Study type

Study type

Non-interventional study

Scope of the study

Disease epidemiology
Other

If ‘other’, further details on the scope of the study

Description of clinical characteristics, treatment and economic burden of disease
Non-interventional study

Non-interventional study design

Cross-sectional
Population studied

Age groups

Adults (18 to < 46 years)
Adults (46 to < 65 years)
Adults (65 to < 75 years)
Adults (75 to < 85 years)
Adults (85 years and over)

Estimated number of subjects

100000
Study design details

Main study objective

The study aimsed to investigate the clinical characteristics, treatment, and economic burden of disease of Chinese diabetic /non-diabetic patients with/without established cardiovascular disease, chronic kidney disease, or at high cardiovascular risk

Outcomes

1) The proportion of diabetic/non-diabetic patients with established CVD, or CKD, or at high cardiovascular risk 2) The proportion of diabetic patients with established CVD, or CKD, or at high cardiovascular risk among all diabetic patients 3) The proportion of non-diabetic patients with established CVD, or CKD, or at high cardiovascular risk, 1) Age at admission at the latest visit for all patients, as well as the trends for inpatients over time (2015, 2017, and 2019) 2) Gender at the latest visit for all patients, as well as the trends for inpatients over time (2015, 2017, and 2019) 3) Insurance payment at the latest visit for all patients, as well as the trends for inpatients over time (2015, 2017, and 2019)

Data analysis plan

Before analyses start, 200 randomly selected medical chart will be fully reviewed by well-trained experts to validate the accuracy and sensibility of code used to identify patients with cardiovascular disease or at high cardiovascular risk. The analyses will mainly describe the patient demographic characteristics, comorbidities, complications, treatment pattern and economic burden based on 40 hospitals EMRs of Tianjin regional database. Descriptive data will be provided. Characteristics presented as continuous data will be summarized through means, standard deviations, medians, minimum and maximum values, whereas, categorical data will be summarized as counts and proportions.