Cogvid analysis
Ismael Calandri
15/5/2021
Table 1. Demographics
Esta tabla, y la siguiente, las pense para mostrar la poblacion. Ya que es en definitiva una serie de casos, es muy importante mostrar como son los casos por eso la tabla 2
| Characteristic | Healthy control, N = 361 | Covid, N = 361 | p-value2 |
|---|---|---|---|
| Age (y) | 58 (48, 64) | 51 (44, 65) | 0.7 |
| sex | >0.9 | ||
| Male | 18 (50%) | 18 (50%) | |
| Female | 18 (50%) | 18 (50%) | |
| Education (y) | 18.00 (15.00, 18.00) | 18.00 (15.00, 18.00) | 0.9 |
| CAIDE dementia score | 6.00 (5.00, 7.00) | 5.00 (3.00, 7.00) | 0.2 |
|
1
Median (IQR); n (%)
2
Wilcoxon rank sum test; Pearson's Chi-squared test
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Table 2. Covid cases features
De esta tabla me parecio importante reportar que los pacientes son evaluados mas o menos 3 meses despues del cuadro agudo! Puse algunos factores que me parecieron los mas relevantes (podemos agregar el que consideren)
| Characteristic | N = 361 |
|---|---|
| Covid infection | |
| Covid severity (WHO clinical progression scale) | |
| Asymptomatic | 0 (0%) |
| Mild | 15 (60%) |
| Moderate | 10 (40%) |
| Severe | 0 (0%) |
| Time of evaluation since diagnosis | 170 (94, 206) |
| Neurological disease history | |
| Prior Cognitive impairment | 3 (8.3%) |
| Epilepsy | 0 (0%) |
| Parkinson disease | 0 (0%) |
| Multiple Sclerosis | 0 (0%) |
| Stroke | 0 (0%) |
| Risk factors | |
| Hypertension | 5 (14%) |
| Obesity | 4 (11%) |
| Diabetes | 2 (5.6%) |
| Smoke | 2 (5.6%) |
| Cardiac disease | 0 (0%) |
| COPD | 0 (0%) |
| BMI | 25.8 (22.7, 28.9) |
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1
n (%); Median (IQR)
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Table 2a. Covid cases functionality after covid (WHODAS 2.0)
Estas son las preguntas de la OMS convertidas a los scores que postulan, hay que sacar la columna de asintomaticos y severos (que no tenemos), me parece importante mostrar que el mayor compromiso funcional de estos pacientes se encuentra en la cognicion
| Characteristic | Overall, N = 251 | Asymptomatic, N = 01 | Mild, N = 151 | Moderate, N = 101 | Severe, N = 01 | p-value2 |
|---|---|---|---|---|---|---|
| Cognition | 2.00 (1.00, 4.25) | NA (NA, NA) | 2.00 (1.00, 2.00) | 4.50 (3.25, 5.00) | NA (NA, NA) | 0.024 |
| Life activities | 1.00 (0.00, 4.00) | NA (NA, NA) | 1.00 (0.50, 2.00) | 3.50 (0.50, 5.50) | NA (NA, NA) | 0.2 |
| Mobility | 1.00 (0.00, 2.00) | NA (NA, NA) | 1.00 (0.00, 2.00) | 1.50 (1.00, 5.00) | NA (NA, NA) | 0.2 |
| Self-care | 0.00 (0.00, 0.00) | NA (NA, NA) | 0.00 (0.00, 0.00) | 0.00 (0.00, 0.75) | NA (NA, NA) | 0.12 |
| Getting along | 1.00 (0.00, 2.00) | NA (NA, NA) | 1.00 (0.00, 2.00) | 1.50 (0.00, 2.75) | NA (NA, NA) | 0.5 |
| Participation | 3.00 (2.00, 4.00) | NA (NA, NA) | 2.00 (1.50, 3.50) | 4.00 (2.25, 5.00) | NA (NA, NA) | 0.061 |
| WHODAS total | 10 (4, 14) | NA (NA, NA) | 6 (4, 11) | 14 (8, 26) | NA (NA, NA) | 0.049 |
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1
Median (IQR)
2
Wilcoxon rank sum test
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Table 3 Cognition cases and controls
La vieja tablita neuropsicologica
| Characteristic | Healthy control, N = 361 | Covid, N = 361 | p-value2 |
|---|---|---|---|
| Screening | |||
| MMSE | NA (NA) | 27.50 (3.27) | |
| MoCA total | 27.22 (1.97) | 26.00 (3.13) | 0.2 |
| MMSE/MoCA crosswalk | 27.22 (1.97) | 25.53 (3.53) | 0.050 |
| CDT | 9.78 (0.63) | 8.99 (1.44) | 0.004 |
| Memory | |||
| Craft Story inmediate recall (textual) | 21.7 (4.2) | 17.2 (7.4) | 0.006 |
| Craft Story inmediate recall (paraf) | 16.9 (2.7) | 13.8 (4.2) | 0.001 |
| Craft Story delayed recall (textual) | 20 (5) | 14 (8) | 0.003 |
| Craft Story delayed recall (paraf) | 15.9 (2.9) | 12.1 (5.1) | 0.001 |
| RAVLT Total | 50 (8) | 41 (13) | 0.003 |
| RAVLT delayed recall | 10.2 (2.8) | 8.2 (4.3) | 0.014 |
| RAVLT recognition | 12.94 (1.67) | 11.88 (2.16) | 0.035 |
| Benson figure delayed recall | 12.47 (2.26) | 9.97 (2.86) | <0.001 |
| Rey figure delayed recall | NA (NA) | 22.8 (8.2) | |
| Language | |||
| MINT | 30.39 (1.48) | 29.31 (2.22) | 0.047 |
| BNT | NA (NA) | 27.57 (2.64) | |
| MINT/BNT crosswalk | 30.39 (1.48) | 29.36 (2.27) | 0.061 |
| Semantic fluency | 23.1 (4.1) | 19.0 (5.2) | <0.001 |
| Phonological fluency (p) | 18.3 (4.3) | 14.3 (5.0) | 0.002 |
| Phonological fluency (m) | 16.3 (3.5) | 14.0 (4.6) | 0.039 |
| Attention | |||
| Digit span (direct) | 6.92 (0.91) | 5.86 (1.22) | <0.001 |
| Digit span (indirect) | 5.14 (0.90) | 3.92 (1.13) | <0.001 |
| Trial making test A | 28 (6) | 46 (26) | <0.001 |
| WAIS IV claves | 13.63 (2.88) | 12.04 (3.81) | 0.012 |
| DSST | 1 (NA) | 22 (18) | 0.3 |
| Ejecutive System | |||
| Trial making test B | 60 (19) | 111 (85) | <0.001 |
| FAB | 17.71 (0.59) | 16.77 (1.24) | 0.020 |
| Stroop word-colour | 51 (9) | 49 (10) | 0.3 |
| Stroop int | 53 (8) | 52 (6) | 0.4 |
| WCST cat | 6.00 (0.00) | 5.60 (1.04) | 0.023 |
| WCST pers | 0.68 (1.19) | 3.08 (5.22) | 0.032 |
| Visuospatial | |||
| Benson figure copy | 16.22 (0.96) | 16.33 (3.52) | 0.2 |
| Rey figure copy | NA (NA) | 34.00 (3.46) | |
| CDT | 9.78 (0.63) | 8.99 (1.44) | 0.004 |
| Neuropsych | |||
| HADS anxiety | 8.30 (3.29) | 8.26 (3.22) | 0.8 |
| HADS depresion | 6.9 (8.1) | 5.4 (3.3) | 0.7 |
| MMQ | 38 (14) | 34 (12) | 0.3 |
| FAQ | 0.00 (0.00) | 1.71 (2.43) | 0.057 |
|
1
Mean (SD)
2
Wilcoxon rank sum test
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Multiple comparison corrections
Esta tabla (que parece un chino), es solo para elegir el metodo mas generoso con las correcciones multiples, despues que decidamos y despues la pongo como una columnita mas de la anterior
| Test | Raw.p | Bonferroni | BH | Holm | Hochberg | Hommel | BY | |
|---|---|---|---|---|---|---|---|---|
| 4 | Craft_Story_inmediate_recall_paraf | 0.001 | 0.032 | 0.0040000 | 0.032 | 0.025 | 0.024 | 0.0162340 |
| 6 | Craft_Story_delayed_recall_paraf | 0.001 | 0.032 | 0.0040000 | 0.032 | 0.025 | 0.024 | 0.0162340 |
| 10 | Benson_figure_delayed_recall | 0.001 | 0.032 | 0.0040000 | 0.032 | 0.025 | 0.024 | 0.0162340 |
| 13 | Semantic_fluency | 0.001 | 0.032 | 0.0040000 | 0.032 | 0.025 | 0.024 | 0.0162340 |
| 16 | Digit_span_direct | 0.001 | 0.032 | 0.0040000 | 0.032 | 0.025 | 0.024 | 0.0162340 |
| 17 | Digit_span_indirect | 0.001 | 0.032 | 0.0040000 | 0.032 | 0.025 | 0.024 | 0.0162340 |
| 18 | Trial_making_test_A | 0.001 | 0.032 | 0.0040000 | 0.032 | 0.025 | 0.024 | 0.0162340 |
| 21 | Trialmaking_test_B | 0.001 | 0.032 | 0.0040000 | 0.032 | 0.025 | 0.024 | 0.0162340 |
| 14 | Phonological_fluency | 0.002 | 0.064 | 0.0071111 | 0.048 | 0.048 | 0.044 | 0.0288604 |
| 5 | Craft_Story_delayed_recall_textual | 0.003 | 0.096 | 0.0087273 | 0.069 | 0.066 | 0.063 | 0.0354196 |
| 7 | RAVLT_Total | 0.003 | 0.096 | 0.0087273 | 0.069 | 0.066 | 0.063 | 0.0354196 |
| 28 | CDT | 0.004 | 0.128 | 0.0106667 | 0.084 | 0.084 | 0.080 | 0.0432906 |
| 3 | Craft_Story_inmediate_recall_textual | 0.006 | 0.192 | 0.0147692 | 0.120 | 0.120 | 0.108 | 0.0599409 |
| 19 | WAIS_IV_claves | 0.012 | 0.384 | 0.0274286 | 0.228 | 0.228 | 0.156 | 0.1113187 |
| 8 | RAVLT_delayed_recall | 0.014 | 0.448 | 0.0298667 | 0.252 | 0.252 | 0.168 | 0.1212137 |
| 22 | FAB | 0.020 | 0.640 | 0.0400000 | 0.340 | 0.340 | 0.220 | 0.1623398 |
| 25 | WCST_cat | 0.023 | 0.736 | 0.0432941 | 0.368 | 0.368 | 0.230 | 0.1757090 |
| 26 | WCST_pers | 0.032 | 1.000 | 0.0568889 | 0.480 | 0.480 | 0.305 | 0.2308833 |
| 9 | RAVLT_recognition | 0.035 | 1.000 | 0.0589474 | 0.490 | 0.490 | 0.315 | 0.2392376 |
| 15 | Phonological_fluency_m | 0.039 | 1.000 | 0.0624000 | 0.507 | 0.507 | 0.351 | 0.2532501 |
| 11 | MINT | 0.047 | 1.000 | 0.0716190 | 0.564 | 0.549 | 0.423 | 0.2906656 |
| 2 | MMSE/MoCA_crosswalk | 0.050 | 1.000 | 0.0727273 | 0.564 | 0.549 | 0.450 | 0.2951633 |
| 32 | FAQ | 0.057 | 1.000 | 0.0793043 | 0.570 | 0.549 | 0.456 | 0.3218563 |
| 12 | MINT/BNT_crosswalk | 0.061 | 1.000 | 0.0813333 | 0.570 | 0.549 | 0.480 | 0.3300909 |
| 1 | MoCA_total | 0.200 | 1.000 | 0.2461538 | 1.000 | 0.800 | 0.800 | 0.9990142 |
| 27 | Benson_figure_copy | 0.200 | 1.000 | 0.2461538 | 1.000 | 0.800 | 0.800 | 0.9990142 |
| 20 | DSST | 0.300 | 1.000 | 0.3310345 | 1.000 | 0.800 | 0.800 | 1.0000000 |
| 23 | Stroop_word-colour | 0.300 | 1.000 | 0.3310345 | 1.000 | 0.800 | 0.800 | 1.0000000 |
| 31 | MMQ | 0.300 | 1.000 | 0.3310345 | 1.000 | 0.800 | 0.800 | 1.0000000 |
| 24 | Stroop_int | 0.400 | 1.000 | 0.4266667 | 1.000 | 0.800 | 0.800 | 1.0000000 |
| 30 | HADS_depresion | 0.700 | 1.000 | 0.7225806 | 1.000 | 0.800 | 0.800 | 1.0000000 |
| 29 | HADS_anxiety | 0.800 | 1.000 | 0.8000000 | 1.000 | 0.800 | 0.800 | 1.0000000 |
Comparacion de composites
Tabla 4.a Cognition cases and controls (by composites)
En este caso creo que la tabla 3 y la 4a se pueden fusionar, podemos discutirlo luego
| Characteristic | Healthy control, N = 171 | Covid, N = 171 | p-value2 |
|---|---|---|---|
| Memory (composite) | 0.40 (0.05, 0.60) | -0.51 (-0.82, -0.06) | 0.005 |
| Attention (composite) | -0.15 (-0.66, 0.05) | -1.25 (-1.61, -0.72) | 0.004 |
| Executive (composite) | 0.13 (0.04, 0.45) | -0.74 (-1.44, -0.28) | <0.001 |
| Language (composite) | 0.15 (-0.22, 0.43) | -0.58 (-0.87, 0.04) | 0.020 |
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1
Median (IQR)
2
Wilcoxon rank sum test; Wilcoxon rank sum exact test
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Cognition vs severity
Esto podemos mostrarlo de diferentes formas me parece que la mas interesante es con la figura de abajo y agregandole las p, siempre podemos probar con la otra tabla, que viene mas abajo
Figure 1. Cognition vs severity
Cognitive perfomance in composites vs severity ** en este caso los graficos estan hechos solo con los seleccionados
Alternative versions
Table Cognition vs severity
| Characteristic | Asymptomatic, N = 01 | Mild, N = 111 | Moderate, N = 51 | Severe, N = 01 | p-value2 |
|---|---|---|---|---|---|
| Memory (composite) | NA (NA, NA) | -0.51 (-0.79, -0.16) | -0.73 (-1.14, -0.06) | NA (NA, NA) | 0.8 |
| Attention (composite) | NA (NA, NA) | -1.25 (-1.60, -0.57) | -1.31 (-1.61, -1.05) | NA (NA, NA) | 0.7 |
| Executive (composite) | NA (NA, NA) | -0.59 (-1.29, -0.34) | -1.23 (-1.98, -0.74) | NA (NA, NA) | 0.4 |
| Language (composite) | NA (NA, NA) | -0.54 (-0.68, 0.12) | -0.76 (-0.87, -0.08) | NA (NA, NA) | 0.7 |
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1
Median (IQR)
2
Wilcoxon rank sum exact test; Wilcoxon rank sum test
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Figure 2. Cognitive complaint by domain and severity
Cognitive perfomance in the four composites by severity in correlation with WHODAS cognition domain complaint
