Unraveling the genetic and molecular landscape of sepsis and acute kidney injury: A comprehensive GWAS and machine learning approach-Reference-Cited by-同舟云学术

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Unraveling the genetic and molecular landscape of sepsis and acute kidney injury: A comprehensive GWAS and machine learning approach

Published:2024-08 Issue: Volume:137 Page:112420
ISSN:1567-5769
Container-title:International Immunopharmacology
language:en
Short-container-title:International Immunopharmacology

Author:

Yang Sha,Guo Jing,Xiong Yunbiao,Han Guoqiang,Luo Tao,Peng Shuo,Liu Jian,Hu Tieyi,Zha Yan,Lin Xin,Tan Ying^ORCID,Zhang Jiqin

Publisher

Elsevier BV

Reference71 articles.

1. Incidence and mortality of hospital- and ICU-treated sepsis: results from an updated and expanded systematic review and meta-analysis;Fleischmann-Struzek;Intensive Care Med.,2020

2. Epidemiology and burden of sepsis acquired in hospitals and intensive care units: a systematic review and meta-analysis;Markwart;Intensive Care Med.,2020

3. The third international consensus definitions for sepsis and septic shock (Sepsis-3);Singer;JAMA,2016

4. Sepsis-induced acute kidney injury: a disease of the microcirculation;Ma;Microcirculation,2019

5. Mortality and predictors of acute kidney injury in adults: a hospital-based prospective observational study;Abebe;Sci. Rep.,2021

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