Thirty day readmissions and outcomes following radical nephrectomy in renal cell carcinoma: A nationwide analysis.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e16560-e16560
Author(s):  
Trilok Shrivastava ◽  
Miguel Salazar ◽  
Victor Prado ◽  
Estefania Gauto ◽  
Binav Baral ◽  
...  

e16560 Background: Nephrectomy is one of the primary treatments of Stage I-III renal cell carcinoma (RCC), which is usually associated with low rates of serious morbidity and mortality. However, a fraction of patients gets readmitted after the surgery for numerous reasons which can impact their overall prognosis. Methods: We conducted a retrospective cohort study using the 2017 National Readmission Database of adult patients with RCC readmitted within 30 days after an index admission for nephrectomy. We aimed to identify the 30-day readmission rate, mortality, resource utilization, and independent predictors of readmission. Results: A total of 25,307 patients with RCC underwent nephrectomy. The 30-day readmission rate was 8.7%. The top five causes for readmission were sepsis, AKI, STEMI, surgical infections & metastatic disease. Patients requiring readmission were less likely to be discharged home (56.5 vs 81.8%), have private insurance (27.2 vs 34.7), obesity (14.7 vs 20.6%), hypertension (30.9 vs 47.1%), and be admitted to a teaching hospital (75.8 vs 79.2%). They were more likely to be insured with Medicare (58.3 vs 53.3%), have lower income (28.7 vs 26.3%), type 2 diabetes (32.4 vs 26.7%), CKD (44.1 vs 20.7%), malnutrition (9.2 vs 2.1%), undergo chemotherapy (5.2 vs 1.9%). Readmission was associated with higher in-hospital mortality (1.5 vs. 0.1%), CVA (0.6 vs 0.3%), AKI (29.6 vs 16.9%) and pleural effusion (7.8 vs 1.8%). They were also more likely to require mechanical ventilation (3.5 vs 1.8%), parenteral nutrition (1.2 vs 0.4%) and hemodialysis (11.9 vs 4.5%). The in-hospital economic burden of readmission was $128 million in total charges and $31.8 million in total costs. Independent predictors of readmission were disposition to a short-term hospital or skilled nursing facility, length of stay, need for mechanical ventilation and transfusion of blood products, having type 1 diabetes, malnutrition, pleural effusion, and CKD. Younger age and private insurance were associated with preventing readmission. Conclusions: Readmissions after nephrectomy in patients with RCC are associated with increased in-hospital mortality rate and pose a high health care economic burden. We identified few risk factors and patient characteristics associated with post-surgical readmissions; however, further in-depth studies are needed to find preventable risk factors.[Table: see text]

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yanqing Ma ◽  
Weijun Ma ◽  
Xiren Xu ◽  
Zheng Guan ◽  
Peipei Pang

AbstractThis study aimed to construct convention-radiomics CT nomogram containing conventional CT characteristics and radiomics signature for distinguishing fat-poor angiomyolipoma (fp-AML) from clear-cell renal cell carcinoma (ccRCC). 29 fp-AML and 110 ccRCC patients were enrolled and underwent CT examinations in this study. The radiomics-only logistic model was constructed with selected radiomics features by the analysis of variance (ANOVA)/Mann–Whitney (MW), correlation analysis, and Least Absolute Shrinkage and Selection Operator (LASSO), and the radiomics score (rad-score) was computed. The convention-radiomics logistic model based on independent conventional CT risk factors and rad-score was constructed for differentiating. Then the relevant nomogram was developed. Receiver operation characteristic (ROC) curves were calculated to quantify the accuracy for distinguishing. The rad-score of ccRCC was smaller than that of fp-AML. The convention-radioimics logistic model was constructed containing variables of enhancement pattern, VUP, and rad-score. To the entire cohort, the area under the curve (AUC) of convention-radiomics model (0.968 [95% CI 0.923–0.990]) was higher than that of radiomics-only model (0.958 [95% CI 0.910–0.985]). Our study indicated that convention-radiomics CT nomogram including conventional CT risk factors and radiomics signature exhibited better performance in distinguishing fp-AML from ccRCC.


CHEST Journal ◽  
2020 ◽  
Vol 158 (4) ◽  
pp. A2045
Author(s):  
Amira Ibrahim ◽  
Anneka Hutton ◽  
Daniel Gutman

2019 ◽  
Vol 17 (1) ◽  
pp. e227-e234 ◽  
Author(s):  
Tiphaine Cholley ◽  
Antoine Thiery-Vuillemin ◽  
Samuel Limat ◽  
Marion Hugues ◽  
Fabien Calcagno ◽  
...  

Urology ◽  
2008 ◽  
Vol 72 (2) ◽  
pp. 354-358 ◽  
Author(s):  
Keiichi Ito ◽  
Hayakazu Nakazawa ◽  
Ken Marumo ◽  
Seiichiro Ozono ◽  
Tatsuo Igarashi ◽  
...  

2020 ◽  
Vol 10 (1) ◽  
pp. 18
Author(s):  
Ahmed Nagy ◽  
Mona Kamal ◽  
Hesham El Halawani

Background: Renal cell carcinoma is a rare tumor and till recently few treatment options were available. It is poorly understood why people develop RCC since only a few etiologic factors have been clinically identified as risk factors for RCC.Purpose: To analyze our experience at Ain Shams University Clinical Oncology department in Egypt with patients presenting with advanced renal cell carcinoma to provide a correlations between clinic-pathological factors, treatment and survival outcomes.Methodology: Retrospective review of the data of 54 patients who were diagnosed as RCC and presented to Ain Shams University Clinical Oncology department in Egypt from 1 May 2013 till 1 May 2015. Descriptive and clinic-pathological data were described using simple and relative frequencies. Survival outcome for the patients will be described using Kaplan Meier curves stratified according to morphology, age group and treatment received.Results: The sample included 54 patients (53.7% were males) of whom 14.3% were less than 40 years and 3.7% were elderly (≥ 70 years old). The median age was 55.5 years (SD ± 13.6 , range 19-71). Median PFS was 6.5 months (SD ± 12.3846 Range 43) while the median OS was 13 months (SD ± 12.161 Range 46). PFS in patients aged below 55.5 years was 9 months (95% CI=6.509-11.491) compared to 4 months (95% CI=2.704-5.296) in older patients (p = .004). PFS in patients who achieved PR after sunitinb was 17 months (95% CI=6.916-27.084) compared to 5 months (95% CI=3.699-6.301) in patients who didn’t achieved PR (p < .001). OS in patients aged below 55.5 years was 15 months (95% CI=9.131-20.869) compared to 11 months (95% CI=8.947-13.053) in older patients (p = .012). Favorable pathology status was associated with prolonged OS of 14 months (95% CI= 9.403-18.597) versus 11 months (95% CI=8.363-13.637) for unfavourable pathology status (p = .11). Low grades histopathogy was associated with prolonged OS of 44 months (95% CI= 38.456-49.544) versus 12 months (95% CI=10.077-13.923) for higher grades (p = < .001).Conclusion: Multivariate analyses supported a conclusion that younger age was an independent prognostic factor for survival along with other known risk factors such as tumor grade and pathology status.


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