4.1 Article

Day-to-Day Variability of Parameters Recorded by Home Noninvasive Positive Pressure Ventilation for Detection of Severe Acute Exacerbations in COPD

出版社

DOVE MEDICAL PRESS LTD
DOI: 10.2147/COPD.S299819

关键词

noninvasive positive pressure ventilation; day-to-day variability; detection; acute exacerbations of COPD

资金

  1. National key RD plan [2020YFC2003700]
  2. National Natural Science Foundation of China [81630001, 81770075, 82041003]
  3. Science and Technology Commission of Shanghai Municipality [20411950402, 20Z11901000, 20XD1401200]
  4. Shanghai Municipal Key Clinical Specialty [shslczdzk02201]
  5. Natural Science Foundation of China [81770039, 82070045]

向作者/读者索取更多资源

By analyzing home NPPV-related parameters in patients with AECOPD and stable COPD, it was found that abnormal values of respiratory rate, daily usage, leaks, and tidal volume may serve as biomarkers for detecting AECOPD. These findings provide insights into early detection of AECOPD.
Background: Home noninvasive positive pressure ventilation (NPPV) can be considered not only as an evidence-based treatment for stable hypercapnic chronic obstructive pulmonary disease (COPD) patients, but also as a predictor for detecting severe acute exacerbations of chronic obstructive pulmonary disease (AECOPD). Methods: In this retrospective observational study, we collected clinical exacerbations information and daily NPPV-related data in a cohort of COPD patients with home NPPV for 6 months. Daily changes in NPPV-related parameters' variability prior to AECOPD were examined using two-way repeated measures ANOVA and individual abnormal values (>75th or <25th percentile of individual baseline parameters) were calculated during 7-day pre-AECOPD period. Multivariate logistic regression was used to identify the independent risk factors associated with AECOPD that then were incorporated into the nomogram. Results: Between January 1, 2018, and January 1, 2020, a total of 102 patients were included and 31 (30.4%) participants experienced hospitalization (AECOPD group) within 6 months. Respiratory rate changed significantly from baseline at 1, 2 or 3 days prior to admission (p<0.001, respectively) in the AECOPD group. The number of days with abnormal values of daily usage, leaks, or tidal volume during the 7-day pre-AECOPD period in the AECOPD group was higher than in the stable group (p<0.001, respectively). On multivariate analysis, 7-day mean respiratory rate (OR 1.756, 95% CI 1.249-2.469), abnormal values of daily use (OR 1.918, 95% CI 1.253-2.934) and tidal volume (OR 2.081, 95% CI 1.380-3.140) within 7 days were independently associated with the risk of AECOPD. Incorporating these factors, the nomogram achieved good concordance indexes of 0.962. Conclusion: Seven-day mean respiratory rate, abnormal values of daily usage, leaks, and tidal volume within the 7-day pre-AECOPD period may be biomarkers for detection of AECOPD.

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