Enhancing discharge decision-making through continuous monitoring in an acute admission ward: a randomized controlled trial.

In Acute Admission Wards, vital signs are commonly measured only intermittently. This may result in failure to detect early signs of patient deterioration and impede timely identification of patient stability, ultimately leading to prolonged stays and avoidable hospital admissions. Therefore, continuous vital sign monitoring may improve hospital efficacy. The objective of this randomized controlled trial was to evaluate the effect of continuous monitoring on the proportion of patients safely discharged home directly from an Acute Admission Ward. Patients were randomized to either the control group, which received usual care, or the sensor group, which additionally received continuous monitoring using a wearable sensor. The continuous measurements could be considered in discharge decision-making by physicians during the daily bedside rounds. Safe discharge was defined as no unplanned readmissions, emergency department revisits or deaths, within 30 days after discharge. Additionally, length of stay, the number of Intensive Care Unit admissions and Rapid Response Team calls were assessed. In total, 400 patients were randomized, of which 394 completed follow-up, with 196 assigned to the sensor group and 198 to the control group. The proportion of patients safely discharged home was 33.2% in the sensor group and 30.8% in the control group (p = 0.62). No significant differences were observed in secondary outcomes. The trial was terminated prematurely due to futility. In conclusion, continuous monitoring did not have an effect on the proportion of patients safely discharged from an Acute Admission Ward. Implementation challenges of continuous monitoring may have contributed to the lack of effect observed. Trial registration: https://clinicaltrials.gov/ct2/show/NCT05181111 . Registered: January 6, 2022.

Continuous monitoring of patients in and after the acute admission ward to improve clinical pathways: study protocol for a randomized controlled trial (Optimal-AAW).

BACKGROUND: Because of high demand on hospital beds, hospitals seek to reduce patients' length of stay (LOS) while preserving the quality of care. In addition to usual intermittent vital sign monitoring, continuous monitoring might help to assess the patient's risk of deterioration, in order to improve the discharge process and reduce LOS. The primary aim of this monocenter randomized controlled trial is to assess the effect of continuous monitoring in an acute admission ward (AAW) on the percentage of patients who are discharged safely. METHODS: A total of 800 patients admitted to the AAW, for whom it is equivocal whether they can be discharged directly after their AAW stay, will be randomized to either receive usual care without (control group) or with additional continuous monitoring of heart rate, respiratory rate, posture, and activity, using a wearable sensor (sensor group). Continuous monitoring data are provided to healthcare professionals and used in the discharge decision. The wearable sensor keeps collecting data for 14 days. After 14 days, all patients fill in a questionnaire to assess healthcare use after discharge and, if applicable, their experience with the wearable sensor. The primary outcome is the difference in the percentage of patients who are safely discharged home directly from the AAW between the control and sensor group. Secondary outcomes include hospital LOS, AAW LOS, intensive care unit (ICU) admissions, Rapid Response Team calls, and unplanned readmissions within 30 days. Furthermore, facilitators and barriers for implementing continuous monitoring in the AAW and at home will be investigated. DISCUSSION: Clinical effects of continuous monitoring have already been investigated in specific patient populations for multiple purposes, e.g., in reducing the number of ICU admissions. However, to our knowledge, this is the first Randomized Controlled Trial to investigate effects of continuous monitoring in a broad patient population in the AAW. TRIAL REGISTRATION: https://clinicaltrials.gov/ct2/show/NCT05181111 . Registered on 6 January 2022. Start of recruitment: 7 December 2021.

Relationships Between Systemic Inflammation, Intestinal Damage and Postoperative Organ Dysfunction in Adults Undergoing Low-Risk Cardiac Surgery.

BACKGROUND: Approximately half of patients who undergo cardiac surgery develop systemic inflammatory response syndrome. Extracorporeal circulation and intestinal injury may play a role in this inflammatory response, although their relative contributions remain elusive. Moreover, it is largely unknown to what extent these factors contribute to cardiac surgery-induced postoperative organ dysfunction. METHOD: In this secondary analysis, we measured circulating levels of the intestinal damage marker intestinal fatty acid binding protein (I-FABP) and of the inflammatory cytokines tumour necrosis factor (TNF)-α, interleukin (IL)-6, IL-8, IL-10, IL-1RA, monocyte chemoattractant protein (MCP)-1, macrophage inflammatory protein (MIP)-1α, and MIP-1ß in 180 patients undergoing on-pump cardiac surgery. The average Z-score of levels of the different cytokines was used as an integral measure of the cytokine response. Relationships between duration of extracorporeal circulation, extent of intestinal injury, inflammation, and postoperative organ dysfunction were explored. RESULTS: Plasma I-FABP levels increased during surgery, with peak levels observed at the end of cardiopulmonary bypass (CPB). Except for TNF-α, the levels of all cytokines increased during surgery, with peak levels observed either 2 (MCP-1, MIP-1α, and MIP-1ß), 4 (IL-6, IL-8, and IL-1RA) or 6 (IL-10) hours after the end of CPB. While the duration of CPB significantly correlated with cytokine Z-score (r=0.544, p<0.05), no relationship with I-FABP levels was found. Furthermore, no significant correlations between I-FABP and cytokine levels were observed. The duration of CPB correlated with a deterioration in postoperative kidney function (estimated glomerular filtration rate [eGFR]) and troponin levels. Cytokine Z-score was associated with postoperative troponin levels, fluid administration, inotropic score, pulmonary alveolar-arterial gradient on the first postoperative morning, and deterioration of kidney function (eGFR). I-FABP levels did not correlate with any of the cardiovascular, pulmonary, or renal parameters. CONCLUSIONS: In patients undergoing low-risk cardiac surgery, the duration of CPB represents an important determinant of the systemic cytokine response, whereas both the CPB duration and the systemic inflammatory response contribute to subsequent organ dysfunction. Intestinal damage does not appear to play a relevant role in the postoperative inflammatory response and development of postoperative organ dysfunction in these patients.

Continuous vital sign monitoring using a wearable patch sensor in obese patients: a validation study in a clinical setting.

Our aim was to determine the agreement of heart rate (HR) and respiratory rate (RR) measurements by the Philips Biosensor with a reference monitor (General Electric Carescape B650) in severely obese patients during and after bariatric surgery. Additionally, sensor reliability was assessed. Ninety-four severely obese patients were monitored with both the Biosensor and reference monitor during and after bariatric surgery. Agreement was defined as the mean absolute difference between both monitoring devices. Bland Altman plots and Clarke Error Grid analysis (CEG) were used to visualise differences. Sensor reliability was reflected by the amount, duration and causes of data loss. The mean absolute difference for HR was 1.26 beats per minute (bpm) (SD 0.84) during surgery and 1.84 bpm (SD 1.22) during recovery, and never exceeded the 8 bpm limit of agreement. The mean absolute difference for RR was 1.78 breaths per minute (brpm) (SD 1.90) during surgery and 4.24 brpm (SD 2.75) during recovery. The Biosensor's RR measurements exceeded the 2 brpm limit of agreement in 58% of the compared measurements. Averaging 15 min of measurements for both devices improved agreement. CEG showed that 99% of averaged RR measurements resulted in adequate treatment. Data loss was limited to 4.5% of the total duration of measurements for RR. No clear causes for data loss were found. The Biosensor is suitable for remote monitoring of HR, but not RR in morbidly obese patients. Future research should focus on improving RR measurements, the interpretation of continuous data, and development of smart alarm systems.