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Zhou Zheng Department of Medical Laboratory, The Affiliated Luohu Hospital of Shenzhen University, Shenzhen University, Shenzhen, Guangdong, China

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Xiuming Zhang Department of Medical Laboratory, The Affiliated Luohu Hospital of Shenzhen University, Shenzhen University, Shenzhen, Guangdong, China

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Fanggui Wu Department of Reproductive Medicine, The Affiliated Luohu Hospital of Shenzhen University, Shenzhen University, Shenzhen, Guangdong, China

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Haizhen Liao Department of Reproductive Medicine, The Affiliated Luohu Hospital of Shenzhen University, Shenzhen University, Shenzhen, Guangdong, China

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Huan Zhao Department of Reproductive Medicine, The Affiliated Luohu Hospital of Shenzhen University, Shenzhen University, Shenzhen, Guangdong, China

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Minqi Zhang Department of Reproductive Medicine, The Affiliated Luohu Hospital of Shenzhen University, Shenzhen University, Shenzhen, Guangdong, China

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Shangjie Liu Department of Reproductive Medicine, The Affiliated Luohu Hospital of Shenzhen University, Shenzhen University, Shenzhen, Guangdong, China

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Although several studies have reported that high maternal BMI could influence the cumulative live birth rate (CLBR) in fresh embryo transfer cycles, the association of BMI with CLBR remains unclear in patients that completed IVF treatment. In this study, we examined the association of maternal BMI with CLBR, including repetitive one oocyte pick-up (OPU) and all fresh and frozen embryo transfer until live birth or embryos were run out. A total of 16,126 patients’ data were included in the analysis and were divided into four groups based on BMI. We found that patients’ characteristics, embryo parameters, and pregnancy outcomes differed among different BMI groups. Multivariate logistic regression showed that being underweight was associated with a higher possibility of having live birth than the reference group (OR (95% CI) 1.40 (1.22–1.59), P < 0.001), whereas being overweight and obese were associated with a lower possibility of having live birth than the reference group ((OR (95% CI) 0.81 (0.74–0.90), P < 0.001) and (OR (95% CI) 0.68 (0.55–0.85), P < 0.001)). After adjustment for confounding factors, the reference group was associated with a higher possibility of having live birth, with a significant difference found between the obese and reference groups (OR (95% CI) 0.55 (0.43–0.70), P < 0.001). An association was found between CLBR and BMI, indicating that an increase in BMI results in a decline in CLBR. Moreover, the CLBR of patients with different characteristics differed in the various BMI groups. Taken together, our data show that maternal BMI has a significant impact on CLBR.

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Yutong Zou Division of Nephrology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, Sichuan, China

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Lijun Zhao Division of Nephrology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, Sichuan, China

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Junlin Zhang Division of Nephrology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, Sichuan, China

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Yiting Wang Division of Nephrology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, Sichuan, China

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Yucheng Wu Division of Nephrology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, Sichuan, China

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Honghong Ren Division of Nephrology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, Sichuan, China

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Tingli Wang Division of Nephrology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, Sichuan, China

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Rui Zhang Division of Nephrology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, Sichuan, China

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Jiali Wang Division of Nephrology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, Sichuan, China

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Yuancheng Zhao Division of Nephrology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, Sichuan, China

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Chunmei Qin Division of Nephrology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, Sichuan, China

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Huan Xu Division of Pathology, West China Hospital of Sichuan University, Chengdu, Sichuan, China

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Lin Li Division of Pathology, West China Hospital of Sichuan University, Chengdu, Sichuan, China

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Zhonglin Chai Department of Diabetes, Central Clinical School, Monash University, Melbourne, Australia

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Mark E Cooper Department of Diabetes, Central Clinical School, Monash University, Melbourne, Australia

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Nanwei Tong Division of Endocrinology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, Sichuan, China

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Fang Liu Division of Nephrology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, Sichuan, China

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Objective

To investigate the relationship between serum uric acid (SUA) level and renal outcome in patients with type 2 diabetes mellitus (T2DM) and diabetic nephropathy (DN).

Methods

A total of 393 Chinese patients with T2DM and biopsy-proven DN and followed at least 1 year were enrolled in this study. Patients were stratified by the quartiles of baseline level of SUA: Q1 group: 286.02 ± 46.66 μmol/L (n = 98); Q2 group: 358.23 ± 14.03 μmol/L (n = 99); Q3 group: 405.50 ± 14.59 μmol/L (n = 98) and Q4 group: 499.14 ± 56.97μmol/L (n = 98). Renal outcome was defined by progression to end-stage renal disease (ESRD). Kaplan–Meier survival analysis and Cox proportional hazards model were used to analyze the association between SUA quartiles and the renal outcomes.

Results

During the median 3-year follow-up period, there were 173 ESRD outcome events (44.02%). No significant difference between SUA level and the risk of progression of DN (P = 0.747) was shown in the Kaplan–Meier survival analysis. In multivariable-adjusted model, hazard ratios for developing ESRD were 1.364 (0.621–2.992; P = 0.439), 1.518 (0.768–3.002; P = 0.230) and 1.411 (0.706–2.821; P = 0.330) for the Q2, Q3 and Q4, respectively, in comparison with the Q1 (P = 0.652).

Conclusions

No significant association between SUA level and renal outcome of ESRD in Chinese patients with T2DM and DN was found in our study. Besides, the role of uric acid-lowering therapy in delaying DN progression and improving ESRD outcome had not yet been proven. Further study was needed to clarify the renal benefit of the uric acid-lowering therapy in the treatment of DN.

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