Table 1.
Baseline Characteristics of Patients Undergoing Surgical Aortic Valve Replacement Between 2012 and 2015, Stratified by TAVR‐Center Status
| TAVR Center 22 066 (69%) | Non‐TAVR Center 10 132 (31%) | |
|---|---|---|
| Age, y, mean (SD) | 70 (9.6) | 70 (9.5) |
| Men, n (%) | 12 786 (58) | 5734 (57) |
| CCI, mean (SD) | 1.4 (1.4) | 1.3 (1.4) |
| CCI components, n (%) | ||
| Prior MI | 637 (3) | 246 (2) |
| Congestive heart failure | 6182 (28) | 2568 (25) |
| Peripheral vascular disease | 4236 (19) | 1491 (15) |
| Cerebrovascular disease | 333 (2) | 144 (1) |
| Dementia | 23 (<1) | 16 (<1) |
| COPD | 4402 (20) | 2063 (20) |
| Rheumatologic disease | 641 (3) | 301 (3) |
| Peptic ulcer disease | 26 (<1) | <11 |
| Diabetes mellitusa | 5954 (27) | 2958 (29) |
| Renal disease | 3077 (14) | 1137 (13) |
| Hemiplegia or paraplegia | 159 (1) | 50 (<1) |
| Cancerb | 548 (2) | 236 (2) |
| Liver diseasec | 202 (1) | 85 (1) |
| HIV/AIDS | 25 (<1) | <11 |
| Primary insurance, n (%) | ||
| Medicaid/Medicare | 15 477 (70) | 7196 (71) |
| Private | 6038 (27) | 2664 (26) |
| Other/self‐pay | 512 (2) | 243 (2) |
| Median household income,d n (%) | ||
| Low | 3718 (17) | 2179 (22) |
| Medium | 4974 (23) | 2770 (28) |
| High | 6023 (28) | 2683 (27) |
| Highest | 7026 (32) | 2337 (23) |
| Hospital type, n (%) | ||
| Urban, non‐teaching | 3288 (15) | 4722 (47) |
| Urban, teaching | 18 689 (85) | 5080 (50) |
| Rural | 89 (<1) | 330 (3) |
| Hospital bed size,e n (%) | ||
| Small | 1088 (5) | 1012 (10) |
| Medium | 3775 (17) | 2812 (28) |
| Large | 17 203 (78) | 6308 (62) |
CCI indicates Charlson comorbidity index; COPD, chronic obstructive pulmonary disease; MI, myocardial infarction; TAVR, transcatheter aortic valve replacement.
Includes patients diagnosed with complicated and/or uncomplicated disease.
Includes patients diagnosed with a malignancy (including leukemia and lymphoma) and/or metastatic solid tumor.
Includes patients diagnosed with mild, moderate, or severe liver disease.
Estimated median household income for the patient's zip code, stratified into quartiles.
Hospital size is based on the number of hospital beds; cut points were chosen within each region and hospital type strata so that approximately one third of hospitals would appear in each category.