Vital Signs Monitoring with Wearable Sensors in High-risk Surgical Patients: A Clinical Validation Study.

BACKGROUND: Vital signs are usually recorded once every 8 h in patients at the hospital ward. Early signs of deterioration may therefore be missed. Wireless sensors have been developed that may capture patient deterioration earlier. The objective of this study was to determine whether two wearable patch sensors (SensiumVitals [Sensium Healthcare Ltd., United Kingdom] and HealthPatch [VitalConnect, USA]), a bed-based system (EarlySense [EarlySense Ltd., Israel]), and a patient-worn monitor (Masimo Radius-7 [Masimo Corporation, USA]) can reliably measure heart rate (HR) and respiratory rate (RR) continuously in patients recovering from major surgery. METHODS: In an observational method comparison study, HR and RR of high-risk surgical patients admitted to a step-down unit were simultaneously recorded with the devices under test and compared with an intensive care unit-grade monitoring system (XPREZZON [Spacelabs Healthcare, USA]) until transition to the ward. Outcome measures were 95% limits of agreement and bias. Clarke Error Grid analysis was performed to assess the ability to assist with correct treatment decisions. In addition, data loss and duration of data gaps were analyzed. RESULTS: Twenty-five high-risk surgical patients were included. More than 700 h of data were available for analysis. For HR, bias and limits of agreement were 1.0 (-6.3, 8.4), 1.3 (-0.5, 3.3), -1.4 (-5.1, 2.3), and -0.4 (-4.0, 3.1) for SensiumVitals, HealthPatch, EarlySense, and Masimo, respectively. For RR, these values were -0.8 (-7.4, 5.6), 0.4 (-3.9, 4.7), and 0.2 (-4.7, 4.4) respectively. HealthPatch overestimated RR, with a bias of 4.4 (limits: -4.4 to 13.3) breaths/minute. Data loss from wireless transmission varied from 13% (83 of 633 h) to 34% (122 of 360 h) for RR and 6% (47 of 727 h) to 27% (182 of 664 h) for HR. CONCLUSIONS: All sensors were highly accurate for HR. For RR, the EarlySense, SensiumVitals sensor, and Masimo Radius-7 were reasonably accurate for RR. The accuracy for RR of the HealthPatch sensor was outside acceptable limits. Trend monitoring with wearable sensors could be valuable to timely detect patient deterioration.

Wireless Remote Home Monitoring of Vital Signs in Patients Discharged Early After Esophagectomy: Observational Feasibility Study.

BACKGROUND: Hospital stays after major surgery are shorter than ever before. Although enhanced recovery and early discharge have many benefits, some complications will now first manifest themselves in home settings. Remote patient monitoring with wearable sensors in the first days after hospital discharge may capture clinical deterioration earlier but is largely uncharted territory. OBJECTIVE: This study aimed to assess the technical feasibility of patients, discharged after esophagectomy, being remotely monitored at home with a wireless patch sensor and the experiences of these patients. In addition, we determined whether observing vital signs with a wireless patch sensor influences clinical decision making. METHODS: In an observational feasibility study, vital signs of patients were monitored with a wearable patch sensor (VitalPatch, VitalConnect Inc) during the first 7 days at home after esophagectomy and discharge from hospital. Vital signs trends were shared with the surgical team once a day, and they were asked to check the patient's condition by phone each morning. Patient experiences were evaluated with a questionnaire, and technical feasibility was analyzed on a daily basis as the percentage of data loss and gap durations. In addition, the number of patients for whom a change in clinical decision was made based on the results of remote vital signs monitoring at home was assessed. RESULTS: Patients (N=20) completed 7 days each of home monitoring with the wearable patch sensor. Each of the patients had good recovery at home, and remotely observed vital signs trends did not alter clinical decision making. Patients appreciated that surgeons checked their vital signs daily (mean 4.4/5) and were happy to be called by the surgical team each day (mean 4.5/5). Wearability of the patch was high (mean 4.4/5), and no reports of skin irritation were mentioned. Overall data loss of vital signs measurements at home was 25%; both data loss and gap duration varied considerably among patients. CONCLUSIONS: Remote monitoring of vital signs combined with telephone support from the surgical team was feasible and well perceived by all patients. Future studies need to evaluate the impact of home monitoring on patient outcome as well as the cost-effectiveness of this new approach.

Advantages of mobile health in the management of adult patients with congenital heart disease.

BACKGROUND: Adults with congenital heart disease (ACHD) often suffer from deterioration related to cardiac arrhythmias, hypertension (HT) or heart failure (HF), frequently occurring between planned visits. Mobile health (mHealth) could improve management through remote monitoring by enabling swift therapeutic response and detecting new diagnoses. METHODS: We performed a prospective study employing mHealth in ACHD patients, weekly monitoring heart rhythm, weight and blood pressure. In case of consecutive threshold exceeding measurements or in case of new diagnosis, patients were contacted and if needed the treating physician was consulted. Inclusion criteria were: palpitations within the last three years (with or without arrhythmia diagnosis) or HF NYHA class ≥ II. We evaluated the detection of recurrences and new diagnosis of arrhythmias, HT and HF, adherence and patient experience (Net Promotor Score (NPS)). RESULTS: In total, 109 of the 268 invited ACHD patients were enrolled, 80 with palpitations, 13 with HF, 16 experienced both, mean age 45 (±13) years, 33% male. Median follow-up was 12 (Q1-Q3;9-14) months, 91 patients initiated all measurements (heart rhythm, weight and blood pressure). In 25% of the patients with diagnosed arrhythmias (14/56) recurrences of arrhythmias were detected; 13% of the patients with undiagnosed palpitations (4/32) were diagnosed with novel arrhythmias. In 38% of the patients with HT at baseline (6/16), treatment adjustment was necessary, 4% of the patients without HT (4/76) received novel HT diagnosis. Diuretics were adjusted in 7% of the patients with HF (2/29). Adherence was > 70% in 77% of the patients that started weekly measurements (70/91). Patients that were female, older of age and experienced palpitations at inclusion were more likely to acquire an adherence of > 70%. NPS was completed by 68 patients, 57 patients (84%) were promotors or neutral, and 11 patients (16%) were critics. CONCLUSIONS: mHealth offers advantages in the management of selected ACHD patients; it enabled early detection of recurrences and new diagnosis of arrhythmias, hypertension and heart failure, which lead to swift therapeutic response or remote reassurance. Furthermore, mHealth was well accepted with high adherence and positive patient experience.

eHealth in patients with congenital heart disease: a review.

INTRODUCTION: Mobile health (mHealth), an advanced form of eHealth is expected to drastically change the field of traditional healthcare in the near future as wearables and mobile applications are rapidly increasing in number. The majority of patients with congenital heart disease (CHD) now reach adulthood and this relative young patient population seems particularly suited for mHealth, as they require lifelong follow-up, experience high morbidity burden, and were raised in this digital era. In patients with acquired heart disease the potential of eHealth has been demonstrated, yet data are still inconclusive. Areas covered: In this review of the current literature we evaluated the effect of various eHealth interventions in patients with CHD. Our search resulted in a mere 10 studies, which comprised mostly of children or adolescents with severe CHD. Home-monitoring of saturation and weight through mHealth was found to be beneficial in patients after palliation procedures, and video conferencing was found to have a positive effect on anxiety and healthcare utilization. Expert commentary: Due to high morbidity and mortality in patients with CHD and the promising results of eHealth interventions, further research is desperately needed.

Reliability of wireless monitoring using a wearable patch sensor in high-risk surgical patients at a step-down unit in the Netherlands: a clinical validation study.

BACKGROUND AND OBJECTIVES: Intermittent vital signs measurements are the current standard on hospital wards, typically recorded once every 8 hours. Early signs of deterioration may therefore be missed. Recent innovations have resulted in 'wearable' sensors, which may capture patient deterioration at an earlier stage. The objective of this study was to determine whether a wireless 'patch' sensor is able to reliably measure respiratory and heart rate continuously in high-risk surgical patients. The secondary objective was to explore the potential of the wireless sensor to serve as a safety monitor. DESIGN: In an observational methods comparisons study, patients were measured with both the wireless sensor and bedside routine standard for at least 24 hours. SETTING: University teaching hospital, single centre. PARTICIPANTS: Twenty-five postoperative surgical patients admitted to a step-down unit. OUTCOME MEASURES: Primary outcome measures were limits of agreement and bias of heart rate and respiratory rate. Secondary outcome measures were sensor reliability, defined as time until first occurrence of data loss. RESULTS: 1568 hours of vital signs data were analysed. Bias and 95% limits of agreement for heart rate were -1.1 (-8.8 to 6.5) beats per minute. For respiration rate, bias was -2.3 breaths per minute with wide limits of agreement (-15.8 to 11.2 breaths per minute). Median filtering over a 15 min period improved limits of agreement of both respiration and heart rate. 63% of the measurements were performed without data loss greater than 2 min. Overall data loss was limited (6% of time). CONCLUSIONS: The wireless sensor is capable of accurately measuring heart rate, but accuracy for respiratory rate was outside acceptable limits. Remote monitoring has the potential to contribute to early recognition of physiological decline in high-risk patients. Future studies should focus on the ability to detect patient deterioration on low care environments and at home after discharge.