Nanyang Liu1, Jiahui Sun2, Xiyuan Wang2, Ming Zhao2, Qianqian Huang2, Hao Li1. 1. Department of Geratology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China. 2. Graduate School, Beijing University of Chinese Medicine, Beijing, China.
Abstract
BACKGROUND: The emergence of the coronavirus disease 2019 (COVID-19) has brought large challenges to dementia patients. We reviewed the existing literature on COVID-19 to assess the incidence and mortality of dementia comorbidities in COVID-19 patients. OBJECTIVE: To investigate the impact of pre-existing dementia comorbidities on COVID-19. METHODS: We searched the PubMed, Embase, and Web of Science databases for patients with preexisting dementia who were diagnosed with COVID-19. The statistical data on the prevalence and mortality of dementia comorbidities were examined. A fixed-or random-effect model was used to calculate the overall pooled risk estimates. Forest plots were generated to show the summarized results. RESULTS: A total of 265 articles were retrieved from the three databases. After removing duplicates and performing two screenings, 10 articles were selected for meta-analysis, including 119,218 participants. Overall, the meta-analysis of the 10 studies showed that the incidence of dementia in COVID-19 patients was (R: 9%, [95% CI: 6% to 13%]). Moreover, the meta-analysis of 9 studies showed that the mortality rate of individuals with dementia after being infected with COVID-19 was higher than that of individuals with no dementia (OR: 5.17 [95% CI: 2.31 to 11.59]). Substantial heterogeneity was observed in this meta-analysis. Significant publication bias was also found. CONCLUSION: Emerging literature shows that dementia comorbidities are a high risk factor for the prevalence and mortality of COVID-19. Our results should have an impact on preventive interventions and encourage more targeted approaches to prioritize older people with specific risk factors, such as dementia.
BACKGROUND: The emergence of the coronavirus disease 2019 (COVID-19) has brought large challenges to dementiapatients. We reviewed the existing literature on COVID-19 to assess the incidence and mortality of dementia comorbidities in COVID-19patients. OBJECTIVE: To investigate the impact of pre-existing dementia comorbidities on COVID-19. METHODS: We searched the PubMed, Embase, and Web of Science databases for patients with preexisting dementia who were diagnosed with COVID-19. The statistical data on the prevalence and mortality of dementia comorbidities were examined. A fixed-or random-effect model was used to calculate the overall pooled risk estimates. Forest plots were generated to show the summarized results. RESULTS: A total of 265 articles were retrieved from the three databases. After removing duplicates and performing two screenings, 10 articles were selected for meta-analysis, including 119,218 participants. Overall, the meta-analysis of the 10 studies showed that the incidence of dementia in COVID-19patients was (R: 9%, [95% CI: 6% to 13%]). Moreover, the meta-analysis of 9 studies showed that the mortality rate of individuals with dementia after being infected with COVID-19 was higher than that of individuals with no dementia (OR: 5.17 [95% CI: 2.31 to 11.59]). Substantial heterogeneity was observed in this meta-analysis. Significant publication bias was also found. CONCLUSION: Emerging literature shows that dementia comorbidities are a high risk factor for the prevalence and mortality of COVID-19. Our results should have an impact on preventive interventions and encourage more targeted approaches to prioritize older people with specific risk factors, such as dementia.
Authors: Marina Treskova-Schwarzbach; Laura Haas; Sarah Reda; Antonia Pilic; Anna Borodova; Kasra Karimi; Judith Koch; Teresa Nygren; Stefan Scholz; Viktoria Schönfeld; Sabine Vygen-Bonnet; Ole Wichmann; Thomas Harder Journal: BMC Med Date: 2021-08-27 Impact factor: 8.775
Authors: Tellen D Bennett; Richard A Moffitt; Janos G Hajagos; Benjamin Amor; Adit Anand; Mark M Bissell; Katie Rebecca Bradwell; Carolyn Bremer; James Brian Byrd; Alina Denham; Peter E DeWitt; Davera Gabriel; Brian T Garibaldi; Andrew T Girvin; Justin Guinney; Elaine L Hill; Stephanie S Hong; Hunter Jimenez; Ramakanth Kavuluru; Kristin Kostka; Harold P Lehmann; Eli Levitt; Sandeep K Mallipattu; Amin Manna; Julie A McMurry; Michele Morris; John Muschelli; Andrew J Neumann; Matvey B Palchuk; Emily R Pfaff; Zhenglong Qian; Nabeel Qureshi; Seth Russell; Heidi Spratt; Anita Walden; Andrew E Williams; Jacob T Wooldridge; Yun Jae Yoo; Xiaohan Tanner Zhang; Richard L Zhu; Christopher P Austin; Joel H Saltz; Ken R Gersing; Melissa A Haendel; Christopher G Chute Journal: medRxiv Date: 2021-01-23
Authors: Tellen D Bennett; Richard A Moffitt; Janos G Hajagos; Benjamin Amor; Adit Anand; Mark M Bissell; Katie Rebecca Bradwell; Carolyn Bremer; James Brian Byrd; Alina Denham; Peter E DeWitt; Davera Gabriel; Brian T Garibaldi; Andrew T Girvin; Justin Guinney; Elaine L Hill; Stephanie S Hong; Hunter Jimenez; Ramakanth Kavuluru; Kristin Kostka; Harold P Lehmann; Eli Levitt; Sandeep K Mallipattu; Amin Manna; Julie A McMurry; Michele Morris; John Muschelli; Andrew J Neumann; Matvey B Palchuk; Emily R Pfaff; Zhenglong Qian; Nabeel Qureshi; Seth Russell; Heidi Spratt; Anita Walden; Andrew E Williams; Jacob T Wooldridge; Yun Jae Yoo; Xiaohan Tanner Zhang; Richard L Zhu; Christopher P Austin; Joel H Saltz; Ken R Gersing; Melissa A Haendel; Christopher G Chute Journal: JAMA Netw Open Date: 2021-07-01
Authors: Kathy Y Liu; Robert Howard; Sube Banerjee; Adelina Comas-Herrera; Joanne Goddard; Martin Knapp; Gill Livingston; Jill Manthorpe; John T O'Brien; Ross W Paterson; Louise Robinson; Martin Rossor; James B Rowe; David J Sharp; Andrew Sommerlad; Aida Suárez-González; Alistair Burns Journal: Int J Geriatr Psychiatry Date: 2021-05-27 Impact factor: 3.850