| Literature DB >> 34178583 |
Jiping Zeng1, Ken Batai1, Benjamin R Lee1.
Abstract
In this study, we aimed to evaluate the impact of surgical wait time (SWT) on outcomes of patients with renal cell carcinoma (RCC), and to investigate risk factors associated with prolonged SWT. Using the National Cancer Database, we retrospectively reviewed the records of patients with pT3 RCC treated with radical or partial nephrectomy between 2004 and 2014. The cohort was divided based on SWT. The primary outcome was 5-year overall survival (OS). Logistic regression analysis was used to investigate the risk factors associated with delayed surgery. Cox proportional hazards models were fitted to assess relations between SWT and 5-year OS after adjusting for confounding factors. A total of 22,653 patients were included in the analysis. Patients with SWT > 10 weeks had higher occurrence of upstaging. Using logistic regression, we found that female patients, African-American or Spanish origin patients, treatment in academic or integrated network cancer center, lack of insurance, median household income of <$38,000, and the Charlson-Deyo score of ≥1 were more likely to have prolonged SWT. SWT > 10 weeks was associated with decreased 5-year OS (hazard ratio [HR], 1.24; 95% confidence interval [CI], 1.15-1.33). This risk was not markedly attenuated after adjusting for confounding variables, including age, gender, race, insurance status, Charlson-Deyo score, tumor size, and surgical margin status (adjusted HR, 1.13; 95% CI, 1.04-1.24). In conclusion, the vast majority of patients underwent surgery within 10 weeks. There is a statistically significant trend of increasing SWT over the study period. SWT > 10 weeks is associated with decreased 5-year OS. Copyright: Zeng J et al.Entities:
Keywords: nephrectomy; overall survival; renal cell carcinoma (RCC); surgical wait time (SWT)
Year: 2021 PMID: 34178583 PMCID: PMC8211570 DOI: 10.15586/jkcvhl.v8i2.125
Source DB: PubMed Journal: J Kidney Cancer VHL ISSN: 2203-5826
Patient demographics and tumor characteristics.
| P-value | SWT < 10 weeks | SWT > 10 weeks | |
|---|---|---|---|
| Age (years) | <0.01 | ||
| Gender | 0.083 | ||
| Race | <0.01 | ||
| Spanish origin | <0.01 | ||
| Facility type | <0.01 | ||
| Insurance status | <0.01 | ||
| Income | <0.01 | ||
| Charlson–Deyo score | <0.01 | ||
| Urban/rural | 0.073 | ||
| Great circle distance | 0.67 | ||
| Grade | <0.01 | ||
| Size of tumor | <0.01 |
SWT: surgical wait time.
Figure 1:Trend analysis of surgical wait time (SWT) for the study period 2004–2014. Figure demonstrates the median SWT of each year. The Jonckheere–Terpstra test shows a statistically significant trend of increasing SWT from 2004 to 2014.
Treatment outcomes by groups.
| P-value | SWT < 10 weeks | SWT > 10 weeks | |
|---|---|---|---|
| Upstaged to pT3 | <0.01 | 6601 (34.2%) | 1456 (43.6%) |
| Surgical margin | <0.01 | ||
| LOS (Mean ± Std) | 0.064 | 5.3 ± 5.8 d | 5 ± 5.4 days |
| Readmission | 0.051 | ||
| 30-Day mortality | 0.606 | 390 (2%) | 57 (1.7%) |
| 90-Day mortality | 0.659 | 1051 (9%) | 157 (4.7%) |
SWT: surgical wait time; LOS: length of stay.
Logistic regression analysis for surgical wait time (SWT) > 10 weeks.
| OR | 95% CI | P-value | |
|---|---|---|---|
| Age (years) | |||
| Gender | |||
| Race | |||
| Spanish origin | |||
| Facility type | |||
| Insurance status | |||
| Income | |||
| Charlson–Deyo score | Ref. | 1.14–1.36 | <0.01 |
| Urban/rural | |||
| Great circle distance | Ref. | 0.84–1.10 | 0.54 |
OR: odds ratio; 95% CI: 95% confidence interval.
Multivariate cox regression for 5-year overall survival.
| HR | 95% CI | P-value | |
|---|---|---|---|
| Age (years) | |||
| Gender | |||
| Race | |||
| Spanish origin | |||
| Insurance status | |||
| Charlson–Deyo score | Ref. | 1.02–1.12 | <0.01 |
| Tumor size | |||
| Surgical margin | |||
| SWT |
HR: hazard ratio; SWT: surgical wait time; 95% CI: 95% confidence interval.