TY - JOUR
T1 - The true risk of blood transfusion after nephrectomy for renal masses
T2 - A population-based study
AU - Vricella, Gino J.
AU - Finelli, Antonio
AU - Alibhai, Shabbir M.H.
AU - Ponsky, Lee E.
AU - Abouassaly, Robert
PY - 2013/6
Y1 - 2013/6
N2 - What's known on the subject? and What does the study add? There is a paucity of population-based analyses of expected outcomes after renal surgery for kidney cancer. Reported blood transfusion rates after nephrectomy show considerable variability, probably as a result of the referral patterns that influence reports from tertiary academic medical centres. With emerging data on the inferior outcomes in patients undergoing allogeneic blood transfusion, we aimed to evaluate the patient, surgeon and hospital factors that influence the receipt of a blood transfusion after nephrectomy. A more detailed understanding of these factors may help in preoperative patient counselling and informed consent. Objective To examine blood transfusion rates after nephrectomy for renal masses at the population-level. Patients and Methods We performed a population-based, retrospective observational study using a national discharge abstract database. The study cohort consisted of 10 902 patients who were treated by radical nephrectomy (RN) or partial nephrectomy (PN) for a renal mass between 1 April 2003 and 31 March 2008. The association between blood transfusion and various explanatory variables was examined using the chi-squared test and multivariable logistic regression. Results The overall blood transfusion rate was 18.1%. Transfusions occurred after 28.2%, 12.7%, 9.2% and 8.6% of open RN, open PN, laparoscopic RN and laparoscopic PN, respectively (P < 0.001). Transfusion rates were found to be strongly associated with age and comorbidity, such that patients aged <50 years with Charlson scores of 0 were transfused 11.2% and 14.5% of the time compared to 28.2% and 40.7% in patients aged ≥80 years with Charlson scores of ≥3, respectively (P < 0.001). On multivariable logistic regression, age (P < 0.001), Charlson score (P < 0.001), procedure type (P < 0.001), surgeon (P < 0.001) and hospital volume quartile (P < 0.001) were all found to be associated with the rate of blood transfusions, whereas year of surgery, sex and income quintile were not. Conclusions The transfusion rate after nephrectomy in general clinical practice is higher than that reported in the urological literature. Patient and provider factors appear to contribute to the considerable variability that exists in the observed transfusion rate. A more detailed understanding of these factors may help with respect to preoperative patient counselling and informed consent.
AB - What's known on the subject? and What does the study add? There is a paucity of population-based analyses of expected outcomes after renal surgery for kidney cancer. Reported blood transfusion rates after nephrectomy show considerable variability, probably as a result of the referral patterns that influence reports from tertiary academic medical centres. With emerging data on the inferior outcomes in patients undergoing allogeneic blood transfusion, we aimed to evaluate the patient, surgeon and hospital factors that influence the receipt of a blood transfusion after nephrectomy. A more detailed understanding of these factors may help in preoperative patient counselling and informed consent. Objective To examine blood transfusion rates after nephrectomy for renal masses at the population-level. Patients and Methods We performed a population-based, retrospective observational study using a national discharge abstract database. The study cohort consisted of 10 902 patients who were treated by radical nephrectomy (RN) or partial nephrectomy (PN) for a renal mass between 1 April 2003 and 31 March 2008. The association between blood transfusion and various explanatory variables was examined using the chi-squared test and multivariable logistic regression. Results The overall blood transfusion rate was 18.1%. Transfusions occurred after 28.2%, 12.7%, 9.2% and 8.6% of open RN, open PN, laparoscopic RN and laparoscopic PN, respectively (P < 0.001). Transfusion rates were found to be strongly associated with age and comorbidity, such that patients aged <50 years with Charlson scores of 0 were transfused 11.2% and 14.5% of the time compared to 28.2% and 40.7% in patients aged ≥80 years with Charlson scores of ≥3, respectively (P < 0.001). On multivariable logistic regression, age (P < 0.001), Charlson score (P < 0.001), procedure type (P < 0.001), surgeon (P < 0.001) and hospital volume quartile (P < 0.001) were all found to be associated with the rate of blood transfusions, whereas year of surgery, sex and income quintile were not. Conclusions The transfusion rate after nephrectomy in general clinical practice is higher than that reported in the urological literature. Patient and provider factors appear to contribute to the considerable variability that exists in the observed transfusion rate. A more detailed understanding of these factors may help with respect to preoperative patient counselling and informed consent.
KW - blood transfusion
KW - nephrectomy
KW - renal cell carcinoma
UR - http://www.scopus.com/inward/record.url?scp=84878327446&partnerID=8YFLogxK
U2 - 10.1111/j.1464-410X.2012.11721.x
DO - 10.1111/j.1464-410X.2012.11721.x
M3 - Article
C2 - 23368715
AN - SCOPUS:84878327446
SN - 1464-4096
VL - 111
SP - 1294
EP - 1300
JO - BJU international
JF - BJU international
IS - 8
ER -