Introductie

Column

Vrouwen met RRMMS met COVID-19 symptomen

In dit groepsproject hebben we onderzocht in hoeverre vrouwelijke patiënten met RRMMS die medicamenteuze therapie ondergaan meer gerapporteerde Covid-19 symptomenen evaren in vergelijking met patiënten zonder behandeling.

H0: Er is geen verschil tussen vrouwelijke patiënten met RRMS die medicamenteuze therapie ondergaan vergeleken met vrouwen met RRMS zonder medicamenteuze therapie op basis van gerapporteerde COVID-19 symptomen. Ha: Er is een verschil tussen vrouwelijke patiënten met RRMS die medicamenteuze therapie ondergaan vergeleken met vrouwen met RRMS zonder medicamenteuze therapie op basis van gerapporteerde COVID-19 symptomen

Objectieven

  • Beschrijven van het voorkomen van covid-19 symptomen bij vrouwen met RRMS.

  • Beschrijven van het medicatiegebruik bij vrouwen met RRMS.

  • Het verband onderzoeken tussen meer gerapporteerde covid-19 symptomen en het gebruik van een medicamenteuze behandeling uit de databank van GDSI_OpenDataset_Final.

Column

Groepsnaam

Groepsleden:

  • An-Sofie

  • Dennis Hertoghe

  • Dries Nassen

Methodologie

We hebben gewerkt in verschillende stappen:

  1. Inladen van de data en sorteren op enkel vrouwen met RRMMS.

  2. Beschrijvende analyse over hoeveel vrouwen met RRMMS Covid-19 symptomen hebben en welke suspected en confirmed zijn. Daarnaast verschillende comorbiditeiten van deze vrouwen en hun medicatiegebruik.

  3. Alle data die “not answered” zijn aanpassen naar “neen” gerelateerd aan alle variabele binnen de categorie Covid-19 symptomen.

  4. Alle kollomen “Yes” en “No” worden omgezet naar “0” of “1”, bij alle variabele binnen de categorie Covid-19 symptomen.

  5. Dataset opstellen met enkel de kolommen van Covid-19 symptomen en deze kolomnamen versimpelen.

  6. Starten met hiërarchisch clusteren tot we een visualisatie bekomen (Dendogram).

  7. Medicatie TO DO !!

  8. Voer test statistiek uit: Chi-kwadraat voor goodness of fit met betrekking tot de clustering van Covid-19 symptomen.

  9. Regressie TO DO !!

  10. Bespreking resultaten in het dashboard.

Descriptieve analyse

Column

Geslacht



female   male 
   904    237 

Column

MS types



              other      progressive_MS relapsing_remitting 
                131                 104                 906 

Geslacht & MS types


        
         other progressive_MS relapsing_remitting
  female    93             72                 739
  male      38             32                 167

Descriptieve analyse (van vrouwen met RRMS)

Column

Hoeveel vrouwen met RRMS covid symptomen hebben



     no yes 
  7 489 243 

Hoeveel vrouwen hebben verschillende comorbiditeiten


     no yes 
562 171   6 

 no yes 
522 217 

     no yes 
563 173   3 

     no yes 
560 175   4 

     no yes 
558 169  12 

     no yes 
556 153  30 

     no yes 
565 155  19 

     no yes 
560 160  19 

     no yes 
565 166   8 

     no yes 
562 161  16 

  1 
160 

Column

Hoeveel vrouwenRRMS nemen bepaalde medicatie (hier kunnen we de groepen uitmaken)


                                              currently not using any DMT 
                                  82                                   59 
            currently on alemtuzumab currently on another drug not listed 
                                   8                                  117 
             currently on cladribine       currently on dimethyl fumarate 
                                  29                                  101 
             currently on fingolimod              currently on glatiramer 
                                  90                                   43 
             currently on interferon             currently on natalizumab 
                                  59                                   49 
            currently on ocrelizumab               currently on rituximab 
                                  52                                    8 
          currently on teriflunomide 
                                  42 

     no yes 
  7 489 243 

Column

Hoeveel vrouwen hebben bepaalde symptomen


     no yes 
546  54 139 

     no yes 
576  89  74 

     no yes 
549  31 159 

     no yes 
567 102  70 

     no yes 
557  68 114 

     no yes 
544 100  95 

     no yes 
576 103  60 

     no yes 
557  57 125 

     no yes 
586 143  10 

     no yes 
560  64 115 

Chi-kwadraat test

Column

Visualisatie van afstandmatrix


## Column {data-width=“250”}

Hierargisch clusteren


Column

Clusteren frequenties

          chills        dry_cough          fatigue            fever 
               1                2                2                1 
loss_smell_taste nasal_congestion             pain        pneumonia 
               3                2                2                4 
shortness_breath      sore_throat 
               1                2 
clusters
1 2 3 4 
3 5 1 1 
clusters
  1   2   3   4 
0.3 0.5 0.1 0.1 

Column

Histogram cluster frequenties

Column

Chi-kwadraat


clusters
1 2 3 4 
3 5 1 1 

    Chi-squared test for given probabilities

data:  cluster_counts
X-squared = 4.4, df = 3, p-value = 0.2214

Logistische regressie

Column

Symptoom rillingen



Call:
glm(formula = chills ~ dmt_type_overall + symptoom_cluster1 + 
    symptoom_cluster2 + symptoom_cluster3, family = "binomial", 
    data = vrouwenRRMS)

Coefficients:
                                                       Estimate Std. Error
(Intercept)                                            -37.7215  2433.4455
dmt_type_overallcurrently not using any DMT              0.7388     0.8001
dmt_type_overallcurrently on alemtuzumab                15.1555 17212.7910
dmt_type_overallcurrently on another drug not listed     0.1201     0.7571
dmt_type_overallcurrently on cladribine                  0.6383     1.0806
dmt_type_overallcurrently on dimethyl fumarate          -0.3634     0.7861
dmt_type_overallcurrently on fingolimod                 -0.4860     0.7933
dmt_type_overallcurrently on glatiramer                  0.4678     0.9101
dmt_type_overallcurrently on interferon                  0.6457     0.9762
dmt_type_overallcurrently on natalizumab                -0.1613     0.9179
dmt_type_overallcurrently on ocrelizumab                -1.4340     0.9122
dmt_type_overallcurrently on rituximab                   0.2442     1.5575
dmt_type_overallcurrently on teriflunomide               0.1229     0.9582
symptoom_cluster1                                       20.3459  1681.9380
symptoom_cluster2                                       17.1315  1758.6197
symptoom_cluster3                                        1.0268     0.4480
                                                     z value Pr(>|z|)  
(Intercept)                                           -0.016   0.9876  
dmt_type_overallcurrently not using any DMT            0.923   0.3558  
dmt_type_overallcurrently on alemtuzumab               0.001   0.9993  
dmt_type_overallcurrently on another drug not listed   0.159   0.8739  
dmt_type_overallcurrently on cladribine                0.591   0.5548  
dmt_type_overallcurrently on dimethyl fumarate        -0.462   0.6439  
dmt_type_overallcurrently on fingolimod               -0.613   0.5401  
dmt_type_overallcurrently on glatiramer                0.514   0.6073  
dmt_type_overallcurrently on interferon                0.661   0.5083  
dmt_type_overallcurrently on natalizumab              -0.176   0.8605  
dmt_type_overallcurrently on ocrelizumab              -1.572   0.1159  
dmt_type_overallcurrently on rituximab                 0.157   0.8754  
dmt_type_overallcurrently on teriflunomide             0.128   0.8980  
symptoom_cluster1                                      0.012   0.9903  
symptoom_cluster2                                      0.010   0.9922  
symptoom_cluster3                                      2.292   0.0219 *
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

(Dispersion parameter for binomial family taken to be 1)

    Null deviance: 480.91  on 738  degrees of freedom
Residual deviance: 188.15  on 723  degrees of freedom
AIC: 220.15

Number of Fisher Scoring iterations: 21

Symptoom droge hoest


Call:
glm(formula = dry_cough ~ dmt_type_overall + symptoom_cluster1 + 
    symptoom_cluster2 + symptoom_cluster3, family = "binomial", 
    data = vrouwenRRMS)

Coefficients:
                                                       Estimate Std. Error
(Intercept)                                            -31.2872  1514.4174
dmt_type_overallcurrently not using any DMT             -0.3257     0.7053
dmt_type_overallcurrently on alemtuzumab                 9.7212 10445.5918
dmt_type_overallcurrently on another drug not listed    -0.4952     0.6388
dmt_type_overallcurrently on cladribine                 -0.6878     0.9113
dmt_type_overallcurrently on dimethyl fumarate          -1.1560     0.6827
dmt_type_overallcurrently on fingolimod                 -0.6944     0.6458
dmt_type_overallcurrently on glatiramer                  0.7852     0.9360
dmt_type_overallcurrently on interferon                 -1.5712     0.7414
dmt_type_overallcurrently on natalizumab                -1.1202     0.6984
dmt_type_overallcurrently on ocrelizumab                 0.2889     0.7740
dmt_type_overallcurrently on rituximab                  14.5448  1071.8416
dmt_type_overallcurrently on teriflunomide              -1.0404     0.7895
symptoom_cluster1                                        0.4997     0.3069
symptoom_cluster2                                       31.8901  1514.4174
symptoom_cluster3                                        0.6295     0.3636
                                                     z value Pr(>|z|)  
(Intercept)                                           -0.021   0.9835  
dmt_type_overallcurrently not using any DMT           -0.462   0.6443  
dmt_type_overallcurrently on alemtuzumab               0.001   0.9993  
dmt_type_overallcurrently on another drug not listed  -0.775   0.4382  
dmt_type_overallcurrently on cladribine               -0.755   0.4504  
dmt_type_overallcurrently on dimethyl fumarate        -1.693   0.0904 .
dmt_type_overallcurrently on fingolimod               -1.075   0.2823  
dmt_type_overallcurrently on glatiramer                0.839   0.4015  
dmt_type_overallcurrently on interferon               -2.119   0.0341 *
dmt_type_overallcurrently on natalizumab              -1.604   0.1087  
dmt_type_overallcurrently on ocrelizumab               0.373   0.7090  
dmt_type_overallcurrently on rituximab                 0.014   0.9892  
dmt_type_overallcurrently on teriflunomide            -1.318   0.1875  
symptoom_cluster1                                      1.628   0.1035  
symptoom_cluster2                                      0.021   0.9832  
symptoom_cluster3                                      1.731   0.0834 .
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

(Dispersion parameter for binomial family taken to be 1)

    Null deviance: 714.53  on 738  degrees of freedom
Residual deviance: 272.49  on 723  degrees of freedom
AIC: 304.49

Number of Fisher Scoring iterations: 20

Symptoom vermoeidheid


Call:
glm(formula = fatigue ~ dmt_type_overall + symptoom_cluster1 + 
    symptoom_cluster2 + symptoom_cluster3, family = "binomial", 
    data = vrouwenRRMS)

Coefficients:
                                                       Estimate Std. Error
(Intercept)                                          -3.078e+01  1.510e+03
dmt_type_overallcurrently not using any DMT          -7.616e-01  7.585e-01
dmt_type_overallcurrently on alemtuzumab              9.217e+00  1.044e+04
dmt_type_overallcurrently on another drug not listed  2.738e-01  7.443e-01
dmt_type_overallcurrently on cladribine              -5.066e-01  1.025e+00
dmt_type_overallcurrently on dimethyl fumarate       -1.031e+00  7.485e-01
dmt_type_overallcurrently on fingolimod              -9.853e-02  7.320e-01
dmt_type_overallcurrently on glatiramer              -8.108e-01  8.272e-01
dmt_type_overallcurrently on interferon               1.532e-01  8.745e-01
dmt_type_overallcurrently on natalizumab              2.446e-01  8.163e-01
dmt_type_overallcurrently on ocrelizumab             -2.242e+00  7.747e-01
dmt_type_overallcurrently on rituximab                1.405e+01  1.069e+03
dmt_type_overallcurrently on teriflunomide           -1.421e+00  8.377e-01
symptoom_cluster1                                     9.504e-01  3.386e-01
symptoom_cluster2                                     3.143e+01  1.510e+03
symptoom_cluster3                                     8.376e-01  4.132e-01
                                                     z value Pr(>|z|)   
(Intercept)                                           -0.020  0.98374   
dmt_type_overallcurrently not using any DMT           -1.004  0.31532   
dmt_type_overallcurrently on alemtuzumab               0.001  0.99930   
dmt_type_overallcurrently on another drug not listed   0.368  0.71303   
dmt_type_overallcurrently on cladribine               -0.494  0.62116   
dmt_type_overallcurrently on dimethyl fumarate        -1.378  0.16830   
dmt_type_overallcurrently on fingolimod               -0.135  0.89292   
dmt_type_overallcurrently on glatiramer               -0.980  0.32699   
dmt_type_overallcurrently on interferon                0.175  0.86095   
dmt_type_overallcurrently on natalizumab               0.300  0.76444   
dmt_type_overallcurrently on ocrelizumab              -2.894  0.00381 **
dmt_type_overallcurrently on rituximab                 0.013  0.98951   
dmt_type_overallcurrently on teriflunomide            -1.697  0.08976 . 
symptoom_cluster1                                      2.807  0.00500 **
symptoom_cluster2                                      0.021  0.98340   
symptoom_cluster3                                      2.027  0.04265 * 
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

(Dispersion parameter for binomial family taken to be 1)

    Null deviance: 769.61  on 738  degrees of freedom
Residual deviance: 235.20  on 723  degrees of freedom
AIC: 267.2

Number of Fisher Scoring iterations: 20

Symptoom koorts


Call:
glm(formula = fever ~ dmt_type_overall + symptoom_cluster1 + 
    symptoom_cluster2 + symptoom_cluster3, family = "binomial", 
    data = vrouwenRRMS)

Coefficients:
                                                       Estimate Std. Error
(Intercept)                                          -2.214e+01  1.191e+03
dmt_type_overallcurrently not using any DMT           2.734e-01  7.830e-01
dmt_type_overallcurrently on alemtuzumab              5.695e-01  1.040e+04
dmt_type_overallcurrently on another drug not listed  1.122e+00  7.983e-01
dmt_type_overallcurrently on cladribine              -8.273e-02  1.043e+00
dmt_type_overallcurrently on dimethyl fumarate        3.209e-01  7.939e-01
dmt_type_overallcurrently on fingolimod               1.028e+00  8.134e-01
dmt_type_overallcurrently on glatiramer               6.096e-02  9.028e-01
dmt_type_overallcurrently on interferon               6.628e-01  9.796e-01
dmt_type_overallcurrently on natalizumab             -9.474e-04  9.026e-01
dmt_type_overallcurrently on ocrelizumab              1.435e+00  9.999e-01
dmt_type_overallcurrently on rituximab                2.643e-01  1.560e+00
dmt_type_overallcurrently on teriflunomide            1.392e-01  9.616e-01
symptoom_cluster1                                     2.280e+01  1.191e+03
symptoom_cluster2                                    -9.257e-01  1.247e+00
symptoom_cluster3                                     1.063e+00  4.698e-01
                                                     z value Pr(>|z|)  
(Intercept)                                           -0.019   0.9852  
dmt_type_overallcurrently not using any DMT            0.349   0.7270  
dmt_type_overallcurrently on alemtuzumab               0.000   1.0000  
dmt_type_overallcurrently on another drug not listed   1.405   0.1599  
dmt_type_overallcurrently on cladribine               -0.079   0.9368  
dmt_type_overallcurrently on dimethyl fumarate         0.404   0.6860  
dmt_type_overallcurrently on fingolimod                1.263   0.2064  
dmt_type_overallcurrently on glatiramer                0.068   0.9462  
dmt_type_overallcurrently on interferon                0.677   0.4987  
dmt_type_overallcurrently on natalizumab              -0.001   0.9992  
dmt_type_overallcurrently on ocrelizumab               1.436   0.1511  
dmt_type_overallcurrently on rituximab                 0.169   0.8654  
dmt_type_overallcurrently on teriflunomide             0.145   0.8849  
symptoom_cluster1                                      0.019   0.9847  
symptoom_cluster2                                     -0.743   0.4578  
symptoom_cluster3                                      2.264   0.0236 *
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

(Dispersion parameter for binomial family taken to be 1)

    Null deviance: 567.00  on 738  degrees of freedom
Residual deviance: 185.45  on 723  degrees of freedom
AIC: 217.45

Number of Fisher Scoring iterations: 20

Symptoom reukverlies


Call:
glm(formula = loss_smell_taste ~ dmt_type_overall + symptoom_cluster1 + 
    symptoom_cluster2 + symptoom_cluster3, family = "binomial", 
    data = vrouwenRRMS)

Coefficients:
                                                       Estimate Std. Error
(Intercept)                                          -2.657e+01  4.000e+04
dmt_type_overallcurrently not using any DMT          -3.548e-13  6.110e+04
dmt_type_overallcurrently on alemtuzumab             -9.917e-13  1.321e+05
dmt_type_overallcurrently on another drug not listed -7.615e-13  5.140e+04
dmt_type_overallcurrently on cladribine              -2.463e-12  7.699e+04
dmt_type_overallcurrently on dimethyl fumarate       -7.915e-13  5.303e+04
dmt_type_overallcurrently on fingolimod              -1.908e-12  5.457e+04
dmt_type_overallcurrently on glatiramer              -6.543e-13  6.723e+04
dmt_type_overallcurrently on interferon              -2.619e-12  6.082e+04
dmt_type_overallcurrently on natalizumab             -1.856e-12  6.470e+04
dmt_type_overallcurrently on ocrelizumab              3.301e-13  6.327e+04
dmt_type_overallcurrently on rituximab               -1.729e-12  1.321e+05
dmt_type_overallcurrently on teriflunomide           -1.419e-12  6.767e+04
symptoom_cluster1                                     8.463e-12  4.872e+04
symptoom_cluster2                                    -5.592e-12  4.425e+04
symptoom_cluster3                                     5.313e+01  5.358e+04
                                                     z value Pr(>|z|)
(Intercept)                                           -0.001    0.999
dmt_type_overallcurrently not using any DMT            0.000    1.000
dmt_type_overallcurrently on alemtuzumab               0.000    1.000
dmt_type_overallcurrently on another drug not listed   0.000    1.000
dmt_type_overallcurrently on cladribine                0.000    1.000
dmt_type_overallcurrently on dimethyl fumarate         0.000    1.000
dmt_type_overallcurrently on fingolimod                0.000    1.000
dmt_type_overallcurrently on glatiramer                0.000    1.000
dmt_type_overallcurrently on interferon                0.000    1.000
dmt_type_overallcurrently on natalizumab               0.000    1.000
dmt_type_overallcurrently on ocrelizumab               0.000    1.000
dmt_type_overallcurrently on rituximab                 0.000    1.000
dmt_type_overallcurrently on teriflunomide             0.000    1.000
symptoom_cluster1                                      0.000    1.000
symptoom_cluster2                                      0.000    1.000
symptoom_cluster3                                      0.001    0.999

(Dispersion parameter for binomial family taken to be 1)

    Null deviance: 4.1631e+02  on 738  degrees of freedom
Residual deviance: 4.2874e-09  on 723  degrees of freedom
AIC: 32

Number of Fisher Scoring iterations: 25

Column

Symptoom verstopte neus


Call:
glm(formula = nasal_congestion ~ dmt_type_overall + symptoom_cluster1 + 
    symptoom_cluster2 + symptoom_cluster3, family = "binomial", 
    data = vrouwenRRMS)

Coefficients:
                                                       Estimate Std. Error
(Intercept)                                          -2.034e+01  7.782e+02
dmt_type_overallcurrently not using any DMT          -3.410e-01  6.251e-01
dmt_type_overallcurrently on alemtuzumab             -2.231e-01  6.317e+03
dmt_type_overallcurrently on another drug not listed  1.386e-01  5.810e-01
dmt_type_overallcurrently on cladribine              -9.410e-01  8.636e-01
dmt_type_overallcurrently on dimethyl fumarate        1.955e-01  6.348e-01
dmt_type_overallcurrently on fingolimod              -9.843e-01  5.969e-01
dmt_type_overallcurrently on glatiramer              -6.833e-01  7.139e-01
dmt_type_overallcurrently on interferon              -6.311e-01  6.817e-01
dmt_type_overallcurrently on natalizumab             -7.596e-01  6.535e-01
dmt_type_overallcurrently on ocrelizumab             -2.040e-04  6.466e-01
dmt_type_overallcurrently on rituximab               -4.257e-01  1.497e+00
dmt_type_overallcurrently on teriflunomide           -3.898e-01  7.410e-01
symptoom_cluster1                                     1.687e-01  2.952e-01
symptoom_cluster2                                     2.060e+01  7.782e+02
symptoom_cluster3                                     1.218e-01  3.282e-01
                                                     z value Pr(>|z|)  
(Intercept)                                           -0.026   0.9791  
dmt_type_overallcurrently not using any DMT           -0.545   0.5854  
dmt_type_overallcurrently on alemtuzumab               0.000   1.0000  
dmt_type_overallcurrently on another drug not listed   0.239   0.8115  
dmt_type_overallcurrently on cladribine               -1.090   0.2759  
dmt_type_overallcurrently on dimethyl fumarate         0.308   0.7581  
dmt_type_overallcurrently on fingolimod               -1.649   0.0991 .
dmt_type_overallcurrently on glatiramer               -0.957   0.3385  
dmt_type_overallcurrently on interferon               -0.926   0.3545  
dmt_type_overallcurrently on natalizumab              -1.162   0.2451  
dmt_type_overallcurrently on ocrelizumab               0.000   0.9997  
dmt_type_overallcurrently on rituximab                -0.284   0.7762  
dmt_type_overallcurrently on teriflunomide            -0.526   0.5989  
symptoom_cluster1                                      0.572   0.5676  
symptoom_cluster2                                      0.026   0.9789  
symptoom_cluster3                                      0.371   0.7105  
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

(Dispersion parameter for binomial family taken to be 1)

    Null deviance: 638.98  on 738  degrees of freedom
Residual deviance: 299.38  on 723  degrees of freedom
AIC: 331.38

Number of Fisher Scoring iterations: 19

Symptoom pijn


Call:
glm(formula = pain ~ dmt_type_overall + symptoom_cluster1 + symptoom_cluster2 + 
    symptoom_cluster3, family = "binomial", data = vrouwenRRMS)

Coefficients:
                                                       Estimate Std. Error
(Intercept)                                            -32.5505  1526.0814
dmt_type_overallcurrently not using any DMT              0.7734     0.6429
dmt_type_overallcurrently on alemtuzumab                10.9844 10447.2893
dmt_type_overallcurrently on another drug not listed     0.5584     0.5811
dmt_type_overallcurrently on cladribine                  0.1313     0.8498
dmt_type_overallcurrently on dimethyl fumarate           0.9632     0.6490
dmt_type_overallcurrently on fingolimod                  0.6053     0.5941
dmt_type_overallcurrently on glatiramer                  0.2403     0.7163
dmt_type_overallcurrently on interferon                 -0.2193     0.6951
dmt_type_overallcurrently on natalizumab                 1.2438     0.6825
dmt_type_overallcurrently on ocrelizumab                -0.6662     0.6749
dmt_type_overallcurrently on rituximab                  15.7930  1080.2646
dmt_type_overallcurrently on teriflunomide               0.9660     0.7747
symptoom_cluster1                                        0.5797     0.3009
symptoom_cluster2                                       31.8408  1526.0813
symptoom_cluster3                                        0.3805     0.3403
                                                     z value Pr(>|z|)  
(Intercept)                                           -0.021   0.9830  
dmt_type_overallcurrently not using any DMT            1.203   0.2290  
dmt_type_overallcurrently on alemtuzumab               0.001   0.9992  
dmt_type_overallcurrently on another drug not listed   0.961   0.3366  
dmt_type_overallcurrently on cladribine                0.155   0.8772  
dmt_type_overallcurrently on dimethyl fumarate         1.484   0.1378  
dmt_type_overallcurrently on fingolimod                1.019   0.3083  
dmt_type_overallcurrently on glatiramer                0.335   0.7373  
dmt_type_overallcurrently on interferon               -0.316   0.7523  
dmt_type_overallcurrently on natalizumab               1.822   0.0684 .
dmt_type_overallcurrently on ocrelizumab              -0.987   0.3235  
dmt_type_overallcurrently on rituximab                 0.015   0.9883  
dmt_type_overallcurrently on teriflunomide             1.247   0.2124  
symptoom_cluster1                                      1.927   0.0540 .
symptoom_cluster2                                      0.021   0.9834  
symptoom_cluster3                                      1.118   0.2635  
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

(Dispersion parameter for binomial family taken to be 1)

    Null deviance: 671.80  on 738  degrees of freedom
Residual deviance: 286.04  on 723  degrees of freedom
AIC: 318.04

Number of Fisher Scoring iterations: 20

Symptoom pneumonie


Call:
glm(formula = pneumonia ~ dmt_type_overall + symptoom_cluster1 + 
    symptoom_cluster2 + symptoom_cluster3, family = "binomial", 
    data = vrouwenRRMS)

Coefficients:
                                                       Estimate Std. Error
(Intercept)                                            -36.3295  3840.4430
dmt_type_overallcurrently not using any DMT            -19.6104  8882.2680
dmt_type_overallcurrently on alemtuzumab                12.7635 28355.3396
dmt_type_overallcurrently on another drug not listed     0.6760     1.2577
dmt_type_overallcurrently on cladribine                -19.1139 12278.3740
dmt_type_overallcurrently on dimethyl fumarate          -0.3252     1.4721
dmt_type_overallcurrently on fingolimod                  0.8992     1.2963
dmt_type_overallcurrently on glatiramer                  0.3834     1.5231
dmt_type_overallcurrently on interferon                -18.5547  8482.6306
dmt_type_overallcurrently on natalizumab               -18.9422  9538.3917
dmt_type_overallcurrently on ocrelizumab               -19.3156  9235.5279
dmt_type_overallcurrently on rituximab                 -19.1561 23736.6538
dmt_type_overallcurrently on teriflunomide               0.6742     1.5523
symptoom_cluster1                                       18.5375  2677.3437
symptoom_cluster2                                       15.1054  2753.3333
symptoom_cluster3                                        0.4590     0.8074
                                                     z value Pr(>|z|)
(Intercept)                                           -0.009    0.992
dmt_type_overallcurrently not using any DMT           -0.002    0.998
dmt_type_overallcurrently on alemtuzumab               0.000    1.000
dmt_type_overallcurrently on another drug not listed   0.537    0.591
dmt_type_overallcurrently on cladribine               -0.002    0.999
dmt_type_overallcurrently on dimethyl fumarate        -0.221    0.825
dmt_type_overallcurrently on fingolimod                0.694    0.488
dmt_type_overallcurrently on glatiramer                0.252    0.801
dmt_type_overallcurrently on interferon               -0.002    0.998
dmt_type_overallcurrently on natalizumab              -0.002    0.998
dmt_type_overallcurrently on ocrelizumab              -0.002    0.998
dmt_type_overallcurrently on rituximab                -0.001    0.999
dmt_type_overallcurrently on teriflunomide             0.434    0.664
symptoom_cluster1                                      0.007    0.994
symptoom_cluster2                                      0.005    0.996
symptoom_cluster3                                      0.569    0.570

(Dispersion parameter for binomial family taken to be 1)

    Null deviance: 105.918  on 738  degrees of freedom
Residual deviance:  61.428  on 723  degrees of freedom
AIC: 93.428

Number of Fisher Scoring iterations: 22

Symptoom keelpijn


Call:
glm(formula = sore_throat ~ dmt_type_overall + symptoom_cluster1 + 
    symptoom_cluster2 + symptoom_cluster3, family = "binomial", 
    data = vrouwenRRMS)

Coefficients:
                                                       Estimate Std. Error
(Intercept)                                          -3.207e+01  1.520e+03
dmt_type_overallcurrently not using any DMT           2.374e-02  6.254e-01
dmt_type_overallcurrently on alemtuzumab              1.050e+01  1.045e+04
dmt_type_overallcurrently on another drug not listed -3.580e-01  5.722e-01
dmt_type_overallcurrently on cladribine              -1.308e+00  9.381e-01
dmt_type_overallcurrently on dimethyl fumarate       -4.385e-01  6.212e-01
dmt_type_overallcurrently on fingolimod              -1.105e-01  5.858e-01
dmt_type_overallcurrently on glatiramer              -1.693e-02  7.129e-01
dmt_type_overallcurrently on interferon              -1.049e+00  7.077e-01
dmt_type_overallcurrently on natalizumab             -1.477e-01  6.473e-01
dmt_type_overallcurrently on ocrelizumab             -6.149e-01  6.453e-01
dmt_type_overallcurrently on rituximab                1.532e+01  1.076e+03
dmt_type_overallcurrently on teriflunomide            1.318e+00  9.016e-01
symptoom_cluster1                                    -1.102e-01  2.981e-01
symptoom_cluster2                                     3.252e+01  1.520e+03
symptoom_cluster3                                    -4.485e-01  3.316e-01
                                                     z value Pr(>|z|)
(Intercept)                                           -0.021    0.983
dmt_type_overallcurrently not using any DMT            0.038    0.970
dmt_type_overallcurrently on alemtuzumab               0.001    0.999
dmt_type_overallcurrently on another drug not listed  -0.626    0.532
dmt_type_overallcurrently on cladribine               -1.395    0.163
dmt_type_overallcurrently on dimethyl fumarate        -0.706    0.480
dmt_type_overallcurrently on fingolimod               -0.189    0.850
dmt_type_overallcurrently on glatiramer               -0.024    0.981
dmt_type_overallcurrently on interferon               -1.483    0.138
dmt_type_overallcurrently on natalizumab              -0.228    0.819
dmt_type_overallcurrently on ocrelizumab              -0.953    0.341
dmt_type_overallcurrently on rituximab                 0.014    0.989
dmt_type_overallcurrently on teriflunomide             1.462    0.144
symptoom_cluster1                                     -0.370    0.712
symptoom_cluster2                                      0.021    0.983
symptoom_cluster3                                     -1.352    0.176

(Dispersion parameter for binomial family taken to be 1)

    Null deviance: 635.59  on 738  degrees of freedom
Residual deviance: 292.88  on 723  degrees of freedom
AIC: 324.88

Number of Fisher Scoring iterations: 20

Symptoom kortademigheid


Call:
glm(formula = shortness_breath ~ dmt_type_overall + symptoom_cluster1 + 
    symptoom_cluster2 + symptoom_cluster3, family = "binomial", 
    data = vrouwenRRMS)

Coefficients:
                                                       Estimate Std. Error
(Intercept)                                            -33.2050  2333.0830
dmt_type_overallcurrently not using any DMT             -0.4768     0.7810
dmt_type_overallcurrently on alemtuzumab                10.6389 17198.8893
dmt_type_overallcurrently on another drug not listed    -0.9213     0.7627
dmt_type_overallcurrently on cladribine                 -0.0928     1.0698
dmt_type_overallcurrently on dimethyl fumarate          -1.2596     0.7919
dmt_type_overallcurrently on fingolimod                 -1.4977     0.8045
dmt_type_overallcurrently on glatiramer                 -0.4326     0.9088
dmt_type_overallcurrently on interferon                 -1.3804     0.9785
dmt_type_overallcurrently on natalizumab                -0.6553     0.9088
dmt_type_overallcurrently on ocrelizumab                -1.8365     0.9108
dmt_type_overallcurrently on rituximab                  15.5987  1651.5823
dmt_type_overallcurrently on teriflunomide              -1.9698     1.0451
symptoom_cluster1                                       33.2772  2333.0832
symptoom_cluster2                                        0.8412     1.2358
symptoom_cluster3                                       -0.3680     0.4219
                                                     z value Pr(>|z|)  
(Intercept)                                           -0.014   0.9886  
dmt_type_overallcurrently not using any DMT           -0.610   0.5416  
dmt_type_overallcurrently on alemtuzumab               0.001   0.9995  
dmt_type_overallcurrently on another drug not listed  -1.208   0.2271  
dmt_type_overallcurrently on cladribine               -0.087   0.9309  
dmt_type_overallcurrently on dimethyl fumarate        -1.591   0.1117  
dmt_type_overallcurrently on fingolimod               -1.862   0.0626 .
dmt_type_overallcurrently on glatiramer               -0.476   0.6341  
dmt_type_overallcurrently on interferon               -1.411   0.1583  
dmt_type_overallcurrently on natalizumab              -0.721   0.4709  
dmt_type_overallcurrently on ocrelizumab              -2.016   0.0438 *
dmt_type_overallcurrently on rituximab                 0.009   0.9925  
dmt_type_overallcurrently on teriflunomide            -1.885   0.0595 .
symptoom_cluster1                                      0.014   0.9886  
symptoom_cluster2                                      0.681   0.4961  
symptoom_cluster3                                     -0.872   0.3830  
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

(Dispersion parameter for binomial family taken to be 1)

    Null deviance: 463.10  on 738  degrees of freedom
Residual deviance: 192.88  on 723  degrees of freedom
AIC: 224.88

Number of Fisher Scoring iterations: 21


Discussie resultaat

Onze discriptieve analyse toonden aan dat een aanzienlijk aantal vrouwelijke RRMMS patiënten Covid-19 symptomen rapporteerden. Deze symptomen varieerden van vermoeidheid en keelpijn tot ernstige symptomen zoals kortademigheid en pneumonie. De clusteringanalyse liet zien dat er een duidelijke groeping van symptomen was. Variabele (“not answered”) werden omgezet naar (“no”) wat mogelijks heeft geleidt tot onderschatting van symptomen. Daarnaast is er een observationele bias aangezien de studie ook zelf gerapporteerde symptomen bevatten waarbij subjectieve interpretaties kunnen zijn ontstaan. De clusteringvalidteit geeft ons waardevolle inzichten maar validatie is beperkt omdat we hebben gekozen voor ene binaire dataafstandsmatrix en de Ward.D methode. Waardoor we een compacte cluster kregen. Het is niet wetenschappelijk onderbouwd waarom we hebben gekozen voor dit type clustering (op advies van chatgpt) We hebben enkel gekeken of er covid-19 symptomen aanwezig waren aangezien we er dan vanuit gingen dat men “suspected” of “confirmed” was. Dit is een aaname die we hebben gemaakt aangezien de dataset te complex ging worden voor dit project. De chi-kwadraat test toont geen siginificant verschil tussen de verschillende clusters van Covid-19 symptomen bij vrouwen met RRMMS.

Bespreking groepsproject

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