- ICH GCP
- Registro de ensaios clínicos dos EUA
- Ensaio Clínico NCT03299010
10-year Risk Prediction Models of Complications and Mortality of DM in Hong Kong
10-year Risk Prediction Models of Complications and Mortality of Diabetes Mellitus in Chinese Patients in Primary Care in Hong Kong
Diabetes Mellitus (DM) is a well-recognized public health issue worldwide. DM can lead to many complications resulting in morbidity and mortality, approximately 70% of DM related deaths were attributed to cardiovascular diseases (CVD).
Objectives:
To develop 10-year risk prediction models for CVD, end stage renal disease (ESRD) and all-cause mortality among Chinese patients with DM in primary care.
Hypotheses:
- Patient socio-demographic, clinical parameters, disease characteristics and treatment modalities are predictive of 10-year risk of CVD, ESRD and all-cause mortality.
- Risk prediction models developed from this study should have over 70% of discriminating power.
Design and Subjects:
10-year retrospective cohort study. All Chinese patients who were clinically diagnosed to have DM and were receiving care in the public (Hospital Authority) primary care clinics on or before 1 July 2006 will be followed up until 31 December 2016.
Main outcomes measures:
For total CVD, CHD, stroke, heart failure, ESRD, all-cause mortality
- 10-year incidence;
- Predictive factors
Data analysis:
Two thirds of subjects will be randomly selected as the training sample for model development. Cox regressions will be used to develop sex-specific 10-year risk prediction models for each outcome. The validity of models will be tested on the remaining one third of subjects by Harrell C statistics and ROC
Expected results:
Risk prediction models will enable accurate risk stratification and cost-effective interventions for Chinese DM patients in primary care.
Visão geral do estudo
Status
Descrição detalhada
This study aims to develop 10-year risk prediction models for total CVD and all-cause mortality among Chinese diabetic patients in primary care. Risk prediction models for individual DM complications including CHD, heart failure, stroke and ESRD will also be developed.
The objectives are to:
- Calculate the 10 years incidence of total CVD, all-cause mortality and each major DM complication in Chinese DM patients in primary care.
- Determine the risk factors that significantly predict total CVD, all-cause mortality and each major DM complication for Chinese DM patients in primary care.
- Develop and validate risk prediction models for total CVD, all-cause mortality and each major DM complication for Chinese DM patients in primary care.
- Develop a risk prediction nomogram and chart for the risk of total CVD, all-cause mortality for Chinese DM patients in primary care
Hypotheses:
- Patient socio-demographic, clinical parameters, disease characteristics, and treatment modalities are predictive of 10-year risk of total CVD, all-cause mortality and individual DM complication as a dependent variable.
- The risk prediction models for total CVD, all-cause mortality and individual DM complication developed in this study can have over 70% of discriminating power.
Tipo de estudo
Inscrição (Real)
Contactos e Locais
Critérios de participação
Critérios de elegibilidade
Idades elegíveis para estudo
Aceita Voluntários Saudáveis
Gêneros Elegíveis para o Estudo
Método de amostragem
População do estudo
Descrição
Inclusion Criteria:
- At least 1 GOPC/FMC attendance on or within 1 year before 1 July 2006
- Had a CMS (Clinical Management System) record in the Hospital Authority (HA) of the coding of ICPC-2 of T89 (Diabetes insulin dependent) or T90 (Diabetes non-insulin dependent) on or before 1 July 2006
Exclusion Criteria:
- Patients who had a diagnosis of any DM complications defined by the relevant ICPC-2 or ICD-9-CM on or before 1 July 2006
- Patients exclusively managed by Specialist Out-Patient Clinic (SOPC) on or before 1 July 2006.
Plano de estudo
Como o estudo é projetado?
Detalhes do projeto
Coortes e Intervenções
Grupo / Coorte |
---|
DM patient
Patients with a documented clinical diagnosis of DM and were receiving care in the Hospital Authority (HA) primary care General Out-Patient Clinics (GOPC) and Family Medicine Clinics (FMC) on or before 1 July 2006 identified from the HA clinical management system (CMS) database.
|
O que o estudo está medindo?
Medidas de resultados primários
Medida de resultado |
Descrição da medida |
Prazo |
---|---|---|
The incidence of total CVD, all-cause mortality and each of 4 major DM complications (CHD, stroke, heart failure and ESRD) over 10 years
Prazo: 10 years
|
Calculate the 10 years incidence of total CVD, all-cause mortality and each major DM complication in Chinese DM patients in primary care. CVD is defined as the presence of any of CHD, heart failure and stroke. CHD includes all ischaemic heart disease, myocardial infarction, coronary death or sudden death as indicated by the ICPC-2 K74 to K76 or ICD-9-CM 410.x, 411.x to 414.x, 798.x codes. Heart failure is defined by the ICPC-2 K77 or ICD-9-CM 428.x. Stoke (fatal and non-fatal stroke) is defined by the ICPC-2 K89 to K91 or ICD-9-CM 430.x to 438.x codes. |
10 years
|
Factors predictive of total CVD, all-cause mortality and each of 4 major DM complications (CHD, stroke, heart failure and ESRD) over 10 years
Prazo: 10 years
|
Determine the risk factors that significantly predict total CVD, all-cause mortality and each major DM complication for Chinese DM patients in primary care.
|
10 years
|
10-year risk prediction models for total CVD, all-cause mortality and each of 4 major DM complications (CHD, stroke, heart failure and ESRD)
Prazo: 10 years
|
Develop and validate risk prediction models for total CVD, all-cause mortality and each major DM complication for Chinese DM patients in primary care.
|
10 years
|
Factors that have sufficient power to classify Chinese DM patients in primary care into risk group in terms of total CVD and all-cause mortality
Prazo: 10 years
|
Develop a risk prediction nomogram and chart for the risk of total CVD, all-cause mortality for Chinese DM patients in primary care
|
10 years
|
Colaboradores e Investigadores
Patrocinador
Investigadores
- Investigador principal: Cindy L.K. Lam, Department of Family Medicine and Primary Care, University of Hong Kong
Publicações e links úteis
Publicações Gerais
- Dong W, Fong DYT, Yoon JS, Wan EYF, Bedford LE, Tang EHM, Lam CLK. Generative adversarial networks for imputing missing data for big data clinical research. BMC Med Res Methodol. 2021 Apr 20;21(1):78. doi: 10.1186/s12874-021-01272-3.
- Wan EYF, Yu EYT, Chin WY, Fung CSC, Kwok RLP, Chao DVK, Chan KH, Hui EM, Tsui WWS, Tan KCB, Fong DYT, Lam CLK. Ten-year risk prediction models of complications and mortality of Chinese patients with diabetes mellitus in primary care in Hong Kong: a study protocol. BMJ Open. 2018 Oct 15;8(10):e023070. doi: 10.1136/bmjopen-2018-023070.
Datas de registro do estudo
Datas Principais do Estudo
Início do estudo (Real)
Conclusão Primária (Real)
Conclusão do estudo (Real)
Datas de inscrição no estudo
Enviado pela primeira vez
Enviado pela primeira vez que atendeu aos critérios de CQ
Primeira postagem (Real)
Atualizações de registro de estudo
Última Atualização Postada (Real)
Última atualização enviada que atendeu aos critérios de controle de qualidade
Última verificação
Mais Informações
Termos relacionados a este estudo
Palavras-chave
Termos MeSH relevantes adicionais
Outros números de identificação do estudo
- HKUCTR-2232
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