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

Table 3 Algorithm for estimating the risk of CKD using total point values in the simple model

Risk factor	Reference value (W_ij)	β_i	β_i (W_ij-W_iREF)	Point_ij = β_i (W_ij-W_iREF)/B^a
Waist circumference, men/women (cm)		0.013
< 80/75	77.0/72.0(W_1REF)		0	0
80–84.9/75–79.9	82.5/77.5		0.072	1
85–89.9/80–84.9	87.5/82.5		0.137	2
90–94.9/85–89.9	92.5/87.5		0.202	3
≥ 95/90	99.0/95.0		0.286	4
SBP (mmHg)		0.025
< 120	110(W_2REF)		0	0
120–139	130		0.500	8
140–159	150		1.000	15
> 160	170		1.500	23
Sex		0.686
Men	1(W_3REF)		0	0
Women	2		0.686	11
Education		−0.532
Illiterate	1(W_4REF)		0	0
Primary School and above	2		−0.532	−8
Diabetes		1.042
NO	0(W_5REF)		0	0
YES	1		1.042	16

^aB = 5*0.013 = 0.065; CKD: Chronic kidney disease; SBP: systolic blood pressure

ISSN: 1471-2369