Estimating the Association Between Extreme Heat and Acute Kidney Injury Using Serum Creatinine-Derived Case Definitions Restricted; Files Only
Rabin, Benjamin (Spring 2023)
Published
Abstract
Introduction: Acute kidney injury (AKI) exacts significant morbidity for patients. In addition to well-known clinical risk factors, extreme heat exposure may contribute to the burden of community-acquired AKI. The use of administrative coded data to identify AKI cases has important limitations in estimating the heat-AKI effect. Applying the Kidney Disease: Improving Global Outcomes (KDIGO) criteria instead may improve AKI surveillance while also differentiating hospital-acquired AKI from community-acquired AKI – critical to evaluating risk related to ambient heat.
Methods: We conducted a case-crossover analysis investigating the relationship between daily temperature and AKI-related emergency department (ED) visits in Atlanta, Georgia during consecutive warm seasons between 2016 and 2019. We created six case definitions for AKI using both ICD-coded data and KDIGO-derived equations. KDIGO definitions identified AKI cases by comparing patients’ ED serum creatinine values to surrogate measures for baseline renal function. The KDIGO definitions were designed a priori to identify community-acquired AKI cases as opposed to hospital-acquired AKI.
Results: 264,415 ED visits across 4 warm seasons were included in our analysis. AKI case numbers ranged from 16,647 events using coded data to 54,320 under the most liberal KDIGO-derived definition. We found positive associations between same-day maximum temperature and ED visits for AKI across six definitions. The strongest heat-AKI effects were observed in the KDIGO definitions derived from the 2021 CKD-EPI equation.
Conclusion: Administrative coded data for AKI may underestimate the incidence of community-acquired AKI as well as its association with extreme heat. Applying the KDIGO criteria represents an alternative approach to better estimate the heat-AKI risk.
Table of Contents
Distribution Agreement
1. Approval Sheet (1)
2. Abstract Cover Page (2)
3. Abstract (3)
4. Cover Page (4)
5. Thesis (5-14)
6. Tables and Figures (15-24)
7. References (25-29)
About this Master's Thesis
| School | |
|---|---|
| Department | |
| Subfield / Discipline | |
| Degree | |
| Submission | |
| Language |
|
| Research Field | |
| 关键词 | |
| Committee Chair / Thesis Advisor |
Primary PDF
| Thumbnail | Title | Date Uploaded | Actions |
|---|---|---|---|
|
|
File download under embargo until 18 May 2025 | 2023-03-01 12:58:24 -0500 | File download under embargo until 18 May 2025 |
Supplemental Files
| Thumbnail | Title | Date Uploaded | Actions |
|---|