Investigation of respiratory rate in patients with cystic fibrosis using a minimal-impact biomotion system.

BACKGROUND: In this study we tested the hypothesis that in patients with cystic fibrosis (pwCF) respiratory rate (RR) is associated with antibiotic treatment, exacerbation status, forced expiratory volume in one second (FEV1) and C-reactive protein (CRP). METHODS: Between June 2018 and May 2019, we consecutively enrolled pwCF who were referred to our hospital. We determined RR and heart rate (HR) by using the minimal-impact system VitaLog during the hospital stay. Furthermore, we performed spirometry and evaluated CRP. RESULTS: We included 47 patients: 20 with pulmonary exacerbation and 27 without. RR decreased in patients with exacerbation (27.5/min (6.0/min) vs. 24.4/min (6.0/min), p = 0.004) and in patients with non-exacerbation (22.5/min (5.0/min) vs. 20.9/min (3.5/min), p = 0.024). Patients with exacerbation showed higher RR than patients with non-exacerbation both at the beginning (p = 0.004) and at the end of their hospital stay (p = 0.023). During the hospital stay, HR did not change in the total cohort (66.8/min (11.0/min) vs. 66.6/min (12.0/min), p = 0.440). Furthermore, we did not find significant differences between patients with exacerbation and patients with non-exacerbation (67.0/min (12.5/min) vs. 66.5/min (10.8/min), p = 0.658). We observed a correlation of ρ = -0.36 between RR and FEV1. Moreover, we found a correlation of ρ = 0.52 between RR and CRP. CONCLUSION: In pwCF requiring intravenous therapy, respiratory rate is higher at their hospital admittance and decreased by the time of discharge; it is also associated with C-reactive protein. Monitoring RR could provide important information about the overall clinical conditions of pwCF.

Sleep assessment in cystic fibrosis patients using a minimal-impact biomotion system.

PURPOSE: In our study we aimed to analyze sleep variability and activity in patients with cystic fibrosis (CF) during their hospital stay. METHODS: Forty-three CF patients were recruited and have been divided into two subgroups: exacerbated (n = 18) and non-exacerbated (n = 25). During the course of their hospital stay we used VitaLog, a minimal-impact biomotion device, in order to determine total sleep time (TST), time in bed (TIB), sleep efficiency (SE) and intra patient standard deviation (IPSD) of TST. RESULTS: TST was 5.1 h ± 1.5 h and ranged from 0.6h to 7.9 h.TIB was 17.7 h ± 3.8 h and ranged from 5.6h to 23.9 h. SE was 70.0% ± 17.0% and ranged from 13.6% to 98.5%. TST was higher in non-exacerbated patients (5.3 h ± 1.4 h vs. 4.8 h ± 1.6 h, p = 0.008) whereas TIB was lower in non-exacerbated patients (17.0 h ± 3.7 h vs. 18.5 h ± 3.8 h, p = 0.002). We also found that SE was better in non-exacerbated patients (73.1% ± 14.6% vs. 66.6% ± 18.8%, p = 0.002). Furthermore, we observed that IPSD of TST was higher in exacerbated patients (1.3 h ± 0.5 h vs. 0.9 h ± 0.4 h, p = 0.004). CONCLUSION: In general, in CF patients TST was short and SE poor during the night. Furthermore, in the course of their hospital stay patients showed low activity. In exacerbated patients sleep quality was lower compared to non-exacerbated patients.

A novel minimal-contact biomotion method for long-term respiratory rate monitoring.

PURPOSE: In this study, we assessed the diagnostic accuracy of the device VitaLog (SWG Sportwerk GmbH & Co. KG, Dortmund, Germany) for estimation of respiratory rate (RR) variability. METHODS: VitaLog is a minimal-contact biomotion device that is placed under the mattress topper. It senses respiratory effort and body movement using a piezoelectric sensor. Diagnostic accuracy was determined in 103 patients referred to our sleep laboratory for suspected sleep-disordered breathing (SDB). SDB was defined by AHI ≥ 15/h. Results provided by VitaLog were compared with nasal flow measurement obtained by polysomnography (PSG). RESULTS: Diagnostic accuracy of VitaLog was excellent. We obtained a correlation of r = 0.99 and a bias of 0.2 cycles per minute (cpm) between VitaLog and PSG-provided nasal flow. Detection RR variability worked nearly identically in patients with and without SDB. CONCLUSION: VitaLog is an appropriate method for determination of RR variability based on a minimal-contact biomotion sensor. This device is easy to handle, available at low cost, and suitable for long-term monitoring in the hospital or at home.