Household Items-Based Personalized Video Rehabilitation amidst the COVID-19 Pandemic: Handouts We All Wish We Had

Category: Ankle; Sports Introduction/Purpose: Rehabilitation is vital in the recovery of countless foot and ankle injuries and operations.1With our attention directed to providing care on the frontlines of the COVID-19 pandemic, rehabilitation has fallen by the wayside with poor consequences. Access to outpatient rehabilitation services and their specialized exercise equipment has significantly decreased,2 leaving patients feeling abandoned and surgeons looking for help on how to guide patients’ postoperative rehabilitation. This poster serves to introduce household items-based personalized video rehabilitation (PVR). Methods: Rehabilitation exercise videos were produced by a board-certified athletic trainer and board-certified orthopaedic foot and ankle surgeon. The videos showed how to perform rehabilitation exercises with common household items (Figure 3).The videos were produced in a structured order, explaining the purpose of the exercise, showing what household items are needed, and demonstrating the proper technique of the exercise. Following recording of the videos, they were assembled into injury/scenario-specific infographics (Figure 1). Results: 34 rehabilitation exercise videos were recorded, with an average length of two minutes, 11 seconds.11 injury/scenario- specific infographics were assembled, with each page of an infographic containing seven exercises (Figure 1), with specific information and access for each exercise (Figure 2).Patients can access the videos by clicking on the hyperlink, or by scanning the QR code. When giving infographics, healthcare professionals can guide patients on which exercises to perform. Conclusion: Household items-based PVR provides patients with an interactive infographic that gives access to concise videos of rehabilitation exercises, especially during a time of reduced rehabilitation accessibility. Healthcare professionals can assign patient- specific exercises on the infographic that are appropriate for a patients’ phase of rehabilitation. Not meant to replace the current rehabilitation model, household item-based PVR is a paradigm shift that will allow physicians to bridge gaps in care.

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Tailoring Communications for Primary Care Settings

Methods of Information in Medicine ◽

10.1055/s-0038-1634520 ◽

1998 ◽

Vol 37 (02) ◽

pp. 171-178 ◽

Cited By ~ 31

Author(s):

B. Glassman ◽

B. K. Rimer

Keyword(s):

Primary Care ◽

Health Professionals ◽

Contact Time ◽

Behavioral Changes ◽

Patient Specific ◽

Specific Information ◽

Medical Settings ◽

Primary Care Settings ◽

Professional Contact ◽

Tailored Communications

AbstractIn more and more medical settings, physicians have less and less time to be effective communicators. To be effective, they need accurate, current information about their patients. Tailored health communications can facilitate positive patient-provider communications and foster behavioral changes conducive to health. Tailored communications (TCs) are produced for an individual based on information about that person. The focus of this report is on tailored print communications (TPCs). TPCs also enhance the process of evaluation, because they require a database and the collection of patient-specific information. We present a Tailoring Model for Primary Care that describes the steps involved in creating TPCs. We also provide examples from three ongoing studies in which TPCs are being used in order to illustrate the kinds of variables used for tailoring the products that are developed and how evaluation is conducted. TPCs offer opportunities to expand the reach of health professionals and to give personalized, individualized massages in an era of shrinking professional contact time.

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Foot and Ankle Injections in Athletes

Sports Health A Multidisciplinary Approach ◽

10.1177/19417381211003619 ◽

2021 ◽

pp. 194173812110036

Author(s):

Jonathan K. Ochoa ◽

Christopher E. Gross ◽

Robert B. Anderson ◽

Andrew R. Hsu

Keyword(s):

English Language ◽

Platelet Rich Plasma ◽

Empirical Studies ◽

Autologous Blood ◽

Case Series ◽

Placental Tissue ◽

Ankle Injuries ◽

Extensive Literature ◽

Foot And Ankle ◽

Level Of Evidence

Context: Injections are commonly used by health care practitioners to treat foot and ankle injuries in athletes despite ongoing questions regarding efficacy and safety. Evidence Acquisition: An extensive literature review was performed through MEDLINE, Google Scholar, and EBSCOhost from database inception to 2021. Keywords searched were injections, athletes, sports, foot and ankle, corticosteroids, platelet-rich plasma, and placental tissue. Search results included articles written in the English language and encompassed reviews, case series, empirical studies, and basic science articles. Study Design: Clinical review. Level of Evidence: Level 4. Results: Corticosteroids, platelet-rich plasma/autologous blood, anesthetic, and placental tissue injections are commonly used in the treatment of foot and ankle injuries. Primary indications for injections in athletes include plantar fasciitis, Achilles tendinosis, isolated syndesmotic injury, and ankle impingement with varying clinical results. Conclusions: Despite promising results from limited case series and comparative studies, the data for safety and efficacy of injections for foot and ankle injuries in athletes remain inconclusive.

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Assessment of patient specific information in the wild on fundus photography and optical coherence tomography

Scientific Reports ◽

10.1038/s41598-021-86577-5 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Marion R. Munk ◽

Thomas Kurmann ◽

Pablo Márquez-Neila ◽

Martin S. Zinkernagel ◽

Sebastian Wolf ◽

...

Keyword(s):

Deep Learning ◽

Cross Sections ◽

Underlying Disease ◽

Geographic Atrophy ◽

Clinical Population ◽

Fundus Photography ◽

Peak Performance ◽

Patient Specific ◽

Specific Information ◽

Fundus Images

AbstractIn this paper we analyse the performance of machine learning methods in predicting patient information such as age or sex solely from retinal imaging modalities in a heterogeneous clinical population. Our dataset consists of N = 135,667 fundus images and N = 85,536 volumetric OCT scans. Deep learning models were trained to predict the patient’s age and sex from fundus images, OCT cross sections and OCT volumes. For sex prediction, a ROC AUC of 0.80 was achieved for fundus images, 0.84 for OCT cross sections and 0.90 for OCT volumes. Age prediction mean absolute errors of 6.328 years for fundus, 5.625 years for OCT cross sections and 4.541 for OCT volumes were observed. We assess the performance of OCT scans containing different biomarkers and note a peak performance of AUC = 0.88 for OCT cross sections and 0.95 for volumes when there is no pathology on scans. Performance drops in case of drusen, fibrovascular pigment epitheliuum detachment and geographic atrophy present. We conclude that deep learning based methods are capable of classifying the patient’s sex and age from color fundus photography and OCT for a broad spectrum of patients irrespective of underlying disease or image quality. Non-random sex prediction using fundus images seems only possible if the eye fovea and optic disc are visible.

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Depression patient-derived cortical neurons reveal potential biomarkers for antidepressant response

Translational Psychiatry ◽

10.1038/s41398-021-01319-5 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Yishai Avior ◽

Shiri Ron ◽

Dana Kroitorou ◽

Claudia Albeldas ◽

Vitaly Lerner ◽

...

Keyword(s):

Cortical Neurons ◽

Antidepressant Treatment ◽

Patient Specific ◽

Specific Gene ◽

Specific Information ◽

Patient Response ◽

Patient Will ◽

Gene Expression Alterations ◽

Treatment Alternatives

AbstractMajor depressive disorder is highly prevalent worldwide and has been affecting an increasing number of people each year. Current first line antidepressants show merely 37% remission, and physicians are forced to use a trial-and-error approach when choosing a single antidepressant out of dozens of available medications. We sought to identify a method of testing that would provide patient-specific information on whether a patient will respond to a medication using in vitro modeling. Patient-derived lymphoblastoid cell lines from the Sequenced Treatment Alternatives to Relieve Depression study were used to rapidly generate cortical neurons and screen them for bupropion effects, for which the donor patients showed remission or non-remission. We provide evidence for biomarkers specific for bupropion response, including synaptic connectivity and morphology changes as well as specific gene expression alterations. These biomarkers support the concept of personalized antidepressant treatment based on in vitro platforms and could be utilized as predictors to patient response in the clinic.

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Diagnosis and Management of Foot and Ankle Injuries in Dancers

Current Physical Medicine and Rehabilitation Reports ◽

10.1007/s40141-021-00313-8 ◽

2021 ◽

Author(s):

Julia L. Iafrate ◽

Christine E. Townsend ◽

Charles Scott ◽

Hye-Jin Yun ◽

Allison Ventola ◽

...

Keyword(s):

Ankle Injuries ◽

Foot And Ankle ◽

Diagnosis And Management

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Realtime Motion Assessment For Rehabilitation Exercises: Integration Of Kinematic Modeling With Fuzzy Inference

Journal of Artificial Intelligence and Soft Computing Research ◽

10.1515/jaiscr-2015-0014 ◽

2014 ◽

Vol 4 (4) ◽

pp. 267-285 ◽

Cited By ~ 31

Author(s):

Wenbing Zhao ◽

Roanna Lun ◽

Deborah D. Espy ◽

M. Ann Reinthal

Keyword(s):

Fuzzy Inference ◽

Kinematic Model ◽

Integrated Approach ◽

Kinematic Modeling ◽

Motion Data ◽

Fuzzy Interference System ◽

Novel Approach ◽

Motion Assessment ◽

Rehabilitation Exercises ◽

Rehabilitation Exercise

Abstract This article describes a novel approach to realtime motion assessment for rehabilitation exercises based on the integration of comprehensive kinematic modeling with fuzzy inference. To facilitate the assessment of all important aspects of a rehabilitation exercise, a kinematic model is developed to capture the essential requirements for static poses, dynamic movements, as well as the invariance that must be observed during an exercise. The kinematic model is expressed in terms of a set of kinematic rules. During the actual execution of a rehabilitation exercise, the similarity between the measured motion data and the model is computed in terms of their distances, which are then used as inputs to a fuzzy interference system to derive the overall quality of the execution. The integrated approach provides both a detailed categorical assessment of the overall execution of the exercise and the degree of adherence to individual kinematic rules.

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The Use of Patient-Specific 3D Printed Titanium Implants for Complex Foot and Ankle Limb Salvage, Deformity Correction, and Arthrodesis Procedures

Foot & Ankle Orthopaedics ◽

10.1177/2473011417s000018 ◽

2017 ◽

Vol 2 (3) ◽

pp. 2473011417S0000

Author(s):

Samuel Adams ◽

Travis Dekker ◽

John Steele ◽

Kamran Hamid

Keyword(s):

Lower Extremity ◽

Deformity Correction ◽

Titanium Implants ◽

Patient Specific ◽

Allograft Bone ◽

Foot And Ankle ◽

Sf 36 ◽

3D Printed ◽

The Mean

Category: Ankle,Ankle Arthritis,Basic Sciences/Biologics,Trauma Introduction/Purpose: Large lower extremity bony defects, complex foot and ankle deformities, and high-risk arthrodesis situations can be difficult to treat. These challenging pathologies, often require a critical-sizes and/or shaped structural bone void filler which may not be available with allograft bone. The advancement of 3D printing technology has allowed for the use of custom designed implants for foot and ankle surgery. This study reports on the radiographic and functional outcomes of a case series of patients treated with patient-specific 3D printed titanium implants. Methods: Seven consecutive patients who were treated with custom designed 3D printed implant cages for severe bone loss, deformity correction, and arthrodesis procedures were included in this study. A minimum of 1-year follow-up was required. No patients were lost to follow-up. Patients completed preoperative and most recent follow-up VAS for pain, FAAM, and SF-36 outcomes questionnaires. All patients had post-operative radiographs and CT scans to assess bony incorporation. Results: The mean age of these patients was 54.6 (35-73 years of age). The mean follow-up of these seven patients was 17.1 months (range 12 to 31). Radiographic fusion with cage ingrowth and integration occurred in all seven patients verified by CT scan. There was statistically significant improvement in all functional outcome score measures (VAS for pain, FAAM, and SF-36). All patients returned were satisfied with surgery. There were no failures. Case examples are demonstrated in Figure 1. Conclusion: This cohort of patients demonstrated the successful use of custom 3D printed implants to treat complex large bony defects, deformities and arthrodesis procedures of the lower extremity. These implants offer the surgeon a patient specific approach to treat both pain and deformity that is not necessarily available with allograft bone.

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Variant Selection and Interpretation: An Example of Modified VarSome Classifier of ACMG Guidelines in the Diagnostic Setting

Genes ◽

10.3390/genes12121885 ◽

2021 ◽

Vol 12 (12) ◽

pp. 1885

Author(s):

Francesca Cristofoli ◽

Elisa Sorrentino ◽

Giulia Guerri ◽

Roberta Miotto ◽

Roberta Romanelli ◽

...

Keyword(s):

Medical Genetics ◽

Patient Specific ◽

Specific Information ◽

Variant Selection ◽

Variant Classification ◽

Variant Interpretation ◽

Bioinformatics Pipeline ◽

Different Levels ◽

Diagnostic Setting

Variant interpretation is challenging as it involves combining different levels of evidence in order to evaluate the role of a specific variant in the context of a patient’s disease. Many in-depth refinements followed the original 2015 American College of Medical Genetics (ACMG) guidelines to overcome subjective interpretation of criteria and classification inconsistencies. Here, we developed an ACMG-based classifier that retrieves information for variant interpretation from the VarSome Stable-API environment and allows molecular geneticists involved in clinical reporting to introduce the necessary changes to criterion strength and to add or exclude criteria assigned automatically, ultimately leading to the final variant classification. We also developed a modified ACMG checklist to assist molecular geneticists in adjusting criterion strength and in adding literature-retrieved or patient-specific information, when available. The proposed classifier is an example of integration of automation and human expertise in variant curation, while maintaining the laboratory analytical workflow and the established bioinformatics pipeline.

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