Table 2.
Simple and multivariable linear regression of the association between quartiles of skeletal mass index (cm2/m2) and KCCQ at 1 year post-TAVR
| KCCQ Model 1* |
β Coefficient | SD | t | P>|t| | 95% CI | |
|---|---|---|---|---|---|---|
| Q1 | Ref | – | – | – | – | – |
| Q2 | −8.318024 | 6.012576 | −1.38 | .169 | −20.23725 | 3.601206 |
| Q3 | 1.476674 | 6.163706 | 0.24 | .811 | −10.74215 | 13.6955 |
| Q4 | 9.274805 | 6.951419 | 1.33 | .185 | −4.505573 | 23.05518 |
| Model 2† | ||||||
| Q1 | Ref | – | – | – | – | – |
| Q2 | −4.616871 | 6.110662 | −0.76 | .452 | −16.73454 | 7.500802 |
| Q3 | 6.983177 | 6.70859 | 1.04 | .300 | −6.320209 | 20.28656 |
| Q4 | 18.81687 | 8.028083 | 2.34 | .021 | 2.896883 | 34.73686 |
| Model 3‡ | ||||||
| Q1 | Ref | – | – | – | – | – |
| Q2 | −4.176543 | 6.230354 | −0.67 | .504 | −16.53298 | 8.179894 |
| Q3 | 7.912338 | 7.113436 | 1.11 | .269 | −6.195484 | 22.02016 |
| Q4 | 20.39908 | 8.952165 | 2.28 | .025 | 2.644569 | 38.15358 |
| Model 4§ | ||||||
| Q1 | Ref | – | – | – | – | – |
| Q2 | −3.918549 | 6.247991 | −0.63 | .532 | −16.31141 | 8.474312 |
| Q3 | 8.35313 | 7.144687 | 1.17 | .245 | −5.818324 | 22.52458 |
| Q4 | 22.49985 | 9.322309 | 2.41 | .018 | 4.009091 | 40.9906 |
| Model 5∥ | ||||||
| Q1 | Ref | – | – | – | – | – |
| Q2 | −.5522827 | 6.44249 | −0.09 | .932 | −13.33884 | 12.23428 |
| Q3 | 9.85715 | 7.39358 | 1.33 | .186 | −4.817058 | 24.53136 |
| Q4 | 22.66924 | 9.464635 | 2.40 | .019 | 3.884557 | 41.45392 |
*
Model 1: simple linear regression; Q1 is the reference group; Q1 is the quartile with lowest skeletal muscle index.
†
Model 2: adjusted for age, gender, and race.
‡
Model 3: adjusted for variables in model 2 + BMI
§
Model 4: adjusted for variables in model 3 + total adipose tissue.
∥
Model 5: adjusted for variables in model 4 + hypertension, dyslipidemia, diabetes, and prior stroke.