Table 2 Multivariate Cox proportional hazard models for the association between concomitant PTA at the time of PCI and clinical outcomes.

From: Influence of concomitant percutaneous transluminal angioplasty with percutaneous coronary intervention on clinical outcomes of stable lower extremity artery diseases

Clinical outcomes

Before PSM

After PSM

Events

Models*

Events

Models*

N = 279

N = 6284

HR (95% CI)

P value

N = 279

N = 1385

HR (95% CI)

P value

Death

73 (26.2)

919 (14.6)

1.69 (1.32–2.15)

 < 0.001

73 (26.2)

273 (19.7)

1.52 (1.17–1.98)

0.002

CV death

21 (7.5)

283 (4.5)

1.54 (0.99–2.42)

0.058

21 (7.5)

69 (5.0)

1.59 (0.97–2.59)

0.065

MACEs

79 (28.3)

1611 (25.6)

1.11 (0.89–1.40)

0.358

79 (28.3)

393 (28.4)

1.00 (0.78–1.27)

0.969

Myocardial infarction

13 (4.7)

414 (6.6)

0.87 (0.50–1.52)

0.625

13 (4.7)

80 (5.8)

0.85 (0.47–1.53)

0.591

Revascularization

49 (17.6)

962 (15.3)

1.25 (0.93–1.66)

0.136

49 (17.6)

237 (17.1)

1.09 (0.80–1.48)

0.594

Stroke

16 (5.7)

344 (5.5)

1.09 (0.66–1.81)

0.727

16 (5.7)

101 (7.3)

0.88 (0.52–1.50)

0.639

Any bleeding

9 (3.2)

209 (3.3)

0.97 (0.50–1.89)

0.920

9 (3.2)

49 (3.5)

0.91 (0.44–1.85)

0.787

ESRD

28 (10.0)

206 (3.3)

2.05 (1.37–3.06)

 < 0.001

28 (10.0)

93 (6.7)

1.60 (1.05–2.45)

0.029

Amputation

20 (7.2)

108 (1.7)

3.81 (2.36–6.16)

 < 0.001

20 (7.2)

34 (2.5)

3.41(1.96–5.92)

 < 0.001

PTA after discharge

68 (24.4)

168 (2.7)

9.27 (6.93–12.4)

 < 0.001

68 (24.4)

70 (5.1)

5.94 (4.25–8.30)

 < 0.001

  1. PSM, propensity score matching; PCI, percutaneous coronary intervention; PTA, Percutaneous transluminal angioplasty; CV cardiovascular; MACE, major adverse cardiovascular events; ESRD, endstage renal disease; HR, hazard ratio; CI, confidence interval.
  2. *The multivariate model includes age, sex, BMI, waist circumference, MI at index admission, number of coronary stents used, income ≥ median, prior bleeding events, MI, PAD, stroke, diabetes, hypertension, peptic ulcer, DAPT duration and statin use as covariates. The model was reduced using a backward selection method (cutoff criterion, p > 0.1).
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