Alvaro Alonso

Late Career Tenured Researcher, Emory University

4 active projects

AFib epidemiology (AOU v4)

The overall goal of this study, as a Demonstration project, is to evaluate the ability of the All of Us Research Program data to replicate epidemiologic patterns of atrial fibrillation (AF), a common arrhythmia, previously described in other setting. We…

Scientific Questions Being Studied

The overall goal of this study, as a Demonstration project, is to evaluate the ability of the All of Us Research Program data to replicate epidemiologic patterns of atrial fibrillation (AF), a common arrhythmia, previously described in other setting. We will address this goal with these two aims:
• Specific Aim 1. To determine the association of race and ethnicity with the prevalence and incidence of atrial fibrillation (AF). We hypothesize than non-whites will have lower prevalence and incidence of AF than whites.
• Specific Aim 2. To estimate associations of established risk factors for AF with the prevalence and incidence of AF. We hypothesize that increased body mass index, higher blood pressure, diabetes, smoking and a prior history of cardiovascular diseases will be associated with increased prevalence and incidence of AF.

Project Purpose(s)

  • Population Health
  • Other Purpose (This work is a result of an All of Us Research Program Demonstration Project. The projects are efforts by the Program designed to meet the program's goal of ensuring the quality and utility of the Research Hub as a resource for accelerating discovery in science and medicine. This work was reviewed and overseen by the All of Us Research Program Science Committee and the Data and Research Center to ensure compliance with program policy, including policies for acceptable data access and use.)

Scientific Approaches

We will select all All of Us participants who self-reported sex at birth male or female, whose self-reported race was white, black or Asian, as well as those who self-reported being Hispanics.

Atrial fibrillation (AF) will be identified from self-reports in the medical survey or from electronic health records (EHR).

Clinical factors will be identified from EHR and study measurements (blood pressure, weight, height).

We will evaluate the association of demographic (age, sex, race/ethnicity) and clinical (body mass index, blood pressure, smoking, cardiovascular diseases) factors with prevalence of self-reported AF and prevalence of AF in the EHR, as well as incident AF ascertained from the EHR.

Anticipated Findings

The overall goal of this project is to evaluate the prevalence and incidence of atrial fibrillation (AF), overall and by race/ethnicity, as well as to confirm the association of established risk factors for AF in the All of Us Research participants. We expect to confirm associations between demographic and clinical variables previously reported in the literature, demonstrating the value of the All of Us Research Program data to address questions regarding this common cardiovascular disease.

Demographic Categories of Interest

  • Race / Ethnicity
  • Age

Data Set Used

Registered Tier

Research Team

Owner:

Collaborators:

  • Vignesh Subbian - Early Career Tenure-track Researcher, University of Arizona
  • Francis Ratsimbazafy - Other, All of Us Program Operational Use
  • Aymone Kouame - Other, All of Us Program Operational Use
  • Aniqa Alam
  • Konstantinos Sidiropoulos - Other, Nova Southeastern University

Duplicate of AFib epidemiology

The overall goal of this study, as a Demonstration project, is to evaluate the ability of the All of Us Research Program data to replicate epidemiologic patterns of atrial fibrillation (AF), a common arrhythmia, previously described in other setting. We…

Scientific Questions Being Studied

The overall goal of this study, as a Demonstration project, is to evaluate the ability of the All of Us Research Program data to replicate epidemiologic patterns of atrial fibrillation (AF), a common arrhythmia, previously described in other setting. We will address this goal with these two aims:
• Specific Aim 1. To determine the association of race and ethnicity with the prevalence and incidence of atrial fibrillation (AF). We hypothesize than non-whites will have lower prevalence and incidence of AF than whites.
• Specific Aim 2. To estimate associations of established risk factors for AF with the prevalence and incidence of AF. We hypothesize that increased body mass index, higher blood pressure, diabetes, smoking and a prior history of cardiovascular diseases will be associated with increased prevalence and incidence of AF.

Project Purpose(s)

  • Population Health
  • Other Purpose (This work is a result of an All of Us Research Program Demonstration Project. The projects are efforts by the Program designed to meet the program's goal of ensuring the quality and utility of the Research Hub as a resource for accelerating discovery in science and medicine. This work was reviewed and overseen by the All of Us Research Program Science Committee and the Data and Research Center to ensure compliance with program policy, including policies for acceptable data access and use.)

Scientific Approaches

We will select all All of Us participants who self-reported sex at birth male or female, whose self-reported race was white, black or Asian, as well as those who self-reported being Hispanics.

Atrial fibrillation (AF) will be identified from self-reports in the medical survey or from electronic health records (EHR).

Clinical factors will be identified from EHR and study measurements (blood pressure, weight, height).

We will evaluate the association of demographic (age, sex, race/ethnicity) and clinical (body mass index, blood pressure, smoking, cardiovascular diseases) factors with prevalence of self-reported AF and prevalence of AF in the EHR, as well as incident AF ascertained from the EHR.

Anticipated Findings

The overall goal of this project is to evaluate the prevalence and incidence of atrial fibrillation (AF), overall and by race/ethnicity, as well as to confirm the association of established risk factors for AF in the All of Us Research participants. We expect to confirm associations between demographic and clinical variables previously reported in the literature, demonstrating the value of the All of Us Research Program data to address questions regarding this common cardiovascular disease.

Demographic Categories of Interest

  • Race / Ethnicity
  • Age

Data Set Used

Registered Tier

Research Team

Owner:

  • Jun Qian - Other, All of Us Program Operational Use
  • Ashley Able - Other, All of Us Program Operational Use
  • Alvaro Alonso - Late Career Tenured Researcher, Emory University

Comparative effectiveness of treatments in heart failure and atrial fibrillation

The overarching goal of this analysis is to explore the comparative effectiveness of treatments for heart failure (HF) and atrial fibrillation (AF) in patients with both conditions. Specifically we plan: 1. To assess use of oral anticoagulation in patients with…

Scientific Questions Being Studied

The overarching goal of this analysis is to explore the comparative effectiveness of treatments for heart failure (HF) and atrial fibrillation (AF) in patients with both conditions. Specifically we plan:
1. To assess use of oral anticoagulation in patients with AF and HF.
2. To assess effectiveness of catheter ablation for rhythm control in patients with HF and AF.
3. To assess effectiveness of angiotensin receptor neprilysin inhibitors (ARNi) and sodium-glucose Cotransporter 2 Inhibitors (SGLT2i) in patients with HF and AF.
We will evaluate whether sociodemographic factors (including race/ethnicity and socioeconomic status) modify these associations.

These questions are relevant since effectiveness of treatments in patients with comorbid AF and HF has received limited attention, with most of the evidence coming from clinical trials, which are not representative of the general patient population.

Project Purpose(s)

  • Disease Focused Research (atrial fibrillation, heart failure)

Scientific Approaches

We will identify a cohort of patients with comorbid HF and AF, identify the treatments they are receiving, and evaluate the effectiveness of those treatments regarding reduction of all-cause hospitalizations and CVD-related hospitalizations. We will use survival analysis adjusting for confounders to address these questions. We will use EHR data as well as data obtained from surveys to define comorbidities and sociodemographic factors.

Anticipated Findings

Findings from this analysis will contribute to the development of specific guidelines for the management of patients with comorbid AF and HF.

Demographic Categories of Interest

  • Race / Ethnicity
  • Geography
  • Access to Care
  • Education Level
  • Income Level

Data Set Used

Registered Tier

Research Team

Owner:

  • Alvaro Alonso - Late Career Tenured Researcher, Emory University

GA cohort for PMI-Nutrition

We are exploring the data on the All of Us Georgia cohort to understand the prevalence of certain medical conditions that might be impacted by changes in nutrition.

Scientific Questions Being Studied

We are exploring the data on the All of Us Georgia cohort to understand the prevalence of certain medical conditions that might be impacted by changes in nutrition.

Project Purpose(s)

  • Other Purpose (We are exploring the data on the All of Us Georgia cohort to understand the prevalence of certain medical conditions that might be impacted by changes in nutrition. We want to understand what data could be used for a future project.)

Scientific Approaches

Determine prevalence rates for obesity and diabetes in those AoU participants residing in Georgia based upon demographic variables.

Anticipated Findings

We hope to gain a better understanding of how certain chronic conditions affect nutritional choices. Then campaigns to improve nutritional choices could be developed to address these differences based upon participant demographics.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Registered Tier

Research Team

Owner:

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