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

28 de octubre de 2026 actualizado 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.

Descripción general del estudio

Estado

Aún no reclutando

Condiciones

Intervención / Tratamiento

Descripción detallada

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 estudio

Intervencionista

Inscripción (Estimado)

116

Fase

  • No aplica

Contactos y Ubicaciones

Esta sección proporciona los datos de contacto de quienes realizan el estudio e información sobre dónde se lleva a cabo este estudio.

Estudio Contacto

Criterios de participación

Los investigadores buscan personas que se ajusten a una determinada descripción, denominada criterio de elegibilidad. Algunos ejemplos de estos criterios son el estado de salud general de una persona o tratamientos previos.

Criterio de elegibilidad

Edades elegibles para estudiar

40 años a 75 años (Adulto, Adulto Mayor)

Acepta Voluntarios Saludables

No

Géneros elegibles para el estudio

Todos

Descripción

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%.

Plan de estudios

Esta sección proporciona detalles del plan de estudio, incluido cómo está diseñado el estudio y qué mide el estudio.

¿Cómo está diseñado el estudio?

Detalles de diseño

  • Propósito principal: Prevención
  • Asignación: Aleatorizado
  • Modelo Intervencionista: Asignación paralela
  • Enmascaramiento: Ninguno (etiqueta abierta)

Armas e Intervenciones

Grupo de participantes/brazo
Intervención / Tratamiento
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).

Otro: 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).

¿Qué mide el estudio?

Medidas de resultado primarias

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

Medidas de resultado secundarias

Medida de resultado
Medida Descripción
Periodo de tiempo
Mean change in systolic BP (mmHg)
Periodo de tiempo: 3 months

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

3 months
Mean change in diastolic blood pressure
Periodo de tiempo: 3 months

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

3 months
Mean change in LDL cholesterol
Periodo de tiempo: 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
Periodo de tiempo: 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
Periodo de tiempo: 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
Periodo de tiempo: 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
Periodo de tiempo: 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
Periodo de tiempo: 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

Aquí es donde encontrará personas y organizaciones involucradas en este estudio.

Patrocinador

Fechas de registro del estudio

Estas fechas rastrean el progreso del registro del estudio y los envíos de resultados resumidos a ClinicalTrials.gov. Los registros del estudio y los resultados informados son revisados ​​por la Biblioteca Nacional de Medicina (NLM) para asegurarse de que cumplan con los estándares de control de calidad específicos antes de publicarlos en el sitio web público.

Fechas importantes del estudio

Inicio del estudio (Estimado)

25 de octubre de 2026

Finalización primaria (Estimado)

1 de agosto de 2027

Finalización del estudio (Estimado)

1 de septiembre de 2027

Fechas de registro del estudio

Enviado por primera vez

19 de octubre de 2026

Primero enviado que cumplió con los criterios de control de calidad

28 de octubre de 2026

Publicado por primera vez (Actual)

4 de noviembre de 2026

Actualizaciones de registros de estudio

Última actualización publicada (Actual)

4 de noviembre de 2026

Última actualización enviada que cumplió con los criterios de control de calidad

28 de octubre de 2026

Última verificación

1 de octubre de 2026

Más información

Términos relacionados con este estudio

Otros números de identificación del estudio

  • application with AI chat &CVD

Plan de datos de participantes individuales (IPD)

¿Planea compartir datos de participantes individuales (IPD)?

INDECISO

Información sobre medicamentos y dispositivos, documentos del estudio

Estudia un producto farmacéutico regulado por la FDA de EE. UU.

No

Estudia un producto de dispositivo regulado por la FDA de EE. UU.

No

Esta información se obtuvo directamente del sitio web clinicaltrials.gov sin cambios. Si tiene alguna solicitud para cambiar, eliminar o actualizar los detalles de su estudio, comuníquese con register@clinicaltrials.gov. Tan pronto como se implemente un cambio en clinicaltrials.gov, también se actualizará automáticamente en nuestro sitio web. .