Literature DB >> 33838684

COVID-19 in adults with dementia: clinical features and risk factors of mortality-a clinical cohort study on 125 patients.

Agathe Vrillon1,2,3, Elsa Mhanna4, Clément Aveneau5,6, Manon Lebozec7, Lina Grosset6,8, Diane Nankam4, Fernanda Albuquerque4, Raphaelle Razou Feroldi4, Barbara Maakaroun4, Iana Pissareva4, Dalenda Cherni Gherissi4, Julien Azuar5,8,9, Véronique François10, Claire Hourrègue6,8, Julien Dumurgier6,8, Lisette Volpe-Gillot4, Claire Paquet5,6.   

Abstract

BACKGROUND: There is limited evidence on the characteristics and outcome of patients with dementia hospitalised for novel coronavirus infection (COVID-19).
METHOD: We conducted a prospective study in 2 gerontologic COVID units in Paris, France, from March 14, 2020, to May 7, 2020. Patients with dementia hospitalised for confirmed COVID-19 infection were systematically enrolled. A binary logistic regression analysis was performed to identify factors associated with mortality at 21 days.
RESULTS: We included 125 patients. Median age was 86 (IQI 82-90); 59.4% were female. Most common causes of dementia were Alzheimer's disease, mixed dementia and vascular dementia. 67.2% had ≥ 2 comorbidities; 40.2% lived in a long-term care facility. The most common symptoms at COVID-19 onset were confusion and delirium (82.4%), asthenia (76.8%) and fever (72.8%) before polypnea (51.2%) and desaturation (50.4%). Falls were frequent at the initial phase of the disease (35.2%). The fatality rate at 21 days was 22.4%. Chronic kidney disease and CRP at admission were independent factors of death. Persisting confusion, mood and behavioural disorders were observed in survivors (19.2%).
CONCLUSION: COVID-19 in demented individuals is associated with severe outcome in SARS-CoV-2 infection and is characterised by specific clinical features and complications, with confusion and delirium at the forefront. COVID-19 testing should be considered in front of any significant change from baseline.

Entities:  

Keywords:  COVID-19; Dementia; Mortality; Prognostic factors; SARS-CoV-2

Year:  2021        PMID: 33838684      PMCID: PMC8035874          DOI: 10.1186/s13195-021-00820-9

Source DB:  PubMed          Journal:  Alzheimers Res Ther            Impact factor:   6.982


Introduction

On January 30, 2020, the World Health Organization (WHO) drew attention to a new coronavirus disease 2019 (COVID-19), declaring it a public health emergency of international concern. As of February 4, 2021, there had been more than 100 million of cases and 2 million deaths worldwide. The clinical spectrum of COVID-19 infection appears broad, encompassing asymptomatic infections, mild upper respiratory tract illness and severe pneumonia with respiratory failure, systemic complications and multi-organ failure [1]. Severe COVID-19 affects elderly with chronic diseases, including cognitive decline, in high proportion compared to the general adult population [2, 3]. According to recent studies, dementia is a major risk factor for COVID-19 severity [4, 5]. Concomitantly, the risk of exposure to the infection is more important in patients with dementia, highly exposed in the context of long-term care facilities, frequent hospitalizations and intellectual decline. So far, specific clinical features and prognostic factors of COVID-19 in demented patients remain unclear [6, 7]. In order to identify specific features and risk factor of death in demented people, we report a cohort study on 125 patients with dementia hospitalised for a confirmed COVID-19 infection.

Methods

Study design

This prospective cohort study systematically included patients over 65 with dementia hospitalised for COVID-19 infection in two centres: GHU APHP Nord Hôpital Lariboisière Fernand Widal Université de Paris and Leopold Bellan Hospital, Paris, between March 14 and May 7, 2020. The definite diagnosis of COVID-19 was determined through reverse-transcription polymerase chain reaction (RT-PCR) testing of pharyngeal swabs or chest CT. We collected demographics, medical history, clinical presentation, laboratory results, treatment, complications and outcome. The outcome was death at 21 days, to assess short-term case fatality rate. Follow-up period was determined upon the reported length of disease to death in the literature [8], median delay of evolution to ARDS, described delay of viral shedding in survivors [3] and mean duration of patient’s hospitalisation [2]. Dementia was defined according to the American Psychiatric Association’s Diagnostic and Statistical Manual (DSM-5) as a significant cognitive decline from a previous level of performance in one or more cognitive domains interfering with independence in everyday activities [9]. Aetiology of the dementia was collected when available. Comorbidities were evaluated using the Charlson Index [10]. Blood oxygen desaturation was defined by a saturation under 93% or a loss of 3% or more. Acute kidney injury was diagnosed according to KDIGO definition [11]. Cardiac injury was diagnosed clinically or throughout abnormalities observed on electrocardiography and serum level of troponin and Brain natriuretic Peptide (BNP). COVID-19 severity and acute respiratory distress syndrome were defined following the WHO recommendations. Transfer in intensive care unit (ICU) in case of clinical deterioration was discussed at admission with the physician in charge, ICU doctors, palliative care team and patients and caregivers, and the decision of a potential transfer was documented in the patient written file.

Statistical analysis

Descriptive data are shown as median (interquartile interval) or percentage (number of subjects). Chi-square test or Fisher’s test was used to compare qualitative data between groups. Mann-Whitney test and Kruskal-Wallis were applied to analyse non-normally distributed data. A binary logistic regression analysis was performed to identify clinical and demographic characteristics associated with mortality. We included the variables that had differed in descriptive analysis between survivors and non-survivors. Variables with missing data were excluded from this analysis. A two-tailed p value < 0.05 was considered significant. Statistical analysis was performed using GraphPad Prism and SPSS 85 Statistics version 26.0. Ethical statement: we obtained the required approval from the Commission Nationale Informatique et Liberté (CNIL) to collect anonymised data.

Results

We included a total of 125 patients. Patients’ demographic and clinical characteristics are summarised in Table 1. The median age was 86 (82–91) years, and 41.6% of included subjects were male. All patients had a clinical diagnosis of dementia. 40% of the patients had received a specific diagnosis: most frequent causes of dementia were Alzheimer’s disease (AD) (10.4%), vascular dementia (7.2%), and multiple aetiologies dementia (7.2%). Parkinson’s disease and atypical parkinsonian syndromes, fronto-temporal dementia, alcohol-related cognitive impairment and psychosis accounted for other diagnoses. The other patients (60%) presented with unexplored major cognitive impairment. Patients frequently presented with associated mood disorder (31.2%) and psychotic symptoms (12%). A stroke history was noted in 32% of patients. A former history of fall was reported for 38.4% of patients. Sixty per cent of patients received psychotropic treatment: antidepressants/mood regulators (35.2%), anxiolytic (30.4%) and neuroleptics (12.0%). Most patients were living at home (59.2%) while 40.8% were living in a long-term care facility.
Table 1

Characteristics of included patients

Total (n = 125)Survivors (n = 97)Non-survivors (n = 28)p
Age86 (82–91)87 (82–91)86 (82–93)0.815
Male sex41.6% (52)36.1% (35)60.7% (17)0.029
Admission from:0.663
 Home59.2% (74)57.7% (56)64.3% (18)
 Long-term care facility40.8% (51)42.3% (41)35.7% (10)
Medical history
 Comorbidities91.2% (114)91.8% (89)89.3% (25)0.709
 > 2 Comorbidities67.2% (84)67.0% (65)67.9% (19)0.822
 Charlson Comorbidity Index6 (5–7)6 (5–7)6 (5–7)0.292
Neurological status
Etiologies of dementia
  Unspecified cognitive impairment60.0% (75)59.8% (58)60.7% (17)1.000
  Diagnosed dementia40.0% (50)40.2% (39)39.3% (11)1.000
  Alzheimer’s disease10.4% (13)11.3% (11)7.1% (2)0.731
  Vascular dementia7.2% (9)6.2% (6)10.7% (3)0.418
  Other causes of dementia7.2% (9)5.2% (5)14.3% (4)0.113
  Parkinson disease, parkinsonian syndromes9.6% (12)10.3% (10)7.1% (2)1.000
  Psychosis3.2% (4)4.1% (4)0.0% (0)1.000
  Alcohol-related dementia2.4% (3)3.1% (3)0.0% (0)1.000
Neurological symptoms and history
  Mood disorder31.2% (39)33.0% (32)25.0% (7)0.640
  Psychotic symptoms12.0% (15)12.4% (12)10.7% (3)1.000
  History of stroke32.0% (40)32.0% (31)32.1% (9)1.000
  History of fall38.4% (48)36.1% (35)46.4% (13)0.373
  Walking before admission70.4% (88)70.1% (68)71.4% (20)1.00
  Psychotropic treatment60.0% (75)60.8% (59)57.1% (16)0.826
  Anxiolytic30.4% (38)32.0% (31)25.0% (7)0.642
  Antidepressant, mood regulator35.2% (44)35.1% (34)35.7% (10)1.000
  Neuroleptics12.0% (15)11.3% (11)14.3% (4)0.742
Non-neurological comorbidities
 Cardiovascular disease40.8% (51)38.1% (37)50.0% (14)0.383
 Arterial hypertension80.0% (100)79.4% (77)82.1% (23)1.00
 Hypercholesterolaemia48.8% (61)46.4% (45)57.1% (16)0.392
 Atrial fibrillation24.8% (31)24.7% (24)25.0% (7)1.00
 Coronaropathy16.0% (20)14.4% (14)21.4% (6)0.388
 Cardiac insufficiency24.0% (30)25.8% (25)17.9% (5)0.460
 Thrombosis9.6% (12)11.3% (11)3.6% (1)0.296
 COPD8.8% (11)6.2% (6)17.9% (5)0.068
 Respiratory insufficiency3.2% (4)3.1% (3)3.6% (1)1.000
 Diabetes16.8% (21)15.5% (15)21.4% (6)0.566
 Malnutrition33.6% (42)37.1% (36)21.4% (6)0.172
 Malignancy9.6% (12)11.3% (11)3.6% (1)0.296
 Chronic liver disease1.6% (2)2.1% (2)0.0% (0)1.000
 Chronic renal disease16.0% (20)11.3% (11)32.1% (9)0.017

Data are median (IQI), % (n). P values > 0.05 (bold) indicates significant differences between survivors and non-survivors

*Other causes of dementia: included mixed dementia (AD and vascular dementia, n = 7), fronto-temporal dementia (n = 1) and vascular dementia and alcohol-related dementia (respectively, n = 1)

COPD chronic obstructive pulmonary disease

Characteristics of included patients Data are median (IQI), % (n). P values > 0.05 (bold) indicates significant differences between survivors and non-survivors *Other causes of dementia: included mixed dementia (AD and vascular dementia, n = 7), fronto-temporal dementia (n = 1) and vascular dementia and alcohol-related dementia (respectively, n = 1) COPD chronic obstructive pulmonary disease Non-neurological comorbidities were frequent (91.2%) with 67.2% of patients with 3 or more comorbidities. Median Charlson comorbidities index was 6 (5–7). Most frequent comorbidities were hypertension (80%), dyslipidaemia (48.8%) and history of cardiovascular disease (40.8%).

Clinical presentation and biological findings

Infection was confirmed in 93.2% of patients by PCR test and in 6.8% by chest CT (Table 2). The most common initial symptoms were confusion and delirium observed in 82.4% of patients. It was notably the only symptom at onset and during the evolution of the disease for three patients in our cohort, thus COVID-19 infection was screened for considering the pandemic context. The most frequent associated general symptoms were asthenia (76.8%), fever (72.8%) and anorexia (56.8%). Most frequent respiratory symptoms were polypnea (51.2%), desaturation (50.4%) and cough (49.6%). An initial fall was reported in 35.2%. No patient complained of loss of taste or smell.
Table 2

COVID clinical symptoms and laboratory results

Symptoms at admissionTotal (n = 125)Survivors (n = 97)Non-survivors (n = 28)P
Fever72.8% (91)71.1% (69)78.6% (22)0.482
Cough49.6% (62)51.5% (50)42.9% (12)0.521
Expectorations21.6% (27)18.6% (18)32.1% (9)0.190
Polypnea51.2% (64)42.3% (41)82.1% (23)< 0.0001
Desaturation50.4% (63)43.3% (42)75.0% (21)0.002
Minimum saturation90 (88–92)90 (88–92)90 (88–91)0.167
Digestive symptoms16.8% (21)18.6% (18)10.7% (3)0.400
Asthenia76.8% (96)72.2% (70)92.9% (26)0.023
Myalgia15.2% (19)15.5% (15)14.3% (4)1.000
Anorexia56.8% (71)53.6% (52)67.9% (19)0.201
Headache4.0% (5)4.1% (4)3.6% (1)0.688
Confusion, delirium82.4% (103)81.4% (79)85.7% (24)0.780
Initial fall35.2% (44)33.0% (32)42.9% (12)0.373
Laboratory findings
 Haemoglobin, g/dL12.1 (10.9–13.08)12.2 (10.9–13.3)11.6 (10.3–12.7)0.152
 Lymphocytes count (mm3)0.99 (0.73–1.29)1.0 (0.8–1.3)0.9 (0.6–1.2)0.032
 Lymphopaenia, %84.8% (106)85.6% (83)82.1% (23)0.544
 White blood cell count (mm3)5.8 (3.9–7.9)5.4 (3.9–7.1)6.2 (4.1–8.7)0.070
 Platelets count (mm3)207 (164.3–265)210 (170–261)202 (150–283)0.995
 Thrombopaenia, %16.0% (20)13.4% (13)25.0% (7)0.146
 Initial C-reactive protein, mg/dL30.85 (8.75–84.75)25.8 (8.0–64.5)76.0 (33.0–44.0)< 0.0001
 Initial creatinine, μmol/L78 (64–103.8)74.0 (63.5–94.0)127.0 (70.0–159.0)0.003
 Aspartate aminotransferase, U/L36 (24–54)35 (24–53)46 (32–61)0.053
 Alanine aminotransferase, U/L18 (13–31)17.00 (13.00–31.00)23.50 (12.75–34.75)0.438
 Albumin, g/L30 (26–34)30.8 (27–34)28.5 (23–33)0.088
 Troponin positivity, %#35.5% (22)30.4% (14)50.0% (8)0.032

Data are presented as median (IQI), % (n). P values > 0.05 (bold) indicates significant differences between survivors and non-survivors. #Troponin was available for 62 subjects

COVID clinical symptoms and laboratory results Data are presented as median (IQI), % (n). P values > 0.05 (bold) indicates significant differences between survivors and non-survivors. #Troponin was available for 62 subjects The most common biochemical abnormality was lymphopaenia (84.8%) with a median value of lymphocytes of 0.99 (0.73–1.29), increased CRP at admission and low albumin. Thrombopaenia was observed in 16% of cases. Troponin was available for 22 patients and increased in 35.5% of patients.

Treatment and outcome

Treatment and outcome are reported in Table 3. Persisting behavioural disorders during hospitalisation were observed in 19.2% of subjects. Other neurological complications included strokes (2.4%, 3 patients) and seizures (2.4%, 3 patients). Treatment mostly associated oxygen therapy (60%) and antibiotics (61.6%). A minority of patients received specific treatment for COVID-19 (hydroxychloroquine 16.8% and corticosteroids 8.0%). Acute respiratory distress syndrome (ARDS) occurred in 25.6% of patients. Associated complications were bacterial superinfection (19.2%), acute kidney injury (16.8%), cardiac failure (13.6%) and diabetic acidoketosis (2.4%). Treatment by neuroleptics or antidepressant was not associated to outcome.
Table 3

Treatment, complications and outcome

Total (n = 125)Survivors (n = 97)Non-survivors (n = 28)P
Covid severity*0.001
 Mild37.6% (47)48.5% (47)0.0% (0)
 Moderate27.2% (34)35.0% (34)0.0% (0)
 Severe35.2% (44)16.5% (16)100% (28)
 Treatment
Oxygen therapy60.0% (75)50.5% (49)92.9% (26)< 0.0001
Maximal flow (L/min)3.0 (2.0–6.0)3.0 (2.0–6.0)5.0 (2.5–15.0)0.018
Antibiotics use61.6% (77)57.7% (56)75.0% (21)0.074
Combination of antibiotics33.6% (42)29.9% (29)46.4% (13)0.082
Beta-lactamine54.4% (68)50.5% (49)67.9% (19)0.079
 Macrolides37.6% (47)35.1% (34)46.4% (13)0.279
2nd line antibiotics17.6% (22)14.4% (14)28.6% (8)0.096
 Steroids8.0% (10)8.2% (8)7.1% (2)1.000
Hydroxychloroquine16.8% (21)16.5% (16)17.9% (5)1.000
 Neuroleptics4.8% (6)5.2% (5)3.6% (1)0.678
Complications
 ARDS25.6% (32)6.2% (6)92.9% (26)< 0.0001
Cardiac injury13.6% (17)9.3% (9)28.6% (8)0.024
 ACKI16.8% (21)12.4% (12)32.1% (9)0.021
Bacterial superinfection14.4% (18)11.3% (11)25.0% (7)0.122
Behavioural disorder19.2% (24)21.6% (21)10.7% (3)0.278
Diabetic ketoacidosis2.4% (3)3.1% (3)0.0% (0)1.000
 Seizure2.4% (3)2.1% (2)3.6% (1)0.536
 Stroke2.4% (3)2.1% (2)3.6% (1)1.000
 OutcomeTotal (n=125)Survivors (n=97)Non-survivors (n=28)
Total mortality22.4% (28)
Delay admission-death8.5 (3.7–16)
Length of stay16 (11–19.7)
Discharge home before end of follow-up40.2% (39)

Data are median (IQI), % (n). P values > 0.05 (bold) indicates significant differences between survivors and non-survivors

*COVID severity defined according to WHO guidelines

ACKI acute kidney injury, ARDS acute respiratory distress syndrome

Treatment, complications and outcome Data are median (IQI), % (n). P values > 0.05 (bold) indicates significant differences between survivors and non-survivors *COVID severity defined according to WHO guidelines ACKI acute kidney injury, ARDS acute respiratory distress syndrome Mortality at 21 days was 22.4%. The large majority of deaths (92.9%) was attributed to ARDS. Cardiac failure and osmolar coma were associated causes of death. Non-survivors were overrepresented in men (60.7% versus 36.1% in survivors, P = 0.029), presenting more frequent chronic kidney disease. Respiratory distress, lower lymphocytes count, high CRP and positive troponin were more frequent in non-survivors. No statistically significant difference was observed in the rate of death between patients with a diagnosed neurodegenerative disorder compared to the patients with unexplored cognitive impairment (P = 1.000) or in those living in long-term facilities (P = 0.663). Male sex, chronic kidney disease, desaturation, dyspnoea as well as lymphocytes count, CRP and serum creatinine at admission were included in a multivariate binary logistic regression model to identify associated factors of death (Table 4). Two variables were independently associated to death at 21 days: CRP at admission (OR = 1.013, P = 0.004) and chronic kidney disease (OR = 4.631, P = 0.025).
Table 4

Predictive factors of mortality at 21 days of diagnosis

Exp(B)95% CI for EXP(B)P
LowerUpper
Male sex1.1200.3793.3100.838
Chronic renal disease4.6311.21517.6490.025
Desaturation1.8790.4188.4520.411
Dyspnoea2.1000.4529.7650.344
Lymphocytes1.0960.6491.8520.732
Creatinine0.9990.9921.0070.850
CRP1.0131.0041.0210.004

Multivariate binary logistic regression for identifying predictive factors of outcome. Troponin was excluded of the analysis due to missing data. P < 0.05 indicates significance (bold)

95% CI 95% confidence interval, CRP C-reactive protein

Predictive factors of mortality at 21 days of diagnosis Multivariate binary logistic regression for identifying predictive factors of outcome. Troponin was excluded of the analysis due to missing data. P < 0.05 indicates significance (bold) 95% CI 95% confidence interval, CRP C-reactive protein

Discussion

In this study, we aimed at describing specific clinical features and prognostic factors of mortality in demented patients. Confusion with or without general symptoms is the most frequent initial presentation and was not a predictive factor of death while history of chronic kidney disease and CRP level at admission were significantly associated with mortality. Studies focusing on the neurological features of COVID-19 suggest that confusion occurred in 20–30% of hospitalised patients increasing to 60–70% in severe forms [12, 13]. Older adults are more prone to experiencing confusion and delirium and dementia is the higher predisposing risk factor (OR from 2.3–4.7), before age, visual and hearing impairment and polypharmacy [14, 15]. Several series and cases reports highlight COVID-19 infection presenting as isolated and persistent confusion [16-19] and as a factor of negative outcome [20]. In our series, confusion and delirium occurred independently of the severity of the COVID-19 infection and did not appear as a factor of negative outcome. The discrepancy between all these results could be explained by the high prevalence of confusion in our cohort that might have not allowed to study his weight on prognosis. Overall, the prevalence of confusion and delirium was higher than the one reported in older adults admitted with non-COVID-19 pneumonia [21, 22] and in patients admitted with severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS) [23]. The pathophysiological explanations remain unclear. COVID-19 could have a direct neuronal toxicity through CNS invasion [24]. Cognitive symptoms could also indirectly be related to neuroinflammation, corresponding to “sickness behaviour” to which demented subjects have been shown to present with increased vulnerability [25]. An increase of neurofilaments lights and glial fibrillary acid protein, respectively reflecting neuronal injury and glial activation, has been observed in patients with moderate and severe COVID-19 with or without dementia [26]. The neuronal and synaptic fragility in demented patients may be particularly prone to injury induced by COVID-19, either through direct infectious lesion or through indirect inflammatory mechanisms. Another frequently reported neurologic symptom in our series is falls, as already reported [5, 27]. General risk of fall is high in demented older adults; gait impairment and falls are more prevalent in dementia than in normal ageing and are related to the severity of cognitive impairment [28]. Rupture of homeostasis in the context of viral infection would account for their frequent occurrence [29]. Besides confusion, delirium and falls, a broad range of neurological complications, caused directly or indirectly by the virus, including infectious, para-infectious, and post-infectious encephalitis, stroke related to coagulopathy, and acute neuropathies have been reported [30]. Stroke and seizure were observed during disease evolution for respectively 3 of our patients, at a similar rate as the one observed in cases of a cohort of around 5000 subjects [31]. No patient reported olfactory or gustatory symptom in our cohort. Previous olfactory dysfunction could partially account for this finding as hypo- and anosmia are associated to alpha-synucleinopathies and more generally to cognitive decline in older adults [32]. Moreover, studies on COVID-19 have reported a lower prevalence of olfactory and gustatory symptoms in older patients and severe forms of the disease [33, 34]. Case fatality rate at 21 days was 22.4%, in line with previous findings in large cohorts [2, 5]. A study by Canavelli et al. [35] evaluating the prevalence of dementia in a random sample of confirmed COVID-19-infected patients, found that patients with dementia accounted for 15.8% of overall COVID-19-related death. In a meta-analysis, the mortality of individuals with dementia was increased compared to subjects with no cognitive impairment (OR = 5.17) [36]. More specifically, Matias-Giu et al. have shown that AD patients showed a higher risk of death in COVID-19 than patients with fronto-temporal dementia. One explanation could be that the APOE e4 genotype (the highest risk factor for AD) has been reported as a predictive factor of severe COVID-19 [20] and death [21]. In our series, we did not find any difference between patients with a diagnosed dementia (AD, vascular dementia, alcohol-related cognitive impairment) and patients with unexplored cognitive impairment. History of chronic kidney disease and high CRP at admission were independently associated with death. Our overall data are in accordance with previous reports in which male sex, multiple comorbidities, elevated CRP and low lymphocyte count were observed in the majority of COVID-19 deaths [3, 37]. None of our patients who underwent ARDS was deemed suitable candidate for ICU or invasive ventilation in regard to clinical status after multidisciplinary decision. Patients received variable treatment, associating antibiotics, rarely antiviral treatment, high flow oxygen and corticosteroids or immunomodulatory drugs for a small number. The fast-changing evidence regarding treatment of COVID 19, the variability of comorbidities and frequent contraindications can explain the variability in treatment reported in the cohort. Given the size of our cohort, we were not able to assess the efficiency or draw any recommendation. Therapeutic essays have been ongoing regarding the potential beneficial effect of serotonin reuptake inhibitor (SSRI) through modulation inflammatory response during sepsis [38]; no difference in outcome was observed regarding treatment by antidepressants in our cohort. All in all, in the actual context of a second wave of COVID-19, this work demonstrates that special attention should be given to demented patients who manifest confusion with acute behavioural changes and falls, with or without asthenia, fever and lymphopaenia.

Limitations

This study has several limitations. Our studied population was drawn from geriatric hospitalised samples of demented patients in need of hospital care, limiting its generalisation. Patients presenting with atypical symptoms and lacking respiratory symptoms or fever may not have been identified as COVID cases and included in our analysis. Due to low group numbers, we could not assess the difference in severity and mortality between the different etiologies of dementia and no patient of our cohort was admitted in ICU. We did not dispose of a control group of older adults without cognitive impairment. Also, we focused on short-term mortality; mid- and long-term follow-up could allow us to identify additional prognostic factors.

Conclusion

In our cohort of individuals with dementia, we have observed that COVID-19 was characterised by atypical presentation with prevalent nonspecific symptoms at the initial phase of the disease, namely persisting confusion and behavioural disorders as well as frequent falls. Early recognition of COVID-19 in demented adults should help provide early treatment and adequate care and isolation and COVID-19 testing should be considered in front of any significant change from baseline.
  29 in total

1.  Presenting Characteristics, Comorbidities, and Outcomes Among 5700 Patients Hospitalized With COVID-19 in the New York City Area.

Authors:  Safiya Richardson; Jamie S Hirsch; Mangala Narasimhan; James M Crawford; Thomas McGinn; Karina W Davidson; Douglas P Barnaby; Lance B Becker; John D Chelico; Stuart L Cohen; Jennifer Cookingham; Kevin Coppa; Michael A Diefenbach; Andrew J Dominello; Joan Duer-Hefele; Louise Falzon; Jordan Gitlin; Negin Hajizadeh; Tiffany G Harvin; David A Hirschwerk; Eun Ji Kim; Zachary M Kozel; Lyndonna M Marrast; Jazmin N Mogavero; Gabrielle A Osorio; Michael Qiu; Theodoros P Zanos
Journal:  JAMA       Date:  2020-05-26       Impact factor: 56.272

2.  KDIGO clinical practice guidelines for acute kidney injury.

Authors:  Arif Khwaja
Journal:  Nephron Clin Pract       Date:  2012-08-07

3.  A new method of classifying prognostic comorbidity in longitudinal studies: development and validation.

Authors:  M E Charlson; P Pompei; K L Ales; C R MacKenzie
Journal:  J Chronic Dis       Date:  1987

4.  Cognitive Impairment Is a Common Comorbidity in Deceased COVID-19 Patients: A Hospital-Based Retrospective Cohort Study.

Authors:  Paloma Martín-Jiménez; Mariana I Muñoz-García; David Seoane; Lucas Roca-Rodríguez; Ana García-Reyne; Antonio Lalueza; Guillermo Maestro; Dolores Folgueira; Víctor A Blanco-Palmero; Alejandro Herrero-San Martín; Sara Llamas-Velasco; David A Pérez-Martínez; Marta González-Sánchez; Alberto Villarejo-Galende
Journal:  J Alzheimers Dis       Date:  2020       Impact factor: 4.472

5.  Death Rate Due to COVID-19 in Alzheimer's Disease and Frontotemporal Dementia.

Authors:  Jordi A Matias-Guiu; Vanesa Pytel; Jorge Matías-Guiu
Journal:  J Alzheimers Dis       Date:  2020       Impact factor: 4.472

6.  Radial keratotomy in non-human primate eyes.

Authors:  J V Jester; D Steel; J Salz; J Miyashiro; L Rife; D J Schanzlin; R E Smith
Journal:  Am J Ophthalmol       Date:  1981-08       Impact factor: 5.258

7.  Preexisting Comorbidities Predicting COVID-19 and Mortality in the UK Biobank Community Cohort.

Authors:  Janice L Atkins; Jane A H Masoli; Joao Delgado; Luke C Pilling; Chia-Ling Kuo; George A Kuchel; David Melzer
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2020-10-15       Impact factor: 6.053

8.  Case characteristics, resource use, and outcomes of 10 021 patients with COVID-19 admitted to 920 German hospitals: an observational study.

Authors:  Christian Karagiannidis; Carina Mostert; Corinna Hentschker; Thomas Voshaar; Jürgen Malzahn; Gerhard Schillinger; Jürgen Klauber; Uwe Janssens; Gernot Marx; Steffen Weber-Carstens; Stefan Kluge; Michael Pfeifer; Linus Grabenhenrich; Tobias Welte; Reinhard Busse
Journal:  Lancet Respir Med       Date:  2020-07-28       Impact factor: 30.700

9.  Neurologic Features in Severe SARS-CoV-2 Infection.

Authors:  Julie Helms; Stéphane Kremer; Hamid Merdji; Raphaël Clere-Jehl; Malika Schenck; Christine Kummerlen; Olivier Collange; Clotilde Boulay; Samira Fafi-Kremer; Mickaël Ohana; Mathieu Anheim; Ferhat Meziani
Journal:  N Engl J Med       Date:  2020-04-15       Impact factor: 91.245

10.  Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China: Summary of a Report of 72 314 Cases From the Chinese Center for Disease Control and Prevention.

Authors:  Zunyou Wu; Jennifer M McGoogan
Journal:  JAMA       Date:  2020-04-07       Impact factor: 56.272

View more
  10 in total

1.  Incidence and Outcomes of SARS-CoV-2 Infection in Older Adults Living with Dementia: A Population-Based Cohort Study.

Authors:  Silvia Cascini; Nera Agabiti; Claudia Marino; Anna Acampora; Maria Balducci; Enrico Calandrini; Marina Davoli; Anna Maria Bargagli
Journal:  J Alzheimers Dis       Date:  2022       Impact factor: 4.160

Review 2.  Heterogeneity and Risk of Bias in Studies Examining Risk Factors for Severe Illness and Death in COVID-19: A Systematic Review and Meta-Analysis.

Authors:  Abraham Degarege; Zaeema Naveed; Josiane Kabayundo; David Brett-Major
Journal:  Pathogens       Date:  2022-05-10

Review 3.  Animal models for COVID-19: advances, gaps and perspectives.

Authors:  Changfa Fan; Yong Wu; Xiong Rui; Yuansong Yang; Chen Ling; Susu Liu; Shunan Liu; Youchun Wang
Journal:  Signal Transduct Target Ther       Date:  2022-07-07

4.  SARS-CoV-2, the Angiotensin Converting Enzyme 2 (ACE2) Receptor and Alzheimer's disease.

Authors:  Walter J Lukiw
Journal:  J Alzheimers Dis Parkinsonism       Date:  2021-05-10

Review 5.  Parkinson's Disease and SARS-CoV-2 Infection: Particularities of Molecular and Cellular Mechanisms Regarding Pathogenesis and Treatment.

Authors:  Aurelian Anghelescu; Gelu Onose; Cristina Popescu; Mihai Băilă; Simona Isabelle Stoica; Ruxandra Postoiu; Elena Brumă; Irina Raluca Petcu; Vlad Ciobanu; Constantin Munteanu
Journal:  Biomedicines       Date:  2022-04-26

Review 6.  One-Year Report of COVID-19 Impact on Geriatric Patients: a Bio-Psycho-Social Approach.

Authors:  Allen Y Chang; Kimberly N Babb
Journal:  Can Geriatr J       Date:  2022-06-01

7.  COVID-19 Case Fatality and Alzheimer's Disease.

Authors:  Qiang Zhang; Jordan L Schultz; Georgina M Aldridge; Jacob E Simmering; Youngcho Kim; Amy C Ogilvie; Nandakumar S Narayanan
Journal:  J Alzheimers Dis       Date:  2021       Impact factor: 4.160

8.  Baseline clinical features of COVID-19 patients, delay of hospital admission and clinical outcome: A complex relationship.

Authors:  Cédric Dananché; Christelle Elias; Laetitia Hénaff; Sélilah Amour; Elisabetta Kuczewski; Marie-Paule Gustin; Vanessa Escuret; Mitra Saadatian-Elahi; Philippe Vanhems
Journal:  PLoS One       Date:  2022-01-07       Impact factor: 3.240

9.  The Neuropsychiatric Changes After COVID-19 Quarantine in Patients With Cognitive Impairment and Their Caregivers in Chongqing, China: A Cohort Study.

Authors:  Shiyun Yuan; Wenbo Zhang; Qiang Yao; Wenqi Lü; Wuhan Yu; Fuxin Zhong; Yan Wang; Dianxia Xing; Xiaoqin Wang; Jiaqi Song; Hong Huang; Chenxi Chen; Junjin Liu; Weihua Yu; Yang Lü
Journal:  Front Aging Neurosci       Date:  2022-02-10       Impact factor: 5.750

Review 10.  Can SARS-CoV-2 Infection Lead to Neurodegeneration and Parkinson's Disease?

Authors:  Lea Krey; Meret Koroni Huber; Günter U Höglinger; Florian Wegner
Journal:  Brain Sci       Date:  2021-12-18
  10 in total

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