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      Interaction of hemoglobin, transfusion, and acute kidney injury in patients undergoing cardiopulmonary bypass: a group-based trajectory analysis

      research-article
      a , b , c , c
      Renal Failure
      Taylor & Francis
      Anemia, acute kidney injury, cardiopulmonary bypass, transfusion, trajectory

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          Abstract

          Anemia is a risk factor for acute kidney injury (AKI) following cardiopulmonary bypass (CPB). Whether red blood cell (RBC) transfusion-enhanced hemoglobin levels contribute to low AKI rates remains unclear. We investigated the interaction between hemoglobin, RBC transfusion, and AKI after CPB. Hemoglobin trajectories within 72 h were analyzed using group-based trajectory analysis. Multivariable logistic analysis and inverse probability-weighted regression were adopted to evaluate the associations between hemoglobin and AKI in RBC and non-RBC transfusion subgroups. We analyzed 6226 patients’ data. In the transfusion subgroup, three hemoglobin trajectories were identified. The AKI incidence was lowest in the trajectory with the lowest hemoglobin level (trajectory 1, less transfusion), and it was comparable in trajectories 2 and 3 (20.7% vs. 32.7% vs. 29.4%, p < 0.001, respectively). In four logistic models, the odds ratio for AKI with trajectory 1 as the reference ranged from 1.44 to 1.85 for trajectory 2 ( p < 0.001) and 1.45 to 1.66 for trajectory 3 ( p < 0.050). The average treatment effect on AKI was 5.6% ( p = 0.009) for trajectory 2 and 7.5% ( p = 0.041) for trajectory 3, with trajectory 1 as the reference. In the non-RBC transfusion subgroup, three approximately linear hemoglobin trajectories (9, 10, and 12 g/dL) were observed; however, both the crude and adjusted AKI incidence were similar within the three trajectories. In patients undergoing CPB, hemoglobin level >9 g/dL was not associated with decreased AKI incidence in the subgroup without RBC transfusion. However, in patients with RBC transfusion, maintaining hemoglobin level >9 g/dL by RBC transfusion was associated with increased AKI incidence.

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          MIMIC-III, a freely accessible critical care database

          MIMIC-III (‘Medical Information Mart for Intensive Care’) is a large, single-center database comprising information relating to patients admitted to critical care units at a large tertiary care hospital. Data includes vital signs, medications, laboratory measurements, observations and notes charted by care providers, fluid balance, procedure codes, diagnostic codes, imaging reports, hospital length of stay, survival data, and more. The database supports applications including academic and industrial research, quality improvement initiatives, and higher education coursework.
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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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              Group-based trajectory modeling in clinical research.

              Group-based trajectory models are increasingly being applied in clinical research to map the developmental course of symptoms and assess heterogeneity in response to clinical interventions. In this review, we provide a nontechnical overview of group-based trajectory and growth mixture modeling alongside a sampling of how these models have been applied in clinical research. We discuss the challenges associated with the application of both types of group-based models and propose a set of preliminary guidelines for applied researchers to follow when reporting model results. Future directions in group-based modeling applications are discussed, including the use of trajectory models to facilitate causal inference when random assignment to treatment condition is not possible.
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                Author and article information

                Journal
                Ren Fail
                Ren Fail
                Renal Failure
                Taylor & Francis
                0886-022X
                1525-6049
                10 August 2022
                2022
                10 August 2022
                : 44
                : 1
                : 1368-1375
                Affiliations
                [a ]Department of Internal Medicine, Zhejiang Chinese Medical University , Hangzhou, China
                [b ]Department of Oncology, Cixi People’s Hospital , Cixi, China
                [c ]Department of Intensive Care, Zhejiang Hospital , Hangzhou, China
                Author notes
                [*]

                Co-first authors.

                [†]

                Co-corresponding authors.

                Supplemental data for this article is available online at https://doi.org/10.1080/0886022X.2022.2108840.

                CONTACT Yanfei Shen snow.shen@ 123456hotmail.com Department of Intensive Care, Zhejiang Hospital , 1229 Gundun Road, Hangzhou, 310013, Zhejiang, China
                Article
                2108840
                10.1080/0886022X.2022.2108840
                9373743
                35946481
                dc924f4b-9082-4fe5-ae00-f165c4be5aed
                © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                Page count
                Figures: 1, Tables: 4, Pages: 8, Words: 5089
                Categories
                Research Article
                Clinical Study

                Nephrology
                anemia,acute kidney injury,cardiopulmonary bypass,transfusion,trajectory
                Nephrology
                anemia, acute kidney injury, cardiopulmonary bypass, transfusion, trajectory

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