Predictive parameters of intraoperative blood loss in patients who underwent pancreatectomy.

BACKGROUND/AIMS: Despite recent advances in surgical techniques, blood loss is an important factor associated with postoperative outcomes in pancreatectomy. It is useful to identify risk factors of increased blood loss. METHODOLOGY: The clinical records of 161 patients who underwent an elective pancreatectomy for peripancreatic diseases between 1994 and March 2011 were retrospectively examined. Univariate and multivariate analysis of clinicopathological and surgical parameters influencing intraoperative blood loss were performed. We determined the cut-off value of the amount of blood loss based on the analyzed results. RESULTS: The mean and median blood loss was 1346±901 and 1070 mL, respectively. Red cell blood transfusion was performed in 72 patients (45%). Based on ROC analysis, the predictive value of blood loss in patients who received red cell blood transfusion was 880 mL (p <0.001); however, blood loss was not significantly associated with postoperative complications (p = 0.40). The cut-off level of estimated amount of blood loss in the present study was set at 880 mL. Male patients, fatty pancreas, higher serum alkaline phosphatase level, longer operating time, performance of pancreaticoduodenectomy (PD) and combined resections of adjacent major vessels were associated with significantly more increased blood loss (p <0.05). Based on multivariate analysis, longer operation time over 480 minutes and performance of PD were significantly associated with increased blood loss (p <0.05). CONCLUSIONS: Attempting to reduce operating time in cases of PD is necessary to reduce intraoperative blood loss.

A predictive factor of the quality of microarray comparative genomic hybridization analysis for formalin-fixed paraffin-embedded archival tissue.

Utilizing formalin-fixed paraffin-embedded (FFPE) archival tissue, the most common form of tissue preservation in routine practice, for cytogenetic analysis using microarray comparative genomic hybridization (aCGH) remains challenging. We searched for a predictive factor of the performance of FFPE DNA in aCGH analysis. DNA was extracted from 63 FFPE archival tissue samples of various tissue types (31 breast cancers, 24 lung cancers, and 8 thyroid tumors), followed by aCGH analysis using high-density oligonucleotide microarrays. Tumor DNA from matched frozen samples and from FFPE samples after whole-genome amplification were also analyzed in 2 and 4 case, respectively. The derivative log ratio spread (DLRSpread) was used to assess the overall quality of each aCGH result. The DLRSpread correlated significantly with the double-stranded DNA ratio of tumor DNA, storage time, and the degree of labeling with Cy5 (P<0.0001; correlation coefficients=-0.796, 0.551, -0.481, respectively). Stepwise multiple linear regression analysis revealed that the double-stranded DNA ratio of tumor DNA is the most significant predictive factor of DLRSpread (regression coefficient=-0.4798; P=<0.0001). The cytogenetic profiles of FFPE and matched frozen samples showed good concordance. Although the double-stranded DNA ratios were increased after whole-genome amplification, the DLRSpread was not improved. The double-stranded DNA ratio can be used to predict the performance of aCGH analysis for DNA from FFPE samples. Using this quality metric, valuable FFPE archival tissue samples can be utilized for aCGH analysis.