Development of Serum Lactate Level-Based Nomograms for Predicting Diabetic Kidney Disease in Type 2 Diabetes Mellitus Patients.
Chunxia JiangXiumei MaJiao ChenYan ZengMan GuoXiaozhen TanYuping WangPeng WangPijun YanYi LeiYang LongBetty Yuen Kwan LawYong XuPublished in: Diabetes, metabolic syndrome and obesity : targets and therapy (2024)
The serum lactate level-based nomogram models, combined with traditional risk factors, offer an effective tool for predicting DKD probability in T2DM patients. This approach holds promise for early risk assessment and tailored intervention strategies.
Keyphrases
- end stage renal disease
- risk assessment
- risk factors
- newly diagnosed
- ejection fraction
- chronic kidney disease
- randomized controlled trial
- prognostic factors
- type diabetes
- peritoneal dialysis
- adipose tissue
- patient reported outcomes
- machine learning
- metabolic syndrome
- lymph node metastasis
- artificial intelligence
- wound healing
- patient reported