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

Study type

• Study topic:
  Disease /health condition
• Study type:
  Non-interventional study
• Scope of the study:
  Disease epidemiology

  Drug utilisation
• Data collection methods:
  Secondary use of data

Non-interventional study

• Non-interventional study design:
  Cross-sectional

Study drug and medical condition

No information provided.

Population studied

• Short description of the study population:
  Chinese diabetic/non-diabetic patients with/without established cardiovascular disease, chronic kidney disease, or at high cardiovascular risk.
• 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:
  100.000

Study design details

• Study design:
  Non-interventional cross-sectional study based on regional existing medical database.
• Main study objective:
  The study aimed 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.
• Setting:
  This study is based on Tianjin legional database which is a oved bv Tianjin Municipal Health Commission
• Outcomes:
  1. The number and proportion of diabetic/non-diabetic patients (outpatients and inpatients) with disease or risk from 2015 to 2019, patients will be defined as four groups (A-D) as mentioned above, 2. The demographic characteristics (including age, gender, ethic, insurance payment) of the lasted visiting for all patients, as well as the trends for inpatients over time (2015, 2017, and 2019), 1.The clinical characteristics of the studied population of the lasted visiting for all patients, as well as the trends for inpatients over time, 2.Treatment pattern of inpatients and outpatients will be described respectively.
• Data analysis plan:
  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. 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. All tests of statistical significance among different subgroups (age, gender, department, underlying diseases, etc.) will be two-sided unless otherwise specified, any test resulting in p<0.05 will be considered statistically significant.
• Summary results:
  The proportions of patients with established CVD, CKD and at high cardiovascular risk among diabetic patients were high. In the year of 2019, the proportions of diabetic patients with established CVD, CKD and at high cardiovascular risk accounted for 54.0%, 10.8% and 57.0% respectively. In comparison, for non-diabetic patients ; with established CVD, CKD and at high cardiovascular risk accounted for 34.2%, 3.2% and 39.6% respectively. Diabetic patients with comorbidities were older . In 2015, the mean age among diabetic patients with and without comorbidities was 64 and 49 years respectively.. Department of internal medicine was visited mostly by diabetic patients. In 2015, 61.4% outpatients and 69.5% inpatients visited or discharged from department of internal ; medicine, the proportion was 60.9% and 65.4% in 2019 for diabetic patients with comorbidities. Diabetic patients with comorbidities had longer length of stay (9 [6, 14] days vs. 6 [4, 10] days), higher proportion of re-hospitalization (46.8% vs. 15.2%), higher hospitalization cost (RMB 28,218.0 vs. RMB 11,330.0) than those ; without comorbidities. The total hospitalization cost increased from 2015 to 2019, while the outpatients cost decreased for all patients except non-diabetic patients without comorbidities.