Journal of Hebei Medical University

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SUDOSCAN technology to screen kidney disease in patients with type 2 diabetes

  

  1. SUDOSCAN technology to screen kidney disease in patients with type 2 diabetes
  • Online:2016-05-25 Published:2016-05-20

Abstract: [
Abstract ] Objective ToexplorethefeasibilityandaccuracyofSUDOSCANinscreening
kidneydiseaseinpatientswithtype2diabetesmellitus ( T2DM ) .Methods Twohundredand
ninety-sevenpatientswithT2DM wererecruitedinourstudy.Thepatientsweredividedintothe
normalkidneyfunctiongroup ( controlgroup ) anddiabetickidneydisease ( DKD ) groupaccording
toestimatedglomerularfiltrationrate ( eGFR ) andurinaryalbumintocreatinineratio ( UACR )Results Serum creatinine ( SCr ), Bloodureanitrogen ( BUN ), UACRin DKD group were
significantlyhigherthancontrolgroupandeGFRwassignificantlylowerthancontrolgroup ( P <
0.05 ) .Therewerenostatisticaldifferencesintotalcholesterol ( TC ), triglyceride ( TG ), low-
densitylipoprotein cholesterol ( LDL-C ) and high-densitylipoprotein cholesterol ( HDL-C )
betweenthetwogroups ( P >0.05 ) .HESC , FESCandSUDOSCAN-MDRDinDKDgroupwere
significantlylowerthancontrolgroup ( P <0.05 ) .HESC wasnegativelycorrelatedwithage ,
diseasedurationand HbA 1 c , butwaspositivelycorrelatedwitheGFR ( P <0.05 ) .FESC was
negativelycorrelatedwithage , diseaseduration , systolicbloodpressure ( SBP ) andHbA 1 c , but
waspositivelycorrelatedwitheGFR ( P <0.05 ) .SUDOSCAN-MDRD wasnegativelycorrelated
withage , diseaseduration , SBPandBUN , butwaspositivelycorrelatedwitheGFR ( P <0.05 ) .
PredictingkidneydiseasewithSUDOSCAN-MDRD wasbetterthanotherindicators.Thebest
cut-offvalueofSUDOSCAN-MDRD was57.50uSi.TheareaunderthecurveforDKD was
67.7%.Thesensitivitywas60.0% , thespecificitywas75.0% , accuracywas68.7% , positive
predictivevaluewas63.6%andnegativepredictivevaluewas72.1%.Conclusion SUDOSCAN
indexeswerecorrelatedwithkidneydamageandmaybeusedforearlyriskscreeningforDKD
amongT2DMpatients

Key words: diabetesmellitus, type2 , diabeticnephropathies , glomerularfiltrationrate