1 Any_STS
Characteristic |
N |
Any_STS Univariate logistic regression **
|
OR |
95% CI |
p-value |
Age |
166 |
0.98 |
0.95, 1.02 |
0.308 |
Gender |
166 |
|
|
|
Female |
|
— |
— |
|
Male |
|
1.44 |
0.52, 4.67 |
0.504 |
Race |
166 |
|
|
|
White |
|
— |
— |
|
Non-White |
|
1.73 |
0.54, 7.74 |
0.405 |
Uremic_vs_Nonuremic |
166 |
|
|
|
0 |
|
— |
— |
|
1 |
|
5.60 |
2.07, 16.9 |
0.001 |
Any_STS multivariate logistic regression Model
Characteristic |
**Any_STS mutilvariate logistic regression **
|
OR |
95% CI |
p-value |
Uremic_vs_Nonuremic |
|
|
|
0 |
— |
— |
|
1 |
5.62 |
2.03, 17.3 |
0.001 |
Age |
0.98 |
0.94, 1.02 |
0.273 |
Gender |
|
|
|
Female |
— |
— |
|
Male |
1.16 |
0.39, 3.96 |
0.794 |
Race |
|
|
|
White |
— |
— |
|
Non-White |
1.14 |
0.31, 5.43 |
0.853 |
2 Intravenous_STS
Characteristic |
N |
Intravenous_STS Univariate logistic regression **
|
OR |
95% CI |
p-value |
Age |
166 |
0.97 |
0.94, 1.00 |
0.079 |
Gender |
166 |
|
|
|
Female |
|
— |
— |
|
Male |
|
1.33 |
0.54, 3.61 |
0.555 |
Race |
166 |
|
|
|
White |
|
— |
— |
|
Non-White |
|
2.51 |
0.81, 11.1 |
0.153 |
Uremic_vs_Nonuremic |
166 |
|
|
|
0 |
|
— |
— |
|
1 |
|
5.97 |
2.45, 15.7 |
<0.001 |
Intravenous_STS multivariate logistic regression Model
Characteristic |
**Intravenous_STS mutilvariate logistic regression **
|
OR |
95% CI |
p-value |
Uremic_vs_Nonuremic |
|
|
|
0 |
— |
— |
|
1 |
6.17 |
2.45, 16.8 |
<0.001 |
Age |
0.97 |
0.93, 1.00 |
0.075 |
Gender |
|
|
|
Female |
— |
— |
|
Male |
1.08 |
0.40, 3.16 |
0.885 |
Race |
|
|
|
White |
— |
— |
|
Non-White |
1.58 |
0.45, 7.42 |
0.504 |
3 Intraperitoneal_STS
##
## 0 1
## 0 54 111
## 1 0 1
4 Intralesional_STS
Characteristic |
N |
Intralesional_STS Univariate logistic regression **
|
OR |
95% CI |
p-value |
Age |
166 |
1.01 |
0.98, 1.04 |
0.507 |
Gender |
166 |
|
|
|
Female |
|
— |
— |
|
Male |
|
0.81 |
0.34, 1.79 |
0.606 |
Race |
166 |
|
|
|
White |
|
— |
— |
|
Non-White |
|
0.81 |
0.30, 1.95 |
0.654 |
Uremic_vs_Nonuremic |
166 |
|
|
|
0 |
|
— |
— |
|
1 |
|
0.62 |
0.29, 1.37 |
0.230 |
Intralesional_STS multivariate logistic regression Model
Characteristic |
**Intralesional_STS mutilvariate logistic regression **
|
OR |
95% CI |
p-value |
Uremic_vs_Nonuremic |
|
|
|
0 |
— |
— |
|
1 |
0.63 |
0.29, 1.42 |
0.257 |
Age |
1.01 |
0.98, 1.04 |
0.527 |
Gender |
|
|
|
Female |
— |
— |
|
Male |
0.87 |
0.36, 1.95 |
0.733 |
Race |
|
|
|
White |
— |
— |
|
Non-White |
0.94 |
0.34, 2.37 |
0.893 |
5 Topical_Ointment_STS
Characteristic |
N |
Topical_Ointment_STS Univariate logistic regression **
|
OR |
95% CI |
p-value |
Age |
166 |
0.99 |
0.94, 1.03 |
0.588 |
Gender |
166 |
|
|
|
Female |
|
— |
— |
|
Male |
|
1.17 |
0.29, 4.04 |
0.814 |
Race |
166 |
|
|
|
White |
|
— |
— |
|
Non-White |
|
1.24 |
0.26, 4.54 |
0.760 |
Uremic_vs_Nonuremic |
166 |
|
|
|
0 |
|
— |
— |
|
1 |
|
5.20 |
0.96, 96.6 |
0.121 |
Topical_Ointment_STS multivariate logistic regression Model
Characteristic |
**Topical_Ointment_STS mutilvariate logistic regression **
|
OR |
95% CI |
p-value |
Uremic_vs_Nonuremic |
|
|
|
0 |
— |
— |
|
1 |
5.38 |
0.96, 101 |
0.117 |
Age |
0.99 |
0.94, 1.03 |
0.541 |
Gender |
|
|
|
Female |
— |
— |
|
Male |
0.96 |
0.24, 3.42 |
0.954 |
Race |
|
|
|
White |
— |
— |
|
Non-White |
0.92 |
0.18, 3.65 |
0.907 |
6 Vitamin_K
##
## White Non-White
## 0 95 19
## 1 32 20
Characteristic |
N |
Vitamin_K Univariate logistic regression **
|
OR |
95% CI |
p-value |
Age |
166 |
0.97 |
0.95, 1.00 |
0.032 |
Gender |
166 |
|
|
|
Female |
|
— |
— |
|
Male |
|
0.97 |
0.48, 1.94 |
0.935 |
Race |
166 |
|
|
|
White |
|
— |
— |
|
Non-White |
|
3.13 |
1.49, 6.64 |
0.003 |
Uremic_vs_Nonuremic |
166 |
|
|
|
0 |
|
— |
— |
|
1 |
|
0.87 |
0.44, 1.77 |
0.699 |
Vitamin_K multivariate logistic regression Model
Characteristic |
**Vitamin_K mutilvariate logistic regression **
|
OR |
95% CI |
p-value |
Uremic_vs_Nonuremic |
|
|
|
0 |
— |
— |
|
1 |
0.75 |
0.36, 1.59 |
0.448 |
Age |
0.98 |
0.96, 1.01 |
0.146 |
Gender |
|
|
|
Female |
— |
— |
|
Male |
0.99 |
0.47, 2.04 |
0.971 |
Race |
|
|
|
White |
— |
— |
|
Non-White |
2.88 |
1.32, 6.36 |
0.008 |
7 Cinacalcet
Characteristic |
N |
Cinacalcet Univariate logistic regression **
|
OR |
95% CI |
p-value |
Age |
166 |
0.99 |
0.97, 1.02 |
0.619 |
Gender |
166 |
|
|
|
Female |
|
— |
— |
|
Male |
|
1.53 |
0.79, 2.95 |
0.203 |
Race |
166 |
|
|
|
White |
|
— |
— |
|
Non-White |
|
1.56 |
0.76, 3.23 |
0.226 |
Uremic_vs_Nonuremic |
166 |
|
|
|
0 |
|
— |
— |
|
1 |
|
7.75 |
3.40, 20.1 |
<0.001 |
Cinacalcet multivariate logistic regression Model
Characteristic |
**Cinacalcet mutilvariate logistic regression **
|
OR |
95% CI |
p-value |
Uremic_vs_Nonuremic |
|
|
|
0 |
— |
— |
|
1 |
7.48 |
3.24, 19.6 |
<0.001 |
Age |
0.99 |
0.97, 1.02 |
0.607 |
Gender |
|
|
|
Female |
— |
— |
|
Male |
1.24 |
0.61, 2.54 |
0.548 |
Race |
|
|
|
White |
— |
— |
|
Non-White |
1.16 |
0.51, 2.63 |
0.713 |
8 Bisphosphonate
Characteristic |
N |
Bisphosphonate Univariate logistic regression **
|
OR |
95% CI |
p-value |
Age |
166 |
1.00 |
0.96, 1.03 |
0.876 |
Gender |
166 |
|
|
|
Female |
|
— |
— |
|
Male |
|
0.32 |
0.07, 1.00 |
0.079 |
Race |
166 |
|
|
|
White |
|
— |
— |
|
Non-White |
|
1.92 |
0.67, 5.10 |
0.201 |
Uremic_vs_Nonuremic |
166 |
|
|
|
0 |
|
— |
— |
|
1 |
|
0.69 |
0.27, 1.87 |
0.449 |
Bisphosphonate multivariate logistic regression Model
Characteristic |
**Bisphosphonate mutilvariate logistic regression **
|
OR |
95% CI |
p-value |
Uremic_vs_Nonuremic |
|
|
|
0 |
— |
— |
|
1 |
0.71 |
0.26, 1.98 |
0.497 |
Age |
1.00 |
0.97, 1.04 |
0.886 |
Gender |
|
|
|
Female |
— |
— |
|
Male |
0.33 |
0.07, 1.07 |
0.096 |
Race |
|
|
|
White |
— |
— |
|
Non-White |
2.09 |
0.69, 6.02 |
0.176 |
9 Parathyroidectomy
Characteristic |
N |
Parathyroidectomy Univariate logistic regression **
|
OR |
95% CI |
p-value |
Age |
163 |
0.96 |
0.92, 1.00 |
0.035 |
Gender |
163 |
|
|
|
Female |
|
— |
— |
|
Male |
|
0.27 |
0.04, 1.01 |
0.090 |
Race |
163 |
|
|
|
White |
|
— |
— |
|
Non-White |
|
2.80 |
0.93, 8.09 |
0.058 |
Uremic_vs_Nonuremic |
163 |
|
|
|
0 |
|
— |
— |
|
1 |
|
3.61 |
0.96, 23.6 |
0.098 |
Parathyroidectomy multivariate logistic regression Model
Characteristic |
**Parathyroidectomy mutilvariate logistic regression **
|
OR |
95% CI |
p-value |
Uremic_vs_Nonuremic |
|
|
|
0 |
— |
— |
|
1 |
4.70 |
1.16, 32.0 |
0.055 |
Age |
0.96 |
0.92, 1.00 |
0.046 |
Gender |
|
|
|
Female |
— |
— |
|
Male |
0.19 |
0.03, 0.75 |
0.037 |
Race |
|
|
|
White |
— |
— |
|
Non-White |
1.88 |
0.56, 6.01 |
0.290 |
10 Alive_After_One_Year
Characteristic |
N |
Alive_After_One_Year Univariate logistic regression **
|
OR |
95% CI |
p-value |
Age |
166 |
0.98 |
0.95, 1.01 |
0.147 |
Gender |
166 |
|
|
|
Female |
|
— |
— |
|
Male |
|
1.48 |
0.69, 3.35 |
0.325 |
Race |
166 |
|
|
|
White |
|
— |
— |
|
Non-White |
|
1.12 |
0.50, 2.74 |
0.788 |
Uremic_vs_Nonuremic |
166 |
|
|
|
0 |
|
— |
— |
|
1 |
|
1.27 |
0.60, 2.65 |
0.523 |
Alive_After_One_Year multivariate logistic regression Model
Characteristic |
**Alive_After_One_Year mutilvariate logistic regression **
|
OR |
95% CI |
p-value |
Uremic_vs_Nonuremic |
|
|
|
0 |
— |
— |
|
1 |
1.26 |
0.58, 2.67 |
0.553 |
Age |
0.98 |
0.95, 1.01 |
0.154 |
Gender |
|
|
|
Female |
— |
— |
|
Male |
1.40 |
0.65, 3.21 |
0.401 |
Race |
|
|
|
White |
— |
— |
|
Non-White |
0.93 |
0.39, 2.34 |
0.866 |
11 Amputation_After_One_Year
Characteristic |
N |
Amputation_After_One_Year Univariate logistic regression **
|
OR |
95% CI |
p-value |
Age |
166 |
0.96 |
0.93, 1.00 |
0.027 |
Gender |
166 |
|
|
|
Female |
|
— |
— |
|
Male |
|
3.87 |
1.57, 9.96 |
0.004 |
Race |
166 |
|
|
|
White |
|
— |
— |
|
Non-White |
|
2.42 |
0.93, 6.08 |
0.062 |
Uremic_vs_Nonuremic |
166 |
|
|
|
0 |
|
— |
— |
|
1 |
|
2.55 |
0.90, 9.17 |
0.104 |
Characteristic |
**Amputation_After_One_Year mutilvariate logistic regression **
|
OR |
95% CI |
p-value |
Uremic_vs_Nonuremic |
|
|
|
0 |
— |
— |
|
1 |
1.92 |
0.62, 7.27 |
0.285 |
Age |
0.97 |
0.93, 1.00 |
0.068 |
Gender |
|
|
|
Female |
— |
— |
|
Male |
3.63 |
1.42, 9.76 |
0.008 |
Race |
|
|
|
White |
— |
— |
|
Non-White |
1.82 |
0.63, 5.04 |
0.255 |
12 Hospitalization_After_One_Year
Characteristic |
N |
Hospitalization_After_One_Year Univariate logistic regression **
|
OR |
95% CI |
p-value |
Age |
166 |
0.97 |
0.94, 1.00 |
0.032 |
Gender |
166 |
|
|
|
Female |
|
— |
— |
|
Male |
|
1.37 |
0.58, 3.51 |
0.486 |
Race |
166 |
|
|
|
White |
|
— |
— |
|
Non-White |
|
2.14 |
0.77, 7.66 |
0.183 |
Uremic_vs_Nonuremic |
166 |
|
|
|
0 |
|
— |
— |
|
1 |
|
1.11 |
0.46, 2.55 |
0.805 |
Characteristic |
**Hospitalization_After_One_Year mutilvariate logistic regression **
|
OR |
95% CI |
p-value |
Uremic_vs_Nonuremic |
|
|
|
0 |
— |
— |
|
1 |
1.06 |
0.43, 2.50 |
0.892 |
Age |
0.97 |
0.94, 1.00 |
0.064 |
Gender |
|
|
|
Female |
— |
— |
|
Male |
1.31 |
0.54, 3.40 |
0.563 |
Race |
|
|
|
White |
— |
— |
|
Non-White |
1.69 |
0.57, 6.21 |
0.378 |
13 Alive_After_One_Year
Characteristic |
N |
Alive_After_One_Year Univariate logistic regression **
|
OR |
95% CI |
p-value |
Age |
166 |
0.98 |
0.95, 1.01 |
0.147 |
Gender |
166 |
|
|
|
Female |
|
— |
— |
|
Male |
|
1.48 |
0.69, 3.35 |
0.325 |
Race |
166 |
|
|
|
White |
|
— |
— |
|
Non-White |
|
1.12 |
0.50, 2.74 |
0.788 |
Uremic_vs_Nonuremic |
166 |
|
|
|
0 |
|
— |
— |
|
1 |
|
1.27 |
0.60, 2.65 |
0.523 |
Diabetes_Mellitus |
166 |
|
|
|
No |
|
— |
— |
|
Yes |
|
2.37 |
1.13, 4.98 |
0.022 |
Congestive_Heart_Failure |
166 |
|
|
|
No |
|
— |
— |
|
Yes |
|
0.75 |
0.37, 1.52 |
0.422 |
Coronary_Artery_Disease |
166 |
|
|
|
No |
|
— |
— |
|
Yes |
|
1.19 |
0.58, 2.52 |
0.633 |
Hypertension |
166 |
|
|
|
No |
|
— |
— |
|
Yes |
|
1.19 |
0.58, 2.48 |
0.639 |
Characteristic |
**Alive_After_One_Year mutilvariate logistic regression **
|
OR |
95% CI |
p-value |
Uremic_vs_Nonuremic |
|
|
|
0 |
— |
— |
|
1 |
1.13 |
0.50, 2.49 |
0.768 |
Age |
0.97 |
0.94, 1.00 |
0.060 |
Gender |
|
|
|
Female |
— |
— |
|
Male |
1.18 |
0.51, 2.84 |
0.711 |
Race |
|
|
|
White |
— |
— |
|
Non-White |
0.77 |
0.30, 2.06 |
0.592 |
Diabetes_Mellitus |
|
|
|
No |
— |
— |
|
Yes |
2.59 |
1.17, 5.76 |
0.018 |
Congestive_Heart_Failure |
|
|
|
No |
— |
— |
|
Yes |
0.68 |
0.30, 1.51 |
0.345 |
Coronary_Artery_Disease |
|
|
|
No |
— |
— |
|
Yes |
1.49 |
0.66, 3.50 |
0.349 |
Hypertension |
|
|
|
No |
— |
— |
|
Yes |
1.07 |
0.47, 2.48 |
0.879 |
14 Amputation_After_One_Year
Characteristic |
N |
Amputation_After_One_Year Univariate logistic regression **
|
OR |
95% CI |
p-value |
Age |
166 |
0.96 |
0.93, 1.00 |
0.027 |
Gender |
166 |
|
|
|
Female |
|
— |
— |
|
Male |
|
3.87 |
1.57, 9.96 |
0.004 |
Race |
166 |
|
|
|
White |
|
— |
— |
|
Non-White |
|
2.42 |
0.93, 6.08 |
0.062 |
Uremic_vs_Nonuremic |
166 |
|
|
|
0 |
|
— |
— |
|
1 |
|
2.55 |
0.90, 9.17 |
0.104 |
Diabetes_Mellitus |
166 |
|
|
|
No |
|
— |
— |
|
Yes |
|
2.18 |
0.77, 7.85 |
0.178 |
Congestive_Heart_Failure |
166 |
|
|
|
No |
|
— |
— |
|
Yes |
|
1.00 |
0.40, 2.44 |
0.991 |
Coronary_Artery_Disease |
166 |
|
|
|
No |
|
— |
— |
|
Yes |
|
1.80 |
0.74, 4.42 |
0.194 |
Hypertension |
166 |
|
|
|
No |
|
— |
— |
|
Yes |
|
3.00 |
1.22, 7.89 |
0.020 |
History_of_Warfarin_Use |
166 |
|
|
|
No |
|
— |
— |
|
Yes |
|
1.04 |
0.42, 2.52 |
0.931 |
Any_STS |
166 |
|
|
|
0 |
|
— |
— |
|
1 |
|
0.56 |
0.18, 2.11 |
0.340 |
Characteristic |
**Amputation_After_One_Year mutilvariate logistic regression **
|
OR |
95% CI |
p-value |
Uremic_vs_Nonuremic |
|
|
|
0 |
— |
— |
|
1 |
2.10 |
0.55, 10.1 |
0.309 |
Age |
0.96 |
0.91, 0.99 |
0.030 |
Gender |
|
|
|
Female |
— |
— |
|
Male |
2.64 |
0.93, 7.76 |
0.071 |
Race |
|
|
|
White |
— |
— |
|
Non-White |
1.70 |
0.58, 4.84 |
0.320 |
Diabetes_Mellitus |
|
|
|
No |
— |
— |
|
Yes |
1.82 |
0.55, 7.34 |
0.354 |
Congestive_Heart_Failure |
|
|
|
No |
— |
— |
|
Yes |
0.72 |
0.23, 2.16 |
0.564 |
Coronary_Artery_Disease |
|
|
|
No |
— |
— |
|
Yes |
1.77 |
0.59, 5.45 |
0.307 |
Hypertension |
|
|
|
No |
— |
— |
|
Yes |
1.94 |
0.63, 6.16 |
0.251 |
History_of_Warfarin_Use |
|
|
|
No |
— |
— |
|
Yes |
1.13 |
0.38, 3.35 |
0.824 |
Any_STS |
|
|
|
0 |
— |
— |
|
1 |
0.25 |
0.05, 1.20 |
0.073 |
14 Hospitalization_After_One_Year
Characteristic |
N |
Hospitalization_After_One_Year Univariate logistic regression **
|
OR |
95% CI |
p-value |
Age |
166 |
0.97 |
0.94, 1.00 |
0.032 |
Gender |
166 |
|
|
|
Female |
|
— |
— |
|
Male |
|
1.37 |
0.58, 3.51 |
0.486 |
Race |
166 |
|
|
|
White |
|
— |
— |
|
Non-White |
|
2.14 |
0.77, 7.66 |
0.183 |
Uremic_vs_Nonuremic |
166 |
|
|
|
0 |
|
— |
— |
|
1 |
|
1.11 |
0.46, 2.55 |
0.805 |
Diabetes_Mellitus |
166 |
|
|
|
No |
|
— |
— |
|
Yes |
|
0.57 |
0.20, 1.42 |
0.256 |
Coronary_Artery_Disease |
166 |
|
|
|
No |
|
— |
— |
|
Yes |
|
1.31 |
0.58, 3.14 |
0.524 |
Peripheral_Vascular_Disease |
166 |
|
|
|
No |
|
— |
— |
|
Yes |
|
1.35 |
0.60, 3.23 |
0.479 |
History_of_Warfarin_Use |
166 |
|
|
|
No |
|
— |
— |
|
Yes |
|
1.32 |
0.59, 3.02 |
0.506 |
Any_STS |
166 |
|
|
|
0 |
|
— |
— |
|
1 |
|
3.31 |
1.13, 9.22 |
0.023 |
Characteristic |
**Hospitalization_After_One_Year mutilvariate logistic regression **
|
OR |
95% CI |
p-value |
Uremic_vs_Nonuremic |
|
|
|
0 |
— |
— |
|
1 |
0.76 |
0.27, 1.97 |
0.582 |
Age |
0.96 |
0.93, 1.00 |
0.047 |
Gender |
|
|
|
Female |
— |
— |
|
Male |
1.19 |
0.46, 3.29 |
0.721 |
Race |
|
|
|
White |
— |
— |
|
Non-White |
1.48 |
0.46, 5.70 |
0.532 |
Diabetes_Mellitus |
|
|
|
No |
— |
— |
|
Yes |
0.60 |
0.20, 1.61 |
0.336 |
Coronary_Artery_Disease |
|
|
|
No |
— |
— |
|
Yes |
1.28 |
0.50, 3.41 |
0.607 |
Peripheral_Vascular_Disease |
|
|
|
No |
— |
— |
|
Yes |
1.35 |
0.52, 3.62 |
0.542 |
History_of_Warfarin_Use |
|
|
|
No |
— |
— |
|
Yes |
1.71 |
0.69, 4.41 |
0.255 |
Any_STS |
|
|
|
0 |
— |
— |
|
1 |
3.31 |
1.02, 10.6 |
0.042 |
15 Hospitalization_After_One_Year
Characteristic |
N |
Hospitalization_After_One_Year Univariate logistic regression **
|
OR |
95% CI |
p-value |
Age |
166 |
0.97 |
0.94, 1.00 |
0.032 |
Gender |
166 |
|
|
|
Female |
|
— |
— |
|
Male |
|
1.37 |
0.58, 3.51 |
0.486 |
Race |
166 |
|
|
|
White |
|
— |
— |
|
Non-White |
|
2.14 |
0.77, 7.66 |
0.183 |
Uremic_vs_Nonuremic |
166 |
|
|
|
0 |
|
— |
— |
|
1 |
|
1.11 |
0.46, 2.55 |
0.805 |
Diabetes_Mellitus |
166 |
|
|
|
No |
|
— |
— |
|
Yes |
|
0.57 |
0.20, 1.42 |
0.256 |
Congestive_Heart_Failure |
166 |
|
|
|
No |
|
— |
— |
|
Yes |
|
2.30 |
0.99, 5.86 |
0.064 |
Coronary_Artery_Disease |
166 |
|
|
|
No |
|
— |
— |
|
Yes |
|
1.31 |
0.58, 3.14 |
0.524 |
Hypertension |
166 |
|
|
|
No |
|
— |
— |
|
Yes |
|
1.24 |
0.55, 2.89 |
0.611 |
Characteristic |
**Hospitalization_After_One_Year mutilvariate logistic regression **
|
OR |
95% CI |
p-value |
Uremic_vs_Nonuremic |
|
|
|
0 |
— |
— |
|
1 |
1.00 |
0.40, 2.43 |
0.998 |
Age |
0.97 |
0.93, 1.00 |
0.051 |
Gender |
|
|
|
Female |
— |
— |
|
Male |
1.43 |
0.56, 3.96 |
0.469 |
Race |
|
|
|
White |
— |
— |
|
Non-White |
1.69 |
0.53, 6.51 |
0.403 |
Diabetes_Mellitus |
|
|
|
No |
— |
— |
|
Yes |
0.58 |
0.19, 1.54 |
0.297 |
Congestive_Heart_Failure |
|
|
|
No |
— |
— |
|
Yes |
2.78 |
1.08, 7.79 |
0.041 |
Coronary_Artery_Disease |
|
|
|
No |
— |
— |
|
Yes |
1.21 |
0.48, 3.21 |
0.694 |
Hypertension |
|
|
|
No |
— |
— |
|
Yes |
0.89 |
0.34, 2.35 |
0.804 |
16 Uremic_vs_nonuremic
Characteristic |
N |
Uremic_vs_Nonuremic Univariate logistic regression **
|
OR |
95% CI |
p-value |
Age |
166 |
1.00 |
0.98, 1.03 |
0.718 |
Gender |
166 |
|
|
|
Female |
|
— |
— |
|
Male |
|
1.89 |
0.93, 4.04 |
0.088 |
Race |
166 |
|
|
|
White |
|
— |
— |
|
Non-White |
|
2.20 |
0.97, 5.50 |
0.071 |
Any_STS |
166 |
|
|
|
0 |
|
— |
— |
|
1 |
|
5.60 |
2.07, 16.9 |
0.001 |
Intravenous_STS |
166 |
|
|
|
0 |
|
— |
— |
|
1 |
|
5.97 |
2.45, 15.7 |
<0.001 |
Intralesional_STS |
166 |
|
|
|
0 |
|
— |
— |
|
1 |
|
0.62 |
0.29, 1.37 |
0.230 |
Topical_Ointment_STS |
166 |
|
|
|
0 |
|
— |
— |
|
1 |
|
5.20 |
0.96, 96.6 |
0.121 |
Vitamin_K |
166 |
|
|
|
0 |
|
— |
— |
|
1 |
|
0.87 |
0.44, 1.77 |
0.699 |
Cinacalcet |
166 |
|
|
|
0 |
|
— |
— |
|
1 |
|
7.75 |
3.40, 20.1 |
<0.001 |
Bisphosphonate |
166 |
|
|
|
0 |
|
— |
— |
|
1 |
|
0.69 |
0.27, 1.87 |
0.449 |
Parathyroidectomy |
163 |
|
|
|
0 |
|
— |
— |
|
1 |
|
3.61 |
0.96, 23.6 |
0.098 |
Characteristic |
**Uremic_vs_Nonuremic mutilvariate logistic regression **
|
OR |
95% CI |
p-value |
Age |
1.02 |
0.99, 1.05 |
0.234 |
Gender |
|
|
|
Female |
— |
— |
|
Male |
1.93 |
0.82, 4.77 |
0.142 |
Race |
|
|
|
White |
— |
— |
|
Non-White |
2.26 |
0.81, 6.85 |
0.129 |
Any_STS |
|
|
|
0 |
— |
— |
|
1 |
0.79 |
0.07, 8.27 |
0.847 |
Intravenous_STS |
|
|
|
0 |
— |
— |
|
1 |
4.80 |
0.59, 48.5 |
0.146 |
Intralesional_STS |
|
|
|
0 |
— |
— |
|
1 |
0.61 |
0.23, 1.62 |
0.312 |
Topical_Ointment_STS |
|
|
|
0 |
— |
— |
|
1 |
4.33 |
0.56, 104 |
0.236 |
Vitamin_K |
|
|
|
0 |
— |
— |
|
1 |
0.64 |
0.26, 1.57 |
0.332 |
Cinacalcet |
|
|
|
0 |
— |
— |
|
1 |
6.00 |
2.47, 16.5 |
<0.001 |
Bisphosphonate |
|
|
|
0 |
— |
— |
|
1 |
0.50 |
0.15, 1.70 |
0.263 |
Parathyroidectomy |
|
|
|
0 |
— |
— |
|
1 |
2.28 |
0.48, 16.8 |
0.342 |
17 Parathyroidectomy
Characteristic |
N |
Parathyroidectomy Univariate logistic regression **
|
OR |
95% CI |
p-value |
Age |
163 |
0.96 |
0.92, 1.00 |
0.035 |
Gender |
163 |
|
|
|
Female |
|
— |
— |
|
Male |
|
0.27 |
0.04, 1.01 |
0.090 |
Race |
163 |
|
|
|
White |
|
— |
— |
|
Non-White |
|
2.80 |
0.93, 8.09 |
0.058 |
Uremic_vs_Nonuremic |
163 |
|
|
|
0 |
|
— |
— |
|
1 |
|
3.61 |
0.96, 23.6 |
0.098 |
Characteristic |
**Parathyroidectomy mutilvariate logistic regression **
|
OR |
95% CI |
p-value |
Age |
0.96 |
0.92, 1.00 |
0.046 |
Gender |
|
|
|
Female |
— |
— |
|
Male |
0.19 |
0.03, 0.75 |
0.037 |
Race |
|
|
|
White |
— |
— |
|
Non-White |
1.88 |
0.56, 6.01 |
0.290 |
Uremic_vs_Nonuremic |
|
|
|
0 |
— |
— |
|
1 |
4.70 |
1.16, 32.0 |
0.055 |