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Table 4 Algorithm for estimating the risk of CKD using total point values in the best-fit model

From: Risk scores for predicting incident chronic kidney disease among rural Chinese people: a village-based cohort study

Risk factorReference value (Wij)βiβi (Wij-WiREF)Pointij = βi (Wij-WiREF)/Ba
Urinary Albumin-to-creatinine ratio 0.017  
  < 5.02.68(W1REF) 00
 5.0–10.07.16 0.0761
  > 10.015.71 0.2224
SBP (mmHg) 0.025  
  < 120110(W2REF) 00
 120–139130 0.50010
 140–159150 1.00020
  > 160170 1.50029
CRP 0.027  
  < 1.00.40(W3REF) 00
 1–31.73 0.0361
  > 3.04.66 0.1152
Triglycerides 0.175  
  < 1.00.77(W4REF) 00
 1.0–1.71.30 0.0932
  > 1.72.26 0.2615
Sex 0.652  
 Men1(W5REF) 00
 Women2 0.652013
Education −0.516  
 Illiterate1(W6REF) 00
 Primary School or more2 −0.5160−10
Diabetes 0.923  
 NO0(W7REF) 00
 YES1 0.923018
  1. aB = 3*0.017 = 0.051; CKD Chronic kidney disease, SBP Systolic blood pressure, CRP C-reactive protein