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      Predictive value of plasma proenkephalin and neutrophil gelatinase-associated lipocalin in acute kidney injury and mortality in cardiogenic shock

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          Abstract

          Background

          Acute kidney injury (AKI) is a frequent form of organ injury in cardiogenic shock. However, data on AKI markers such as plasma proenkephalin (P-PENK) and neutrophil gelatinase-associated lipocalin (P-NGAL) in cardiogenic shock populations are lacking. The objective of this study was to assess the ability of P-PENK and P-NGAL to predict acute kidney injury and mortality in cardiogenic shock.

          Results

          P-PENK and P-NGAL were measured at different time points between baseline and 48 h in 154 patients from the prospective CardShock study. The outcomes assessed were AKI defined by an increase in creatinine within 48 h and all-cause 90-day mortality. Mean age was 66 years and 26% were women. Baseline levels of P-PENK and P-NGAL (median [interquartile range]) were 99 (71–150) pmol/mL and 138 (84–214) ng/mL. P-PENK > 84.8 pmol/mL and P-NGAL > 104 ng/mL at baseline were identified as optimal cut-offs for AKI prediction and independently associated with AKI (adjusted HRs 2.2 [95% CI 1.1–4.4, p = 0.03] and 2.8 [95% CI 1.2–6.5, p = 0.01], respectively). P-PENK and P-NGAL levels at baseline were also associated with 90-day mortality. For patients with oliguria < 0.5 mL/kg/h for > 6 h before study enrollment, 90-day mortality differed significantly between patients with low and high P-PENK/P-NGAL at baseline (5% vs. 68%, p < 0.001). However, the biomarkers provided best discrimination for mortality when measured at 24 h. Identified cut-offs of P-PENK 24h > 105.7 pmol/L and P-NGAL 24h > 151 ng/mL had unadjusted hazard ratios of 5.6 (95% CI 3.1–10.7, p < 0.001) and 5.2 (95% CI 2.8–9.8, p < 0.001) for 90-day mortality. The association remained significant despite adjustments with AKI and two risk scores for mortality in cardiogenic shock.

          Conclusions

          High levels of P-PENK and P-NGAL at baseline were independently associated with AKI in cardiogenic shock patients. Furthermore, oliguria before study inclusion was associated with worse outcomes only if combined with high baseline levels of P-PENK or P-NGAL. High levels of both P-PENK and P-NGAL at 24 h were found to be strong and independent predictors of 90-day mortality.

          Trial registration: NCT01374867 at www.clinicaltrials.gov, registered 16 Jun 2011—retrospectively registered

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          Most cited references29

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          A new equation to estimate glomerular filtration rate.

          Equations to estimate glomerular filtration rate (GFR) are routinely used to assess kidney function. Current equations have limited precision and systematically underestimate measured GFR at higher values. To develop a new estimating equation for GFR: the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation. Cross-sectional analysis with separate pooled data sets for equation development and validation and a representative sample of the U.S. population for prevalence estimates. Research studies and clinical populations ("studies") with measured GFR and NHANES (National Health and Nutrition Examination Survey), 1999 to 2006. 8254 participants in 10 studies (equation development data set) and 3896 participants in 16 studies (validation data set). Prevalence estimates were based on 16,032 participants in NHANES. GFR, measured as the clearance of exogenous filtration markers (iothalamate in the development data set; iothalamate and other markers in the validation data set), and linear regression to estimate the logarithm of measured GFR from standardized creatinine levels, sex, race, and age. In the validation data set, the CKD-EPI equation performed better than the Modification of Diet in Renal Disease Study equation, especially at higher GFR (P < 0.001 for all subsequent comparisons), with less bias (median difference between measured and estimated GFR, 2.5 vs. 5.5 mL/min per 1.73 m(2)), improved precision (interquartile range [IQR] of the differences, 16.6 vs. 18.3 mL/min per 1.73 m(2)), and greater accuracy (percentage of estimated GFR within 30% of measured GFR, 84.1% vs. 80.6%). In NHANES, the median estimated GFR was 94.5 mL/min per 1.73 m(2) (IQR, 79.7 to 108.1) vs. 85.0 (IQR, 72.9 to 98.5) mL/min per 1.73 m(2), and the prevalence of chronic kidney disease was 11.5% (95% CI, 10.6% to 12.4%) versus 13.1% (CI, 12.1% to 14.0%). The sample contained a limited number of elderly people and racial and ethnic minorities with measured GFR. The CKD-EPI creatinine equation is more accurate than the Modification of Diet in Renal Disease Study equation and could replace it for routine clinical use. National Institute of Diabetes and Digestive and Kidney Diseases.
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            Contemporary Management of Cardiogenic Shock: A Scientific Statement From the American Heart Association

            Cardiogenic shock is a high-acuity, potentially complex, and hemodynamically diverse state of end-organ hypoperfusion that is frequently associated with multisystem organ failure. Despite improving survival in recent years, patient morbidity and mortality remain high, and there are few evidence-based therapeutic interventions known to clearly improve patient outcomes. This scientific statement on cardiogenic shock summarizes the epidemiology, pathophysiology, causes, and outcomes of cardiogenic shock; reviews contemporary best medical, surgical, mechanical circulatory support, and palliative care practices; advocates for the development of regionalized systems of care; and outlines future research priorities.
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              Notice

              SECTION I: USE OF THE CLINICAL PRACTICE GUIDELINE This Clinical Practice Guideline document is based upon the best information available as of February 2011. It is designed to provide information and assist decision-making. It is not intended to define a standard of care, and should not be construed as one, nor should it be interpreted as prescribing an exclusive course of management. Variations in practice will inevitably and appropriately occur when clinicians take into account the needs of individual patients, available resources, and limitations unique to an institution or type of practice. Every health-care professional making use of these recommendations is responsible for evaluating the appropriateness of applying them in the setting of any particular clinical situation. The recommendations for research contained within this document are general and do not imply a specific protocol. SECTION II: DISCLOSURE Kidney Disease: Improving Global Outcomes (KDIGO) makes every effort to avoid any actual or reasonably perceived conflicts of interest that may arise as a result of an outside relationship or a personal, professional, or business interest of a member of the Work Group. All members of the Work Group are required to complete, sign, and submit a disclosure and attestation form showing all such relationships that might be perceived or actual conflicts of interest. This document is updated annually and information is adjusted accordingly. All reported information is published in its entirety at the end of this document in the Work Group members' Biographical and Disclosure Information section, and is kept on file at the National Kidney Foundation (NKF), Managing Agent for KDIGO.
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                Author and article information

                Contributors
                toni.jantti@fimnet.fi
                veli-pekka.harjola@hus.fi
                Journal
                Ann Intensive Care
                Ann Intensive Care
                Annals of Intensive Care
                Springer International Publishing (Cham )
                2110-5820
                5 February 2021
                5 February 2021
                2021
                : 11
                : 25
                Affiliations
                [1 ]Department of Cardiology, Heart and Lung Center, Helsinki University Hospital, University of Helsinki, 00029 HUS Helsinki, Finland
                [2 ]Emergency Medicine, Department of Emergency Medicine and Services, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
                [3 ]GRID grid.15485.3d, ISNI 0000 0000 9950 5666, HUSLAB Diagnostic Services, , Helsinki University Hospital and University of Helsinki, ; Helsinki, Finland
                [4 ]GRID grid.7737.4, ISNI 0000 0004 0410 2071, Internal Medicine, Department of Internal Medicine and Rehabilitation, Helsinki University Hospital, , University of Helsinki, ; Helsinki, Finland
                [5 ]GRID grid.7080.f, Intensive Cardiac Care Unit, Cardiology Department, Hospital de La Santa Creu I Sant Pau, Biomedical Research Institute IIB‐SantPau, , Universidad Autónoma de Barcelona, ; Barcelona, Spain
                [6 ]GRID grid.5808.5, ISNI 0000 0001 1503 7226, CINTESIS, Department of Cardiology, São João Hospital Center, and Porto Medical School, , University of Porto, ; Porto, Portugal
                [7 ]GRID grid.418887.a, Intensive Cardiac Therapy Clinic, , National Institute of Cardiology, ; Warsaw, Poland
                [8 ]GRID grid.7841.a, Department of Medical Sciences and Translational Medicine, Sant’Andrea Hospital, , University of Rome Sapienza, ; Rome, Italy
                [9 ]GRID grid.508487.6, ISNI 0000 0004 7885 7602, INSERM U942, Department of Anesthesia and Critical Care, Hôpital Lariboisière, APHP, , University Paris Diderot, ; Paris, France
                [10 ]Nephrology, Department of Nephrology, Abdominal Center, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
                Author information
                http://orcid.org/0000-0001-8348-0844
                Article
                814
                10.1186/s13613-021-00814-8
                7865050
                33547528
                ec102755-be50-4779-8d5c-4cdb1d639510
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 31 August 2020
                : 20 January 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100010133, Aarne Koskelon Säätiö;
                Award ID: .
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100005633, Sydäntutkimussäätiö;
                Award ID: -
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2021

                Emergency medicine & Trauma
                cardiogenic shock,acute kidney injury,aki,mortality,prognosis,proenkephalin,penk,ngal

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