基于人工智能模型量化视网膜血管特征参数预测子痫前期的可行性研究

周天凡, 邵飞雪, 万盛, 周晨晨, 周思锦, 花晓琳

Feasibility study on quantifying retinal vascular features for predicting preeclampsia based on artificial intelligence models

ZHOU Tianfan, SHAO Feixue, WAN Sheng, ZHOU Chenchen, ZHOU Sijin, HUA Xiaolin

表1 孕妇的临床资料和新生儿结局资料的比较

Tab 1 Comparison of clinical data of pregnant women and neonatal outcome data

Characteristic	Unaffected group (n=685)	HDP group (n=104)				P^c value
Characteristic	Unaffected group (n=685)	GH group (n=36)	P^a value	PE group (n=68)	P^b value	P^c value
Age/year	31.00 (29.00, 34.00)	32.00 (30.00, 34.00)	0.307	32.00 (29.00, 35.00)	0.153	0.234
Pre-pregnancy BMI/(kg·m^-2)	22.43 (20.32, 25.15)	22.72 (21.04, 27.29)	0.194	23.87 (20.77, 26.66)	0.013	0.025
Previous PE history/n(%)	5 (0.73)	1 (2.78)	0.265	0 (0)	1.000	0.317
Primiparity/n(%)	493 (71.97)	29 (80.56)	0.339	54 (79.41)	0.203	0.270
ART/n(%)	51 (7.45)	2 (5.56)	1.000	12 (17.65)	0.009	0.021
CH/n(%)	14 (2.04)	1 (2.78)	0.540	8 (11.76)	0.000	0.000
Renal disease/n(%)	3 (0.44)	0 (0)	1.000	2 (2.94)	0.067	0.080
AD/n(%)	29 (4.23)	2 (5.56)	0.664	5 (7.35)	0.222	0.318
PGDM/n(%)	4 (0.58)	1 (2.78)	0.227	3 (4.41)	0.019	0.016
GDM/n(%)	76 (11.09)	7 (19.44)	0.173	9 (13.24)	0.550	0.252
PCOS/n(%)	10 (1.46)	1 (2.78)	0.443	0 (0)	0.612	0.436
Second-trimester MAP/mmHg	82.67 (76.33, 88.33)	88.17 (85.67, 96.33)	0.000	91.33 (84.67, 95.33)	0.000	0.000
Second-trimester EFW/g	1 445.89 (1 320.37, 1 566.41)	1 443.56 (1 341.89, 1 583.57)	0.604	1 347.73 (1 218.09, 1 511.01)	0.003	0.009
Delivery method/n(%)			0.167		0.000	0.000
Spontaneous delivery	393 (57.37)	16 (44.44)		20 (29.41)
Caesarean section	292 (42.63)	20 (55.56)		48 (70.59)
Gestational weeks/week	39.43 (38.57, 40.14)	39.00 (38.29, 39.71)	0.028	37.64 (36.04, 39.00)	0.000	0.000
PPH/n(%)	19 (2.77)	1 (2.78)	1.000	4 (5.88)	0.146	0.283
Postpartum hospitalization days/n(%)	3.00 (3.00, 4.00)	4.00 (3.00, 5.00)	0.001	6.00 (5.00, 7.00)	0.000	0.000
Fetal birth weight/g	3 380.00 (3 115.00, 3 670.00)	3 407.50 (3 135.00, 3 655.00)	0.725	3 005.00 (2 446.25, 3 292.50)	0.000	0.000
1 min Apgar score/score	9.00 (9.00, 10.00)	9.00 (9.00, 10.00)	0.964	9.00 (9.00, 9.00)	0.000	0.000
5 min Apgar score/score	10.00 (10.00, 10.00)	10.0 (10.00, 10.00)	0.029	10.00 (9.00, 10.00)	0.000	0.000