First-Trimester Uterine Artery Doppler Analysis in the Prediction of Later Pregnancy Complications

Table 2

Detection rate (DR) of early preeclampsia at a 10% false positive rate using various multiparametric predictive models (i.e., those including maternal characteristics, uterine artery Doppler, and biochemical markers).

Predictive model	Parameters	DR%
Parra-Cordero [52]	BMI, smoking, lowest UtA-PI, and PlGF	47
Odibo [53]	HTN, mean UtA-PI, PAPP-A, and PP-13	68
Poon [54]	Maternal history, UtA-PI, and PAPP-A	71.9
Scazzocchio [55]	Ethnicity, BMI, parity, previous PE, age, HTN, renal disease, MAP, and mean UtA-PI	81
Poon [36]	Ethnicity, BMI, parity, previous PE, age, HTN, DM, thrombophilia, smoking, MAP, and lowest UtA-PI	89
Crovetto [56]	Maternal characteristics, MAP, UtA-PI, and sFlt-1	91.2
Poon [57]	Maternal characteristics, lowest UtA-PI, MAP, and PlGF	92.3
Poon [38]	Maternal factors, UtA-PI, MAP, PAPP-A, and PlGF	93.1^*
Poon [58]	Ethnicity, BMI, parity, previous PE, age, HTN, DM, thrombophilia, smoking, MAP, lowest UtA-PI, and PAPP-A	95
Akolekar [59]	Maternal factors, MAP, UtA-PI, PAPP-A, PlGF, PP13, sEng, inhibin-A, activin-A, PTX3, and P-selectin	95.2
Akolekar [60]	UtA-PI, MAP, PAPP-A, and PlGF	96.3

^*This study reported detection rates at a 5% false positive rate.