CLINICAL EFFICACY AND PREDICTORS OF RESPONSE TO DULAGLUTIDE IN TYPE-2 DIABETES.

C. C. Berra, V Resi,M. Mirani,L. Folini,A. Rossi,S. B. Solerte,P. Fiorina

Pharmacological Research（2020）

IRCCS MultiMed | Fdn IRCCS Ca Granda | Humanitas Res Hosp | Luigi Sacco Hosp | Univ Pavia

Cited 17|Views28

Abstract

Aim of this retrospective multicenter observational study was to evaluate the efficacy and safety of the glucagon-like peptide-1 receptor agonist (GLP-1 RA) dulaglutide in a type-2 diabetic real-world population and to determine the factors predicting the response in terms of glycated haemoglobin (HbA1c) and other relevant clinical outcomes. Data for efficacy outcomes, adverse events and drug discontinuation were collected from records of patients with type-2 diabetes treated with once-a-week 1.5 mg of dulaglutide for 12 months in routine clinical practice. Initial analysis included 782 patients and 626 had complete follow-up at 6- and 12-months. There was a significant reduction of HbA1c at 6 months (-1 ± 0.8 %, p < 0.0001), which remained stable at 12-months follow-up (-1 ± 0.9 %, p < 0.0001). The percentage of subjects with HbA1c≤7.0 % increased significantly from 7.2 % at baseline to 52.7 % at 6 months to 55.8 % at 12 months. Predictors of the achievement of HbA1c≤7.0 % were low baseline HbA1c and short duration of diabetes. The reduction of HbA1c was associated with reductions of BMI, waist circumference, fasting plasma glucose and blood pressures. Neither sex nor age had significant effects on any clinical or laboratory outcome. The effects of dulaglutide on HbA1c, BMI and SBP tended to be greater in patients who shifted from dipeptidyl peptidase-IV inhibitors (-0.8 ± 0.8 %) than other GLP-1 RA, even if an improvement of HbA1c reduction (-0.5 %) was also seen in those shifting from other GLP-1 RA. This study confirms that addition of dulaglutide 1.5 mg once a week in real word settings has beneficial effects on both clinical and laboratory outcomes in patients with uncontrolled type-2 diabetes. Dulaglutide has a greater effect on HbA1c in patients with higher baseline values and helps achieve a target HbA1c≤7.0 %, more consistently in patients with lower baseline HbA1c and shorter diabetes duration.

Translated text

Key words

Diabetes treatment,Glucagon-Like peptide-1 receptor agonist,Glycated haemoglobin,Body weight

Bibtex

AI Read Science

AI Summary

AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.

Example

Background

Key content

Introduction

Methods

Results

Related work

Fund

Key content

Pretraining has recently greatly promoted the development of natural language processing (NLP)
We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance

Try using models to generate summary,it takes about 60s

Must-Reading Tree

Example

Generate MRT to find the research sequence of this paper