Nomograms for incident risk of post-partum type 2 diabetes in Chinese women with prior gestational diabetes mellitus.
Nomograms for incident risk of post-partum type 2 diabetes in Chinese women with prior gestational diabetes mellitus.
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既往患有妊娠期糖尿病的中国女性产后 2 型糖尿病发生风险列线图
DOI:
10.1111/cen.13863
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发表时间:
2019-03
影响因子:
3.2
通讯作者:
Mi J
中科院分区:
文献类型:
--
作者:
Li W;Leng J;Liu H;Zhang S;Wang L;Hu G;Mi J
Counseling patients with gestational diabetes mellitus (GDM) on their individual risk of postpartum type 2 diabetes (T2D) is challenging. This study aimed to develop nomograms for predicting incident risk of postpartum T2D in women with GDM diagnosed by WHO1998 criteria. We performed a retrospective cohort study in 1,263 Chinese women with GDM, of whom 83 were diagnosed as T2D at 2.3 years postpartum. Multivariate Cox proportional hazards models were used to investigate the independent predictors for postpartum T2D. The results of multivariate analyses were used to formulate nomograms for predicting incident risk of postpartum T2D. The predictive accuracy was evaluated using the area under the receiver operating characteristic curve (AUROC). On multivariate analysis, independent predictors of postpartum T2DM in women with GDM included family history of diabetes [hazard ratio (HR) and its 95% confidential interval (95%CI): 2.06 (95%CI: 1.32–3.22)], history of pregnancy-induced hypertension [3.11 (95%CI: 1.86–5.21)], pre-pregnancy BMI [1.00, 1.90 (95%CI: 1.14–3.16), and 3.67 (95%CI: 2.03–6.63) for BMI <24, 24–28, and ≥28 kg/m2], and 2-hour glucose at 26–30 gestational weeks [1.00, 2.84 (95%CI: 1.42–5.69), and 9.42 (95%CI: 4.46–19.90) for 2 hour glucose at 7.8 ~ <8.5, 8.5 ~ <11.1, and ≥11.1 mmol/L). The overall AUROC of nomogram was 82.8% (95%CI: 78.1%−87.5%), with AUROCs of 85.9% (95%CI: 79.7%−92.1%) and 83.2% (95%CI: 77.9%−88.6%) for postpartum 2-year and 3-year risk of T2D, respectively. This easy-to-use nomogram, with noninvasive clinical characteristics, can accurately predict the risk of postpartum T2D in women with GDM. It may facilitate risk communication between patients and clinicians.
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影响因子:
16.8
作者:
Tilgner, Hagen;Nikolaou, Christoforos;Guigo, Roderic
通讯作者:
Guigo, Roderic
影响因子:
5.1
作者:
Hu, Gang;Tian, Huiguang;Tuomilehto, Jaakko
通讯作者:
Tuomilehto, Jaakko
影响因子:
5.1
作者:
Cho, N. H.;Shaw, J. E.;Malanda, B.
通讯作者:
Malanda, B.
影响因子:
8.2
作者:
Chien, K.;Cai, T.;Hu, F. B.
通讯作者:
Hu, F. B.
DOI:
10.1016/s1470-2045(14)71116-7
发表时间:
2015-04
期刊:
The Lancet. Oncology
影响因子:
--
作者:
Balachandran VP;Gonen M;Smith JJ;DeMatteo RP
通讯作者:
DeMatteo RP