NCT05047471

Brief Summary

This is a large-scale, multi-center, observational study. It is planned to establish a large database of 10,000 patients with type 2 diabetes mellitus to investigate the prevalence, awareness and screening rates of diabetes kidney disease (DKD), and provide real-world data on the efficacy and safety of sodium glucose cotransporter 2 inhibitors (SGLT2i) in patients with type 2 diabetes mellitus (T2DM).

Trial Health

43
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
10,000

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Dec 2021

Geographic Reach
1 country

50 active sites

Status
unknown

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

September 3, 2021

Completed
14 days until next milestone

First Posted

Study publicly available on registry

September 17, 2021

Completed
3 months until next milestone

Study Start

First participant enrolled

December 25, 2021

Completed
1.3 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

May 1, 2023

Completed
1 month until next milestone

Study Completion

Last participant's last visit for all outcomes

June 1, 2023

Completed
Last Updated

May 27, 2022

Status Verified

May 1, 2022

Enrollment Period

1.3 years

First QC Date

September 3, 2021

Last Update Submit

May 23, 2022

Conditions

Keywords

SGLT2 inhibitorsDiabetic Kidney DiseaseAlbuminuria

Outcome Measures

Primary Outcomes (13)

  • Prevalence of DKD

    Prevalence of DKD (UACR \> 30 mg/g); The prevalence of microalbuminuria (30 mg/g ≤ UACR ≤ 300 mg/g); The prevalence of massive proteinuria (UACR \> 300 mg/g).

    at the time of screening

  • Awareness rate

    Awareness rate=(The number of people who know their abnormal albuminuria)/(The number of people with diabetes mellitus complicated with albuminuria)

    at the time of screening

  • Screening rate

    Screening rate=(The number of people @who have checked urine protein within one year)/(The number of people involved in total diabetes)

    at the time of screening

  • Prescription proportion of various anti-diabetic drugs for patients with DKD

    Prescription ratio of a certain hypoglycemic agent =(The number of people using a certain hypoglycemic agent)/(Total number of DKD)

    at the time of screening

  • risk factors of albuminuria: medication categories

    Assess whether taking different categories of medications is a risk factor for albuminuria

    at the time of screening

  • risk factors of albuminuria: Course of disease

    It is defined as the years of diagnosis of diabetes. According to the "Date of Diagnosis" in the questionnaire collected during the screening, the course years of diabetes patients are divided into quartiles for evaluation

    at the time of screening

  • risk factors of albuminuria: Age

    According to the "date of birth" in the questionnaire collected during the screening, the age of diabetic patients is divided into quartiles for evaluation

    at the time of screening

  • risk factors of albuminuria: Current smoking

    According to the "Current smoking" in the questionnaire collected during the screening to evaluate whether smoking is the risk of albuminuria

    at the time of screening

  • risk factors of albuminuria: gender

    According to the "gender" in the questionnaire collected during the screening to evaluate whether gender is the risk of albuminuria

    at the time of screening

  • risk factors of albuminuria: Drinking

    According to the " Drinking " in the questionnaire collected during the screening to evaluate whether Drinking is the risk of albuminuria

    at the time of screening

  • risk factors of albuminuria: Glycosylated hemoglobin

    Baseline glycosylated hemoglobin is divided into quartiles for evaluation

    at baseline

  • risk factors of albuminuria: Hypertension

    It is defined as the adults' systolic blood pressure which is greater than or equal to 140mmHg and/or diastolic blood pressure which is greater than or equal to 90mmHg. "hypertension" and "non-hypertension" for evaluation

    at baseline

  • risk factors of albuminuria: Increase in Low density lipoprotein cholesterol (LDL-C)

    It is defined as more than 3.37mmol/L, "elevated" and "normal" for evaluation

    at baseline

Secondary Outcomes (2)

  • MD of the change of UACR

    at 6 months

  • OR of the incidence of the adverse events

    at 6 months

Other Outcomes (2)

  • MD of the Percentage change of HbA1c

    at 6 months

  • MD the Percentage change from baseline of other laboratory test parameters of interest

    at 6 months

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodProbability Sample
Study Population

Continuous screening of type 2 diabetic patients from the endocrinology outpatients of 50 hospitals across the country

You may qualify if:

  • It is known that patients with T2DM has a history of more than 12 months (the WHO1999 Standard) and is treated with at least one anti-diabetic agent.
  • Gender and age: men and women who are at least 18 years old with informed consent.
  • Patients are willing and able to provide written informed consent before participating in this study.

You may not qualify if:

  • Type 1 diabetes mellitus (DM)
  • Patients with severe ketosis, diabetic coma, severe infection or severe trauma
  • Perioperative patients
  • Patients with severe renal impairment and advanced nephropathy (eGFR \< 45 ml/min/1.73m2)
  • Renal transplant patients
  • Patients are participating in or have participated in any other clinical trials in the past 3 months
  • Any disease with a life expectancy of less than 2 years according to the clinical judgment of the investigator
  • Pregnant or lactating women
  • Patients judged by the investigator to be unsuitable for participating in the study.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (50)

Airport Area of Peking University Third Hospital

Beijing, China

Location

Beijing Haidian Hospital

Beijing, China

Location

Beijing Luhe Hospital, Capital Medical University

Beijing, China

Location

Peking University Third Hospital Yanqing Hospital

Beijing, China

Location

Peking University Third Hospital

Beijing, China

Location

Strategic Support Force Specialty Medical Center

Beijing, China

Location

The 3th Medical Center of Chinese PLA General Hospital

Beijing, China

Location

The 4th Medical Center of Chinese PLA General Hospital

Beijing, China

Location

The 5th Medical Center of Chinese PLA General Hospital

Beijing, China

Location

The 6th Medical Center of Chinese PLA General Hospital

Beijing, China

Location

The 7th Medical Center of Chinese PLA General Hospital

Beijing, China

Location

The 8th Medical Center of Chinese PLA General Hospital

Beijing, China

Location

The First Medical Center of Chinese PLA General Hospital

Beijing, China

Location

Guangdong Provincial People's Hospital

Guangzhou, China

Location

Guangzhou First People's Hospital

Guangzhou, China

Location

Guangzhou Red Cross Hospital

Guangzhou, China

Location

Nanfang Hospital, Southern Medical University

Guangzhou, China

Location

Sun Yat-sen Memorial Hospital, Sun Yat-sen University

Guangzhou, China

Location

Guiyang First People's Hospital

Guiyang, China

Location

Guiyang Second People's Hospital

Guiyang, China

Location

The Affiliated Hospital of Guizhou Medical University

Guiyang, China

Location

The Second Affiliated Hospital of Guizhou Medical University

Guiyang, China

Location

The First Affiliated Hospital of Anhui Medical University

Hefei, China

Location

NanjingNanjing Drum Tower Hospital( the Affiliated Hospital of Nanjing University Medical School)

Nanjin, China

Location

Nanjing First Hospital

Nanjing, China

Location

Nantong First People's Hospital

Nantong, China

Location

Qingdao Eighth People's Hospital

Qingdao, China

Location

Qingdao Third People's Hospital

Qingdao, China

Location

The Affiliated Hospital of Qingdao University

Qingdao, China

Location

People's Hospital of Rizhao

Rizhao, China

Location

Qingpu Branch of Zhongshan Hospital affiliated to Fudan University

Shanghai, China

Location

Shanghai Minhang District Central Hospital

Shanghai, China

Location

Shanghai Xuhui District Central Hospital

Shanghai, China

Location

Wusong Hospital, Zhongshan Hospital affiliated to Fudan University

Shanghai, China

Location

Zhongshan Hospital affiliated to Fudan University

Shanghai, China

Location

Second Affiliated Hospital of Soochow University

Suzhou, China

Location

The First Affiliated Hospital of Soochow University

Suzhou, China

Location

Taizhou Second People's Hospita

Taizhou, China

Location

Weihai Municipal Hospital

Weihai, China

Location

Renmin Hospital of Wuhan University

Wuhan, China

Location

The Central Hospital of Wuhan

Wuhan, China

Location

Tongji Hospital, Tongji Medical College Of HUST

Wuhan, China

Location

Wuhan No. 1 Hospital

Wuhan, China

Location

Wuhan No. 3 Hospital

Wuhan, China

Location

Wuhan No. 4 Hospital

Wuhan, China

Location

The Affiliated Hospital of Xuzhou Medical University

Xuzhou, China

Location

Yixing People's Hospital

Yixing, China

Location

Zhenjiang First People's Hospital

Zhenjiang, China

Location

The Affiliated Hospital of Zunyi Medical University

Zunyi, China

Location

Zunyi First People's Hospital

Zunyi, China

Location

Related Publications (15)

  • Wen CP, Chang CH, Tsai MK, Lee JH, Lu PJ, Tsai SP, Wen C, Chen CH, Kao CW, Tsao CK, Wu X. Diabetes with early kidney involvement may shorten life expectancy by 16 years. Kidney Int. 2017 Aug;92(2):388-396. doi: 10.1016/j.kint.2017.01.030. Epub 2017 Jun 1.

    PMID: 28577854BACKGROUND
  • Zinman B, Wanner C, Lachin JM, Fitchett D, Bluhmki E, Hantel S, Mattheus M, Devins T, Johansen OE, Woerle HJ, Broedl UC, Inzucchi SE; EMPA-REG OUTCOME Investigators. Empagliflozin, Cardiovascular Outcomes, and Mortality in Type 2 Diabetes. N Engl J Med. 2015 Nov 26;373(22):2117-28. doi: 10.1056/NEJMoa1504720. Epub 2015 Sep 17.

    PMID: 26378978BACKGROUND
  • Neal B, Perkovic V, Mahaffey KW, de Zeeuw D, Fulcher G, Erondu N, Shaw W, Law G, Desai M, Matthews DR; CANVAS Program Collaborative Group. Canagliflozin and Cardiovascular and Renal Events in Type 2 Diabetes. N Engl J Med. 2017 Aug 17;377(7):644-657. doi: 10.1056/NEJMoa1611925. Epub 2017 Jun 12.

    PMID: 28605608BACKGROUND
  • Wiviott SD, Raz I, Bonaca MP, Mosenzon O, Kato ET, Cahn A, Silverman MG, Zelniker TA, Kuder JF, Murphy SA, Bhatt DL, Leiter LA, McGuire DK, Wilding JPH, Ruff CT, Gause-Nilsson IAM, Fredriksson M, Johansson PA, Langkilde AM, Sabatine MS; DECLARE-TIMI 58 Investigators. Dapagliflozin and Cardiovascular Outcomes in Type 2 Diabetes. N Engl J Med. 2019 Jan 24;380(4):347-357. doi: 10.1056/NEJMoa1812389. Epub 2018 Nov 10.

    PMID: 30415602BACKGROUND
  • Perkovic V, Jardine MJ, Neal B, Bompoint S, Heerspink HJL, Charytan DM, Edwards R, Agarwal R, Bakris G, Bull S, Cannon CP, Capuano G, Chu PL, de Zeeuw D, Greene T, Levin A, Pollock C, Wheeler DC, Yavin Y, Zhang H, Zinman B, Meininger G, Brenner BM, Mahaffey KW; CREDENCE Trial Investigators. Canagliflozin and Renal Outcomes in Type 2 Diabetes and Nephropathy. N Engl J Med. 2019 Jun 13;380(24):2295-2306. doi: 10.1056/NEJMoa1811744. Epub 2019 Apr 14.

    PMID: 30990260BACKGROUND
  • Cannon CP, Pratley R, Dagogo-Jack S, Mancuso J, Huyck S, Masiukiewicz U, Charbonnel B, Frederich R, Gallo S, Cosentino F, Shih WJ, Gantz I, Terra SG, Cherney DZI, McGuire DK; VERTIS CV Investigators. Cardiovascular Outcomes with Ertugliflozin in Type 2 Diabetes. N Engl J Med. 2020 Oct 8;383(15):1425-1435. doi: 10.1056/NEJMoa2004967. Epub 2020 Sep 23.

    PMID: 32966714BACKGROUND
  • McMurray JJV, Solomon SD, Inzucchi SE, Kober L, Kosiborod MN, Martinez FA, Ponikowski P, Sabatine MS, Anand IS, Belohlavek J, Bohm M, Chiang CE, Chopra VK, de Boer RA, Desai AS, Diez M, Drozdz J, Dukat A, Ge J, Howlett JG, Katova T, Kitakaze M, Ljungman CEA, Merkely B, Nicolau JC, O'Meara E, Petrie MC, Vinh PN, Schou M, Tereshchenko S, Verma S, Held C, DeMets DL, Docherty KF, Jhund PS, Bengtsson O, Sjostrand M, Langkilde AM; DAPA-HF Trial Committees and Investigators. Dapagliflozin in Patients with Heart Failure and Reduced Ejection Fraction. N Engl J Med. 2019 Nov 21;381(21):1995-2008. doi: 10.1056/NEJMoa1911303. Epub 2019 Sep 19.

    PMID: 31535829BACKGROUND
  • Bailey CJ, Gross JL, Hennicken D, Iqbal N, Mansfield TA, List JF. Dapagliflozin add-on to metformin in type 2 diabetes inadequately controlled with metformin: a randomized, double-blind, placebo-controlled 102-week trial. BMC Med. 2013 Feb 20;11:43. doi: 10.1186/1741-7015-11-43.

    PMID: 23425012BACKGROUND
  • Strojek K, Yoon KH, Hruba V, Elze M, Langkilde AM, Parikh S. Effect of dapagliflozin in patients with type 2 diabetes who have inadequate glycaemic control with glimepiride: a randomized, 24-week, double-blind, placebo-controlled trial. Diabetes Obes Metab. 2011 Oct;13(10):928-38. doi: 10.1111/j.1463-1326.2011.01434.x.

    PMID: 21672123BACKGROUND
  • Guo K, Zhang L, Zhao F, Lu J, Pan P, Yu H, Bao Y, Chen H, Jia W. Prevalence of chronic kidney disease and associated factors in Chinese individuals with type 2 diabetes: Cross-sectional study. J Diabetes Complications. 2016 Jul;30(5):803-10. doi: 10.1016/j.jdiacomp.2016.03.020. Epub 2016 Mar 17.

    PMID: 27068269BACKGROUND
  • Shikata K, Kodera R, Utsunomiya K, Koya D, Nishimura R, Miyamoto S, Tajima N; JDCP study group. Prevalence of albuminuria and renal dysfunction, and related clinical factors in Japanese patients with diabetes: The Japan Diabetes Complication and its Prevention prospective study 5. J Diabetes Investig. 2020 Mar;11(2):325-332. doi: 10.1111/jdi.13116. Epub 2019 Sep 25.

    PMID: 31317670BACKGROUND
  • Mok KY, Chan PF, Lai LKP, Chow KL, Chao DVK. Prevalence of diabetic nephropathy among Chinese patients with type 2 diabetes mellitus and different categories of their estimated glomerular filtration rate based on the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation in primary care in Hong Kong: a cross-sectional study. J Diabetes Metab Disord. 2019 Nov 15;18(2):281-288. doi: 10.1007/s40200-018-00382-y. eCollection 2019 Dec.

    PMID: 31890652BACKGROUND
  • Jitraknatee J, Ruengorn C, Nochaiwong S. Prevalence and Risk Factors of Chronic Kidney Disease among Type 2 Diabetes Patients: A Cross-Sectional Study in Primary Care Practice. Sci Rep. 2020 Apr 10;10(1):6205. doi: 10.1038/s41598-020-63443-4.

    PMID: 32277150BACKGROUND
  • Pollock C, Stefansson B, Reyner D, Rossing P, Sjostrom CD, Wheeler DC, Langkilde AM, Heerspink HJL. Albuminuria-lowering effect of dapagliflozin alone and in combination with saxagliptin and effect of dapagliflozin and saxagliptin on glycaemic control in patients with type 2 diabetes and chronic kidney disease (DELIGHT): a randomised, double-blind, placebo-controlled trial. Lancet Diabetes Endocrinol. 2019 Jun;7(6):429-441. doi: 10.1016/S2213-8587(19)30086-5. Epub 2019 Apr 13.

    PMID: 30992195BACKGROUND
  • Shi L, Xue Y, Yu X, Wang Y, Hong T, Li X, Ma J, Zhu D, Mu Y. Prevalence and Risk Factors of Chronic Kidney Disease in Patients With Type 2 Diabetes in China: Cross-Sectional Study. JMIR Public Health Surveill. 2024 Aug 30;10:e54429. doi: 10.2196/54429.

Related Links

MeSH Terms

Conditions

Diabetic NephropathiesAlbuminuria

Condition Hierarchy (Ancestors)

Kidney DiseasesUrologic DiseasesFemale Urogenital DiseasesFemale Urogenital Diseases and Pregnancy ComplicationsUrogenital DiseasesMale Urogenital DiseasesDiabetes ComplicationsDiabetes MellitusEndocrine System DiseasesProteinuriaUrination DisordersUrological ManifestationsSigns and SymptomsPathological Conditions, Signs and Symptoms

Study Officials

  • Yimin Mu, MD

    The First Medical Center of Chinese PLA General Hospital

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
SPONSOR INVESTIGATOR
PI Title
Director of department

Study Record Dates

First Submitted

September 3, 2021

First Posted

September 17, 2021

Study Start

December 25, 2021

Primary Completion

May 1, 2023

Study Completion

June 1, 2023

Last Updated

May 27, 2022

Record last verified: 2022-05

Data Sharing

IPD Sharing
Will share

De-identified individual participant level data and measurements including tables, figures, and appendices or supplementary material that support the results presented in a manuscript will be shared 6 months after publication.

Time Frame
starting 6 months after publication
Access Criteria
Researches should send a proposal to muyiming@301hospital.com.cn. If the proposal is methodologically sound, feasible and approved by the principal investigator, data requestor could gain access after signing a data access agreement.
More information

Locations