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The true risk of blood transfusion after nephrectomy for renal masses: a population‐based study
Author(s) -
Vricella Gino J.,
Finelli Antonio,
Alibhai Shabbir M.H.,
Ponsky Lee E.,
Abouassaly Robert
Publication year - 2013
Publication title -
bju international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.773
H-Index - 148
eISSN - 1464-410X
pISSN - 1464-4096
DOI - 10.1111/j.1464-410x.2012.11721.x
Subject(s) - medicine , nephrectomy , blood transfusion , population , retrospective cohort study , comorbidity , renal function , surgery , kidney , environmental health
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 A pril 2003 and 31 M arch 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 C harlson 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 C harlson scores of ≥3, respectively ( P < 0.001). On multivariable logistic regression, age ( P < 0.001), C harlson 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.