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      Monocyte distribution width as an early predictor of short-term outcome in adult patients with sepsis

      1 , 1 , 2 , 3 , 1 , 4
      Clinical Chemistry and Laboratory Medicine (CCLM)
      Walter de Gruyter GmbH

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          Abstract

          Objectives

          Monocyte distribution width (MDW) is a quantitative measurement of monocyte anisocytosis and has been proposed as an efficient marker for early sepsis detection. This study aimed to assess the prognostic potential of MDW in septic patients.

          Methods

          In this study, a total of 252 adult septic patients were enrolled. Demographic, clinical, and laboratory finding including MDW and traditional inflammatory biomarkers detected at three time points (day 1, day 3 and day 6) after admission were collected and compared between 28-day survivors and non-survivors. Receiver operating characteristic (ROC) curves, Kaplan-Meier survival curve and Cox regression analyses were performed to assess and compare their predictive values. Group-based trajectory modeling was applied to identify MDW trajectory endotypes. Basic characteristics and 28-day outcomes were compared between the trajectories.

          Results

          ROC curve analysis showed that MDW levels measured on day 3 after admission (D 3-MDW) had moderate prognostic value and was independently associated with 28-day mortality in patients with sepsis. A D 3-MDW value of 26.20 allowed discrimination between survivors and non-survivors with a sensitivity of 77.8 % and a specificity of 67.6 %. However, the prognostic accuracy of D 3-MDW was diminished in immune-compromised patients and patients who already received antibiotics before admission. Group-based trajectory modeling indicated that excessively elevated and delayed decreased MDW levels during the first week after admission inversely correlated with prognosis.

          Conclusions

          MDW values detected on day 3 after admission and its kinetic change might be potential markers for predicting short-term outcome in adult septic patients.

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          Most cited references35

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          The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3).

          Definitions of sepsis and septic shock were last revised in 2001. Considerable advances have since been made into the pathobiology (changes in organ function, morphology, cell biology, biochemistry, immunology, and circulation), management, and epidemiology of sepsis, suggesting the need for reexamination.
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            Surviving Sepsis Campaign: International Guidelines for Management of Sepsis and Septic Shock: 2016.

            To provide an update to "Surviving Sepsis Campaign Guidelines for Management of Sepsis and Septic Shock: 2012".
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              • Record: found
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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

                Contributors
                Journal
                Clinical Chemistry and Laboratory Medicine (CCLM)
                Walter de Gruyter GmbH
                1434-6621
                1437-4331
                February 26 2024
                December 13 2023
                February 01 2024
                February 26 2024
                October 11 2023
                February 01 2024
                : 62
                : 3
                : 562-571
                Affiliations
                [1 ]Department of Laboratory Medicine, The First Affiliated Hospital , Sun Yat-Sen University , Guangzhou , P.R. China
                [2 ]School of Basic Medical Sciences , Southern Medical University , Guangzhou , P.R. China
                [3 ]Department of Medical Affair , Danaher Diagnostic Platform , Shanghai , P.R. China
                [4 ]Department of Laboratory Medicine, Guangxi Hospital Division of the First Affiliated Hospital , Sun Yat-Sen University , Nanning , P.R. China
                Article
                10.1515/cclm-2023-0577
                741d0956-c611-4937-bbf6-846840479c54
                © 2024
                History

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