| Literature DB >> 33307557 |
T Greulich1, V Töpfer2, M Hennig3, C C Orehounig3, K Ams3, C D Mohrlang3, P H Killian3, P Kardos4.
Abstract
BACKGROUND: Accumulating evidence on the role of blood eosinophils as a biomarker prompted the Global Initiative for Chronic Obstructive Lung Disease (GOLD) committee to refine the existing treatment algorithm by incorporating eosinophil counts into treatment recommendations. However, there is a lack of data on when, why and how frequently such blood tests and other measures are being performed by German private respiratory specialists.Entities:
Mesh:
Year: 2020 PMID: 33307557 PMCID: PMC8093015 DOI: 10.1055/a-1266-6602
Source DB: PubMed Journal: Pneumologie ISSN: 0934-8387
Fig. 1Diagnostic measures – results of the doctor’s questionnaire (DQ). *Multiple responses were possible; AADT = alpha-1 antitrypsin deficiency; CT = computed tomography; IgE = immunoglobulin E; N = 27 (number of respiratory specialists)
Doctors’ reasons for the use of diagnostic measures in routine clinical practice – results of the DQ
| Diagnostic measures | BP | Spirometry | Chest X-ray | CAT | mMRC | Eosinophil count |
| Respiratory specialists, n (%) N = 27 | ||||||
|
| ||||||
| For diagnosis | 24 (88.9) | 16 (59.3) | 16 (59.3) | 12 (44.4) | 7 (25.9) | 16 (59.3) |
| Regularly | 26 (96.3) | 19 (70.4) | 14 (51.9) | 17 (63.0) | 6 (22.2) | 3 (11.1) |
| When needed | 5 (18.5) | 8 (29.6) | 13 (48.1) | 7 (25.9) | 5 (18.5) | 10 (37.0) |
|
| ||||||
| Diagnostic for… | ||||||
COPD | 27 (100) | 20 (74.1) | 22 (81.5) | 15 (55.6) | 15 (55.6) | 18 (66.7) |
concomitant diseases | 13 (48.1) | 8 (29.6) | 16 (59.3) | 4 (14.8) | 4 (14.8) | 15 (55.6) |
| Monitoring of… | ||||||
short-term therapy | 24 (88.9) | 24 (88.9) | 7 (25.9) | 17 (63.0) | 12 (44.0) | 4 (14.8) |
long-term therapy | 27 (100) | 23 (85.2) | 13 (48.1) | 20 (74.1) | 15 (55.6) | 8 (29.6) |
| Recommended by guidelines | 9 (33.3) | 8 (29.6) | 3 (11.1) | 5 (18.5) | 5 (18.5) | 3 (11.1) |
|
| ||||||
| None | 0 | 0 | 2 (7.4) | 2 (7.4) | 4 (14.8) | 4 (14.8) |
| Low | 0 | 2 (7.4) | 1 (3.7) | 3 (11.1) | 6 (22.2) | 4 (14.8) |
| Medium | 2 (7.4) | 10 (37.0) | 11 (40.7) | 17 (63.0) | 11 (40.7) | 14 (51.9) |
| High | 25 (92.6) | 15 (55.6) | 13 (48.1) | 5 (18.5) | 6 (22.2) | 5 (18.5) |
Multiple responses were possible; BP = body plethysmography; CAT = COPD assessment test; COPD = chronic obstructive pulmonary disease; DQ: doctor’s questionnaire; mMRC = modified Medical Research Council (dyspnea assessment test); N = 27 (number of respiratory specialists)
Patient demographics and disease characteristics
| Baseline | Patients N = 249 |
| Sex, n (%) | |
Male | 144 (57.8) |
Female | 105 (42.2) |
Age (years), mean (SD) | 66.8 (8.6) |
| Age groups, n (%) | |
< 65 years | 106 (42.6) |
≥ 65 years | 143 (57.4) |
Time since primary diagnosis (years), mean (SD) | 6.4 (4.5) |
| Time groups, n (%) | |
< 2 years, n (%) | 27 (10.8) |
≥ 2 years, n (%) | 222 (89.2) |
| Smoking status at baseline, n (%) | |
Ex-smoker | 160 (64.3) |
Current smoker | 89 (35.7) |
| Pack years (years), mean (SD) | |
Ex-smokers | 33.9 (18.0) |
Current smokers | 35.7 (15.5) |
| Allergic comorbidities, n (%) | |
None | 233 (93.6) |
| Concomitant diseases (system organ classes), n (%) | |
Vascular (e. g. hypertension) | 133 (53.4) |
Respiratory (non-COPD), thoracic and mediastinal | 79 (31.7) |
Cardiac | 69 (27.7) |
None/unknown | 40 (16.1) |
Metabolic (e. g. diabetes mellitus) | 39 (15.7) |
Musculoskeletal | 32 (12.9) |
Endocrine | 23 (9.2) |
|
GOLD 2017
| |
GOLD I – mild | 15 (6.0) |
GOLD II – moderate | 126 (50.6) |
GOLD III – severe | 79 (31.7) |
GOLD IV – very severe | 29 (11.6) |
|
GOLD 2017
| |
Group A: low risk | 34 (13.7) |
Group B: low risk | 136 (54.6) |
Group C: high risk | 42 (16.9) |
Group D: high risk | 37 (14.9) |
| Retrospective 12-month period | |
| Exacerbations per patient, mean (SD) | 0.5 (0.9) |
| Number of exacerbations, n (%) | |
0 | 171 (68.7) |
1 | 56 (22.5) |
≥ 2 | 22 (8.8) |
COPD = chronic obstructive pulmonary disease; SD = standard deviation
Global Initiative for Chronic Obstructive Lung disease (GOLD) 2017; risk classes based on COPD assessment test and exacerbations; N = 249 (number of patients)
Fig. 2Diagnostic measures – patient documentation. *Multiple responses were possible; body plethysmography always included spirometry parameter; AADT = alpha-1 antitrypsin deficiency; CT = computed tomography; IgE = immunoglobulin E; N = 249 (number of patients)
Comparison of diagnostic measures between DQ and patient documentation based on patient population
| Diagnostic measures | Patients recruited by physicians who reported use of the measure | Patients in whom the measures were performed | |||
| Physicians who reported routine use of the measure |
Physicians who reported
| ||||
| N = 249 (%) | % of patients | % of patients |
P-value
| ||
| Body plethysmography | 249 (100) | 72.7 | – |
–
| |
| Chest X-ray | 242 (97.2) | 41.7 | 0 | 0.0436 | |
| Spirometry | 211 (84.7) | 30.3 | 34.2 | 0.7035 | |
| COPD Assessment Test | 199 (79.9) | 67.8 | 38.0 | 0.0002 | |
| AATD screening | 210 (84.3) | 1.0 | 7.7 | 0.0285 | |
| Differential blood count | 203 (81.5) | 6.9 | 6.7 | 0.3171 | |
| Blood eosinophils | 192 (77.1) | 8.3 | 3.5 | 0.3801 | |
| Total IgE | 199 (79.9) | 5.5 | 0 | 0.1274 | |
| Specific IgE | 197 (79.1) | 4.6 | 0 | 0.2107 | |
| Medical examination of the skin | 185 (74.3) | 3.2 | 4.7 | 0.6981 | |
| CT-scan of thorax | 183 (73.5) | 6.6 | 4.5 | 0.7652 | |
| mMRC (dyspnea assessment test) | 107 (43.0) | 50.5 | 0.7 | < 0.0001 | |
AATD = alpha-1 antitrypsin deficiency; CT = computed tomography; DQ = doctor’s questionnaire; IgE = immunoglobulin E
Fisher’s exact test
could not be calculated for this specific comparison