Functionality and Performance of an Accessorized Pre-Filled Syringe and an Autoinjector for At-Home Administration of Tezepelumab in Patients with Severe, Uncontrolled Asthma

On self-extraction

Choreographic Practices ◽

10.1386/chor_00026_1 ◽

2021 ◽

Vol 12 (1) ◽

pp. 11-28 ◽

Cited By ~ 1

Author(s):

Nevarez Encinias

Keyword(s):

Live Performance ◽

Art Form ◽

And Performance ◽

At Home

Written under a pandemic stay-at-home order, this article conceives of flamenco choreography and performance as an artisanal craft, likening several of the tradition’s practices to the act of making a coffee. Drawing upon historical descriptions of the art form, theoretical debates from the postmodern shift in dance-making and personal anecdote, the article scrutinizes the notion of ‘self-expression’ and confronts flamenco’s enduring reputation as a dance of extravagant emotion, passion, spontaneity and authenticity. The article experiments with experiential and poetic modes of address to ruminate broadly on artisanship as a creative model for dance-makers, and proposes an interdisciplinary frame-of-mind for choreographers, from a time when traditional live performance was on pause.

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At-home administration of allergenic extracts

Journal of Allergy and Clinical Immunology ◽

10.1016/s0091-6749(95)70112-5 ◽

1995 ◽

Vol 95 (5) ◽

pp. 1061-1061 ◽

Cited By ~ 6

Author(s):

C FALLIERS

Keyword(s):

Allergenic Extracts ◽

Home Administration ◽

At Home

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Artificially Intelligent Physiotherapy

International Journal of Biomedical and Clinical Engineering ◽

10.4018/ijbce.2021010106 ◽

2021 ◽

Vol 10 (1) ◽

pp. 77-88

Author(s):

Sachin Pandurang Godse ◽

Shalini Singh ◽

Sonal Khule ◽

Shubham Chandrakant Wakhare ◽

Vedant Yadav

Keyword(s):

Artificial Intelligence ◽

Machine Learning ◽

Range Of Motion ◽

Real Time ◽

Severe Pain ◽

User Performance ◽

Computer Aided ◽

To Come ◽

And Performance ◽

At Home

Physiotherapy is the trending medication for curing bone-related injuries and pain. In many cases, due to sudden jerks or accidents, the patient might suffer from severe pain. Therefore, it is the miracle medication for curing patients. The aim here is to build a framework using artificial intelligence and machine learning for providing patients with a digitalized system for physiotherapy. Even though various computer-aided assessment of physiotherapy rehabilitation exist, recent approaches for computer-aided monitoring and performance lack versatility and robustness. In the authors' approach is to come up with proposition of an application which will record patient physiotherapy exercises and also provide personalized advice based on user performance for refinement of therapy. By using OpenPose Library, the system will detect angle between the joints, and depending upon the range of motion, it will guide patients in accomplishing physiotherapy at home. It will also suggest to patients different physio-exercises. With the help of OpenPose, it is possible to render patient images or real-time video.

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Home Azacitidine Administration in High Risk Myelodysplastic Syndromes: Favorable Results of a Pilot Study in 48 Patients

Blood ◽

10.1182/blood.v118.21.1719.1719 ◽

2011 ◽

Vol 118 (21) ◽

pp. 1719-1719

Author(s):

Sylvestre Guillevic ◽

Thibault Comont ◽

Jonathan Khalifa ◽

Christian Recher ◽

Daniel Adoue ◽

...

Keyword(s):

Quality Of Life ◽

High Risk ◽

Myelodysplastic Syndromes ◽

Conflicts Of Interest ◽

Age Distribution ◽

Hospital Administration ◽

Number Of Cycles ◽

Home Administration ◽

At Home

Abstract Abstract 1719 Background: Myelodysplastic syndromes (MDS) affect elderly patients. Azacitidine represents the gold standard treatment of high risk MDS. French health organization allows home chemotherapy administration after the first cycle of treatment. We decided to develop a home administration program of this drug. Moreover we hypothesized that this modality of treatment will improve patient's quality of life. Patients and methods: after one cycle in hospitalization, high risk MDS patients who were agree to receive home chemotherapy were included in the study. As recommended each first day of Azacitidine cycle was still administrated at hospital. Due to drug instability a quality statement was created to control all steps of administration (including storage temperature before administration). Feasibility and safety were evaluated. Comparison between home or hospital administration was performed: number of cycles, dose, tolerance, problems of administration. Results: 68 patients were included in the home chemotherapy program, 75% were MDS patients and 48 received Azacitidine. Age distribution was 7 patients 60/69 yrs (14%), 22 patients 70/79 yrs (46%) and 19 patients 80–89 yrs (40%). More than 2000 days of hospitalization were performed at home during a 18-month period. Similar median number of cycles and delays were observed in the two groups as well as same level of adverse events and hospitalizations between 2 cycles. In few cases administration was not possible at home due to unresolved infection, cytopenia or drug availability (excessive time between preparation and distribution). No patient was excluded of this program. Discussion and conclusion: home administration of Azacitidine was safe and feasible. All patients agree to continue this modality of administration and high level of satisfaction was observed. Next step will consist in a randomized study to compare quality of life between home and hospital administration of the drug. For this population of patient home treatment will represent an alternative which could improve quality of life as observed for children in ALL (1) or in colorectal cancer (2). Disclosures: No relevant conflicts of interest to declare.

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Quantifying cognitive aging and performance with at-home gamified mobile EEG

2018 International Workshop on Pattern Recognition in Neuroimaging (PRNI) ◽

10.1109/prni.2018.8423954 ◽

2018 ◽

Cited By ~ 1

Author(s):

Brian Murphy ◽

Andrea Aleni ◽

Brahim Belaoucha ◽

John Dyer ◽

Hugh Nolan

Keyword(s):

Cognitive Aging ◽

And Performance ◽

At Home

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Performance of a Multisensor Smart Ring to Evaluate Sleep: In-Lab and Home-Based Evaluation Relative to Polysomnography and Actigraphy: Importance of Generalized Versus Personalized Scoring

10.1101/2021.12.22.21268267 ◽

2022 ◽

Author(s):

Michael Grandner ◽

Zohar Bromberg ◽

Zoe Morrell ◽

Arnulf Graf ◽

Stephen Hutchinson ◽

...

Keyword(s):

Rem Sleep ◽

Detection Accuracy ◽

Good Sensitivity ◽

Novel Device ◽

Home Based ◽

Sleep Assessment ◽

Wake Detection ◽

Single Night ◽

And Performance ◽

At Home

Study Objectives: Wearable sleep technology has rapidly expanded across the consumer market due to advances in technology and increased interest in personalized sleep assessment to improve health and performance. In this study, we tested the performance of a novel device, alongside other commercial wearables, against in-lab and at-home polysomnography (PSG). Methods: 36 healthy adults were assessed across 77 nights while wearing the Happy Ring, as well as the Actiwatch, Fitbit, Whoop, and Oura Ring devices. Subjects participated in a single night of in-lab PSG and 2 nights of at-home PSG. The Happy Ring includes sensors for skin conductance, movement, heart rate, and skin temperature. Epoch-by-epoch analyses compared the wearable de-vices to both in-lab and at-home PSG. The Happy Ring utilized two machine-learning derived scor-ing algorithms: a generalized algorithm that applied broadly to all users, and a personalized algorithm that adapted to the data of individual subjects. Results: Compared to in-lab PSG, the generalized and personalized algorithms demonstrated good sensitivity (94% and 93%, respectively) and specificity (70% and 83%, respectively). The other wearable devices also demonstrated good sensitivity (89%-94%) but lower specificity (19%-54%), relative to the Happy Ring. Accuracy was 91% for generalized and 92% for personalized algorithms, compared to other devices that ranged from 84%-88%. The generalized algorithm demonstrated an accuracy of 67%, 85%, and 85% for light, deep, and REM sleep, respectively. The personalized algorithm was 81%, 95%, and 92% accurate for light, deep, and REM sleep, re-spectively. Conclusions: The Happy Ring performed well at home and in the lab, especially regarding sleep-wake detection. The personalized algorithm demonstrated improved detection accuracy over the generalized approach and other devices, suggesting that adaptable, dynamic algorithms can enhance sleep detection accuracy.

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LONGITUDINAL COMPARISON OF IN CLINIC AND AT HOME ADMINISTRATION OF THE COGSTATE BRIEF BATTERY AND DEMONSTRATED PRACTICE EFFECTS IN THE MAYO CLINIC STUDY OF AGING

Journal of Prevention of Alzheimer's Disease ◽

10.14283/jpad.2019.35 ◽

2019 ◽

pp. 1-8

Author(s):

N.H. Stricker ◽

E.S. Lundt ◽

E.C. Alden ◽

S.M. Albertson ◽

M.M. Machulda ◽

...

Keyword(s):

Mayo Clinic ◽

Cognitive Aging ◽

Population Based ◽

Practice Effects ◽

Population Based Study ◽

Linear Mixed Effects ◽

Longitudinal Comparison ◽

Home Administration ◽

Clinic Study ◽

At Home

Background: The Cogstate Brief Battery (CBB) is a computerized cognitive assessment that can be completed in clinic or at home. Design/Objective: This retrospective study investigated whether practice effects / performance trajectories of the CBB differ by location of administration. Participants/Setting: Participants included 1439 cognitively unimpaired individuals age 50-75 at baseline participating in the Mayo Clinic Study of Aging (MCSA), a population-based study of cognitive aging. Sixty three percent of participants completed the CBB in clinic only and 37% completed CBB both in clinic and at home. Measurements: The CBB consists of four subtests: Detection, Identification, One Card Learning, and One Back. Linear mixed effects models were used to evaluate performance trajectories in clinic and at home. Results: Results demonstrated significant practice effects between sessions 1 to 2 for most CBB measures. Practice effects continued over subsequent testing sessions, to a lesser degree. Average practice effects/trajectories were similar for each location (home vs. clinic). One Card Learning and One Back accuracy performances were lower at home than in clinic, and this difference was large in magnitude for One Card Learning accuracy. Participants performed faster at home on Detection reaction time, although this difference was small in magnitude. Conclusions: Results suggest the location where the CBB is completed has an important impact on performance, particularly for One Card Learning accuracy, and there are practice effects across repeated sessions that are similar regardless of where testing is completed.

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Home Urine Cultures by the Dip-Strip Method: Results in 289 Cultures

PEDIATRICS ◽

10.1542/peds.58.4.508 ◽

1976 ◽

Vol 58 (4) ◽

pp. 508-512

Author(s):

Jay Y. Gillenwater ◽

Charles H. Gleason ◽

Jacob A. Lohr ◽

Donald Marion

Keyword(s):

False Positive ◽

Urine Specimen ◽

Strip Method ◽

Home Testing ◽

Significant Bacteriuria ◽

Positive Results ◽

Home Administration ◽

At Home

Bacteriuria screening on 289 children was performed by their parents by means of a self-administered dip-strip culture which was inoculated, incubated, and interpreted in the home. Simultaneous pour-plate quantitative cultures and laboratory-tested dip-strip cultures were done on the same urine specimen which had been tested at home. The dip-strip culture was reliable (89%) in detecting significant bacteriuria with home administration and interpretation. Only 1.6% false-positive results occurred in the home testing. The dip-strip home cultures are an effective way for screening or follow-up of patients with bacteriuria.

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