| Literature DB >> 31411278 |
Jonatas Christian Vieira Moura1, Isabel Cristina Gomes Moura1, Guilherme Rache Gaspar2, Guilherme Matos Serretti Mendes3, Bernardo Almeida Vial Faria4, Nulma Souto Jentzsch3, Maria do Carmo Friche Passos1, Amanj Kurdi5,6, Brian Godman5,7,8, Alessandra Maciel Almeida1.
Abstract
OBJECTIVES: Evaluate the use of probiotics as an additional therapy in the treatment of children and adolescents with asthma in Belo Horizonte, MG-Brazil.Entities:
Mesh:
Year: 2019 PMID: 31411278 PMCID: PMC6683305 DOI: 10.6061/clinics/2019/e950
Source DB: PubMed Journal: Clinics (Sao Paulo) ISSN: 1807-5932 Impact factor: 2.365
Clinical and sociodemographic characteristics of the children and adolescents with asthma at the baseline. Belo Horizonte, 2015.
| Variables | Controls (n=16) | Probiotics (n=14) | |
|---|---|---|---|
| Male gender | 10 (62.5%) | 7 (50%) | 0.713F |
| Follow-up time (days) | 63±14 | 63.5±7 | 0.836W |
| Age (years) | 10.2±2.5 | 11±2.5 | 0.383T |
| Body mass index (kg/m2) | 17.8±2.2 | 19.9±3.4 | 0.059T |
| Prior hospitalization | 13 (81.3%) | 6 (42.9%) | 0.057F |
| Prior emergency care | 15 (93.8%) | 9 (64.3%) | 0.072F |
| Positive atopic allergy test | 11 (68.8%) | 10 (71.4%) | 1.000F |
F Fisher’s exact, T Student’s t and W the Wilcoxon Mann-Whitney tests for independent samples.
Figure 1Asthma Control Test scores among patients using and not using probiotics.
Symptom history of the children and adolescents with asthma stratified according to their use of probiotics. Belo Horizonte, 2015.
| Variables | Measures | Controls (n=16) | Probiotics (n=14) | |
|---|---|---|---|---|
| Number of symptoms | Baseline | 2±5.5 | 4±3 | 0.054W |
| 2nd consultation | 1±2.5 | 1±3 | 0.669W | |
| 0.251Wp | 0.023Wp | |||
| Cough | Baseline | 7 (43.8%) | 13 (92.9%) | 0.007F |
| 2nd consultation | 6 (37.5%) | 7 (50%) | 0.713F | |
| 1.000Mc | - | |||
| Wheezing | Baseline | 5 (31.2%) | 11 (78.6%) | 0.014F |
| 2nd consultation | 1 (6.2%) | 3 (21.4%) | 0.316F | |
| 0.371Mc | 0.046Mc | |||
| Tiredness | Baseline | 5 (31.2%) | 10 (71.4%) | 0.066F |
| 2nd consultation | 5 (31.2%) | 4 (28.6%) | 1.000F | |
| 1.000Mc | 0.077Mc | |||
| Chest pain | Baseline | 4 (25%) | 5 (35.7%) | 0.694F |
| 2nd consultation | - | 2 (14.3%) | 0.209F | |
| - | 0.371Mc | |||
| Nighttime symptoms | Baseline | 10 (62.5%) | 10 (71.4%) | 0.709F |
| 2nd consultation | 4 (25%) | 5 (35.7%) | 0.694F | |
| 0.131Mc | 0.131Mc | |||
| Limitations on physical activities | Baseline | 4 (25%) | 5 (35.7%) | 0.694F |
| 2nd consultation | 2 (12.5%) | 4 (28.6%) | 0.378F | |
| 1.000Mc | 1.000Mc | |||
| Absent from school | Baseline | 7 (43.8%) | 7 (50%) | 1.000F |
| 2nd consultation | 4 (25%) | 3 (21.4%) | 1.000F | |
| 0.617Mc | 0.221Mc |
F Fisher’s exact, Mc the McNemar Chi-square, Wp and the Wilcoxon tests for paired samples and W the Wilcoxon Mann-Whitney test for independent samples.
Pre-salbutamol spirometry parameters, as percentages of the predicted values, in the children and adolescents with asthma stratified according to their use of probiotics. Belo Horizonte, 2015.
| Variables | Controls (n=16) | Probiotics (n=14) | |
|---|---|---|---|
| FEV1 (L) | |||
| Baseline | 77.6±16.9 | 79.4±14 | 0.667W |
| 2nd consultation | 81.5±8.4 | 85.5±8.1 | 0.242W |
| 0.301Wp | 0.147Wp | ||
| FVC (L) | |||
| Baseline | 54.1±15.3 | 61.5±26.8 | 0.381T |
| 2nd consultation | 57.4±20.5 | 68.1±25.7 | 0.254T |
| 0.947Tp | 0.396Tp | ||
| Baseline | 104±15.1 | 97±21.6 | 0.910W |
| 2nd consultation | 106.8±10.3 | 106.9±14.1 | 0.920W |
| 0.476Wp | 0.306Wp | ||
| PEF (L/min) | |||
| Baseline | 75.5±19.5 | 74.9±17.3 | 0.928T |
| 2nd consultation | 85.7±20.2 | 86.8±16.5 | 0.871T |
| 0.005Tp | 0.005Tp |
T Student’s t and W the Wilcoxon Mann-Whitney tests for independent samples and Tp Student’s t and Wp the Wilcoxon tests for paired samples.
FEV1 = forced expiratory volume in one second; FVC = forced vital capacity, PEF = peak expiratory flow