Kidney & Blood Pressure Research · 2016 · 21 citations · 23 references
MedicineInternal MedicineNephrologyRenal PathologyRenal PathophysiologyRenal Replacement TherapyAcute Kidney InjuryChronic Kidney DiseaseRenal DiseaseRenal IschemiaRenal Ischemic InjuryAcute Kidney Injury DiagnosisAcute Kidney Injury EpidemiologyAcute Kidney Injury PathophysiologyAcute Kidney Injury Risk PredictionBlood PressureCkd ProgressionComplications Of CkdLogistic Regression
BACKGROUND/AIMS: This study aimed to investigate the incidence and risk factors for acute kidney injury (AKI) and chronic kidney disease (CKD) in patients with renal infarction. METHODS: A single-center retrospective study was conducted from January 2005 to December 2013. Baseline and clinical characteristics of the enrolled patients with renal infarction were evaluated and analyzed according to the presence of AKI and CKD. In particular, predictors for AKI and CKD were determined using logistic regression analysis. RESULTS: Of the 105 patients included in present study, 41 (39.0%) patients had AKI. A total of 80 patients were followed up for 2 years after hospital discharge. Among these patients, 27 (33.8%) patients had CKD. In the multivariate analysis, the predictors were mean blood pressure (odds ratio [OR] 1.062, 95% confidence interval [CI] 1.015-1.112, p = 0.009) and bilateral involvement (OR 4.396, 95% CI 1.096-17.632, p = 0.037) for AKI, and AKI (OR 14.799, 95% CI 4.173-52.490, p < 0.001) and old age (OR 1.065, 95% CI 1.016-1.116, p = 0.009) for CKD. CONCLUSIONS: Physicians should pay attention to the development of AKI and CKD after renal infarction and follow patients over a long term.
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KDIGO Clinical Practice Guidelines for Acute Kidney Injury
Arif Khwaja · Nephron Clinical Practice · 2012 · 8K citations
Epithelial cell cycle arrest in G2/M mediates kidney fibrosis after injury
Li Yang, Tatiana Y. Besschetnova, Craig R. Brooks et al. · Nature Medicine · 2010 · 1.3K citations · Full text
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