Table 4. Predictors of intradialytic hypertension based on logistic regression analysis.

Variables	Predictors	Odds ratio	95% CI	b coefficient	p
1st Model (Clinical data, LF BRS and HF BRS)	LF BRS	1.455	1.130–1.875	0.375	0.004
2nd Model (Clinical and laboratory data, LF BRS and HF BRS)	Age	1.032	1.002–1.063	0.031	0.037
	Plasma albumin	0.875	0.781–0.979	−0.134	0.020
	LF BRS	1.650	1.222–2.228	0.501	0.001
3rd Model (Clinical and laboratory data, LF IBI, HF IBI, LF SBP, HF SBP)	Albumin	0.892	0.801–0.993	−0.114	0.037
	LF IBI	1.228	1. 061–1.422	0.206	0.006
	LF SBP	0.223	0.089–0.561	−1.499	0.001

CI: confidence interval.

Variables in logistic regression models:

Clinical data: age, gender, dialysis vintage, history of intradialytic hypotension, history of hypertension, diabetes, ischemic heart disease, hyperlipidemia, anti- hypertensive medication, pre-dialysis SBP and IBI.

Laboratory data: pre-dialysis creatinine, calcium, phosphate, potassium, albumin, hemoglobin and PTH concentrations and CRP levels.

CDM measurements: pre-dialysis LF IBI, HF IBI, LF SBP, HF SBP, LF BRS and HF BRS.