IFIBIO HOUSSAY   25014
INSTITUTO DE FISIOLOGIA Y BIOFISICA BERNARDO HOUSSAY
Unidad Ejecutora - UE
congresos y reuniones científicas
Título:
DIAGNOSTIC PERFORMANCE OF URIC ACID FOR PREDICTION OF PREECLAMPSIA
Autor/es:
BALCONI SILVIA; DAMIANO, ALICIA E; COROMINAS ANA; MARTINEZ, NORA; ORTIZ, MARIA
Lugar:
Puerto Varas
Reunión:
Simposio; VII LatinAmerican Symposium on Maternal-Fetal Interaction & Placenta; 2017
Institución organizadora:
SLIMP
Resumen:
Although it is well-established the relationship between uric acid levels (UA) and severity of preeclampsia, its clinical utility is still controversial. Objective: to characterize the diagnostic performance of UA for the prediction of preeclampsia.We conducted a prospective approach in which all patients who attended her pregnancy in the Hospital Posadas during 2014 were studied. Serum UA, urea and creatinine were measured and evaluated throughout gestation. Receiver operating curves (ROC) of the UA ratio between a dosage before and after the 20th week of gestation and the ROC of proteinuria were analyzed and compared. For ROC of UA, a ratio of ≥1.5 was considered as a positive predictive value.Results: We analyzed 480 normal pregnancies and 315 pathological pregnancies (40 preeclampsia, 23 gestational hypertension, 31 basal hypertension, 140 diabetes, 71 premature birth or premature rupture of membranes, 8 with intrauterine growth retardation and 2 with Lupus). The ROC area for preeclamptic pregnancies was 0.872 (0.805-0.939) with positive and negative predictive values (PPV, NPV)) of 26% and 98.6%, respectively. In all cases, urea and creatinine showed normal values, confirming that patients had no renal compromise. The ROC area with positive proteinuria was 0.823 (0.724-0.922) with PPV: 17.5% and NPV:98.5%When both determinations were included the ROC area was 0.871 (0.802-0.940) with PPV:13.3 and NPV:99.3.Conclusion: UA has a slightly better performance and a higher NPV than proteinuria. Therefore, we suggest that a combination of the UA and proteinuria can be helpful to achieve a better prediction of preeclampsia.