Effect of renal replacement therapy on acute kidney injury in sepsis patients
Name
1078689541-MIT.pdf
Description
Full printable version
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564.58 KB
Format
Adobe PDF
Checksum (MD5)
a3d36c07a585bffbba764d877a1b3c00
Author(s)
Argaw, Peniel N. (Peniel Neway)
Advisor(s)
Leo A. Celi.
Date Issued
2018
Publisher
Massachusetts Institute of Technology
Abstract
According to the Centers for Disease Control and Prevention, there are approximately 1.5 million cases of sepsis and over 250,000 resultant deaths each year [1]. One of the major effects of sepsis is organ failure, notably in the kidneys, lungs, liver, and brain. In the case where the kidneys fail, renal replacement therapy (RRT) may be performed in order to sustain the functionality of the kidneys and overall ameliorate patients' outcomes. The goal of this work is to determine the relationship between undergoing RRT and patient outcome. The Philips-MIT eICU Collaborative Research Database was used to identify patients with sepsis and acute kidney injury, and split the cohort into those who had undergone RRT and those who did not. Multivariate logistic regression and propensity score analysis were utilized to evaluate the treatment effect on mortality. The patients who underwent RRT had a significantly better outcome than those who did not (odds ratio = 0.260465, 95% confidence interval = 0.211568 to 0.320664, p<0.001). From the filtered patients, the percentage of men to women increased with those who underwent RRT (55.08% vs. 53.78%) as well as the percentage of African Americans (25% vs. 15.63%) and Other (5.86% vs. 4.04%) ethnicities. In addition to gender and ethnicity, other covariates such as Sequential Organ Failure Assessment score, cirrhosis, and metastatic cancer had a great impact on patient outcomes. This work concludes that RRT does in fact benefit the patient outcome and dialysis is a statistically significant feature within the dataset.
Description
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 39-40).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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