Effectiveness of Dapagliflozin as Add-On to Metformin with or without Other Oral Antidiabetic Drugs in Type 2 Diabetes Mellitus: A Multicentre, Retrospective, Real-World Database Study.

IF 1.9 Q3 PHARMACOLOGY & PHARMACY
Drugs - Real World Outcomes Pub Date : 2024-03-01 Epub Date: 2023-10-28 DOI:10.1007/s40801-023-00398-8
Bipin Sethi, Rakesh Sahay, Mangesh Tiwaskar, Vijay Negalur, Rajnish Dhediya, Kumar Gaurav, Rahul Rathod, Bhavesh Kotak, Gauri Dhanaki, Snehal Shah
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引用次数: 0

Abstract

Background: Real-world Indian studies evaluating effectiveness of dapagliflozin as an add-on to other oral antidiabetic drugs (OAD) in patients with type 2 diabetes mellitus (DM) are scarce.

Methods: An electronic medical record (EMR)-based, retrospective, multicentre study was conducted to evaluate the effectiveness of dapagliflozin as add-on therapy in adult patients with inadequately controlled DM on metformin with or without other OAD. Baseline characteristics (visit 1: metformin or metformin plus OAD treatment for at least 30 days) and treatment-related outcomes (visit 2: follow-up) considered between 60 and 140 days after adding/switching dapagliflozin [glycated haemoglobin (HbA1c), body mass index (BMI), systolic blood pressure (SBP) and diastolic blood pressure (DBP)] were analysed.

Results: A total of 3616 patients were screened from 478 centres. Most patients had received dapagliflozin (D) + metformin (M) + at least one other OAD [D + M + OAD, n = 2907 (80.4%), 408 followed-up with HbA1c reported], while 709 patients (19.6%, 138 followed-up with HbA1c reported) received dapagliflozin + metformin (D + M). Treatment with dapagliflozin as an add-on therapy resulted in significant change in HbA1c (-1.1 ± 1.44%; p < 0.05 for HbA1c subgroup ≥ 7.5%; -1.6 ± 1.41%; p < 0.05 for HbA1c subgroup ≥ 8%) at visit 2 compared with visit 1. Significant change in body weight (-1.4 ± 3.31 kg; p < 0.05 for HbA1c subgroup ≥ 7.5%; - 1.5 ± 3.22 kg; p < 0.05 for HbA1c subgroup ≥ 8%) was observed at visit 2. Similarly, a significant change in BMI was noted for the HbA1c subgroup ≥ 7.5% (-1.0 ± 8.38 kg/m2). However, the change in BMI in the HbA1c subgroup ≥ 8% was noted to be -1.4 ± 10.4 kg/m2, which was not statistically significant (p = 0.08). In the overall study population, significant change in the SBP (-4.5 ± 14.9 mmHg; p < 0.05 for HbA1c subgroup ≥ 7.5%; -4.5 ± 15.1 mmHg; p < 0.0001 for HbA1c subgroup ≥ 8%) was observed at visit 2 compared with visit 1. On identical lines, significant change in DBP (-1.5 ± 8.94 mmHg; p < 0.05 for HbA1c subgroup ≥ 7.5%; -1.4 ± 8.91 mmHg; p < 0.05 for HbA1c subgroup ≥ 8%) was noted.

Conclusions: Dapagliflozin showed significant improvement in glycemic parameter, BMI and BP when added to metformin, with or without other OADs in a real-world scenario.

达格列嗪作为二甲双胍加用或不加其他口服抗糖尿病药物治疗2型糖尿病的疗效:一项多中心、回顾性、真实世界数据库研究。
背景:真实世界的印度研究很少评估达格列嗪作为其他口服抗糖尿病药物(OAD)的添加剂对2型糖尿病(DM)患者的有效性。方法:进行一项基于电子病历(EMR)的回顾性多中心研究,以评估达格列嗪作为二甲双胍联合或不联合其他OAD的成年糖尿病控制不足患者的附加治疗的有效性。分析了添加/切换达格列嗪[糖化血红蛋白(HbA1c)、体重指数(BMI)、收缩压(SBP)和舒张压(DBP)]后60至140天的基线特征(访视1:二甲双胍或二甲双胍加OAD治疗至少30天)和治疗相关结果(访视2:随访)。结果:共有3616名患者从478个中心接受筛查。大多数患者接受了达格列嗪(D)+二甲双胍(M)+至少一种其他OAD[D+M+OAD,n=2907(80.4%),408例随访HbA1c报告],而709例患者(19.6%,138例随访HbAlc报告)接受了达格列嗪+二甲双胍(D+M)。与第1次访视相比,第2次访视时达格列嗪作为附加治疗导致HbA1c显著变化(-1.1±1.44%;HbA1c亚组≥7.5%,p<0.05;-1.6±1.41%;HbA1c亚组≥8%,p<0.05)。访视2时观察到体重的显著变化(-1.4±3.31 kg;HbA1c亚组≥7.5%时p<0.05;-1.5±3.22 kg;HbAlc亚组≤8%时p<0.05)。同样,HbA1c亚组≥7.5%(-1.0±8.38 kg/m2)的BMI也发生了显著变化。然而,HbA1c亚组≥8%的BMI变化为-1.4±10.4 kg/m2,这在统计学上并不显著(p=0.08)。在整个研究人群中,与访视1相比,访视2观察到SBP的显著变化(-4.5±14.9 mmHg;HbA1c子组≥7.5%的p<0.05;-4.5±15.1 mmHg;糖化血红蛋白亚组≥8%的p<0.0001)。在同一条线上,DBP发生了显著变化(-1.5±8.94 mmHg;HbA1c亚组≥7.5%时p<0.05;HbA1c亚组≥8%时p<0.01)。结论:在现实世界中,与二甲双胍联合使用或不使用其他OAD时,达格列嗪在血糖参数、BMI和BP方面表现出显著改善。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Drugs - Real World Outcomes
Drugs - Real World Outcomes PHARMACOLOGY & PHARMACY-
CiteScore
3.60
自引率
5.00%
发文量
49
审稿时长
8 weeks
期刊介绍: Drugs - Real World Outcomes targets original research and definitive reviews regarding the use of real-world data to evaluate health outcomes and inform healthcare decision-making on drugs, devices and other interventions in clinical practice. The journal includes, but is not limited to, the following research areas: Using registries/databases/health records and other non-selected observational datasets to investigate: drug use and treatment outcomes prescription patterns drug safety signals adherence to treatment guidelines benefit : risk profiles comparative effectiveness economic analyses including cost-of-illness Data-driven research methodologies, including the capture, curation, search, sharing, analysis and interpretation of ‘big data’ Techniques and approaches to optimise real-world modelling.
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