The mean age was calculated for inpatients grouped by their diagnoses category [Arm A, B, C, D - inpatients only] and for all participants [All in- and outpatients] at their last visit in 2017. The Arms A, B, C, D - inpatients only were mutually exclusive in 2017.

Patients with risk factors (RF) were patients with diagnosis of CVD, HF, CKD or at high CV risk. Each participant could potentially have multiple diagnoses simultaneously.

The data presented for this outcome is an retrospective analysis of electronic healthcare records of the Tianjin regional data base. Participants with diagnoses of interest were identified by International Classification of Disease (ICD) code.

The mean age was calculated for inpatients grouped by their diagnoses category [Arm A, B, C, D - inpatients only] and for all participants [All in- and outpatients] at their last visit in 2019. The Arms A, B, C, D - inpatients only were mutually exclusive in 2019.

Patients with risk factors (RF) were patients with diagnosis of CVD, HF, CKD or at high CV risk. Each participant could potentially have multiple diagnoses simultaneously.

The data presented for this outcome is an retrospective analysis of electronic healthcare records of the Tianjin regional data base. Participants with diagnoses of interest were identified by International Classification of Disease (ICD) code.

The number of female and male was calculated for inpatients grouped by their diagnoses category [Arm A, B, C, D - inpatients only] and for all participants [All in- and outpatients] at their last visit in 2015. The Arms A, B, C, D - inpatients only were mutually exclusive in 2015.

Patients with risk factors (RF) were patients with diagnosis of CVD, HF, CKD or at high CV risk. Each participant could potentially have multiple diagnoses simultaneously.

The data presented for this outcome is an retrospective analysis of electronic healthcare records of the Tianjin regional data base. Participants with diagnoses of interest were identified by International Classification of Disease (ICD) code.

The number of female and male was calculated for inpatients grouped by their diagnoses category [Arm A, B, C, D - inpatients only] and for all participants [All in- and outpatients] at their last visit in 2017. The Arms A, B, C, D - inpatients only were mutually exclusive in 2017.

Patients with risk factors (RF) were patients with diagnosis of CVD, HF, CKD or at high CV risk. Each participant could potentially have multiple diagnoses simultaneously.

The data presented for this outcome is an retrospective analysis of electronic healthcare records of the Tianjin regional data base. Participants with diagnoses of interest were identified by International Classification of Disease (ICD) code.

The number of female and male was calculated for inpatients grouped by their diagnoses category [Arm A, B, C, D - inpatients only] and for all participants [All in- and outpatients] at their last visit in 2019. The Arms A, B, C, D - inpatients only were mutually exclusive in 2019.

Patients with risk factors (RF) were patients with diagnosis of CVD, HF, CKD or at high CV risk. Each participant could potentially have multiple diagnoses simultaneously.

The data presented for this outcome is an retrospective analysis of electronic healthcare records of the Tianjin regional data base. Participants with diagnoses of interest were identified by International Classification of Disease (ICD) code.

The number of participants with insurance payment was calculated for inpatients grouped by their diagnoses category [Arm A, B, C, D - inpatients only] and for all participants [All in- and outpatients] at their last visit in 2015. The Arms A, B, C, D - inpatients only were mutually exclusive in 2015.

Patients with risk factors (RF) were patients with diagnosis of CVD, HF, CKD or at high CV risk. Each participant could potentially have multiple diagnoses simultaneously.

The data presented for this outcome is an retrospective analysis of electronic healthcare records of the Tianjin regional data base. Participants with diagnoses of interest were identified by International Classification of Disease (ICD) code.

The number of participants with insurance payment was calculated for inpatients grouped by their diagnoses category [Arm A, B, C, D - inpatients only] and for all participants [All in- and outpatients] at their last visit in 2017. The Arms A, B, C, D - inpatients only were mutually exclusive in 2017.

Patients with risk factors (RF) were patients with diagnosis of CVD, HF, CKD or at high CV risk. Each participant could potentially have multiple diagnoses simultaneously.

The data presented for this outcome is an retrospective analysis of electronic healthcare records of the Tianjin regional data base. Participants with diagnoses of interest were identified by International Classification of Disease (ICD) code.

The number of participants with insurance payment was calculated for inpatients grouped by their diagnoses category [Arm A, B, C, D - inpatients only] and for all participants [All in- and outpatients] at their last visit in 2019. The Arms A, B, C, D - inpatients only were mutually exclusive in 2019.

Patients with risk factors (RF) were patients with diagnosis of CVD, HF, CKD or at high CV risk. Each participant could potentially have multiple diagnoses simultaneously.

The data presented for this outcome is an retrospective analysis of electronic healthcare records of the Tianjin regional data base. Participants with diagnoses of interest were identified by International Classification of Disease (ICD) code.

The number of participants in a particular discharge department was calculated for inpatients grouped by their diagnoses category [Arm A, B, C, D - inpatients only] and for all participants [All in- and outpatients] at their last visit in 2015. The Arms A, B, C, D - inpatients only were mutually exclusive in 2015.

Patients with risk factors (RF) were patients with diagnosis of CVD, HF, CKD or at high CV risk. Each participant could potentially have multiple diagnoses and records in multiple discharge departments simultaneously. Thus, one participant could potentially occur more than once per arm.

The data presented for this outcome is an retrospective analysis of electronic healthcare records of the Tianjin regional data base. Participants with diagnoses of interest were identified by International Classification of Disease (ICD) code.

The number of participants in a particular discharge department was calculated for inpatients grouped by their diagnoses category [Arm A, B, C, D - inpatients only] and for all participants [All in- and outpatients] at their last visit in 2017. The Arms A, B, C, D - inpatients only were mutually exclusive in 2017.

Patients with risk factors (RF) were patients with diagnosis of CVD, HF, CKD or at high CV risk. Each participant could potentially have multiple diagnoses and records in multiple discharge departments simultaneously. Thus, one participant could potentially occur more than once per arm. Thus, one participant could potentially occur more than once per arm.

The data presented for this outcome is an retrospective analysis of electronic healthcare records of the Tianjin regional data base. Participants with diagnoses of interest were identified by International Classification of Disease (ICD) code.

The number of participants in a particular discharge department was calculated for inpatients grouped by their diagnoses category [Arm A, B, C, D - inpatients only] and for all participants [All in- and outpatients] at their last visit in 2019. The Arms A, B, C, D - inpatients only were mutually exclusive in 2019.

Patients with risk factors (RF) were patients with diagnosis of CVD, HF, CKD or at high CV risk. Each participant could potentially have multiple diagnoses and records in multiple discharge departments simultaneously. Thus, one participant could potentially occur more than once per arm.

The data presented for this outcome is an retrospective analysis of electronic healthcare records of the Tianjin regional data base. Participants with diagnoses of interest were identified by International Classification of Disease (ICD) code.

The number of participants who were diagnosed as dead in 2015 was calculated for inpatients grouped by their diagnoses category [Arm A, B, C, D - inpatients only] and for all participants [All in- and outpatients] at their last visit in 2015. The Arms A, B, C, D - inpatients only were mutually exclusive in 2015.

Patients with risk factors (RF) were patients with diagnosis of CVD, HF, CKD or at high CV risk. Each participant could potentially have multiple diagnoses simultaneously.

The data presented for this outcome is an retrospective analysis of electronic healthcare records of the Tianjin regional data base. Participants with diagnoses of interest were identified by International Classification of Disease (ICD) code.

The number of participants who were diagnosed as dead in 2017 was calculated for inpatients grouped by their diagnoses category [Arm A, B, C, D - inpatients only] and for all participants [All in- and outpatients] at their last visit in 2017. The Arms A, B, C, D - inpatients only were mutually exclusive in 2017.

Patients with risk factors (RF) were patients with diagnosis of CVD, HF, CKD or at high CV risk. Each participant could potentially have multiple diagnoses simultaneously.

The data presented for this outcome is an retrospective analysis of electronic healthcare records of the Tianjin regional data base. Participants with diagnoses of interest were identified by International Classification of Disease (ICD) code.

The number of participants who were diagnosed as dead in 2019 was calculated for inpatients grouped by their diagnoses category [Arm A, B, C, D - inpatients only] and for all participants [All in- and outpatients] at their last visit in 2019. The Arms A, B, C, D - inpatients only were mutually exclusive in 2019.

Patients with risk factors (RF) were patients with diagnosis of CVD, HF, CKD or at high CV risk. Each participant could potentially have multiple diagnoses simultaneously.

The data presented for this outcome is an retrospective analysis of electronic healthcare records of the Tianjin regional data base. Participants with diagnoses of interest were identified by International Classification of Disease (ICD) code.

The value of glycated hemoglobin (HbA1c) was calculated for inpatients grouped by their diagnoses category [Arm A, B, C, D - inpatients only] and for all participants [All in- and outpatients] at their last visit in 2015. The Arms A, B, C, D - inpatients only were mutually exclusive in 2015.

Patients with risk factors (RF) were patients with diagnosis of CVD, HF, CKD or at high CV risk. Each participant could potentially have multiple diagnoses simultaneously.

The data presented for this outcome is an retrospective analysis of electronic healthcare records of the Tianjin regional data base. Participants with diagnoses of interest were identified by International Classification of Disease (ICD) code.

The value of glycated hemoglobin (HbA1c) was calculated for inpatients grouped by their diagnoses category [Arm A, B, C, D - inpatients only] and for all participants [All in- and outpatients] at their last visit in 2017. The Arms A, B, C, D - inpatients only were mutually exclusive in 2017.

Patients with risk factors (RF) were patients with diagnosis of CVD, HF, CKD or at high CV risk. Each participant could potentially have multiple diagnoses simultaneously.

The data presented for this outcome is an retrospective analysis of electronic healthcare records of the Tianjin regional data base. Participants with diagnoses of interest were identified by International Classification of Disease (ICD) code.

The value of glycated hemoglobin (HbA1c) was calculated for inpatients grouped by their diagnoses category [Arm A, B, C, D - inpatients only] and for all participants [All in- and outpatients] at their last visit in 2019. The Arms A, B, C, D - inpatients only were mutually exclusive in 2019.

Patients with risk factors (RF) were patients with diagnosis of CVD, HF, CKD or at high CV risk. Each participant could potentially have multiple diagnoses simultaneously.

The data presented for this outcome is an retrospective analysis of electronic healthcare records of the Tianjin regional data base. Participants with diagnoses of interest were identified by International Classification of Disease (ICD) code.

The concentration (Millimole per liter (mmol/L)) of random blood glucose was calculated for inpatients grouped by their diagnoses category [Arm A, B, C, D - inpatients only] and for all participants [All in- and outpatients] at their last visit in 2015. The Arms A, B, C, D - inpatients only were mutually exclusive in 2015.

Patients with risk factors (RF) were patients with diagnosis of CVD, HF, CKD or at high CV risk. Each participant could potentially have multiple diagnoses simultaneously.

The data presented for this outcome is an retrospective analysis of electronic healthcare records of the Tianjin regional data base. Participants with diagnoses of interest were identified by International Classification of Disease (ICD) code.

The concentration (Millimole per liter (mmol/L)) of random blood glucose was calculated for inpatients grouped by their diagnoses category [Arm A, B, C, D - inpatients only] and for all participants [All in- and outpatients] at their last visit in 2017. The Arms A, B, C, D - inpatients only were mutually exclusive in 2017.

Patients with risk factors (RF) were patients with diagnosis of CVD, HF, CKD or at high CV risk. Each participant could potentially have multiple diagnoses simultaneously.

The data presented for this outcome is an retrospective analysis of electronic healthcare records of the Tianjin regional data base. Participants with diagnoses of interest were identified by International Classification of Disease (ICD) code.

The concentration (Millimole per liter (mmol/L)) of random blood glucose was calculated for inpatients grouped by their diagnoses category [Arm A, B, C, D - inpatients only] and for all participants [All in- and outpatients] at their last visit in 2019. The Arms A, B, C, D - inpatients only were mutually exclusive in 2019.

Patients with risk factors (RF) were patients with diagnosis of CVD, HF, CKD or at high CV risk. Each participant could potentially have multiple diagnoses simultaneously.

The data presented for this outcome is an retrospective analysis of electronic healthcare records of the Tianjin regional data base. Participants with diagnoses of interest were identified by International Classification of Disease (ICD) code.

Serum creatine concentration (μmol/L) was calculated for inpatients grouped by their diagnoses category [Arm A, B, C, D - inpatients only] and for all participants [All in- and outpatients] at their last visit in 2015. The Arms A, B, C, D - inpatients only were mutually exclusive in 2015.

Patients with risk factors (RF) were patients with diagnosis of CVD, HF, CKD or at high CV risk. Each participant could potentially have multiple diagnoses simultaneously.

The data presented for this outcome is an retrospective analysis of electronic healthcare records of the Tianjin regional data base. Participants with diagnoses of interest were identified by International Classification of Disease (ICD) code.

Serum creatine concentration (μmol/L) was calculated for inpatients grouped by their diagnoses category [Arm A, B, C, D - inpatients only] and for all participants [All in- and outpatients] at their last visit in 2017. The Arms A, B, C, D - inpatients only were mutually exclusive in 2017.

Patients with risk factors (RF) were patients with diagnosis of CVD, HF, CKD or at high CV risk. Each participant could potentially have multiple diagnoses simultaneously.

The data presented for this outcome is an retrospective analysis of electronic healthcare records of the Tianjin regional data base. Participants with diagnoses of interest were identified by International Classification of Disease (ICD) code.

Serum creatine concentration (μmol/L) was calculated for inpatients grouped by their diagnoses category [Arm A, B, C, D - inpatients only] and for all participants [All in- and outpatients] at their last visit in 2019. The Arms A, B, C, D - inpatients only were mutually exclusive in 2019.

Patients with risk factors (RF) were patients with diagnosis of CVD, HF, CKD or at high CV risk. Each participant could potentially have multiple diagnoses simultaneously.

The data presented for this outcome is an retrospective analysis of electronic healthcare records of the Tianjin regional data base. Participants with diagnoses of interest were identified by International Classification of Disease (ICD) code.

As per protocol baseline characteristics were calculated by year over all individual participants considering only participants with available data at their last visit.

Race and Ethnicity were not collected from any participant.

The mean age was calculated for inpatients grouped by their diagnoses category [Arm A, B, C, D - inpatients only] and for all participants [All in- and outpatients] at their last visit in 2015. The Arms A, B, C, D - inpatients only were mutually exclusive in 2015.

Patients with risk factors (RF) were patients with diagnosis of CVD, HF, CKD or at high CV risk. Each participant could potentially have multiple diagnoses simultaneously.

The data presented for this outcome is an retrospective analysis of electronic healthcare records of the Tianjin regional data base. Participants with diagnoses of interest were identified by International Classification of Disease (ICD) code.

In- and outpatients in 2015 with and without diabetes and with and without diagnosis of risk factors CVD, HF, CKD, and high CV risk. For this outcome, inpatients results [Arm A, B, C, D] are reported separately per arm and in- and outpatients results [All in-and outpatients] are reported over all in- and outpatients and over all arms in 2015. Only patients with available data for this outcome were included in this analysis.

The mean age was calculated for inpatients grouped by their diagnoses category [Arm A, B, C, D - inpatients only] and for all participants [All in- and outpatients] at their last visit in 2017. The Arms A, B, C, D - inpatients only were mutually exclusive in 2017.

Patients with risk factors (RF) were patients with diagnosis of CVD, HF, CKD or at high CV risk. Each participant could potentially have multiple diagnoses simultaneously.

The data presented for this outcome is an retrospective analysis of electronic healthcare records of the Tianjin regional data base. Participants with diagnoses of interest were identified by International Classification of Disease (ICD) code.

In- and outpatients in 2017 with and without diabetes and with and without diagnosis of risk factors CVD, HF, CKD, and high CV risk. For this outcome, inpatients results [Arm A, B, C, D] are reported separately per arm and in- and outpatients results [All in-and outpatients] are reported over all in- and outpatients and over all arms in 2017. Only patients with available data for this outcome were included in this analysis.

The mean age was calculated for inpatients grouped by their diagnoses category [Arm A, B, C, D - inpatients only] and for all participants [All in- and outpatients] at their last visit in 2019. The Arms A, B, C, D - inpatients only were mutually exclusive in 2019.

Patients with risk factors (RF) were patients with diagnosis of CVD, HF, CKD or at high CV risk. Each participant could potentially have multiple diagnoses simultaneously.

The data presented for this outcome is an retrospective analysis of electronic healthcare records of the Tianjin regional data base. Participants with diagnoses of interest were identified by International Classification of Disease (ICD) code.

In- and outpatients in 2019 with and without diabetes and with and without diagnosis of risk factors CVD, HF, CKD, and high CV risk. For this outcome, inpatients results [Arm A, B, C, D] are reported separately per arm and in- and outpatients results [All in-and outpatients] are reported over all in- and outpatients and over all arms in 2019. Only patients with available data for this outcome were included in this analysis.

The number of female and male was calculated for inpatients grouped by their diagnoses category [Arm A, B, C, D - inpatients only] and for all participants [All in- and outpatients] at their last visit in 2015. The Arms A, B, C, D - inpatients only were mutually exclusive in 2015.

Patients with risk factors (RF) were patients with diagnosis of CVD, HF, CKD or at high CV risk. Each participant could potentially have multiple diagnoses simultaneously.

The data presented for this outcome is an retrospective analysis of electronic healthcare records of the Tianjin regional data base. Participants with diagnoses of interest were identified by International Classification of Disease (ICD) code.

In- and outpatients in 2015 with and without diabetes and with and without diagnosis of risk factors CVD, HF, CKD, and high CV risk. For this outcome, inpatients results [Arm A, B, C, D] are reported separately per arm and in- and outpatients results [All in-and outpatients] are reported over all in- and outpatients and over all arms in 2015. Only patients with available data for this outcome were included in this analysis.

The number of female and male was calculated for inpatients grouped by their diagnoses category [Arm A, B, C, D - inpatients only] and for all participants [All in- and outpatients] at their last visit in 2017. The Arms A, B, C, D - inpatients only were mutually exclusive in 2017.

Patients with risk factors (RF) were patients with diagnosis of CVD, HF, CKD or at high CV risk. Each participant could potentially have multiple diagnoses simultaneously.

The data presented for this outcome is an retrospective analysis of electronic healthcare records of the Tianjin regional data base. Participants with diagnoses of interest were identified by International Classification of Disease (ICD) code.

In- and outpatients in 2017 with and without diabetes and with and without diagnosis of risk factors CVD, HF, CKD, and high CV risk. For this outcome, inpatients results [Arm A, B, C, D] are reported separately per arm and in- and outpatients results [All in-and outpatients] are reported over all in- and outpatients and over all arms in 2017. Only patients with available data for this outcome were included in this analysis.

The number of female and male was calculated for inpatients grouped by their diagnoses category [Arm A, B, C, D - inpatients only] and for all participants [All in- and outpatients] at their last visit in 2019. The Arms A, B, C, D - inpatients only were mutually exclusive in 2019.

Patients with risk factors (RF) were patients with diagnosis of CVD, HF, CKD or at high CV risk. Each participant could potentially have multiple diagnoses simultaneously.

The data presented for this outcome is an retrospective analysis of electronic healthcare records of the Tianjin regional data base. Participants with diagnoses of interest were identified by International Classification of Disease (ICD) code.

In- and outpatients in 2019 with and without diabetes and with and without diagnosis of risk factors CVD, HF, CKD, and high CV risk. For this outcome, inpatients results [Arm A, B, C, D] are reported separately per arm and in- and outpatients results [All in-and outpatients] are reported over all in- and outpatients and over all arms in 2019. Only patients with available data for this outcome were included in this analysis.

The number of participants with insurance payment was calculated for inpatients grouped by their diagnoses category [Arm A, B, C, D - inpatients only] and for all participants [All in- and outpatients] at their last visit in 2015. The Arms A, B, C, D - inpatients only were mutually exclusive in 2015.

Patients with risk factors (RF) were patients with diagnosis of CVD, HF, CKD or at high CV risk. Each participant could potentially have multiple diagnoses simultaneously.

The data presented for this outcome is an retrospective analysis of electronic healthcare records of the Tianjin regional data base. Participants with diagnoses of interest were identified by International Classification of Disease (ICD) code.

In- and outpatients in 2015 with and without diabetes and with and without diagnosis of risk factors CVD, HF, CKD, and high CV risk. For this outcome, inpatients results [Arm A, B, C, D] are reported separately per arm and in- and outpatients results [All in-and outpatients] are reported over all in- and outpatients and over all arms in 2015. Only patients with available data for this outcome were included in this analysis.

The number of participants with insurance payment was calculated for inpatients grouped by their diagnoses category [Arm A, B, C, D - inpatients only] and for all participants [All in- and outpatients] at their last visit in 2017. The Arms A, B, C, D - inpatients only were mutually exclusive in 2017.

Patients with risk factors (RF) were patients with diagnosis of CVD, HF, CKD or at high CV risk. Each participant could potentially have multiple diagnoses simultaneously.

The data presented for this outcome is an retrospective analysis of electronic healthcare records of the Tianjin regional data base. Participants with diagnoses of interest were identified by International Classification of Disease (ICD) code.

In- and outpatients in 2017 with and without diabetes and with and without diagnosis of risk factors CVD, HF, CKD, and high CV risk. For this outcome, inpatients results [Arm A, B, C, D] are reported separately per arm and in- and outpatients results [All in-and outpatients] are reported over all in- and outpatients and over all arms in 2017. Only patients with available data for this outcome were included in this analysis.

The number of participants with insurance payment was calculated for inpatients grouped by their diagnoses category [Arm A, B, C, D - inpatients only] and for all participants [All in- and outpatients] at their last visit in 2019. The Arms A, B, C, D - inpatients only were mutually exclusive in 2019.

Patients with risk factors (RF) were patients with diagnosis of CVD, HF, CKD or at high CV risk. Each participant could potentially have multiple diagnoses simultaneously.

The data presented for this outcome is an retrospective analysis of electronic healthcare records of the Tianjin regional data base. Participants with diagnoses of interest were identified by International Classification of Disease (ICD) code.

In- and outpatients in 2019 with and without diabetes and with and without diagnosis of risk factors CVD, HF, CKD, and high CV risk. For this outcome, inpatients results [Arm A, B, C, D] are reported separately per arm and in- and outpatients results [All in-and outpatients] are reported over all in- and outpatients and over all arms in 2019. Only patients with available data for this outcome were included in this analysis.

The number of participants in a particular discharge department was calculated for inpatients grouped by their diagnoses category [Arm A, B, C, D - inpatients only] and for all participants [All in- and outpatients] at their last visit in 2015. The Arms A, B, C, D - inpatients only were mutually exclusive in 2015.

Patients with risk factors (RF) were patients with diagnosis of CVD, HF, CKD or at high CV risk. Each participant could potentially have multiple diagnoses and records in multiple discharge departments simultaneously. Thus, one participant could potentially occur more than once per arm.

The data presented for this outcome is an retrospective analysis of electronic healthcare records of the Tianjin regional data base. Participants with diagnoses of interest were identified by International Classification of Disease (ICD) code.

In- and outpatients in 2015 with and without diabetes and with and without diagnosis of risk factors CVD, HF, CKD, and high CV risk. Inpatients results [Arm A, B, C, D] are reported separately per arm, in- and outpatients results [All in-and outpatients] are reported over all in- and outpatients and over all arms in 2015. Only patients with available data were included in this analysis. Patients could have records in multiple departments or could not be classified to any given department.

The number of participants in a particular discharge department was calculated for inpatients grouped by their diagnoses category [Arm A, B, C, D - inpatients only] and for all participants [All in- and outpatients] at their last visit in 2017. The Arms A, B, C, D - inpatients only were mutually exclusive in 2017.

Patients with risk factors (RF) were patients with diagnosis of CVD, HF, CKD or at high CV risk. Each participant could potentially have multiple diagnoses and records in multiple discharge departments simultaneously. Thus, one participant could potentially occur more than once per arm. Thus, one participant could potentially occur more than once per arm.

The data presented for this outcome is an retrospective analysis of electronic healthcare records of the Tianjin regional data base. Participants with diagnoses of interest were identified by International Classification of Disease (ICD) code.

In- and outpatients in 2017 with and without diabetes and with and without diagnosis of risk factors CVD, HF, CKD, and high CV risk. Inpatients results [Arm A, B, C, D] are reported separately per arm, in- and outpatients results [All in-and outpatients] are reported over all in- and outpatients and over all arms in 2017. Only patients with available data were included in this analysis. Patients could have records in multiple departments or could not be classified to any given department.

The number of participants in a particular discharge department was calculated for inpatients grouped by their diagnoses category [Arm A, B, C, D - inpatients only] and for all participants [All in- and outpatients] at their last visit in 2019. The Arms A, B, C, D - inpatients only were mutually exclusive in 2019.

Patients with risk factors (RF) were patients with diagnosis of CVD, HF, CKD or at high CV risk. Each participant could potentially have multiple diagnoses and records in multiple discharge departments simultaneously. Thus, one participant could potentially occur more than once per arm.

The data presented for this outcome is an retrospective analysis of electronic healthcare records of the Tianjin regional data base. Participants with diagnoses of interest were identified by International Classification of Disease (ICD) code.

In- and outpatients in 2019 with and without diabetes and with and without diagnosis of risk factors CVD, HF, CKD, and high CV risk. Inpatients results [Arm A, B, C, D] are reported separately per arm, in- and outpatients results [All in-and outpatients] are reported over all in- and outpatients and over all arms in 2019. Only patients with available data were included in this analysis. Patients could have records in multiple departments or could not be classified to any given department.

The number of participants who were diagnosed as dead in 2015 was calculated for inpatients grouped by their diagnoses category [Arm A, B, C, D - inpatients only] and for all participants [All in- and outpatients] at their last visit in 2015. The Arms A, B, C, D - inpatients only were mutually exclusive in 2015.

Patients with risk factors (RF) were patients with diagnosis of CVD, HF, CKD or at high CV risk. Each participant could potentially have multiple diagnoses simultaneously.

The data presented for this outcome is an retrospective analysis of electronic healthcare records of the Tianjin regional data base. Participants with diagnoses of interest were identified by International Classification of Disease (ICD) code.

In- and outpatients in 2015 with and without diabetes and with and without diagnosis of risk factors CVD, HF, CKD, and high CV risk. For this outcome, inpatients results [Arm A, B, C, D] are reported separately per arm and in- and outpatients results [All in-and outpatients] are reported over all in- and outpatients and over all arms in 2015. Only patients with available data for this outcome were included in this analysis.

The number of participants who were diagnosed as dead in 2017 was calculated for inpatients grouped by their diagnoses category [Arm A, B, C, D - inpatients only] and for all participants [All in- and outpatients] at their last visit in 2017. The Arms A, B, C, D - inpatients only were mutually exclusive in 2017.

Patients with risk factors (RF) were patients with diagnosis of CVD, HF, CKD or at high CV risk. Each participant could potentially have multiple diagnoses simultaneously.

The data presented for this outcome is an retrospective analysis of electronic healthcare records of the Tianjin regional data base. Participants with diagnoses of interest were identified by International Classification of Disease (ICD) code.

In- and outpatients in 2017 with and without diabetes and with and without diagnosis of risk factors CVD, HF, CKD, and high CV risk. For this outcome, inpatients results [Arm A, B, C, D] are reported separately per arm and in- and outpatients results [All in-and outpatients] are reported over all in- and outpatients and over all arms in 2017. Only patients with available data for this outcome were included in this analysis.

The number of participants who were diagnosed as dead in 2019 was calculated for inpatients grouped by their diagnoses category [Arm A, B, C, D - inpatients only] and for all participants [All in- and outpatients] at their last visit in 2019. The Arms A, B, C, D - inpatients only were mutually exclusive in 2019.

Patients with risk factors (RF) were patients with diagnosis of CVD, HF, CKD or at high CV risk. Each participant could potentially have multiple diagnoses simultaneously.

The data presented for this outcome is an retrospective analysis of electronic healthcare records of the Tianjin regional data base. Participants with diagnoses of interest were identified by International Classification of Disease (ICD) code.

In- and outpatients in 2019 with and without diabetes and with and without diagnosis of risk factors CVD, HF, CKD, and high CV risk. For this outcome, inpatients results [Arm A, B, C, D] are reported separately per arm and in- and outpatients results [All in-and outpatients] are reported over all in- and outpatients and over all arms in 2019. Only patients with available data for this outcome were included in this analysis.

The value of glycated hemoglobin (HbA1c) was calculated for inpatients grouped by their diagnoses category [Arm A, B, C, D - inpatients only] and for all participants [All in- and outpatients] at their last visit in 2015. The Arms A, B, C, D - inpatients only were mutually exclusive in 2015.

Patients with risk factors (RF) were patients with diagnosis of CVD, HF, CKD or at high CV risk. Each participant could potentially have multiple diagnoses simultaneously.

The data presented for this outcome is an retrospective analysis of electronic healthcare records of the Tianjin regional data base. Participants with diagnoses of interest were identified by International Classification of Disease (ICD) code.

In- and outpatients in 2015 with and without diabetes and with and without diagnosis of risk factors CVD, HF, CKD, and high CV risk. For this outcome, inpatients results [Arm A, B, C, D] are reported separately per arm and in- and outpatients results [All in-and outpatients] are reported over all in- and outpatients and over all arms in 2015. Only patients with available data for this outcome were included in this analysis.

The value of glycated hemoglobin (HbA1c) was calculated for inpatients grouped by their diagnoses category [Arm A, B, C, D - inpatients only] and for all participants [All in- and outpatients] at their last visit in 2017. The Arms A, B, C, D - inpatients only were mutually exclusive in 2017.

Patients with risk factors (RF) were patients with diagnosis of CVD, HF, CKD or at high CV risk. Each participant could potentially have multiple diagnoses simultaneously.

The data presented for this outcome is an retrospective analysis of electronic healthcare records of the Tianjin regional data base. Participants with diagnoses of interest were identified by International Classification of Disease (ICD) code.

In- and outpatients in 2017 with and without diabetes and with and without diagnosis of risk factors CVD, HF, CKD, and high CV risk. For this outcome, inpatients results [Arm A, B, C, D] are reported separately per arm and in- and outpatients results [All in-and outpatients] are reported over all in- and outpatients and over all arms in 2017. Only patients with available data for this outcome were included in this analysis.

The value of glycated hemoglobin (HbA1c) was calculated for inpatients grouped by their diagnoses category [Arm A, B, C, D - inpatients only] and for all participants [All in- and outpatients] at their last visit in 2019. The Arms A, B, C, D - inpatients only were mutually exclusive in 2019.

Patients with risk factors (RF) were patients with diagnosis of CVD, HF, CKD or at high CV risk. Each participant could potentially have multiple diagnoses simultaneously.

The data presented for this outcome is an retrospective analysis of electronic healthcare records of the Tianjin regional data base. Participants with diagnoses of interest were identified by International Classification of Disease (ICD) code.

In- and outpatients in 2019 with and without diabetes and with and without diagnosis of risk factors CVD, HF, CKD, and high CV risk. For this outcome, inpatients results [Arm A, B, C, D] are reported separately per arm and in- and outpatients results [All in-and outpatients] are reported over all in- and outpatients and over all arms in 2019. Only patients with available data for this outcome were included in this analysis.

The concentration (Millimole per liter (mmol/L)) of random blood glucose was calculated for inpatients grouped by their diagnoses category [Arm A, B, C, D - inpatients only] and for all participants [All in- and outpatients] at their last visit in 2015. The Arms A, B, C, D - inpatients only were mutually exclusive in 2015.

Patients with risk factors (RF) were patients with diagnosis of CVD, HF, CKD or at high CV risk. Each participant could potentially have multiple diagnoses simultaneously.

The data presented for this outcome is an retrospective analysis of electronic healthcare records of the Tianjin regional data base. Participants with diagnoses of interest were identified by International Classification of Disease (ICD) code.

In- and outpatients in 2015 with and without diabetes and with and without diagnosis of risk factors CVD, HF, CKD, and high CV risk. For this outcome, inpatients results [Arm A, B, C, D] are reported separately per arm and in- and outpatients results [All in-and outpatients] are reported over all in- and outpatients and over all arms in 2015. Only patients with available data for this outcome were included in this analysis.

The concentration (Millimole per liter (mmol/L)) of random blood glucose was calculated for inpatients grouped by their diagnoses category [Arm A, B, C, D - inpatients only] and for all participants [All in- and outpatients] at their last visit in 2017. The Arms A, B, C, D - inpatients only were mutually exclusive in 2017.

Patients with risk factors (RF) were patients with diagnosis of CVD, HF, CKD or at high CV risk. Each participant could potentially have multiple diagnoses simultaneously.

The data presented for this outcome is an retrospective analysis of electronic healthcare records of the Tianjin regional data base. Participants with diagnoses of interest were identified by International Classification of Disease (ICD) code.

In- and outpatients in 2017 with and without diabetes and with and without diagnosis of risk factors CVD, HF, CKD, and high CV risk. For this outcome, inpatients results [Arm A, B, C, D] are reported separately per arm and in- and outpatients results [All in-and outpatients] are reported over all in- and outpatients and over all arms in 2017. Only patients with available data for this outcome were included in this analysis.

The concentration (Millimole per liter (mmol/L)) of random blood glucose was calculated for inpatients grouped by their diagnoses category [Arm A, B, C, D - inpatients only] and for all participants [All in- and outpatients] at their last visit in 2019. The Arms A, B, C, D - inpatients only were mutually exclusive in 2019.

Patients with risk factors (RF) were patients with diagnosis of CVD, HF, CKD or at high CV risk. Each participant could potentially have multiple diagnoses simultaneously.

The data presented for this outcome is an retrospective analysis of electronic healthcare records of the Tianjin regional data base. Participants with diagnoses of interest were identified by International Classification of Disease (ICD) code.

In- and outpatients in 2019 with and without diabetes and with and without diagnosis of risk factors CVD, HF, CKD, and high CV risk. For this outcome, inpatients results [Arm A, B, C, D] are reported separately per arm and in- and outpatients results [All in-and outpatients] are reported over all in- and outpatients and over all arms in 2019. Only patients with available data for this outcome were included in this analysis.

Serum creatine concentration (μmol/L) was calculated for inpatients grouped by their diagnoses category [Arm A, B, C, D - inpatients only] and for all participants [All in- and outpatients] at their last visit in 2015. The Arms A, B, C, D - inpatients only were mutually exclusive in 2015.

Patients with risk factors (RF) were patients with diagnosis of CVD, HF, CKD or at high CV risk. Each participant could potentially have multiple diagnoses simultaneously.

The data presented for this outcome is an retrospective analysis of electronic healthcare records of the Tianjin regional data base. Participants with diagnoses of interest were identified by International Classification of Disease (ICD) code.

In- and outpatients in 2015 with and without diabetes and with and without diagnosis of risk factors CVD, HF, CKD, and high CV risk. For this outcome, inpatients results [Arm A, B, C, D] are reported separately per arm and in- and outpatients results [All in-and outpatients] are reported over all in- and outpatients and over all arms in 2015. Only patients with available data for this outcome were included in this analysis.

Serum creatine concentration (μmol/L) was calculated for inpatients grouped by their diagnoses category [Arm A, B, C, D - inpatients only] and for all participants [All in- and outpatients] at their last visit in 2017. The Arms A, B, C, D - inpatients only were mutually exclusive in 2017.

Patients with risk factors (RF) were patients with diagnosis of CVD, HF, CKD or at high CV risk. Each participant could potentially have multiple diagnoses simultaneously.

The data presented for this outcome is an retrospective analysis of electronic healthcare records of the Tianjin regional data base. Participants with diagnoses of interest were identified by International Classification of Disease (ICD) code.

In- and outpatients in 2017 with and without diabetes and with and without diagnosis of risk factors CVD, HF, CKD, and high CV risk. For this outcome, inpatients results [Arm A, B, C, D] are reported separately per arm and in- and outpatients results [All in-and outpatients] are reported over all in- and outpatients and over all arms in 2017. Only patients with available data for this outcome were included in this analysis.

Serum creatine concentration (μmol/L) was calculated for inpatients grouped by their diagnoses category [Arm A, B, C, D - inpatients only] and for all participants [All in- and outpatients] at their last visit in 2019. The Arms A, B, C, D - inpatients only were mutually exclusive in 2019.

Patients with risk factors (RF) were patients with diagnosis of CVD, HF, CKD or at high CV risk. Each participant could potentially have multiple diagnoses simultaneously.

The data presented for this outcome is an retrospective analysis of electronic healthcare records of the Tianjin regional data base. Participants with diagnoses of interest were identified by International Classification of Disease (ICD) code.

In- and outpatients in 2019 with and without diabetes and with and without diagnosis of risk factors CVD, HF, CKD, and high CV risk. For this outcome, inpatients results [Arm A, B, C, D] are reported separately per arm and in- and outpatients results [All in-and outpatients] are reported over all in- and outpatients and over all arms in 2019. Only patients with available data for this outcome were included in this analysis.

Inpatients with diabetes, and without diagnosis of risk factors CVD, HF, CKD or at high CV risk identified in the Tianjin regional medical database in 2015.

Inpatients without diabetes, and with diagnosis of risk factors CVD, HF, CKD or at high CV risk identified in the Tianjin regional medical database in 2015.

Inpatients without diabetes, and without diagnosis of risk factors CVD, HF, CKD or at high CV risk identified in the Tianjin regional medical database in 2015.

This arm combines all inpatients from arms A, B, C, and D, as well as all outpatients identified in the Tianjin regional medical database in 2015. This arm takes into account all cases of both inpatients and outpatients, with and without diabetes, and with or without a diagnosis of risk factors for cardiovascular disease (CVD), heart failure (HF), chronic kidney disease (CKD), or those at high cardiovascular risk, as identified in the Tianjin regional medical database in 2015.

Inpatients with diabetes, and with diagnosis of risk factors cardiovascular disease (CVD), heart failure (HF), chronic kidney disease (CKD) or at high cardiovascular (CV) risk identified in the Tianjin regional medical database in 2017.

Inpatients with diabetes, and without diagnosis of risk factors CVD, HF, CKD or at high CV risk identified in the Tianjin regional medical database in 2017.

Inpatients without diabetes, and with diagnosis of risk factors CVD, HF, CKD or at high CV risk identified in the Tianjin regional medical database in 2017.

Inpatients without diabetes, and without diagnosis of risk factors CVD, HF, CKD or at high CV risk identified in the Tianjin regional medical database in 2017.

This arm combines all inpatients from arms A, B, C, and D, as well as all outpatients identified in the Tianjin regional medical database in 2017. This arm takes into account all cases of both inpatients and outpatients, with and without diabetes, and with or without a diagnosis of risk factors for cardiovascular disease (CVD), heart failure (HF), chronic kidney disease (CKD), or those at high cardiovascular risk, as identified in the Tianjin regional medical database in 2017.

Inpatients with diabetes, and with diagnosis of risk factors cardiovascular disease (CVD), heart failure (HF), chronic kidney disease (CKD) or at high cardiovascular (CV) risk identified in the Tianjin regional medical database in 2019.

Inpatients with diabetes, and without diagnosis of risk factors CVD, HF, CKD or at high CV risk identified in the Tianjin regional medical database in 2019.

Inpatients without diabetes, and with diagnosis of risk factors CVD, HF, CKD or at high CV risk identified in the Tianjin regional medical database in 2019.

Inpatients without diabetes, and without diagnosis of risk factors CVD, HF, CKD or at high CV risk identified in the Tianjin regional medical database in 2019.

This arm combines all inpatients from arms A, B, C, and D, as well as all outpatients identified in the Tianjin regional medical database in 2019. This arm takes into account all cases of both inpatients and outpatients, with and without diabetes, and with or without a diagnosis of risk factors for cardiovascular disease (CVD), heart failure (HF), chronic kidney disease (CKD), or those at high cardiovascular risk, as identified in the Tianjin regional medical database in 2019.