Preoperative assessment system for hand-assisted laparoscopic donor nephrectomy by discriminant analysis.

ABSTRACT: We developed a preoperative assessment system to predict surgical workload in hand-assisted laparoscopic donor nephrectomy (HALDNx) using the normal-based linear discriminant rule (NLDR). A total of 128 cases of left HALDNx performed by a single operator were used as training data. Surgical workload was measured by operative time. The optimized model had 9 explanatory variables: age, total protein, total cholesterol, number of renal arteries (numberRA), 4 variables of perinephric fat (PNF), and thickness of subcutaneous fat. This model was validated using cross-validation and the .632 estimator to estimate discrimination rates with future test data. PNF and numberRA were the predominant factors affecting workload followed by the computed tomography value of PNF, body weight, and male sex.

SUBMITTER: Iwadoh K 

PROVIDER: S-EPMC7188199 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature