key: cord-0921584-1nrsdjg8
authors: Hariyanto, Timotius Ivan; Putri, Cynthia; Situmeang, Rocksy Fransisca V.; Kurniawan, Andree
title: Dementia is a predictor for mortality outcome from coronavirus disease 2019 (COVID-19) infection
date: 2020-10-26
journal: Eur Arch Psychiatry Clin Neurosci
DOI: 10.1007/s00406-020-01205-z
sha: 76adc0604c53899af0e101a6f4fa1aab2f7cfd7e
doc_id: 921584
cord_uid: 1nrsdjg8

nan

COVID-19 patients with a clinically validated definition of "mortality" were included in this meta-analysis. The references of all identified studies were also analyzed (forward and backward citation tracking) to identify other potentially eligible articles.

A meta-analysis was performed using Review Manager 5.4 (Cochrane Collaboration) software. Dichotomous variables were calculated using the Mantel-Haenszel formula with random-effects models regardless of its heterogeneity. The effect estimate was reported as risk ratio (RR) along with its 95% confidence intervals (CIs) for dichotomous variables, respectively. P value was two-tailed, and the statistical significance set at ≤ 0.05.

A total of 32,509 records were obtained through systematic electronic searches and other ways. After screening titles, abstracts, and full texts, 5 studies [2-6] with a total of 881 COVID-19 patients were included in the meta-analysis. The essential characteristics of included studies are summarized in Table 1 , whilst the individual and pooled RRs for dementia predicting severe COVID-19 is shown in Fig. 1 . Our pooled analysis showed that dementia significantly associated with an increased risk of mortality from COVID-19 [RR 2.60 (95% CI 1.86-3.65), p < 0.00001, I 2 = 44%, random-effect modelling].

Based on our meta-analysis of available data, dementia seems to be associated with an enhanced risk of mortality from COVID-19 infection. Several reasons can be proposed to explain this result. First, most of the patients with dementia were old in age and have other comorbid medical conditions that could increase the severity and mortality of infections. Older patients with COVID-19 infection may present with atypical symptoms of infections. They may be afebrile with non-respiratory symptoms, such as delirium or isolated functional decline without any obvious physical symptoms [7] . These atypical presentations of COVID-19 may impede the early recognition of the disease, increase COVID-19 spread, and mortality. Moreover, metaanalysis has also shown that older age (≥ 65 years old) and the presence of comorbid diseases were associated with a higher risk of mortality from COVID-19 infections [8] . Second, there is an ApoE e4 genotype which was associated with dementia. This genotype has a role to modulate the pro/anti-inflammatory phenotypes of macrophage. Besides expressing ACE2, the receptor for SARS-CoV-2, many cell types in the lung, such as macrophages, type I and type II alveolar epithelial cells, also express the ApoE e4 genotype [9] . Therefore, it is possible that having one or two copies of ApoE4 can make the robust innate immune response and cytokine storm which contribute to the development of COVID-19 complications, such as acute respiratory distress syndrome (ARDS), and lead to mortality. A study by Kuo et al. [10] have also demonstrated that patients with ApoE e4e4 were more likely to have severe COVID-19 infections that increase the risk of mortality.

Hence, patients with dementia should be given extra care and monitoring to minimize exposure to the virus. Physicians can use the telemedicine-based practice to provide care and evaluations for dementia patients to minimize their visit to the hospitals. Physicians and caregivers should also be engaged in close monitoring of dementia patients with suspected COVID-19, for early diagnosis and treatment to avoid mortality from infections. The hospitals can provide a Special Care Geriatric COVID-19 units for dementia and elderly patients who contract with COVID-19, which is filled with a team of mental health professionals (doctors, nurses, and psychological counselors), to give better care, more strict monitoring, and enable the healthcare providers in that units to focus only on the management of dementia patients so that the morbidity and mortality from COVID-19 can be reduced. Finally, dementia should be regarded as an important factor in future risk stratification models for COVID-19.

The limitation of this study is that the presence of confounding factors, such as patients' nutritional status and daily medication, that can affect the relationship between dementia and mortality from COVID-19 should still be considered. Moreover, this study only includes a small number of patients due to most studies still did not consider dementia as an important comorbidity in COVID-19 patients. However, with this study, we hope that dementia can further be considered as important factor and comorbidity in COVID-19 patients. 

Conflict of interest The authors declare that they have no conflict of interest. [4] 103 Retrospective cohort 77 (75%) 64.6 ± 15.8 26 (25%) 76.5 ± 9.2 Wan et al. [5] 30 Retrospective cohort 25 (83.3%) 62.7 ± 13.6 5 (16.7%) 66.8 ± 5.1 Yan et al. [6] 52 Retrospective cohort 20 (38.4%) 51.9 ± 12.9 32 (61.6%) 64.6 ± 11.2

Forest plot that demonstrates the association of dementia with mortality from COVID-19 disease

Pneumonia-associated death in patients with dementia: a systematic review and meta-analysis

Clinical presentation of COVID19 in dementia patients

Clinical characteristics and prognostic factors in COVID-19 patients aged ≥80 years

Neurological diseases as mortality predictive factors for patients with COVID-19: a retrospective cohort study

Prognosis analysis of patients with mental disorders with COVID-19: a single-center retrospective study

Clinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia in Wuhan, China: a single-centered, retrospective, observational study

Coronavirus disease 2019 in geriatrics and long-term care: the ABCDs of COVID -19

COVID-19) infection: a systematic review and meta-analysis of observational studies

ApoE e2 and aging-related outcomes in 379,000 UK Biobank participants

APOE e4 genotype predicts severe COVID-19 in the UK Biobank community cohort