| Literature DB >> 32141261 |
Jiangtao Lin1, Bin Xing2, Huaping Tang3, Lan Yang4, Yadong Yuan5, Yuhai Gu6, Ping Chen7, Xiaoju Liu8, Jie Zhang9, Huiguo Liu10, Changzheng Wang11, Wei Zhou12, Dejun Sun13, Yiqiang Chen14, Zhuochang Chen15, Mao Huang16, Qichang Lin17, Chengping Hu18, Xiaohong Yang19, Jianmin Huo20, Xianwei Ye21, Xin Zhou22, Ping Jiang23, Wei Zhang24, Yijiang Huang25, Luming Dai26, Rongyu Liu27, Shaoxi Cai28, Jianying Xu29, Jianying Zhou30.
Abstract
PURPOSE: Details of patients hospitalized for asthma exacerbation in mainland China are lacking. To improve disease control and reduce economic burden, a large sample survey among this patient population is indispensable. This study aimed to investigate the clinical characteristics and outcomes of such patients.Entities:
Keywords: Asthma; disease progression; hospitalization; inpatients; medication adherence; mortality; risk factors; seasonal variation
Year: 2020 PMID: 32141261 PMCID: PMC7061152 DOI: 10.4168/aair.2020.12.3.485
Source DB: PubMed Journal: Allergy Asthma Immunol Res ISSN: 2092-7355 Impact factor: 5.764
Fig. 1Flowchart of the study.
Demographic and clinical characteristics of the study patients
| Factors | All (n = 3,240) | Mild and moderate asthma exacerbation (n = 2,577) | Severe and life-threatening asthma exacerbation (n = 652) | ||
|---|---|---|---|---|---|
| Age (yr) | 57 (44–67) | 57 (44–64) | 59 (49.3–68) | 0.40 | |
| Sex | |||||
| Male | 1,369 (42.3) | 1,067 (41.4) | 299 (45.9) | 0.04 | |
| Disease course (yr) | 8 (2–20) | 7 (2–20) | 10 (3–20) | < 0.01 | |
| Smoking status (n = 3,230) | |||||
| Current smokers | 337 (10.4) | 252 (9.8) | 84 (12.9) | 0.02 | |
| Ex-smokers | 433 (13.4) | 319 (12.4) | 114 (17.5) | < 0.01 | |
| Non-smokers | 2,470 (76.2) | 2,006 (77.8) | 454 (69.6) | < 0.01 | |
| History of hospitalization or emergency care visit for asthma in the past year | 1,359 (41.9) | 1,061 (41.2) | 294 (45.1) | 0.07 | |
| Treatment before admission | |||||
| Using daily controllers regularly | 907 (28.0) | 711 (27.6) | 194 (29.8) | 0.27 | |
| Not currently using ICS | 1,287 (39.7) | 1,031 (40.0) | 254 (39.0) | 0.62 | |
| Currently using or having recently stopped using OCS | 161 (5.0) | 119 (4.6) | 41 (6.3) | 0.08 | |
| History of non-adherence | 1,067 (32.9) | 847 (32.9) | 216 (33.1) | 0.09 | |
| Comorbidities | |||||
| Hypertension | 733 (22.6) | 544 (21.1) | 187 (28.7) | < 0.01 | |
| Diabetes mellitus | 248 (7.7) | 186 (7.2) | 61 (9.4) | 0.08 | |
| Coronary heart disease | 248 (7.7) | 196 (7.6) | 51 (7.8) | 0.80 | |
| COPD | 421 (13.0) | 298 (11.6) | 123 (18.9) | < 0.01 | |
| Bronchiectasis | 119 (3.7) | 92 (3.6) | 27 (4.1) | 0.50 | |
| OSAHS | 56 (1.7) | 47 (1.8) | 8 (1.2) | 0.30 | |
| Allergic rhinitis | 477 (14.7) | 381 (14.8) | 94 (14.4) | 0.81 | |
| Sinusitis | 109 (3.4) | 81 (3.1) | 28 (4.3) | 0.15 | |
| Nasal polyps | 37 (1.1) | 26 (1.0) | 11 (1.7) | 0.15 | |
| Food allergy | 49 (1.5) | 32 (1.2) | 17 (2.6) | 0.01 | |
| GERD | 46 (1.4) | 42 (1.6) | 4 (0.6) | 0.08 | |
| Anxiety/depression | 24 (0.7) | 21 (0.8) | 3 (0.5) | 0.50 | |
| Triggering factor | |||||
| Acute upper airway infection | 1,370 (42.3) | 1,087 (42.2) | 283 (43.4) | 0.60 | |
| Weather changes | 738 (22.8) | 606 (23.5) | 133 (20.4) | 0.10 | |
| Noxious gas | 140 (4.3) | 111 (4.3) | 29 (4.4) | 0.90 | |
| Allergen exposure | 115 (3.5) | 100 (3.9) | 15 (2.3) | 0.07 | |
| Strenuous exercise | 57 (1.8) | 50 (1.9) | 7 (1.1) | 0.20 | |
| Air pollution | 49 (1.5) | 41 (1.6) | 8 (1.2) | 0.60 | |
Values are presented as median with quartiles or number of patients (%).
ICS, inhaled corticosteroid; OCS, oral corticosteroid; COPD, chronic obstructive pulmonary disease; OSAHS, obstructive sleep apnea and hypoventilation syndrome; GERD, gastroesophageal reflux disease.
Sex and smoking history differences in different age groups
| Age group (yr) | Sex | Smoking history | ||
|---|---|---|---|---|
| Male | Female | Male | Female | |
| ≤ 20 | 40 (42.6) | 54 (57.4) | 7 (17.5) | 1 (1.9) |
| 20–40 | 203 (40.5) | 298 (59.5) | 90 (44.3) | 6 (2.0) |
| 40–60 | 640 (40.2) | 954 (59.8) | 332 (51.9) | 25 (2.6) |
| ≥ 60 | 486 (46.2) | 565 (53.8) | 279 (57.4) | 30 (5.3) |
Values are presented as number of patients (%).
Fig. 2Sex proportions in patients with mild-to-moderate exacerbation and severe-to-life-threatening exacerbation discriminated by the smoking history.
Multivariate analysis of risk factors for the severity of asthma exacerbation (mild or moderate vs. severe or life-threatening)
| Factors | OR | 95% CI | |
|---|---|---|---|
| Age (yr) | 0.998 | 0.992–1.005 | 0.58 |
| Sex | 0.929 | 0.746–1.156 | 0.51 |
| Disease course (yr) | 1.006 | 1.000–1.012 | 0.07 |
| Smoking history | 1.538 | 1.205–1.962 | < 0.01 |
| History of hospitalization or emergency care visit for asthma in the past year | 1.123 | 0.941–1.339 | 0.20 |
| Hypertension | 1.437 | 1.163–1.775 | < 0.01 |
| COPD | 1.601 | 1.256–2.039 | < 0.01 |
| Food allergy | 2.231 | 1.221–4.075 | 0.01 |
OR, odds ratio; CI, confidence interval; COPD, chronic obstructive pulmonary disease.
Fig. 3Seasonality of hospital admission for asthma exacerbation.
%MRH, % of monthly respiratory hospitalizations.
Details of patients who died during the study period
| No. | Age (yr) | Sex | Month of admission | ICU admission | Mechanical ventilation | Cause of death | Comorbidities |
|---|---|---|---|---|---|---|---|
| 1 | 94 | F | January | Y | N | Acute myocardial infarction | COPD, CAD, CKD |
| 2 | 69 | M | January | Y | Y | Tension pneumothorax | TB |
| 3 | 68 | F | January | N | N | Not clear | IPA |
| 4 | 75 | M | March | N | N | Sudden death | AR |
| 5 | 59 | F | November | N | Y | Not clear | HTN, DM |
| 6 | 81 | F | November | N | N | Cardiac shock | HTN, DM, CAD |
| 7 | 54 | M | February | N | N | Not clear | Food allergy |
| 8 | 64 | F | November | N | N | Respiratory failure | N/A |
ICU, intensive care unit; F, female; M, male; COPD, chronic obstructive pulmonary disease; CAD, coronary artery disease; CKD, chronic kidney disease; TB, pulmonary tuberculosis; IPA, invasive pulmonary aspergillosis; AR, allergic rhinitis; DM, diabetes mellitus; N/A, not applicable.