Cardiovascular Risk FactorNCT07050407
Impact of Deferred Clinic Visits on Patients With Cardiovascular Comorbidities: A Prospective Cohort Study
An observational study of Cardiovascular Risk Factor, run by Chinese University of Hong Kong at 1 site in Hong Kong.
Trial summary
This is a prospective cohort study examining the effects of prolonged clinic visit on patient's cardiovascular (CV) risk factors control and whether it will increase the risk of adverse clinical events. Read more about this study
- Who is it for?
- Ages 19 years and older
- Conditions the study is for
- Cardiovascular Risk Factor
- How many people
- 458 participants
- Where
- 1 siteHong Kong
- Study dates
- 1 Apr 2020to 30 Jun 2024
- How long will I take part?
- 2 Years
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 19 years and older
- All sexes
- No healthy volunteers
- Adult, Older adult
Study population: Study participants will be recruited primarily form Medical Specialist Outpatient Clinics of the Prince of Wales Hospital, a tertiary regional teaching hospital in Hong Kong.
Who may be able to join
- Patients who attend outpatient clinics at the Prince of Wales Hospital
- Patients who are followed up at the clinics for at least 1 CV risk factors, namely diabetes, hypertension, dyslipidaemia, or history of vascular events including cerebrovascular accidence, ischemic heart disease or peripheral vascular disease.
Who cannot join
- New referrals to the outpatient clinics
- Unstable patients such as patients with recent hospitalization within 3 months to the interviewing date
- Patients with complex medical problems indicated by Charlson Comorbidity Index of equal or more than 5
- Patients whose active medical problems are not cardiovascular related
- Patient who are taking vitamin K antagonist
- Patients who defaulted their follow-up appointment with no new appointment on record.
Trial locations and contacts
1 site in 1 country.
About this study
This is a prospective cohort study examining the effects of prolonged clinic visit on patient's cardiovascular (CV) risk factors control and whether it will increase the risk of adverse clinical events. This study leveraged the clinic visit deferment arrangement implemented during the COVID-19 pandemic to examine the difference in CV risk factors between patients who deferred and a control group who attended their clinic visit as scheduled.
Read the detailed description
Introduction Hypertension, diabetes and dyslipidaemia are key cardiovascular risk factors (CVRF) that contribute to adverse cardiovascular events and increase the risk of premature deaths from cardiovascular causes(1-3). Effective management of these risk factors is crucial in reducing the incidence of adverse vascular events such as stroke or myocardial infarction. Currently recommendations suggest follow-up intervals of 3 to 12 months for stable patients, but these recommendations are mostly arbitrary (1, 3-5). The association between more frequent follow-ups and improved cardiovascular risk factor control remains unclear, with conflicting data on its effectiveness (6-10). Notably, no prospective studies have examined the feasibility and safety of extended follow-up intervals beyond 6 months in patients with these CV risk factors. The COVID-19 pandemic introduced a unique challenge, as concerns about person-to-person transmission led many patients to voluntarily defer their scheduled clinic visits. This study aims to prospectively assess the impact of extended follow-up intervals on disease management and risk factors control in patients with CVRF.
Method This single-centre, prospective cohort study compared CVRF control between patients who deferred their physical clinic visit and those who attended as scheduled. The study protocol was approved by the Jointed Chinese University of Hong Kong and North Territory East Cluster Clinical Research Ethic Committee. All patients provided written informed consent data collection. This study followed The Strengthening the Reporting of Observational studies in Epidemiology (STROBE) guidelines for cohort studies reporting.
Setting This study was conducted at the Medical Specialist Outpatient Clinics of the Prince of Wales Hospital, a tertiary regional teaching hospital in Hong Kong, from April 2020 to January 2022. This timeframe was selected to coincide with the implementation of the Drug Refilling Clinic Scheme during the COVID-19 pandemic, which allowed patients to voluntarily defer their scheduled clinic visits while receiving medications from their last prescription for their chronic conditions via postal delivery. Data was collected from clinical notes and the electronic health records.
Participants Patients were recruited if they have at least one of three CVRF: diabetes, hypertension, or dyslipidaemia. Patient newly diagnosed with these conditions were excluded. Additionally, unstable patients defined as those with a history of hospitalization or emergency department visit within the preceding three months, those with complex medical problems indicated by a Charlson Comorbidity Index (CCI)(11) of equal or greater than five, or those whose primary medical issues were unrelated to cardiovascular disease - were excluded. Patients who defaulted their subsequent follow-up appointments with no recorded clinic visit by the end of the study period were also excluded. The study flow is summarized in figure 1.
Patients who deferred their appointment were categorized into the 'deferred' group, while those who attended their appointment as scheduled were placed in the 'control' group. Patients in the deferred group received a prescription refill by post along with a new appointment date. They were instructed to seek medical attention if they experienced any health concerns between follow-up intervals. Routine Blood test including lipid profile, HbA1c and other standard assessments, were conducted at the time of their next clinic visit. Additionally, they were instructed to monitor and record their blood pressure and glucose level at home with these records reviewed during the new follow-up appointments. Patients in the control group followed the standard local practice of clinic visits at intervals of 3 to 6 months. These patients were randomly selected from the list of clinic attendees and screened for eligibility at a 2:1 ratio to the 'deferred' group. A 2:1 ratio was used as more patients attended their scheduled visits than deferring. Similar blood test was performed during each clinic visit, as in the deferred group.
Variables Information on medications, blood tests result, and office blood pressure readings were recorded during each clinic visits. The baseline for subject in the control group was established at the time of the scheduled clinic visit (time 0). Since only subjects in the control group attended the clinic, the baseline for subjects in the deferred group was derived from their last recorded clinic visit before recruitment. Data from two subsequent physical clinic visits were collected in both groups (time 1 and time 2). Two follow-up visits were used instead of one for both groups to allow the second clinic visit to serve as an internal control.
Outcome measures The primary outcome was uncontrolled CVRF, defined as the presence of any of the following: uncontrolled DM with HbA1c >7%, uncontrolled hypertension with office systolic blood pressure (SBP)>130mmHg and/or diastolic blood pressure (DBP) >80mmHg, or uncontrolled dyslipidaemia defined as low-density-lipoprotein (LDL) >1.8mmol/L. The primary safety outcomes are the composite endpoints of unscheduled hospitalization, hospitalization due to cardiovascular events, and/or major adverse cardiovascular events (MACE) which included acute coronary syndrome, myocardial infarction, ischemic stroke and death within the study period. The secondary endpoints are changes in HbA1c level, Low density lipid (LDL) level and office blood pressure reading from baseline (time 0) to time 1 and to time 2. In addition, a clinic satisfaction questionnaire (CSQ) was administered to a subset of patients, and satisfaction scores were compared between the two groups.
Sample Size and Statistical Method We based the sample size calculation on establishing non-inferiority of deferred group over control group. The prevalence of uncontrolled HbA1c, LDL and hypertension was estimated to be 60%, 30%, and 60% respectively (12-14). Assuming 80% of power and one-side α = 0.025, a sample size of 432 patients- with 288 patients in the control group and 144 patients in the deferred group - would be required to demonstrate non-inferiority in the deferred group, with inferior margin set at an absolute difference of 5% point.
Continuous variables will be reported using descriptive statistics i.e. mean, median, and standard deviation. Qualitative variable will be summarized in frequency and percentage. T-test or sign rank test will be used for comparison between continuous variables, and chi-square or Fisher's exact test will be used for comparison of categorical variables between groups.
Kaplan-Meier method will be used for primary safety outcomes analysis and estimate time-to-event distributions between the two arms. The log-rank test will be used for comparison. Time 0 was set as the baseline clinic visit in the control group, or last recorded clinic visit in the deferred group. Follow-up end date was set at the occurrence of primary safety outcomes or 1 year from time 2, whichever occurs earlier.
Univariate logistic regression will first be performed to identified individual variable associated with primary outcomes and primary safety outcomes. Those variables with significant association with the primary outcome (defined as a two-tailed p value <0.05) was entered into the Multivariate logistic regression analysis. The final multivariate model was then constructed by backward deletion of the least significant characteristic, until all remaining variables were significantly associated with the endpoint (p < 0.05). This final model will be then assessed in a separate validation cohort which by calculating the area under the receiver-operating-characteristic (ROC) curve (AUC). A perfect model will have an AUC =1, while a worthless model will have an AUC of 0.5. Statistic analysis was performed using STATA and R software.
- Conditions
- Cardiovascular Risk Factor
- Keywords
- medical out-patient visit, COVID-19 outbreak, CV risk factors control
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
| Study group | Role | What they receive |
|---|---|---|
| Deferred | Patients who deferred their appointment | |
| Control | patients who attended their appointment as scheduled |
What is being measured
The primary outcome is the main question the study is designed to answer.
uncontrolled CVRF
uncontrolled CVRF, defined as the presence of any of the following: uncontrolled DM with HbA1c >7%, uncontrolled hypertension with office systolic blood pressure (SBP)>130mmHg and/or diastolic blood pressure (DBP) >80mmHg, or uncontrolled dyslipidaemia defined as low-density-lipoprotein (LDL) >1.8mmol/L.
Measured: through study completion, an average of 1 year
Secondary outcomes (7)
unscheduled emergency service visit or hospitalization
unscheduled emergency service visit or hospitalization
Measured: through study completion, an average 2 years
major adverse cardiovascular events (MACE)
major adverse cardiovascular events (MACE) include unscheduled cardiovascular related emergency service visit or hospitalization, myocardial infarction, stroke, cardiovascular death.
Measured: through study completion, an average 2 years
all-cause death
all-cause death
Measured: through study completion, an average 2 years
HbA1c
percentage of glycated hemoglobin
Measured: through study completion, an average 2 years
blood pressure
office based systolic and diastolic blood pressure, measured in mmHg
Measured: through study completion, an average 2 years
low density lipoprotein
LDL, measured in mmol/l
Measured: through study completion, an average 2 years
patient satisfaction
patient satisfaction will be evaluated on a subset of patients using the Hospital Authority's Clinic Satisfaction Questionnaire (CSQ), a 10-item survey measuring overall patient experience on a 5-point Likert scale, and satisfaction scores were compared between the two groups.
Measured: baseline, 1 year
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted3 Jul 2025
- Study start1 Apr 2020
- Primary completion31 Jan 2022
- Study completion30 Jun 2024
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (7)Papers the sponsor has linked to this study.
- Other trials for Cardiovascular Risk FactorStudies of the same condition, open and under way.
- More trials run by Chinese University of Hong KongThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 458 participants (actual)
- Target duration
- 2 Years
Sponsor and investigators
- Lead sponsor
- Chinese University of Hong Kong
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, GuangMing Tan, Chinese University of Hong Kong
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07050407
- Sponsor's protocol ID
- 2020.159
- Other IDs
- CUHK-NTEC CREC
- Status last verified
- Jun 2025
- First submitted
- 5 Jun 2025
- Last updated
- 3 Jul 2025
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Undecided
Publications
Singh GM, Danaei G, Farzadfar F, Stevens GA, Woodward M, Wormser D, Kaptoge S, Whitlock G, Qiao Q, Lewington S, Di Angelantonio E, Vander Hoorn S, Lawes CM, Ali MK, Mozaffarian D, Ezzati M; Global Burden of Metabolic Risk Factors of Chronic Diseases Collaborating Group; Asia-Pacific Cohort Studies Collaboration (APCSC); Diabetes Epidemiology: Collaborative analysis of Diagnostic criteria in Europe (DECODE); Emerging Risk Factor Collaboration (ERFC); Prospective Studies Collaboration (PSC). The age-specific quantitative effects of metabolic risk factors on cardiovascular diseases and diabetes: a pooled analysis. PLoS One. 2013 Jul 30;8(7):e65174. doi: 10.1371/journal.pone.0065174. Print 2013.
PubMed 23935815Global Burden of Metabolic Risk Factors for Chronic Diseases Collaboration. Cardiovascular disease, chronic kidney disease, and diabetes mortality burden of cardiometabolic risk factors from 1980 to 2010: a comparative risk assessment. Lancet Diabetes Endocrinol. 2014 Aug;2(8):634-47. doi: 10.1016/S2213-8587(14)70102-0. Epub 2014 May 16.
PubMed 24842598Grundy SM, Stone NJ, Bailey AL, Beam C, Birtcher KK, Blumenthal RS, Braun LT, de Ferranti S, Faiella-Tommasino J, Forman DE, Goldberg R, Heidenreich PA, Hlatky MA, Jones DW, Lloyd-Jones D, Lopez-Pajares N, Ndumele CE, Orringer CE, Peralta CA, Saseen JJ, Smith SC Jr, Sperling L, Virani SS, Yeboah J. 2018 AHA/ACC/AACVPR/AAPA/ABC/ACPM/ADA/AGS/APhA/ASPC/NLA/PCNA Guideline on the Management of Blood Cholesterol: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation. 2019 Jun 18;139(25):e1082-e1143. doi: 10.1161/CIR.0000000000000625. Epub 2018 Nov 10.
PubMed 30586774Davies MJ, D'Alessio DA, Fradkin J, Kernan WN, Mathieu C, Mingrone G, Rossing P, Tsapas A, Wexler DJ, Buse JB. Management of Hyperglycemia in Type 2 Diabetes, 2018. A Consensus Report by the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD). Diabetes Care. 2018 Dec;41(12):2669-2701. doi: 10.2337/dci18-0033. Epub 2018 Oct 4.
PubMed 30291106Whelton PK, Carey RM, Aronow WS, Casey DE Jr, Collins KJ, Dennison Himmelfarb C, DePalma SM, Gidding S, Jamerson KA, Jones DW, MacLaughlin EJ, Muntner P, Ovbiagele B, Smith SC Jr, Spencer CC, Stafford RS, Taler SJ, Thomas RJ, Williams KA Sr, Williamson JD, Wright JT Jr. 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. J Am Coll Cardiol. 2018 May 15;71(19):e127-e248. doi: 10.1016/j.jacc.2017.11.006. Epub 2017 Nov 13. No abstract available.
PubMed 29146535Sherman L, Pelter MA, Deamer RL, Duan L, Batech M. Association between encounter frequency and time to blood pressure control among patients with newly diagnosed hypertension: a retrospective cohort study. J Clin Hypertens (Greenwich). 2018 Mar;20(3):429-437. doi: 10.1111/jch.13223. Epub 2018 Feb 16.
PubMed 29450983Morrison F, Shubina M, Turchin A. Encounter frequency and serum glucose level, blood pressure, and cholesterol level control in patients with diabetes mellitus. Arch Intern Med. 2011 Sep 26;171(17):1542-50. doi: 10.1001/archinternmed.2011.400.
PubMed 21949161
Study at a glance
From the registry record, last updated by the sponsor on 3 Jul 2025. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Impact of Deferred Clinic Visits on Patients With Cardiovascular Comorbidities: A Prospective Cohort Study
- ClinicalTrials.gov ID
- NCT07050407
- Acronym / sponsor ID
- 2020.159
- Conditions
- Cardiovascular Risk Factor
- Keywords
- medical out-patient visit, COVID-19 outbreak, CV risk factors control
- Study type
- Observational
- Recruitment status
- Completed
- Enrolment
- 458 participants (actual)
- Lead sponsor
- Chinese University of Hong KongUniversity, hospital or other
- Study start
- 1 Apr 2020 (actual)
- Primary completion
- 31 Jan 2022 (actual)
- Study completion
- 30 Jun 2024 (actual)
- First posted
- 3 Jul 2025 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
This is a prospective cohort study examining the effects of prolonged clinic visit on patient's cardiovascular (CV) risk factors control and whether it will increase the risk of adverse clinical events. This study leveraged the clinic visit deferment arrangement implemented during the COVID-19 pandemic to examine the difference in CV risk factors between patients who deferred and a control group who attended their clinic visit as scheduled.
Detailed description
Introduction Hypertension, diabetes and dyslipidaemia are key cardiovascular risk factors (CVRF) that contribute to adverse cardiovascular events and increase the risk of premature deaths from cardiovascular causes(1-3). Effective management of these risk factors is crucial in reducing the incidence of adverse vascular events such as stroke or myocardial infarction. Currently recommendations suggest follow-up intervals of 3 to 12 months for stable patients, but these recommendations are mostly arbitrary (1, 3-5). The association between more frequent follow-ups and improved cardiovascular risk factor control remains unclear, with conflicting data on its effectiveness (6-10). Notably, no prospective studies have examined the feasibility and safety of extended follow-up intervals beyond 6 months in patients with these CV risk factors. The COVID-19 pandemic introduced a unique challenge, as concerns about person-to-person transmission led many patients to voluntarily defer their scheduled clinic visits. This study aims to prospectively assess the impact of extended follow-up intervals on disease management and risk factors control in patients with CVRF.
Method This single-centre, prospective cohort study compared CVRF control between patients who deferred their physical clinic visit and those who attended as scheduled. The study protocol was approved by the Jointed Chinese University of Hong Kong and North Territory East Cluster Clinical Research Ethic Committee. All patients provided written informed consent data collection. This study followed The Strengthening the Reporting of Observational studies in Epidemiology (STROBE) guidelines for cohort studies reporting.
Setting This study was conducted at the Medical Specialist Outpatient Clinics of the Prince of Wales Hospital, a tertiary regional teaching hospital in Hong Kong, from April 2020 to January 2022. This timeframe was selected to coincide with the implementation of the Drug Refilling Clinic Scheme during the COVID-19 pandemic, which allowed patients to voluntarily defer their scheduled clinic visits while receiving medications from their last prescription for their chronic conditions via postal delivery. Data was collected from clinical notes and the electronic health records.
Participants Patients were recruited if they have at least one of three CVRF: diabetes, hypertension, or dyslipidaemia. Patient newly diagnosed with these conditions were excluded. Additionally, unstable patients defined as those with a history of hospitalization or emergency department visit within the preceding three months, those with complex medical problems indicated by a Charlson Comorbidity Index (CCI)(11) of equal or greater than five, or those whose primary medical issues were unrelated to cardiovascular disease - were excluded. Patients who defaulted their subsequent follow-up appointments with no recorded clinic visit by the end of the study period were also excluded. The study flow is summarized in figure 1.
Patients who deferred their appointment were categorized into the 'deferred' group, while those who attended their appointment as scheduled were placed in the 'control' group. Patients in the deferred group received a prescription refill by post along with a new appointment date. They were instructed to seek medical attention if they experienced any health concerns between follow-up intervals. Routine Blood test including lipid profile, HbA1c and other standard assessments, were conducted at the time of their next clinic visit. Additionally, they were instructed to monitor and record their blood pressure and glucose level at home with these records reviewed during the new follow-up appointments. Patients in the control group followed the standard local practice of clinic visits at intervals of 3 to 6 months. These patients were randomly selected from the list of clinic attendees and screened for eligibility at a 2:1 ratio to the 'deferred' group. A 2:1 ratio was used as more patients attended their scheduled visits than deferring. Similar blood test was performed during each clinic visit, as in the deferred group.
Variables Information on medications, blood tests result, and office blood pressure readings were recorded during each clinic visits. The baseline for subject in the control group was established at the time of the scheduled clinic visit (time 0). Since only subjects in the control group attended the clinic, the baseline for subjects in the deferred group was derived from their last recorded clinic visit before recruitment. Data from two subsequent physical clinic visits were collected in both groups (time 1 and time 2). Two follow-up visits were used instead of one for both groups to allow the second clinic visit to serve as an internal control.
Outcome measures The primary outcome was uncontrolled CVRF, defined as the presence of any of the following: uncontrolled DM with HbA1c >7%, uncontrolled hypertension with office systolic blood pressure (SBP)>130mmHg and/or diastolic blood pressure (DBP) >80mmHg, or uncontrolled dyslipidaemia defined as low-density-lipoprotein (LDL) >1.8mmol/L. The primary safety outcomes are the composite endpoints of unscheduled hospitalization, hospitalization due to cardiovascular events, and/or major adverse cardiovascular events (MACE) which included acute coronary syndrome, myocardial infarction, ischemic stroke and death within the study period. The secondary endpoints are changes in HbA1c level, Low density lipid (LDL) level and office blood pressure reading from baseline (time 0) to time 1 and to time 2. In addition, a clinic satisfaction questionnaire (CSQ) was administered to a subset of patients, and satisfaction scores were compared between the two groups.
Sample Size and Statistical Method We based the sample size calculation on establishing non-inferiority of deferred group over control group. The prevalence of uncontrolled HbA1c, LDL and hypertension was estimated to be 60%, 30%, and 60% respectively (12-14). Assuming 80% of power and one-side α = 0.025, a sample size of 432 patients- with 288 patients in the control group and 144 patients in the deferred group - would be required to demonstrate non-inferiority in the deferred group, with inferior margin set at an absolute difference of 5% point.
Continuous variables will be reported using descriptive statistics i.e. mean, median, and standard deviation. Qualitative variable will be summarized in frequency and percentage. T-test or sign rank test will be used for comparison between continuous variables, and chi-square or Fisher's exact test will be used for comparison of categorical variables between groups.
Kaplan-Meier method will be used for primary safety outcomes analysis and estimate time-to-event distributions between the two arms. The log-rank test will be used for comparison. Time 0 was set as the baseline clinic visit in the control group, or last recorded clinic visit in the deferred group. Follow-up end date was set at the occurrence of primary safety outcomes or 1 year from time 2, whichever occurs earlier.
Univariate logistic regression will first be performed to identified individual variable associated with primary outcomes and primary safety outcomes. Those variables with significant association with the primary outcome (defined as a two-tailed p value <0.05) was entered into the Multivariate logistic regression analysis. The final multivariate model was then constructed by backward deletion of the least significant characteristic, until all remaining variables were significantly associated with the endpoint (p < 0.05). This final model will be then assessed in a separate validation cohort which by calculating the area under the receiver-operating-characteristic (ROC) curve (AUC). A perfect model will have an AUC =1, while a worthless model will have an AUC of 0.5. Statistic analysis was performed using STATA and R software.
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
- Target follow-up
- 2 Years
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| Deferred | – | –Patients who deferred their appointment |
| Control | – | –patients who attended their appointment as scheduled |
Who may qualify
- Ages
- 19 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
- Study population
- Study participants will be recruited primarily form Medical Specialist Outpatient Clinics of the Prince of Wales Hospital, a tertiary regional teaching hospital in Hong Kong.
Key inclusion criteria (2 listed)
- Patients who attend outpatient clinics at the Prince of Wales Hospital
- Patients who are followed up at the clinics for at least 1 CV risk factors, namely diabetes, hypertension, dyslipidaemia, or history of vascular events including cerebrovascular accidence, ischemic heart disease or peripheral vascular disease.
Key exclusion criteria (6 listed)
- New referrals to the outpatient clinics
- Unstable patients such as patients with recent hospitalization within 3 months to the interviewing date
- Patients with complex medical problems indicated by Charlson Comorbidity Index of equal or more than 5
- Patients whose active medical problems are not cardiovascular related
- Patient who are taking vitamin K antagonist
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
uncontrolled CVRF
Time frame: through study completion, an average of 1 year
uncontrolled CVRF, defined as the presence of any of the following: uncontrolled DM with HbA1c >7%, uncontrolled hypertension with office systolic blood pressure (SBP)>130mmHg and/or diastolic blood pressure (DBP) >80mmHg, or uncontrolled dyslipidaemia defined as low-density-lipoprotein (LDL) >1.8mmol/L.
7 secondary outcomes
unscheduled emergency service visit or hospitalization
Time frame: through study completion, an average 2 years
major adverse cardiovascular events (MACE)
Time frame: through study completion, an average 2 years
all-cause death
Time frame: through study completion, an average 2 years
HbA1c
Time frame: through study completion, an average 2 years
blood pressure
Time frame: through study completion, an average 2 years
low density lipoprotein
Time frame: through study completion, an average 2 years
patient satisfaction
Time frame: baseline, 1 year
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 3 Jul 2025.
- Results publication: PubMed 23935815Singh GM, Danaei G, Farzadfar F, Stevens GA, Woodward M, Wormser D, Kaptoge S, Whitlock G, Qiao Q, Lewington S, Di Angelantonio E, Vander Hoorn S, Lawes CM, Ali MK, Mozaffarian D, Ezzati M; Global Burden of Metabolic Risk Factors of Chronic Diseases Collaborating Group; Asia-Pacific Cohort Studies Collaboration (APCSC); Diabetes Epidemiology: Collaborative analysis of Diagnostic criteria in Europe (DECODE); Emerging Risk Factor Collaboration (ERFC); Prospective Studies Collaboration (PSC). The age-specific quantitative effects of metabolic risk factors on cardiovascular diseases and diabetes: a pooled analysis. PLoS One. 2013 Jul 30;8(7):e65174. doi: 10.1371/journal.pone.0065174. Print 2013.
- Results publication: PubMed 24842598Global Burden of Metabolic Risk Factors for Chronic Diseases Collaboration. Cardiovascular disease, chronic kidney disease, and diabetes mortality burden of cardiometabolic risk factors from 1980 to 2010: a comparative risk assessment. Lancet Diabetes Endocrinol. 2014 Aug;2(8):634-47. doi: 10.1016/S2213-8587(14)70102-0. Epub 2014 May 16.
- Results publication: PubMed 30586774Grundy SM, Stone NJ, Bailey AL, Beam C, Birtcher KK, Blumenthal RS, Braun LT, de Ferranti S, Faiella-Tommasino J, Forman DE, Goldberg R, Heidenreich PA, Hlatky MA, Jones DW, Lloyd-Jones D, Lopez-Pajares N, Ndumele CE, Orringer CE, Peralta CA, Saseen JJ, Smith SC Jr, Sperling L, Virani SS, Yeboah J. 2018 AHA/ACC/AACVPR/AAPA/ABC/ACPM/ADA/AGS/APhA/ASPC/NLA/PCNA Guideline on the Management of Blood Cholesterol: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation. 2019 Jun 18;139(25):e1082-e1143. doi: 10.1161/CIR.0000000000000625. Epub 2018 Nov 10.
- Results publication: PubMed 30291106Davies MJ, D'Alessio DA, Fradkin J, Kernan WN, Mathieu C, Mingrone G, Rossing P, Tsapas A, Wexler DJ, Buse JB. Management of Hyperglycemia in Type 2 Diabetes, 2018. A Consensus Report by the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD). Diabetes Care. 2018 Dec;41(12):2669-2701. doi: 10.2337/dci18-0033. Epub 2018 Oct 4.
- Results publication: PubMed 29146535Whelton PK, Carey RM, Aronow WS, Casey DE Jr, Collins KJ, Dennison Himmelfarb C, DePalma SM, Gidding S, Jamerson KA, Jones DW, MacLaughlin EJ, Muntner P, Ovbiagele B, Smith SC Jr, Spencer CC, Stafford RS, Taler SJ, Thomas RJ, Williams KA Sr, Williamson JD, Wright JT Jr. 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. J Am Coll Cardiol. 2018 May 15;71(19):e127-e248. doi: 10.1016/j.jacc.2017.11.006. Epub 2017 Nov 13. No abstract available.
- Results publication: PubMed 29450983Sherman L, Pelter MA, Deamer RL, Duan L, Batech M. Association between encounter frequency and time to blood pressure control among patients with newly diagnosed hypertension: a retrospective cohort study. J Clin Hypertens (Greenwich). 2018 Mar;20(3):429-437. doi: 10.1111/jch.13223. Epub 2018 Feb 16.
- Results publication: PubMed 21949161Morrison F, Shubina M, Turchin A. Encounter frequency and serum glucose level, blood pressure, and cholesterol level control in patients with diabetes mellitus. Arch Intern Med. 2011 Sep 26;171(17):1542-50. doi: 10.1001/archinternmed.2011.400.
- Individual participant dataSharing planned: Undecided
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
The record lists no contact. Use the official record to reach the sponsor.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Cardiovascular Risk Factor, run by Chinese University of Hong Kong at 1 site in Hong Kong.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 2 inclusion and 6 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 3 Jul 2025. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Hong Kong. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
uncontrolled CVRF (time frame: through study completion, an average of 1 year). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT07050407, which also lists 7 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 3 Jul 2025.