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      The Monocyte-to-Lymphocyte Ratio Predicts Acute Kidney Injury After Acute Hemorrhagic Stroke

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          Abstract

          Objectives

          Acute kidney injury (AKI) is a serious complication of acute hemorrhagic stroke (AHS). Early detection and early treatment are crucial for patients with AKI. We conducted a study to analyze the role of the monocyte-to-lymphocyte ratio (MLR) in predicting the development of AKI after AHS.

          Methods

          This retrospective observational study enrolled all subjects with AHS who attended the neurosurgical intensive care unit (NSICU) at the First Affiliated University of South China between 2018 and 2021. Patient demographics, laboratory data, treatment details, and clinical outcomes were recorded.

          Results

          Of the 771 enrolled patients, 180 (23.3%) patients developed AKI. Compared to patients without AKI, those with AKI had a higher MLR and the neutrophil-lymphocyte ratio (NLR) at admission ( P < 0.001). The MLR and the NLR at admission were associated with an increased AKI risk, with odds ratios (ORs) of 8.27 (95% CI: 4.23, 16.17, p < 0.001) and 1.17 (95% CI: 1.12, 1.22, p < 0.001), respectively. The receiver operating characteristic curve (ROC) analysis was conducted to analyze the ability of the MLR and NLR to predict AKI, and the areas under the curve (AUCs) of the MLR and the NLR were 0.73 (95% CI: 0.69, 0.77, p < 0.001) and 0.67 (95% CI: 0.62, 0.72, p < 0.001), with optimal cutoff values of 0.5556 and 11.65, respectively. The MLR and the NLR at admission were associated with an increased in-hospital mortality risk, with ORs of 3.13 (95% CI: 1.08, 9.04) and 1.07 (95% CI: 1.00, 1.14), respectively. The AUCs of the MLR and the NLR for predicting in-hospital mortality were 0.62 (95% CI: 0.54, 0.71, p = 0.004) and 0.52 (95% CI: 0.43, 0.62, p = 0.568), respectively. The optimal cutoff value for the MLR was 0.7059, with a sensitivity of 51% and a specificity of 73.3%.

          Conclusions

          MLR and NLR measurements in patients with AHS at admission could be valuable tools for identifying patients at high risk of early AKI. The MLR was positively associated with in-hospital mortality and the NLR showed a weak ability for the prediction of in-hospital mortality.

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          Most cited references31

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          Diagnosis, evaluation, and management of acute kidney injury: a KDIGO summary (Part 1)

          Acute kidney injury (AKI) is a common and serious problem affecting millions and causing death and disability for many. In 2012, Kidney Disease: Improving Global Outcomes completed the first ever, international, multidisciplinary, clinical practice guideline for AKI. The guideline is based on evidence review and appraisal, and covers AKI definition, risk assessment, evaluation, prevention, and treatment. In this review we summarize key aspects of the guideline including definition and staging of AKI, as well as evaluation and nondialytic management. Contrast-induced AKI and management of renal replacement therapy will be addressed in a separate review. Treatment recommendations are based on systematic reviews of relevant trials. Appraisal of the quality of the evidence and the strength of recommendations followed the Grading of Recommendations Assessment, Development and Evaluation approach. Limitations of the evidence are discussed and a detailed rationale for each recommendation is provided.
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            Acute renal failure – definition, outcome measures, animal models, fluid therapy and information technology needs: the Second International Consensus Conference of the Acute Dialysis Quality Initiative (ADQI) Group

            Introduction There is no consensus definition of acute renal failure (ARF) in critically ill patients. More than 30 different definitions have been used in the literature, creating much confusion and making comparisons difficult. Similarly, strong debate exists on the validity and clinical relevance of animal models of ARF; on choices of fluid management and of end-points for trials of new interventions in this field; and on how information technology can be used to assist this process. Accordingly, we sought to review the available evidence, make recommendations and delineate key questions for future studies. Methods We undertook a systematic review of the literature using Medline and PubMed searches. We determined a list of key questions and convened a 2-day consensus conference to develop summary statements via a series of alternating breakout and plenary sessions. In these sessions, we identified supporting evidence and generated recommendations and/or directions for future research. Results We found sufficient consensus on 47 questions to allow the development of recommendations. Importantly, we were able to develop a consensus definition for ARF. In some cases it was also possible to issue useful consensus recommendations for future investigations. We present a summary of the findings. (Full versions of the six workgroups' findings are available on the internet at ) Conclusion Despite limited data, broad areas of consensus exist for the physiological and clinical principles needed to guide the development of consensus recommendations for defining ARF, selection of animal models, methods of monitoring fluid therapy, choice of physiological and clinical end-points for trials, and the possible role of information technology.
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              Global variation in stroke burden and mortality: estimates from monitoring, surveillance, and modelling.

              Recent improvements in the monitoring and modelling of stroke have led to more reliable estimates of stroke mortality and burden worldwide. However, little is known about the global distribution of stroke and its relations to the prevalence of cardiovascular disease risk factors and sociodemographic and economic characteristics. National estimates of stroke mortality and burden (measured in disability-adjusted life years [DALYs]) were calculated from monitoring vital statistics, a systematic review of studies that report disease surveillance, and modelling as part of the WHO Global Burden of Disease programme. Similar methods were used to generate standardised measures of the national prevalence of cardiovascular risk factors. Risk factors other than diabetes and disease burden estimates were age-adjusted and sex-adjusted to the WHO standard population. There was a ten-fold difference in rates of stroke mortality and DALY loss between the most-affected and the least-affected countries. Rates of stroke mortality and DALY loss were highest in eastern Europe, north Asia, central Africa, and the south Pacific. National per capita income was the strongest predictor of mortality and DALY loss rates (p<0.0001) even after adjustment for cardiovascular risk factors (p<0.0001). Prevalences of cardiovascular risk factors measured at a national level were generally poor predictors of national stroke mortality rates and burden, although raised mean systolic blood pressure (p=0.028) and low body-mass index (p=0.017) predicted stroke mortality, and greater prevalence of smoking predicted both stroke mortality (p=0.041) and DALY-loss rates (p=0.034). Rates of stroke mortality and burden vary greatly among countries, but low-income countries are the most affected. Current measures of the prevalence of cardiovascular risk factors at the population level poorly predict overall stroke mortality and burden and do not explain the greater burden in low-income countries.
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                Author and article information

                Contributors
                Journal
                Front Neurol
                Front Neurol
                Front. Neurol.
                Frontiers in Neurology
                Frontiers Media S.A.
                1664-2295
                20 June 2022
                2022
                : 13
                : 904249
                Affiliations
                [1] 1Department of Nephrology, The First Affiliated Hospital, Hengyang Medical School, University of South China , Hengyang, China
                [2] 2Department of Gastroenterology, The First Affiliated Hospital, Hengyang Medical School, University of South China , Hengyang, China
                [3] 3Department of Clinical Medicine, Xiangnan University , Chenzhou, China
                [4] 4Department of Nursing, Hengyang Medical School, The First Affiliated Hospital, University of South China , Hengyang, China
                Author notes

                Edited by: Pradeep Kumar, All India Institute of Medical Sciences, India

                Reviewed by: Yajun Cheng, Sichuan University, China; Chunbo Chen, Maoming People's Hospital, China; Eileen Hennrikus, Penn State Milton S. Hershey Medical Center, United States

                *Correspondence: Bo Yang 2018010342@ 123456usc.edu.cn

                This article was submitted to Stroke, a section of the journal Frontiers in Neurology

                Article
                10.3389/fneur.2022.904249
                9251466
                35795792
                6b54284b-b347-450f-9e67-0a9d29878cd9
                Copyright © 2022 Jiang, Liu, Yu, Li, Zhou, Ren, Liu, Zhao and Yang.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 25 March 2022
                : 18 May 2022
                Page count
                Figures: 3, Tables: 4, Equations: 0, References: 31, Pages: 8, Words: 5441
                Categories
                Neurology
                Original Research

                Neurology
                monocyte-to-lymphocyte ratio,acute kidney injury,acute hemorrhagic stroke,prediction,in-hospital mortality

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