Using simple clinical measures to predict insulin resistance or hyperglycemia in girls with polycystic ovarian syndrome.
Using simple clinical measures to predict insulin resistance or hyperglycemia in girls with polycystic ovarian syndrome.
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DOI:
10.1111/pedi.12778
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发表时间:
2018-12
影响因子:
3.4
通讯作者:
Nadeau KJ
中科院分区:
文献类型:
--
作者:
Cree-Green M;Cai N;Thurston JE;Coe GV;Newnes L;Garcia-Reyes Y;Baumgartner AD;Pyle L;Nadeau KJ
Polycystic ovarian syndrome (PCOS) includes insulin resistance (IR) and impaired glucose tolerance (IGT) in youth, and a greatly elevated risk of type 2 diabetes in adulthood. Identifying IR is challenging and documenting IGT requires an oral glucose tolerance test (OGTT). Objective: Identify an easily applied surrogate measures for IR and IGT in girls with PCOS. We studied 28 girls with PCOS [BMI percentile 98 (83,99); 15.5 (14.5,16.6) years of age] and 20 with normal menses [BMI percentile (97 (88,99); 15.5 (13.3,16.1) years]. Hyperinsulinemic-euglycemic clamps (insulin dose of 80 μU/ml/min) to determine glucose infusion rate (GIR) and a 75 gram OGTT were performed. Surrogates for IR including fasting insulin, HOMA-IR, Matsuda index and eIS were compared to IGT status and GIR. Spearman correlations were performed between surrogates and GIR or IGT, and receiver operator curve (ROC) analysis to predict GIR below the median or IGT status. GIR was lower in PCOS (12.9±4.6 vs. 17.1±5.1 mg/kg fat free mass·min; p=0.01). Within PCOS, HOMA-IR (r=−0.78, p<0.0001), e-IS (r=0.70, p<0.001), and Matsuda (r=0.533, p<0.001) correlated with GIR. e-IS provided a good sensitivity (100%) and specificity (71%) to identify IR (e-IS cutoff: <6.3, ROC-area under curve=0.898). Fasting insulin >22 IU/ml had the best sensitivity (88%), specificity (78%) and ROC (0.760) for IGT status. Girls with PCOS have significant IR, and IGT is common. Both eIS and fasting insulin are obtainable without an OGTT or clamp and could be used clinically to guide treatment in PCOS.
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影响因子:
8.2
作者:
Dabelea D;D'Agostino RB Jr;Mason CC;West N;Hamman RF;Mayer-Davis EJ;Maahs D;Klingensmith G;Knowler WC;Nadeau K
通讯作者:
Nadeau K
影响因子:
5.8
作者:
Legro, RS;Finegood, D;Dunaif, A
通讯作者:
Dunaif, A
影响因子:
5.8
作者:
Lorenzo, Carlos;Haffner, Steven M.;Laakso, Markku
通讯作者:
Laakso, Markku
影响因子:
5.8
作者:
Nadeau, Kristen J.;Zeitler, Phillip S.;Regensteiner, Judith G.
通讯作者:
Regensteiner, Judith G.
影响因子:
3
作者:
Bjornstad P;Truong U;Pyle L;Dorosz JL;Cree-Green M;Baumgartner A;Coe G;Regensteiner JG;Reusch JE;Nadeau KJ
通讯作者:
Nadeau KJ