Utility of complete blood count parameters to detect premature ovarian insufficiency in cases with oligomenorrhea/amenorrhea.
There are very few biomarkers available to diagnose cases with premature ovarian failure. Some complete blood count parameters have been introduced to be diagnostic biomarkers for several disorders associated with inflammatory process. Due to the evidence that indicated chronic inflammatory process to be underlying pathophysiology in premature ovarian insufficiency (POI), we aimed to assess the predictive value of complete blood count parameters for POI diagnosis.METHOD
A total of 96 women diagnosed to have premature ovarian failure were compared with 110 otherwise healthy women in terms of some basal hormone levels and complete blood count parameters.RESULTS
Mean age was similar between groups. Neutrophil/lymphocyte and mean platelet volume/lymphocyte ratios were significantly higher in group with POI (P < .001, P < .003, respectively). In group with POI, there were significant correlations between anti-Mullerian hormone and follicle stimulating hormone (r = -.30, P <.05), anti-Mullerian hormone and white blood cell count (r = .23, P < .05). Mean platelet volume/lymphocyte ratio significantly predicted cases with POI (AUC = 0.607, %95 CI: 0.529-0.684; P < .001).CONCLUSIONS
Neutrophil/lymphocyte and mean platelet volume/lymphocyte ratios are elevated in POI. There have been some controversies about the value of neutrophil/lymphocyte in POI diagnosis. We suggest mean platelet volume/lymphocyte ratio as a new biomarker in early POI because it is cheap and easily accessible compared to anti-Mullerian hormone.