Epigenomic Blood-Based Early Detection of Pancreatic Cancer Employing Cell-Free DNA

BACKGROUND & AIMS

Early detection of pancreatic cancer (PaC) can drastically improve survival rates. Approximately 25% of subjects with PaC have type 2 diabetes diagnosed within 3 years prior to the PaC diagnosis, suggesting that subjects with type 2 diabetes are at high risk of occult PaC. We have developed an early-detection PaC test, based on changes in 5-hydroxymethylcytosine (5hmC) signals in cell-free DNA from plasma.

METHODS

Blood was collected from 132 subjects with PaC and 528 noncancer subjects to generate epigenomic and genomic feature sets yielding a predictive PaC signal algorithm. The algorithm was validated in a blinded cohort composed of 102 subjects with PaC, 2048 noncancer subjects, and 1524 subjects with non-PaCs.

RESULTS

5hmC differential profiling and additional genomic features enabled the development of a machine learning algorithm capable of distinguishing subjects with PaC from noncancer subjects with high specificity and sensitivity. The algorithm was validated with a sensitivity for early-stage (stage I/II) PaC of 68.3% (95% confidence interval [CI], 51.9%-81.9%) and an overall specificity of 96.9% (95% CI, 96.1%-97.7%).

CONCLUSIONS

The PaC detection test showed robust early-stage detection of PaC signal in the studied cohorts with varying type 2 diabetes status. This assay merits further clinical validation for the early detection of PaC in high-risk individuals.

Comparing critical speed modelling approaches and exploring relationships with match-play variables in elite male youth soccer players

Background

A novel bi-exponential method has emerged to estimate critical speed (CS) and D-prime (D') from a 3-min all-out test (3MT).

Objectives

To compare CS analysis methods to determine whether parameter estimations were interchangeable. Reference values and relationships with key soccer match-play variables were explored.

Methods

Thirteen elite male youth (14-15 years old) players completed a 30 m shuttle run 3MT to estimate CS, D', rate of speed decline time constant, maximal speed (S _max), time to S _max (t _max), and fatigue index (FI), using the traditional method and bi-exponential model on average (Bi-Exp_Average) and max speed settings (Bi-Exp_Max-Speed). High-speed running (HSR) and sprinting distances and counts, and the number of accelerations were collected from two matches. Magnitude-based inferences (p < 0.05) with smallest worthwhile change of 0.2 effect sizes were used to analyse differences. Pearson's and Spearman's correlation coefficients were used to measure associations between CS model variables and match-play parameters.

Results

There were significant differences between the traditional method and both bi-exponential models for CS and D', as well as between the bi-exponential models for all variables except t _max. Using the Bi-Exp_Average model, strong correlations (r = 0.70-0.73; p < 0.05) were observed for D' and FI with the number of standardised and individualised HSRs, respectively. With the Bi-Exp_Max-Speed model, there were strong correlations (r/ρ = 0.64-0.68; p < 0.05) between D' and the number of standardised HSRs and sprints, and the number of individualised sprints.

Conclusion

There is a lack of interchangeability between analysis methods. It appears that D' and FI from the bi-exponential models could be associated with high-intensity actions in soccer match-play.

A prospective randomized trial examining health care utilization in individuals using multiple smartphone-enabled biosensors

Background. Mobile health and digital medicine technologies are becoming increasingly used by individuals with common, chronic diseases to monitor their health. Numerous devices, sensors, and apps are available to patients and consumers-some of which have been shown to lead to improved health management and health outcomes. However, no randomized controlled trials have been conducted which examine health care costs, and most have failed to provide study participants with a truly comprehensive monitoring system. Methods. We conducted a prospective randomized controlled trial of adults who had submitted a 2012 health insurance claim associated with hypertension, diabetes, and/or cardiac arrhythmia. The intervention involved receipt of one or more mobile devices that corresponded to their condition(s) (hypertension: Withings Blood Pressure Monitor; diabetes: Sanofi iBGStar Blood Glucose Meter; arrhythmia: AliveCor Mobile ECG) and an iPhone with linked tracking applications for a period of 6 months; the control group received a standard disease management program. Moreover, intervention study participants received access to an online health management system which provided participants detailed device tracking information over the course of the study. This was a monitoring system designed by leveraging collaborations with device manufacturers, a connected health leader, health care provider, and employee wellness program-making it both unique and inclusive. We hypothesized that health resource utilization with respect to health insurance claims may be influenced by the monitoring intervention. We also examined health-self management. Results & Conclusions. There was little evidence of differences in health care costs or utilization as a result of the intervention. Furthermore, we found evidence that the control and intervention groups were equivalent with respect to most health care utilization outcomes. This result suggests there are not large short-term increases or decreases in health care costs or utilization associated with monitoring chronic health conditions using mobile health or digital medicine technologies. Among secondary outcomes there was some evidence of improvement in health self-management which was characterized by a decrease in the propensity to view health status as due to chance factors in the intervention group.

Comparison of 24-hour Holter monitoring with 14-day novel adhesive patch electrocardiographic monitoring

BACKGROUND

Cardiac arrhythmias are remarkably common and routinely go undiagnosed because they are often transient and asymptomatic. Effective diagnosis and treatment can substantially reduce the morbidity and mortality associated with cardiac arrhythmias. The Zio Patch (iRhythm Technologies, Inc, San Francisco, Calif) is a novel, single-lead electrocardiographic (ECG), lightweight, Food and Drug Administration-cleared, continuously recording ambulatory adhesive patch monitor suitable for detecting cardiac arrhythmias in patients referred for ambulatory ECG monitoring.

METHODS

A total of 146 patients referred for evaluation of cardiac arrhythmia underwent simultaneous ambulatory ECG recording with a conventional 24-hour Holter monitor and a 14-day adhesive patch monitor. The primary outcome of the study was to compare the detection arrhythmia events over total wear time for both devices. Arrhythmia events were defined as detection of any 1 of 6 arrhythmias, including supraventricular tachycardia, atrial fibrillation/flutter, pause greater than 3 seconds, atrioventricular block, ventricular tachycardia, or polymorphic ventricular tachycardia/ventricular fibrillation. McNemar's tests were used to compare the matched pairs of data from the Holter and the adhesive patch monitor.

RESULTS

Over the total wear time of both devices, the adhesive patch monitor detected 96 arrhythmia events compared with 61 arrhythmia events by the Holter monitor (P < .001).

CONCLUSIONS

Over the total wear time of both devices, the adhesive patch monitor detected more events than the Holter monitor. Prolonged duration monitoring for detection of arrhythmia events using single-lead, less-obtrusive, adhesive-patch monitoring platforms could replace conventional Holter monitoring in patients referred for ambulatory ECG monitoring.

The development of a collaborative stroke training programme for nurses

The effectiveness of multidisciplinary stroke rehabilitation may be enhanced by nurses and therapists adopting a single consistent approach to the positioning and mobilizing of patients. As patients can spend as little as 4% of the waking day receiving 'therapy' there is considerable potential for a more dynamic nursing intervention, which may contribute to improving patient care. We aimed to investigate whether physiotherapists could step back from direct patient treatment in order to participate in a structured training programme for nurses involved with patients recovering from stroke on an established elderly care rehabilitation ward in a district general hospital. Qualitative methods were used within a participatory action research framework to describe the development process and content of the training programme. Nursing staff, physiotherapists and their respective managers were interviewed to identify perceived training needs. This informed the structure and content of the training course and allowed insight into interprofessional working.

Effects of a physiotherapist-led stroke training programme for nurses

AIM

to assess the effects of a physiotherapist-led stroke training programme for nurses working in a rehabilitation ward on clinical practice and patient outcome.

METHOD

before and after group comparison with outcome assessment by observational and quantitative methods. Non-participant observation before and after the 5-month training programme recorded patient position, transfers and contact with nursing staff. Quantitative assessments of disability, satisfaction and mood were made at baseline, discharge and 4 months after stroke onset. We also noted selected stroke complications, rehabilitation ward length of stay and discharge destination.

RESULTS

there was a significant improvement in the number of observed 'good' transfers of patients undertaken by nurses (chi2 = 9.13, df = 1, P = 0.003) but the training programme had no impact on the time the patients spent in 'poor' positions. There was no significant difference between the two groups for Barthel index scores at discharge and at 4 months. Neither was there any significant difference in the Hospital Anxiety and Depression scale, occurrence of secondary complications, length of stay or the Patient and Carer Satisfaction Questionnaires.

CONCLUSION

within the limitations of the research design adopted, some improvements in clinical practice were reported but there were no significant differences in patient outcome. The training programme required no additional resources and should be replicable in most district general hospitals.

Effect of a physiotherapist-led training programme on attitudes of nurses caring for patients after stroke

BACKGROUND

A multidisciplinary project team developed a five-month physiotherapist-led training programme designed to enhance nurses' rehabilitation skills.

AIMS

Investigation of the effects of the training programme on nurses attitudes to patients with stroke.

METHOD

An attitude questionnaire was completed by the participating nurses before and after the training programme. In a complementary qualitative evaluation the nurses' expectations and views of the training programme were explored.

RESULTS

Analysis of the attitude questionnaire indicated that the programme was successful in positively influencing the nurses' attitudes (median of the change in score 2, p = 0.005). The qualitative interviews reflected a similar outcome.

CONCLUSIONS

Quantitative and qualitative evaluation indicates that the training programme had some effect in changing nurses' attitudes to treating patients after a stroke. Such a training programme could be a useful contribution to post-stroke care.