OBJECTIVE

To investigate the use of systemic immune-response index (SIRI) and other inflammatory indices for the prediction of HELLP syndrome STUDY DESIGN: The presented retrospective case-control study was conducted with twenty-eight pregnant women diagnosed with HELLP syndrome and 100 low-risk pregnant women. The possible predictive indices for HELLP syndrome were determined as NLR (neutrophil/lymphocyte), MLR (monocyte/lymphocyte), HbLR (hemoglobin/lymphocyte), SII (neutrophil×platelet/lymphocyte), and SIRI (neutrophil×monocyte/lymphocyte). The indices were evaluated in the first trimester and at the admission time for delivery for all participants. The statistical analyses were carried out using SPSS 23. Descriptive statistics were presented as the mean and standard deviation (SD), as they conform to a normal distribution. To compare the parameters between the groups, the Student-t test was used. Categorical variables were presented as numbers and percentages. The chi-square test was used to compare categorical variables between groups. The paired sample t-test was used to compare correlated samples. Statistical significance was defined as a two-tailed P value of 0.05.

RESULTS

In the first trimester; WBC, neutrophil, and monocyte counts were statistically higher in the HELLP syndrome group. However, no significant difference was observed between the groups for the concerned indices. The hemoglobin, WBC, neutrophil, monocyte counts, NLR, SIRI and MLR were significantly higher in the HELLP group at the delivery time. Platelet count was decreased and ALT/AST counts and adverse outcomes were found to be significantly higher at delivery time admission in the HELLP syndrome group.

CONCLUSION

To the best of our knowledge, this was the first study investigating SIRI with the other indices for the prediction of HELLP syndrome in accordance with its inflammatory etiology. The underlying inflammatory process was observed at the delivery time. However, none of the investigated indices was found effective in the first trimester in the prediction. Simple and non-invasive prediction indices might be valuable tools for the prediction and management of HELLP syndrome. Further and larger studies are needed for this purpose.