Have a personal or library account? Click to login
Uncontrolled and severe asthma: predictive factors and comparison of control assessment tools Cover

Uncontrolled and severe asthma: predictive factors and comparison of control assessment tools

Open Access
|Dec 2025

Figures & Tables

Figure 1.

Distribution of Comorbidities among patients with bronchial asthma.
Distribution of Comorbidities among patients with bronchial asthma.

Figure 2.

Control of asthma among the studied patients by GINA score, ACT and ACQ.
Control of asthma among the studied patients by GINA score, ACT and ACQ.

Figure 3.

ROC curve of diagnostic performance of ACT, ACQ scores in prediction of uncontrolled asthma.
ROC curve of diagnostic performance of ACT, ACQ scores in prediction of uncontrolled asthma.

Agreement between GINA, ACT and ACQ scores classifications

VariableGINA scoreKappaP value
ControlledUncontrolled
ACT score
Controlled44 (62.9)14 (10.8)
Uncontrolled26 (37.1)116 (89.2)0.54<0.001*
ACQ score
Controlled48 (68.6)12 (9.2)
Uncontrolled22 (31.4)118 (90.8)0.61<0.001*

Logistic regression analysis of predictors of severe asthma

VariablesUnivariate analysisMultivariable analysis
Un adjusted OR95% CIP valueAdjusted OR95% CIP value
Age group
  <4010.2:1.70.26---
  40−600.50.8:30.80.08
  >605
Gender 0.6:13.20.17---
  Female2.9
  Male1
BMI (kg/m2)0.970.9:1.10.61---
DM8.42.2:32.90.002*4.20.8:21.50.09
Disease duration1.020.97:1.10.51---
Allergen1.10.2:4.90.95---
Air pollution1.020.3:3.80.98---
FEV1<60%12.33.8:40.5<0.001*22.52.7:189.40.004*
FEV1 percent0.960.9:990.006*1.11.03:1.20.006*
FVC0.450.2:10.0530.190.04:0.90.03*
FEV1/FVC ratio0.930.9:0.970.001*0.910.9:0.980.006*
Blood eosinophilia3.41.2:9.60.02*3.70.99:13.80.053

Baseline clinicodemographic data of the studied patients

Variablen = 200 n (%)/mean ± SD median (IQR)
Age (years)35.5 ± 12.937 (25.5:45)
Age group110 (55)
  <4084 (42)
  40−<606 (3)
  ≥60
Gender144 (72)
  Female56 (28)
  Male
Smoking20 (10)
BMI (kg/m2)23.4 ± 4.422.6 (20.1:25.8)
Classification of BMI10 (5)
  Underweight (<18)140 (70)
  Average (18-25)48 (24)
  Obese (>25)2 (1)
  Morbid obesity (>40)
Exposure
Allergen24 (12)
Air pollution162 (81)
Investigations
FEV1< 60%48 (24)
FEV12.4 ± 0.62.4 (2:2.9)
FEV1 percent:74.7 ± 16.576 (64.3:86.8)
FVC3 ± 0.73.1 (2.6:3.4)
FEV1/FVC ratio79.8 ± 14.682 (68.3:91)
High blood eosinophilia54 (27)
>1 severe A.E./year:12 (6)

Final predictors of severe asthma

VariableAdjusted OR95% CIP value
FEV1< 60%:22.72.9:179.40.003*
FEV1/FVC ratio0.910.9:0.970.004*
FEV1 percent1.11.03:1.20.006*
FVC0.190.05:0.80.03*

Diagnostic performance of ACT and ACQ scores in the prediction of uncontrolled asthma according to GINA classification

VariableAUC (%)95% CIP valueCutoff pointSensitivity (%)Specificity (%)PPV (%)NPV (%)Accuracy (%)
ACT790.7:0.9<0.001*18.566.277.184.355.170
ACQ89.60.9:0.94<0.001*0.981.585.791.471.483

Association between asthma severity and key clinicodemographic variables

VariableMild (n = 38, 19%)Moderate (n = 146, 73%)Severe (n = 16, 8%)P value
Age group <40/40–59/≥6028/10/072/70/410/4/20.01*
Female, n (%)20 (52.6)110 (75.3)14 (87.5)0.007*
DM, n (%)07 (4.8)4 (25)0.004*
HTN, n (%)1 (2.6)10 (6.8)4 (25)0.02*
Air pollution exposure, n (%)21 (55.3)128 (87.7)13 (81.3)<0.001*
FEV1<60%, n (%)2 (5.3)34 (23.3)12 (75)<0.001*
FEV1 (L)2.8 ± 0.42.4 ± 0.61.9 ± 0.5<0.001*
FEV1% predicted82.8 ± 13.373.8 ± 1663.5 ± 19.6<0.001*
FVC (L)3.2 ± 0.43.0 ± 0.82.7 ± 0.40.003*
FEV1/FVC ratio89.4 ± 1178.7 ± 14.167.1 ± 14.1<0.001*
High blood eosinophilia, n (%)8 (21.1)36 (24.7)10 (62.5)0.003*
≥2 severe exacerbations/year, n (%)4 (10.5)5 (3.4)3 (18.8)0.03*

Association between asthma control and key clinicodemographic variables

VariableControlled (n = 70)Uncontrolled (n = 130)P value
SABA overuse018 (13.8%)0.001*
GERD12 (17.1%)8 (6.2%)0.01*
Allergen exposure4 (5.7%)20 (15.4%)0.045*
FEV1< 60%8 (11.4%)40 (30.8%)0.002*
FEV1 (L)2.6 ± 0.62.3 ± 0.6<0.001*
FEV1% predicted79.9 ± 16.571.9 ± 15.9<0.001*
FVC (L)3.1 ± 0.53.0 ± 0.80.03*
FEV1/FVC ratio84.5 ± 13.777.2 ± 14.50.002*
≥2 severe012 (9.2%)0.009*
exacerbations/year

Logistic regression analysis of predictors of uncontrolled asthma

VariableUnivariate analysisMultivariable analysis
Un adjusted OR95% CIP valueAdjusted OR95% CIP value
Age group
  <401
  ≥400.80.4:1.40.46---
Gender
  Female1
  Male0.960.5:1.80.9---
Smoking1.30.5:3.50.62---
BMI (kg/m2)0.990.9:1.10.7---
DM5.80.7:45.90.13.60.4:30.50.24
HTN2.30.7:8.30.22---
Disease duration0.990.97:10.73---
Inadequate ICS3.50.8:15.90.111.50.3:8.60.62
Non-prescribed ICS1.10.5:2.30.8---
Allergen30.98:9.20.0544.51.3:15.80.02*
Air pollution0.830.4:1.80.62---
Occurrence of exacerbations0.930.5:1.90.83---
FEV1< 60%3.41.5:7.90.003*1.80.6:5.40.32
FEV10.450.3:0.70.002*0.580.3:1.10.09
FEV1 percent0.970.95:0.990.00110.9:1.030.94
FVC0.810.5:1.20.33---
FEV1/FVC ratio0.960.9:0.990.001*0.990.96:1.030.7
Blood eosinophilia0.940.5:1.80.86---

Final predictors of uncontrolled asthma

VariableAdjusted OR95% CIP value
Allergen5.11.5:17.30.01*
FEV10.550.3:0.990.047*
DOI: https://doi.org/10.2478/pneum-2025-0033 | Journal eISSN: 2247-059X | Journal ISSN: 2067-2993
Language: English
Page range: 101 - 111
Published on: Dec 31, 2025
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open

© 2025 Enas Khalifa Ahmed, K. A. Abdellah Hamed, Doha Mohamed Ismail, Kamal A. Ata, published by Romanian Society of Pneumology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.