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      Early hematological indices as a predictor of placenta accreta in women with high suspicion of accreta

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          Abstract

          There is a lack of early biomarkers to predict the placenta accreta spectrum; thus, searching for available and easily obtained markers such as hematological indices is an attractive option. The current study is a diagnostic accuracy study included 198 women; all women underwent an assessment of their hematological indices during their first trimester as part of their routine antenatal care. All women included in the study had a high suspicion of developing placenta accreta spectrum; the women were followed up until their delivery. White blood cell, neutrophil count, and red cell distribution width (RDW) were significantly higher in the women with accreta than those without accreta. RDW had fair ability (area under the curve, 0.707) as a predictor of accreta. RDW had the highest positive and lowest negative likelihood ratios (indicating better value than the rest of the markers). In multivariate analysis, RDW and the platelet-lymphocyte ratio were independently associated with accreta after adjustment to the effects of age, gestational age, gravida, parity, abortion, and past medical/surgical history. In conclusion, simple, early blood count parameters may be utilized for placenta accreta; RDW appears to be the best predictor of placenta accreta.

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          Inflammation and cancer: back to Virchow?

          The response of the body to a cancer is not a unique mechanism but has many parallels with inflammation and wound healing. This article reviews the links between cancer and inflammation and discusses the implications of these links for cancer prevention and treatment. We suggest that the inflammatory cells and cytokines found in tumours are more likely to contribute to tumour growth, progression, and immunosuppression than they are to mount an effective host antitumour response. Moreover cancer susceptibility and severity may be associated with functional polymorphisms of inflammatory cytokine genes, and deletion or inhibition of inflammatory cytokines inhibits development of experimental cancer. If genetic damage is the "match that lights the fire" of cancer, some types of inflammation may provide the "fuel that feeds the flames". Over the past ten years information about the cytokine and chemokine network has led to development of a range of cytokine/chemokine antagonists targeted at inflammatory and allergic diseases. The first of these to enter the clinic, tumour necrosis factor antagonists, have shown encouraging efficacy. In this article we have provided a rationale for the use of cytokine and chemokine blockade, and further investigation of non-steroidal anti-inflammatory drugs, in the chemoprevention and treatment of malignant diseases.
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            Sensitivity, Specificity, and Predictive Values: Foundations, Pliabilities, and Pitfalls in Research and Practice

            Within the context of screening tests, it is important to avoid misconceptions about sensitivity, specificity, and predictive values. In this article, therefore, foundations are first established concerning these metrics along with the first of several aspects of pliability that should be recognized in relation to those metrics. Clarification is then provided about the definitions of sensitivity, specificity, and predictive values and why researchers and clinicians can misunderstand and misrepresent them. Arguments are made that sensitivity and specificity should usually be applied only in the context of describing a screening test’s attributes relative to a reference standard; that predictive values are more appropriate and informative in actual screening contexts, but that sensitivity and specificity can be used for screening decisions about individual people if they are extremely high; that predictive values need not always be high and might be used to advantage by adjusting the sensitivity and specificity of screening tests; that, in screening contexts, researchers should provide information about all four metrics and how they were derived; and that, where necessary, consumers of health research should have the skills to interpret those metrics effectively for maximum benefit to clients and the healthcare system.
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              Red blood cell distribution width: A simple parameter with multiple clinical applications.

              The red blood cell distribution width (RDW) is a simple and inexpensive parameter, which reflects the degree of heterogeneity of erythrocyte volume (conventionally known as anisocytosis), and is traditionally used in laboratory hematology for differential diagnosis of anemias. Nonetheless, recent evidence attests that anisocytosis is commonplace in human disorders such as cardiovascular disease, venous thromboembolism, cancer, diabetes, community-acquired pneumonia, chronic obstructive pulmonary disease, liver and kidney failure, as well as in other acute or chronic conditions. Despite some demographic and analytical issues related to the routine assessment that may impair its clinical usefulness, an increased RDW has a high negative predictive value for diagnosing a variety of disorders, but also conveys important information for short- and long-term prognosis. Even more importantly, the value of RDW is now being regarded as a strong and independent risk factor for death in the general population. Although it has not been definitely established whether an increased value of RDW is a risk factor or should only be considered an epiphenomenon of an underlying biological and metabolic imbalance, it seems reasonable to suggest that the assessment of this parameter should be broadened far beyond the differential diagnosis of anemias. An increased RDW mirrors a profound deregulation of erythrocyte homeostasis involving both impaired erythropoiesis and abnormal red blood cell survival, which may be attributed to a variety of underlying metabolic abnormalities such as shortening of telomere length, oxidative stress, inflammation, poor nutritional status, dyslipidemia, hypertension, erythrocyte fragmentation and alteration of erythropoietin function. As such, the aim of this article is to provide general information about RDW and its routine assessment, to review the most relevant implications in health and disease and give some insights about its potential clinical applications.
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                Author and article information

                Contributors
                Journal
                Medicine (Baltimore)
                Medicine (Baltimore)
                MD
                Medicine
                Lippincott Williams & Wilkins (Hagerstown, MD )
                0025-7974
                1536-5964
                03 January 2025
                03 January 2025
                : 104
                : 1
                : e41084
                Affiliations
                [a ]College of Pharmacy, Gilgamesh University, Baghdad, Iraq
                [b ]Department of Gynecology and Obstetrics, Al-Yarmouk Teaching Hospital, Baghdad, Iraq.
                Author notes
                [* ]Correspondence: Ali Mohammed Ali Al-Nuaimi, College of Pharmacy, Gilgamesh University 10022, Baghdad, Iraq (e-mail: ali.m.alnuaimi@ 123456gu.edu.iq ).
                Author information
                https://orcid.org/0000-0001-5185-1049
                Article
                MD-D-24-09971 00062
                10.1097/MD.0000000000041084
                11709178
                b7165b90-d129-4979-a821-53e966b5bfc8
                Copyright © 2025 the Author(s). Published by Wolters Kluwer Health, Inc.

                This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 24 August 2024
                : 03 December 2024
                : 06 December 2024
                Categories
                5600
                Research Article
                Diagnostic Accuracy Study
                Custom metadata
                TRUE

                early predictors,lymphocyte,placenta accreta,platelet,red cell distribution width

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