ROC curves showing the AUC for each lipid index in identifying DKD; adjusted for sex, hypertension, dyslipidemia drug, body mass index, antihyperglycemic agents, and HbA1c.

<p>The AIP demonstrated the pest performance, with an AUC of 0.717, a cutoff value of 0.84, and an accuracy of 68%. ROC: Receiver operating characteristic; AUC: area under the curve; DKD: diabetic kidney disease; AC: atherogenic coefficient; TG: triglycerides; HDL-C: high-density lipoprotein c...

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Hlavní autor:	Amirhossein Yadegar (13922190) (author)
Další autoři:	Fatemeh Mohammadi (4914556) (author), Fatemeh Heydarzadeh (22385958) (author), Kiavash Mokhtarpour (22385961) (author), Sepideh Yadegar (22385964) (author), Rana Hashemi (22385967) (author), Seyed Ali Nabipoorashrafi (15268627) (author), Soghra Rabizadeh (8956359) (author), Alireza Esteghamati (7321373) (author), Manouchehr Nakhjavani (8157456) (author)
Vydáno:	2025
Témata:	Biochemistry Cell Biology Genetics Molecular Biology Biotechnology Marine Biology Cancer Science Policy Infectious Diseases Virology Chemical Sciences not elsewhere classified roc curve analysis multivariable logistic regression diabetic kidney disease detecting elevated uacr conducted involving patients assessed using rcs indices also exhibited type 2 diabetes 701 – 0 637 – 0 lipid indices aid two groups based t2d ), divided identifying reduced egfr auc values higher effective diabetes management lipid indices xlink "> study explored significantly associated potentially leading potential confounders linear associations invasive tools including ac highest specificity highest sensitivity highest aucs early detection control study c ratio best performer 79 %. 712 ]), 68 %, 60 ml
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ROC curves showing the AUC for each lipid index in identifying DKD; adjusted for sex, hypertension, dyslipidemia drug, body mass index, antihyperglycemic agents, and HbA1c.

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