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Rates of Hypoglycem...
Rates of Hypoglycemia Predicted in Patients with Type 2 Diabetes on Insulin Glargine 300 U/ml Versus First- and Second-Generation Basal Insulin Analogs: The Real-World LIGHTNING Study
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Pettus, J. (författare)
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Roussel, R. (författare)
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Zhou, F. L. (författare)
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visa fler...
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Bosnyak, Z. (författare)
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Westerbacka, J. (författare)
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Berria, R. (författare)
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Jimenez, J. (författare)
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- Eliasson, Björn, 1959 (författare)
- Gothenburg University,Göteborgs universitet,Institutionen för medicin,Institute of Medicine
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Hramiak, I. (författare)
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Bailey, T. (författare)
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Meneghini, L. (författare)
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visa färre...
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(creator_code:org_t)
- 2019-02-14
- 2019
- Engelska.
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Ingår i: Diabetes Therapy. - : Springer Science and Business Media LLC. - 1869-6953 .- 1869-6961. ; 10:2, s. 617-633
- Relaterad länk:
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https://link.springe...
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https://gup.ub.gu.se...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- IntroductionThe 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.MethodsData 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.ResultsA 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-naive 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(1c) 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-naive and BI-switcher cohorts.ConclusionsBased 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.FundingSanofi, Paris, France.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Endokrinologi och diabetes (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Endocrinology and Diabetes (hsv//eng)
Nyckelord
- Basal insulin
- Insulin degludec
- Insulin detemir
- Insulin glargine
- Machine learning
- Predictive
- economic outcomes
- glucose control
- degludec
- severity
- drugs
- risk
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
Hitta via bibliotek
Till lärosätets databas
- Av författaren/redakt...
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Pettus, J.
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Roussel, R.
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Zhou, F. L.
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Bosnyak, Z.
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Westerbacka, J.
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Berria, R.
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visa fler...
-
Jimenez, J.
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Eliasson, Björn, ...
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Hramiak, I.
-
Bailey, T.
-
Meneghini, L.
-
visa färre...
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- MEDICIN OCH HÄLSOVETENSKAP
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MEDICIN OCH HÄLS ...
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och Klinisk medicin
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och Endokrinologi oc ...
- Artiklar i publikationen
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Diabetes Therapy
- Av lärosätet
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Göteborgs universitet