To define the contribution of chronic kidney disease (CKD) to excess mortality in patients with type 2 diabetes and identify the baseline variables associated with all-cause death in those with and without CKD using the RECursive Partitioning and Amalgamation (RECPAM) method.


 At RECPAM analysis, the main correlates of death in the whole cohort were albuminuria > 44 mg day-1, prevalent CVD, and eGFR < ~ 75 mL min-1·1.73 m-2; gender, prevalent CVD, and higher albuminuria in the normoalbuminuric range, in patients without CKD; and CVD, eGFR ~ < 50 mL min-1·1.73 m-2, and albuminuria > 53 mg day-1, in those with CKD.



RECPAM
To define the contribution of chronic kidney disease (CKD) to excess mortality in patients with type 2 diabetes and identify the baseline variables associated with all-cause death in those with and without CKD using the RECursive Partitioning and Amalgamation (RECPAM) method.



SAS
To define the contribution of chronic kidney disease (CKD) to excess mortality in patients with type 2 diabetes and identify the baseline variables associated with all-cause death in those with and without CKD using the RECursive Partitioning and Amalgamation (RECPAM) method.



SAS
To define the contribution of chronic kidney disease (CKD) to excess mortality in patients with type 2 diabetes and identify the baseline variables associated with all-cause death in those with and without CKD using the RECursive Partitioning and Amalgamation (RECPAM) method.



SAS
To define the contribution of chronic kidney disease (CKD) to excess mortality in patients with type 2 diabetes and identify the baseline variables associated with all-cause death in those with and without CKD using the RECursive Partitioning and Amalgamation (RECPAM) method.



SAS