PT  - JOURNAL ARTICLE
AU  - Çallıoğlu, Nihal
AU  - Gül, Derya K.
AU  - Arslan, İlke Ö.
AU  - Geyikoğlu, İpek
AU  - Demirçivi, Ergül
TI  - Inflammatory markers in systemic immune-inflammatory index and inflammatory response index to predict early pregnancy loss
AID  - 10.15537/smj.2024.45.8.20240404
DP  - 2024 Aug 01
TA  - Saudi Medical Journal
PG  - 808--813
VI  - 45
IP  - 8
4099  - http://smj.org.sa/content/45/8/808.short
4100  - http://smj.org.sa/content/45/8/808.full
SO  - Saudi Med J2024 Aug 01; 45
AB  - Objectives: To uncover the predictive value of systemic immune-inflammatory index (SII) and systemic inflammatory response index (SIRI) on early pregnancy loss.Methods: A total of 535 individuals were enrolled in this retrospective analysis. The early pregnancy losses (EPL) group included patients between 18-35 years old who experienced EPL. The control group comprised healthy pregnant women who gave birth at ≥37 weeks.Results: The EPL group had significantly lower plateletcrit (p=0.04), platelet distribution width (PDW, p<0.0001), and RDW (p<0.0001) and higher monocyte (p<0.0001) and SIRI (p<0.0001) values than the control group. The hemoglobin, white blood cells, platelet count, neutrophil count, lymphocyte count, mean platelet volume, neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), and SII values were not significantly different between the EPL and control groups (p>0.05). The cut-off value for the SIRI that offers the best sensitivity/specificity balance was 1.48 (sensitivity of 63%; specificity of 63%) in the receiver operating characteristics curve. Among the inflammatory parameters for predicting EPL, PDW had highest specificity (84%), and RDW had the highest sensitivity (80%).Conclusion: This study provides compelling evidence that various inflammatory pathways may significantly contribute to EPL pathogenesis. Moreover, our findings suggest that SIRI could be a more effective marker than NLR, PLR, MLR, and SII in predicting EPL in an ongoing pregnancy, thereby potentially revolutionizing early pregnancy loss diagnostics.