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Effect of a Web-based Application With Integrated AI Chat for Cardiovascular Risk Support

28 de outubro de 2026 atualizado por: Salma Ibrahim Fahmy Habib, Cairo University

Effect of a Web-based Application With Integrated AI Chat for Cardiovascular Risk Support Versus Usual Care: a Randomized Controlled Trial.

To determine the effect of a web-based application with an integrated AI chat module on 10-year cardiovascular risk score (intervention) versus usual clinic care (control) after 3 months from baseline score.

Visão geral do estudo

Status

Ainda não está recrutando

Condições

Intervenção / Tratamento

Descrição detalhada

Cardiovascular diseases (CVDs), such as coronary heart disease, stroke, and peripheral vascular disease, are still among the primary causes of early mortality and long-term disability across the globe, with an estimated 17.9 million deaths and over 422 million affected individuals reported each year . The literature data showed that CVD risk factors are common in Arab countries' populations . In Egypt, coronary heart disease deaths account for 32.40% of total deaths, making Egypt the 15th highest country with coronary heart disease deaths in the world, according to the latest WHO data. Physical inactivity, consumption of high-fat foods, elevated blood pressure, tobacco use, diabetes, obesity, and lipid disorders are key contributors to the increased incidence of coronary heart disease.

Significant developments in internet and mobile technologies over the past decade offer promising opportunities to alleviate the burden of cardiovascular diseases and expand access to healthcare services.

Digital health interventions (DHIs) are technology-driven tools designed to enhance patient care and health outcomes in a safe and efficient manner. These may include smartphone apps or automated email programs. Studies by Whittaker and Wieland show that DHIs can help lower cardiovascular risk factors, supporting outcomes like smoking cessation and weight reduction and Widmer's meta-analysis found that DHIs reduced rehospitalization rates and improved cardiovascular risk score.

Natural language processing (NLP) and large language model (LLM) technologies hold significant potential for enhancing patients' access to medical knowledge. Advanced AI chatbots-such as ChatGPT-are examples of pre-trained LLMs that can engage in human-like conversations and generate coherent, contextually appropriate responses. A growing number of individuals are turning to AI chatbots instead of conventional search methods drawn by their capacity to provide personalized interactions and immediate, customized responses.

Digital interventions can improve risk factor control but evidence for AI-chat integrated web applications on predicted 10-year CV risk is limited. This RCT will compare a web application + AI chat intervention against usual clinic care on cardiovascular risk support, so that our research question is "Among adults with cardiovascular risk factors attending Kasr- Alainy family medicine clinics, does using a web application with AI chat support lead to a greater reduction in predicted 10-year cardiovascular risk compared to usual care?".

Tipo de estudo

Intervencional

Inscrição (Estimado)

116

Estágio

  • Não aplicável

Contactos e Locais

Esta seção fornece os detalhes de contato para aqueles que conduzem o estudo e informações sobre onde este estudo está sendo realizado.

Contato de estudo

Critérios de participação

Os pesquisadores procuram pessoas que se encaixem em uma determinada descrição, chamada de critérios de elegibilidade. Alguns exemplos desses critérios são a condição geral de saúde de uma pessoa ou tratamentos anteriores.

Critérios de elegibilidade

Idades elegíveis para estudo

40 anos a 75 anos (Adulto, Adulto mais velho)

Aceita Voluntários Saudáveis

Não

Gêneros Elegíveis para o Estudo

Tudo

Descrição

Inclusion Criteria:

  • Adults aged 40-75 years
  • At least one modifiable CV risk factor (hypertension, dyslipidemia, type 2 diabetes, current smoker).
  • Access to a smartphone/computer and internet.(for the intervention group)
  • Able to read Arabic and provide informed consent.
  • Baseline predicted 10-year CV risk ≥5%.

Exclusion Criteria:

  • Known previous major cardiovascular event (MI, stroke)
  • Illiterate patients
  • patient with predicted 10-year CV risk ≥20%.

Plano de estudo

Esta seção fornece detalhes do plano de estudo, incluindo como o estudo é projetado e o que o estudo está medindo.

Como o estudo é projetado?

Detalhes do projeto

  • Finalidade Principal: Prevenção
  • Alocação: Randomizado
  • Modelo Intervencional: Atribuição Paralela
  • Mascaramento: Nenhum (rótulo aberto)

Armas e Intervenções

Grupo de Participantes / Braço
Intervenção / Tratamento
Experimental: Web app + AI chat (Intervention arm)

The intervention group will receive the usual clinic care and will be offered to use the app with AI chat for 3 months after explaining the purpose of the study.

-An informed written consent will be taken from each participant

• Web app features: User account with secure login, baseline profile (age, sex, BP, lipids, smoking, diabetes, medications) Automated calculation of 10-year cardio vascular disease risk (ASCVDR) will be done using The American College of Cardiology (ACC)/American Heart Association (AHA) Risk Estimator of ASCVD [12].

  • Educational modules (short, evidence-based content in Arabic)
  • Integrated AI chat An AI-powered chatbot is integrated into the web application to provide interactive health education and respond to user inquiries regarding cardiovascular risk, lifestyle modification, dietary advices and prevention strategies. The chatbot is connected to a large language model API, enabling natural language conversations and is accessible to participants 24 hours

• Web app features: User account with secure login, baseline profile (age, sex, BP, lipids, smoking, diabetes, medications) Automated calculation of 10-year cardio vascular disease risk (ASCVDR) will be done using The American College of Cardiology (ACC)/American Heart Association (AHA) Risk Estimator of ASCVD.

  • Educational modules (short, evidence-based content in Arabic)
  • Integrated AI chat An AI-powered chatbot is integrated into the web application to provide interactive health education and respond to user inquiries regarding cardiovascular risk, lifestyle modification, dietary advices and prevention strategies. The chatbot is connected to a large language model API, enabling natural language conversations and is accessible to participants 24 hours a day.

Medical content and responses were reviewed and supervised by the research team to ensure accuracy and adherence to international guidelines (American Heart Association [AHA] and European Society of Cardiology [ESC].

Usual care follows the national prevention and management guidelines for major cardiovascular risk factors including hypertension, dyslipidemia, diabetes, smoking, obesity, and physical inactivity. Patients typically undergo periodic clinical assessment which includes measurement of blood pressure, weight and BMI, review of lifestyle risk factors, and laboratory testing such as fasting blood glucose and lipid profile when indicated.

Standard lifestyle counseling is provided in the form of brief verbal advice concerning smoking cessation, healthy diet, and increasing physical activity. Pharmacological therapy is initiated or adjusted based on the clinical assessment and guideline recommendations (e.g., antihypertensive medications, statins, antidiabetic treatment).

Follow-up visits (monthly visits for 3 months).

Outro: Usual care (Control arm)

Usual care follows the national prevention and management guidelines for major cardiovascular risk factors including hypertension, dyslipidemia, diabetes, smoking, obesity, and physical inactivity. Patients typically undergo periodic clinical assessment which includes measurement of blood pressure, weight and BMI, review of lifestyle risk factors, and laboratory testing such as fasting blood glucose and lipid profile when indicated.

Standard lifestyle counseling is provided in the form of brief verbal advice concerning smoking cessation, healthy diet, and increasing physical activity. Pharmacological therapy is initiated or adjusted based on the clinical assessment and guideline recommendations (e.g., antihypertensive medications, statins, antidiabetic treatment).

Follow-up visits (monthly visits for 3 months).

Usual care follows the national prevention and management guidelines for major cardiovascular risk factors including hypertension, dyslipidemia, diabetes, smoking, obesity, and physical inactivity. Patients typically undergo periodic clinical assessment which includes measurement of blood pressure, weight and BMI, review of lifestyle risk factors, and laboratory testing such as fasting blood glucose and lipid profile when indicated.

Standard lifestyle counseling is provided in the form of brief verbal advice concerning smoking cessation, healthy diet, and increasing physical activity. Pharmacological therapy is initiated or adjusted based on the clinical assessment and guideline recommendations (e.g., antihypertensive medications, statins, antidiabetic treatment).

Follow-up visits (monthly visits for 3 months).

O que o estudo está medindo?

Medidas de resultados primários

Medida de resultado
Prazo
Mean absolute change in predicted 10-year cardiovascular risk (%) from baseline to 3 months in intervention and control groups.
Prazo: 3 months
3 months

Medidas de resultados secundários

Medida de resultado
Descrição da medida
Prazo
Mean change in systolic BP (mmHg)
Prazo: 3 months

Change in systolic blood pressure from baseline to 3 months, measured in mmHg.

3 months
Mean change in diastolic blood pressure
Prazo: 3 months

Change in diastolic blood pressure from baseline to 3 months, measured in mmHg.

3 months
Mean change in LDL cholesterol
Prazo: 3 months

Change in low-density lipoprotein (LDL) cholesterol level from baseline to 3 months, measured in mg/dL.

3 months
Mean change in HDL cholesterol
Prazo: 3 months

Change in high-density lipoprotein (HDL) cholesterol level from baseline to 3 months, measured in mg/dL.

3 months
Mean change in total cholesterol
Prazo: 3 months

Change in total cholesterol level from baseline to 3 months, measured in mg/dL.

3 months
Mean change in HbA1c among participants with diabetes
Prazo: 3 months

Change in glycated hemoglobin (HbA1c) from baseline to 3 months among participants with diabetes, measured as a percentage (%).

3 months
System Usability Scale (SUS) score
Prazo: 3 months

Usability of the web-based application will be assessed using the 10-item System Usability Scale (SUS), with total scores ranging from 0 to 100. Higher scores indicate better perceived usability.

3 months
Change in medication adherence score
Prazo: 3 months

Change in medication adherence from baseline to 3 months, assessed using Adherence to Refills and Medications Scale (ARMS) questionnaire . It consists of 12 items covering two main domains: medication-taking behavior and prescription refill adherence Each item is scored on a 4-point Likert scale ranging from 1 (none of the time) to 4 (all of the time), with higher scores indicating lower adherence

3 months

Colaboradores e Investigadores

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Patrocinador

Datas de registro do estudo

Essas datas acompanham o progresso do registro do estudo e os envios de resumo dos resultados para ClinicalTrials.gov. Os registros do estudo e os resultados relatados são revisados ​​pela National Library of Medicine (NLM) para garantir que atendam aos padrões específicos de controle de qualidade antes de serem publicados no site público.

Datas Principais do Estudo

Início do estudo (Estimado)

25 de outubro de 2026

Conclusão Primária (Estimado)

1 de agosto de 2027

Conclusão do estudo (Estimado)

1 de setembro de 2027

Datas de inscrição no estudo

Enviado pela primeira vez

19 de outubro de 2026

Enviado pela primeira vez que atendeu aos critérios de CQ

28 de outubro de 2026

Primeira postagem (Real)

4 de novembro de 2026

Atualizações de registro de estudo

Última Atualização Postada (Real)

4 de novembro de 2026

Última atualização enviada que atendeu aos critérios de controle de qualidade

28 de outubro de 2026

Última verificação

1 de outubro de 2026

Mais Informações

Termos relacionados a este estudo

Outros números de identificação do estudo

  • application with AI chat &CVD

Plano para dados de participantes individuais (IPD)

Planeja compartilhar dados de participantes individuais (IPD)?

INDECISO

Informações sobre medicamentos e dispositivos, documentos de estudo

Estuda um medicamento regulamentado pela FDA dos EUA

Não

Estuda um produto de dispositivo regulamentado pela FDA dos EUA

Não

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