Poster, Podium & Video Sessions
Presentation Authors: Ruiyang Jiang*, Steven Wolf, J. Todd Purves, John S. Wiener, Jonathan C. Routh, Durham, NC
Introduction: There is a lack of validated surgical risk assessment scores in pediatric urology to predict mortality and complications. Indices such as Charlson Comorbidity (CCI) and Van Walraven (VWI) were developed using adult cohorts, and the Rhee Index was established for pediatric general surgery patients. To assess their applicability in pediatric urology, we compared how well the three comorbidity indices predict post-operative readmissions to the emergency room and inpatient unit after urological procedures.
Methods: We analyzed the State Inpatient Databases (SID) from 2007 to 2010. The SID is specifically designed to track ER and inpatient visits. We included pediatric patients (< 18 y) who underwent the following urological procedures: ureteroneocystostomy, ureteroureterostomy, radical/partial nephrectomy, pyeloplasty, appendicovesicostomy, enterocystoplasty, vesicostomy, and bladder neck sling. 30-day ER and inpatient readmissions were extracted. Comorbidity scores were calculated using each index. We used descriptive analysis to describe the patient cohort. To compare the performance on predicting post-operative readmissions, receiver operating characteristics (ROC) were constructed for each index.
Results: We identified a total of 6,752 patients. The median age was 4 years; males accounted for 43.9% of the cohort, and 52.4% were privately insured. 7.4% had at least one inpatient readmission, and 8.1% had at least one ER admission. The CCI had the best predictability for 30-day inpatient readmissions (AUC=0.63) than VWI (AUC=0.54) and Rhee Index (AUC=0.56); p<0.0001. All three indices performed similarly poor in predicting 30-day ER admissions: CCI (AUC=0.52), VWI (AUC=0.51), and Rhee Index (AUC=0.50); p=0.5.
Conclusions: The Charlson Index was significantly better at predicting inpatient readmissions than Van Walraven or Rhee Index, but the three scores were equally poor in predicting post-surgical ER admissions. The three indices were designed to predict mortality and, thus, performed significantly less well in predicting readmissions. Our result supports that a new risk index needs to be developed to better predict post-operative readmissions in pediatric urology patients.
Source Of Funding: K08-DK100534 from the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Duke University Medical Center
Ruiyang Jiang completed his undergraduate studies at Texas Tech University with degree in Biochemistry (B.S) and conducted basic science research as a Howard Hughes Medical Institute scholar. He subsequently obtained his M.D. from The University of Texas Southwestern Medical Center in Dallas, Texas. He is currently in his third year of urology residency training at Duke University Medical Center.
Tuesday, May 16
7:00 AM – 9:00 AM