Sammon, Jesse D.

Objective To evaluate the relationship between partial nephrectomy ( PN ) and hospital availability of robot‐assisted surgery from a population‐based cohort in the USA . Methods After merging the Nationwide Inpatient Sample ( NIS ) and the A merican Hospital Association survey from 2006 to 2008, we identified 21 179 patients who underwent either PN or radical nephrectomy ( RN ) for renal cell carcinoma ( RCC ). The primary outcome assessed was the type of nephrectomy performed. Multivariable logistic regression identified the patient and hospital characteristics associated with receipt of PN . Results We identified 4832 (22.8%) and 16 347 (77.2%) patients who were treated for RCC with PN and RN , respectively. On multivariable analysis, patients were more likely to receive PN at academic centres (odds ratio [ OR ] 2.77; P < 0.001), urban centres ( OR 3.66; P < 0.001) and A merican College of Surgeons ( ACOS )‐designated cancer centres ( OR : 1.10; P < 0.05) compared with non‐academic, rural and non‐ ACOS ‐designated cancer centre hospitals, respectively. Robot‐assisted surgery availability at a hospital was also associated with a higher adjusted odds of PN compared with centres without that availability ( OR 1.28; P < 0.001). Conclusions Although academic and urban locations are establi s hed factors that affect the receipt of PN for RCC , the availability of robot‐assisted surgery at a hospital was also independently associated with higher use of PN . Our results are informative in identifying other key hospital characteristics which may facilitate greater adoption of PN .

BACKGROUNDApproximately 1.7 million individuals per year are affected with health care‐associated infections (HAIs) in the United States. The authors examined trends in the incidence of HAI after major cancer surgery (MCS) and risk factors for HAI to describe the effects of HAI on mortality after MCS.METHODSPatients undergoing 1 of 8 MCS procedures within the Nationwide Inpatient Sample between 1999 and 2009 were identified (n = 2,502,686). Generalized linear regression models were used to estimate the impact of the primary predictors (procedure type, age, sex, race, insurance status, Charlson comorbidity index, hospital volume, and hospital bed size) on the odds of HAI and in‐hospital mortality. Trends in incidence were evaluated with linear regression.RESULTSOverall, MCS‐associated HAI incidence increased 2.7% per year (P < .001), whereas mortality decreased 1.3% per year (P < .001). Male gender (odds ratio [OR], 1.12, 95% confidence interval [CI], 1.10‐1.14), advancing age (OR, 1.02; 95% CI, 1.02‐1.02), black race (OR, 1.26; 95% CI, 1.21‐1.31), ≥1 comorbidities (OR, from 1.08 [95% CI, 1.04‐1.13] to 1.31 [95% CI, 1.27‐1.35]), and nonprivate insurance (OR, from 1.18 [95% CI, 1.15‐1.22] to 1.67 [95% CI, 1.59‐1.76]) were associated with an increased odds of HAI on multivariable analysis. Conversely, increasing hospital volume was associated with lower odds of HAI (OR, 0.999; 95% CI, 0.99‐0.99). Patients with MCS‐associated HAI had increased odds of mortality (OR, 8.66; 95% CI, 8.51‐8.82).CONCLUSIONSBetween 1999 and 2009, the incidence of MCS‐associated HAI events increased; however, HAI‐associated mortality decreased. That said, significant disparities exist in the hospital and demographic attributes associated with MCS‐associated HAI, with attendant health policy implications. Moreover, HAI remains detrimentally linked to mortality during hospitalization. Cancer 2013;119:2317–2324. © 2013 American Cancer Society.