A risk score for predicting perioperative blood transfusion in liver surgery

A Novel Scoring System Predicting Red Blood Cell Transfusion Requirements in Patients Undergoing Invasive Spine Surgery

Background: Access to blood products is crucial for patient safety during the perioperative course. However, reduced donations and seasonally occurring blood shortages pose a significant challenge to the healthcare system, with surgeries being postponed. The German Blood Transfusion act requires that RBC packages become assigned to an individual patient, resulting in a significant reduction in the available blood products, further aggravating shortages. We aimed to develop a scoring system predicting transfusion probability in patients undergoing spine surgery to reduce assignment and, thus, increase the availability of blood products. Methods: The medical records of 252 patients who underwent spine surgery were evaluated and 18 potential predictors for RBC transfusion were tested to construct a logistic-regression-based predictive scoring system for blood transfusion in patients undergoing spine surgery. Results: The variables found to be the most important included the type of surgery, vertebral body replacement, number of stages, and pre-operative Hb concentration, indicating that surgical specification and the extent of the surgical procedure were more influential than the pre-existing patient condition and medication. Conclusions: Our model showed a good discrimination ability with an average AUC [min, max] of 0.87 [0.6, 0.97] and internal validation with a similar AUC of 0.84 [0.66, 0.97]. In summary, we developed a scoring system to forecast patients' perioperative transfusion needs when undergoing spine surgery using pre-operative predictors, potentially reducing the need for RBC allocation and, thus, resulting in an increased availability of this valuable resource.

Trends and predictions of perioperative transfusion and venous thromboembolism in hepatectomy using a North American Registry

BACKGROUND

Studies indicate a link between allogeneic blood transfusion and venous thromboembolism (VTE) post-major surgery. Analyzing trends and predictors of these outcomes after hepatectomy can inform risk management.

METHODS

The American College of Surgeons National Surgical Quality Improvement Program database was used for a retrospective analysis. Primary outcomes were perioperative red blood cell (RBC) transfusion and VTE events within 30 days of hepatectomy. Seven-year trends and predictors were evaluated.

RESULTS

Among 29,131 hepatectomy patients, transfusion rates showed no statistically significant decreasing trends (p = .122) from 2014 to 2020 (18.13%-16.71%), while VTE rates showed a downward trend over the 7 years (p = .021); 17.2% received RBC transfusion, with higher rates in surgeries lasting ≥282 min (median: 220 min). Calculated RBC mass [hematocrit (%) × body weight (kg) × 10-5  × 70/ √ (body mass index/22)] at or below 1.5 L substantially increased transfusion odds. VTE was reported postoperatively in 2.6% of cases more frequently in longer cases involving transfusions. The adjusted odds ratio (aOR) of VTE escalated from the shortest operative time to the longest (3.17; 95% confidence interval [CI], 2.37-4.22). The adjusted odds of VTE doubled for transfused patients compared to non-transfused patients (aOR, 2.19; 95% CI, 1.86-2.57).

CONCLUSIONS

Rates of RBC transfusion and VTE rates hepatectomy have minimally changed in the recent years. VTE prevention is challenging in extended surgeries at increased risk of bleeding and RBC transfusions. Patient-level data on coagulation and thromboprophylaxis can potentially refine risk assessment for postoperative VTE.

Systematic review highlights high risk of bias of clinical prediction models for blood transfusion in patients undergoing elective surgery

BACKGROUND

Blood transfusion can be a lifesaving intervention after perioperative blood loss. Many prediction models have been developed to identify patients most likely to require blood transfusion during elective surgery, but it is unclear whether any are suitable for clinical practice.

STUDY DESIGN AND SETTING

We conducted a systematic review, searching MEDLINE, Embase, PubMed, The Cochrane Library, Transfusion Evidence Library, Scopus, and Web of Science databases for studies reporting the development or validation of a blood transfusion prediction model in elective surgery patients between January 1, 2000 and June 30, 2021. We extracted study characteristics, discrimination performance (c-statistics) of final models, and data, which we used to perform risk of bias assessment using the Prediction model risk of bias assessment tool (PROBAST).

RESULTS

We reviewed 66 studies (72 developed and 48 externally validated models). Pooled c-statistics of externally validated models ranged from 0.67 to 0.78. Most developed and validated models were at high risk of bias due to handling of predictors, validation methods, and too small sample sizes.

CONCLUSION

Most blood transfusion prediction models are at high risk of bias and suffer from poor reporting and methodological quality, which must be addressed before they can be safely used in clinical practice.

Conversion of Minimally Invasive Liver Resection for HCC in Advanced Cirrhosis: Clinical Impact and Role of Difficulty Scoring Systems

BACKGROUND

Minimally invasive liver resections (MILRs) in cirrhosis are at risk of conversion since cirrhosis and complexity, which can be estimated by scoring systems, are both independent factors for. We aimed to investigate the consequence of conversion of MILR for hepatocellular carcinoma in advanced cirrhosis.

METHODS

After retrospective review, MILRs for HCC were divided into preserved liver function (Cohort-A) and advanced cirrhosis cohorts (Cohort-B). Completed and converted MILRs were compared (Compl-A vs. Conv-A and Compl-B vs. Conv-B); then, converted patients were compared (Conv-A vs. Conv-B) as whole cohorts and after stratification for MILR difficulty using Iwate criteria.

RESULTS

637 MILRs were studied (474 Cohort-A, 163 Cohort-B). Conv-A MILRs had worse outcomes than Compl-A: more blood loss; higher incidence of transfusions, morbidity, grade 2 complications, ascites, liver failure and longer hospitalization. Conv-B MILRs exhibited the same worse perioperative outcomes than Compl-B and also higher incidence of grade 1 complications. Conv-A and Conv-B outcomes of low difficulty MILRs resulted in similar perioperative outcomes, whereas the comparison of more difficult converted MILRs (intermediate/advanced/expert) resulted in several worse perioperative outcomes for patients with advanced cirrhosis. However, Conv-A and Conv-B outcomes were not significantly different in the whole cohort where "advanced/expert" MILRs were 33.1% and 5.5% in Cohort A and B.

CONCLUSIONS

Conversion in the setting of advanced cirrhosis can be associated with non-inferior outcomes compared to compensated cirrhosis, provided careful patient selection is applied (patients elected to low difficulty MILRs). Difficulty scoring systems may help in identifying the most appropriate candidates.

How do I/we forecast tomorrow's transfusion? A focus on recipients' profiles

Red blood cell (RBC) transfusion is a life-saving medical intervention and has an essential role in the management of surgical patients. However, blood donations and supply levels are decreasing, therefore there is an unmet need for the accurate prediction of the transfusion probability for surgical patients. Multiple methods have been established to predict the need for RBC transfusion. Maximum surgical blood order schedules are widely used in the clinical setting. However, these lists are not designed to accurately predict RBC utilization for an individual case as factors such as preoperative haemoglobin level, total body blood volume, comedications are not considered. Artificial intelligence and related technologies based on machine learning modelling are valuable alternatives to predict transfusion probability taking into account patient individual risk factors including among others comorbidities, laboratory parameters, use of oral anticoagulation, ASA score, surgeon's ID or applied blood saving measures. Overall, forecasting the need for a RBC transfusion can facilitate personalized medicine, quality assurance, decrease blood wastage, decrease costs, and increase patient safety. Furthermore, transfusion prediction models could facilitate blood management strategies before surgery.

Optimization of a laparoscopic procedure for advanced intrahepatic cholangiocarcinoma based on the concept of "waiting time": a preliminary report

INTRODUCTION

Clinicians increasingly perform laparoscopic surgery for intrahepatic cholangiocarcinoma (ICC). However, this surgery can be difficult in patients with advanced-stage ICC because of the complicated procedures and difficulty in achieving high-quality results. We compared the effects of a three-step optimized procedure with a traditional procedure for patients with advanced-stage ICC.

METHODS

Forty-two patients with advanced-stage ICC who received optimized laparoscopic hemihepatectomy with lymph node dissection (LND, optimized group) and 84 propensity score-matched patients who received traditional laparoscopic hemihepatectomy plus LND (traditional group) were analyzed. Surgical quality, disease-free survival (DFS), and overall survival (OS) were compared.

RESULTS

The optimized group had a lower surgical bleeding score (P = 0.038) and a higher surgeon satisfaction score (P = 0.001). Blood loss during hepatectomy was less in the optimized group (190 vs. 295 mL, P < 0.001). The optimized group had more harvested LNs (12.0 vs. 8.0, P < 0.001) and more positive LNs (8.0 vs. 5.0, P < 0.001), and a similar rate of adequate LND (88.1% vs. 77.4%, P = 0.149). The optimized group had longer median DFS (9.0 vs. 7.0 months, P = 0.018) and median OS (15.0 vs. 13.0 months, P = 0.046). In addition, the optimized group also had a shorter total operation time (P = 0.001), shorter liver resection time (P = 0.001), shorter LND time (P < 0.001), shorter hospital stay (P < 0.001), and lower incidence of total morbidities (14.3% vs. 36.9%, P = 0.009).

CONCLUSIONS

Our optimization of a three-step laparoscopic procedure for advanced ICC was feasible, improved the quality of liver resection and LND, prolonged survival, and led to better intraoperative and postoperative outcomes.

Risk of bias of prognostic models developed using machine learning: a systematic review in oncology

BACKGROUND

Prognostic models are used widely in the oncology domain to guide medical decision-making. Little is known about the risk of bias of prognostic models developed using machine learning and the barriers to their clinical uptake in the oncology domain.

METHODS

We conducted a systematic review and searched MEDLINE and EMBASE databases for oncology-related studies developing a prognostic model using machine learning methods published between 01/01/2019 and 05/09/2019. The primary outcome was risk of bias, judged using the Prediction model Risk Of Bias ASsessment Tool (PROBAST). We described risk of bias overall and for each domain, by development and validation analyses separately.

RESULTS

We included 62 publications (48 development-only; 14 development with validation). 152 models were developed across all publications and 37 models were validated. 84% (95% CI: 77 to 89) of developed models and 51% (95% CI: 35 to 67) of validated models were at overall high risk of bias. Bias introduced in the analysis was the largest contributor to the overall risk of bias judgement for model development and validation. 123 (81%, 95% CI: 73.8 to 86.4) developed models and 19 (51%, 95% CI: 35.1 to 67.3) validated models were at high risk of bias due to their analysis, mostly due to shortcomings in the analysis including insufficient sample size and split-sample internal validation.

CONCLUSIONS

The quality of machine learning based prognostic models in the oncology domain is poor and most models have a high risk of bias, contraindicating their use in clinical practice. Adherence to better standards is urgently needed, with a focus on sample size estimation and analysis methods, to improve the quality of these models.

Methodological conduct of prognostic prediction models developed using machine learning in oncology: a systematic review

BACKGROUND

Describe and evaluate the methodological conduct of prognostic prediction models developed using machine learning methods in oncology.

METHODS

We conducted a systematic review in MEDLINE and Embase between 01/01/2019 and 05/09/2019, for studies developing a prognostic prediction model using machine learning methods in oncology. We used the Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD) statement, Prediction model Risk Of Bias ASsessment Tool (PROBAST) and CHecklist for critical Appraisal and data extraction for systematic Reviews of prediction Modelling Studies (CHARMS) to assess the methodological conduct of included publications. Results were summarised by modelling type: regression-, non-regression-based and ensemble machine learning models.

RESULTS

Sixty-two publications met inclusion criteria developing 152 models across all publications. Forty-two models were regression-based, 71 were non-regression-based and 39 were ensemble models. A median of 647 individuals (IQR: 203 to 4059) and 195 events (IQR: 38 to 1269) were used for model development, and 553 individuals (IQR: 69 to 3069) and 50 events (IQR: 17.5 to 326.5) for model validation. A higher number of events per predictor was used for developing regression-based models (median: 8, IQR: 7.1 to 23.5), compared to alternative machine learning (median: 3.4, IQR: 1.1 to 19.1) and ensemble models (median: 1.7, IQR: 1.1 to 6). Sample size was rarely justified (n = 5/62; 8%). Some or all continuous predictors were categorised before modelling in 24 studies (39%). 46% (n = 24/62) of models reporting predictor selection before modelling used univariable analyses, and common method across all modelling types. Ten out of 24 models for time-to-event outcomes accounted for censoring (42%). A split sample approach was the most popular method for internal validation (n = 25/62, 40%). Calibration was reported in 11 studies. Less than half of models were reported or made available.

CONCLUSIONS

The methodological conduct of machine learning based clinical prediction models is poor. Guidance is urgently needed, with increased awareness and education of minimum prediction modelling standards. Particular focus is needed on sample size estimation, development and validation analysis methods, and ensuring the model is available for independent validation, to improve quality of machine learning based clinical prediction models.

Development and Validation of a Nomogram to Predict the Risk of Blood Transfusion in Orthognathic Patients

OBJECTIVE

This study aims to establish a nomogram to predict the probability of blood transfusion in patients with preoperative autologous blood donation before orthognathic surgery.

METHODS

The authors conducted a retrospective case-control study on consecutive orthognathic patients with preoperative autologous blood donation from January 2014 to December 2020. The outcome variable was the actual transfusion of autologous blood (ATAB). Predictors included patients' demographics, preoperative blood cell test, vital signs, American Society of Anesthesiologists classification, surgical procedure, operation duration, and blood loss. Univariable and multivariable logistic regressions were performed to identify independent risk factors associated with ATAB. A nomogram was constructed to predict the risk for ATAB. The performance of the nomogram was evaluated using the area under the receiver operating characteristic curve, calibration curve and the consistency index.

RESULTS

A total of 142 patients (75 males and 67 females) with an average age of 22.72 ± 5.34 years donated autologous blood before their orthognathic surgery. Patients in the transfusion group (n = 56) had significantly lower preoperative red blood cell counts (4.74 ± 0.55 × 109/L versus 4.98 ± 0.45 × 109/L, P = 0.0063), hemoglobin (141.48 ± 15.18 g/dL versus 150.33 ± 14.73 g/dL, P = 0.0008), and hematocrit (41.05% ± 4.03% versus 43.32% ± 3.42%, P = 0.0006), more bimaxillary osteotomies (92.86% versus 56.98%, P < 0.001), longer operation duration (348.4 ± 111.10 minutes versus 261.6 ± 115.44 minutes, P < 0.001), and more intraoperative blood loss (629.23 ± 273.06 ml versus 359.53 ± 222.84 ml, P < 0.001) than their counterparts (n = 86) in the non-transfusion group. Univariable and multivariable logistic regression demonstrated that only hemoglobin (adjusted odds ratio [OR] 0.864, 95% confidence interval [CI]:0.76-0.98, P = 0.026), operation procedures (adjusted OR 8.14, 95% CI:1.69-39.16, P = 0.009), and blood loss (adjusted OR 1.006, 95% CI:1.002-1.009, P < 0.001) were independent risk factors for ATAB. The area under the receiver operating characteristic curve of the nomogram was 0.823. The consistency index of the nomogram was 0.823. The calibration curve illustrated that the nomogram was highly consistent with the actual observation.

CONCLUSIONS

The nomogram is a simple and useful tool with good accuracy and performance in predicting the risk for blood transfusion.

The impact of tranexamic acid on administration of red blood cell transfusions for resection of colorectal liver metastases

BACKGROUND

Red blood cell transfusions (RBCT) remain a concern for patients undergoing hepatectomy. The effect of tranexamic acid (TXA), an anti-fibrinolytic, on receipt of RBCT in colorectal liver metastases (CRLM) resection was examined.

METHODS

Hepatectomies for CRLM over 2009-2014 were included. Primary outcome was 30-day receipt of RBCT. Secondary outcomes were 30-day major morbidity (Clavien-Dindo III-V) and 90-day mortality. Multivariable modelling examined the adjusted association between TXA and outcomes.

RESULTS

Of 433 included patients, 146 (34%) received TXA. TXA patients were more likely to have inflow occlusion (41.8% vs. 23.1%; p < 0.01) and major hepatectomies (56.1% vs. 45.6%; p = 0.0193). TXA was independently associated with lower risk of RBCT (Relative risk (RR) 0.59; 95% confidence interval (95%CI): 0.42-0.85), but not with 30-day major morbidity (adjusted RR 1.02; 95%CI: 0.64-1.60) and 90-day mortality (univariable RR 0.99; 95%CI: 0.95-1.03).

CONCLUSION

Intraoperative TXA was associated with a 41% reduction in risk of 30 -day receipt of RBCT after hepatectomy for CRLM. This finding is important to potentially improve healthcare resource allocation and patient outcomes. Pending further evidence, intraoperative TXA may be an effective method of reducing RBCT in hepatectomy for CRLM.

A novel online calculator to predict perioperative blood transfusion in patients undergoing liver resection for hepatocellular carcinoma: an international multicenter study

BACKGROUND

To develop an easy-to-use model to predict the probability of perioperative blood transfusion (PBT) in patients undergoing liver resection for hepatocellular carcinoma (HCC).

METHOD

878 patients from Eastern Hepatobiliary Surgery Hospital of Shanghai were enrolled in the training cohort, while 691 patients from Tongji Hospital of Wuhan and 364 patients from two hospitals from Europe and America served as the Eastern and Western external validation cohorts, respectively. Independent predictors of PBT were identified and used for the nomogram construction. The predictive performance of the model was assessed using the concordance index (C-index) and calibration plot, and externally validated using the two independent cohorts. This model was compared with four currently available prediction risk scores.

RESULTS

Eight preoperative variables were identified as independent predictors of PBT, which were incorporated into the new nomogram model, with a C-index of 0.833 and a well-fitted calibration plot. The nomogram performed well on the externally Eastern and Western validation cohorts (C-indexes: 0.786 and 0.777). The discriminatory ability of the nomogram was superior to the four currently available prediction scores (C-indexes: 0.833 vs. 0.671-0.770). The nomogram was programmed into an online calculator, which is available at http://www.asapcalculate.top/Cal3_en.html.

CONCLUSION

A nomogram model, using an easy-to-access website, can be used to calculate the PBT risk and identify which patients undergoing HCC resection are at high risks of PBT and can benefit most by using blood conservation techniques.

Validation of predictive models identifying patients at risk for massive transfusion during liver transplantation and their potential impact on blood bank resource utilization

BACKGROUND

Intraoperative massive transfusion (MT) is common during liver transplantation (LT). A predictive model of MT has the potential to improve use of blood bank resources.

STUDY DESIGN AND METHODS

Development and validation cohorts were identified among deceased-donor LT recipients from 2010 to 2016. A multivariable model of MT generated from the development cohort was validated with the validation cohort and refined using both cohorts. The combined cohort also validated the previously reported McCluskey risk index (McRI). A simple modified risk index (ModRI) was then created from the combined cohort. Finally, a method to translate model predictions to a population-specific blood allocation strategy was described and demonstrated for the study population.

RESULTS

Of the 403 patients, 60 (29.6%) in the development and 51 (25.5%) in the validation cohort met the definition for MT. The ModRI, derived from variables incorporated into multivariable model, ranged from 0 to 5, where 1 point each was assigned for hemoglobin level of less than 10 g/dL, platelet count of less than 100 × 10⁹ /dL, thromboelastography R interval of more than 6 minutes, simultaneous liver and kidney transplant and retransplantation, and a ModRI of more than 2 defined recipients at risk for MT. The multivariable model, McRI, and ModRI demonstrated good discrimination (c statistic [95% CI], 0.77 [0.70-0.84]; 0.69 [0.62-0.76]; and 0.72 [0.65-0.79], respectively, after correction for optimism). For blood allocation of 6 or 15 units of red blood cells (RBCs) based on risk of MT, the ModRI would prevent unnecessary crossmatching of 300 units of RBCs/100 transplants.

CONCLUSIONS

Risk indices of MT in LT can be effective for risk stratification and reducing unnecessary blood bank resource utilization.

Conservation of both hematocrit and liver regeneration in hepatectomies: a vascular occlusion approach in rats

Background:

Hepatectomies promote considerable amount of blood loss and the need to administrate blood products, which are directly linked to higher morbimortality rates. The blood-conserving hepatectomy (BCH) is a modification of the selective vascular occlusion technique. It could be a surgical maneuver in order to avoid or to reduce the blood products utilization in the perioperative period.

Aim:

To evaluate in rats the BCH effects on the hematocrit (HT) variation, hemoglobin serum concentration (HB), and on liver regeneration.

Methods:

Twelve Wistar rats were divided into two groups: control (n=6) and intervention (n=6). The ones in the control group had their livers partially removed according to the Higgins and Anderson technique, while the rats in the treatment group were submitted to BCH technique. HT and HB levels were measured at day D0, D1 and D7. The rate between the liver and rat weights was calculated in D0 and D7. Liver regeneration was quantitatively and qualitatively evaluated.

Results:

The HT and HB levels were lower in the control group as of D1 onwards, reaching an 18% gap at D7 (p=0.01 and p=0.008, respectively); BCH resulted in the preservation of HT and HB levels to the intervention group rats. BCH did not alter liver regeneration in rats.

Conclusion:

The BCH led to beneficial effects over the postoperative HT and serum HB levels with no setbacks to liver regeneration. These data are the necessary proof of evidence for translational research into the surgical practice.

Abstract:

A) Unresected liver; B) liver appearance after the partial hepatectomy (1=vena cava; 2=portal vein; 3=hepatic vein; 4=biliary drainage; 5=hepatic artery)

Prediction of perioperative transfusions using an artificial neural network

BACKGROUND

Accurate prediction of operative transfusions is essential for resource allocation and identifying patients at risk of postoperative adverse events. This research examines the efficacy of using artificial neural networks (ANNs) to predict transfusions for all inpatient operations.

METHODS

Over 1.6 million surgical cases over a two year period from the NSQIP-PUF database are used. Data from 2014 (750937 records) are used for model development and data from 2015 (885502 records) are used for model validation. ANN and regression models are developed to predict perioperative transfusions for surgical patients.

RESULTS

Various ANN models and logistic regression, using four variable sets, are compared. The best performing ANN models with respect to both sensitivity and area under the receiver operator characteristic curve outperformed all of the regression models (p < .001) and achieved a performance of 70-80% specificity with a corresponding 75-62% sensitivity.

CONCLUSION

ANNs can predict >75% of the patients who will require transfusion and 70% of those who will not. Increasing specificity to 80% still enables a sensitivity of almost 67%. The unique contribution of this research is the utilization of a single ANN model to predict transfusions across a broad range of surgical procedures.

Impact of perioperative transfusion in patients undergoing resection of colorectal cancer liver metastases: A population-based study

BACKGROUND

Perioperative allogeneic blood transfusion is associated with poorer outcomes.

AIM

To identify the factors that were associated with perioperative transfusion and to examine the impact of perioperative transfusion in patients undergoing resection of colorectal cancer (CRC) liver metastases.

METHODS

The United States National Inpatient Sample (NIS) database was searched for patients with CRC who received surgery for liver metastasis. Linear and logistic regression analyses were performed.

RESULTS

A total of 2018 patients were included, and 480 had a perioperative transfusion. Emergency admission (adjusted odds ratio [aOR] = 1.42; 95%CI: 1.07-1.87), hepatic lobectomy (aOR = 1.76; 95%CI: 1.42-2.19), and chronic anemia (aOR = 2.62; 95%CI: 2.04-3.35) were associated with increased chances of receiving a transfusion, but receiving surgery at a teaching hospital (aOR = 0.75; 95%CI: 0.58-0.98) was associated with a decreased chance of receiving a transfusion. Receiving a perioperative transfusion was significantly associated with increased in-hospital mortality (aOR = 3.38; 95%CI: 1.57-7.25), and increased overall postoperative complications (aOR = 1.67; 95%CI: 1.31-2.13), as well as longer length of hospital stay

CONCLUSION

Patients with an emergency admission, hepatic lobectomy, chronic anemia, and who have surgery at a non-teaching hospital are more likely to receive a perioperative transfusion. Patients with CRC undergoing surgery for hepatic metastases who receive a perioperative transfusion are at a higher risk of in-hospital mortality, postoperative complications, and longer length of hospital stay.

Red blood cell transfusion in liver resection

BACKGROUND

Several modalities exist for the management of hepatic neoplasms. Resection, the most effective approach, carries significant risk of hemorrhage. Blood loss may be corrected with red blood cell transfusion (RBCT) in the short term, but may ultimately contribute to negative outcomes.

PURPOSE

Using available literature, we seek to define the frequency and risk factors of blood loss and transfusion following hepatectomy. The impact of blood loss and RBCT on short- and long-term outcomes is explored with an emphasis on peri-operative methods to reduce hemorrhage and transfusion.

RESULTS

Following hepatic surgery, 25.2-56.8% of patients receive RBCT. Patients who receive RBCT are at increased risk of surgical morbidity in a dose-dependent manner. The relationship between blood transfusion and surgical mortality is less apparent. RBCT might also impact long-term oncologic outcomes including disease recurrence and overall survival. Risk factors for bleeding and blood transfusion include hemoglobin concentration < 12.5 g/dL, thrombocytopenia, pre-operative biliary drainage, presence of background liver disease (such as cirrhosis), coronary artery disease, male gender, tumor characteristics (type, size, location, presence of vascular involvement), extent of hepatectomy, concomitant extrahepatic organ resection, and operative time. Strategies to mitigate blood loss or transfusion include pre-operative (iron, erythropoietin), intra-operative (vascular occlusion, parenchymal transection techniques, hemostatic agents, antifibrinolytics, low central pressure, hemodilution, autologous blood recycling), and post-operative (normothermia, correction of coagulopathy, optimization of nutrition, restrictive transfusion strategy) methods.

CONCLUSION

Blood loss during hepatectomy is common and several risk factors can be identified pre-operatively. Blood loss and RBCT during hepatectomy is associated with post-operative morbidity and mortality. Disease-free recurrence, disease-specific survival, and overall survival may be associated with blood loss and RBCT during hepatectomy. Attention to pre-operative, intra-operative, and post-operative strategies to reduce blood loss and RBCT is necessary.

Intraoperative cell salvage with autologous transfusion in elective right or repeat hepatectomy: a propensity-score-matched case-control analysis

BACKGROUND

Liver resection may be associated with substantial blood loss, and cell saver use has been recommended for patients at high risk. We performed a study to compare the allogenic erythrocyte transfusion rate after liver resection between patients who had intraoperative cell salvage with a cell saver device versus patients who did not. Our hypothesis was that cell salvage with autologous transfusion would reduce the allogenic blood transfusion rate.

METHODS

Cell salvage was used selectively in patients at high risk for intraoperative blood loss based on preoperatively known predictors: right and repeat hepatectomy. Patients who underwent elective right or repeat hepatectomy between Nov. 9, 2007, and Jan. 27, 2016 were considered for the study. Data were retrieved from a liver resection database and were analyzed retrospectively. Patients with cell saver use (since January 2013) constituted the experimental group, and those without cell salvage (2007-2012), the control group. To reduce selection bias, we matched propensity scores. The primary outcome was the allogenic blood transfusion rate within 90 days postoperatively. Secondary outcomes were the number of transfused erythrocyte units, and rates of overall and infectious complications.

RESULTS

Ninety-six patients were included in the study, 41 in the cell saver group and 55 in the control group. Of the 96, 64 (67%) could be matched, 32 in either group. The 2 groups were balanced for demographic and clinical variables. The allogenic blood transfusion rate was 28% (95% confidence interval [CI] 12.5%-43.7%) in the cell saver group versus 72% (95% CI 56.3%-87.5%) in the control group (p < 0.001). The overall and infectious complication rates were not significantly different between the 2 groups.

CONCLUSION

Intraoperative cell salvage with autologous transfusion in elective right or repeat hepatectomy reduced the allogenic blood transfusion rate.

Distinct risk factors for early and late blood transfusion following pancreaticoduodenectomy

BACKGROUND

The International Study Group of Pancreatic Surgery (ISGPS) has defined two periods of postpancreatectomy hemorrhage, early (<24 h) and late (>24 h). A previously published Blood Usage Risk Score (BURS) aimed to predict early and late blood transfusion. The primary aim of this study was to define risk factors for early and late blood transfusion after pancreaticoduodenectomy. Secondary aims were to assess the predictive accuracy of the BURS.

METHODS

In this retrospective observational study, multivariable analyses were used to identify independent risk factors for both early and late blood transfusion. The predictive ability of the BURS was then assessed using a receiver operating characteristic (ROC) curve analysis.

RESULTS

Among 628 patients, 99 (15.8%) and 144 (22.9%) received early and late blood transfusion, respectively. Risk factors for blood transfusion differed between early and late periods. Preoperative anemia and venous resection were associated with early blood transfusion whilst Whipple's resection (as opposed to pylorus preserving pancreaticoduodenectomy), lack of biliary stent and a narrow pancreatic duct were predictors of late blood transfusion. The BURS was significantly predictive of early blood transfusion, albeit with a modest degree of accuracy (AUROC: 0.700, P < 0.001), but not of late blood transfusion (AUROC: 0.525, P = 0.360). Late blood transfusion was independently associated with increasing severity of postoperative pancreatic fistula (POPF) (OR: 1.85, 3.18 and 9.97 for biochemical, types B and C POPF, respectively, relative to no POPF).

CONCLUSIONS

Two largely different sets of variables are related to early and late blood transfusion following pancreaticoduodenectomy. The BURS was significantly associated with early, albeit with modest predictive accuracy, but not late blood transfusion. An understanding of POPF risk allows assessment of the need for late blood transfusion.

Three point transfusion risk score in hepatectomy: an external validation using the American College of Surgeons - National Surgical Quality Improvement Program (ACS-NSQIP)

BACKGROUND

Risk of red blood cell transfusion (RBCT) in partial hepatectomy is 17-27%; strategies to reduce transfusions can be targeted in patients at increased risk. A Three Point Transfusion Risk Score (TRS) was previously developed to predict patients' risk of transfusion during and following hepatectomy. Here, it was subject to external validation using the ACS-NSQIP database.

METHODS

TRIPOD guidelines were followed. A validation cohort was created with the ACS-NSQIP dataset. Risk groups for RBCT were created using the TRS: anemia (hematocrit ≤36%), major liver resection (≥4 segments) and primary liver malignancy. Concordance index was used to assess the discrimination. The Hosmer-Lemeshow test for goodness of fit and calibration curves were used to assess calibration.

RESULTS

Of 2854 hepatectomies, 18.9% received RBCT. The TRS stratified patients from low (8.5% risk of RBCT) to very high risk (40.6%) of RBCT. The concordance was 0.68 (95% CI 0.66-0.70). Hosmer-Lemeshow test and calibration curves supported good predictive performance of the model.

CONCLUSION

The TRS adequately discriminated risk of RBCT in an external sample of patients undergoing hepatectomy. It provides a simple method to identify patients at high transfusion risk. It can be used to tailor patient blood management initiatives and reduce the use of RBCT.

Validation of a Nomogram to Predict the Risk of Perioperative Blood Transfusion for Liver Resection

BACKGROUND

Nomograms may be important clinical tools to estimate the preoperative risk of transfusion and allow for preemptive arrangements for alternatives to allogeneic blood transfusions.

METHODS

A multicentric international cohort of 1345 patients who underwent hepatectomy for benign or malign liver diseases was used to validate a nomogram developed by the Memorial Sloan-Kettering Cancer Center.

RESULTS

A total of 449 (33.3 %) patients received a blood transfusion after hepatectomy. Several variables were associated with the need of transfusion on univariate analysis: age, BMI, hemoglobin, PT-INR, bilirubin, AST, ALT, GGT, albumin, primary liver cancer, and number of segments resected. The MSKCC nomogram, including the number of segments resected, diagnosis (primary vs. non-primary), extrahepatic organ resection, as well as platelet and hemoglobin levels, had a good predictive ability (AUC = 0.69). The frequency of patients transfused ranged from 19 % for patients who were at "low risk" (<20 % risk to be transfused) up to 68 % for patients at "high risk" (>70 % risk to be transfused). The nomogram was tested in a multivariable model including other factors associated with risk of transfusion. The final model included age (OR 1.02, 95 % CI 1.01-1.03, p < 0.001), PT-INR (OR 1.54, 95 % CI 1.01-2.36, p = 0.048), and bilirubin (OR 1.86, 95 % CI 1.09-3.18, p = 0.021). The prediction ability for the integrated prediction model was AUC = 0.73.

CONCLUSION

The MSKCC nomogram was an effective clinical tool able to predict the perioperative risk of transfusion in our independent external validation. The inclusion of patient age, as well as factors associated with liver functional status (bilirubin and PT-INR), improved the predictive ability of the MSKCC nomogram.

Three-point transfusion risk score in hepatectomy

BACKGROUND

Perioperative red blood cell transfusions are required in up to 23 per cent of patients undergoing hepatectomy. Previous research has developed three transfusion risk scores to assess risk of perioperative red blood cell transfusion. Here, the performance of these transfusion risk scores was evaluated in a multicentre cohort of patients who underwent hepatectomy and compared with that of a simplified transfusion risk score.

METHODS

A database of patients undergoing hepatectomy at four specialized centres between 2008 and 2012 was developed. External validity was assessed by discrimination and calibration. Discrimination was evaluated using the area under the receiver operating characteristic (ROC) curve (AUC). Calibration was evaluated by the degree of agreement between predicted and actual red blood cell transfusion probabilities. A simplified transfusion risk score using variables common to the three models was created, and discrimination and calibration were evaluated.

RESULTS

There were 1287 patients included in this study, with 341 (26·5 per cent) receiving a red blood cell transfusion. Discriminative ability was similar between the three transfusion risk scores, with AUCs of 0·66-0·68 and good calibration. A new three-point risk score was developed based on factors present in all models: haemoglobin 12·5 g/dl or less, primary liver malignancy and major resection (at least 4 segments). Discriminative ability and calibration of the three-point model were similar to those of the three existing models, with an AUC of 0·66.

CONCLUSION

The three-point transfusion risk score simplifies assessment of perioperative transfusion risk in hepatectomy without sacrificing predictive ability.

Use of a saline-coupled bipolar sealer open liver resection for hepatic malignancy: Medical resource use and costs

AIM

To evaluate outcomes associated with use of a saline coupled bipolar sealer during open partial liver resection.

METHODS

This retrospective analysis utilized the United States Premier™ insurance claims database (2010-2014). Patients were selected with codes for liver malignancy and partial hepatectomy or lobectomy. Cases were defined by use the saline-coupled bipolar sealer; controls had no use. A Propensity Score algorithm was used to match one case to five controls. A deviation-based cost modeling (DBCM) approach provided an estimate of cost-effectiveness.

RESULTS

One hundred and forty-four cases and 720 controls were available for analysis. Patients in the case cohort received fewer transfusions vs controls (18.1% vs 29.4%, P = 0.007). In DBCM, more patients in the case cohort experienced “on-course” hospitalizations (53.5% vs 41.9%, P = 0.009). The cost calculation showed an average savings in total hospitalization costs of $1027 for cases vs controls. In multivariate analysis, cases had lower odds of receiving a transfusion (OR = 0.44, 95%CI: 0.27-0.71, P = 0.0008).

CONCLUSION

Use of a saline-coupled bipolar sealer was associated with a greater proportion of patients with an “on course” hospitalization.

Reducing inflow occlusion, occlusion duration and blood loss during hepatic resections

BACKGROUND

To assess the changes in blood loss during hepatic resection with improved haemostatic devices such as a bipolar sealing device and a topical haemostatic agent.

METHODS

This retrospective clinical study of prospectively collected data will assess hepatic resections performed by a single surgeon between 2005 and 2013, with the introduction of the two haemostatic techniques in 2009.

RESULTS

A total of 371 hepatic resections (214 from 2005 to 2008 and 157 from 2009 to 2013) were included in this study. Compared with the conventional hepatic resection (2005-2008), the use of haemostatic techniques (2009-2013) significantly reduced the need for inflow occlusion (OR: 0.37, 95% CI: 0.24-0.57, P < 0.001), overall occlusion time (20.8 min versus 25.9 min, P = 0.04) and transfusion requirement (4.6% versus 12%, OR: 0.35, 95% CI: 0.14-0.90, P = 0.02). Mean overall blood loss was reduced post-2009; however, the decrease was not statistically different (401.3 mL versus 470.8 mL, P = 0.27). Subgroup analysis revealed that blood loss was more than halved post-2009 compared with pre-2009 for patients who received pre-operative chemotherapy (324.6 mL versus 738.5 mL, P = 0.005).

CONCLUSION

The use of a bipolar sealing device and a topical haemostatic agent reduces the need for inflow occlusion, overall occlusion time and transfusions in all patients compared with conventional hepatic resections.

Blood transfusion is an independent predictor of morbidity and mortality after hepatectomy

BACKGROUND

Previous studies have indicated that blood transfusion is associated with increased risk of worse outcomes among patients selected for hepatectomy. However, the independent effect of transfusion has not been confirmed. We hypothesize that blood transfusion is an independent factor that affects outcomes in patients undergoing hepatectomy.

MATERIALS AND METHODS

Patients at tertiary care center who underwent hepatectomy between 2006 and 2013 were identified and linked with the American College of Surgeons National Surgical Quality Improvement Program PUF data set. Multivariable logistic regression analysis was used to estimate the effect of blood transfusion on 30-d mortality and morbidity, adjusted for differences in extent of resection and estimated probabilities of morbidity and mortality.

RESULTS

Among 522 patients in the study, 48 (9.2%) patients required perioperative blood transfusion within 72 h of resection, and 172 (33%) underwent major hepatectomy. Indications for hepatectomy included metastatic neoplasm (n = 229, 44%), primary hepatic neoplasm (n = 108, 21%), primary extra-hepatic biliary neoplasm (n = 23, 4%), and nonmalignant indications (n = 162, 31%). Eighty-eight (17%) patients had a postoperative morbidity. Blood transfusion was significantly associated with postoperative morbidity (odds ratio [OR] = 4.18, 95% CI = 2.18-8.02, P = 0.0001) and mortality (OR = 14.5, 95% CI = 3.08-67.8, P = 001), after adjustment for the concurrent effect of National Surgical Quality Improvement Program estimated probability of morbidity (OR = 1.15, 95% CI = 0.11-12.2, P = 0.042). The extent of resection was not significantly associated with morbidity (OR = 1.30, 95% CI, 0.74-2.28, P = 0.366) or mortality (OR = 1.14, 95% CI = 0.24-5.50, P = 0.870).

CONCLUSIONS

Blood transfusion is a highly statistically significant independent predictor of morbidity and mortality after hepatectomy. Judicious use of perioperative transfusion is indicated in patients with benign and malignant indications for liver resection.

Nomogram to predict perioperative blood transfusion for hepatopancreaticobiliary and colorectal surgery

Background

Predictive tools assessing risk of transfusion have not been evaluated extensively among patients undergoing complex gastrointestinal surgery. In this study preoperative variables associated with blood transfusion were incorporated into a nomogram to predict transfusion following hepatopancreaticobiliary (HPB) or colorectal surgery.

Methods

A nomogram to predict receipt of perioperative transfusion was developed using a cohort of patients who underwent HPB or colorectal surgery between January 2009 and December 2014. The discriminatory ability of the nomogram was tested using the area under the receiver operating characteristic (ROC) curve and internal validation performed via bootstrap resampling.

Results

Among 4961 patients undergoing either a HPB (56·3 per cent) or colorectal (43·7 per cent) resection, a total of 1549 received at least 1 unit of packed red blood cells, giving a perioperative transfusion rate of 31·2 per cent. On multivariable analysis, age 65 years and over (odds ratio (OR) 1·52), race (versus white: black, OR 1·58; Asian, OR 1·86), preoperative haemoglobin 8·0 g/dl or less (versus over 12·0 g/dl: OR 26·79), preoperative international normalized ratio more than 1·2 (OR 2·44), Charlson co-morbidity index score over 3 (OR 1·86) and procedure type (versus colonic surgery: major hepatectomy, OR 1·71; other pancreatectomy, OR 2·12; rectal surgery, OR 1·39; duodenopancreatectomy, OR 2·65) were associated with a significantly higher risk of transfusion and were included in the nomogram. A nomogram was constructed to predict transfusion using these seven variables. Discrimination and calibration of the nomogram revealed good predictive abilities (area under ROC curve 0·756).

Conclusion

The nomogram predicted blood transfusion in major HPB and colorectal surgery.

A decision model and cost analysis of intra-operative cell salvage during hepatic resection

BACKGROUND

Intraoperative cell salvage (ICS) can reduce allogeneic transfusions but with notable direct costs. This study assessed whether routine use of ICS is cost minimizing in hepatectomy and defines a subpopulation of patients where ICS is most cost minimizing based on patient transfusion risk.

METHODS

A decision model from a health systems perspective was developed to examine adoption and non-adoption of ICS use for hepatectomy. A prospectively maintained database of hepatectomy patients provided data to populate the model. Probabilistic sensitivity analysis was used to determine the probability of ICS being cost-minimizing at specified transfusion risks. One-way sensitivity analysis was used to identify factors most relevant to institutions considering adoption of ICS for hepatectomies.

RESULTS

In the base case analysis (transfusion risk of 28.8%) the probability that routine utilization of ICS is cost-minimizing is 64%. The probability that ICS is cost-minimizing exceeds 50% if the patient transfusion risk exceeds 25%. The model was most sensitive to patient transfusion risk, variation in costs of allogeneic blood, and number of appropriate cases the device could be used for.

CONCLUSIONS

ICS is cost-minimizing for routine use in liver resection, particularly when used for patients with a risk of transfusion of 25% or greater.

Impact of totally laparoscopic combined management of colorectal cancer with synchronous hepatic metastases on severity of complications: a propensity-score-based analysis

BACKGROUND

Thanks to widespread diffusion of minimally invasive approach in the setting of both colorectal and hepatic surgeries, the interest in combined resections for colorectal cancer and synchronous liver metastases (SCLM) by totally laparoscopic approach (TLA) has increased. Aim of this study was to compare outcome of combined resections for SCLM performed by TLA or by open approach, in a propensity-score-based study.

STUDY DESIGN

All 25 patients undergoing combined TLA for SCLM at San Raffaele Hospital in Milano were compared in a case-matched analysis with 25 out of 91 patients undergoing totally open approach (TOA group). Groups were matched with 1:2 ratio using propensity scores based on covariates representing disease severity. Main endpoints were postoperative morbidity and long-term outcome. The Modified Accordion Severity Grading System was used to quantify complications.

RESULTS

The groups resulted comparable in terms of patients and disease characteristics. The TLA group, as compared to the TOA group, had lower blood loss (350 vs 600 mL), shorter postoperative stay (9 vs 12 days), lower postoperative morbidity index (0.14 vs 0.20) and severity score for complicated patients (0.60 vs 0.85). Colonic anastomosis leakage had the highest fractional complication burden in both groups. In spite of comparable long-term overall survival, the TLA group had better recurrence-free survival.

CONCLUSION

TLA for combined resections is feasible, and its indications can be widened to encompass a larger population of patients, provided its benefits in terms of reduced overall risk and severity of complications, rapid functional recovery and favorable long-term outcomes.

The impact of perioperative red blood cell transfusions in patients undergoing liver resection: a systematic review protocol

BACKGROUND

Liver resection is commonly performed for malignant and benign disease and is associated with frequent use of intraoperative and postoperative blood transfusions. Blood transfusions are potentially life-saving, but they have many adverse effects; some well understood, and others less so. Some of the poorly understood side effects include increased risk of postoperative complications and possibly worse oncologic outcomes. The objective of this systematic review is to provide estimates of transfusion prevalence and the effects of perioperative blood transfusion on postoperative mortality and morbidity and long-term cancer outcomes in patients undergoing liver resection.

METHODS/DESIGN

The Cochrane, Medline, and EMBASE databases will be searched for any randomized controlled trial or observational cohort study comparing liver resection patients that received intraoperative or postoperative allogeneic red blood cell transfusions to those who did not. Outcomes include postoperative mortality, postoperative morbidity (infectious, liver failure, renal failure, cardiovascular/cerebrovascular events, and thromboembolic events), and long-term disease-free and overall survival. Only studies with adult, human patients (>18 years old) undergoing liver resection, in which the primary intervention of interest is blood transfusion will be included. Data will be extracted by two reviewers in duplicate and synthesized into a narrative review. Risk of bias will be assessed. When clinically and methodologically appropriate, meta-analysis will be performed.

DISCUSSION

Our review will synthesize the literature pertaining to the potential beneficial and detrimental effects of red blood cell transfusion in patients undergoing liver resection. It will be an important step in the development of guidelines for the appropriate use of blood transfusions in patients undergoing liver resection.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42015026132.

Development and validation of a predictive score for perioperative transfusion in patients with hepatocellular carcinoma undergoing liver resection

BACKGROUND

Liver resection is a major surgery requiring perioperative blood transfusion. Predicting the need for blood transfusion for patients undergoing liver resection is of great importance. The present study aimed to develop and validate a model for predicting transfusion requirement in HBV-related hepatocellular carcinoma patients undergoing liver resection.

METHODS

A total of 1543 consecutive liver resections were included in the study. Randomly selected sample set of 1080 cases (70% of the study cohort) were used to develop a predictive score for transfusion requirement and the remaining 30% (n=463) was used to validate the score. Based on the preoperative and predictable intraoperative parameters, logistic regression was used to identify risk factors and to create an integer score for the prediction of transfusion requirement.

RESULTS

Extrahepatic procedure, major liver resection, hemoglobin level and platelets count were identified as independent predictors for transfusion requirement by logistic regression analysis. A score system integrating these 4 factors was stratified into three groups which could predict the risk of transfusion, with a rate of 11.4%, 24.7% and 57.4% for low, moderate and high risk, respectively. The prediction model appeared accurate with good discriminatory abilities, generating an area under the receiver operating characteristic curve of 0.736 in the development set and 0.709 in the validation set.

CONCLUSIONS

We have developed and validated an integer-based risk score to predict perioperative transfusion for patients undergoing liver resection in a high-volume surgical center. This score allows identifying patients at a high risk and may alter transfusion practices.

Assessment of the external validity of a predictive score for blood transfusion in liver surgery

BACKGROUND

Perioperative bleeding is a predictor of morbidity following liver resection. The transfusion-related score (TRS), which is derived from five variables (cirrhosis, preoperative haemoglobin level, tumour size, vena cava exposure and associated extraliver surgical procedure), has been proposed to predict the likelihood of transfusion in liver resection.

OBJECTIVE

The purpose of this observational study was to evaluate the external validity of the TRS.

METHODS

In a retrospective, monocentre, observational cohort study of patients undergoing elective liver resection surgery, data for transfused and non-transfused patients were compared by univariate analysis. The TRS was calculated for each patient. The frequency of transfusion was calculated for each score level. The accuracy of the TRS was evaluated using the area under the receiver operator characteristic curve (AUC).

RESULTS

A total of 205 patients submitted to liver resection were included. Of these, 48 (23.4%) patients received a blood transfusion. There was no significant difference between transfused and non-transfused patients in age, American Society of Anesthesiologists (ASA) score or cirrhosis. The AUC for the TRS was 0.68 (95% confidence interval 0.59-0.77). Among TRS items, only vena cava exposure and associated surgical procedures were significantly associated with risk for transfusion.

CONCLUSIONS

In the present population, the TRS appeared to serve as a weak predictor of perioperative transfusion. This study confirms that the external validity of the transfusion predictive score should be subject to further investigation before it can be implemented in clinical use.

The Impact of Perioperative Red Blood Cell Transfusions on Long-Term Outcomes after Hepatectomy for Colorectal Liver Metastases

BACKGROUND

Red blood cell transfusions (RBCTs) are associated with cancer recurrence following resection of colorectal cancer. Their impact after colorectal liver metastases (CRLM) resection remains debated. We sought to explore the association between perioperative RBCT and oncologic outcomes following resection of CRLM.

METHODS

We reviewed patients undergoing partial hepatectomy for CRLM from 2003 to 2012 at a single institution. Date of death was abstracted from a validated population-based cancer registry. Primary outcome was overall survival (OS). Secondary outcome was recurrence-free survival (RFS). Survivals were estimated using Kaplan-Meier methods and compared with log-rank test based on transfusion status. Cox regression analysis examined the association of RBCT with OS and RFS, while adjusting for age, preoperative chemotherapy, Clinical Risk Score, and period of treatment (2003-2007 vs. 2008-2012).

RESULTS

Among 483 patients, 27.5 % received RBCT. Ninety-day postoperative mortality was 4.8 %. At median follow-up of 33 (interquartile range 20.1-54.8) months, 5-year OS was inferior in transfused patients (45.9 vs. 61.0 %; p < 0.0001). Five-year RFS was decreased with RBCT (15.5 vs. 31.6 %; p < 0.0001). The difference persisted when considering only 90-day survivors for 5-year OS (53.1 vs. 61.9 %, p = 0.023) and RFS (15.6 vs. 31.6 %; p < 0.0001). After adjustment for prognostic factors, RBCT was independently associated with decreased OS (hazard ratio 2.24; 95 % confidence interval 1.60-3.15) and RFS (hazard ratio 1.71; 95 % confidence interval 1.28-2.28).

CONCLUSIONS

Perioperative RBCT is independently associated with decreased OS and RFS following hepatectomy for CRLM. Interventions to minimize and rationalize the use of RBCT for hepatectomy are warranted to mitigate this detrimental effect on long-term outcomes.

Effectiveness of non-cardiac preoperative testing in non-cardiac elective surgery: a systematic review

Elective surgery is usually preceded by preoperative diagnostics to minimize risk. The results are assumed to elicit preventive measures or even cancellation of surgery. Moreover, physicians perform preoperative tests as a baseline to detect subsequent changes. This systematic review aims to explore whether preoperative testing leads to changes in management or reduces perioperative mortality or morbidity in unselected patients undergoing elective, non-cardiac surgery. We systematically searched all relevant databases from January 2001 to February 2011 for studies investigating the relationship between preoperative diagnostics and perioperative outcome. Our methodology was based on the manual of the Ludwig Boltzmann Institute for Health Technology Assessment, the Scottish Intercollegiate Guidelines Network (SIGN) handbook, and the PRISMA statement for reporting systematic reviews. One hundred and one of the 25 281 publications retrieved met our inclusion criteria. Three test grid studies used a randomized controlled design and 98 studies used an observational design. The test grid studies show that in cataract surgery and ambulatory surgery, there are no significant differences between patients with indicated preoperative testing and no testing regarding perioperative outcome. The observational studies do not provide valid evidence that preoperative testing is beneficial in healthy adults undergoing non-cardiac surgery. There is no evidence derived from high-quality studies that supports routine preoperative testing in healthy adults undergoing non-cardiac surgery. Testing according to pathological findings in a patient's medical history or physical examination seems justified, although the evidence is scarce. High-quality studies, especially large randomized controlled trials, are needed to explore the effectiveness of indicated preoperative testing.

Anesthetic Considerations in Hepatectomies under Hepatic Vascular Control

Background. Hazards of liver surgery have been attenuated by the evolution in methods of hepatic vascular control and the anesthetic management. In this paper, the anesthetic considerations during hepatic vascular occlusion techniques were reviewed. Methods. A Medline literature search using the terms "anesthetic," "anesthesia," "liver," "hepatectomy," "inflow," "outflow occlusion," "Pringle," "hemodynamic," "air embolism," "blood loss," "transfusion," "ischemia-reperfusion," "preconditioning," was performed. Results. Task-orientated anesthetic management, according to the performed method of hepatic vascular occlusion, ameliorates the surgical outcome and improves the morbidity and mortality rates, following liver surgery. Conclusions. Hepatic vascular occlusion techniques share common anesthetic considerations in terms of preoperative assessment, monitoring, induction, and maintenance of anesthesia. On the other hand, the hemodynamic management, the prevention of vascular air embolism, blood transfusion, and liver injury are plausible when the anesthetic plan is scheduled according to the method of hepatic vascular occlusion performed.

Laparoendoscopic single site (LESS) surgery for left-lateral hepatic sectionectomy as an alternative to traditional laparoscopy: case-matched analysis from a single center

BACKGROUND

Laparoscopy is considered the "gold standard" to perform left-lateral sectionectomy with results identical to those of open surgery, yielding decreased postoperative pain and disability, reduced hospital stay, and shortened patient recovery time. As the emphasis on minimizing the invasiveness of surgical techniques continues, laparoendoscopic single site (LESS) surgery is quickly evolving. The purpose of this study was to compare the results of laparoscopic left-lateral sectionectomy performed using the traditional approach or LESS approach with a case-matched analysis for tumor size, type of resection, and surgical indications.

METHODS

Thirteen patients who underwent LESS left-lateral sectionectomy are considered the study group (LESS group) and compared with 13 patients who underwent left-lateral sectionectomy with traditional laparoscopic approach (conventional group).

RESULTS

There were no significant differences between groups for length of surgery (165 min in conventional group vs. 195 min in LESS group), blood loss (150 mL in conventional group vs. 175 mL in LESS group), conversion to open surgery, histological tumor exposure, and requirements of postoperative analgesics. One patient in the LESS group died of cardiac failure due to an unknown severe aortic valve stenosis. No differences were recorded for postoperative complications (23.1% in both groups) and median length of postoperative stay (4 days in both groups).

CONCLUSIONS

For left-lateral hepatic sectionectomy, LESS surgery is technically feasible and as safe as traditional laparoscopic surgery in terms of intraoperative and postoperative results, even though requiring both hepatobiliary and laparoscopic technique experience.

LESS technique for liver resection: the progress of the mini-invasive approach: a single-centre experience

INTRODUCTION

During the last years, the safety and efficacy of the laparoscopic approach for liver masses located in the left lobe have been demonstrated, encouraging the mini-invasive approach and, in more recent times, the LESS technique (Laparo Endoscopic Single Site), in an attempt to reduce the biological invasiveness related to surgical trauma.

MATERIAL AND METHODS

From January 2009 to December 2010, 39 patients underwent laparoscopic liver resection at our institution. In 14 of these, the LESS technique was used. The aim of our study is to evaluate the short-term outcome of this group of patients.

RESULTS

We recorded the following results: Mean operative time of 187 min (range 145-420 min), mean intraoperative blood loss of 214 ml (range 50-700 ml), postoperative morbidity rate of 21.4%, one postoperative death (related to acute heart failure related to severe aortic valve stenosis). Excluding this patient from the statistical analysis, the morbidity rate was 14.3%. The median hospital stay was five days.

DISCUSSION

The LESS technique for liver resections is safe and effective in selected patients and in centres with high expertise in laparoscopic liver surgery.

Advantage of autologous blood transfusion in surgery for hepatocellular carcinoma

AIM: To evaluate the significance of autologous blood transfusion (AT) in reducing homologous blood transfusion (HT) in surgery for hepatocellular carcinoma (HCC).

METHODS: The proportion of patients who received HT was compared between two groups determined by the time of AT introduction; period A (1991-1994, n = 93) and period B (1995-2000, n = 201). Multivariate logistic regression analysis was performed in order to identify independent significant predictors of the need for HT. We also investigated the impact of AT and HT on long-term postoperative outcome after curative surgery for HCC.

RESULTS: The proportion of patients with HT was significantly lower in period B than period A (18.9% vs 60.2%, P < 0.0001). Multivariate logistic regression analysis identified AT administration as a significant independent predictor of the need for HT (P < 0.0001). Disease-free survival in patients with AT was comparable to that without any transfusion. Multivariate analysis identified HT administration as an independent significant factor for poorer disease-free survival (P = 0.0380).

CONCLUSION: AT administration significantly decreased the need for HT. Considering the postoperative survival disadvantage of HT, AT administration could improve the long-term outcome of HCC patients.

Peri-operative blood transfusion and operative time are quality indicators for pancreatoduodenectomy

BACKGROUND

Minimization of blood loss during pancreatoduodenectomy requires careful surgical technique and specific preventative measures. Therefore, red blood cell (RBC) transfusions and operative time are potential surgical quality indicators. The aim of the present study was to compare peri-operative RBC transfusion and operative time with 30-day morbidity/mortality after pancreatoduodenectomy.

METHODS

All pancreatoduodenectomies (2005 to 2008) were identified using the American College of Surgeons-National Surgical Quality Improvement Program (ACS-NSQIP). RBC transfusions and operative time were correlated with 30-day morbidity/mortality.

RESULTS

Pancreatoduodenectomy was completed in 4817 patients. RBC transfusions were given to 1559 (32%) patients (1-35 units). Overall morbidity and mortality rates were 37% and 3.0%, respectively. Overall 30-day morbidity increased in a stepwise manner with the number of RBC transfusions (R = 0.69, P < 0.01). Although RBC transfusions and operative times were not statistically linked (P = 0.87), longer operative times were linearly associated with increased 30-day morbidity (R = 0.79, P < 0.001) and mortality (R = 0.65, P < 0.01). Patients who were not transfused also displayed less morbidity (33%) and mortality (1.9%) (P < 0.05).

DISCUSSION

Peri-operative RBC transfusion after pancreatoduodenectomy is linearly associated with 30-day morbidity. Longer operative time also correlates with increased morbidity and mortality. Therefore, blood transfusions and prolonged operative time should be considered quality indicators for pancreatoduodenectomy.