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Table 4 Multivariable linear regression models (estimated blood loss, LOS) and multivariable logistic regression models (intraoperative complication, postoperative complication, trifecta) in 306 patients treated with open (n=204) or roboticassisted partial nephrectomy (n=102) for renal cell carcinoma at a tertiary care center from 01/2003 to 01/2021 after propensity score matching

From: Comparison of peri- and intraoperative outcomes of open vs robotic-assisted partial nephrectomy for renal cell carcinoma: a propensity-matched analysis

 

Estimated blood loss a

LOS b

Intraoperative complication c

Postoperative complication d

Trifecta e

Beta

95% CI

P value

Beta

95% CI

P value

OR

95% CI

P value

OR

95% CI

P value

OR

95% CI

P value

Surgical approach

               

Open

Ref.

  

Ref.

  

Ref.

  

Ref.

  

Ref.

  

Robotic-assisted

30.750

 − 188.789, 250.289

0.782

 − 0.831

 − 1.936, 0.274

0.140

0.1570

0.0605, 0.3562

 < 0.001

0.5460

0.2835, 0.9431

0.0452

1.8394

1.0385, 3.3036

0.0385

  1. Abbreviations: Ref, reference; LOS, length of stay; OR, odds ratio; 95% CI, 95% confidence interval
  2. aMultivariable linear regression; adjusted for intraoperative complication, tumor diameter, RENAL score, intraoperative ischemia, surgeon’s volume, year
  3. bMultivariable linear regression; adjusted for intraoperative complication, postoperative complication, tumor diameter, RENAL score, intraoperative ischemia, surgeon’s volume, year
  4. cMultivariable logistic regression; adjusted for tumor diameter, RENAL score, intraoperative ischemia, surgeon’s volume, year
  5. dMultivariable logistic regression; adjusted for intraoperative complication, tumor diameter, RENAL score, intraoperative ischemia, surgeon’s volume, year
  6. eMultivariable logistic regression; adjusted for tumor diameter, RENAL score, surgeon’s volume, year of surgery