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Guo X, Yu Y, Zhang Y, Sun L, Li Y, Song B, Hang L, Baba M, Wasaki Y, Kikumori K, Murayama E. A Phase 3, Multicenter, Randomized, Double-Blind, Placebo-Controlled 14-Week Study of Mirogabalin in Chinese Patients with Diabetic Peripheral Neuropathic Pain. Pain Ther 2024; 13:937-952. [PMID: 38896199 PMCID: PMC11255142 DOI: 10.1007/s40122-024-00617-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Accepted: 05/17/2024] [Indexed: 06/21/2024] Open
Abstract
INTRODUCTION There is no approved effective drug for diabetic peripheral neuropathic pain (DPNP) in China. Gabapentinoids including mirogabalin have shown promise, although data in Chinese patients are scarce. METHODS This phase 3, multicenter, randomized, double-blind, placebo-controlled trial investigated the efficacy and safety of mirogabalin for treating DPNP in China. Mirogabalin was administered at 5 mg twice daily for the first week and uptitrated to 15 mg twice daily for a total duration of 14 weeks. The primary efficacy endpoint was the change from baseline in weekly average daily pain score (ADPS) at week 14; secondary endpoints included the ADPS responder rate, Short-Form McGill Pain Questionnaire visual analogue scale score, patient global impression of change (PGIC), average daily sleep interference score (ADSIS), EuroQol 5-dimensions 5-levels (EQ-5D-5L), and incidence of treatment-emergent adverse events (TEAEs). RESULTS Of 393 patients (mirogabalin, n = 196; placebo n = 197), the mean age was 58.2 years (mirogabalin, 58.7 years; placebo, 57.7 years) and 54.2% were male (mirogabalin, 56.1%; placebo, 52.3%). Mirogabalin elicited a greater change from baseline in the weekly ADPS vs. placebo at week 14: least-squares mean difference (95% confidence interval) vs. placebo - 0.39 (- 0.74, - 0.04), p = 0.0301. PGIC, ADSIS, and EQ-5D-5L data reflected significantly better improvements for patients receiving mirogabalin vs. placebo. The incidence of TEAEs was 75.0% and 75.1% in the mirogabalin and placebo groups, respectively. Most TEAEs were mild or moderate, and the incidence of TEAEs leading to treatment discontinuation was 2.6% in the mirogabalin group and 1.5% in the placebo group. CONCLUSIONS Although the effect size of mirogabalin was reduced due to the placebo effect, mirogabalin is a safe and effective treatment option for Chinese patients with DPNP. TRIAL REGISTRATION ClinicalTrials.gov identifier, NCT04094662.
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Affiliation(s)
- Xiaohui Guo
- Department of Endocrinology, Peking University First Hospital, No. 8 Xishiku Street, Xicheng District, Beijing, 100034, China.
| | - Yang Yu
- Department of Endocrinology, Peking University First Hospital, No. 8 Xishiku Street, Xicheng District, Beijing, 100034, China
| | - Yongbo Zhang
- Department of Neurology, Beijing Friendship Hospital, Capital Medical University, No. 95 Yongan Road, Beijing, 100050, China
| | - Li Sun
- Siping Central People's Hospital, No. 89 South Yingbin Street, Tiexie District, Siping, 136000, Jilin Province, China
| | - Yufeng Li
- Beijing Pinggu Hospital, No. 59 Xingping North Road, Pinggu District, Beijing, 101200, China
| | - Bing Song
- The First Affiliated Hospital of Jinzhou Medical University, Guta District, No. 2, 5H Part, Renmin Street, Liaoning Province 121001, Jinzhou City, China
| | - Li Hang
- Daiichi Sankyo (China) Holdings Co., Ltd, Floor 51, Wheelock Square, 1717 Nanjing West Road, Shanghai, 200040, China
| | - Masayuki Baba
- Neurology Center, Aomori Prefectural Central Hospital, 2-1-1 Higashitsukurimichi, Aomori, 030-8553, Japan
| | - Yosuke Wasaki
- Asset Portfolio Management Department, Daiichi Sankyo Co., Ltd., 1-2-58 Hiromachi, Shinagawa, Tokyo, 140-8710, Japan
| | - Kunika Kikumori
- Data Intelligence Department, Daiichi Sankyo Co., Ltd., 1-2-58 Hiromachi, Shinagawa, Tokyo, 140-8710, Japan
| | - Emiko Murayama
- Specialty Medicine Clinical Development Department, Daiichi Sankyo Co., Ltd., 1-2-58 Hiromachi, Shinagawa, Tokyo, 140-8710, Japan
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Shi R, Niu Z, Wu B, Hu F. Study on the Risk Factors for Hyperuricaemia and Related Vascular Complications in Patients with Type 2 Diabetes Mellitus. Risk Manag Healthc Policy 2020; 13:1661-1675. [PMID: 33061700 PMCID: PMC7518772 DOI: 10.2147/rmhp.s255042] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2020] [Accepted: 08/17/2020] [Indexed: 12/28/2022] Open
Abstract
Purpose The study aimed to identify diseases that exhibit significant differences between hyperuricaemia (HUA) and non-hyperuricaemia (NHUA) groups and analyse the risk factors for HUA based on the related diseases in type 2 diabetes mellitus (T2DM). Methods A total of 3264 T2DM patients were investigated from 2013 to 2017 in the Jinyang and Sanlin communities by obtaining basic data from the electronic medical record system (EMRS). From September 2018 to July 2019, 3000 patients (264 patients were missing during follow-up) were investigated with questionnaires, physical examinations and biochemical index tests. After removing missing values, 2899 patients were divided into HUA and NHUA groups. The chi-square test was used to identify diseases with differences. Using Lasso analysis and logistic regression analysis, risk factors for HUA based on the related diseases were obtained. The C-index, receiver operating characteristic (ROC) curve and calibration plot were used to validate the discrimination and accuracy of the factors. Results The chi-square test showed that there were significant differences in coronary heart disease (CHD) and diabetic nephropathy (DN) between the HUA group and the NHUA group. Through Lasso regression, glycosylated haemoglobin A1c (HbA1c), triglyceride (TG), blood urea nitrogen (BUN) and serum creatinine (SCR) were screened in the CHD group. Body mass index (BMI), HbA1c, total cholesterol (TC), TG, BUN, SCR and urine microalbumin (UMA) were screened in the DN group. The P-value of all the variables was less than 0.05. Through the C-index, calibration, and ROC curve analyses, these risk factors had medium accuracy. Conclusion HUA was significantly related to CHD and DN. The level of UA was correlated with HbA1c, TG, BUN, and SCR based on CHD. The level of UA was associated with BMI, HbA1c, TC, TG, BUN, SCR, and UMA based on DN.
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Affiliation(s)
- Rong Shi
- School of Public Health, Shanghai University of Traditional Chinese Medicine, Shanghai, People's Republic of China
| | - Zheyun Niu
- School of Public Health, Shanghai University of Traditional Chinese Medicine, Shanghai, People's Republic of China
| | - Birong Wu
- School of Public Health, Shanghai University of Traditional Chinese Medicine, Shanghai, People's Republic of China
| | - Fan Hu
- School of Public Health, Shanghai University of Traditional Chinese Medicine, Shanghai, People's Republic of China
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Hu F, Zhang T. Study on Risk Factors of Diabetic Nephropathy in Obese Patients with Type 2 Diabetes Mellitus. Int J Gen Med 2020; 13:351-360. [PMID: 32753935 PMCID: PMC7352450 DOI: 10.2147/ijgm.s255858] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2020] [Accepted: 06/21/2020] [Indexed: 01/13/2023] Open
Abstract
PURPOSE The purpose of this study was to identify diabetic nephropathy risk factors in type 2 diabetes mellitus obese people based on community type 2 diabetes mellitus patients. PATIENTS AND METHODS In the community in Shanghai, we conduct a questionnaire, physical examination, and biochemical examination. The 406 patients included in the analysis were divided into two groups based on whether or not they had diabetic nephropathy. The influencing factors of type 2 diabetes mellitus obese patients were screened by the least absolute shrinkage and selection operator method, and then the influencing factors detected by the least absolute shrinkage and selection operator method were included in the binary logistic regression analysis, and the risk factors for diabetic nephropathy in obese people with type 2 diabetes mellitus were obtained. Finally, the nomogram and forest plot are used to visualize the binary logistic regression results, and the calibration plot and receiver-operating characteristic curve are used to verify the result. RESULTS The results showed that family history of diabetes (OR= 2.091, P= 0.002), disease course (OR=1.050, P= 0.007). hypertension (OR=1.768, P=0.042), hyperuricemia (OR=2.263, P=0.003), systolic blood pressure (OR=1.027, P<0.001), and glycosylated haemoglobin A1c (OR=1.358, P<0.001) were risk factors for diabetic nephropathy. CONCLUSION For obese patients with type 2 diabetes mellitus, they should pay attention to family history of diabetes, disease course and hyperuricemia. Hypertension should be concerned and strictly controlled. Systolic blood pressure and glycosylated haemoglobin A1c will help prolong the survival of diabetic nephropathy patients.
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Affiliation(s)
- Fan Hu
- School of Public Health, Shanghai University of Traditional Chinese Medicine, Shanghai, People’s Republic of China
| | - Taotao Zhang
- School of Public Health, Shanghai University of Traditional Chinese Medicine, Shanghai, People’s Republic of China
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