Implementing Cardiorespiratory Fitness as a Routine Measure in Health Care Settings

ABSTRACT It is well established that cardiorespiratory fitness (CRF) is inversely associated with numerous morbidities independent of age, biological sex, race or ethnicity, and commonly obtained risk factors. More recent evidence also demonstrates that the addition of CRF to multivariable risk prediction algorithms used to estimate cardiovascular disease risk improves risk stratification. However, it is neither feasible nor appropriate to perform an exercise test to quantify CRF during most routine clinical encounters. A growing number of studies have suggested that CRF can be assessed pragmatically and reasonably accurately without performing a maximal exercise test. The concept that CRF can be substantially improved in response to regular exercise consistent with consensus recommendations underscores the recommendation that CRF should be a routine measure—a vital sign—across health care settings. Herein, we provide a brief, narrative overview of the evidence in support of this recommendation.

107 Improving Frailty Screening and Accuracy in the Emergency Department (Ed) of A Busy District General Hospital

Background Over 20,000 75+ years attendances annually in ED with frailty screening in introduced in ED in 2016. Early recognition of frailty is recommended. Accurate estimation of frailty level is important as it contributes to clinical pathway and management. Introduction Screening rates had fallen and there were concerns about the accuracy.. Our aim was increased frequency and accuracy of screening at triage. Method Frailty screening rates for patients aged 75+ years attending the ED (routine measure) reviewed with ED Frailty Lead. Stakeholder engagement with ED staff and Frailty and Interface Team (FIT). Frailty screening tool revised. Data review March 2020 focused on CFS accuracy (CFS at triage v CFS by FIT in routine assessment). Sampling approach to CFS accuracy during June 2020. Interventions Small group sessions with ED nursing staff (Jan 2020). Revised electronic screening tool introduced (February 2020). Education sessions (x2) for ED nursing staff (June 2020) focused on CFS. Results Frailty screening increased significantly following revised screening tool introduction from 60% to >80%. In March 2020 agreement of CFS at triage and FIT review in 22% (76/341). The CFS reliability for 10 consecutive patients per day was measured in June 2020 before and following 2 education sessions held on CFS. The reliability of CFS was 0.23 prior to teaching in June and rose to an average of 0.31 following the teaching intervention. Conclusions Frailty screening frequency and the reliability of the CFS improved following teaching interventions but remains low. Work is continuing to focus on improving this further. Although CFS has been found to be reliable between raters in other hospitals we have found this difficult to replicate. It is not known if this is due to local factors or to more common challenges that others may face in CFS estimation by ED staff.

Detection of human disease conditions by single-cell morpho-rheological phenotyping of blood

Blood is arguably the most important bodily fluid and its analysis provides crucial health status information. A first routine measure to narrow down diagnosis in clinical practice is the differential blood count, determining the frequency of all major blood cells. What is lacking to advance initial blood diagnostics is an unbiased and quick functional assessment of blood that can narrow down the diagnosis and generate specific hypotheses. To address this need, we introduce the continuous, cell-by-cell morpho-rheological (MORE) analysis of diluted whole blood, without labeling, enrichment or separation, at rates of 1000 cells/sec. In a drop of blood we can identify all major blood cells and characterize their pathological changes in several disease conditions in vitro and in patient samples. This approach takes previous results of mechanical studies on specifically isolated blood cells to the level of application directly in blood and adds a functional dimension to conventional blood analysis.

Detection of human disease conditions by single-cell morpho-rheological phenotyping of whole blood

Blood is arguably the most important bodily fluid and its analysis provides crucial health status information. A first routine measure to narrow down diagnosis in clinical practice is the differential blood count, determining the frequency of all major blood cells. What is lacking to advance initial blood diagnostics is an unbiased and quick functional assessment of blood that can narrow down the diagnosis and generate specific hypotheses. To address this need, we introduce the continuous, cell-by-cell morpho-rheological (MORE) analysis of whole blood, without labeling, enrichment or separation, at rates of 1,000 cells/sec. In a drop of blood we can identify all major blood cells and characterize their pathological changes in several disease conditions in vitro and in patient samples. This approach takes previous results of mechanical studies on specifically isolated blood cells to the level of application directly in whole blood and adds a functional dimension to conventional blood analysis.