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Insights into postoperative respiration by using continuous wireless monitoring of respiratory rate on the postoperative ward: a cohort study.

ABSTRACT: Change of respiratory rate (RespR) is the most powerful predictor of clinical deterioration. Brady- (RespR???8) and tachypnea (RespR???31) are associated with serious adverse events. Simultaneously, RespR is the least accurately measured vital parameter. We investigated the feasibility of continuously measuring RespR on the ward using wireless monitoring equipment, without impeding mobilization. Continuous monitoring of vital parameters using a wireless SensiumVitals® patch was installed and RespR was measured every 2 mins. We defined feasibility of adequate RespR monitoring if the system reports valid RespR measurements in at least 50% of time-points in more than 80% of patients during day- and night-time, respectively. Data from 119 patients were analysed. The patch detected in 171,151 of 227,587 measurements valid data for RespR (75.2%). During postoperative day and night four, the system still registered 68% and 78% valid measurements, respectively. 88% of the patients had more than 67% of valid RespR measurements. The RespR's most frequently measured were 13-15; median RespR was 15 (mean 16, 25th- and 75th percentile 13 and 19). No serious complications or side effects were observed. We successfully measured electronically RespR on a surgical ward in postoperative patients continuously for up to 4 days post-operatively using a wireless monitoring system. While previous studies mentioned a digit preference of 18-22 for RespR, the most frequently measured RespR were 13-16. However, in the present study we did not validate the measurements against a reference method. Rather, we attempted to demonstrate the feasibility of achieving continuous wireless measurement in patients on surgical postoperative wards. As the technology used is based on impedance pneumography, obstructive apnoea might have been missed, namely in those patients receiving opioids post-operatively.

SUBMITTER: Posthuma LM

PROVIDER: S-EPMC7548277 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature

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Insights into postoperative respiration by using continuous wireless monitoring of respiratory rate on the postoperative ward: a cohort study.

Posthuma Linda M LM Visscher Maarten J MJ Lirk Philipp B PB van Dijkum Els J M Nieveen EJMN Hollmann Markus W MW Preckel Benedikt B

Journal of clinical monitoring and computing 20191113 6

Change of respiratory rate (RespR) is the most powerful predictor of clinical deterioration. Brady- (RespR ≤ 8) and tachypnea (RespR ≥ 31) are associated with serious adverse events. Simultaneously, RespR is the least accurately measured vital parameter. We investigated the feasibility of continuously measuring RespR on the ward using wireless monitoring equipment, without impeding mobilization. Continuous monitoring of vital parameters using a wireless SensiumVitals® patch was installed and Res ...[more]

PMID: 31722079

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Project description:BackgroundTachypnea is among the earliest signs of pulmonary decompensation. Contactless continuous respiratory rate monitoring might be useful in isolated COVID-19 patients admitted in wards. We therefore aimed to determine whether continuous monitoring of respiratory patterns in hospitalized patients with COVID-19 predicts subsequent need for increased respiratory support.MethodsSingle-center pilot prospective cohort study in COVID-19 patients who were cared for in routine wards. COVID-19 patients who had at least one escalation of pulmonary management were matched to three non-escalated patients. Contactless respiratory monitoring was instituted after patients enrolled, and continued for 15 days unless hospital discharge, initiation of invasive mechanical ventilation, or death occurred. Clinicians were blinded to respiratory rate data from the continuous monitor. The exposures were respiratory features over rolling periods of 30 min, 24 h, and 72 h before respiratory care escalation. The primary outcome was a subsequent escalation in ventilatory support beyond a Venturi mask.ResultsAmong 125 included patients, 13 exhibited at least one escalation and were each matched to three non-escalated patients. A total of 28 escalation events were matched to 84 non-escalation episodes. The 30-min mean respiratory rate in escalated patients was 23 breaths per minute (bpm) ranging from 13 to 40 bpm, similar to the 22 bpm in non-escalated patients, although with less variability (range 14 to 31 bpm). However, higher respiratory rate variability, especially skewness over 1 day, was associated with higher incidence of escalation events. Our overall model, based on continuous data, had a moderate accuracy with an AUC 0.81 (95%CI: 0.73, 0.88) and a good specificity 0.93 (95%CI: 0.87, 0.99).ConclusionOur pilot observational study suggests that respiratory rate variability as detected with continuous monitoring is associated with subsequent care escalation during the following 24 h. Continuous respiratory monitoring thus appears to be a valuable increment over intermittent monitoring.Strengths and limitationsOur study was the initial evaluation of Circadia contactless respiratory monitoring in COVID-19 patients who are at special risk of pulmonary deterioration. The major limitation is that the analysis was largely post hoc and thus needs to be confirmed in an out-of-sample population.

Project description:Rationale: Monitoring patients’ vital signs is done to detect clinical deterioration. For this, the MEWS, a scoring list comprising seven vital signs measured by nursing staff, is used. Although the MEWS provides relevant data on patients’ health status, the interval measurements may not capture early deterioration of vital signs, especially during the night. As a result, unsafe situations may occur such as periods of low oxygen saturation and cardiac arrhythmias, which are known to complicate postoperative course. Besides, this way of measuring vital signs may be stressful for patients and disturbs patients’ sleep. New technology such as ViSi Mobile and HealthPatch allows for remote continuous monitoring of vital signs using wearable devices transmitting relevant data to nurses and clinicians. With this, the investigators think that clinical deterioration may be detected in an early phase and reduce nurse work load and patient distress. Objective: to investigate the feasibility of wearable devices on the general ward. Study design: feasibility study. Study population: adult patients hospitalized on the internal medicine ward and adult postoperative patients on the surgical ward. Intervention: patients in the intervention groups will be randomized in one of the two groups. Patients in the group 1 will wear ViSi Mobile; patients in group 2 will wear the HealthPatch. Wearable devices will be worn for at least three days. Regular MEWS measurements take place at usual time points. Main study parameters/endpoints: Evaluation with patient and care givers (primary outcome measure), MEWS calculations, time between alarm (continuous data) and next regular MEWS measurement (nurse), intervention by nurse after alarm, admission to ICU, complications, side effects of devices, STAI scores, and PCS scores will be documented. Nature and extent of the burden and risks associated with participation, benefit and group relatedness: Patients will wear one device for at least three days. Devices can be uncomfortable by being heavy or the patches can start itching. More measurements by nurses can take place when indicated, for example after alarms. The participating patients will fill out the STAI on daily basis and the PCS on the last day of hospitalization. Both questionnaires will take a few minutes to complete. Patients could benefit from early detection of clinical deterioration and early corrective interventions or ICU admissions.

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Insights into postoperative respiration by using continuous wireless monitoring of respiratory rate on the postoperative ward: a cohort study.

Publications

Insights into postoperative respiration by using continuous wireless monitoring of respiratory rate on the postoperative ward: a cohort study.

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