scholarly journals Complexity in genetic cardiomyopathies and new approaches for mechanism-based precision medicine

2021 ◽  
Vol 153 (3) ◽  
Author(s):  
Michael J. Greenberg ◽  
Jil C. Tardiff

Genetic cardiomyopathies have been studied for decades, and it has become increasingly clear that these progressive diseases are more complex than originally thought. These complexities can be seen both in the molecular etiologies of these disorders and in the clinical phenotypes observed in patients. While these disorders can be caused by mutations in cardiac genes, including ones encoding sarcomeric proteins, the disease presentation varies depending on the patient mutation, where mutations even within the same gene can cause divergent phenotypes. Moreover, it is challenging to connect the mutation-induced molecular insult that drives the disease pathogenesis with the various compensatory and maladaptive pathways that are activated during the course of the subsequent progressive, pathogenic cardiac remodeling. These inherent complexities have frustrated our ability to understand and develop broadly effective treatments for these disorders. It has been proposed that it might be possible to improve patient outcomes by adopting a precision medicine approach. Here, we lay out a practical framework for such an approach, where patient subpopulations are binned based on common underlying biophysical mechanisms that drive the molecular disease pathogenesis, and we propose that this function-based approach will enable the development of targeted therapeutics that ameliorate these effects. We highlight several mutations to illustrate the need for mechanistic molecular experiments that span organizational and temporal scales, and we describe recent advances in the development of novel therapeutics based on functional targets. Finally, we describe many of the outstanding questions for the field and how fundamental mechanistic studies, informed by our more nuanced understanding of the clinical disorders, will play a central role in realizing the potential of precision medicine for genetic cardiomyopathies.

2020 ◽  
Author(s):  
Enrico Santus ◽  
Nicola Marino ◽  
Davide Cirillo ◽  
Emmanuele Chersoni ◽  
Arnau Montagud ◽  
...  

UNSTRUCTURED Artificial intelligence (AI) technologies can play a key role in preventing, detecting, and monitoring epidemics. In this paper, we provide an overview of the recently published literature on the COVID-19 pandemic in four strategic areas: (1) triage, diagnosis, and risk prediction; (2) drug repurposing and development; (3) pharmacogenomics and vaccines; and (4) mining of the medical literature. We highlight how AI-powered health care can enable public health systems to efficiently handle future outbreaks and improve patient outcomes.


10.2196/22453 ◽  
2021 ◽  
Vol 23 (3) ◽  
pp. e22453 ◽  
Author(s):  
Enrico Santus ◽  
Nicola Marino ◽  
Davide Cirillo ◽  
Emmanuele Chersoni ◽  
Arnau Montagud ◽  
...  

Artificial intelligence (AI) technologies can play a key role in preventing, detecting, and monitoring epidemics. In this paper, we provide an overview of the recently published literature on the COVID-19 pandemic in four strategic areas: (1) triage, diagnosis, and risk prediction; (2) drug repurposing and development; (3) pharmacogenomics and vaccines; and (4) mining of the medical literature. We highlight how AI-powered health care can enable public health systems to efficiently handle future outbreaks and improve patient outcomes.


Author(s):  
Sheri Palejwala ◽  
Jonnae Barry ◽  
Crystal Rodriguez ◽  
Chandni Parikh ◽  
Stephen Goldstein ◽  
...  

2012 ◽  
Vol 9 (2) ◽  
pp. 96-98
Author(s):  
Brian A Bruckner ◽  
Matthias Loebe

Patients undergoing re-operative cardiac surgical procedures present a great challenge with regard to obtaining hemostasis in the surgical field. Adhesions are ever-present and these patients are often on oral anti-coagulants and platelet inhibitors. As part of a well-planned surgical intervention, a systematic approach to hemostasis should be employed to decrease blood transfusion requirement and improve patient outcomes. Topical hemostatic agents can be a great help to the surgeon in achieving surgical field hemostasis and are increasingly being employed. Our approach, to these difficult patients, includes the systematic and planned use of AristaAH, which is a novel hemostatic agent whose use has proven safe and efficacious in our patient population.


BMJ Open ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. e041743
Author(s):  
Christina Østervang ◽  
Annmarie Touborg Lassen ◽  
Charlotte Myhre Jensen ◽  
Elisabeth Coyne ◽  
Karin Brochstedt Dieperink

IntroductionThe development of acute symptoms or changes in diseases led to feelings of fear and vulnerability and the need for health professional support. Therefore, the care provided in the acute medical and surgical areas of the emergency department (ED) is highly important as it influences the confidence of patients and families in managing everyday life after discharge. There is an increase in short-episode (<24 hours) hospital admissions, related to demographic changes and a focus on outpatient care. Clear discharge information and inclusion in treatment decisions increase the patient’s and family’s ability to understand and manage health needs after discharge, reduces the risk of readmission. This study aims to identify the needs for ED care and develop a solution to improve outcomes of patients discharged within 24 hours of admission.Methods and analysisThe study comprises the three phases of a participatory design (PD). Phase 1 aims to understand and identify patient and family needs when discharged within 24 hours of admission. A qualitative observational study will be conducted in two different EDs, followed by 20 joint interviews with patients and their families. Four focus group interviews with healthcare professionals will provide understanding of the short pathways. Findings from phase 1 will inform phase 2, which aims to develop a solution to improve patient outcomes. Three workshops gathering relevant stakeholders are arranged in the design plus development of a solution with specific outcomes. The solution will be implemented and tested in phase 3. Here we report the study protocol of phase 1 and 2.Ethics and disseminationThe study is registered with the Danish Data Protection Agency (19/22672). Approval of the project has been granted by the Regional Committees on Health Research Ethics for Southern Denmark (S-20192000–111). Findings will be published in suitable international journals and disseminated through conferences.


2021 ◽  
Vol 50 (Supplement_1) ◽  
pp. i12-i42
Author(s):  
C Abbott ◽  
K Bishop ◽  
F Hill ◽  
C Finlow ◽  
R Maraj

Abstract Introduction In September 2017 our frailty service was started within our medium sized DGH in North Wales. Working with our management team we secured a significant clinical resource including: We describe how resources, setting and staffing develop over a 2 year period in order to create a service which meets the needs of the local population. Method The service has been in a constant state of development since it has been in operation, utilising a PDSA model with regular meetings of clinical and managerial staff to analyse performance. Results With each new PDSA cycle the amount of patients reviewed has increased. With the move to AMU we increased the monthly number of patients reviewed from 29 to 172 patients reviewed, 97 of which were discharged directly from the unit. Conclusion Using QI methodology our Frailty Service has improved dramatically since its inception. We will continue to analyse how we work to improve patient outcomes and cost effectiveness.


2021 ◽  
Vol 22 (5) ◽  
pp. 481-508
Author(s):  
Robert P. Carlyon ◽  
Tobias Goehring

AbstractCochlear implants (CIs) are the world’s most successful sensory prosthesis and have been the subject of intense research and development in recent decades. We critically review the progress in CI research, and its success in improving patient outcomes, from the turn of the century to the present day. The review focuses on the processing, stimulation, and audiological methods that have been used to try to improve speech perception by human CI listeners, and on fundamental new insights in the response of the auditory system to electrical stimulation. The introduction of directional microphones and of new noise reduction and pre-processing algorithms has produced robust and sometimes substantial improvements. Novel speech-processing algorithms, the use of current-focusing methods, and individualised (patient-by-patient) deactivation of subsets of electrodes have produced more modest improvements. We argue that incremental advances have and will continue to be made, that collectively these may substantially improve patient outcomes, but that the modest size of each individual advance will require greater attention to experimental design and power. We also briefly discuss the potential and limitations of promising technologies that are currently being developed in animal models, and suggest strategies for researchers to collectively maximise the potential of CIs to improve hearing in a wide range of listening situations.


2021 ◽  
pp. 1-6
Author(s):  
Matt Landers ◽  
Suchi Saria ◽  
Alberto J. Espay

The use of artificial intelligence (AI) to help diagnose and manage disease is of increasing interest to researchers and clinicians. Volumes of health data are generated from smartphones and ubiquitous inexpensive sensors. By using these data, AI can offer otherwise unobtainable insights about disease burden and patient status in a free-living environment. Moreover, from clinical datasets AI can improve patient symptom monitoring and global epidemiologic efforts. While these applications are exciting, it is necessary to examine both the utility and limitations of these novel analytic methods. The most promising uses of AI remain aspirational. For example, defining the molecular subtypes of Parkinson’s disease will be assisted by future applications of AI to relevant datasets. This will allow clinicians to match patients to molecular therapies and will thus help launch precision medicine. Until AI proves its potential in pushing the frontier of precision medicine, its utility will primarily remain in individualized monitoring, complementing but not replacing movement disorders specialists.


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