Predictive Value of Platelet-to-Lymphocyte Ratio and Monocyte-to-Lymphocyte Ratio in Acute Kidney Injury of Patients with Sepsis

2021 ◽  
Vol 11 (04) ◽  
pp. 1144-1151
Author(s):  
猛 王
2017 ◽  
Vol 11 (10) ◽  
pp. 847-856 ◽  
Author(s):  
Bartosz Hudzik ◽  
Janusz Szkodziński ◽  
Ilona Korzonek-Szlacheta ◽  
Krzysztof Wilczek ◽  
Marek Gierlotka ◽  
...  

2021 ◽  
Author(s):  
Yuichiro Shimoyama ◽  
Osamu Umegaki ◽  
Noriko Kadono ◽  
Toshiaki Minami

Abstract This study aimed to determine whether presepsin can predict the progression of septic subclinical acute kidney injury (AKI) to septic AKI among intensive care unit (ICU) patients. Presepsin values were measured immediately after ICU admission (baseline) and on Days 2, 3, and 5 after ICU admission. Glasgow Prognostic Score, neutrophil to lymphocyte ratio, platelet to lymphocyte ratio (PLR), Prognostic Index, and Prognostic Nutritional Index were measured at baseline. Presepsin values and these indices were compared between septic AKI and septic subclinical AKI patients. There were 38 septic AKI patients and 21 septic subclinical AKI patients. Receiver operating characteristic curve analyses revealed the following cut-off values for AKI (relative to subclinical AKI): 708.0 (pg/ml) for presepsin on Day 1 (AUC, 0.69; sensitivity, 82%; specificity, 52%), 1283.0 (pg/ml) for presepsin on Day 2 (AUC, 0.69; sensitivity, 55%; specificity, 80%), and 368.66 for PLR (AUC, 0.67; sensitivity, 71%; specificity, 62%). Multivariate logistic regression analyses revealed PLR to be a predictor of septic subclinical AKI (odds ratio, 1.0023; 95% confidence interval, 1.0000-1.0046; p=0.046). Presepsin and PLR predicted the progression of septic subclinical AKI to septic AKI and the prognosis of subclinical septic AKI patients.


Vascular ◽  
2021 ◽  
pp. 170853812110125
Author(s):  
Altuğ Ösken ◽  
Ahmet Öz ◽  
Muhammed Keskin ◽  
Evliya Akdeniz ◽  
Hasan Şahan ◽  
...  

Objectives Contrast-induced acute kidney injury (CI-AKI) is a life-threatening complication that leads to comorbidities and prolonged hospital stay lengths in the setting of peripheral interventions. The presence of some CI-AKI risk factors has already been investigated. In this study, we evaluated the predictors of CI-AKI after carotid artery stenting. Methods A total of 389 patients with 50% to 99% carotid artery stenosis who underwent carotid artery stenting were included in this study. Patients were grouped according to CI-AKI status. Results CI-AKI developed in 26 (6.6%) patients. Age, baseline creatinine level, neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio were higher and estimated glomerular filtration rate, haemoglobin and lymphocyte count were lower in CI-AKI patients. In the multivariate regression analysis, the neutrophil-to-lymphocyte ratio triggered a 1.39- to 2.63-fold increase in the risk of CI-AKI onset ( p < 0.001). Conclusions The neutrophil-to-lymphocyte ratio may be a significant predictor of CI-AKI in patients with carotid artery stenting and higher neutrophil-to-lymphocyte ratio values may be independently associated with CI-AKI.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Side Gao ◽  
Qingbo Liu ◽  
Hui Chen ◽  
Mengyue Yu ◽  
Hongwei Li

Abstract Background Acute hyperglycemia has been recognized as a robust predictor for occurrence of acute kidney injury (AKI) in nondiabetic patients with acute myocardial infarction (AMI), however, its discriminatory ability for AKI is unclear in diabetic patients after an AMI. Here, we investigated whether stress hyperglycemia ratio (SHR), a novel index with the combined evaluation of acute and chronic glycemic levels, may have a better predictive value of AKI as compared with admission glycemia alone in diabetic patients following AMI. Methods SHR was calculated with admission blood glucose (ABG) divided by the glycated hemoglobin-derived estimated average glucose. A total of 1215 diabetic patients with AMI were enrolled and divided according to SHR tertiles. Baseline characteristics and outcomes were compared. The primary endpoint was AKI and secondary endpoints included all-cause death and cardiogenic shock during hospitalization. The logistic regression analysis was performed to identify potential risk factors. Accuracy was defined with area under the curve (AUC) by a receiver-operating characteristic (ROC) curve analysis. Results In AMI patients with diabetes, the incidence of AKI (4.4%, 7.8%, 13.0%; p < 0.001), all-cause death (2.7%, 3.6%, 6.4%; p = 0.027) and cardiogenic shock (4.9%, 7.6%, 11.6%; p = 0.002) all increased with the rising tertile levels of SHR. After multivariate adjustment, elevated SHR was significantly associated with an increased risk of AKI (odds ratio 3.18, 95% confidence interval: 1.99–5.09, p < 0.001) while ABG was no longer a risk factor of AKI. The SHR was also strongly related to the AKI risk in subgroups of patients. At ROC analysis, SHR accurately predicted AKI in overall (AUC 0.64) and a risk model consisted of SHR, left ventricular ejection fraction, N-terminal B-type natriuretic peptide, and estimated glomerular filtration rate (eGFR) yielded a superior predictive value (AUC 0.83) for AKI. Conclusion The novel index SHR is a better predictor of AKI and in-hospital mortality and morbidity than admission glycemia in AMI patients with diabetes.


2018 ◽  
Vol 27 ◽  
pp. S522-S523
Author(s):  
Shahrul Hashim ◽  
Yeong Sing Lee ◽  
Kenny Cheng ◽  
Ashvin Nair ◽  
Sivakumar Krishnasamy ◽  
...  

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