| Literature DB >> 29536984 |
Yuan Cao1, Shi-Hua Lin1, Ding Zhu1, Feng Xu1, Zhi-Hua Chen1, Hua-Hao Shen1, Wen Li1.
Abstract
BACKGROUND WeChat is a convenient and popular social medium, and it seems to be an appropriate platform for education and management of patients. This study sought to identify usefulness in clinical control of cough-variant asthma (CVA). MATERIAL AND METHODS A randomized controlled trial was conducted among 80 CVA patients. After being assigned to either the traditional group (TG) or the WeChat group (WG), they received the same inhalation therapy, but patients in WG received additional education and instruction via our public account on the WeChat application. Questionnaires on asthma and chronic cough, data on pulmonary function, blood-related items, follow-up adherence, and Emergency Department (ED) visits were collected at the initial visit and at 3 months. RESULTS A total of 67 participants completed the trial for analysis. FEV1/predicted and FEV1/FVC were significantly increased in WG (p<0.001; p=0.012) after 3 months. PD20-FEV1 was increased in both groups compared with baseline, but more pronounced in WG (p=0.004). ACQ-7 scores were improved in both groups (p=0.024; p<0.001). Participants allocated to WG experienced a greater improvement in AQLQ and LCQ scores, and between-group differences were significant at 3 months (p=0.040; p=0.001). Furthermore, we observed decreases in blood eosinophil count and FeNO in WG (p=0.048; p=0.014), and WG presented better follow-up compliance (p=0.034). CONCLUSIONS Using WeChat as part of treatment and management of CVA can help patients learn about their disease and medications, as well as improve disease control and therapy outcomes.Entities:
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Year: 2018 PMID: 29536984 PMCID: PMC5865451 DOI: 10.12659/msm.907284
Source DB: PubMed Journal: Med Sci Monit ISSN: 1234-1010
Figure 1Flow of participants through the study.
Baseline characteristics of patients with CVA.
| Patient characteristics | Traditional group (n=30) | WeChat group (n=37) | |
|---|---|---|---|
| Anthropometric data | |||
| Gender (female/male) | 24/6 | 28/9 | 0.673 |
| Age, year; mean (SD) | 41.4 (12.0) | 39.1 (14.3) | 0.485 |
| BMI, kg/m2; mean (SD) | 22.3 (2.7) | 22.3 (3.4) | 0.932 |
| Education less than high school, n (%) | 24 (80.0) | 26 (70.3) | 0.363 |
| Duration of CVA, month; mean (SD) | 19.5 (36.0) | 20.4 (33.4) | 0.238 |
| Current smoker, n (%) | 3 (10.0) | 2 (5.4) | 0.477 |
| Current Second-hand smoker, n (%) | 16 (53.3) | 19 (61.3) | 0.872 |
| Atopic, n (%) | 12 (40.0) | 15 (40.5) | 0.964 |
| Allergic rhinitis | 11 | 14 | |
| Urticaria | 2 | 3 | |
| Allergic conjunctivitis | 0 | 1 | |
| Total-IgE, IU/ml; median (25th–75th) | 97.2 (38.0–324.8) | 87.3 (29.1–329.0) | 0.841 |
| FeNO, ppb; median (25th–75th) | 20 (12–31) | 22 (14–43) | 0.420 |
| Blood | |||
| Eosinophils,%; median (25th–75th) | 2.75 (1.33–3.85) | 2.60 (1.25–4.35) | 0.767 |
| Neutrophils,%; median (25th–75th) | 56.0 (50.4–63.2) | 55.6 (51.7–64.4) | 0.850 |
| Pulmonary function | |||
| FEV1/predicted,%; mean (SD) | 83.6 (8.6) | 82.2 (8.7) | 0.442 |
| FEV1/FVC,%; mean (SD) | 81.3 (7.5) | 79.2 (7.3) | 0.188 |
| PD20-FEV1, mg; median, mean (SD) | 0.80 (0.69) | 0.77 (0.65) | 0.865 |
| ACQ-7; mean (SD) | 2.04 (0.81) | 1.96 (0.56) | 0.972 |
| AQLQ; mean (SD) | 5.49 (0.59) | 5.43 (0.76) | 0.796 |
| LCQ; mean (SD) | 12.69 (2.14) | 12.69 (1.65) | 0.920 |
| Social; mean (SD) | 5.00 (1.01) | 4.92 (0.84) | 0.721 |
| Psychological; mean (SD) | 3.71 (0.89) | 3.63 (0.85) | 0.724 |
| Physiological; mean (SD) | 3.98 (0.96) | 4.14 (0.71) | 0.441 |
Data are presented as mean (SDs) unless otherwise stated. BMI – body mass index; FEV1 – forced expiratory volume in 1 second; PD20-FEV1 – the cumulative dose of methacholine provoking a 20 percent decline in FEV1; FVC – forced vital capacity; IgE – immunoglobulin E; FeNO – fractional exhaled nitric oxide; ppb – parts per billion; ACQ – Asthma Control Questionnaire; AQLQ – Asthma Quality of Life Questionnaire; LCQ – Leicester Cough Questionnaire.
Mean changes in outcomes from the baseline (V0) to the end of the study (V1).
| Outcomes | Traditional group (n=30) | WeChat group (n=37) | |||||||
|---|---|---|---|---|---|---|---|---|---|
| V0 | V1 | Mean (95% CI) within-group difference | V0 | V1 | Mean (95% CI) within-group difference | ||||
| Total-IgE (IU/ml) | 191.2 (112.8, 324.8) | 209.2 (115.1, 303.4) | −7.15 (−24.3, 10.0) | 0.923 | 248.4 (117.0, 379.8) | 189.4 (96.5, 282.3) | −59.0 (−130.8, 12.7) | 0.627 | 0. 200 |
| FeNO (ppb) | 24.9 (18.4, 31.5) | 20. 7 (16.3, 25.2) | −4.2 (−7.9, −0.64) | 0.539 | 28.1 (22.4, 33.7) | 17.5 (14.6, 20.5) | −10.5 (−14.5, −6.5) | 0.014 | 0.033 |
| Blood (%) | |||||||||
| Eosinophils | 3.08 (2.19, 3.97) | 2.61 (1.96, 3.25) | −0.47 (−0.99, 0.04) | 0.668 | 3.35 (2.48, 4.23) | 2.20 (1.65, 2.74) | −1.16 (−1.90, −0.14) | 0.048 | 0.183 |
| Neutrophils | 57.1 (54.0, 60.2) | 57.5 (55.8, 59.3) | 0.47 (−2.4, 3.4) | 0.929 | 56.2 (53.3, 59.1) | 58.8 (56.3, 61.2) | 2.6 (0.27, 4.8) | 0.134 | 0.484 |
| Pulmonary function (%) | |||||||||
| FEV1/predicted | 83.64 (80.43, 86.86) | 87.88 (84.14, 91.63) | 4.24 (−0.08, 8.56) | 0.143 | 82.23 (79.32, 85.15) | 93.50 (90.70, 96.31) | 11.27 (8.01, 14.53) | <0.001 | 0.023 |
| FEV1/FVC | 81.25 (78.51, 83.99) | 84.47 (80.82, 88.12) | 3.17 (0.47, 5.89) | 0.177 | 79.20 (76.77, 81.62) | 83.95 (81.12, 86.78) | 4.76 (2.21, 7.30) | 0.012 | 0.654 |
| ACQ-7 | 2.06 (1.76, 2.35) | 1.60 (1.39, 1.81) | −0.46 (−0.69, −0.23) | 0.024 | 2.04 (1.82, 2.25) | 1.38 (1.23, 1.52) | −0.66 (−0.87, −0.45) | <0.001 | 0.145 |
| AQLQ | 5.49 (5.27, 5.71) | 5.70 (5.53, 5.88) | 0.21 (−0.01, 0.43) | 0.128 | 5.43 (5.18, 5.69) | 6.04 (5.92, 6.16) | 0.60 (0.38, 0.83) | <0.001 | 0.040 |
| LCQ (total) | 12.69 (11.89, 13.49) | 13.51 (12.82, 14.20) | 0.82 (0.45, 1.19) | 0.117 | 12.69 (12.14, 13.24) | 14.43 (13.98, 14.88) | 1.74 (1.29, 2.19) | <0.001 | 0.001 |
| Social | 5.00 (4.62, 5.38) | 5.34 (4.81, 5.48) | 0.14 (−0.09, 0.38) | 0.661 | 4.92 (4.64, 5.20) | 5.33 (5.10, 5.57) | 0.41 (0.20, 0.63) | 0.297 | 0.050 |
| Psychological | 3.71 (3.39, 4.04) | 4.25 (3.97, 4.53) | 0.54 (0.30, 0.79) | 0.006 | 3.63 (3.34, 3.91) | 4.63 (4.35, 4.92) | 1.00 (0.68, 1.33) | <0.001 | 0.044 |
| Physiological | 3.98 (3.63, 4.34) | 4.12 (3.82, 4.41) | 0.13 (−0.08, 0.35) | 0.871 | 4.14 (3.90, 4.38) | 4.47 (4.28, 4.65) | 0.32 (0.16, 0.48) | 0.053 | 0.096 |
Data are presented as mean (95% CI) unless otherwise stated.
Figure 2Change of PD20-FEV1 in 2 groups.
Figure 3Effects of WeChat intervention on (A): LCQ; (B) Social, psychological and physiological scores of LCQ.
Figure 4Follow-up adherence and ED visits (or hospitalization) in 2 groups.
Detail of patients withdraw.
| Reasons | Traditional group (n=10) | WeChat group (n=3) |
|---|---|---|
| Pregnant | 2 | 0 |
| Death (car accident) | 1 | 0 |
| Unable to finish bronchial provocation test | 2 | 0 |
| Unable to attend | 2 | 1 |
| Diagnosed with cancer | 0 | 1 |
| Lost contact | 1 | 1 |
| Reason not given | 2 | 0 |