Digital health interventions for remote follow-up after mild traumatic brain injury.

BACKGROUND: After a mild traumatic brain injury (mild TBI,) a significant number of patients may experience persistent symptoms and disabilities for months to years. Early identification and timely management of persistent symptoms may help to reduce the long-term impacts of mild TBIs. There is currently no formalised method for identifying patients with persistent symptoms after mild TBI once they are discharged from emergency department. OBJECTIVE: Assess the feasibility of a remote monitoring tool for early identification of persistent symptoms after mild TBI in the outpatient setting using digital tools. METHODS: Electronic surveys were sent to patients with mild TBI who presented to the emergency department at a Major Trauma Centre in England. The surveys were completed at three different timepoints (within days of injury (S1), 1 month (S2), and 3 months (S3) after injury). The indicators used to assess feasibility were engagement, number of eligible patients for follow-up evidence of need for the intervention, and consistency with the literature. Feedback was sought from participants. RESULTS: Of the 200 people invited to participate, 134 (67.0%) completed S1, 115 (57.5%) completed S2, and 95 (47.5%) completed S3. The rates of persistent symptoms ranged from 17.9%-62.6% depending on the criteria used, and we found a significant proportion of the participants experienced morbidity 1 and 3 months after injury. The electronic follow-up tool was deemed an acceptable and user-friendly method for service delivery by participants. CONCLUSION: Using digital tools to monitor and screen mild TBI patients for persistent symptoms is feasible. This could be a scalable, cost-effective, and convenient solution which could improve access to healthcare and reduce healthcare inequalities. This could enable early identification of patients with further medical needs and facilitate timely intervention to improve the clinical workflows, patient satisfaction, and health outcomes for people with persistent morbidities after mild TBIs.

Comparison of performance of automatic recognizers for stutters in speech trained with event or interval markers.

Introduction: Automatic recognition of stutters (ARS) from speech recordings can facilitate objective assessment and intervention for people who stutter. However, the performance of ARS systems may depend on how the speech data are segmented and labelled for training and testing. This study compared two segmentation methods: event-based, which delimits speech segments by their fluency status, and interval-based, which uses fixed-length segments regardless of fluency. Methods: Machine learning models were trained and evaluated on interval-based and event-based stuttered speech corpora. The models used acoustic and linguistic features extracted from the speech signal and the transcriptions generated by a state-of-the-art automatic speech recognition system. Results: The results showed that event-based segmentation led to better ARS performance than interval-based segmentation, as measured by the area under the curve (AUC) of the receiver operating characteristic. The results suggest differences in the quality and quantity of the data because of segmentation method. The inclusion of linguistic features improved the detection of whole-word repetitions, but not other types of stutters. Discussion: The findings suggest that event-based segmentation is more suitable for ARS than interval-based segmentation, as it preserves the exact boundaries and types of stutters. The linguistic features provide useful information for separating supra-lexical disfluencies from fluent speech but may not capture the acoustic characteristics of stutters. Future work should explore more robust and diverse features, as well as larger and more representative datasets, for developing effective ARS systems.

Experimental Models of Traumatic Injuries: Do They Capture the Coagulopathy and Underlying Endotheliopathy Induced by Human Trauma?

Trauma-induced coagulopathy (TIC) is a major cause of morbidity and mortality in patients with traumatic injury. It describes the spectrum of coagulation abnormalities that occur because of the trauma itself and the body's response to the trauma. These coagulation abnormalities range from hypocoagulability and hyperfibrinolysis, resulting in potentially fatal bleeding, in the early stages of trauma to hypercoagulability, leading to widespread clot formation, in the later stages. Pathological changes in the vascular endothelium and its regulation of haemostasis, a phenomenon known as the endotheliopathy of trauma (EoT), are thought to underlie TIC. Our understanding of EoT and its contribution to TIC remains in its infancy largely due to the scarcity of experimental research. This review discusses the mechanisms employed by the vascular endothelium to regulate haemostasis and their dysregulation following traumatic injury before providing an overview of the available experimental in vitro and in vivo models of trauma and their applicability for the study of the EoT and its contribution to TIC.

The application of an age adjusted D-dimer threshold to rule out suspected venous thromboembolism (VTE) in an emergency department setting: a retrospective diagnostic cohort study.

BACKGROUND: Venous Thromboembolic disease (VTE) poses a diagnostic challenge for clinicians in acute care. Over reliance on reference standard investigations can lead to over treatment and potential harm. We sought to evaluate the pragmatic performance and implications of using an age adjusted D-dimer (AADD) strategy to rule out VTE in patients with suspected disease attending an emergency department (ED) setting. We aimed to determine diagnostic test characteristics and assess whether this strategy would result in proportional imaging reduction and potential cost savings. METHODS: Design: Single centre retrospective diagnostic cohort study. All patients > 50 years old evaluated for possible VTE who presented to the emergency department over a consecutive 12-month period between January and December 2016 with a positive D-dimer result. Clinical assessment records and reference standard imaging results were followed up by multiple independent adjudicators and coded as VTE positive or negative. RESULTS: During the study period, there were 2132 positive D-dimer results. One thousand two hundred thirty-six patients received reference standard investigations. A total increase of 314/1236 (25.1%) results would have been coded as true negatives as opposed to false positive if the AADD cut off point had been applied, with 314 reference standard tests subsequently avoided. The AADD cut off had comparable sensitivity to the current cut off despite this increase in specificity; sensitivities for the diagnosis of DVT were 99.28% (95% CI 96.06-99.98%) and 97.72% for PE (95% CI 91.94% to 97.72). There were 3 false negative results using the AADD strategy. CONCLUSIONS: In patients with suspected VTE with a low or moderate pre-test probability, the application of AADD appears to increase the proportion of patients in which VTE can be excluded without the need for reference standard imaging. This management strategy is likely to be associated with substantial reduction in anticoagulation treatment, investigations and cost/time savings.

Increasing human motor skill acquisition by driving theta-gamma coupling.

Skill learning is a fundamental adaptive process, but the mechanisms remain poorly understood. Some learning paradigms, particularly in the memory domain, are closely associated with gamma activity that is amplitude modulated by the phase of underlying theta activity, but whether such nested activity patterns also underpin skill learning is unknown. Here, we addressed this question by using transcranial alternating current stimulation (tACS) over sensorimotor cortex to modulate theta-gamma activity during motor skill acquisition, as an exemplar of a non-hippocampal-dependent task. We demonstrated, and then replicated, a significant improvement in skill acquisition with theta-gamma tACS, which outlasted the stimulation by an hour. Our results suggest that theta-gamma activity may be a common mechanism for learning across the brain and provides a putative novel intervention for optimizing functional improvements in response to training or therapy.

BET 1: A glass half full? Thrombolysis for the treatment of submassive pulmonary embolism.

A short-cut review was carried out to establish whether thrombolysis in addition to therapeutic anticoagulation could be of benefit in submassive (intermediate risk) pulmonary embolism (PE). 64 directly relevant papers were found using the reported search strategy. Of these, three presented the best evidence to answer the clinical question. The author, date and country of publication, patient group studied, study type, relevant outcomes, results and study weaknesses of these best papers are tabulated. It is concluded that there is insufficient evidence to support the routine use of adjuvant thrombolytic therapy at any dose for patients with submassive PE. Carefully selected patients with a low bleeding risk who attribute high importance to functional outcome may stand to benefit.