Evaluating Hematological Inflammatory Markers as Predictors of Preeclampsia

dc.contributor.authorGenc, Serife Ozlem
dc.contributor.authorErdal, Huseyin
dc.date.accessioned2024-10-26T18:07:45Z
dc.date.available2024-10-26T18:07:45Z
dc.date.issued2024
dc.departmentSivas Cumhuriyet Üniversitesi
dc.description.abstractBackground: Preeclampsia, affecting 2-8% of pregnancies, is characterized by new-onset hypertension, proteinuria, and edema, stemming from placental dysfunction and subsequent inflammatory cascade activation. This study aimed to test the predictive ability of hematological indices in predicting preeclampsia. Therefore, predicting the diagnosis of preeclampsia earlier with higher accuracy could potentially preserve the lives of both the mother and the fetus, while also reducing the rates of complications. Methods: This retrospective study included two groups: patients with preeclampsia and a matched control group without additional medical conditions, both having undergone childbirth in the same gestational week. The primary difference between the groups was the preeclampsia diagnosis. Hematological parameters and inflammatory indices were compared for analysis. Results: Statistical significance was observed between derived neutrophil-lymphocyte ratio (dNLR), systemic immune-inflammation index (SIRI) and pan-immune inflammation value (PIV) between groups. The dNLR and PIV showed predictive relevance for preeclampsia (p < 0.05). However, their predictive performance was weak (under the curve (AUC) <0.5). A composite index (CoI) combining these indices achieved a higher AUC of 0.62, indicating limited better predictive performance capability. Conclusions: These findings affirm the correlation between preeclampsia and increased inflammation. Inflammatory markers like the dNLR, SIRI, and PIV showed statistical significance but were not practically useful in clinical settings due to their low sensitivity and specificity. The results highlight the necessity of exploring a CoI, which combines these markers, to enhance predictive accuracy and clinical utility.
dc.description.sponsorshipObstetrics Clinic at Sivas Cumhuriyet University
dc.description.sponsorshipWe would like to acknowledge the support of the Obstetrics Clinic at Sivas Cumhuriyet University for providing access to essential equipment and facilities necessary for data collection and analysis.
dc.identifier.doi10.31083/j.ceog5107163
dc.identifier.issn0390-6663
dc.identifier.issn2709-0094
dc.identifier.issue7
dc.identifier.scopus2-s2.0-85199422731
dc.identifier.scopusqualityQ4
dc.identifier.urihttps://doi.org/10.31083/j.ceog5107163
dc.identifier.urihttps://hdl.handle.net/20.500.12418/29669
dc.identifier.volume51
dc.identifier.wosWOS:001292852900017
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherImr Press
dc.relation.ispartofClinical and Experimental Obstetrics & Gynecology
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectpreeclampsia
dc.subjectinflammation
dc.subjecthematological parameters
dc.subjectinflammatory indices
dc.subjectderived neutrophil lymphocyte ratio
dc.subjectpan-immune inflammation value
dc.subjectsystemic inflammatory index
dc.titleEvaluating Hematological Inflammatory Markers as Predictors of Preeclampsia
dc.typeArticle

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