Dept of General Medicine, Aacharya Vinoba Bhave Rural Hospital, DMIHER, Sawangi , Wardha, Maharashtra
Wardha MAHARASHTRA 442001 India
Phone
9502824380
Fax
Email
grreddy836@gmail.com
Source of Monetary or Material Support
Datta Meghe Institute of Higher Education and Research , Sawangi, Wardha, Maharashtra ,442001
Primary Sponsor
Name
Datta Meghe Institute of Higher Education and Research
Address
Datta Meghe Institute of Higher Education and Research ,Sawangi, Wardha, Maharashtra ,442001
Type of Sponsor
Private medical college
Details of Secondary Sponsor
Name
Address
NIL
NIL
Countries of Recruitment
India
Sites of Study
No of Sites = 1
Name of Principal
Investigator
Name of Site
Site Address
Phone/Fax/Email
Gankidi Raghavender
Department of General Medicine, Third floor ,Medical Ward
Datta Meghe Institute of Higher Education and Research ,Sawangi, Wardha, Maharashtra ,442001, Sawangi (Meghe), Wardha- 442107, Maharashtra, India Wardha MAHARASHTRA
9502824380
grreddy836@gmail.com
Details of Ethics Committee
No of Ethics Committees= 1
Name of Committee
Approval Status
Institutional Ethics Commitee .Datta Meghe Institute of Higher Education and Research
Approved
Regulatory Clearance Status from DCGI
Status
Not Applicable
Health Condition / Problems Studied
Health Type
Condition
Patients
(1) ICD-10 Condition: I708||Atherosclerosis of other arteries,
Intervention / Comparator Agent
Type
Name
Details
Inclusion Criteria
Age From
18.00 Year(s)
Age To
80.00 Year(s)
Gender
Both
Details
1.Patients aged 18 years and above.
2. Diagnosed cases of Type 2 Diabetes Mellitus for at least 1 year.
3.Patients providing informed consent for participation
ExclusionCriteria
Details
1.Severe Comorbidities: Patients with end-stage renal disease (ESRD), advanced heart failure (NYHA Class III/IV), or active malignancy.
2.Severe Uncontrolled Hypertension: Patients with BP >180/110 mmHg despite medication.
3.Pregnancy: Pregnant or lactating women.
Method of Generating Random Sequence
Computer generated randomization
Method of Concealment
On-site computer system
Blinding/Masking
Participant, Investigator and Outcome Assessor Blinded
Primary Outcome
Outcome
TimePoints
Prevalence of Carotid Artery Disease: The percentage of T2DM patients in the rural setting diagnosed with CAD.
Identification of Risk Factors: How various risk factors (age, duration of diabetes, hypertension, dyslipidemia, smoking, etc.) contribute to the development of CAD in T2DM patients.
Association Between Glycemic Control and CAD: How well-controlled or poorly controlled diabetes affects the incidence or severity of CAD in this cohort.
Diagnostic Findings: The use of non-invasive screening methods (e.g., carotid ultrasonography, Doppler studies) to detect early signs of CAD.
Baseline (Enrollment) Time Point (Day 0):
Objective: To collect initial data on participants before any interventions.
Assessments:
Medical history (age, duration of T2DM, comorbid conditions such as hypertension, dyslipidemia, etc.).
Initial carotid artery screening (e.g., ultrasound or Doppler studies).
Measurement of glycemic control (HbA1c), blood pressure, and lipid profiles.
Smoking status, BMI, and other relevant demographic information.
Follow-up 1 (3-6 Months Post-Baseline):
Objective: To monitor early changes in the carotid arteries and update diabetes management.
Assessments:
Repeat carotid artery screening (e.g., measurement of carotid intima-media thickness, plaque formation).
Re-assessment of HbA1c levels, blood pressure, and lipid profiles.
Update on treatment adherence (medications, lifestyle modifications).
Follow-up 2 (12 Months Post-Baseline):
Objective: To evaluate the medium-term effects of screening and disease progression.
Assessments:
Carotid artery screening (check for plaque progression or new plaque formation).
Monitoring of cardiovascular events (e.g., transient ischemic attacks, strokes).
Monitoring of metabolic parameters (HbA1c, blood pressure, lipids).
End of Study (12-18 Months Post-Baseline):
Objective: To assess the final outcomes and progression of CAD in the study cohort.
Assessments:
Final carotid artery screening.
Final review of diabetes management and other comorbid conditions.
Documentation of any major clinical events (e.g., stroke, TIA, cardiovascular events).
Secondary Outcome
Outcome
TimePoints
Percentage of patients with carotid artery stenosis of varying severities (mild, moderate, severe) based on Doppler ultrasound findings.
Correlation of carotid artery stenosis with clinical parameters like age, gender, BMI, blood pressure, HbA1c levels, lipid profile, duration of T2DM, and smoking history
Number of patients referred for further evaluation or treatment (e.g., carotid endarterectomy, lifestyle modifications, or medical therapy) based on screening findings.
Incidence of major adverse cardiovascular events (MACE), such as stroke or myocardial infarction, during the follow-up period in screened versus non-screened patients.
Economic evaluation of the screening program in terms of cost per patient diagnosed with significant carotid artery disease.
Baseline (Time of Enrollment) Record patient demographics, clinical history, physical examination findings, and laboratory results (e.g., HbA1c, lipid profile).
Perform carotid Doppler ultrasound to assess carotid artery stenosis.
3-Month Follow-Up:
Assess adherence to any recommended treatments (e.g., lifestyle changes, medication for dyslipidemia).
Record any changes in clinical parameters (e.g., blood pressure, glycemic control).
6-Month Follow-Up:
Reassess clinical and laboratory parameters.
Document any cardiovascular events (stroke, TIA, etc.) during this period.
Reassess carotid artery status (if indicated) using Doppler ultrasound.
Target Sample Size
Total Sample Size="151" Sample Size from India="151" Final Enrollment numbers achieved (Total)= "Applicable only for Completed/Terminated trials" Final Enrollment numbers achieved (India)="Applicable only for Completed/Terminated trials"
Phase of Trial
N/A
Date of First Enrollment (India)
01/04/2025
Date of Study Completion (India)
Applicable only for Completed/Terminated trials
Date of First Enrollment (Global)
Date Missing
Date of Study Completion (Global)
Applicable only for Completed/Terminated trials
Estimated Duration of Trial
Years="1" Months="6" Days="0"
Recruitment Status of Trial (Global)
Not Yet Recruiting
Recruitment Status of Trial (India)
Not Yet Recruiting
Publication Details
N/A
Individual Participant Data (IPD) Sharing Statement
Will individual participant data (IPD) be shared publicly (including data dictionaries)?
Response - YES
What data in particular will be shared? Response - All of the individual participant data collected during the trial, after de-identification.
What additional supporting information will be shared? Response - Study Protocol Response - Statistical Analysis Plan Response - Informed Consent Form Response - Clinical Study Report Response - Analytic Code Response - None of the above
Who will be able to view these files? Response - Researchers whose proposed use of the data has been approved by an independent review committee identified for this purpose.
For what types of analyses will this data be available? Response - Any purpose.
By what mechanism will data be made available? Response - Proposals should be directed to [grreddy836@gmail.com].
For how long will this data be available start date provided 24-01-2025 and end date provided 24-01-2027? Response - Immediately following publication. No end date.
Any URL or additional information regarding plan/policy for sharing IPD? Additional Information - NIL
Brief Summary
“Screening
Patients with Type 2 Diabetes Mellitus for Carotid Artery Disease in a Rural
Tertiary Care Hospital”
1. Title of the Study
Screening the Patients of Type 2 Diabetes Mellitus for
Carotid Artery Disease: A Study from a Rural Tertiary Care Hospital
2. Introduction
Type 2 Diabetes Mellitus (T2DM) is a well-recognized risk
factor for cardiovascular diseases, including carotid artery disease (CAD).
CAD, characterized by atherosclerotic plaque formation in the carotid arteries,
significantly increases the risk of stroke. Rural populations are often
underserved in healthcare, leading to late detection and management of such
conditions. Early detection of CAD in T2DM patients can aid in timely
interventions, reducing the burden of complications and improving outcomes. This
study aims to screen T2DM patients for CAD and assess its prevalence in a rural
tertiary care setting, where resources are limited, and healthcare access is a
challenge.
3. Background and Significance
Cardiovascular diseases are the leading cause of mortality
worldwide, and their burden is disproportionately high in patients with T2DM.
Studies have shown that individuals with diabetes have a two- to fourfold
increased risk of developing atherosclerosis, which can lead to carotid artery
disease. CAD is a major contributor to stroke, one of the most devastating
complications of diabetes, often resulting in significant morbidity and
mortality.
The rural population faces unique healthcare challenges,
including limited access to specialized diagnostic tools, inadequate healthcare
infrastructure, and lower awareness of preventive measures. These factors
contribute to delayed diagnosis and treatment of conditions such as CAD.
Moreover, rural patients often have a higher prevalence of uncontrolled
diabetes and associated comorbidities due to poor healthcare access and
socioeconomic constraints.
Carotid Doppler ultrasonography is a non-invasive, reliable,
and cost-effective diagnostic tool for detecting CAD. However, its utilization
in rural healthcare settings remains limited due to a lack of resources and
trained personnel. By conducting this study, we aim to bridge this gap by
identifying the prevalence and risk factors of CAD in T2DM patients and
demonstrating the feasibility of integrating routine CAD screening into
existing healthcare practices in rural areas. This effort aligns with global health
priorities to reduce the burden of non-communicable diseases and improve
healthcare equity.
4. Literature Review
Several studies have highlighted the interplay between Type
2 Diabetes Mellitus and carotid artery disease. Research has consistently
demonstrated that chronic hyperglycaemia accelerates the process of
atherosclerosis by promoting endothelial dysfunction, oxidative stress, and
inflammation. A study by Gonzalez et al. (2018) reported that T2DM
patients are 1.5 times more likely to develop carotid plaques compared to
non-diabetic individuals. Additionally, increased intimal-medial thickness
(IMT), an early marker of atherosclerosis, is frequently observed in diabetic
populations, particularly among those with poor glycaemic control.
Regional studies focusing on rural populations have revealed
alarming trends of undiagnosed and unmanaged CAD in T2DM patients. For
instance, Kumar et al. (2020) demonstrated a prevalence of 35% for
subclinical carotid atherosclerosis among diabetic patients in resource-limited
settings. However, despite this evidence, routine screening for CAD remains
underutilized in rural areas due to economic and infrastructural constraints.
The significance of early detection and intervention is
underscored by the findings of Patel et al. (2019), which showed that
early management of carotid atherosclerosis in diabetic patients led to a 20%
reduction in stroke incidence over a five-year period. These findings emphasize
the urgent need for systematic screening protocols tailored to rural healthcare
contexts.
3. Objectives
Primary
Objective: To determine the prevalence of carotid artery disease in
patients with Type 2 Diabetes Mellitus attending a rural tertiary care
hospital.
Secondary
Objectives:
To
assess the association between clinical and demographic factors (e.g.,
age, gender, duration of diabetes, HbA1c levels) and the presence of CAD.
To
evaluate the utility of non-invasive screening tools, such as carotid
Doppler ultrasonography, in detecting CAD.
To
identify potential barriers to CAD screening and propose strategies to
overcome them in resource-limited settings.
6. Hypothesis
Primary Hypothesis: The prevalence of carotid artery disease
(CAD) in Type 2 Diabetes Mellitus (T2DM) patients in rural settings is
significantly higher than in the general population and is associated with poor
glycemic control and other modifiable cardiovascular risk factors.
Secondary Hypothesis: Routine non-invasive screening, such
as carotid Doppler ultrasonography, can effectively identify subclinical CAD in
T2DM patients, facilitating timely interventions and reducing complications in
resource-limited rural settings.
7. Preliminary Studies
Preliminary studies conducted at the rural tertiary care
hospital indicate a high prevalence of uncontrolled diabetes among patients
attending the outpatient clinic. A retrospective review of medical records over
the past two years revealed that approximately 40% of T2DM patients had
evidence of cardiovascular complications, including hypertension and
dyslipidemia. While specific data on carotid artery disease prevalence was not
available, anecdotal evidence from clinicians suggests that a significant proportion
of patients presenting with cerebrovascular events have underlying diabetes and
atherosclerosis.
Additionally, a pilot study involving 50 T2DM patients
screened using carotid Doppler ultrasonography found that 28% had increased
intimal-medial thickness (IMT), while 12% had plaques causing more than 50%
stenosis. These findings underscore the need for systematic screening and early
intervention strategies to address the burden of CAD in this population. The
current study builds on these findings by employing a larger sample size and
more robust methodology to provide comprehensive data on the prevalence and
risk factors of CAD in rural T2DM patients.
4. Methodology
4.1 Study Design
A cross-sectional, observational study.
4.2 Study Setting
The study will be conducted in the outpatient and inpatient
departments of a rural tertiary care hospital that primarily caters to
underserved populations. The hospital’s geographical location, demographic
details, and the proportion of diabetic patients attending the facility will be
described in detail in the study.
4.3 Study Population
Patients diagnosed with Type 2 Diabetes Mellitus attending
the outpatient or inpatient departments of the hospital. The study will aim to
include a diverse group of patients from varying socio-economic backgrounds and
levels of healthcare access.
4.4 Inclusion Criteria
Patients
aged 18 years and above.
Diagnosed
cases of Type 2 Diabetes Mellitus for at least 1 year.
Patients
providing informed consent for participation.
4.5 Exclusion Criteria
Patients
with known carotid artery disease.
History
of cerebrovascular accidents or transient ischemic attacks.
Patients
with significant renal dysfunction (eGFR < 30 mL/min/1.73 m²).
Pregnant
or lactating women.
Patients
unable to undergo carotid Doppler ultrasonography due to medical or
logistical reasons.
4.6 Sample Size Calculation
SAMPLE SIZE: 151
FORMULA USED:
Z = 1.96
P =11% = 0.11
d= 5% = 0.05
n = 1.962
*0.11*(1-0.11)
0.052
n= 150.43
= 151 Patients needed in study.
4.7 Sampling Technique
Systematic random sampling will be used to recruit eligible
patients. Every patient meeting the inclusion criteria will be included in the
study to minimize selection bias.
4.8 Study Duration
The study will be conducted over a period of 12 months. This
includes 9 months of patient recruitment and data collection, followed by 3
months of data analysis and reporting.
5. Data Collection
5.1 Patient Assessment
Detailed
clinical history, including:
Duration
of diabetes.
Smoking
history and alcohol use.
Family
history of cardiovascular diseases.
Presence
of comorbidities such as hypertension and dyslipidemia.
Anthropometric
measurements:
Height,
weight, body mass index (BMI), and waist-hip ratio.
Blood
pressure measurements:
Taken
using a calibrated sphygmomanometer; three readings will be averaged for
accuracy.
5.2 Laboratory Investigations
Fasting
and postprandial blood glucose levels.
Glycated
hemoglobin (HbA1c).
Lipid
profile, including total cholesterol, LDL, HDL, and triglycerides.
Renal
function tests, including serum creatinine and estimated glomerular
filtration rate (eGFR).
Inflammatory
markers, such as high-sensitivity C-reactive protein (hs-CRP), will be
considered if feasible.
5.3 Imaging Modalities
Carotid
Doppler ultrasonography will be performed by a trained radiologist to
assess:
Intimal-medial
thickness (IMT).
Presence
and severity of atherosclerotic plaques.
Degree
of stenosis.
Standardized
protocols will be followed to ensure reproducibility and reliability of
results.
6. Quality Control Measures
All
equipment used for anthropometric measurements and blood pressure
recording will be calibrated regularly.
Standard
operating procedures (SOPs) will be developed and followed for laboratory
tests and imaging techniques.
Training
sessions will be conducted for the research team to ensure uniform data
collection.
Inter-observer
variability in carotid Doppler ultrasonography will be minimized by
ensuring that all scans are performed by a single trained radiologist or
reviewed by a second radiologist for validation.
Periodic
internal audits will be conducted to monitor data accuracy and adherence
to the protocol.
7. Data Analysis
Descriptive
statistics will be used to summarize demographic and clinical data.
Prevalence
of CAD will be calculated with a 95% confidence interval.
Chi-square
tests, independent t-tests, and logistic regression analysis will be used
to determine associations between risk factors and CAD.
Subgroup
analysis will be conducted to assess differences based on gender, age
groups, and glycaemic control (HbA1c levels).
A
p-value < 0.05 will be considered statistically significant.
8. Follow-up Mechanisms for Positive Findings
Participants
found to have significant carotid artery disease will receive immediate
counselling on lifestyle modifications and medical management.
Referrals
will be made to cardiologists or neurologists for advanced care if
necessary.
A
structured follow-up schedule will be designed for these patients,
including:
Quarterly
assessments for glycemic control and cardiovascular risk factor
management.
Repeat
carotid Doppler ultrasonography after 6–12 months to monitor disease
progression.
Patient
navigators will be employed to ensure adherence to follow-up visits and
treatment plans.
9. Ethical Considerations
Approval
will be obtained from the Institutional Ethics Committee (IEC) before
commencing the study.
Written
informed consent will be obtained from all participants, with detailed
information on study procedures, risks, and benefits.
Confidentiality
of patient data will be strictly maintained, with access limited to the
research team.
Participants
found to have significant carotid artery disease will be counselled and
referred for appropriate management.
10. Expected Outcomes
Determination
of CAD prevalence in T2DM patients in a rural tertiary care setting.
Identification
of key demographic, clinical, and biochemical risk factors associated with
CAD.
Insights
into the feasibility of routine CAD screening in diabetic patients using
non-invasive methods in resource-limited settings.
Recommendations
for integrating CAD screening into routine diabetic care in rural
healthcare facilities.
11. Limitations
Single-center
study, limiting the generalizability of findings.
Potential
challenges in patient compliance and follow-up, particularly in rural
settings.
Variability
in operator performance for carotid Doppler ultrasonography.
12. Dissemination of Findings
The study results will be presented at national and
international conferences and published in peer-reviewed journals to contribute
to the body of knowledge on CAD screening in T2DM patients in rural healthcare
settings. Additionally, findings will be shared with local healthcare providers
and policymakers to promote the implementation of evidence-based screening
protocols.