Seyedeh Neelufar Payrovnaziri

University of California, Irvine

3 active projects

Charlson Risk Score

Feasibility analysis. Specific aims will be determined upon completion of this step. Predicts 10-year survival in patients with multiple comorbidities.

Scientific Questions Being Studied

Feasibility analysis. Specific aims will be determined upon completion of this step.
Predicts 10-year survival in patients with multiple comorbidities.

Project Purpose(s)

  • Other Purpose (Investigating the feasibility of implementing Charlson comorbidity index for AoU data. )

Scientific Approaches

Feasibility analysis. Specific aims will be determined upon completion of this step.
Predicts 10-year survival in patients with multiple comorbidities.

Anticipated Findings

Feasibility analysis. Specific aims will be determined upon completion of this step.
Predicts 10-year survival in patients with multiple comorbidities.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Registered Tier

Research Team

Owner:

Collaborators:

  • Steven Hiek - Project Personnel, University of California, Irvine
  • Argyrios Ziogas - Late Career Tenured Researcher, University of California, Irvine

Duplicate of OAB patients - (Original analysis)

I will be exploring the data in AllOfUs for information on patients with overactive bladder. I will examine different treatments and the relationship to overall health.

Scientific Questions Being Studied

I will be exploring the data in AllOfUs for information on patients with overactive bladder. I will examine different treatments and the relationship to overall health.

Project Purpose(s)

  • Disease Focused Research (Overactive bladder)

Scientific Approaches

The data will be evaluated for patient characteristics, co morbid conditions, and health surveys/outcomes. If available genetic sequencing will be examined.

Anticipated Findings

Overactive bladder is a major health problem affecting women. There are effective treatments available, but little is known regarding the genetics and causes of the syndrome.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Registered Tier

Research Team

Owner:

Diabetic_Renal_Interactions

Studying the interaction and associations between the diagnosis of diabetes and diagnosis of renal diseases in the AllofUs data.

Scientific Questions Being Studied

Studying the interaction and associations between the diagnosis of diabetes and diagnosis of renal diseases in the AllofUs data.

Project Purpose(s)

  • Disease Focused Research (Diabetes, Renal diseases)
  • Educational

Scientific Approaches

The ultimate goal of the study is to understand and investigate the possibility of statistically significant associations between the development of a renal disease in diabetic patients and difference in subgroups based on their genetics.

Anticipated Findings

Deeper understanding of the associated factors and predispositions among diabetic patients according to their genetics and the risk of developing renal diseases among them.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Controlled Tier

Research Team

Owner:

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