Familial hypercholesterolaemia workshop for leveraging point-of-care testing and personalised medicine in association with the Lipid and Atherosclerosis Society of Southern Africa

Marais, A. David; Kotze, Maritha J.; Raal, Frederick J.; Khine, AA; Talmud, Philippa J.; Humphries, Steve E.

doi:10.5830/cvja-2019-055

Cited by 2 publications

(2 citation statements)

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“…As shown in Table 1, PSGT typically starts with an online questionnairebased health check including the assessment of body mass index (BMI) and metabolic syndrome features targeting dyslipidaemia associated with COVID-19 severity and comorbidities. Involvement of this NCD pathway known to be influenced by lifestyle and other environmental factors, which in turn may trigger genetic risk such as the APOE e4 allele identified in this case, should be addressed to prevent cumulative causal effects [17,18]. Vaccine-related adverse effects are typically linked to old age [19] and pre-existing obesity, diabetes, or significant allergies.…”

Section: Objectives Of the Proposed Frameworkmentioning

confidence: 99%

Towards AI-Enabled Multimodal Diagnostics and Management of COVID-19 and Comorbidities in Resource-Limited Settings

et al. 2021

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A conceptual artificial intelligence (AI)-enabled framework is presented in this study involving triangulation of various diagnostic methods for management of coronavirus disease 2019 (COVID-19) and its associated comorbidities in resource-limited settings (RLS). The proposed AI-enabled framework will afford capabilities to harness low-cost polymerase chain reaction (PCR)-based molecular diagnostics, radiological image-based assessments, and end-user provided information for the detection of COVID-19 cases and management of symptomatic patients. It will support self-data capture, clinical risk stratification, explanation-based intelligent recommendations for patient triage, disease diagnosis, patient treatment, contact tracing, and case management. This will enable communication with end-users in local languages through cheap and accessible means, such as WhatsApp/Telegram, social media, and SMS, with careful consideration of the need for personal data protection. The objective of the AI-enabled framework is to leverage multimodal diagnostics of COVID-19 and associated comorbidities in RLS for the diagnosis and management of COVID-19 cases and general support for pandemic recovery. We intend to test the feasibility of implementing the proposed framework through community engagement in sub-Saharan African (SSA) countries where many people are living with pre-existing comorbidities. A multimodal approach to disease diagnostics enabling access to point-of-care testing is required to reduce fragmentation of essential services across the continuum of COVID-19 care.

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Section: Objectives Of the Proposed Frameworkmentioning

confidence: 99%

Towards AI-Enabled Multimodal Diagnostics and Management of COVID-19 and Comorbidities in Resource-Limited Settings

et al. 2021

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show abstract

“…In SA, these include white Afrikaans-speaking individuals, Jews and Indians (from Gujarat) with characteristic founder mutations; but many more mutations are known. [6] FH poses a very high risk of atherosclerosis and requires no additional risk factors for atherosclerotic cardiovascular disease to develop. A study in Cape Town revealed that untreated heFH patients on average experienced angina pectoris or myocardial infarction at the age of 45 years and died at an average age of 48 years.…”

Section: Editorialmentioning

confidence: 99%

Familial hypercholesterolaemia in South Africa: A reminder

Blom

Raal

2021

S Afr Med J

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Familial hypercholesterolaemia workshop for leveraging point-of-care testing and personalised medicine in association with the Lipid and Atherosclerosis Society of Southern Africa

Cited by 2 publications

References 0 publications

Towards AI-Enabled Multimodal Diagnostics and Management of COVID-19 and Comorbidities in Resource-Limited Settings

Towards AI-Enabled Multimodal Diagnostics and Management of COVID-19 and Comorbidities in Resource-Limited Settings

Familial hypercholesterolaemia in South Africa: A reminder

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