| Literature DB >> 36078947 |
Giulia Brindisi1,2, Alberto Spalice1, Caterina Anania1, Flaminia Bonci1, Alessandra Gori1, Martina Capponi1, Bianca Cinicola1,3, Giovanna De Castro1, Ivana Martinelli1, Federica Pulvirenti4, Luigi Matera1, Enrica Mancino1, Cristiana Alessia Guido1, Anna Maria Zicari1.
Abstract
BACKGROUND: Between June and July 2020, we evaluated children and adolescents concerning post-infection surveillance after a COVID-19 positivity during the lockdown. We aimed to assess whether the anamnestic presence of allergies could correlate with the presence of SARS-CoV-2 symptoms, and in particular with anosmia.Entities:
Keywords: COVID-19; SARS-CoV-2 infection; active anterior rhinomanometry; allergies; anosmia; body mass index; disease duration; mean nasal flow; pandemic; pediatric
Year: 2022 PMID: 36078947 PMCID: PMC9457095 DOI: 10.3390/jcm11175019
Source DB: PubMed Journal: J Clin Med ISSN: 2077-0383 Impact factor: 4.964
Characteristics of the study population related to all the enrolled patients.
| Characteristic | Value (*) |
|---|---|
| 296 (100) | |
|
| 140 (47.30) |
|
| 156 (52.70) |
| 9.86 ± 4.20 | |
|
| 10.02 ± 4.24 |
|
| 9.72 ± 4.18 |
| 39.38 ± 17.96 | |
|
| 39.13 ± 17.19 |
|
| 39.60 ± 18.68 |
| 139.23 ± 24.74 | |
|
| 138.54 ± 22.71 |
|
| 139.84 ± 26.49 |
| 19.06 ± 3.95 | |
|
| 19.26 ± 4.16 |
|
| 18.89 ± 3.75 |
| 85.38 ± 19.47 | |
|
| 86.78 ± 18.24 |
|
| 84.11 ± 20.51 |
BMI = body mass index; mNF = mean nasal flow. * all comparisons have no statistical significance.
Characteristics of all the enrolled allergic patients.
| Allergy Characteristics | Value |
|---|---|
| Allergics, | 105 (35.47) |
|
| 44 (31.43) |
|
| 61 (39.10) |
| Allergics with at least two symptoms, | 41 (39.05) |
| Allergics with at least three symptoms, | 10 (9.52) |
| Allergic symptoms, | |
|
| 79 (75.24) |
|
| 20 (19.05) |
|
| 22 (20.95) |
|
| 18 (17.14) |
|
| 17 (16.19) |
Characteristics of COVID-19 infection.
| COVID-19 Characteristics | ||
|---|---|---|
| COVID-19 with symptoms, | 222 | (75.00) |
| 168 | (75.68) | |
|
| 125 | (56.31) |
|
| 96 | (43.24) |
|
| 89 | (40.09) |
|
| 60 | (27.03) |
|
| 46 | (20.72) |
|
| 42 | (18.92) |
|
| 41 | (18.47) |
|
| 34 | (15.32) |
|
| 19 | (8.56) |
|
| 13 | (5.86) |
|
| 1 | (0.45) |
| Disease duration, mean ± SD, day | 20.09 ± 8.05 | |
SD = Standard Deviation.
Relationship between allergies and symptomatic COVID-19.
| COVID-19 | |||||
|---|---|---|---|---|---|
|
|
|
| |||
|
|
|
|
| ||
|
| 55 | 28.8% | 136 | 71.2% | |
|
| 19 | 18.1% | 86 | 81.9% | |
|
| 74 | 25.0% | 222 | 75.0% | 0.042 |
The comparison between allergies and symptomatic COVID-19 (SC) highlights a higher percentage presence of SC in the allergic group.
Comparison between allergies and anosmia.
| No Anosmia | Anosmia | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
|
|
|
| |||||
|
| 71 | 48.6% | 75 | 51.4% | 146 | 24 | 53.3% | 21 | 46.7% | 45 |
|
| 56 | 62.2% | 34 | 37.8% | 90 | 5 | 33.3% | 10 | 66.7% | 15 |
|
| 127 | 53.8% | 109 | 46.2% | 236 | 29 | 48.3% | 31 | 51.7% | 60 |
The comparison between allergies and anosmia presents a lower percentage of anosmia in the group of allergic males statistically significant (p = 0.007), as shown in the following Table 6.
Allergy risk estimation for anosmia.
| ANOSMIA | |||
|---|---|---|---|
|
|
|
|
|
|
| 0.26 (0.09–0.73) | 1.05 (0.44–2.47) | 0.54 (0.28–1.00) |
|
| 0.007 | 0.91 | 0.05 |
Allergy risk estimation for anosmia by gender.
Comparison between the mean values of BMI, age, and disease duration considered in the group with and without anosmia.
|
|
|
| |
|---|---|---|---|
|
|
| ||
| 18.38 ± 3.48 | 21.76 ± 4.52 | 0.001 | |
| 9.19 ± 4.05 | 12.49 ± 3.77 | 0.001 | |
| 19.33 ± 8.07 | 23.10 ± 9.52 | 0.006 | |
Comparison between the mean values of the variables considered in two groups, with and without anosmia. BMI = body mass index.
Association between anosmia and several independent variables: Logistic regression.
| Variables in the Equation (Logistic Regression) | IC 95% per Exp(B) | |||||||
|---|---|---|---|---|---|---|---|---|
| B | S. E | Wald Test | gf | Exp(B) | Inf. | Sup. | ||
| Gender | 0.158 | 0.332 | 0.227 | 1 | 0.634 | 1.171 | 0.611 | 2.246 |
| BMI | 0.148 | 0.047 | 10.013 | 1 | 0.002 | 1.159 | 1.058 | 1.270 |
| Allergy | 0.981 | 0.370 | 7.047 | 1 | 0.008 | 2.667 | 1.293 | 5.504 |
| Disease duration | 0.045 | 0.019 | 5.474 | 1 | 0.019 | 1.046 | 1.007 | 1.085 |
| Flow | −1.464 | 0.862 | 2.885 | 1 | 0.089 | 0.231 | 0.043 | 1.253 |
| Age | 0.119 | 0.056 | 4.583 | 1 | 0.032 | 1.126 | 1.010 | 1.256 |
| Costant | −6.027 | 1.345 | 20.074 | 1 | 0.000 | 0.002 | ||
Logistic regression model with dependent variable Y (anosmia) = 1 (yes) or 0 (not) and covariates: gender, BMI, allergies, COVID-19 disease duration, flow, and age. S. E = standard error; gf = grade of freedom; BMI = body mass index.