impacts health care in countries with rapidly aging populations, little is known about the frailty status in Chinese older adults.
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                Author and article information

                Contributors
                malina0883@126.com
                Journal
                J Nutr Health Aging
                J Nutr Health Aging
                The Journal of Nutrition, Health & Aging
                Springer Paris (Paris )
                1279-7707
                1760-4788
                13 July 2020
                : 1
                Affiliations
                GRID grid.24696.3f, ISNI 0000 0004 0369 153X, Department of Geriatrics, Xuanwu Hospital, , Capital Medical University, National Clinical Research Center for Geriatric Diseases, ; Beijing, 100053 China
                Article
                1446
                10.1007/s12603-020-1446-9
                7355506
                7d61e763-f78c-4985-96af-15134e44be6f
                © Serdi-Éditions and Springer-Verlag France 2020

                This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.

                History
                : 20 June 2020
                : 23 June 2020
                Categories
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