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1. From Instantaneous to Predictive Control: A More Intuitive and Tunable MPC Formulation for Robot Manipulators

Author

Ubbink, Johan, Viljoen, Ruan, Aertbeliën, Erwin, Decré, Wilm, and De Schutter, Joris

Subjects
Computer Science - Robotics
Abstract

Model predictive control (MPC) has become increasingly popular for the control of robot manipulators due to its improved performance compared to instantaneous control approaches. However, tuning these controllers remains a considerable hurdle. To address this hurdle, we propose a practical MPC formulation which retains the more interpretable tuning parameters of the instantaneous control approach while enhancing the performance through a prediction horizon. The formulation is motivated at hand of a simple example, highlighting the practical tuning challenges associated with typical MPC approaches and showing how the proposed formulation alleviates these challenges. Furthermore, the formulation is validated on a surface-following task, illustrating its applicability to industrially relevant scenarios. Although the research is presented in the context of robot manipulator control, we anticipate that the formulation is more broadly applicable., Comment: Accepted for the IEEE Robotics and Automation Letters

Published
2024
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3. Differentiable Predictive Control for Robotics: A Data-Driven Predictive Safety Filter Approach

Author

Viljoen, John, Cortez, Wenceslao Shaw, Drgona, Jan, East, Sebastian, Tomizuka, Masayoshi, and Vrabie, Draguna

Subjects
Computer Science - Robotics
Abstract

Model Predictive Control (MPC) is effective at generating safe control strategies in constrained scenarios, at the cost of computational complexity. This is especially the case in robots that require high sampling rates and have limited computing resources. Differentiable Predictive Control (DPC) trains offline a neural network approximation of the parametric MPC problem leading to computationally efficient online control laws at the cost of losing safety guarantees. DPC requires a differentiable model, and performs poorly when poorly conditioned. In this paper we propose a system decomposition technique based on relative degree to overcome this. We also develop a novel safe set generation technique based on the DPC training dataset and a novel event-triggered predictive safety filter which promotes convergence towards the safe set. Our empirical results on a quadcopter demonstrate that the DPC control laws have comparable performance to the state-of-the-art MPC whilst having up to three orders of magnitude reduction in computation time and satisfy safety requirements in a scenario that DPC was not trained on., Comment: 8 Pages, 6 figures

Published
2024

4. Learning deformable linear object dynamics from a single trajectory

Author

Mamedov, Shamil, Geist, A. René, Viljoen, Ruan, Trimpe, Sebastian, and Swevers, Jan

Subjects
Computer Science - Robotics
Abstract

The manipulation of deformable linear objects (DLOs) via model-based control requires an accurate and computationally efficient dynamics model. Yet, data-driven DLO dynamics models require large training data sets while their predictions often do not generalize, whereas physics-based models rely on good approximations of physical phenomena and often lack accuracy. To address these challenges, we propose a physics-informed neural ODE capable of predicting agile movements with significantly less data and hyper-parameter tuning. In particular, we model DLOs as serial chains of rigid bodies interconnected by passive elastic joints in which interaction forces are predicted by neural networks. The proposed model accurately predicts the motion of an robotically-actuated aluminium rod and an elastic foam cylinder after being trained on only thirty seconds of data. The project code and data are available at: \url{https://tinyurl.com/neuralprba}

Published
2024

10. Flow through an Electromechanical Tube Driven by a Voltage

Author

Qu, Yilin, Viljoen, Hendrik J., and Yang, Jiashi

Subjects
Physics - Applied Physics
Abstract

We study the axial flow of a nonviscous and incompressible fluid in a circular tube made from an electromechanical material. The tube is driven into radial motion by an electric voltage across its thickness. A theoretical analysis is performed. An analytical solution is obtained from the relevant equations of fluid mechanics and piezoelectric shells. The solution shows that when the tube is contracting or expanding radially under a properly designed voltage, the fluid can flow along the tube axially. Hence the tube can function as a pump for driving the fluid. The effects of various physical parameters on the velocity profile of the flow are examined.

Published
2023

15. Greater exposure to PM2.5 and PM10 was associated with lower corneal nerve measures: the Maastricht study - a cross-sectional study

Author

Mokhtar, Sara B. A., Viljoen, Jessica, van der Kallen, Carla J. H., Berendschot, Tos T. J. M., Dagnelie, Pieter C., Albers, Jeroen D., Soeterboek, Jens, Scarpa, Fabio, Colonna, Alessia, van der Heide, Frank C. T., van Greevenbroek, Marleen M. J., Bosm, Hans, Kroon, Abraham A., Nuijts, Rudy M. M. A., Gijs, Marlies, Lakerveld, Jeroen, Malik, Rayaz A., Webers, Carroll A. B., Stehouwer, Coen D. A., and Koster, Annemarie

Published
2024
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18. “As a patient I do not belong to the clinic, I belong to the community”: co-developing multi-level, person-centred tuberculosis stigma interventions in Cape Town, South Africa

Author

Hayward, Sally E., Vanqa, Nosivuyile, Makanda, Goodman, Tisile, Phumeza, Ngwatyu, Luthando, Foster, Isabel, Mcinziba, Abenathi A., Biewer, Amanda, Mbuyamba, Rachel, Galloway, Michelle, Bunyula, Siyavuya, van der Westhuizen, Helene-Mari, Friedland, Jon S., Medina-Marino, Andrew, Viljoen, Lario, Schoeman, Ingrid, Hoddinott, Graeme, and Nathavitharana, Ruvandhi R.

Published
2024
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22. Children and providers’ perspectives on once-weekly rifapentine and isoniazid TB preventive therapy

Author

A.J. Marthinus, D.T. Wademan, Z. Saule, Y. Hirsch-Moverman, L. Viljoen, J. Winckler, L. van der Laan, M. Palmer, S.L. Barnabas, R. Boyd, A.C. Hesseling, and G. Hoddinott

Subjects
paediatric tb, tuberculosis, ltbi, prevention, control programme, hiv, Diseases of the respiratory system, RC705-779
Abstract

BACKGROUND: TB preventive treatment (TPT) prevents the development of TB disease in individuals at risk of progression from infection to disease. However, implementation of TPT for children is poor in most high-burden settings. The long duration and pill burden of the 6-month once-daily isoniazid regimen (6H) pose significant barriers to completion. We aimed to understand children’s, caregivers’, and healthcare providers’ experiences of the 12-week once-weekly rifapentine and isoniazid (3HP) regimen using a dispersible tablet formulation in South Africa. METHODS: Serial, in-depth qualitative interviews with 20 child-caregiver dyads, including 5 children living with HIV (CLWH) and 9 healthcare providers across two study sites implementing a pharmacokinetic and safety trial of 3HP, were analysed deductively. RESULTS: Of those with experience using both 3HP and 6H, caregivers and healthcare providers preferred 3HP, and study participants reported that the 3HP formulation was more palatable and easier to prepare and administer. Caregivers and healthcare providers were concerned about optimally integrating 3HP into routine care, primarily due to its once-weekly administration. Children with HIV preferred the once-daily 6H regimen for its ease of use with their daily antiretroviral therapy. CONCLUSIONS: 3HP reduced the administration burden for children and their caregivers. Once weekly, 3HP dosing will require education and adherence support to ensure completion.

Published
2025
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23. A combined recombinase polymerase amplification CRISPR/Cas12a assay for detection of Fusarium oxysporum f. sp. cubense tropical race 4

Author

Megan Ceris Matthews, Jos van der Linden, Isabelle Robène, Samuel Rozsasi, Beatrix Coetzee, Manuela Campa, Johan Burger, Uzoma Nobel Akwuruoha, Ndubuisi Johnkennedy Madufor, Willem Perold, Umezuruike Linus Opara, Altus Viljoen, and Diane Mostert

Subjects
Fusarium oxysporum f. sp. cubense tropical race 4, CRISPR/Cas12a, Banana Fusarium wilt, Disease diagnosis, Rapid detection, Medicine, Science
Abstract

Abstract The soilborne pathogen Fusarium oxysporum f. sp. cubense tropical race 4 (Foc TR4) is currently devastating banana production worldwide. Once introduced, it is not possible to eradicate the pathogen from soils where it can survive for decades. The only management option available then is to replace Foc TR4-susceptible with -resistant varieties. Timely detection of the pathogen, however, is an important strategy to prevent the introduction of Foc TR4 into new areas and prevent its spread from infested sites. In this study, a single-tube detection technique was developed by combining recombinase polymerase amplification (RPA) and clustered regularly interspaced short palindromic repeats (CRISPR)/Cas12a technology (RPA-Cas12a) for detection of Foc TR4. The RPA-Cas12a assay was conducted isothermally, had a sensitivity of up to 10 fg target DNA and did not cross react with any of the 76 non-target isolates included in the specificity testing. The RPA-Cas12a assay detected Foc TR4 from naturally infected banana samples collected in the field and visualization was possible with the naked eye under LED blue light transillumination. The method can be integrated with inexpensive fluorescent or electronic detection devices to accelerate Foc TR4 in-field detection and, thereby, fast-track disease containment strategies.

Published
2025
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24. The efficacy of roof-based adaptations to reduce heat stress exposure in informal dwellings

Author

Ethan Viljoen and Jan Hugo

Subjects
informal settlements, climate change adaptation, thermal comfort, heat stress, thermal simulation, Building construction, TH1-9745
Abstract

While climate change represents a universal threat to the sustainable growth efforts globally, its impacts are not experienced equally with marginalised population groups, especially informal settlement residents, being highly exposed to its negative effects. Despite being widely acknowledged that the built environment is a major driver of inhabitants’ exposure to climate change-related hazards, limited research has been undertaken on developing heat stress adaptation measures for informal settlements in Southern Africa. Furthermore, Africa’s projected rapid urbanisation and limited adequate housing provision point to a significant growth of informal settlements, particularly within the Southern African context. The dearth of available information on household level climate change adaptation in informal settlements prompted this study to investigate the efficacy of roof-based adaptation strategies to lower heat stress exposure in informal dwellings in Tshwane, South Africa. As an explorative study with a quantitative focus, the study uses a digital simulation research design to assess the efficacy of four climate change adaptation strategies to lower heat stress exposure in two typical informal dwellings as case studies. While informal settlements have diverse building typologies, informal dwellings – frame structures cladded with steel sheeting without any thermal insulation – are widely used and highly vulnerable. In contrast to typical adaptation measures proposed for informal dwellings, the main findings highlight the benefit of high thermal mass coupled with shading strategies to lower thermal amplitudes and lower excessive heat stress exposure. Consequently, the article contributes to the current climate change adaptation discourse, in particular its application in informal settlements.

Published
2024
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26. Autism Caregiver Coaching in Africa (ACACIA): Protocol for a type 1-hybrid effectiveness-implementation trial

Author

Franz, Lauren, Viljoen, Marisa, Askew, Sandy, Brown, Musaddiqah, Dawson, Geraldine, Di Martino, J Matias, Sapiro, Guillermo, Sebolai, Katlego, Seris, Noleen, Shabalala, Nokuthula, Stahmer, Aubyn, Turner, Elizabeth L, and de Vries, Petrus J

Subjects
Health Services and Systems, Health Sciences, Clinical Research, Autism, Intellectual and Developmental Disabilities (IDD), Prevention, Behavioral and Social Science, Brain Disorders, Clinical Trials and Supportive Activities, Pediatric, Mental Health, Quality Education, Child, Child, Preschool, Humans, Acacia, Autistic Disorder, Caregivers, Mentoring, Randomized Controlled Trials as Topic, South Africa, Infant, General Science & Technology
Abstract

BackgroundWhile early autism intervention can significantly improve outcomes, gaps in implementation exist globally. These gaps are clearest in Africa, where forty percent of the world's children will live by 2050. Task-sharing early intervention to non-specialists is a key implementation strategy, given the lack of specialists in Africa. Naturalistic Developmental Behavioral Interventions (NDBI) are a class of early autism intervention that can be delivered by caregivers. As a foundational step to address the early autism intervention gap, we adapted a non-specialist delivered caregiver coaching NDBI for the South African context, and pre-piloted this cascaded task-sharing approach in an existing system of care.ObjectivesFirst, we will test the effectiveness of the caregiver coaching NDBI compared to usual care. Second, we will describe coaching implementation factors within the Western Cape Department of Education in South Africa.MethodsThis is a type 1 effectiveness-implementation hybrid design; assessor-blinded, group randomized controlled trial. Participants include 150 autistic children (18-72 months) and their caregivers who live in Cape Town, South Africa, and those involved in intervention implementation. Early Childhood Development practitioners, employed by the Department of Education, will deliver 12, one hour, coaching sessions to the intervention group. The control group will receive usual care. Distal co-primary outcomes include the Communication Domain Standard Score (Vineland Adaptive Behavior Scales, Third Edition) and the Language and Communication Developmental Quotient (Griffiths Scales of Child Development, Third Edition). Proximal secondary outcome include caregiver strategies measured by the sum of five items from the Joint Engagement Rating Inventory. We will describe key implementation determinants.ResultsParticipant enrolment started in April 2023. Estimated primary completion date is March 2027.ConclusionThe ACACIA trial will determine whether a cascaded task-sharing intervention delivered in an educational setting leads to meaningful improvements in communication abilities of autistic children, and identify implementation barriers and facilitators.Trial registrationNCT05551728 in Clinical Trial Registry (https://clinicaltrials.gov).

Published
2024

28. Beyond Intuition, a Framework for Applying GPs to Real-World Data

Author

Tazi, Kenza, Lin, Jihao Andreas, Viljoen, Ross, Gardner, Alex, John, ST, Ge, Hong, and Turner, Richard E.

Subjects
Computer Science - Machine Learning, Statistics - Machine Learning
Abstract

Gaussian Processes (GPs) offer an attractive method for regression over small, structured and correlated datasets. However, their deployment is hindered by computational costs and limited guidelines on how to apply GPs beyond simple low-dimensional datasets. We propose a framework to identify the suitability of GPs to a given problem and how to set up a robust and well-specified GP model. The guidelines formalise the decisions of experienced GP practitioners, with an emphasis on kernel design and options for computational scalability. The framework is then applied to a case study of glacier elevation change yielding more accurate results at test time., Comment: Accepted at the ICML Workshop on Structured Probabilistic Inference and Generative Modelling (2023)

Published
2023

29. Introducing a unique animal ID and digital life history museum for wildlife metadata

Author

Martin Wikelski, Michael Quetting, John Bates, Tanya Berger‐Wolf, Gil Bohrer, Luca Börger, Taylor Chapple, Margaret C. Crofoot, Sarah C. Davidson, Dina K. N. Dechmann, Diego Ellis‐Soto, Elizabeth R. Ellwood, Wolfgang Fiedler, Andrea Flack, Barbara Fruth, Novella Franconi, Rasmus Worsøe Havmøller, Julian Hirt, Nigel E. Hussey, Fabiola Iannarilli, Matthias Landwehr, Maximilian E. Müller, Thomas Mueller, Uschi Mueller, Ruth Y. Oliver, Jesko Partecke, Ivan Pokrovsky, Liya Pokrovskaya, Dustin R. Rubenstein, Christian Rutz, Kamran Safi, Andrea Santangeli, O. Louis vanSchalkwyk, Ana M. M. Sequeira, Sherub Sherub, Tharmalingam Ramesh, Pauli Viljoen, Kaja A. Wasik, Timm A. Wild, Scott Yanco, and Roland Kays

Subjects
animal passport, biologging, community science, life history, lifetime tracking, Ecology, QH540-549.5, Evolution, QH359-425
Abstract

Abstract Over the past five decades, a large number of wild animals have been individually identified by various observation systems and/or temporary tracking methods, providing unparalleled insights into their lives over both time and space. However, so far there is no comprehensive record of uniquely individually identified animals nor where their data and metadata are stored, for example photos, physiological and genetic samples, disease screens, information on social relationships. Databases currently do not offer unique identifiers for living, individual wild animals, similar to the permanent ID labelling for deceased museum specimens. To address this problem, we introduce two new concepts: (1) a globally unique animal ID (UAID) available to define uniquely and individually identified animals archived in any database, including metadata archived at the time of publication; and (2) the digital ‘home’ for UAIDs, the Movebank Life History Museum (MoMu), storing and linking metadata, media, communications and other files associated with animals individually identified in the wild. MoMu will ensure that metadata are available for future generations, allowing permanent linkages to information in other databases. MoMu allows researchers to collect and store photos, behavioural records, genome data and/or resightings of UAIDed animals, encompassing information not easily included in structured datasets supported by existing databases. Metadata is uploaded through the Animal Tracker app, the MoMu website, by email from registered users or through an Application Programming Interface (API) from any database. Initially, records can be stored in a temporary folder similar to a field drawer, as naturalists routinely do. Later, researchers and specialists can curate these materials for individual animals, manage the secure sharing of sensitive information and, where appropriate, publish individual life histories with DOIs. The storage of such synthesized lifetime stories of wild animals under a UAID (unique identifier or ‘animal passport’) will support basic science, conservation efforts and public participation.

Published
2024
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31. Autism Caregiver Coaching in Africa (ACACIA): Protocol for a type 1-hybrid effectiveness-implementation trial.

Author

Franz, Lauren, Viljoen, Marisa, Askew, Sandy, Brown, Musaddiqah, Dawson, Geraldine, Di Martino, J Matias, Sapiro, Guillermo, Sebolai, Katlego, Seris, Noleen, Shabalala, Nokuthula, Stahmer, Aubyn, Turner, Elizabeth L, and de Vries, Petrus J

Abstract

BACKGROUND: While early autism intervention can significantly improve outcomes, gaps in implementation exist globally. These gaps are clearest in Africa, where forty percent of the world's children will live by 2050. Task-sharing early intervention to non-specialists is a key implementation strategy, given the lack of specialists in Africa. Naturalistic Developmental Behavioral Interventions (NDBI) are a class of early autism intervention that can be delivered by caregivers. As a foundational step to address the early autism intervention gap, we adapted a non-specialist delivered caregiver coaching NDBI for the South African context, and pre-piloted this cascaded task-sharing approach in an existing system of care. OBJECTIVES: First, we will test the effectiveness of the caregiver coaching NDBI compared to usual care. Second, we will describe coaching implementation factors within the Western Cape Department of Education in South Africa. METHODS: This is a type 1 effectiveness-implementation hybrid design; assessor-blinded, group randomized controlled trial. Participants include 150 autistic children (18-72 months) and their caregivers who live in Cape Town, South Africa, and those involved in intervention implementation. Early Childhood Development practitioners, employed by the Department of Education, will deliver 12, one hour, coaching sessions to the intervention group. The control group will receive usual care. Distal co-primary outcomes include the Communication Domain Standard Score (Vineland Adaptive Behavior Scales, Third Edition) and the Language and Communication Developmental Quotient (Griffiths Scales of Child Development, Third Edition). Proximal secondary outcome include caregiver strategies measured by the sum of five items from the Joint Engagement Rating Inventory. We will describe key implementation determinants. RESULTS: Participant enrolment started in April 2023. Estimated primary completion date is March 2027. CONCLUSION: The ACACIA trial will determine whether a cascaded task-sharing intervention delivered in an educational setting leads to meaningful improvements in communication abilities of autistic children, and identify implementation barriers and facilitators. TRIAL REGISTRATION: NCT05551728 in Clinical Trial Registry ( https://clinicaltrials.gov ).

Published
2023

32. Revisiting the relationship between surface and column-integrated chlorophyll-a concentrations in the Biogeochemical-Argo and satellite era

Author

Ella Poppy Tanner, Harry Ewin, Johannes J. Viljoen, and Robert J. W. Brewin

Subjects
phytoplankton, BGC-Argo, vertical structure, global, ocean colour, chlorophyll-a, Geophysics. Cosmic physics, QC801-809, Meteorology. Climatology, QC851-999
Abstract

Phytoplankton occupy the oceans’ euphotic zone and are responsible for its primary production; thus, our ability to monitor their patterns of abundance and physiology is vital for tracking ocean health. Ocean colour sensors mounted on satellites can monitor the surface patterns of phytoplankton daily at global scales but cannot see into the subsurface. Autonomous robotic platforms, like Biogeochemical-Argo (BGC-Argo) profiling floats, do not have the coverage of satellites but can monitor the subsurface. Combining these methods can help track phytoplankton patterns throughout the euphotic zone. In this study, using a global array of BGC-Argo floats (76,043 profiles, spanning from 2010 to 2023), we revisit empirical relationships between the surface and column-integrated concentrations of chlorophyll-a (a proxy for phytoplankton abundance and physiology), originally developed using ship-based profiling data. We show that these relationships agree well with BGC-Argo float data. We then extend the relationships, removing the binary switch in parameters between mixed and stratified waters and trophic conditions such that the column-integrated chlorophyll-a concentration can be estimated as a continuous function of surface chlorophyll-a and a proxy for stratification (we use the optical mixed-layer depth, the mixed-layer depth multiplied by the diffuse attenuation coefficient, which is proportional to the ratio of the euphotic depth to the mixed layer depth when it approaches 1). The new model is shown to perform well in statistical tests (using separate training and independent validation data, with a correlation coefficient >0.73) and has fewer parameters than the earlier version. The model can be applied to satellite observations of surface chlorophyll-a and diffuse attenuation, together with fields of mixed-layer depth (e.g., from Argo), to track changes in column-integrated chlorophyll-a. Such fields may be useful for obtaining estimates of primary production, evaluating ecosystem models, and quantifying trophic energy transfer. The model may also be used to evaluate the influence of changing stratification patterns on phytoplankton abundance and physiology.

Published
2024
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33. The raised fourth degree of the scale in Chopin's mazurkas

Author

Nicol Viljoen

Subjects
History of scholarship and learning. The humanities, AZ20-999, Political science
Abstract

This article focuses on che raised. fourth or Lydian scale degree of the scale in Chopin's mazurkas from the viewpoint of the stylised mazurka's fusion of folkloric elements and nineteenth-century tonal language. A brief exposition of the functions of the raised fourth and its integradon into the tonal structures of the mazurkas is given. An investigation of the raised fourth in three selected mazurkas· reveals a significant expansion of its role musi~al meaning, function and effect, As an authentic, modal, structural, motivic and form-generating device, it is in terms of integral co tonal elaboration, development, unification, colouration and contrast.

Published
2024

34. Tweeslagtige kerksangpraktyk in die Nederduits Gereformeerde Kerk: historiese perspektief op 'n eietydse vraagstuk

Author

Martina Viljoen

Subjects
History of scholarship and learning. The humanities, AZ20-999, Political science
Abstract

Die affiniteit vie 'n meer sentimentele, ervaringsgerigte geestelike lied is binne die NG Kerk as histories-religieuse verskynsel gevestig. 'n Analise van polemiek in Die Kerkbode toon dat die meerderheid lidmate ook tans liedere vanuit die jeugsangbundels b6 die tradisionele reformatoriese kerklied verkies. Nuucgekomponeerde liedere in hierdie bundels gryp beide in eeks en musikale styl hoofsaaklik rerug op negenriende-eeuse revival cradisies. In teensrelling met die algemene opvacting dat daar binne die NG Kerk onlangs noemenswaardige vernuwings met betrekking tot die kerklied-idioom plaasgevind bet, coon laasgenoemde binne die breer raamwerk van die kontempor~re himnodie nie alleen 'n opvallende gebrek aan relevansie nie, maar ook as konrekstuele blik op die kerk se onlangse geskiedenis 'n skreiende onbetrokkenheid.

Published
2024

35. 'Relevansie' in die sielkunde in Suid-Afrika

Author

Dawie Viljoen, Dap Louw, and Roelf Beukes

Subjects
History of scholarship and learning. The humanities, AZ20-999, Political science
Abstract

In hierdie artikel word 'n oorsig gebied oor die relevansiedebar in die sielkunde in Suid-Afrika. Die blyk dat die sielkundeprofessie as belangrike rolspeler in die sosiopolicieke konteks van die land gevestig moet word ten einde 'n bydrae tot 'n vreedsame en demokratiese samelewing re lewer. Om doelrreffende kruiskulturele dienste re kan !ewer, moec die universele beginsels van die sielkunde behou word. Dir is egcer ewe belangrik dat kulturele diversiteit erken en Afrosenrriese beginsels in die sielkunde geakkommodeer word. Aandag behoort geskenk re word aan die tekort aan sielkundiges uit nie-Westerse bevolkingsgroepe, terwyl samewerking met tradisionele genesers bevorder moet word. Daarby moet sielkundige dienste na die bree bevolking uitgebrei en sodanige dienste meer toeganklik gemaak en beter bemark word. Die voorafgaande het noodwendig implikasie vir die opleiding van sielkundiges.

Published
2024

36. Safe Imitation Learning of Nonlinear Model Predictive Control for Flexible Robots

Author

Mamedov, Shamil, Reiter, Rudolf, Azad, Seyed Mahdi Basiri, Viljoen, Ruan, Boedecker, Joschka, Diehl, Moritz, and Swevers, Jan

Subjects
Computer Science - Robotics, Computer Science - Machine Learning, Mathematics - Optimization and Control
Abstract

Flexible robots may overcome some of the industry's major challenges, such as enabling intrinsically safe human-robot collaboration and achieving a higher payload-to-mass ratio. However, controlling flexible robots is complicated due to their complex dynamics, which include oscillatory behavior and a high-dimensional state space. Nonlinear model predictive control (NMPC) offers an effective means to control such robots, but its significant computational demand often limits its application in real-time scenarios. To enable fast control of flexible robots, we propose a framework for a safe approximation of NMPC using imitation learning and a predictive safety filter. Our framework significantly reduces computation time while incurring a slight loss in performance. Compared to NMPC, our framework shows more than an eightfold improvement in computation time when controlling a three-dimensional flexible robot arm in simulation, all while guaranteeing safety constraints. Notably, our approach outperforms state-of-the-art reinforcement learning methods. The development of fast and safe approximate NMPC holds the potential to accelerate the adoption of flexible robots in industry. The project code is available at: tinyurl.com/anmpc4fr, Comment: Accepted to IROS 2024

Published
2022

38. Relationship Between Severity of Ischemia and Coronary Artery Disease for Different Stress Test Modalities in the ISCHEMIA Trial

Author

Reynolds, Harmony R., Page, Courtney B., Shaw, Leslee J., Berman, Daniel S., Chaitman, Bernard R., Picard, Michael H., Kwong, Raymond Y., Min, James K., Leipsic, Jonathon, Mancini, G.B. John, Budoff, Matthew J., Hague, Cameron J., Senior, Roxy, Szwed, Hanna, Bhargava, Balram, Celutkiene, Jelena, Gadkari, Milind, Bainey, Kevin R., Doerr, Rolf, Ramos, Ruben B., Ong, Peter, Naik, Sudhir R., Steg, Philippe Gabriel, Goetschalckx, Kaatje, Chow, Benjamin J.W., Scherrer-Crosbie, Marielle, Phillips, Lawrence, Mark, Daniel B., Spertus, John A., Alexander, Karen P., O’Brien, Sean M., Boden, William E., Bangalore, Sripal, Stone, Gregg W., Maron, David J., Hochman, Judith S., Mavromatis, Kreton, Linefsky, Jason, Miller, Todd, Banerjee, Subhash, Newman, Jonathan D., Donnino, Robert M., Saric, Muhamed, Abdul-Nour, Khaled, Stone, Peter H., Jang, James J., Yee, Gennie, Weitz, Steven, Arnold, Suzanne, James Henry, O’Keefe, Jr, Shapiro, Michael D., Fein, Steven A., Torosoff, Mikhail T., Lyubarova, Radmila, Mookherjee, Sulagna, Drzymalski, Krzysztof, McFalls, Edward O., Garcia, Santiago A., Bertog, Stefan C., Siddiqui, Rizwan A., Ishani, Areef, Hansen, Ronnell A., Georges Khouri, Michel, Goldberg, Jonathan L., Goldweit, Richard, Cohen, Ronny A., Mirrer, Brooks, Navarro, Victor, Winchester, David E., Kronenberg, Marvin, McFarren, Christopher, Heitner, John F., Dauber, Ira M., Cannan, Charles, Sudarshan, Sriram, Mehta, Puja K., McDaniel, Michael, Lerakis, Stamatios, Quyyumi, Arshed, Wenger, Nanette K., Hedgepeth, Chester M., Hurlburt, Heather, Rosen, Alan, Sahul, Zakir, Leung, Steve, Reda, Hassan, Ziada, Khaled, Setty, Sampoornima, Barua, Rajat S., Hage, Fadi, Davies, James E., Leesar, Massoud, Heo, Jaekyeong, Iskandrian, Amy, Al Solaiman, Firas, Singh, Satinder, Dajani, Khaled, El-Hajjar, Mohammad, Der Mesropian, Paul, Sacco, Joseph, McCandless, Brian, Orgera, Marisa, Sidhu, Mandeep S., Arif, Imran, Kerr, Hanan, Trejo (Gutierrez), Jorge F., Fletcher, Gerald, Lane, Gary E., Neeson, Lynn M., Parikh, Pragnesh P., Pollak, Peter M., Shapiro, Brian P., Landolfo, Kevin, Gemignani, Anthony, OʼRourke, Daniel, Meadows, Judith L., Call, Jason T., Hannan, Joseph, Bojar, Robert, Kumar, Deepti, Mukai, John, Martin, Edward T., Vorobiof, Gabriel, Moorman, Alec, Kinlay, Scott, Hamburger, Robert J., Rocco, Thomas P., Bhatt, Deepak L., Croce, Kevin, Quin, Jacquelyn A., Anumpa, Jati, Zenati, Marco, Faxon, David P., Rayos, Glenn, Seedhom, Ashraf, Sullenberger, Lance, Kumkumian, Gregory, Sedlis, Steven P., Donnino, Robert M., Lorin, Jeffrey, Tamis-Holland, Jacqueline E., Kornberg, Robert, Leber, Robert, Saba, Souheil, Lee, Michael W., Small, Delano R., Nona, Wassim, Alexander, Patrick B., Rehman, Iram, Badami, Umesh, Marzo, Kevin, Robbins, Inga H., Levite, Howard A., Shetty, Sanjay, Patel, Mayuri, Hamroff, Glenn S., Little, Raymond W., Zimbelman, Brandi D., Lui, Charles Y., Smith, Brigham R., Vezina, Daniel P., Khor, Lillian L., Abraham, Josephine D., Bull, David A., McKellar, Stephen H., Booth, David, Kotter, John, Abdel-Latif, Ahmed, Hu, Bob, Labovitz, Arthur J., Berlowitz, Michael, Rogal, Philip, Matar, Fadi, Caldeira, Christiano, Rodriguez, Fatima, Schnittger, Ingela, Fearon, William F., Deedwania, Prakash, Reddy, Kiran, Sweeny, Joseph, Spizzieri, Christopher, Hochberg, Claudia P., Salerno, William D., Wyman, Ray, Zarka, Amer, Shah, Anil V., Haldis, Thomas, Kohn, Jeffrey A., Girotra, Saket, Almousalli, Omar, Krishnam, Mayil S., Milliken, Jeffrey C., Patel, Pranav M., Seto, Arnold H., Harley, Kevin T., Gibson, Michael A., Allen, Byron J., Coram, Rita, Thomas, Sabu, Schwartz, Ronald G., Chen, Wei, El Shahawy, Mahfouz, Stafford, James, Abernethy, William B., Zurick, Andrew, Meyer, Thomas M., Morford, Ronald G., Rutkin, Bruce, Bokhari, Sabahat, Sokol, Seth I., Meisner, Jay, Hamzeh, Ihab, Misra, Arunima, Matthew, Wall, Jr, De Rosen, Veronica Lenges, Alam, Mahboob, Turner, Michael C., Mulhearn, Thomas J., Good, Arnold P., Shammas, Nicolas W., Chilton, Robert, Nguyen, Patricia K., Jezior, Matthew, Gordon, Paul C., Crain, Thomas, Stenberg, Robert, Pedalino, Ronald P., Wiesel, Joseph, Juang, George J., Al-Amoodi, Mohammed, Wohns, David, Lader, Ellis W., Mumma, Michael, Dharmarajan, Lekshmi, Joseph F.X., McGarvey, Jr, Downes, Thomas R., Luckasen, Gary J., Cheong, Benjamin, Potluri, Srinivasa, Mastouri, Ronald A., Breall, Jeffery A., Revtyak, George E., Bazeley, Jonathan W., Li, Dayuan, Giedd, Kenneth, Old, Wayne, Burt, Francis, Sokhon, Kozhaya, Gopal, Deepika, Valeti, Uma S., Kobashigawa, Jon, Chakanalil Govindan, Sajeev, Gopalan Nair, Rajesh, Nanjappa Manjunath, Cholenahally, Moorthy, Nagaraja, Cholenahally Manjunath, Satvic, Narayanappa, Suryaprakash, Pandit, Neeraj, Kumar Nath, Ranjit, Dwivedi, S.K., Narain, V.S., Chandra, Sharad, Wander, Gurpreet S., Tandon, Rohit, Ralhan, Sarju, Aslam, Naved, Goyal, Abhishek, Karthikeyan, G., Ramakrishnan, S., Seth, Sandeep, Yadav, Rakesh, Singh, Sandeep, Roy, Ambuj, Parakh, Neeraj, Kumar Verma, Sunil, Narang, Rajiv, Mishra, Sundeep, Naik, Nitish, Sharma, Gautam, Kumar Choudhary, Shiv, Patel, Chetan, Gulati, Gurpreet, Sharma, Sanjeev, Bahl, V.K., Mathew, Anoop, Punnoose, Eapen, Gadage, Siddharth, Umesh Pillay, Tapan, Satheesh, Santhosh, Mathur, Atul, Christopher, Johann, Menon, Rajeev, Kumar, Nirmal, Oomman, Abraham, Mao, Robert, Solomon, Hilda, Parveen Khan, Sajeeda, Grant, Purvez, Kachru, Ranjan, VK, Ajit Kumar, Ganapathi, Sanjay, K., Jayakumar, Sivadasanpillai, Harikrishnan, Sasidharan, Bijulal, T.R., Kapilamoorthy, Polamuri, Praneeth, Kaul, Upendra, Fox, Keith A.A., Carruthers, Kathryn, Elghamaz, Ahmed, Gurunathan, Sothinathan, Karogiannis, Nikolaos, Shah, Benoy N., Trimlett, Richard H.J., Rubens, Michael B., Nicol, Edward D., Mittal, Tarun K., Hampson, Reinette, Andreas Gamma, Reto, de Belder, Mark A., Thambyrajah, Jeet, Nageh, Thuraia, Davies, John R., Lindsay, Steven J., Kurian, John, Jamil, Haqeel, Raheem, Osama, Hoye, Angela, Donnelly, Patrick, Valec ka, Bernardas, Chauhan, Anoop, Barr, Craig, Alfakih, Khaled, Byrne, Jonathan, Webb, Ian, Henriksen, Peter, O. Kane, Peter, de Silva, Ramesh, Conway, Dwayne S.G., Sirker, Alexander A., Hoole, Stephen P., Witherow, Fraser N., Johnston, Nicola, Harbinson, Mark, Walsh, Simon, Douglas, Hanna, Luckie, Matthew, Sobolewska, Jolanta, Jeetley, Paramjit, Patel, Niket, Kotecha, Tushar, Travill, Christopher, Karimullah, Iqbal, Al-Bustami, Mahmud, Braganza, Denise, Henderson, Robert, Pointon, Kate, Naik, Surendra, Mathew, Thomas, Berry, Colin, Collison, Damien, Roditi, Giles, Moriarty, Andrew J., Glover, Jason D., Pradhan, Jiwan, Ghada, Mikhail, Francis, Darrel P., Dzavik, Vladimir, Diaz, Ariel, Rheault, Philippe, Barrero, Miguel, Gagné, Carl-Éric, Pépin-Dubois, Yanek, Costa, Ricardo, Tung Sia, Ying, Lemay, Catherine, Gisbert, Alejandro, Gervais, Pierre, Rheault, Alain, Carl Phaneuf, Denis, Gosselin, Gilbert, Garg, Pallav, Hessian, Renee C., Beanlands, Rob S., Davies, Richard F., Cheema, Asim N., Bagai, Akshay, Wald, Ron, Goodman, Shaun, Graham, John Joseph, Peterson, Mark, Chow, Chi-Ming, Abramson, Beth, Nazir Cheema, Asim, Tariq Vakani, Mohammad, Cha, James, Howarth, Andrew G., Wong, Graham, Uxa, Amar, Galiwango, Paul, Kassam, Saleem, Mukherjee, Ashok, Joseph Ricci, A., Lam, Andy, Me, Shamir, Udell, Jacob, Généreux, Philippe, Hameed, Adnan, Daba, Ledjalem, Hueb, Whady, Cury Rezende, Paulo, Ciappina Hueb, Alexandre, Emanuela, Paola, Smanio, Poggio, Schaan de Quadros, Alexandre, Abdala, Renato, Kalil, Karam, da Costa Vieira, José Luiz, Grossmann, Gabriel, Píccaro de Oliveira, Pedro, Bridi, Leonardo, Savaris, Simone, Vitola, João V., Cerci, Rodrigo J., Farias, Fabio R., Fernandes, Miguel M., Antonio Marin-Neto, José, Schmidt, André, de Oliveira Lima Filho, Moysés, Mendes Oliveira, Ricardo, Reynaldo, João, Chierice, Abbud, Polanczyk, Carísi A., Furtado, Mariana V., Smidt, Luis F., Carlos Carvalho, Antonio, Pucci, Gustavo, Lyra, Flavio, Rabelo, Alvaro, Junior, Alves, Dracoulakis, Marianna D.A., Lima, Rodolfo G.S.D., Figueiredo, Estevao, Ricardo Caramori, Paulo, Tumelero, Rogerio, Dall’Orto, Frederico, Mesquita, Claudio T., Colafranseschi, Alexandre S., Amarino C., Oliveira, Jr, Carvalho, Luiz A., Palazzo, Isabella C., Sousa, Andre S., da Silva, Expedito Eustáquio Ribeiro, Gabriel, Pedro, de Barros e Silva, Melo, de Pádua Silva Baptista, Luciana, Jamus Rodrigues, Marcelo, de Resende, Marcos Valério Coimbra, Francisco Saraiva, Jose, Costantini, Costantino, Ruzyllo, Witold, Demkow, Marcin, Pracon, Radoslaw, Kepka, Cezary, Teresinska, Anna, Kryczka, Karolina, Henzel, Jan, Solecki, Mateusz, Kaczmarska, Edyta, Mazurek, Tomasz, Drozdz, Jaroslaw, Czarniak, Bartosz, Frach, Malgorzata, Szymczyk, Konrad, Niedzwiecka, Iwona, Sobczak, Sebastian, Ciurus, Tomasz, Jakubowski, Piotr, Misztal-Teodorczyk, Magdalena, Teodorczyk, Dawid, Fratczak, Aleksandra, Szkopiak, Marcin, Lebioda, Patrycja, Wlodarczyk, Michal, Plachcinska, Anna, Kusmierek, Jacek, Miller, Magdalena, Marciniak, Halina, Wojtczak-Soska, Karolina, Łuczak, Katarzyna, Tarchalski, Tomasz, Cichocka-Radwan, Anna, Anna Szulczyk, Grazyna, Witkowski, Adam, Kukuła, Krzysztof, Celińska-Spodar, Małgorzta, Zalewska, Joanna, Gajos, Grzegorz, Bury, Krzysztof, Pruszczyk, Piotr, Roik, Marek, Łoboz-Grudzień, Krystyna, Sokalski, Leszek, Brzezińska, Barbara, Lesiak, Maciej, Łanocha, Magdalena, Reczuch, Krzysztof W., Kalarus, Zbigniew, Swiatkowski, Andrzej, Szulik, Mariola, Musial, Wlodzimierz J., Bockeria, Leo, Petrosyan, Karen, Trifonova, Tatiana, Chernyavskiy, Alexander M., Kretov, Evgeniy I., Grazhdankin, Igor O., Bershtein, Leonid L., Sayganov, Sergey A., Kuzmina-Krutetskaya, Anastasia M., Zbyshevskaya, Elizaveta V., Katamadze, Nana O., Demchenko, Elena A., Kozlov, Pavel S., Kozulin, Vikentiy Y., Lubinskaya, Ekaterina I., Lopez-Sendon, Jose, Castro, Almudena, Refoyo Salicio, Elena, Guzman, Gabriela, Galeote, Gabriel, Valbuena, Silvia, Peteiro, Jesús, Dolores Martínez-Ruíz, María, Pérez-Fernández, Ruth, Cuenca-Castillo, José J., Flores-Ríos, Xacobe, Prada-Delgado, Óscar, Barge-Caballero, Gonzalo, Ramon Gonzalez Juanatey, Jose, Souto Bayarri, Miguel, Pubull Nuñez, Virginia, Ocaranza Sanchez, Raymundo, Cid Alvarez, Belen, Peña Gil, Carlos, Martinez Monzonis, Amparo, Sionis, Alessandro, Vila Perales, Montserrat, Maria Padró, Josep, Serra Peñaranda, Antonio, García Picart, Joan, Ginel Iglesias, Antonino, Garcia-Moll Marimon, Xavier, Pons Lladó, Guillem, Carreras Costa, Francesc, Miro, Vicente, Diez, Jose L., Calvillo, Pilar, Marin Ortuño, F., Valdés Chávarri, M., Tello Montolliu, A., Pinar Bermudez, E., De La Morena, G., Gracida Blancas, Montserrat, Enrique Castillo Luena, Jose, Fernandez-Aviles, Francisco, Chen, Jiyan, Wu, Yongjian, Ma, Yitong, Yang, Yining, Ji, Zheng, Yang, Xinchun, Lin, Wenhua, Zeng, Hesong, Fu, Xin, Wang, Songtao, Cheng, Gong, Zhao, Yulan, Fang, Xuehua, Zeng, Qiutang, Su, Xi, Li, Qingxian, Nie, Shao-Ping, Yu, Qin, Wang, Jianʼan, Zhang, Shuyang, Liu, Zhenyu, Maggioni, Aldo P., Piero Perna, Gian, Marini, Marco, Gabrielli, Gabriele, Provasoli, Stefano, Verna, Edoardo, Monti, Lorenzo, Nardi, Barbara, Di Chiara, Antonio, Mortara, Andrea, Galvani, Marcello, Ottani, Filippo, Sicuro, Marco, Calabro, Paolo, Formisano, Tiziana, Tarantini, Giuseppe, Cucchini, Umberto, Luigi Andres, Anto, Racca, Emanuela, Briguori, Carlo, Amati, Roberto, Vergoni, William, Russo, Aldo, Fanelli, Raffaele, Poh, Kian-Keong, Chai, Ping, Lau, Titus, Loh, Joshua P., Tay, Edgar L., Teoh, Kristine, Teo, Lynette L., Ong, Ching-Ching, Wong, Raymond C., Loh, Poay-Huan, Kofidis, Theodoros, Xian Chan, Wan, Hui Chan, Koo, Foo, David, Loh Kwok Kong, Jason, Ching, Min, Er, Haider Jafary, Fahim, Chua, Terrance, Stumpf, Juergen, Matschke, Klaus, Simonis, Gregor, Kadalie, Clemens T., Sechtem, Udo, Christian Schulze, P., Goebel, Bjoern, Lenk, Karsten, Nickenig, Georg, Schuchlenz, Herwig, Weikl, Stefan, Marthe Lang, Kurt Huber, Irene, Jakl-Kotauschek, Gabriele, Vertes, Matyas Keltai Andras, Varga, Albert, Fontos, Geza, Merkely, Bela, Kerecsen, Gabor, Hinic, Sasa, Zdravkovic, Marija, Mudrenovic, Vladan, Crnokrak, Bogdan, Beleslin, Branko D., Boskovic, Nikola N., Petrovic, Marija T., Dobric, Milan R., Markovic, Zeljko Z., Mladenovic, Ana S., Cemerlic-Adjic, Nada, Davidović, Goran, Vučić, Rada, Nikola Dekleva, Milica, Stankovic, Goran, Apostolovic, Svetlana, Escobedo, Jorge, Baleón-Espinosa, Rubén, Campos-Santaolalla, Arturo S., Durán-Cortés, Elihú, Flores-Palacios, José M., García-Rincón, Andrés, Jiménez-Santos, Moisés, Peñafiel, Joaquín V., Ortega-Ramírez, José A., Valdespino-Estrada, Aquiles, Alexánderson Rosas, Erick, Murphy, Deirdre, Selvanayagam, Joseph B., Joseph, Majo X., Thambar, Suku T., Rankin, Jamie, Beltrame, John F., Hillis, Graham S., Thuaire, Christophe, Dutoiu, Téodora, Juliard, Jean-Michel, Slama, Michel S., El Mahmoud, Rami, Nicollet, Eric, Goube, Pascal, Barone-Rochette, Gilles, Furber, Alain, Bière, Loïc, Laucevicius, Elvin Kedhi, Aleksandras, Timmer, MD Jorik, Hermanides, Rik, Kaplan, Eliza, Riezebos, Robert K., Samadi, Pouneh, van Dongen, Elise, Niehe, Sander R., Suryapranata, Harry, van Vugt, Stijn, Cacela, Duarte, Santana, Ana, Fiarresga, Antonio, Sousa, Lidia, Marques, Hugo, Patricio, Lino, Bernanrdes, Luis, Rio, Pedro, Carvalho, Ramiro, Ferreira, Rui, Silva, Tiago, Rodrigues, Ines, Modas, Pedro, Portugal, Guilherme, Fragata, Jose, Pinto, Fausto J., Nobre Menezes, Miguel, Cantinho Lopes, Guilhermina, Gomes Almeida, Ana, Canas Silva, Pedro, Nobre, Angelo, Rita Francisco, Ana, Ferreira, Nuno, Lopes, Ricardo L., Diaz, Rafael, Guzman, Luis, César Figal, Julio, Méndiz, Oscar, Cortés, Claudia, René Favaloro, Roberto, Alvarez, Carlos, Courtis, Javier, Zeballos, Gabriela, Schiavi, Lilia, Rubio, Mariano, Alsweiler, Caroline, Patrick Devlin, Gerard, Fisher, Raewyn, Alan Huston Stewart, Ralph, Douglas White, Harvey, Benatar, Jocelyne, Kedev, Sasko, Peovska Mitevska, Irena, Srbinovska Kostovska, Elizabeta, Pejkov, Hristo, Held, Claes, Eggers, Kai, Frostfelt, Gunnar, Johnston, Nina, Olsowka, Maciej, Åkerblom, Axel, Soveri, Inga, Aspberg, Johannes, Beyar, Rafael, Nikolsky, Eugenia, Sharir, Tali, Elian, Dan, Kerner, Arthur, Massalha, Samia, Fukuda, Keiichi, Kohsaka, Shun, Yasuda, Satoshi, Nishimura, Shigeyuki, Van de Werf, Frans, Claes, Kathleen, Hung, Chung-Lieh, Yun, Chun-Ho, Jia-Yin Hou, Charles, Kuo, Jen-Yuan, Yeh, Hung-I, Hung, Ta-Chuan, Li, Jiun-Yi, Chien, Chen-Yen, Tsai, Cheng-Ting, Liu, Chun-Chieh, Yu, Fa-Chang, Lin, Yueh-Hung, Lan, Wei-Ren, Yen, Chih-Hsuan, Tsai, Jui-Peng, Sung, Kuo-Tzu, Ntsekhe, Mpiko, Pandie, Shaheen, Viljoen, Charle A., De Andrade, Marianne, Moccetti, Tiziano, Grazia Rossi, M., Abdelhamid, Magdy, Adel, Ahmed, Kamal, Ahmed, Mahrous, Hossam, El Kaffas, Sameh, El Fishawy, Hussien, Pop, Calin, Claudia, Matei, Popescu, Bogdan A., Ginghina, Carmen, Deleanu, Dan, Iliescu, Vlad A., Al-Mallah, Mouaz H., Aljzeeri, Ahmed, Najm, Hani, Alghamdi, Ali, Ramos, Walter Enrique Mogrovejo, Kuanprasert, Srun, Prommintikul, Arintaya, Nawarawong, Weerachai, Woragidpoonpol, Surin, Tepsuwan, Thitipong, Taksaudom, Noppon, Rimsukcharoenchai, Chataroon, Euathrongchit, Juntima, Wannasopha, Yutthaphan, Yamwong, Sukit, Sritara, Piyamitr, Aramcharoen, Suthara, Meemuk, Krissada, Khairuddin, Ahmad, Abd Hadi, Hafidz, Azmi Yahaya, Shaiful, Doan, John, Lee, Raven, Patel, Risha, Yang Cho, So, Milbrandt, Susan, Shelstad, Dawn, Kamath, Preeti, Tejani, Ishita, Quiles, Kirsten J., Schley, Allison, Golden, Heather, Osseni, Hermine, Wiyarand, Charlene, Douglass, Peter, Pomeroy, Hayley, Craft, Alexandra, Harvey, Bethany, Anaya, Olivia, Goold, Phoebe, Giovannone, Steven, Pritchard, Lori, Gans Paul Kennedy, Rosann, Ganesan, Shobana, Schlichting, David, Naher, Aynun, Stewart, Wendy L., Salmi, Kristin M., Johnson, Debra K., Herrmann, Rebekah R., Arges, Kristine, LeFevre, Melissa, Tomfohr, Jennifer, Ann Byrne, Kimberly, Zappernick, Taissa, Canada, Sallie, Kakade, Meghana, Mieses, Patricia, Cobos, Stanley E., Dwyer, Raven R., Espinosa, Dalisa, Quiles, Kirsten J., Rantinella, Magdalena, Rodriguez, Jessica, Mancilla, Olivia, Stinson, Susan, Weyand, Terry, Crook, Sherron C., Ho, Jean, Khan, Saadat, Mohamed, Mahmoud, Soltau, Mary R., Rose, Delsa K., Wimmer, Rebecca J., Desire, Sukie, Rashid, Fauzia, Asier, Senait, Patel, Keyur, Gillis, Jennifer, Manocchia, Megan, Moore, Susan, Congdon, Elizabeth, Brandt, Gail, Marchelletta, Nora, Wippler, Kristina, Halverson, Kimberly E., Roraff, Christine, Thorsen, Jonean, Ojajuni, Amarachi, Olurinde, Oni, Surineni, Kamalakar, Valaiyapathi, Badhma, Kartje, Carol M., Rawlins, Michele, Thomson, Jennifer, Colleen Rogge, Mary, Bunke, Julie, Unterbrink, Kendra, Fannon, Jacqueline, Burman, Cynthia, Dubin, Marcia F., Beaudry, Sarah, Tirado, Stephanie A., Halliday, Janet, Julian, Stephanie, Pamela, Stanford M. Lane, Jennifer L., Arsenault, Patricia, Sigel, Pamela, Brooks, Miriam, Douangvila, Ladda, Gevorgyan, Rubine, Ranjbaran, Fatima, Smith, Bryn, Ohmart, Carly, Ly, Samantha, Quinn, Margot C., Temiyasathit, Sara, Do, Jacquelyn, Tobin, Desiree, Langdon, Jennifer, Werner Bayer, Marcia, OʼMalley, Amanda, Orvis, Erin, Murphy, Mandy, Greenberg, Ann, Iraola, Margaret, Maranan, Leandro C., Malinay, Ammy, Edillo, Candice P., Ostrander, Ann, Wasmiller, Stephanie, Drewes, Wendy, Patel, Dipti, White, Jackie M., Hallam, Alison, Spooner, Benjamin J., Hollenweger, Linda M., Little, Holly, Little, Tiffany, Eskelson, Nona A., Taul, Yvonne, Rodgers, Caroline, Isaacs, Jennifer, Bulkley, Viktoria, Kaneshiro, Renee, Kirby, Bonnie J., Tran, Nhi N., Jahrsdorfer, Catherine, Yunis, Reem, Patro, Jhina, Vega, Antonia, Bloise-Adames, Hugo, Jimenez, Santa, Saint Vrestil, Nicole, Bhandari, Reyna, Schade, Danielle, Yost, Roxanne, Beardsley, Paula, Fine, Denise, Tancredi, Jana, Arakelian, Patricia, Mathus, Susan, OʼNeill, Deborah, Burkhardt, Joy, Hosino, Suellen, Lubyanaya, Oksana A., Salas, Jose D., Aguirre, Maria, Dhawan, Manu, Parra, Diana, Tran, Tri, Fowler-Lehman, Katie, Spitzer, Natalie, Riedberger, Casey, Weick, Catherine, Quiles, Kirsten J., Drum, Carrie, Miller-Cox, Kimberly, Ollinger, Amy, Capasso-Gulve, Elizabeth, Melanie Loehr, Alaine, Mosley, Marlowe, Heydari, Shirin, Lundeen, Andrea M., Karanjah, Edgar, Marfori, Wanda C., Hernandez-Rangel, Eduardo, Singh, Pam, Marie Webb, Anne, Fridell, Ellie, Wilson, Heidi, Kim, Angela, Wilmot, Patrick, Stevens, Ramona, Black, Loriane, Hull, Amber B., Lim, Olivia J., Tucker, Helen C., Putnam, Natasha C., Hall, Linda L., Cauthren, Tia, Tucker, Trish, Horton, Hollie, Orga, Jan, White, Joyce R., Baumann, Cynthia, Seeratan, Vidya, Jimenez, Magnolia, Schultz, Cidney, Russo, Jeanne, Huda, Zohra, Boan, Araceli, Hinton, Christine R., Archer, Beth A., Dionne, Julia S., Allardyce, Cheryl A., Sikora, Lindsey N., Czerniak, Jennifer H., Mull, Jennifer A., Ferguson, Elizabeth, Laube, Frances, Shammas, Gail A., Christensen, Lori, Park, Holly, Hecht, Joan, Vo, Davis, Hirsch, James, Bindeman, Jody, Salkind, Sara, Desimone, Lori-Ann, Felix-Stern, Lina, Gomes, Jassira, Gordon, Catherine, Mann, Aimee, McCreary, Theresa, Quiles, Kirsten J., Gopaul, Candace, Hultberg, Karen, Huk, Tauqir, Hussain, Afshan, Zambrano, Yesenia, Medina Rodriguez, Sarah, Milner, Trudie, Mulder, Abbey, Van Oosterhout, Stacie, Meyer, Martha, Clapp, Nancy L., Barrentine, Heather, Jose, Jenne M., Manchery, Jenne, McKinney, Vera, Schwarz, Linda, Kaczkowski, Scott M., Jaskowiak, Adam J., Klitch, Joel, Dees, Debra, Vasquez, Precilia, Hannemann, Elise L., Mae Foltz, Judy, DeRosa, Emily, Jorgenson, Beth, Riestenberg-Smith, Joyce, Bariciano, Rebecca, Waldron, Jessica, Mayon, Michelle, Ann Peichel, Gretchen, Starks, Brandy, Garcia, Lucilla, Thottam, Maria, Anand, Anjali, Raj, Janitha, Ravindran, Reshma, Rajalekshmi, VS, Nataraj, Nandita, Bajaj, Sheromani, Yadav, Vandana, Mishra, Girish, Tewari, Roma, Mishra, Meenakshi, Patel, Shivali, Singh, Suman, Kaur, Baljeet, Gupta, Sonika, Suvarna, Chandini, Mannekkattukudy Kurian, Binoy, Rupesh Karwa, Sheetal, Kolhe, Suvarna, Vindhya, R.J., Jain, Peeyush, Seth, Ashok, Singh Meharwal, Zile, Verma, Atul, Bhatia, Mona, Sachdeva, Ankush, Indira Devi, Thounaojam, Jungla, Nungshi, Manjula Rani, K., Sowjanya Reddy, M., Preethi, K., Sidh, Rinu R., Priya, Vamshi, Preethi, Kotiboinna, Hande, Shweta, Dubey, Abhishek, Rawat, Vineeth, Kavita, Chacko, CP Manas, Babu, Suresh, Reddy, Sowjanya, Rani, Manjula, Arambam, Priyadarshani, Singh, Bebek, Young, Grace M., Kinsey, Christopher, Kavalakkat, Raisa, Evans, Jo, Hassan, Ikraam, Williams, Sarah, Holland, Kim, Swan, Karen, Atkinson, Bev, Kunhunny, Swapna, Atkinson, Craig, Krannila, Carita, Vinod, Manitha, Chaytor, Lisa, Cox, Leanne, Morrow, Julie, Rowe, Kay, Kelly, Stephanie, Regan, Susan, Turnbull, Dawn, Fleming, Catherine, Ghosh, Arijit, Gratrix, Karen, Preston, Stephen, Cartwright, Anne, Knightonc, Abigail, Martin, Katherine, Flint, Laura, Harrison, James, Lakeman, Nicki, Ljubez, Anja, Wright, Judith, Exley, Donna, Andiapen, Mervyn, Richards, Amy J., Wong, Lisa, Munro, Melanie J., McEvoy, Michelle, Brown, Caroline, Charles, Thabitha, Kolakaluri, Laurel, Phillips, Hannah, Morby, Louise, Hallett, Karen, Corbett, Carolyn, Winstanley, Lynne, Smit, Angelique, Gent, Susan, Hussain, Nafisa, Haines, Fiona, Taaffe, Joanne, Burton, Jane, Colton, Maria, King, Rachel, Brown, Ammani, Docherty, Andrew, McCloy, Lisa, Robb, Kate, Paterson, Craig, Crawford, Wenda, Kelly, Joanne, McGregor, Lorraine, Mackin, Anne, Knight, Janet P., Bose, Tuhina, Proietti, Anna, Brousseau, Myriam, Corfias, Magalie, Blaise, Patricia, Harvey, Luc, Alarie, Patricia, Arcand, Linda, Roy, Isabelle, Montpetit, Estelle, Drouin, Katia, Bergeron, Christine, Shelley, Christine, Masson, Christine, Carr, Sandy, Bone, Catherine, Moga, Ermina, Kourzenkova, Janetta, Walter, Olga, Hogg, Norma, Welsh, Suzanne, 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Santos, Marco, Germann, Amanda, Gomes, Vitor, Homem, Rosa, Magedanz, Ellen, Laimer, Rosane, Tognon, Alexandre, Santos, Roberta P., Yumi Okada, Mariana, Paula Batista, Ana, Nogueira Rabaça, Aline, Miranda Trama, Larissa, Silva, Talita, de Souza Ormundo, Camila Thais, Vicente, Carla, Pinheiro, Caroline, Komar, Daniele, Walesiak, Olga, Malinowska, Katarzyna, Maksym, Jakub, Wojtera, Karolina, Fojt, Anna, Szczerba, Ewa, Swiderek, Marta, Wojtala, Ewelina, Karwowski, Jaroslaw, Łabyk, Andrzej, Szramowska, Agnieszka, Zdończyk, Olga, Jaroch, Joanna, Kolodziej, Adam, Marcinkiewicz-Siemion, Marta, Bockeria, Olga, Kudzoeva, Zalina, Aripova, Nodira, Naryshkin, Ivan A., Kuleshova, Alena, Malaev, Dastan, Subbotina, Irina, Gumerova, Victoria, Nikolaeva, Olga B., Fernández-Figares, Pharm, Virginia, Alonso-Álvarez, Moisés Blanco-Calvo Encarnación, García-González, Paula, Seijas Amigo, Jose, Fernández Martínez, Begoña Igual, Ana, Romero Aniorte, M. Quintana Giner A.I., Rivera Caravaca, J.M., Cañavate, Olga, Guerrero, Sonia, Riera, Silvia, Lasala, Maria, Lorenzo, Maria, Sobrino, Olga, Vazquez, Alexandra, Dong, Haojian, He, Peiyu, Xia, Chunli, Yang, Junqing, Zhong, Qi, Tian, Yanmeng, Li, Dongze, Li, Xiaomei, Ma, Xiang, Yu, Zixiang, Zhao, Qian, Li, Chunguang, Zhang, Lei, Zhao, Yu, Zhu, Bolin, Chen, Mulei, Chi, Hongjie, Wang, Yang, Zhang, Jing, Jing, Rui, Liu, Jingjing, Zhou, Qiang, Xu, Chang, Li, Zhuxi, Li, Junhua, Xiong, Luyang, Gao, Dan, Jiang, Dengke, Leng, Ran, Wang, Xutong, Yuan, Qianqian, Zhang, Lili, Bai, Ziliang, Li, Jianhua, Qi, Jie, Wang, Fei, Wang, Haitao, Yang, Bin, Yue, Zhou, Zhang, Zhulin, Dong, Yumei, Mao, Jiajia, Zhang, Bin, Li, Xiuhong, Yao, Xiaowei, Zhong, Nier, Zhou, Ning, Huang, Yaping, Zhou, Wei, Panpan, Peng, Yu Kunwu Yudong, Su, Xin, Wang, Chen, Zhao, Yunhai, Geng, Yaming, Wang, Yanfu, Fan, Jing-Yao, Feng, Si-Ting, Wang, Xiao, Yan, Yan, Zhang, Hui-Min, Chi, Lingping, Liu, Fang, Chen, Han, Jiang, Jun, Li, Huajun, Han, Yechen, Xu, Lihong, Chen, Gang, Hu, Rongrong, Pietrucci, Francesca, Di Donato, Anna, Pezzetta, Francesca, Casali, Valentina, Attanasio, Chiara, Leone, Gianpiero, Pisano, Francesco, Bare, Cristina, Fimiani, Fabio, Barioli, Alberto, Ramani, Federica, Rolfo, Fabrizio, Goletto, Cecilia, De Micco, Francesca, Di Marco, Stefano, Tricoli, Martina, Villella, Massimo, Tan, Sik-Yin V., Sia, Winnie C., Leong, Audrey W., Hai Yan, Li, Ismail, Nasrul, Tun Kyaw, Min, Yip, Deborah, Grahl, Dorit, Guenther, Franziska, Bonin, Kerstin, Wenzelburger, Ina, Gruensfelder, Susanne, Sinning, Jan-Malte, Weber, Marcel, Werner, Nikos, Steinmaurer, Gudrun, Winter, Tijana, Andric, Max-Paul, Tscharre, Claudia, Maximilian, Bernhard, Jäger, Wegmayrc, Egger, Floria, Davidovits, Judit Sebo Zoltan, Matics, Laszlone, Ágoston, Gergely, Dekany, Gabor, Bartykowszki, Andrea, Jakal, Agnes, Djokic, Jelena, Djordjevic-Dikic, Ana D., Giga, Vojislav L., Stepanovic, Jelena J., Velicki, Lazar, Pupic, Ljiljana, Simović, Stefan M., Stevo Martinovic, Miroslav, Stevanovic, Gordana, Dobric, Milan, Salinger Martinovic, Sonja, Stanojevic, Dragana, de Jesús-Pérez, Ramon, Brassetti, María Fernanda Canales, Adrián Vences Anaya, Diego, Pérez García, María, Estela Carvajal Juarez, Isabel, Madero Rovalo, Magdalena, Lee, Sau, Thomas, Prince, Chaplin, Melissa D., Stansborough, Jeanette K., Black, Marilyn, Bonner, Michelle M., Ireland, Kim F., Venn-Edmonds, Clare, Thobois, Corine, Tachot, Emilie, Laure, Christophe, Vassaliere, Christel, Abergel, Helene, Fuentes, Axelle, Eliahou, Ludivine, Dubourg, Olivier, Michaud, Pierre, Hadjih, Sarah, Brito, Patricia, Cornet, Charles, Rautureau, Jeremy, Juceviciene, Agne, Kalibataite-Rutkauskiene, Irma, Keinaite, Laura, Laukyte, Monika, Mikolaitiene, Gelmina, Smigelskaite, Akvile, Tamasauskiene, Ilona, Urboniene, Agne, Bouwhuis, Ilse, Nijmeijer, Jeannette, Lia, Elisabeth, J.M. Schoep, Ahoud, M. Janzen Sandra, Selas, Mafalda, Silva, Filipa, Freixo, Cláudia, Zimbarra Cabrita, Inês, Rocha, Andreia, Patuleia Figueiras, Francisca, Coelho, Andreia, Capinha, Marta, Inês Caetano, Maria, Silva, Susana, Tinnirello, Veronica, Nicolás Mungo, Matías, Garcia, Marina, Godoy, Valeria, Victoria Actis, Maria, Scaro, Graciela, Low, Liz, Scales, Jayne, Abercrombie, Kirsty, Howell, Leah, Patten, Cathrine, Björklund, Christina, Andreasson, Maria, Essermark, Marie, Persson, Liselotte, Harel, Or, Bentzvi, Margalit, Helmer, Ludmila, Ueda, Ikuko, Fujita, Jun, Furukawa, Akemi, Hirase, Kanae, Nagai, Toshiyuki, Otsuka, Fumiyuki, Nakano, Shintaro, Robesyn, Valerie, Yang, Yi-Hsuan, Mtana, Noloyiso, Anesini, Adriana, Maspoli, Simona, Mombelli, Manuela, Talaat, Ahmed, Rosca, Monica, Beladan, Carmen C., Zahrani, Sarah, Antonio Monsalve Davila, Marco, Khwakhong, Supatchara, Chaiyasri, Anong, Mekara, Warangkana, Kulthawong, Supap, Amaritakomol, Anong, Panpunuan, Pachara, Syamira Mokhtar, Noor, Asiah Basri, Nor, Yusnida, Irni, Hashim, Humayrah, Berger, Jeffrey, Williams, David, Harrington, Robert, Jiang, Lixin, Lopes, Renato D., Noel Bairey Merz, C., Weintraub, William, Donato Morales Rodríguez, Erick, Maurovich-Horvat, Pal, Sonawane, Poonam, Francis, Ramakrishnan, Rajesh, Nayak, T. Soundarya, Boer, Stephanie C., Rosenberg, Yves, Hamm, Christian, Helm, Malte, Peterson, Eric, Ballantyne, Christie, Calfas, Karen, Ann Champagne, Mary, Fleg, Jerome, McCullough, Peter A., Menasche, Philippe, Davidson, Michael, Fremes, Stephen, Guyton, Robert, Mack, Michael, Mohr, Fred, Rao, Anupama, Sabik, Joe, Shapira, Oz, Taggart, David, Tatoulis, James, Blankenship, Jim, Brener, Sorin, Buller, Chris, Colombo, Antonio, de Bruyne, Bernard, Kereiakes, Dean, Lefevre, Thierry, Moses, Jeffrey, Mahaffey, Ken, Cruz-Flores, Salvador, Danchin, Nicholas, Feen, Eli, Garcia, Mario J., Hauptman, Paul, Laddu, Abhay A., Passamani, Eugene, Pina, Ileana L., Simoons, Maarten, Skali, Hicham, Thygesen, Kristian, Waters, David, Endsley, Patricia, Esposito, Gerard, Kanters, Jeffrey, Pownall, John, Stournaras, Dimitrios, Friedrich, Matthias, Hachamovitch, Rory, Oliver, Dana, Harrel, Frank, Blume, Jeffrey, Lee, Kerry, Kullo, Iftikhar, McManus, Bruce, Newby, Kristin, Cohen, David, Bugiardini, Raffaele, Mattina, Deirdre, Ali, Ziad, Mathew, Roy, Friedman, Lawrence, Anderson, Jeffrey, Berg, Jessica, DeMets, David, Michael Gibson, C., Lamas, Gervasio, Deming, Nicole, Himmelfarb, Jonathan, Ouyang, Pamela, Woodard, Pamela, Nwosu, Samuel, Kirby, Ruth, Jeffries, Neal, Denaro, Jean E., Boumakis, Stephanie, Chan, Kevin, Cobb, Gia, Contreras, Aira, Cukali, Diana, Ferket, Stephanie, Gabriel, Andre, Hansen, Antonietta, Roberts, Arline, Chang, Michelle, Islam, Sharder, Wayser, Graceanne, Yakubov, Solomon, Yee, Michelle, Callison, Caroline, Hogan, Isabelle, Qelaj, Albertina, Pirro, Charlotte, Van Loo, Kerrie, Wisniewski, Brianna, Gilsenan, Margaret, Lang, Bevin, Mohamed, Samaa, Esquenazi-Karonika, Shari, Mathews, Patenne D., Naumova, Anna, Lyo, Jihyun, Setang, Vincent, Xavier, Mark, Anstrom, Kevin, Baloch, Khaula, Blount, Janet, Cowper, Patricia, Davidson-Ray, Linda, Drew, Laura, Harding, Tina, David Knight, J., Minshall Liu, Diane, O’Neal, Betsy, Redick, Thomas, Jones, Philip, Nugent, Karen, Jingyan Wang, Grace, Goyal, Abhinav, Hetrick, Holly, Hayes, Sean W., Friedman, John D., Mark Hyun, R. James Gerlach, Miranda-Peats, Romalisa, Slomka, Piotr, Thomson, Louise, Pierre Mongeon, Francois, Michael, Steven, Hung, Judy, Zeng, Xin, Eckstein, Jane, Guruge, Bandula, Streif, Mary, Alfonso, Maria A., Corral, Maria P., Garcia, Javier J., Horst, Jennifer, Jankovic, Ivana, Konigstein, Maayan, Lustre, Mitchel B., Peralta, Yolayfi, Sanchez, Raquel, Arsanjani, Reza, Elmor, Kimberly, Gomez, Millie, Hindoyan, Niree, Nakanishi, Rine, Barbara Srichai-Parsia, M., Yeoh, Eunice, Youn, Tricia, Bianchini, Francesca, Ceseri, Martina, Lorimer, Andrea, Magnoni, Marco, Orso, Francesco, Sarti, Laura, Mazza Barbosa, Lilian, Bello Duarte, Tauane, Colaiácovo Soares, Tamara, de Aveiro Morata, Julia, Carvalho, Pedro, de Carvalho Maffei, Natalia, Egydio, Flávia, Kawak, Anelise, Oliveira, Janaina, Restelli Piloto, Elissa, Pozzibon, Jaqueline, Camara, Diane, Mowafy, Neamat, Spindler, Caroline, Dai, Hao, Feng, Fang, Li, Jia, Li, Li, Liu, Jiamin, Xie, Qiulan, Zhang, Haibo, Zhang, Jianxin, Zhang, Lihua, Zhang, Liping, Zhang, Ning, Zhong, Hui, Escobar, Claudia, Eugenia Martin, Maria, Pascual, Andrea, Moraga, Paloma, Hernandez, Victoria, Posada, Maria, Fernandez, Sara, Luis Narro Villanueva, José, Selgas, Rafael, Luyten, Ann, Garcevic, Nevena, Stojkovic, Jelena, Ahmed, Asker, Bhatt, Richa, Chadha, Nitika, Kumar, Vijay, Lubna, Sadath, Naik, Pushpa, Pandey, Shruti, Ramasamy, Karthik, Saleem, Mohammed, Sharma, Pratiksha, and Siddaram, Hemalata

Published
2024
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39. The alarms should no longer be ignored: survey of the demand, capacity and provision of adult community eating disorder services in England and Scotland before COVID-19

Author

David Viljoen, Emily King, Sophie Harris, Jonathan Hollyman, Kate Costello, Eimear Galvin, Melissa Stock, Ulrike Schmidt, James Downs, Murali Sekar, Ciaran Newell, Sam Clark-Stone, Amy Wicksteed, Caroline Foster, Francesca Battisti, Laura Williams, Roshan Jones, Sarah Beglin, Stephen Anderson, Thuthirna Jebarsan, Viviane Ghuys, and Agnes Ayton

Subjects
Adult community eating disorders services, referral rates, commissioning guidance, workforce levels, Ignoring the Alarms report, Psychiatry, RC435-571
Abstract

Aims/method This national pre-pandemic survey compared demand and capacity of adult community eating disorder services (ACEDS) with NHS England (NHSE) commissioning guidance. Results Thirteen services in England and Scotland responded (covering 10.7 million population). Between 2016–2017 and 2019–2020 mean referral rates increased by 18.8%, from 378 to 449/million population. Only 3.7% of referrals were from child and adolescent eating disorder services (CEDS-CYP), but 46% of patients were aged 18–25 and 54% were aged >25. Most ACEDS had waiting lists and rationed access. Many could not provide full medical monitoring, adapt treatment for comorbidities, offer assertive outreach or provide seamless transitions. For patient volume, the ACEDS workforce budget was 15%, compared with the NHSE workforce calculator recommendations for CEDS-CYP. Parity required £7 million investment/million population for the ACEDS. Clinical implications This study highlights the severe pressure in ACEDS, which has increased since the COVID-19 pandemic. Substantial investment is required to ensure NHS ACEDS meet national guidance, offer evidence-based treatment, reduce risk and preventable deaths, and achieve parity with CEDS-CYP.

Published
2024
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40. Adherence to heart failure treatment in patients with peripartum cardiomyopathy

Author

Julian Hoevelmann, Karen Sliwa, Juel Maalouli Schaar, Olivia Briton, Michael Böhm, Markus R. Meyer, and Charle Viljoen

Subjects
Liquid chromatography, LV reverse remodelling, Mass spectrometry, Medication adherence, Peripartum cardiomyopathy, Risk stratification, Diseases of the circulatory (Cardiovascular) system, RC666-701
Abstract

Abstract Aims Peripartum cardiomyopathy (PPCM) is characterized by left ventricular (LV) dysfunction developing towards the end of pregnancy or in the first months postpartum. Although about 60% of women with PPCM (the majority of which are prescribed evidence based heart failure [HF] medications) show LV recovery within 6 to 12 months, others remain with persistently impaired LV function. Poor adherence to medical therapy represents a major cause of avoidable hospitalizations, disability, and death in other cardiovascular conditions. In this study, we aimed to determine drug adherence to HF therapy among women with PPCM and to identify possible associations between drug adherence and LV recovery, functional status and psychological well‐being. Methods and results In this single‐centre, prospective, observational study, we included 36 consecutive women with PPCM. Adherence to HF treatment was assessed by (i) verifying the collection of pharmacy refills and (ii) using liquid chromatography high‐resolution mass spectrometry (LC‐HRMS). Participants were thereby classified as ‘adherent’ (i.e. all prescribed HF drugs were detectable by LC‐HRMS), ‘partially adherent’ (i.e. at least one prescribed drug detectable) or ‘non‐adherent’ (i.e. none of the prescribed drugs detectable). Health state index scores were assessed by EQ‐5D‐5L and HADS‐A/D (for anxiety/depression). Patients' median age was 32.4 years (IQR 27.6–36.1). At the adherence visit (which occurred at a median of 16 months [IQR 5–45] after PPCM diagnosis), prescription included beta‐blockers (77.8%), angiotensin‐converting enzyme inhibitors/angiotensin II receptor blockers (75%), mineralocorticoid receptor antagonists (47.2%) and loop diuretics (95.2%). Less than two thirds of patients (63.9%) collected all their pharmacy refills in the 6 months prior to adherence visit. According to LC‐HRMS, 23.5% participants were classified as adherent, 53.0% as partially adherent, and 23.5% as non‐adherent. Adherence was associated with significantly lower LVEDD at follow‐up (47 mm [IQR 46–52), vs. 56 mm [IQR 49–64] with partial adherence, and 62 mm [IQR 55–64] with non‐adherence, P = 0.022), and higher LVEF at follow‐up (60% [IQR 41–65]), vs. partially adherence (46% [IQR 34–50]) and non‐adherence (41.0% [IQR 29–47], P = 014). Adherent patients had a lower overall EQ‐ 5D score (5.5 [IQR 5–7.5], vs. 6 [IQR 5–7] in partially adherent, and 10 [IQR 8–15] in non‐adherent patients, P = 0.032) suggestive of a better self‐rated health status. Conclusions Adherence to HF therapy was associated with favourable LV reverse remodelling in PPCM and better self‐rated health status. Our study highlights the importance of drug adherence for functional recovery. Drug adherence should be an important component of patient communication and specific interventions in PPCM.

Published
2024
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