Effects and Safety of Diabetic GUideline Algorithm Implementation Performed by Primary Care Physicians in the Community

Trial statusRecruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age65+
SponsorShanghai Zhongshan Hospital

About this trial

The Effects and Safety of Diabetic GUideline Algorithm Implementation in the Community (GUARD-Community) study is a 2-arm, cluster-randomized control trial to evaluate the effect and safety of guideline algorithm intervention performed by primary care physicians on cardiovascular and renal outcomes in elderly patients with high risk in community.

Eligibility criteria

This trial does not accept healthy volunteers

Qualifiers

①Males or females aged 65 and above (≥65) receive treatment from the local community health service center;

A. Typical symptoms of diabetes + random blood sugar ≥ 11.1mmol/L;

B. Fasting blood glucose (FPG) ≥ 7.0mmol/L (fasting blood glucose is defined as no caloric intake within 8 hours);

C. Oral glucose tolerance test 2h blood glucose (OGTT) ≥ 11.1mmol/L (2h after meal);

Disqualifiers

①Pregnant women or women planning to become pregnant;

②eGFR<30 mL/min/1.73m2 (CKD-EPI formula);

③Patient cannot be followed up for 36 months (due to health condition or migration);

④Unwilling or unable to sign the informed consent;

Trial design

Design model

Parallel

Treatments tested in this trial

  • Intensive guideline algorithm implementation

    Other intervention

    Diabetes guideline pharmacological algorithm will be implemented by primary care physicians in community. In brief, SGLT2i or GLP-1RA will be recommended to control blood glucose in priority when subjects at very high/high CV risk and meet the target HbA1C\<7%, control blood pressure \<130/80mmHg, LDL-c\<1.8mmol/L at very high CV risk patients or \<2.6mmol/L at high CV risk patients, and antiplatelet as secondary prevention of ASCVD.

  • Conventional guideline algorithm implementation

    Other intervention

    The guideline intervention is based the guidance which the local physicians followed through self learning and education. The management of diabetes paitients will be decided by local physicians.

Treatment groups

5,600 Participants
are divided into 2 treatment groups
Group A: Intensive guideline algorithm implementationExperimental treatment 1 intervention
Group B: Conventional guideline algorithm implementationActive comparator 1 intervention

Trial outcomes

Primary outcomes

1

Primary Outcome of Phase 1: Comprehensive management effect of various cardiovascular risk factors in T2D,meeting control targets for a combination of A1c, BP, LDL-C.

The proportion of participants with HbA1C\<7.0%, blood pressure\< 130/80 mm Hg,LDL-c\<1.8mmol/L at very high CV risk or \<2.6mmol/L at high CV risk.

Time frame
18 months since randomization
2

Primary Outcome of Phase 2: Composite of 3P MACE and hospitalization for heart failure.

Time to occurrence of cardiovascular and cerebrovascular death, non-fatal myocardial infarction, non-fatal Stroke, hospitalization for heart failure.

Time frame
3 years since randomization

Secondary outcomes

1

Secondary Outcome of Phase 1: Glycemic control rate

The proportion of participants with tight glucose control, targeting HbA1c \<7.0%

Time frame
18 months since randomization
2

Secondary Outcome of Phase 1: Mean HbA1C changes

Mean HbA1C changes of participants

Time frame
18 months since randomization
3

Secondary Outcome of Phase 1: Mean systolic and diastolic pressure changes

Mean systolic and diastolic pressure changes of participants

Time frame
18 months since randomization
4

Secondary Outcome of Phase 1: Mean LDL-c changes

Mean LDL-c changes of participants

Time frame
18 months since randomization

Other outcomes

1

Health Economics Indicators

Cost-effectiveness analysis: quantification of Incremental Cost Ratio Life Cycle (ICER) and Quality Adjusted Years (QALYs)

Time frame
3 years since randomization
2

Changes in cardiovascular risk indicators

Framingham score

Time frame
3 years since randomization
3

Serology and urine testing

Biomarkers associated with diagnosis or prognosis: using "omics" screening.

Time frame
3 years since randomization
4

Genomics testing

Gene polymorphism testing for drug response or prognosis: using genome-wide association study(GWAS) screening.

Time frame
3 years since randomization

Sponsors and contacts

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