Pettus Jeremy, Roussel Ronan, Liz Zhou Fang, Bosnyak Zsolt, Westerbacka Jukka, Berria Rachele, Jimenez Javier, Eliasson Björn, Hramiak Irene, Bailey Timothy, Meneghini Luigi
School of Medicine, University of California, San Diego, CA, USA.
Inserm U1138, Centre de Recherche Des Cordeliers, Paris, France.
Diabetes Ther. 2019 Apr;10(2):617-633. doi: 10.1007/s13300-019-0568-8. Epub 2019 Feb 14.
The LIGHTNING study applied conventional and advanced analytic approaches to model, predict, and compare hypoglycemia rates of people with type 2 diabetes (T2DM) on insulin glargine 300 U/ml (Gla-300) with those on first-generation (insulin glargine 100 U/ml [Gla-100]; insulin detemir [IDet]) or second-generation (insulin degludec [IDeg]) basal-insulin (BI) analogs, utilizing a large real-world database.
Data were collected between 1 January 2007 and 31 March 2017 from the Optum Humedica US electronic health records [EHR] database. Patient-treatments, the period during which a patient used a specific BI, were analyzed for patients who switched from a prior BI or those who newly initiated BI therapy. Data were analyzed using two approaches: propensity score matching (PSM) and a predictive modeling approach using machine learning.
A total of 831,456 patients with T2DM receiving BI were included from the EHR data set. Following selection, 198,198 patient-treatments were available for predictive modeling. The analysis showed that rates of severe hypoglycemia (using a modified definition) were approximately 50% lower with Gla-300 than with Gla-100 or IDet in insulin-naïve individuals, and 30% lower versus IDet in BI switchers (all p < 0.05). Similar rates of severe hypoglycemia were predicted for Gla-300 and IDeg, regardless of prior insulin experience. Similar results to those observed in the overall cohorts were seen in analyses across subgroups at a particularly high risk of hypoglycemia. PSM (performed on 157,573 patient-treatments) revealed comparable reductions in HbA with Gla-300 versus first- and second-generation BI analogs, alongside lower rates of severe hypoglycemia with Gla-300 versus first-generation BI analogs (p < 0.05) and similar rates versus IDeg in insulin-naïve and BI-switcher cohorts.
Based on real-world data, predicted rates of severe hypoglycemia with Gla-300 tended to be lower versus first-generation BI analogs and similar versus IDeg in a wide spectrum of patients with T2DM.
Sanofi, Paris, France.
LIGHTNING研究应用传统和先进的分析方法,利用一个大型真实世界数据库,对使用300 U/ml甘精胰岛素(Gla-300)的2型糖尿病(T2DM)患者的低血糖发生率进行建模、预测并与使用第一代(100 U/ml甘精胰岛素[Gla-100];地特胰岛素[IDet])或第二代(德谷胰岛素[IDeg])基础胰岛素(BI)类似物的患者进行比较。
数据收集自2007年1月1日至2017年3月31日的Optum Humedica美国电子健康记录(EHR)数据库。对从先前的BI转换或新开始BI治疗的患者的患者治疗情况(即患者使用特定BI的时间段)进行分析。数据采用两种方法进行分析:倾向评分匹配(PSM)和使用机器学习的预测建模方法。
EHR数据集中共纳入了831,456例接受BI治疗的T2DM患者。筛选后,有198,198个患者治疗情况可用于预测建模。分析表明,在初治胰岛素的个体中,Gla-300导致的严重低血糖发生率(采用改良定义)比Gla-100或IDet低约50%,在BI转换者中比IDet低30%(所有p<0.05)。无论先前的胰岛素使用经验如何,Gla-300和IDeg预测的严重低血糖发生率相似。在低血糖风险特别高的亚组分析中,观察到与总体队列相似的结果。PSM(对157,573个患者治疗情况进行)显示,与第一代和第二代BI类似物相比,Gla-300使糖化血红蛋白(HbA)降低程度相当,与第一代BI类似物相比,Gla-300导致的严重低血糖发生率更低(p<0.05),在初治胰岛素和BI转换者队列中与IDeg发生率相似。
基于真实世界数据,在广泛的T2DM患者中,Gla-300预测的严重低血糖发生率与第一代BI类似物相比往往更低,与IDeg相似。
法国巴黎赛诺菲公司。