Do low levels of alanine aminotransferase, a baseline marker of sarcopenia and frailty, associate with worse clinical outcomes among hospitalized COVID-19 patients? A Retrospective Cohort Study.

Objectives: COVID-19 geoperdize lives. Not all the risk factors for negative outcomes are known. Sarcopenia and frailty are common, negatively affecting clinical outcomes. Studies have shown that sarcopenia and frailty are associated with worse outcomes. Our objective was to examine whether low ALT (Alanine-aminotranferase), a surrogate marker for sarcopenia, is associated with worse clinical outcomes among hospitalized COVID-19 patients. Methods: We reviewed cases of COVID-19 in a tertiary hospital, during three COVID-19 waves and examined correlations between ALT and mortality using crude, univariate and multivariate analysis for age, gender, hypertension, Chronic obstructive pulmonary disease and Congestive heart failure. Results: 357 patients were included in this analysis. Median age was 69, 54% were males. Median ALT was 19 IU/L. During follow-up, 73 (20%) died. Patients with low ALT were more likely to die (HR 1.82, 95% CI 1.06-3.09, P=0.028). Other predictors for mortality were low albumin, background COPD, dyslipidemia, dementia, and malignancy. The multivariate analysis showed that low ALT was still an independent predictor of poor prognosis (HR 1.7, 95% CI 1.0-2.9, P=0.049). Conclusions: In our analysis of COVID-19 patients, low ALT levels were independently associated with increased risk of mortality, both as standalone and when incorporated into a multivariate analysis.

High Attendance Rate of Family Members During Physician Rounds Is Predictive of Worse Clinical Outcomes: A Historic Cohort Study.

BACKGROUND: The prognosis of long-term clinical outcomes for each patient is of utmost importance. OBJECTIVES: To evaluate the association between rates of family attendance during rounds and long-term outcomes. METHODS: We conducted a historic cohort study. RESULTS: We followed 200 consecutive patients for a median of 19 months. Within the group of patients that had family members present in > 75% of rounds, the 30-day re-hospitalization rate was tenfold higher (P = 0.017). The overall prognosis (including median survival length) of patients who had the highest rates of family attendance (> 75%) was significantly worse compared to patients who had lower rates (P = 0.028). High rates of family attendance were found to correlate with other established risk factors for long-term mortality, including advanced age (r = 0.231, P = 0.001) and in-hospital delirium. CONCLUSIONS: High family attendance during physician rounds in an internal medicine department is associated with worse patient prognosis.

Assessing the Usability of a Novel Wearable Remote Patient Monitoring Device for the Early Detection of In-Hospital Patient Deterioration: Observational Study.

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.