Background Patients admitted to general wards are inherently at risk of deterioration. Thus, tools that can provide early detection of deterioration may be lifesaving. Frequent remote patient monitoring (RPM) has the potential to allow such early detection, leading to a timely intervention by health care providers. Objective This study aimed to assess the potential of a novel wearable RPM device to provide timely alerts in patients at high risk for deterioration. Methods This prospective observational study was conducted in two general wards of a large tertiary medical center. Patients determined to be at high risk to deteriorate upon admission and assigned to a telemetry bed were included. On top of the standard monitoring equipment, a wearable monitor was attached to each patient, and monitoring was conducted in parallel. The data gathered by the wearable monitors were analyzed retrospectively, with the medical staff being blinded to them in real time. Several early warning scores of the risk for deterioration were used, all calculated from frequent data collected by the wearable RPM device: these included (1) the National Early Warning Score (NEWS), (2) Airway, Breathing, Circulation, Neurology, and Other (ABCNO) score, and (3) deterioration criteria defined by the clinical team as a “wish list” score. In all three systems, the risk scores were calculated every 5 minutes using the data frequently collected by the wearable RPM device. Data generated by the early warning scores were compared with those obtained from the clinical records of actual deterioration among these patients. Results In total, 410 patients were recruited and 217 were included in the final analysis. The median age was 71 (IQR 62-78) years and 130 (59.9%) of them were male. Actual clinical deterioration occurred in 24 patients. The NEWS indicated high alert in 16 of these 24 (67%) patients, preceding actual clinical deterioration by 29 hours on average. The ABCNO score indicated high alert in 18 (75%) of these patients, preceding actual clinical deterioration by 38 hours on average. Early warning based on wish list scoring criteria was observed for all 24 patients 40 hours on average before clinical deterioration was detected by the medical staff. Importantly, early warning based on the wish list scoring criteria was also observed among all other patients who did not deteriorate. Conclusions Frequent remote patient monitoring has the potential for early detection of a high risk to deteriorate among hospitalized patients, using both grouped signal-based scores and algorithm-based prediction. In this study, we show the ability to formulate scores for early warning by using RPM. Nevertheless, early warning scores compiled on the basis of these data failed to deliver reasonable specificity. Further efforts should be directed at improving the specificity and sensitivity of such tools. Trial Registration ClinicalTrials.gov NCT04220359; https://clinicaltrials.gov/ct2/show/NCT04220359

Sarcopenia and frailty are causes for morbidity and mortality amongst heart failure (HF) patients. Low alanine transaminase (ALT) is a marker for these syndromes and, therefore, could serve as a biomarker for the prognostication of HF patients. We performed a retrospective analysis of all consecutive hospitalized HF patients in our institute in order to find out whether low ALT values would be a biomarker for poor outcomes. Our cohort included 11,102 patients, 35.6% categorized as heart failure with reduced ejection fraction. We excluded patients with ALT > 40 IU/L and cirrhosis. 8700 patients were followed for a median duration of 22 months and included in a univariate analysis. Patients with ALT < 10 IU/L were older (mean age 78.6 vs. 81.8, p < 0.001), had past stroke (24.6% vs. 19.6%, p < 0.001), dementia (7.7% vs. 4.6%, p < 0.001), and malignancy (13.4% vs. 10.2%, p = 0.003). Hospitalization length was longer in the low-ALT group (4 vs. 3 days, p < 0.001), and the rate of acute kidney injury during hospitalization was higher (19.1% vs. 15.6%; p = 0.006). The in-hospital mortality rate was higher in the low-ALT group (6.5% vs. 3.9%; p < 0.001). Long-term mortality was also higher (73.3% vs. 61.5%; p < 0.001). In a multivariate regression analysis, ALT < 10 IU/L had a 1.22 hazard ratio for mortality throughout the follow-up period (CI = 1.09–1.36; p < 0.001). Low ALT plasma level, a biomarker for sarcopenia and frailty, can assist clinicians in prognostic stratification of heart failure patients.

QTc duration anomalies are associated with worse short- and medium-term prognosis and may act as a marker for more severe clinical sequelae.

Introduction Elderly patients are underrepresented in clinical trials evaluating the management of non-ST elevation myocardial infarction (NSTEMI) patients. Moreover, frailty status is often not reported in these trials. Purpose To evaluate the association of invasive management with outcome among elderly (≥80) patients presenting with NSTEMI by frailty status. Methods Retrospective cohort of consecutive elderly patients who were hospitalized with NSTEMI as a primary clinical diagnosis between 2008 to 2019. Primary outcome was all-cause mortality. Frailty status was estimated as a continuous variable as well as categorized to low, medium, and high. Cox regression models were applied with stratification by frailty status. Additional sensitivity analyses were conducted including propensity score matching (PSM) and inverse probability treatment weighting (IPTW) models. Results Study population included 2,317 patients with median age of 86 years (IQR 83–90) of whom 1,243 (54%) were men. Patients who were managed invasively (n=581 [25%]) were less likely to be frail (7% vs. 44%, p&lt;.001). During the follow up (median of 19 months, [IQR 4–41]), 1,599 (69%) patients died. Kaplan Meier survival curves (Figure 1) show that the cumulative probability of death at 19 months was 50% among patients who were managed conservatively compared with 21% among invasively managed patients (p Log rank &lt;.001). In the multivariable Cox model, invasive approach was associated with a significant 39% decrease in the risk of death (95% CI 0.53–0.71). The benefit of invasive approach was consistent among low, medium, and high frailty subgroups with adjusted HRs of 0.74 [0.58–0.93], 0.65 [0.50–0.85] and 0.52 [0.34–0.78], respectively; p for interaction NS). Results were consistent with PSM and IPTW analyses (HR of 0.6 [0.50–0.71] and 0.67 [0.55–0.82], respectively). Additional sensitivity analysis addressing potential immortal time bias and residual confounding yielded similar results. Conclusions Invasive approach is associated with improved survival among elderly patients with NSTEMI irrespective of frailty status. Our results support and extend recent ESC recommendations for the management of elderly patients with NSTEMI FUNDunding Acknowledgement Type of funding sources: None. Figure 1