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. 2019 Jan 19;8(2):e011206. doi: 10.1161/JAHA.118.011206

Table 4.

Standardized Effect of Undergoing TAVR, Compared With Undergoing SAVR, on In‐Hospital Complications, Discharge Disposition, and LOS After Valve Replacement

TAVR Patientsa SAVR Patientsb
Overall OR (95% CI)c Transapical Only OR (95% CI)c Endovascular Only OR (95% CI)c Overall OR (95% CI)c
In‐hospital complications
Permanent pacemaker implantation 1.34 (0.96, 1.85) 0.88 (0.56, 1.39) 1.43 (1.02, 1.99) 1.70 (1.30, 2.21)
Transient ischemic attack/stroke 1.10 (0.60, 1.99) 1.18 (0.54, 2.55) 1.08 (0.59, 1.98) 1.12 (0.72, 1.73)
Cardiogenic shock 0.55 (0.33, 0.92) 0.98 (0.49, 2.00) 0.47 (0.28, 0.80) 0.51 (0.30, 0.84)
Cardiac arrest 0.86 (0.46, 1.59) 0.90 (0.38, 2.11) 0.85 (0.45, 1.59) 0.90 (0.55, 1.46)
Acute kidney injury 0.55 (0.45, 0.68) 1.05 (0.78, 1.41) 0.47 (0.38, 0.59) 0.56 (0.46, 0.69)
Any bleeding 0.44 (0.37, 0.53) 0.67 (0.53, 0.86) 0.41 (0.34, 0.48) 0.46 (0.40, 0.54)
Blood transfusion 0.36 (0.30, 0.44) 0.75 (0.58, 0.97) 0.30 (0.25, 0.37) 0.40 (0.34, 0.48)
Vascular complications 1.29 (0.82, 2.03) 0.67 (0.33, 1.36) 1.41 (0.90, 2.23) 1.13 (0.78, 1.62)
Discharge dispositiond
Transfer, short term hospital 0.45 (0.15, 1.32) NA 0.46 (0.16, 1.34) 0.62 (027, 1.45)
Transfer, skilled nursing facility 0.34 (0.29, 0.41) 0.86 (0.67, 1.09) 0.28 (0.23, 0.34) 0.43 (0.36, 0.50)
Death 0.60 (0.32, 1.11) 1.24 (0.57, 2.69) 0.52 (0.28, 0.98) 0.68 (0.42, 1.11)
CIE (95% CI)c CIE (95% CI)c CIE (95% CI)c CIE (95% CI)c
LOS after AVR, days −3.29 (−3.82, −2.75) −0.59 (−1.32, 0.14) −3.79 (−4.32, −3.25) −2.82 (−3.25, −2.38)

AVR indicates aortic valve replacement; CIE, change in estimate; LOS, length of stay; NA, not analyzable; OR, odds ratio; SAVR, surgical aortic valve replacement; TAVR, transcatheter aortic valve replacement.

a

Effect of undergoing TAVR, compared with undergoing SAVR, among patients who underwent TAVR.

b

Effect of undergoing TAVR, compared with undergoing SAVR, among patients who underwent SAVR.

c

Standardized morbidity ratio (SMR) weights were calculated using admit year, sex, age, race/ethnicity, individual components of the Charlson Comorbidity Index (CCI), primary insurance type, income, hospital region, hospital type, and hospital size; age was modeled as a restricted cubic spline; weights were trimmed using 1% and 99% cut points; Confidence intervals were estimated using the standard deviation calculated from 500 non‐parametric bootstrapping samples.

d

Compared with routine/home healthcare discharge.