The Impact of Anaemia on Outcomes, Admissions, and Costs in Patients with Chronic Kidney Disease in Two Public Nephrology Practices in Queensland: A CKD.QLD Registry Study

Table 5

Cox regression analysis of prediction of CVE by severity of anaemia, adjusting for age, gender, age, BMI, CKD stage, primary renal diagnosis, proteinuria/albuminuria, and site of recruitment.

CV events	Overall HR	value	95%	CI
Anaemia category
Nonanaemia	1.0
Mild anaemia	1.4	<0.001	1.2	1.6
Moderate & severe anaemia	1.7	<0.001	1.4	2.0
Age group
<55 Years	1.0
55–64 years	2.3	<0.001	1.7	3.0
65–74	2.5	<0.001	1.9	3.2
≥75	3.4	<0.001	2.6	4.4
Gender
Female	1.0
Male	1.2	0.01	1.0	1.4
BMI category
Underweight	1.9	0.046	1.0	3.6
Normal	1.0
Overweight	0.9	0.148	0.7	1.1
Obese	1.0	0.861	0.8	1.2
Morbid obese	1.4	0.004	1.1	1.8
CKD stage
Stage 1&2	1.0
Stage 3A	1.5	0.010	1.1	1.9
Stage 3B	1.6	<0.001	1.2	2.1
Stage 4	2.3	<0.001	1.7	2.9
Stage 5	4.5	<0.001	3.1	6.4
Primary renal diagnosis
Glomerulonephritis	1.0
Genetic renal disease	1.3	0.303	0.8	2.3
Renovascular	2.2	<.0.001	1.6	2.9
Diabetic kidney disease	2.6	<0.001	1.9	3.4
Uncertain	1.9	<0.001	1.4	2.7
Others	1.5	0.009	1.1	2.0
Proteinuria/albuminuria
Normal	1.0
Micro	0.9	0.430	0.8	1.1
Macro	1.4	<0.001	1.2	1.7
Site
Site A	1.0
Site B	1.4	<0.001	1.2	1.6