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

Table 4 Algorithm for estimating the risk of CKD using total point values in the best-fit 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
Urinary Albumin-to-creatinine ratio		0.017
< 5.0	2.68(W_1REF)		0	0
5.0–10.0	7.16		0.076	1
> 10.0	15.71		0.222	4
SBP (mmHg)		0.025
< 120	110(W_2REF)		0	0
120–139	130		0.500	10
140–159	150		1.000	20
> 160	170		1.500	29
CRP		0.027
< 1.0	0.40(W_3REF)		0	0
1–3	1.73		0.036	1
> 3.0	4.66		0.115	2
Triglycerides		0.175
< 1.0	0.77(W_4REF)		0	0
1.0–1.7	1.30		0.093	2
> 1.7	2.26		0.261	5
Sex		0.652
Men	1(W_5REF)		0	0
Women	2		0.6520	13
Education		−0.516
Illiterate	1(W_6REF)		0	0
Primary School or more	2		−0.5160	−10
Diabetes		0.923
NO	0(W_7REF)		0	0
YES	1		0.9230	18

^aB = 3*0.017 = 0.051; CKD Chronic kidney disease, SBP Systolic blood pressure, CRP C-reactive protein

ISSN: 1471-2369