Screening Diabetes Patients for NAFLD With Controlled Attenuation Parameter and Liver Stiffness Measurements
Screening Inpatients With Type 2 Diabetes for Nonalcoholic Fatty Liver Disease Using Controlled Attenuation Parameter and Liver Stiffness Measurements
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
- Patient recruitment: eligible patients in the department of endocrinology and department of gastroenterology are encouraged to participate in this study.
- Non-diabetic patients admitted to the department of gastroenterology for other gastroenterological diseases. If available, these patients' data will be collected as control groups. Each diabetic patient is matched with a non-diabetic patient by factors of age, gender and BMI.
- Hepatic steatosis and fibrosis are diagnosed via controlled attenuation parameter (CAP) and liver stiffness measurement by FibroScan ®, respectively. According to the meta-analysis of individual patient data published recently, the CAP in dB/m will be adjusted by deducting 10dB/m from the CAP value for NAFLD/NASH patients, 10dB/m for diabetes patients and deducting/adding 4.4dB/m for each unit of BMI above/below 25kg/m2 over the range of 20-30kg/m2.
- Regular laboratory tests are performed, including complete blood counts, liver function, renal function, coagulation function, glycosylated hemoglobin, lipid metabolism, urine albumin/creatinine ratio, 24-hour urine albumin.
- Anthropometric data consists of height, weight, body mass index (the weight in kilograms divided by the square of the height in meters) and waist circumference.
- The diabetic duration, diabetic complications, the grading of hypertension, and the history of anti-diabetic drugs are gathered from medical records.
- The data are collected via EpiData software. They are input into computer twice by a single researcher to avoid typing errors.
- Site monitoring and auditing: As a project for postgraduate thesis, this study is monitored and audited by the school of postgraduate. The research records will be checked in December, 2016, as a mid-term inspection
- Statistical analysis plan: data are summarized and presented using appropriate descriptive statistics. The normality of continuous variables is assessed by skewness statistic and graphically by normal probability plot. Patients characteristics between those with and without diabetes, and in diabetes group, between those with and without elevated CAP are compared using independent t test, Chi-square, or Fisher's exact tests as appropriate.
Study Type
Study Type
Enrollment (Actual)
Enrollment
Contacts and Locations
Study Locations
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Shanghai, China
- Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- ≥18 years
- type 2 diabetics
Exclusion Criteria:
- malignancy;
- severe cardiovascular complications;
- any history of chronic hepatitis (hepatitis B or C virus infection, autoimmune hepatitis, Wilson's disease, hemachromatosis);
- secondary causes of fatty liver ( glucocorticoids, amiodarone, tamoxifen);
- alcohol consuming (20grams per day for male, and 10 grams per day for female);
- any hints of type 1 diabetes ( ketoacidosis, ketonuria, using insulin within 1 year after diagnosis)
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
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Diabetes group
Patients in this group are recruited from both departments of endocrinology and gastroenterology.
The diagnosis of diabetes is confirmed by medical history, using anti-diabetic medicines or laboratory tests.
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Non-diabetes group
Patients in this group are recruited from department of gastroenterology.
The exclusion of diabetes is confirmed by medical history or laboratory tests.
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
|
controlled attenuation parameter; liver stiffness measure
Time Frame: one day
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one day
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Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: Zhengjie Xu, MD, Xinhua Hospital, Shanghai Jiaotong Univerisity School of Medicine
Publications and helpful links
General Publications
- Kwok R, Choi KC, Wong GL, Zhang Y, Chan HL, Luk AO, Shu SS, Chan AW, Yeung MW, Chan JC, Kong AP, Wong VW. Screening diabetic patients for non-alcoholic fatty liver disease with controlled attenuation parameter and liver stiffness measurements: a prospective cohort study. Gut. 2016 Aug;65(8):1359-68. doi: 10.1136/gutjnl-2015-309265. Epub 2015 Apr 14.
- Karlas T, Petroff D, Sasso M, Fan JG, Mi YQ, de Ledinghen V, Kumar M, Lupsor-Platon M, Han KH, Cardoso AC, Ferraioli G, Chan WK, Wong VW, Myers RP, Chayama K, Friedrich-Rust M, Beaugrand M, Shen F, Hiriart JB, Sarin SK, Badea R, Jung KS, Marcellin P, Filice C, Mahadeva S, Wong GL, Crotty P, Masaki K, Bojunga J, Bedossa P, Keim V, Wiegand J. Individual patient data meta-analysis of controlled attenuation parameter (CAP) technology for assessing steatosis. J Hepatol. 2017 May;66(5):1022-1030. doi: 10.1016/j.jhep.2016.12.022. Epub 2016 Dec 28.
Study record dates
Study Major Dates
Study Start
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- XH-16-045
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
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