Fatemeh Amrollahi

Graduate Trainee, University of California, San Diego

6 active projects

Effect of SDOH for septic patient 30 days readmisison & Survival

Within our previous study using Dataset registered tier v4 we found that Social determinants of health can improve the model accuracy for predicting power for 30 days readmission among septic patient and survival factors. Within this study i want to…

Scientific Questions Being Studied

Within our previous study using Dataset registered tier v4 we found that Social determinants of health can improve the model accuracy for predicting power for 30 days readmission among septic patient and survival factors. Within this study i want to incorporate the index deprivation and zip code to my model and check if it helps my model accuracy.

Project Purpose(s)

  • Disease Focused Research (Sepsis 3)
  • Social / Behavioral
  • Educational
  • Methods Development

Scientific Approaches

1. I will use the Allofus Data set (v5)
a. will EHR data to extract lab and vital measurements
b.will use conditions to extract the ICD 10 and ICD 9 of patient to extract etiologies
c.will use the survey's questions to extract SDH features
d. will provide causality relation between readmission and survival

Anticipated Findings

SDH might improve my model accuracy for 30 days readmission among septic patients. Our previous study polished recently in JAMIA showed that SDH features significantly improve the model accuracy for predicting 30 days readmission among patients tagged with Sepsis 3.

Demographic Categories of Interest

  • Race / Ethnicity
  • Age
  • Sex at Birth
  • Gender Identity
  • Sexual Orientation
  • Geography
  • Disability Status
  • Access to Care
  • Education Level
  • Income Level

Data Set Used

Controlled Tier

Research Team

Owner:

MED299-Spring2022

The goal is this research is to study the effect of social determinants of health on sepsis related mortality.

Scientific Questions Being Studied

The goal is this research is to study the effect of social determinants of health on sepsis related mortality.

Project Purpose(s)

  • Methods Development

Scientific Approaches

Social determinants of health will be extracted from the survey questions among hospitalized patients.

Anticipated Findings

Findings from the study may help uncover social determinants of health associated with sepsis related mortality.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Registered Tier

Research Team

Owner:

Collaborators:

  • Rahul M Patil - Graduate Trainee, University of California, San Diego
  • Nancy Yuan - Graduate Trainee, University of California, San Diego
  • Archil Srivastava - Graduate Trainee, University of California, San Diego
  • Aaron Boussina - Graduate Trainee, University of California, San Diego

Sepsis Readmission - v5

We intend to use this dataset in MED299 at UC San Diego in order to teach students about cloud computing and informatics.

Scientific Questions Being Studied

We intend to use this dataset in MED299 at UC San Diego in order to teach students about cloud computing and informatics.

Project Purpose(s)

  • Social / Behavioral
  • Methods Development

Scientific Approaches

Sepsis is one of the country’s most urgent systemic health threats. Each year, more than 1.5 million people in the U.S. get sepsis. Sepsis kills a quarter-million Americans each year. Sepsis can occur when a trauma or an infection – often caused by a superbug or drug-resistant bacteria in the skin, lungs or urinary tract – triggers a chain reaction throughout the body. Without timely recognition and treatment, it can rapidly cause tissue damage, organ failure, and death; each hour treatment of sepsis is delayed mortality risk increases by an additional 4%. One in three patients who die in a hospital have sepsis. We intend to use regression analysis to study the factors that contribute to sepsis readmission.

Anticipated Findings

Successful prevention and management of sepsis, septic shock, and organ injury rely on the ability of clinicians to anticipate and estimate the risk, and administer the right life-saving treatments (e.g., antibiotics, fluids and vasopressors) at the right time.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Registered Tier

Research Team

Owner:

AKI readmission

AKI is a life-threatening condition that affects approximately one in five hospitalized patients in the US. In this study, we intend to characterize readmissions amongst patients with AKI.

Scientific Questions Being Studied

AKI is a life-threatening condition that affects approximately one in five hospitalized patients in the US. In this study, we intend to characterize readmissions amongst patients with AKI.

Project Purpose(s)

  • Methods Development

Scientific Approaches

Dataset: All inpatient ED encounters
Patients will be tagged for AKI using the KDIGO criteria. We intend to use regression analysis to study the factors that contribute to AKI readmission.

Anticipated Findings

Successful prevention and management of AKI and organ injury rely on the ability of clinicians to anticipate and estimate the risk, and administer the right life-saving treatments (e.g., antibiotics, fluids and vasopressors) at the right time.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Registered Tier

Research Team

Owner:

Sepsis readmission-Full-version

We intend to use this dataset in MED299 at UC San Diego in order to teach students about cloud computing and informatics.

Scientific Questions Being Studied

We intend to use this dataset in MED299 at UC San Diego in order to teach students about cloud computing and informatics.

Project Purpose(s)

  • Disease Focused Research (Sepsis )
  • Educational

Scientific Approaches

Sepsis is one of the country’s most urgent systemic health threats. Each year, more than 1.5 million people in the U.S. get sepsis. Sepsis kills a quarter-million Americans each year. Sepsis can occur when a trauma or an infection – often caused by a superbug or drug-resistant bacteria in the skin, lungs or urinary tract – triggers a chain reaction throughout the body. Without timely recognition and treatment, it can rapidly cause tissue damage, organ failure, and death; each hour treatment of sepsis is delayed mortality risk increases by an additional 4%. One in three patients who die in a hospital have sepsis. We intend to use regression analysis to study the factors that contribute to sepsis readmission.

Anticipated Findings

Successful prevention and management of sepsis, septic shock, and organ injury rely on the ability of clinicians to anticipate and estimate the risk, and administer the right life-saving treatments (e.g., antibiotics, fluids and vasopressors) at the right time.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Registered Tier

Research Team

Owner:

MED299

We intend to use this dataset in MED299 at UC San Diego in order to teach students about cloud computing and informatics.

Scientific Questions Being Studied

We intend to use this dataset in MED299 at UC San Diego in order to teach students about cloud computing and informatics.

Project Purpose(s)

  • Disease Focused Research (Sepsis )
  • Educational

Scientific Approaches

Sepsis is one of the country’s most urgent systemic health threats. Each year, more than 1.5 million people in the U.S. get sepsis. Sepsis kills a quarter-million Americans each year. Sepsis can occur when a trauma or an infection – often caused by a superbug or drug-resistant bacteria in the skin, lungs or urinary tract – triggers a chain reaction throughout the body. Without timely recognition and treatment, it can rapidly cause tissue damage, organ failure, and death; each hour treatment of sepsis is delayed mortality risk increases by an additional 4%. One in three patients who die in a hospital have sepsis. We intend to use regression analysis to study the factors that contribute to sepsis readmission.

Anticipated Findings

Successful prevention and management of sepsis, septic shock, and organ injury rely on the ability of clinicians to anticipate and estimate the risk, and administer the right life-saving treatments (e.g., antibiotics, fluids and vasopressors) at the right time.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Registered Tier

Research Team

Owner:

  • Zaid Yousif - Research Fellow, University of California, San Diego
  • Supreeth Shashikumar - Research Fellow, University of California, San Diego
  • Shamim Nemati - Early Career Tenure-track Researcher, University of California, San Diego
  • Fatemeh Amrollahi - Graduate Trainee, University of California, San Diego
  • Aaron Boussina - Graduate Trainee, University of California, San Diego
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