| Literature DB >> 33001407 |
Claudia Altamura1, Sabina Cevoli2, Cinzia Aurilia3, Gabriella Egeo3, Luisa Fofi3, Paola Torelli4, Nicoletta Brunelli5, Giulia Pierangeli2,6, Valentina Favoni2, Adriana Fallacara5, Umberto Pensato2,6, Piero Barbanti3, Fabrizio Vernieri5.
Abstract
OBJECTIVES: The COVID-19 pandemic and the consequent lockdown came as a storm disrupting people's everyday life. This study aimed at observing whether the COVID-19 related lockdown influenced migraine frequency and disability in migraine patients on therapy with monoclonal antibodies inhibiting the CGRP pathway.Entities:
Keywords: CGRP; COVID-19; Erenumab; Galcanezumab; Migraine
Mesh:
Substances:
Year: 2020 PMID: 33001407 PMCID: PMC7527669 DOI: 10.1007/s10072-020-04767-x
Source DB: PubMed Journal: Neurol Sci ISSN: 1590-1874 Impact factor: 3.307
Work, household and COVID related issues questionnaire
| Question | |
|---|---|
| Working status (Q1) | |
| Since lockdown: | a. I take advantage of smart working |
| b. I go to work | |
| c. I had economic losses | |
| d. I was unemployed/retired before lockdown | |
| Household (Q2) | |
| At home | a. I live alone |
| b. I live with my partner/family | |
| c. I live with family and kids | |
| Family loss (Q3) | |
| Did you lose any family member because of COVID-19? | a. Yes |
| b. No | |
| Flu symptoms (Q4) | |
| Did you have flu symptoms? | a. Yes |
| b. No | |
| COVID-19 diagnosis (Q5) | |
| Were you diagnosed COVID-19? | a. Yes |
| b. No | |
Patient characteristics
| T-free | T-lock | ||
|---|---|---|---|
| Sex (F, %) | 77.6 | ||
| Age (mean, SD) | 49.3 (10) | ||
| MMDs (mean, SD) | 10.5 (7.6) | 9.8 (7.6) | .024 |
| HIT-6 (mean, SD) | 59.3 (8.3) | 57.8 (8.8) | .009 |
| MPI (mean, SD) | 11.6 (11.5) | 11.1 (11.) | .114 |
Fig. 1a Percentage distribution of answers to question 1. b Percentage distribution of answers to question 2
Binary logistic regression analysis on MMDs reduction from T-free to T-lock
| B | S.E. | Wald | df | Sign | Exp (B) | 95% C.I. per EXP(B) | ||
|---|---|---|---|---|---|---|---|---|
| Lower | Upper | |||||||
| Sex | − .582 | .434 | 1.796 | 1 | .180 | .559 | .239 | 1.309 |
| Age | − .002 | .018 | .013 | 1 | .910 | .998 | .963 | 1.034 |
| Chronic Migraine | .008 | .399 | .000 | 1 | .984 | 1.008 | .461 | 2.204 |
| Work—Q1 | − .329 | .178 | 3.415 | 1 | .065 | .720 | .508 | 1.020 |
| Household—Q2 | .493 | .287 | 2.940 | 1 | .086 | 1.637 | .932 | 2.874 |
| Steady-state | − 1.210 | .446 | 7.349 | 1 | .007 | .298 | .124 | .715 |
| Costant | 1.011 | 1.315 | .591 | 1 | .442 | 2.748 | ||
S.E. standard error, df degrees of freedom, Sign significance
Binary logistic regression analysis on MPI reduction from T-free to T-lock
| B | S.E. | Wald | df | Sign | Exp (B) | 95% C.I. per EXP(B) | ||
|---|---|---|---|---|---|---|---|---|
| Lower | Upper | |||||||
| Sex | − 1.209 | .435 | 7.730 | 1 | .005 | .298 | .127 | .700 |
| Age | .010 | .018 | .335 | 1 | .563 | 1.010 | .976 | 1.046 |
| Work—Q1 | − .029 | .172 | .028 | 1 | .868 | .972 | .693 | 1.362 |
| Household—Q2 | .020 | .278 | .005 | 1 | .943 | 1.020 | .591 | 1.760 |
| Steady state | − .722 | .412 | 3.080 | 1 | .079 | .486 | .217 | 1.088 |
| Costant | .941 | 1.247 | .570 | 1 | .450 | 2.563 | ||
S.E. standard error, df degrees of freedom, Sign significance