Table 2:

Propensity score-matched Cox regression analysis examining the associations between dialysis access and dialysis withdrawal.

 Model 1 HR (95% CI)Model 2 HR (95% CI)Model 3 HR (95% CI)Model 4 HR (95% CI)Model 5 HR (95% CI)
HD-CVC vs HD-AVF
 0–6 months2.47 (1.98–3.08)2.37 (1.90–2.96)2.43 (1.95–3.02)2.41 (1.93–3.01)2.27 (1.75–2.95)
 >6–12 months2.04 (1.65–2.51)2.00 (1.63–2.47)2.06 (1.67–2.53)2.06 (1.67–2.54)2.00 (1.56–2.56)
 >1–3 years1.53 (1.36–1.72)1.53 (1.36–1.72)1.57 (1.40–1.76)1.57 (1.40–1.77)1.60 (1.44–1.87)
 >3 years1.00 (0.92–1.09)1.04 (0.96–1.14)1.06 (0.97–1.15)1.07 (0.98–1.16)1.07 (0.98–1.18)
HD-CVC vs PD-PDC
 0–6 months2.89 (2.22–3.74)2.70 (2.08–3.50)2.78 (2.14–3.61)2.74 (2.11–3.57)2.83 (2.05–3.91)
 >6–12 months1.90 (1.51–2.39)1.86 (1.48–2.35)1.90 (1.51–2.40)1.87 (1.48–2.36)1.81 (1.37–2.39)
 >1–3 years1.25 (1.10–1.40)1.25 (1.10–1.40)1.26 (1.12–1.42)1.25 (1.10–1.41)1.22 (1.06–1.40)
 >3 years0.88 (0.80–0.96)0.94 (0.85–1.03)0.94 (0.85–1.03)0.94 (0.85–1.03)0.93 (0.83–1.03)
HD-AVF vs PD-PDC
 0–6 months1.19 (0.87–1.63)1.18 (0.86–1.62)1.16 (0.85–1.59)1.11 (0.81–1.53)1.36 (0.92–2.01)
 >6–12 months0.93 (0.71–1.21)0.92 (0.71–1.20)0.91 (0.70–1.18)0.89 (0.68–1.17)0.92 (0.66–1.29)
 >1–3 years0.76 (0.66–0.86)0.76 (0.66–0.86)0.75 (0.66–0.85)0.73 (0.64–0.84)0.75 (0.64–0.88)
 >3 years0.90 (0.82–0.99)0.94 (0.86–1.03)0.93 (0.84–1.01)0.92 (0.83–1.01)0.93 (0.84–1.03)
 Model 1 HR (95% CI)Model 2 HR (95% CI)Model 3 HR (95% CI)Model 4 HR (95% CI)Model 5 HR (95% CI)
HD-CVC vs HD-AVF
 0–6 months2.47 (1.98–3.08)2.37 (1.90–2.96)2.43 (1.95–3.02)2.41 (1.93–3.01)2.27 (1.75–2.95)
 >6–12 months2.04 (1.65–2.51)2.00 (1.63–2.47)2.06 (1.67–2.53)2.06 (1.67–2.54)2.00 (1.56–2.56)
 >1–3 years1.53 (1.36–1.72)1.53 (1.36–1.72)1.57 (1.40–1.76)1.57 (1.40–1.77)1.60 (1.44–1.87)
 >3 years1.00 (0.92–1.09)1.04 (0.96–1.14)1.06 (0.97–1.15)1.07 (0.98–1.16)1.07 (0.98–1.18)
HD-CVC vs PD-PDC
 0–6 months2.89 (2.22–3.74)2.70 (2.08–3.50)2.78 (2.14–3.61)2.74 (2.11–3.57)2.83 (2.05–3.91)
 >6–12 months1.90 (1.51–2.39)1.86 (1.48–2.35)1.90 (1.51–2.40)1.87 (1.48–2.36)1.81 (1.37–2.39)
 >1–3 years1.25 (1.10–1.40)1.25 (1.10–1.40)1.26 (1.12–1.42)1.25 (1.10–1.41)1.22 (1.06–1.40)
 >3 years0.88 (0.80–0.96)0.94 (0.85–1.03)0.94 (0.85–1.03)0.94 (0.85–1.03)0.93 (0.83–1.03)
HD-AVF vs PD-PDC
 0–6 months1.19 (0.87–1.63)1.18 (0.86–1.62)1.16 (0.85–1.59)1.11 (0.81–1.53)1.36 (0.92–2.01)
 >6–12 months0.93 (0.71–1.21)0.92 (0.71–1.20)0.91 (0.70–1.18)0.89 (0.68–1.17)0.92 (0.66–1.29)
 >1–3 years0.76 (0.66–0.86)0.76 (0.66–0.86)0.75 (0.66–0.85)0.73 (0.64–0.84)0.75 (0.64–0.88)
 >3 years0.90 (0.82–0.99)0.94 (0.86–1.03)0.93 (0.84–1.01)0.92 (0.83–1.01)0.93 (0.84–1.03)

Model 1: univariate.

Model 2: Model 1 + non-modifiable variables (age, gender, ethnicity).

Model 3: Model 2 + medical variables [late nephrology referral, body mass index, comorbid medical conditions (coronary artery disease, cerebrovascular disease, chronic lung disease, peripheral vascular disease, cancer, diabetes mellitus, primary kidney disease)].

Model 4: Model 3 + social variables (era, geographical location, socio-economic status, Australian state at time of dialysis initiation).

Model 5: Model 4 + centre-level characteristics (transplant centre, centre size).

Final model: Model 3 (bold).

Table 2:

Propensity score-matched Cox regression analysis examining the associations between dialysis access and dialysis withdrawal.

 Model 1 HR (95% CI)Model 2 HR (95% CI)Model 3 HR (95% CI)Model 4 HR (95% CI)Model 5 HR (95% CI)
HD-CVC vs HD-AVF
 0–6 months2.47 (1.98–3.08)2.37 (1.90–2.96)2.43 (1.95–3.02)2.41 (1.93–3.01)2.27 (1.75–2.95)
 >6–12 months2.04 (1.65–2.51)2.00 (1.63–2.47)2.06 (1.67–2.53)2.06 (1.67–2.54)2.00 (1.56–2.56)
 >1–3 years1.53 (1.36–1.72)1.53 (1.36–1.72)1.57 (1.40–1.76)1.57 (1.40–1.77)1.60 (1.44–1.87)
 >3 years1.00 (0.92–1.09)1.04 (0.96–1.14)1.06 (0.97–1.15)1.07 (0.98–1.16)1.07 (0.98–1.18)
HD-CVC vs PD-PDC
 0–6 months2.89 (2.22–3.74)2.70 (2.08–3.50)2.78 (2.14–3.61)2.74 (2.11–3.57)2.83 (2.05–3.91)
 >6–12 months1.90 (1.51–2.39)1.86 (1.48–2.35)1.90 (1.51–2.40)1.87 (1.48–2.36)1.81 (1.37–2.39)
 >1–3 years1.25 (1.10–1.40)1.25 (1.10–1.40)1.26 (1.12–1.42)1.25 (1.10–1.41)1.22 (1.06–1.40)
 >3 years0.88 (0.80–0.96)0.94 (0.85–1.03)0.94 (0.85–1.03)0.94 (0.85–1.03)0.93 (0.83–1.03)
HD-AVF vs PD-PDC
 0–6 months1.19 (0.87–1.63)1.18 (0.86–1.62)1.16 (0.85–1.59)1.11 (0.81–1.53)1.36 (0.92–2.01)
 >6–12 months0.93 (0.71–1.21)0.92 (0.71–1.20)0.91 (0.70–1.18)0.89 (0.68–1.17)0.92 (0.66–1.29)
 >1–3 years0.76 (0.66–0.86)0.76 (0.66–0.86)0.75 (0.66–0.85)0.73 (0.64–0.84)0.75 (0.64–0.88)
 >3 years0.90 (0.82–0.99)0.94 (0.86–1.03)0.93 (0.84–1.01)0.92 (0.83–1.01)0.93 (0.84–1.03)
 Model 1 HR (95% CI)Model 2 HR (95% CI)Model 3 HR (95% CI)Model 4 HR (95% CI)Model 5 HR (95% CI)
HD-CVC vs HD-AVF
 0–6 months2.47 (1.98–3.08)2.37 (1.90–2.96)2.43 (1.95–3.02)2.41 (1.93–3.01)2.27 (1.75–2.95)
 >6–12 months2.04 (1.65–2.51)2.00 (1.63–2.47)2.06 (1.67–2.53)2.06 (1.67–2.54)2.00 (1.56–2.56)
 >1–3 years1.53 (1.36–1.72)1.53 (1.36–1.72)1.57 (1.40–1.76)1.57 (1.40–1.77)1.60 (1.44–1.87)
 >3 years1.00 (0.92–1.09)1.04 (0.96–1.14)1.06 (0.97–1.15)1.07 (0.98–1.16)1.07 (0.98–1.18)
HD-CVC vs PD-PDC
 0–6 months2.89 (2.22–3.74)2.70 (2.08–3.50)2.78 (2.14–3.61)2.74 (2.11–3.57)2.83 (2.05–3.91)
 >6–12 months1.90 (1.51–2.39)1.86 (1.48–2.35)1.90 (1.51–2.40)1.87 (1.48–2.36)1.81 (1.37–2.39)
 >1–3 years1.25 (1.10–1.40)1.25 (1.10–1.40)1.26 (1.12–1.42)1.25 (1.10–1.41)1.22 (1.06–1.40)
 >3 years0.88 (0.80–0.96)0.94 (0.85–1.03)0.94 (0.85–1.03)0.94 (0.85–1.03)0.93 (0.83–1.03)
HD-AVF vs PD-PDC
 0–6 months1.19 (0.87–1.63)1.18 (0.86–1.62)1.16 (0.85–1.59)1.11 (0.81–1.53)1.36 (0.92–2.01)
 >6–12 months0.93 (0.71–1.21)0.92 (0.71–1.20)0.91 (0.70–1.18)0.89 (0.68–1.17)0.92 (0.66–1.29)
 >1–3 years0.76 (0.66–0.86)0.76 (0.66–0.86)0.75 (0.66–0.85)0.73 (0.64–0.84)0.75 (0.64–0.88)
 >3 years0.90 (0.82–0.99)0.94 (0.86–1.03)0.93 (0.84–1.01)0.92 (0.83–1.01)0.93 (0.84–1.03)

Model 1: univariate.

Model 2: Model 1 + non-modifiable variables (age, gender, ethnicity).

Model 3: Model 2 + medical variables [late nephrology referral, body mass index, comorbid medical conditions (coronary artery disease, cerebrovascular disease, chronic lung disease, peripheral vascular disease, cancer, diabetes mellitus, primary kidney disease)].

Model 4: Model 3 + social variables (era, geographical location, socio-economic status, Australian state at time of dialysis initiation).

Model 5: Model 4 + centre-level characteristics (transplant centre, centre size).

Final model: Model 3 (bold).

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