| Literature DB >> 35868675 |
Alessandra Lauria1, Angelo Carfì2, Francesca Benvenuto1, Giulia Bramato1, Francesca Ciciarello1, Sara Rocchi1, Elisabetta Rota1, Andrea Salerno1, Leonardo Stella1, Marcello Tritto1, Antonella Di Paola1, Cristina Pais1, Matteo Tosato1, Delfina Janiri1, Gabriele Sani1, Francesco Cosimo Pagano1, Massimo Fantoni1, Roberto Bernabei1, Francesco Landi1, Alessandra Bizzarro1.
Abstract
Coronavirus disease 2019 is known to impact older people more severely and to cause persistent symptoms during the recovery phase, including cognitive and neurologic ones. We investigated the cognitive and neurologic features of 100 elderly patients with confirmed diagnosis of coronavirus disease 2019 evaluated in the postacute phase through a direct neuropsychological evaluation consisting on Mini Mental State Examination and 8 neuropsychological tests. Overall, a total of 33 participants were found to perform at a level considered to be pathologic; more specifically, 33%, 23%, and 20% failed on Trial Making, Digit Span Backwards, and Frontal Evaluation Battery tests, respectively.Entities:
Keywords: Cognitive impairment; Elderly; Long COVID
Mesh:
Year: 2022 PMID: 35868675 PMCID: PMC9080120 DOI: 10.1016/j.cger.2022.05.003
Source DB: PubMed Journal: Clin Geriatr Med ISSN: 0749-0690 Impact factor: 3.529
Sample characteristics
| Total | Males | Females | ||
|---|---|---|---|---|
| n = 100 | n = 65 | n = 35 | ||
| General information | ||||
| Age (years) | 73.4 (6.1) | 73.4 (5.8) | 73.5 (6.7) | 0.957 |
| Females | 35 (35%) | |||
| BMI (kg/m2) | 26.1 (3.9) | 26.2 (3.7) | 25.9 (4.1) | 0.695 |
| Education (years) | 12.7 (8.7) | 13.0 (5.5) | 12.2 (12.7) | 0.678 |
| Not employed | 80 (80%) | 51 (78.5%) | 29 (82.9%) | 0.793 |
| Flu vaccination | 53 (53%) | 40 (61.5%) | 13 (37.1%) | 0.046 |
| Antipneumococcal vaccination | 21 (21%) | 17 (26.2%) | 4 (11.4%) | 0.16 |
| Regular physical activity | 60 (60%) | 37 (56.9%) | 23 (65.7%) | 0.784 |
| Smoking status | 0.115 | |||
| Nonsmoker | 37 (37%) | 20 (30.8%) | 17 (48.6%) | |
| Active smoker | 6 (6%) | 5 (7.7%) | 1 (2.9%) | |
| Former smoker | 52 (52%) | 38 (58.5%) | 14 (40%) | |
| Unknown | 5 (5%) | 2 (3.1%) | 3 (8.6%) | |
| Pre-COVID clinical features | ||||
| Cardiovascular conditions | 69 (69%) | 49 (75.4%) | 20 (57.1%) | 0.098 |
| Chronic heart disease | 19 (19%) | 16 (24.6%) | 3 (8.6%) | 0.092 |
| Atrial fibrillation | 12 (12%) | 7 (10.8%) | 5 (14.3%) | 0.847 |
| Heart failure | 8 (8%) | 6 (9.2%) | 2 (5.7%) | 0.817 |
| Stroke | 2 (2%) | 0 (0%) | 2 (5.7%) | 0.231 |
| Hypertension | 58 (58%) | 41 (63.1%) | 17 (48.6%) | 0.234 |
| Diabetes mellitus | 19 (19%) | 17 (26.2%) | 2 (5.7%) | 0.027 |
| Renal failure | 9 (9%) | 6 (9.2%) | 3 (8.6%) | 1 |
| Thyroid disease | 24 (24%) | 9 (13.8%) | 15 (42.9%) | 0.003 |
| COPD | 22 (22%) | 15 (23.1%) | 7 (20%) | 0.919 |
| Active cancer | 7 (7%) | 4 (6.2%) | 3 (8.6%) | 0.967 |
| Immune disease | 8 (8%) | 3 (4.6%) | 5 (14.3%) | 0.189 |
| COVID-19 events | ||||
| | 0.092 | |||
| 2. Not hospitalized | 12 (12%) | 5 (7.7%) | 7 (20%) | |
| 3. Hospitalized, not requiring O2 | 14 (14%) | 6 (9.2%) | 8 (22.9%) | |
| 4. Hospitalized, requiring O2 | 43 (43%) | 31 (47.7%) | 12 (34.3%) | |
| 5. Hospitalized, requiring HFNC/NIV | 16 (16%) | 12 (18.5%) | 4 (11.4%) | |
| 6. Hospitalized, requiring intubation/ECMO | 15 (15%) | 11 (16.9%) | 4 (11.4%) | |
| | ||||
| Treatment for COVID-19 pneumonia | 81 (81%) | 56 (86.2%) | 25 (71.4%) | 0.128 |
| Anti retrovirals | 80 (80%) | 56 (86.2%) | 24 (68.6%) | 0.067 |
| Hydroxychloroquine | 80 (80%) | 55 (84.6%) | 25 (71.4%) | 0.19 |
| Anti-IL6 | 40 (40%) | 29 (44.6%) | 11 (31.4%) | 0.29 |
| Azithromycin | 42 (42%) | 31 (47.7%) | 11 (31.4%) | 0.174 |
| Other antibiotics | 48 (48%) | 35 (53.8%) | 13 (37.1%) | 0.166 |
| Enoxaparin | 73 (73%) | 47 (72.3%) | 26 (74.3%) | 1 |
| Corticosteroids | 15 (15%) | 9 (13.8%) | 6 (17.1%) | 0.883 |
| Antiplatelet drugs | 19 (19%) | 16 (24.6%) | 3 (8.6%) | 0.092 |
| Length of stay (days) | 23.3 (16.1) | 25.4 (15.8) | 18.8 (16.0) | 0.072 |
| Post COVID-19 | ||||
| Days since first symptoms | 96.5 (45.3) | 93.2 (40.7) | 102.7 (52.8) | 0.319 |
| Days since hospital discharge | 62.1 (39.7) | 58.3 (34.4) | 70.2 (48.9) | 0.25 |
| N. persistent symptoms | 3.0 (2.5) | 2.6 (2.3) | 3.8 (2.9) | 0.02 |
| Persistent symptoms | 0.114 | |||
| No symptoms | 17 (17%) | 14 (21.5%) | 3 (8.6%) | |
| 1–2 symptoms | 33 (33%) | 23 (35.4%) | 10 (28.6%) | |
| ≥3 symptoms | 50 (50%) | 28 (43.1%) | 22 (62.9%) | |
| Decrease in QoL (EQ-VAS) | −10.1 (14.0) | −7.7 (13.1) | −14.7 (14.8) | 0.022 |
Abbreviations: BMI, body mass index; COPD, chronic obstructive pulmonary disease; ECMO, extracorporeal membrane oxygenation; EQ-VAS, EuroQol visual analog scale; HFNC, high-flow nasal cannulae; NIV, noninvasive ventilation; QoL, quality of life.
Fig. 1Neurologic symptoms reported in the acute and recovery phase.
Neuropsychological tests
| Total | Sex | Severity – Seven Category Ordinal Scale | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Not Hospitalized | Hospitalized | |||||||||
| Males | Females | 2. At Home | 3. No O2 | 4. O2 | 5. HFNC/NIV | 6. Intubation/ECMO | ||||
| n = 100 | n = 65 | n = 35 | n = 12 | n = 14 | n = 43 | n = 16 | n = 15 | |||
| MMSE | ||||||||||
| Corrected | 28.2 (1.7) | 28.4 (1.7) | 27.7 (1.8) | 0.068 | 28.2 (1.9) | 28.5 (1.5) | 27.9 (2.1) | 28.2 (1.3) | 28.7 (0.8) | 0.48 |
| Rey’s immediate recall | ||||||||||
| Corrected | 42.6 (7.8) | 41.8 (8.0) | 44.1 (7.3) | 0.171 | 43.1 (7.0) | 42.5 (8.7) | 41.7 (7.5) | 42.8 (8.8) | 44.7 (8.0) | 0.804 |
| Equivalent | 3.1 (1.1) | 3.0 (1.2) | 3.5 (0.9) | 0.044 | 3.4 (0.9) | 3.1 (1.1) | 3.0 (1.2) | 3.1 (1.1) | 3.5 (1.1) | 0.638 |
| Failed | 2 (2%) | 2 (3.1%) | 0 (0%) | 0 (0%) | 0 (0%) | 1 (2.3%) | 0 (0%) | 1 (6.7%) | ||
| Borderline | 9 (9%) | 8 (12.3%) | 1 (2.9%) | 0 (0%) | 2 (14.3%) | 5 (11.6%) | 2 (12.5%) | 0 (0%) | ||
| Rey’s delayed recall | ||||||||||
| Corrected | 8.7 (2.9) | 8.2 (2.9) | 9.5 (2.7) | 0.03 | 9.5 (2.7) | 9.0 (2.8) | 8.1 (2.9) | 8.4 (3.1) | 9.6 (2.8) | 0.327 |
| Equivalen | 3.0 (1.3) | 2.8 (1.3) | 3.3 (1.2) | 0.03 | 3.3 (1.2) | 3.0 (1.5) | 2.8 (1.3) | 2.7 (1.4) | 3.3 (1.2) | 0.58 |
| Failed | 7 (7%) | 6 (9.2%) | 1 (2.9%) | 0 (0%) | 1 (7.1%) | 4 (9.3%) | 1 (6.2%) | 1 (6.7%) | ||
| Borderline | 10 (10%) | 6 (9.2%) | 4 (11.4%) | 2 (16.7%) | 2 (14.3%) | 3 (7%) | 3 (18.8%) | 0 (0%) | ||
| MFTC | ||||||||||
| Time corrected | 50.8 (31.7) | 51.4 (25.5) | 49.7 (41.3) | 0.797 | 44.4 (26.7) | 58.4 (26.1) | 48.6 (36.4) | 46.9 (25.4) | 59.3 (32.5) | 0.522 |
| Time equivalent | 3.8 (0.8) | 3.8 (0.6) | 3.6 (1.0) | 0.133 | 3.6 (1.0) | 3.6 (0.9) | 3.8 (0.7) | 3.9 (0.3) | 3.7 (1.0) | 0.703 |
| Failed | 2 (2%) | 1 (1.5%) | 1 (2.9%) | 0 (0%) | 0 (0%) | 1 (2.3%) | 0 (0%) | 1 (6.7%) | ||
| Borderline | 2 (2%) | 0 (0%) | 2 (5.7%) | 1 (8.3%) | 1 (7.1%) | 0 (0%) | 0 (0%) | 0 (0%) | ||
| False alarms corrected | 0.7 (2.5) | 0.6 (2.9) | 0.7 (1.3) | 0.858 | 2.6 (6.4) | 0.8 (1.9) | 0.4 (1.0) | 0.2 (0.8) | 0.3 (0.8) | 0.651 |
| False alarms equivalent | 3.5 (1.1) | 3.7 (0.9) | 3.2 (1.4) | 0.042 | 2.8 (1.8) | 3.4 (1.2) | 3.6 (0.9) | 3.7 (1.0) | 3.7 (1.0) | 0.149 |
| Failed | 7 (7%) | 3 (4.6%) | 4 (11.4%) | 3 (25%) | 1 (7.1%) | 1 (2.3%) | 1 (6.2%) | 1 (6.7%) | ||
| Borderline | 2 (2%) | 1 (1.5%) | 1 (2.9%) | 0 (0%) | 0 (0%) | 2 (4.7%) | 0 (0%) | 0 (0%) | ||
| Frontal Assessment Battery | ||||||||||
| Corrected | 15.8 (1.9) | 15.9 (1.8) | 15.7 (2.1) | 0.717 | 16.1 (2.2) | 15.6 (2.0) | 15.9 (1.9) | 15.9 (1.1) | 15.6 (2.2) | 0.952 |
| Equivalent | 2.8 (1.4) | 2.9 (1.4) | 2.7 (1.5) | 0.556 | 2.8 (1.6) | 2.8 (1.4) | 2.8 (1.4) | 2.9 (1.1) | 2.6 (1.8) | 0.978 |
| Failed | 12 (12%) | 6 (9.2%) | 6 (17.1%) | 2 (16.7%) | 2 (14.3%) | 4 (9.3%) | 0 (0%) | 4 (26.7%) | ||
| Borderline | 8 (8%) | 7 (10.8%) | 1 (2.9%) | 1 (8.3%) | 0 (0%) | 5 (11.6%) | 2 (12.5%) | 0 (0%) | ||
| Digit Span Forward | ||||||||||
| Corrected | 6.0 (1.1) | 6.0 (1.1) | 5.9 (1.1) | 0.444 | 5.8 (0.9) | 5.8 (1.1) | 6.0 (1.1) | 6.2 (1.2) | 6.0 (1.0) | 0.918 |
| Equivalent | 3.2 (1.3) | 3.2 (1.2) | 3.1 (1.4) | 0.479 | 3.2 (1.3) | 2.9 (1.6) | 3.2 (1.3) | 3.4 (1.3) | 3.1 (1.1) | 0.917 |
| Failed | 8 (8%) | 4 (6.2%) | 4 (11.4%) | 1 (8.3%) | 2 (14.3%) | 4 (9.3%) | 1 (6.2%) | 0 (0%) | ||
| Borderline | 4 (4%) | 3 (4.6%) | 1 (2.9%) | 0 (0%) | 1 (7.1%) | 1 (2.3%) | 1 (6.2%) | 1 (6.7%) | ||
| Digit Span Backwards | ||||||||||
| Corrected | 4.1 (1.0) | 4.2 (1.0) | 3.9 (1.0) | 0.26 | 4.3 (0.8) | 4.0 (0.8) | 4.1 (1.0) | 3.8 (0.9) | 4.1 (1.1) | 0.701 |
| Equivalent | 2.7 (1.3) | 2.8 (1.3) | 2.5 (1.4) | 0.279 | 3.1 (1.2) | 2.6 (1.2) | 2.8 (1.4) | 2.6 (1.5) | 2.6 (1.4) | 0.852 |
| Failed | 8 (8%) | 4 (6.2%) | 4 (11.4%) | 0 (0%) | 0 (0%) | 5 (11.6%) | 2 (12.5%) | 1 (6.7%) | ||
| Borderline | 15 (15%) | 8 (12.3%) | 7 (20%) | 2 (16.7%) | 3 (21.4%) | 4 (9.3%) | 3 (18.8%) | 3 (20%) | ||
| Trail Making | ||||||||||
| Corrected | 118.2 (100.6) | 93.9 (86.8) | 163.5 (109.7) | <.001 | 185.2 (121.7) | 94.3 (91.1) | 112.2 (99.2) | 98.4 (89.8) | 125.5 (94.8) | 0.136 |
| Equivalent | 2.3 (1.5) | 2.7 (1.4) | 1.6 (1.5) | <.001 | 1.5 (1.7) | 2.9 (1.5) | 2.4 (1.6) | 2.4 (1.4) | 2.1 (1.4) | 0.231 |
| Failed | 21 (21%) | 8 (12.3%) | 13 (37.1%) | 6 (50%) | 2 (14.3%) | 8 (18.6%) | 2 (12.5%) | 3 (20%) | ||
| Borderline | 11 (11%) | 7 (10.8%) | 4 (11.4%) | 0 (0%) | 0 (0%) | 6 (14%) | 3 (18.8%) | 2 (13.3%) | ||
Abbreviations: ECMO, extracorporeal membrane oxygenation; HFNC, high-flow nasal cannulae; MFTC, Multiple Features Target Cancellation test; MMSE, Mini Mental State Exam.
Fig. 2Neuropsychological tests. The figure shows, for each neuropsychological test, the proportion of patients with fair (light color), borderline (darker color) or failed (dark color) outcome. Equivalent scores (ES) were used to rate participants: those with a score of 2 or more, 1, or zero were classified as having normal, borderline or pathologic performance respectively. Horizontal dashed line indicates the overall prevalence of participants classified as having a pathologic neuropsychological test (ie, ≥1 ES of zero and ≥1 ES of 1) MFTC, Multiple Features Target Cancellation test.