TY - JOUR
T1 - Kidney Disease
T2 - Improving Global Outcomes Summit Recommendations on Implementation of Diabetes Management in CKD: From Primary to Data-Driven Collaborative Care
AU - Li, Philip Kam Tao
AU - Cheung, Michael
AU - Chow, Kai Ming
AU - Leung, Maria Kwan Wa
AU - Lim, Lee Ling
AU - Lui, Juliana N.M.
AU - Luk, Andrea O.Y.
AU - Manski-Nankervis, Jo Anne
AU - Seidu, Samuel
AU - Tandon, Nikhil
AU - Liew, Adrian
AU - Lin, Peter
AU - Pang, Fei Chau
AU - Tian, Na
AU - Ueki, Kohjiro
AU - Wong, Martin C.S.
AU - Zoungas, Sophia
AU - Loo, Kit Man
AU - Chung, Kin Lai
AU - Hung, Victor Hin Fai
AU - Vu, Huyen Thi Thanh
AU - Lee, Maggie
AU - Sung, Junne Ming
AU - Szeto, Cheuk Chun
AU - Tsang, Man Wo
AU - Wong, Sunny
AU - Ng, Jack Kit Chung
AU - Chung, Harriet
AU - Tang, Sydney C.W.
AU - Kung, Kenny
AU - Lui, Sing Leung
AU - Chao, David V.K.
AU - Cyzewski, Coral
AU - Green, Tanya
AU - Chan, Juliana C.N.
N1 - Publisher Copyright:
© 2025
PY - 2025/8
Y1 - 2025/8
N2 - Type 2 diabetes and chronic kidney disease (CKD) are preventable and treatable. Their silent and progressive clinical course calls for structured assessment with timely feedback to patients and care providers for activating decision-making. Apart from CKD, patients with diabetes can have complications affecting multiple organs, notably the cardiovascular system, eyes, and feet. International practice guidelines recommend annual assessment of the eyes, feet, blood, and urine to detect silent complications and measure cardiovascular-kidney-metabolic (CKM) risk factors to ensure early intervention, including treatment to multiple targets and use of organ-protective drugs. In this report, we highlight the barriers and gaps in the implementation of practice guidelines in managing diabetes in CKD with proposed solutions to overcome such barriers. By improving the practice environment and workflow, nurses can be trained to perform protocol-guided evaluation under medical supervision. The systematic data collection enables physicians to make timely decisions, including drug prescriptions and referrals to other specialists to promote collaborative care, whereas nurses can use the personalized data to empower patient self-management and improve health literacy. This ongoing data collection will form a register to align payers, providers, and patients in delivering data-driven and value-based care with the creation of real-world evidence to verify treatment effectiveness and identify care gaps while providing on-the-job training. When accompanied by a biobank, the ongoing collection and analysis of this multidimensional data will refine diagnosis, classification, prognosis, and treatment in pursuit of precision medicine.
AB - Type 2 diabetes and chronic kidney disease (CKD) are preventable and treatable. Their silent and progressive clinical course calls for structured assessment with timely feedback to patients and care providers for activating decision-making. Apart from CKD, patients with diabetes can have complications affecting multiple organs, notably the cardiovascular system, eyes, and feet. International practice guidelines recommend annual assessment of the eyes, feet, blood, and urine to detect silent complications and measure cardiovascular-kidney-metabolic (CKM) risk factors to ensure early intervention, including treatment to multiple targets and use of organ-protective drugs. In this report, we highlight the barriers and gaps in the implementation of practice guidelines in managing diabetes in CKD with proposed solutions to overcome such barriers. By improving the practice environment and workflow, nurses can be trained to perform protocol-guided evaluation under medical supervision. The systematic data collection enables physicians to make timely decisions, including drug prescriptions and referrals to other specialists to promote collaborative care, whereas nurses can use the personalized data to empower patient self-management and improve health literacy. This ongoing data collection will form a register to align payers, providers, and patients in delivering data-driven and value-based care with the creation of real-world evidence to verify treatment effectiveness and identify care gaps while providing on-the-job training. When accompanied by a biobank, the ongoing collection and analysis of this multidimensional data will refine diagnosis, classification, prognosis, and treatment in pursuit of precision medicine.
UR - https://www.scopus.com/pages/publications/105011991627
UR - https://www.scopus.com/pages/publications/105011991627#tab=citedBy
U2 - 10.1016/j.ekir.2025.06.010
DO - 10.1016/j.ekir.2025.06.010
M3 - Article
AN - SCOPUS:105011991627
SN - 2468-0249
VL - 10
SP - 2551
EP - 2565
JO - Kidney International Reports
JF - Kidney International Reports
IS - 8
ER -