Next Article in Journal
Analysis of Molecular Imaging Biomarkers Derived from [18F]FDG PET/CT in mCRPC: Whole-Body Total Lesion Glycolysis (TLG) Predicts Overall Survival in Patients Undergoing [225Ac]Ac-PSMA-617-Augmented [177Lu]Lu-PSMA-617 Radioligand Therapy
Next Article in Special Issue
Impact of MASLD on Portal Vein Thrombosis Following Hepatectomy for Liver Cancer
Previous Article in Journal
Risk-Stratified Radiotherapy in Pediatric Cancer
Previous Article in Special Issue
Study International Multicentric Pancreatic Left Resections (SIMPLR): Does Surgical Approach Matter?
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Intraoperative Allogeneic Blood Transfusion Has No Impact on Postoperative Short-Term Outcomes After Pancreatoduodenectomy for Periampullary Malignancies: A Propensity Score Matching Analysis and Mediation Analysis

1
Department of Surgery, Kantonsspital St. Gallen, 9007 St. Gallen, Switzerland
2
Department of Surgery and Transplantation, Swiss HPB & Transplant Center Zurich, University Hospital Zurich, 8091 Zürich, Switzerland
3
Department of Surgery, Clarunis—University Centre for Gastrointestinal and Hepatopancreatobiliary Diseases, 4031 Basel, Switzerland
*
Author to whom correspondence should be addressed.
Cancers 2024, 16(20), 3531; https://doi.org/10.3390/cancers16203531
Submission received: 23 September 2024 / Revised: 12 October 2024 / Accepted: 17 October 2024 / Published: 18 October 2024
(This article belongs to the Special Issue Clinical Surgery for Hepato-Pancreato-Biliary (HPB) Cancer)

Abstract

:

Simple Summary

The effect of a perioperative blood transfusion on the postoperative short-term outcomes of patients with periampullary malignancies following pancreatoduodenectomy is still a topic of debate within the literature. To address this issue, a partial correlation and mediation analysis were integrated with propensity score matching and weighting, with the objective of examining the influence of intraoperative blood transfusions on postoperative outcomes. After adjusting for intraoperative blood loss, intraoperative transfusion was not found to be associated with postoperative complications in patients undergoing pancreatoduodenectomy. From a clinical perspective, this finding has important implications, as it allows for the consideration of transfusions in pancreatoduodenectomy patients on an as-needed basis, with the confidence that this will not adversely impact postoperative outcomes.

Abstract

Background/Objectives: The aim of this study was to investigate the association between intraoperative blood transfusion (BT) and the short-term outcomes of pancreatoduodenectomy (PD) for patients with periampullary malignancies. Methods: In a retrospective two-center cohort analysis, we utilized a logistic and mixed-effects ordinal regression, nonparametric partial correlation, and mediation analysis, complemented by propensity score matching (PSM) and weighting. Results: A total of 491 patients were included. Of these, 18 (3.7%) received an intraoperative BT. An intraoperative BT was associated with blood loss (odds ratio (OR) per 100 mL = 1.42; 95% CI 1.27 to 1.62; p < 0.001) and relatively high ASA classes (OR = 3.75; 95% CI 1.05 to 17.74; p = 0.041). Intraoperative blood loss (r = 0.27; p < 0.001) but not intraoperative BT (r = 0.015; p = 0.698) was associated with postoperative complications. Intraoperative BT was associated with postoperative complications according to the unadjusted regression (OR = 1.95; 95% CI 1.38–2.42, p < 0.001) but not the multivariable ordinal regression. In the mediation analysis for relative risk (RR), intraoperative BT was beneficial (RR = 0.51; 95% CI: 0.01–0.78), and blood loss (RR = 2.49; 95% CI: 1.75–177.34) contributed to the occurrence of major postoperative complications. After PSM, analyses revealed that an intraoperative BT did not have a significant impact on the rates of postoperative major complications (OR = 1.048; p = 0.919), clinically relevant postoperative pancreatic fistula (OR = 0.573; p = 0.439) or postoperative 90-day mortality (OR = 0.714; p = 0.439). Conclusions: When adjusting for intraoperative blood loss, intraoperative BT is not associated with postoperative complications.

1. Introduction

Pancreatoduodenectomy (PD) with regional lymph node dissection represents the only curative treatment for periampullary malignancies. Patients presenting with periampullary carcinoma have an increased risk of perioperative anemia, which necessitates the administration of a perioperative allogeneic blood transfusion (BT). This outcome results from blood loss due to the underlying disease and bone marrow suppression resulting from neoadjuvant treatments [1]. Furthermore, the performance of PD can result in substantial intraoperative blood loss, so a perioperative BT may be required [2].
The impact of a perioperative BT on the postoperative short-term outcomes and prognosis of patients with periampullary malignancies remains a topic of ongoing debate. Previous studies have indicated that a perioperative BT can increase the risks for perioperative morbidity [3,4,5] and cancer recurrence despite good disease-free survival and overall survival [5,6,7,8,9,10]. However, in some studies, researchers have not reported a negative impact of perioperative BT on postoperative outcomes. Further studies are needed to determine the postoperative short-term outcomes of BT in patients with periampullary malignancies and the relationship between BTs and the type of PD and estimated blood loss volume.
As previously stated, some studies have compared perioperative BT with postoperative short-term complications. It should be noted that the term ‘perioperative BT’ encompasses a heterogeneous cohort comprising both patient groups who received intraoperative BT and those who received postoperative BT. The difficulty in establishing an association between postoperative BT and postoperative complications such as postoperative pancreatic fistula (POPF) and postpancreatectomy hemorrhage (PPH) is due to the fact that postoperative BTs are initiated following the occurrence of these events. As a result, it is challenging to discern the relationship between postoperative complications and postoperative BT. Consequently, a study of intraoperative BT is suitable for verifying the relationship in question. To our knowledge, only one study from 2002 [11] has examined the prognostic significance of intraoperative BT after PD. No study has examined the relationship between intraoperative BT and postoperative short-term outcomes in patients who have undergone PD.
The aim of this study was to assess the putative effect of intraoperative BT on postoperative short-term outcomes in patients undergoing PD, utilizing recent statistical methods to minimize potential bias.

2. Materials and Methods

2.1. Study Design

This retrospective two-center cohort study was conducted following the Strengthening the Reporting of Observation in Epidemiology (STROBE) guidelines [12] and the principles of the Declaration of Helsinki. The respective ethical committees of the Canton of St. Gallen and the Canton of Zurich approved a formal ethical review. (BASEC Nr.: 2024-00827).
All patients who underwent PD between December 2008 and March 2022 at the Department of Visceral and Transplant Surgery at the University Hospital of Zurich and the Department of General, Visceral, Endocrine, and Transplant Surgery at the Kantonsspital St. Gallen were screened for inclusion in this study. Data relevant to this study were gathered from two prospectively maintained databases.

2.2. Inclusion and Exclusion Criteria

Patients were included if they met the following criteria: 18 years old or older, had undergone PD for histologically proven periampullary malignancies, had undergone intraoperative BT, and were followed up for at least 30 days.
To ensure homogeneity, patients with incomplete data and patients for whom no data on intraoperative BTs, blood loss, or hemoglobin (Hb) values were available were excluded from the analysis.

2.3. Intraoperative Patient Blood Management

In accordance with the World Health Organization, anemia is defined as a Hb level below 130 g/L for males and 120 g/L for females. A preoperative screening process was implemented to identify any patients exhibiting indications of anemia. In the event of a diagnosis of anemia, the commencement of iron replacement therapy was considered, in accordance with feasibility, as an appropriate course of action to address the underlying anemia.
Intraoperative BT was defined as the transfusion of allogeneic packed erythrocytes during surgery. The packed blood cells were stored in a citrate-phosphate-dextrose-adenine anticoagulant solution devoid of leukodepletion. In general, the indication for intraoperative BT was an Hb concentration of less than 70 g/L prior to the commencement of PD. The potential for active bleeding should be considered during this procedure [13]. However, BT was also permitted in cases of active bleeding during PD, which led to a reduction in the Hb value. Patients without a history of coronary heart disease received a transfusion only if the Hb level fell below 70 g/L. Patients with coronary heart disease or clinical indications received a transfusion only if the Hb level fell below 80 g/L.

2.4. Definition of Outcomes

The primary outcome of the study was the incidence of postoperative complications following PD in patients with and without intraoperative blood transfusion. Postoperative complications were graded according to the Clavien-Dindo (CD) classification [14], with major complications defined as CD grade III or higher complications. In order to evaluate the relationship between intraoperative BT and postoperative complications with respect to CD, a number of potential sources of confounding, including intraoperative blood loss, the duration of surgery, and the rate of PD severity, were incorporated into multivariable statistical models.
The secondary outcomes included the incidence of pancreas-specific morbidities, surgical site infection (SSI), reoperation rate, total length of intensive care unit (ICU) stay, postoperative length of hospital stay (LOS), and mortality rates at 30 days and 90 days. Pancreas-specific morbidities, such as POPF [15], PPH [16] and delayed gastric emptying (DGE) [17], were classified according to the International Study Group of Pancreatic Surgery (ISGPS). Bile leakage was classified according to the International Study Group of Liver Surgery (ISGLS) [18]. The SSIs were defined in accordance with the Centers for Disease Control and Prevention (CDC) criteria [19,20]. The types of PD were classified according to Mihaljevic et al. [2] (PD Type I: standard PD; PD Type II: PD with portal vein/superior mesenteric vein resection; PD Type III: PD with multi-visceral resection; and PD Type IV: PD with arterial resection).

2.5. Follow-Up

Following discharge, the study nurses conducted regular telephone interviews with patients to ascertain their postoperative status. Patients who had been discharged with drains were observed for follow-up during regular office hours. Each patient was seen in the office at the 90-day follow-up.

2.6. Statistical Analysis

The statistical analysis was performed using R statistical software version “R 4.4.0” (www.r-project.org (accessed on 30 July 2024)). A two-sided p value less than 0.05 (2-sided) indicated statistical significance. Confidence intervals for binomial probabilities were estimated using the Agresti and Coull method. Categorical and continuous baseline characteristics were compared using chi-square tests and Mann-Whitney U tests, respectively. A multivariate logistic regression was performed to identify independent predictors of intraoperative BT. Categorical and continuous outcomes were compared using chi-square tests and Mann-Whitney U tests. The relationships among the number of intraoperative BTs, CD grade, blood loss volume, and preoperative hemoglobin level were analyzed via a nonparametric partial correlation analysis on the basis of the Spearman rank correlation coefficient. To further assess the effect of intraoperative BT on the Clavien–Dindo grade, a generalized ordinal mixed model with the main surgeon nested under the two study centers, PD difficulty and stage as random effects fitted with uninformative priors by the Markov chain Monte Carlo sampler using the MCMCglmm R package with 3000 iterations after 1000 burnins and a thinning factor of 1 was performed. Thereafter, a mediation analysis [21] was conducted using an inverse odds ratio-weighted (IORW) approach [22] to further elaborate the effects of intraoperative BT on blood loss volume and CD grade, with adjustments for preoperative Hb level, PD difficulty, duration of surgery, sex, and body mass index (BMI). The effects were deemed causal and estimated via direct counterfactual imputation estimation with bias-corrected and accelerated (BCa) bootstrap 95% CIs using the R library CMAverse [22].
To further minimize differences in the baseline characteristics between the intraoperative BT and non-intraoperative BT groups, propensity score matching (PSM) was performed using the R MatchIt library [23,24,25] because of the high likelihood of relevant bias introduced by BT. Full bipartite matching and weighting were utilized for matching one to many patients in one group with a patient in the other group. The balance between the two groups was further diminished by weight. PSM was estimated with logistic regression. After searching the literature, potentially influential confounding variables were determined (intraoperative blood loss, duration of surgery, PD severity, age, sex, BMI, and ASA class), and second-order interactions between the continuous confounders were used to estimate the propensity score. The caliper width was set to 0.5 to obtain an optimal balance. After PSM, the maximal standardized mean difference (SMD) was 0.07, indicating a good balance [26]. In each group, each patient was matched with a patient in the other group, and weights were assigned such that at the end of this procedure, there was a virtually similar propensity score in the two groups. There was no match for 373 patients in the non-intraoperative BT group or for 5 patients in the intraoperative BT group; therefore, these patients were excluded from the analysis. To control for balance and inference after PSM, the marginal average treatment effects of intraoperative BT were estimated using g-computation [27] and complemented by cluster-robust standard errors [28] using the R “marginal effects” library.

3. Results

3.1. Patient Characteristics

Six hundred seven patients with periampullary malignancies who underwent PD were evaluated for eligibility. Patients who were diagnosed with benign disease (N = 104) or lacked follow-up information (N = 11) or data regarding BT, blood loss volume, or Hb (N = 1) level, were excluded from the study. Of the remaining 491 patients who met the inclusion criteria and were included in the analysis, 18 (3.7%) received at least one unit of blood during intraoperative BT. Of these, 14 patients received one unit, three received three, and one received four. In none of the 18 patients who received intraoperative BT (95% CI: 0% to 15.5%) were adverse events related to intraoperative BT. The PDs were performed by four surgeons, collectively responsible for 80.9% of the procedures. The remaining 19.1% were performed by another four surgeons. There were no significant differences observed between surgeons with respect to intraoperative BT (p = 0.120). Additionally, when classifying periampullary tumors according to histo-anatomical origin, no significant differences were observed between groups with respect to intraoperative BT (p = 0.888). Patients who received intraoperative BT had higher ASA classes, either III or IV (77.8 vs. 47.6%; p = 0.012), lower preoperative Hb levels (106.5 vs. 127.0 g/L; p < 0.001), more complicated procedures such as PD type III (33. 3% vs. 13.1%; p = 0.042) and PD type IV procedures (5.6% vs. 1.7%; p = 0.042) longer operating times (485 vs. 360 min; p = 0.001) and more significant intraoperative blood loss (1475 vs. 500 mL; p = 0.001) (Table 1). In multivariable logistic regression, only intraoperative blood loss (OR per 100 mL = 1.42; 95% CI 1.27 to 1.62; p < 0.001) and higher ASA classes (III or IV) (OR = 3.75; 95% CI 1.05 to 17.74; p = 0.041) were confirmed as independent predictors for intraoperative BT.

3.2. Complete Case Analysis

The length of hospital stay was longer in the intraoperative BT group than in the non-intraoperative BT group (median of 22 vs. 17 days; p = 0.041) (Table 2). The increased rate of major postoperative complications in the intraoperative BT group was not statistically significant (50% vs. 32.1%; p = 0.113). The intraoperative BT and non-intraoperative BT groups presented comparable rates of pancreatic-specific morbidity. This was particularly evident in the incidence of clinically relevant (Grades B and C) POPF (16.7% vs. 20.9%; p = 0.706). Furthermore, comparable rates of PPH (33.3% vs. 16.5%; p = 0.090), bile leakage (11.1% vs. 6.6%; p = 0.457), and gastric anastomotic leakage (5.6% vs. 2.7%; p = 0.500) were observed in both groups. The postoperative BT rate exhibited no statistically significant difference between the intraoperative BT and non-intraoperative BT groups (33.3% vs. 16.5%; p = 0.090). No significant difference was observed in the incidence of superficial SSI (38.9% vs. 22.6%; p = 0.133), deep incision SSI (16.7% vs. 5.3%; p = 0.091) or deep organ SSI (22.2% vs. 16.7%; p = 0.534) between both groups. The 90-day postoperative mortality rate was comparable between the BT and No-BT groups (11.1% vs. 8.9%; p = 0.704).
A non-parametric partial correlation analysis was performed to elaborate further on the association between postoperative complications in terms of the CD classification with the number of intraoperative BT, intraoperative blood loss, and preoperative Hb levels. The severity of postoperative complications was correlated with intraoperative blood loss (r = 0.12. p = 0.002) but not with intraoperative BT (r = 0.02, p = 0.698), and not with preoperative Hb levels (r = 0.04, p = 0.376). Intraoperative BT was positively correlated with intraoperative blood loss (r = 0.27, p < 0.001) and negatively correlated with the preoperative Hb levels (r = −0.16, p < 0.001).
When adjusted for the main surgeon, study center, PD difficulty, and UICC stage, intraoperative BT was associated with major complications in the unadjusted cohort (OR= 1.95; 95% CI 1.38 to 2.42, p < 0.001) but not in the multivariable-adjusted ordinal mixed-effects regression analysis (OR= 0.75; 95% CI 0.37 to 1.48, p = 0.001) (Table 3). Major complications were associated with longer durations of surgery (per hour OR= 1.12; 95% CI: 1.04 to 1.21; p = 0.002), higher BMI (per kg/m2 OR= 1.04; 95% CI: 1.01 to 1.07; p = 0.008), and greater blood loss volumes (per 100 mL OR = 1.03; 95% CI: 1.00 to 1.06; p = 0.081). These findings were further confirmed in a mediation analysis, which proved the effect of intraoperative BT on the incidence of major complications (relative risk (RR) = 0.51; 95% CI: 0.01–0.78) and the intraoperative blood loss volume (per 100 mL RR = 2.49; 95% CI: 1.75–177.34).

3.3. PSM Analysis of Perioperative Outcomes

The intraoperative BT and non-intraoperative BT groups were highly biased, with propensity scores of 0.388 ± 0.341 and 0.023 ± 0.070, respectively (p < 0.001). PSM yielded a well-matched but small sample of patients in both groups (BT, N = 13; No-BT, N = 100) with similar propensity scores (0.208 ± 0.185 vs. 0.221 ± 0.200, p = 0.815) (Figure 1). A total of 5 and 373 patients in the intraoperative and non-intraoperative BT groups, respectively, could not be matched with patients in the other groups. These patients had to be excluded because no counterpart in the other group matched their characteristics. In the remaining cohort (N = 113) after PSM, the maximum absolute imbalance in terms of SMD was 0.074, indicating a good balance not only for the propensity score but also for all confounding variables.
After PSM, the intraoperative BT and non-intraoperative BT groups exhibited only a difference in preoperative Hb levels (106.2 vs. 124.2 g/L, p < 0.001). No significant differences were observed between the two groups in terms of blood loss volume (1220 vs. 1200 mL, p = 0.856), duration of surgery (7.5 vs. 7.5 h, p = 0.948), PD difficulty: standard (46.2% vs. 45.3%, p = 0.942), age at surgery (64.0 vs. 63.9 years, p = 0.984), male sex (38.5% vs. 35.3%; p = 0.834), BMI (25.3 vs. 25.1 kg/m2, p = 0.944) or ASA class (III or IV) (76.9% vs. 76.8%, p = 0.995).
No significant impact of intraoperative BT on major postoperative complications (OR = 1.05; 95% CI: 0.42 to 2.60, p = 0.919), clinically relevant POPF grades B and C (OR = 0.57; 95% CI: 0.14 to 2.35, p = 0.439), PPH (OR = 0.71, 95% CI: 0.20 to 2.62, p = 0.439) or postoperative 90-day mortality (OR = 0.71, 95% CI: 0.20 to 2.62, p = 0.439) was found after PSM (Table 4).

4. Discussion

The present study revealed that intraoperative BT was associated with blood loss and relatively high ASA classes, but there was no association between intraoperative BT and postoperative complications when intraoperative blood loss was adjusted for. The results of the mediation analysis indicated that an intraoperative BT might be beneficial for reducing the risk of major postoperative complications and confirmed the detrimental effect of intraoperative blood loss on the incidence of major postoperative complications. The incidence of PPH, POPF, biliary fistula, and gastric anastomotic fistula was found to be twice as high in the intraoperative BT group compared to the non-intraoperative BT group in the unmatched cohort group. However, this difference was not statistically significant. Following the application of PSM, the patients who underwent intraoperative BT presented comparable rates of pancreas-specific morbidity, particularly clinically relevant POPFs, and an incidence of SSI comparable to that in patients who did not receive an intraoperative BT. A significant association was identified between intraoperative BT and estimated intraoperative blood loss and Hb level, and between estimated intraoperative blood loss and major postoperative complications.
PD represents the sole curative treatment option for patients with periampullary malignancies. A review of existing studies revealed that a perioperative BT is needed in approximately 68% of patients who undergo PD [29,30]. Importantly, the increase in complex vascular reconstructions in PD, which are well known to require perioperative BT, has not been reported thus far. Despite studies [3,5,31,32] examining the postoperative short-term outcomes of BT in patients undergoing PD for periampullary malignancies, definitive conclusions remain elusive owing to substantial discrepancies in clinical practice as well as adherence to transfusion guidelines and the fact that perioperative BT has been employed. Owing to this information, the aim of this first partial correlation analysis and mediation analysis complemented by PSM, and weighting was to investigate the impact of intraoperative BT on postoperative short-term outcomes after PD.
The prevalence of severe postoperative complications resulting from intraoperative BT observed in the present study differs from that reported in previous studies of patients with PD. A review of the relevant literature revealed that postoperative BT is an independent risk factor for SSIs [3,33,34]. An analysis of the ACS-NSQIP data (n = 4817), comprising patients who underwent PD, indicated a graded association between perioperative BT and 30-day morbidity [31]. While the studies mentioned above have examined the impact of perioperative BT on perioperative morbidity [3,31,33,34], there is currently no research investigating the influence of intraoperative BT on the occurrence of major complications in patients with PD. The inconsistency of results across our study and previously published literature is because all the studies above compared perioperative (intraoperative and postoperative) BT with postoperative complications. It is challenging to ascertain the impact of perioperative BT on postoperative complications, mainly when patients receive a postoperative BT because of complications such as POPF or PPH. Additionally, more objective assessments must evaluate the necessity of intraoperative BT in this patient group.
Despite considerable advances in surgical techniques and increasing experience in performing PD, the risk of intraoperative blood loss remains a significant concern. Previous studies have revealed that intraoperative BT rates for this procedure range from 45% to 60% [11,35]. Importantly, researchers have not fully accounted for the increasing trend in complex vascular reconstructions in PD patients despite such patients possibly requiring a BT. Therefore, the relationships between intraoperative blood loss and the incidence of complications, as well as intraoperative BT, were examined in this study. An association was identified between the intraoperative BT rate and both the intraoperative blood loss volume and the postoperative complication rate. Therefore, intraoperative BT is required for patients with major intraoperative blood loss or low preoperative Hb levels who are undergoing PD. It can thus be concluded that it is not the intraoperative BT that causes complications but rather intraoperative blood loss or preoperative untreated anemia that is responsible for the higher rate of postoperative complications reported in the literature. Our findings align with previously published research indicating that patients who received an intraoperative BT presented with lower preoperative Hb levels [8,35], higher estimated intraoperative blood loss volumes [8,30,36,37], and a suboptimal preoperative physical condition [8,36]. Advanced disease status has also emerged as a contributing factor [37].
The finding that intraoperative BT is not an independent risk factor for postoperative complications and that intraoperative blood loss itself significantly increases the risk of postoperative complications has significant clinical implications, as it allows for a more differentiated approach to transfusion therapy. For example, it may be beneficial to consider not minimizing the amount of blood administered or performing a BT preoperatively in patients with anemia. Furthermore, transfusion of blood may be beneficial for patients who bleed during PD. Following current clinical guidelines, a BT is typically recommended only when a patient’s Hb level falls below 7–8 g/dL [38,39,40]. This guideline was also followed for our patient cohort. In this context, it is pertinent to consider whether adjusting the cutoff value for the number of blood units transfused is necessary. Based on the present study’s findings, it is impossible to provide a definitive answer to this question. A literature review revealed that several previous studies have already addressed the issue of postoperative BT cutoff values. Compared with the liberal utilization of BT, the restrictive use of BT may lead to postoperative morbidity [13,40,41,42,43]. The data from a meta-analysis revealed that nearly half of all patients who underwent pancreatic surgery for cancer received a perioperative BT [10]. The presented data and the literature previously described indicate that an evidence-based strategy based on personalized transfusion triggers should be more widely adopted to avoid the unnecessary, harmful effects of BT in patients or to avoid exposing a patient to the risks associated with non-transfusion.
The intraoperative BT rate observed in the current study was lower than that reported in previous research studies, which have documented a range of 5–57% [3,5,11,44]. The discrepancies observed can be attributed to the varying criteria used to determine the necessity for transfusions. Furthermore, it is crucial to take into account the discrepancies in the populations under investigation. For example, in some studies, the administration of BT was validated based on symptoms such as dyspnea and chest pain, which are not suitable for assessing intraoperative BT. In other studies, the transfusion threshold was set at an intraoperative haematocrit of less than 30% in the absence of angina pectoris or a history of myocardial infarction within the previous six weeks prior to surgery. At our facilities, intraoperative BT was only conducted when the Hb level was below 70 g/L or in cases of coronary artery disease when the Hb level had decreased below 80 g/L. Secondly, a preoperative screening process was conducted to identify any patients with anemia. If anemia was identified, iron replacement therapy, if feasible, was initiated to address the underlying anemia. Thirdly, our two centers are amongst the largest in Switzerland, with particular expertise in the field of pancreatic surgery.
Notably, the current study is characterized by various limitations. These limitations include the retrospective nature of the study, the analysis of a limited number of patients who receive an intraoperative BT, and the 14-year study period. For example, an understanding of the perioperative cytokine profile and the composition of peripheral blood T lymphocyte subsets could facilitate the investigation of the mechanism of immunosuppression in patients who require a perioperative BT. The relative risk associated with some variables may have changed over the 14-year study period. The retrospective study design introduces potential bias due to patient selection and uncontrolled between-group differences in baseline characteristics. Although the investigators performed PSM and mediation analysis to minimize differences in several baseline characteristics, other confounding factors may have influenced the results. Although the criteria for blood transfusion have been clearly defined, the decision to transfuse blood units was made as a result of collaboration between the surgeon and the anesthetist or, in some cases, the anesthetist alone. It is possible that differences in transfusion practice patterns between different anesthetists were not accounted for, which could have affected the results.

5. Conclusions

In conclusion, based on our study data intraoperative BT is not an independent risk factor for major complications in patients with periampullary malignancies following PD. This is of clinical relevance because BT in patients undergoing PD can be considered on an as needed base without the concern of worsening postoperative outcomes.

Author Contributions

K.U.: project development, data collection and management, data analysis, the literature search, figures, manuscript writing, and review of the manuscript. R.W.: data analysis and manuscript writing/editing. H.P.: Interpretation of the data analysis and manuscript editing. P.C.M.: Interpretation of the data analysis and manuscript editing. J.O.: Interpretation of the data analysis and manuscript editing. I.T.: Interpretation of the data analysis and manuscript editing. J.P.J.: Interpretation of the data analysis and manuscript editing. B.M.S.: Interpretation of the data analysis and manuscript editing. T.S.: project development, data analysis and manuscript writing/editing. All authors have read and agreed to the published version of the manuscript.

Funding

This study was not funded by any specific grant from any funding agency in the public, commercial, or not-for-profit sectors. Part of this research was funded by the Cancer League of Eastern Switzerland (KLOCH). PD. Dr. Thomas Steffen has received a corresponding grant.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki, and the protocol was approved by the Ethics Committee of the Canton of St. Gallen and Canton of Zurich (BASEC Nr.: 2024-00827). The date of approval was 20 June 2024.

Informed Consent Statement

The general informed consent of the Cantonal Hospital of St. Gallen was implemented in 2019, requiring that all patients at the hospital sign this document. Similarly, since 2016, patients at the University Hospital of Zurich have been required to sign the hospital’s general consent form. In January 2013, the Department of General, Visceral, Endocrine, and Transplant Surgery at the Kantonsspital St. Gallen was granted specific authorization by the same institution for the processing of health-related personal data and biological material for research purposes. Furthermore, since January 2015, the utilization of data from patients who have not objected for research purposes has been permitted. For patients who underwent surgical procedures prior to this period, a formal ethical review was conducted and approved by the relevant ethics committees within the cantons of St. Gallen and Zurich. (BASEC No.: 2024-00827) has been granted an exceptional authorization in accordance with Article 34 HRA (Federal Act on Research involving Human Subjects in Switzerland). Consequently, an exemption was granted by the ethics committee, given that approximately three-quarters of the patients have since died. This made it challenging to locate the surviving relatives or family members of the deceased, which would have entailed a disproportionate effort.

Data Availability Statement

The original contributions presented in the study are included in the article, further inquiries can be directed to the corresponding author.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Pecorelli, N.; Guarneri, G.; Quattromani, R.; Arru, G.G.; Gozzini, L.; Lee, Y.H.; Vallorani, A.; Turi, S.; Partelli, S.; Crippa, S.; et al. The impact of preoperative anemia on pancreatic resection outcomes. HPB 2022, 24, 717–726. [Google Scholar] [CrossRef] [PubMed]
  2. Mihaljevic, A.L.; Hackert, T.; Loos, M.; Hinz, U.; Schneider, M.; Mehrabi, A.; Hoffmann, K.; Berchtold, C.; Müller-Stich, B.P.; Diener, M.; et al. Not all Whipple procedures are equal: Proposal for a classification of pancreatoduodenectomies. Surgery 2021, 169, 1456–1462. [Google Scholar] [CrossRef] [PubMed]
  3. Ross, A.; Mohammed, S.; Vanburen, G.; Silberfein, E.J.; Artinyan, A.; Hodges, S.E.; Fisher, W.E. An assessment of the necessity of transfusion during pancreatoduodenectomy. Surgery 2013, 154, 504–511. [Google Scholar] [CrossRef] [PubMed]
  4. Glance, L.G.; Dick, A.W.; Mukamel, D.B.; Fleming, F.J.; Zollo, R.A.; Wissler, R.; Salloum, R.; Meredith, U.W.; Osler, T.M. Association between intraoperative blood transfusion and mortality and morbidity in patients undergoing noncardiac surgery. Anesthesiology 2011, 114, 283–292. [Google Scholar] [CrossRef] [PubMed]
  5. Ejaz, A.; Spolverato, G.; Kim, Y.; Margonis, G.A.; Gupta, R.; Amini, N.; Frank, S.M.; Pawlik, T.M. Impact of blood transfusions and transfusion practices on long-term outcome following hepatopancreaticobiliary surgery. J. Gastrointest. Surg. 2015, 19, 887–896. [Google Scholar] [CrossRef]
  6. Yamashita, K.; Sakuramoto, S.; Kikuchi, S.; Katada, N.; Kobayashi, N.; Watanabe, M. Transfusion alert for patients with curable cancer. World J. Surg. 2007, 31, 2315–2322. [Google Scholar] [CrossRef]
  7. Amato, A.; Pescatori, M. Perioperative blood transfusions for the recurrence of colorectal cancer. Cochrane Database Syst. Rev. 2006, 2006, Cd005033. [Google Scholar] [CrossRef]
  8. Kneuertz, P.J.; Patel, S.H.; Chu, C.K.; Maithel, S.K.; Sarmiento, J.M.; Delman, K.A.; Staley, C.A.; Kooby, D.A. Effects of perioperative red blood cell transfusion on disease recurrence and survival after pancreaticoduodenectomy for ductal adenocarcinoma. Ann. Surg. Oncol. 2011, 18, 1327–1334. [Google Scholar] [CrossRef]
  9. Ueda, M.; Endo, I.; Nakashima, M.; Minami, Y.; Takeda, K.; Matsuo, K.; Nagano, Y.; Tanaka, K.; Ichikawa, Y.; Togo, S.; et al. Prognostic factors after resection of pancreatic cancer. World J. Surg. 2009, 33, 104–110. [Google Scholar] [CrossRef]
  10. Mavros, M.N.; Xu, L.; Maqsood, H.; Gani, F.; Ejaz, A.; Spolverato, G.; Al-Refaie, W.B.; Frank, S.M.; Pawlik, T.M. Perioperative blood transfusion and the prognosis of pancreatic cancer surgery: Systematic review and meta-analysis. Ann. Surg. Oncol. 2015, 22, 4382–4391. [Google Scholar] [CrossRef]
  11. Park, S.J.; Kim, S.W.; Jang, J.Y.; Lee, K.U.; Park, Y.H. Intraoperative transfusion: Is it a real prognostic factor of periampullary cancer following pancreatoduodenectomy? World J. Surg. 2002, 26, 487–492. [Google Scholar] [CrossRef] [PubMed]
  12. Von Elm, E.; Altman, D.G.; Egger, M.; Pocock, S.J.; Gøtzsche, P.C.; Vandenbroucke, J.P. The strengthening the reporting of observational studies in epidemiology (STROBE) statement: Guidelines for reporting observational studies. Lancet 2007, 370, 1453–1457. [Google Scholar] [CrossRef] [PubMed]
  13. Ejaz, A.; Spolverato, G.; Kim, Y.; Frank, S.M.; Pawlik, T.M. Variation in triggers and use of perioperative blood transfusion in major gastrointestinal surgery. Br. J. Surg. 2014, 101, 1424–1433. [Google Scholar] [CrossRef] [PubMed]
  14. Dindo, D.; Demartines, N.; Clavien, P.A. Classification of surgical complications: A new proposal with evaluation in a cohort of 6336 patients and results of a survey. Ann. Surg. 2004, 240, 205–213. [Google Scholar] [CrossRef]
  15. Bassi, C.; Marchegiani, G.; Dervenis, C.; Sarr, M.; Abu Hilal, M.; Adham, M.; Allen, P.; Andersson, R.; Asbun, H.J.; Besselink, M.G.; et al. The 2016 update of the international study group (ISGPS) definition and grading of postoperative pancreatic fistula: 11 years after. Surgery 2017, 161, 584–591. [Google Scholar] [CrossRef]
  16. Wente, M.N.; Veit, J.A.; Bassi, C.; Dervenis, C.; Fingerhut, A.; Gouma, D.J.; Izbicki, J.R.; Neoptolemos, J.P.; Padbury, R.T.; Sarr, M.G.; et al. Postpancreatectomy hemorrhage (PPH): An international study group of pancreatic surgery (ISGPS) definition. Surgery 2007, 142, 20–25. [Google Scholar] [CrossRef]
  17. Wente, M.N.; Bassi, C.; Dervenis, C.; Fingerhut, A.; Gouma, D.J.; Izbicki, J.R.; Neoptolemos, J.P.; Padbury, R.T.; Sarr, M.G.; Traverso, L.W.; et al. Delayed gastric emptying (DGE) after pancreatic surgery: A suggested definition by the international study group of pancreatic surgery (ISGPS). Surgery 2007, 142, 761–768. [Google Scholar] [CrossRef]
  18. Koch, M.; Garden, O.J.; Padbury, R.; Rahbari, N.N.; Adam, R.; Capussotti, L.; Fan, S.T.; Yokoyama, Y.; Crawford, M.; Makuuchi, M.; et al. Bile leakage after hepatobiliary and pancreatic surgery: A definition and grading of severity by the international study group of liver surgery. Surgery 2011, 149, 680–688. [Google Scholar] [CrossRef]
  19. Berríos-Torres, S.I.; Umscheid, C.A.; Bratzler, D.W.; Leas, B.; Stone, E.C.; Kelz, R.R.; Reinke, C.E.; Morgan, S.; Solomkin, J.S.; Mazuski, J.E.; et al. Centers for Disease Control and Prevention Guideline for the Prevention of Surgical Site Infection, 2017. JAMA Surg 2017, 152, 784–791. [Google Scholar] [CrossRef]
  20. Rhodes, A.; Evans, L.E.; Alhazzani, W.; Levy, M.M.; Antonelli, M.; Ferrer, R.; Kumar, A.; Sevransky, J.E.; Sprung, C.L.; Nunnally, M.E.; et al. Surviving Sepsis Campaign: International Guidelines for Management of Sepsis and Septic Shock: 2016. Intensive Care Med. 2017, 43, 304–377. [Google Scholar] [CrossRef]
  21. Baron, R.M.; Kenny, D.A. The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. J. Pers. Soc. Psychol. 1986, 51, 1173–1182. [Google Scholar] [CrossRef] [PubMed]
  22. Tchetgen, E.J.T. Inverse odds ratio-weighted estimation for causal mediation analysis. Stat. Med. 2013, 32, 4567–4580. [Google Scholar] [CrossRef] [PubMed]
  23. Joffe, M.M.; Rosenbaum, P.R. Invited commentary: Propensity scores. Am. J. Epidemiol. 1999, 150, 327–333. [Google Scholar] [CrossRef] [PubMed]
  24. Rosenbaum, P.R. Optimal matching for observational studies. J. Am. Stat. Assoc. 1989, 84, 1024–1032. [Google Scholar] [CrossRef]
  25. Sekhon, J.S. Multivariate and propensity score matching software with automated balance optimization: The matching package for R. J. Stat. Softw. 2011, 42, 1–52. [Google Scholar] [CrossRef]
  26. Nguyen, T.L.; Collins, G.S.; Spence, J.; Daurès, J.P.; Devereaux, P.J.; Landais, P.; Le Manach, Y. Double-adjustment in propensity score matching analysis: Choosing a threshold for considering residual imbalance. BMC Med. Res. Methodol. 2017, 17, 78. [Google Scholar] [CrossRef]
  27. Snowden, J.M.; Rose, S.; Mortimer, K.M. Implementation of G-computation on a simulated data set: Demonstration of a causal inference technique. Am. J. Epidemiol. 2011, 173, 731–738. [Google Scholar] [CrossRef]
  28. Abadie, A.; Spiess, J. Robust post-matching inference. J. Am. Stat. Assoc. 2022, 117, 983–995. [Google Scholar] [CrossRef]
  29. Dusch, N.; Weiss, C.; Ströbel, P.; Kienle, P.; Post, S.; Niedergethmann, M. Factors predicting long-term survival following pancreatic resection for ductal adenocarcinoma of the pancreas: 40 years of experience. J. Gastrointest. Surg. 2014, 18, 674–681. [Google Scholar] [CrossRef]
  30. Sutton, J.M.; Kooby, D.A.; Wilson, G.C.; Squires, M.H.; Hanseman, D.J.; Maithel, S.K.; Bentrem, D.J.; Weber, S.M.; Cho, C.S.; Winslow, E.R.; et al. Perioperative blood transfusion is associated with decreased survival in patients undergoing pancreaticoduodenectomy for pancreatic adenocarcinoma: A multi-institutional study. J. Gastrointest. Surg. 2014, 18, 1575–1587. [Google Scholar] [CrossRef]
  31. Ball, C.G.; Pitt, H.A.; Kilbane, M.E.; Dixon, E.; Sutherland, F.R.; Lillemoe, K.D. Peri-operative blood transfusion and operative time are quality indicators for pancreatoduodenectomy. HPB 2010, 12, 465–471. [Google Scholar] [CrossRef] [PubMed]
  32. Clark, E.; Connor, S.; Taylor, M.A.; Hendry, C.L.; Madhavan, K.K.; Garden, O.J.; Parks, R.W. Perioperative transfusion for pancreaticoduodenectomy and its impact on prognosis in resected pancreatic ductal adenocarcinoma. HPB 2007, 9, 472–477. [Google Scholar] [CrossRef] [PubMed]
  33. Landers, D.F.; Hill, G.E.; Wong, K.C.; Fox, I.J. Blood transfusion-induced immunomodulation. Anesth. Analg. 1996, 82, 187–204. [Google Scholar] [CrossRef] [PubMed]
  34. Cameron, J.L.; Riall, T.S.; Coleman, J.; Belcher, K.A. One thousand consecutive pancreaticoduodenectomies. Ann. Surg. 2006, 244, 10–15. [Google Scholar] [CrossRef] [PubMed]
  35. Yeh, J.J.; Gonen, M.; Tomlinson, J.S.; Idrees, K.; Brennan, M.F.; Fong, Y. Effect of blood transfusion on outcome after pancreaticoduodenectomy for exocrine tumour of the pancreas. Br. J. Surg. 2007, 94, 466–472. [Google Scholar] [CrossRef]
  36. Lewis, R.; Drebin, J.A.; Callery, M.P.; Fraker, D.; Kent, T.S.; Gates, J.; Vollmer, C.M. A contemporary analysis of survival for resected pancreatic ductal adenocarcinoma. HPB 2013, 15, 49–60. [Google Scholar] [CrossRef]
  37. Müller, S.A.; Mehrabi, A.; Rahbari, N.N.; Warschkow, R.; Elbers, H.; Leowardi, C.; Fonouni, H.; Tarantino, I.; Schemmer, P.; Schmied, B.M.; et al. Allogeneic blood transfusion does not affect outcome after curative resection for advanced cholangiocarcinoma. Ann. Surg. Oncol. 2014, 21, 155–164. [Google Scholar] [CrossRef]
  38. Ferraris, V.A.; Brown, J.R.; Despotis, G.J.; Hammon, J.W.; Reece, T.B.; Saha, S.P.; Song, H.K.; Clough, E.R.; Shore-Lesserson, L.J.; Goodnough, L.T.; et al. 2011 update to the Society of Thoracic Surgeons and the Society of Cardiovascular Anesthesiologists blood conservation clinical practice guidelines. Ann. Thorac. Surg. 2011, 91, 944–982. [Google Scholar] [CrossRef]
  39. Ferraris, V.A.; Ferraris, S.P.; Saha, S.P.; Hessel, E.A.; Haan, C.K.; Royston, B.D.; Bridges, C.R.; Higgins, R.S.; Despotis, G.; Brown, J.R.; et al. Perioperative blood transfusion and blood conservation in cardiac surgery: The Society of Thoracic Surgeons and The Society of Cardiovascular Anesthesiologists clinical practice guideline. Ann. Thorac. Surg. 2007, 83, S27–S86. [Google Scholar] [CrossRef]
  40. Carson, J.L.; Carless, P.A.; Hébert, P.C. Outcomes using lower vs higher hemoglobin thresholds for red blood cell transfusion. JAMA 2013, 309, 83–84. [Google Scholar] [CrossRef]
  41. Ejaz, A.; Spolverato, G.; Kim, Y.; Frank, S.M.; Pawlik, T.M. Identifying variations in blood use based on hemoglobin transfusion trigger and target among hepatopancreaticobiliary surgeons. J. Am. Coll. Surg. 2014, 219, 217–228. [Google Scholar] [CrossRef] [PubMed]
  42. Villanueva, C.; Colomo, A.; Bosch, A.; Concepción, M.; Hernandez-Gea, V.; Aracil, C.; Graupera, I.; Poca, M.; Alvarez-Urturi, C.; Gordillo, J.; et al. Transfusion strategies for acute upper gastrointestinal bleeding. N. Engl. J. Med. 2013, 368, 11–21. [Google Scholar] [CrossRef] [PubMed]
  43. Odutayo, A.; Desborough, M.J.; Trivella, M.; Stanley, A.J.; Dorée, C.; Collins, G.S.; Hopewell, S.; Brunskill, S.J.; Kahan, B.C.; Logan, R.F.; et al. Restrictive versus liberal blood transfusion for gastrointestinal bleeding: A systematic review and meta-analysis of randomised controlled trials. Lancet Gastroenterol. Hepatol. 2017, 2, 354–360. [Google Scholar] [CrossRef] [PubMed]
  44. Tartter, P.I.; Barron, D.M. Unnecessary blood transfusions in elective colorectal cancer surgery. Transfusion 1985, 25, 113–115. [Google Scholar] [CrossRef]
Figure 1. Distribution of Propensity Scores. Each circle presents one patient. The distribution of the propensity scores for patients with intraoperative blood transfusion (treatment units) versus non-intraoperative blood transfusion (control units) who could be matched is shown. The propensity scores for patients who could not matched because their characteristics could not be matched with patients from the other group are also shown. The size of the circle for patients with non-intraoperative blood transfusion (“control units”) represents the weight obtained by the propensity score matching procedure.
Figure 1. Distribution of Propensity Scores. Each circle presents one patient. The distribution of the propensity scores for patients with intraoperative blood transfusion (treatment units) versus non-intraoperative blood transfusion (control units) who could be matched is shown. The propensity scores for patients who could not matched because their characteristics could not be matched with patients from the other group are also shown. The size of the circle for patients with non-intraoperative blood transfusion (“control units”) represents the weight obtained by the propensity score matching procedure.
Cancers 16 03531 g001
Table 1. The demographic, clinicopathological, and surgical characteristics of the entire study cohort stratified by the receipt of intraoperative blood transfusion before and after propensity score matching.
Table 1. The demographic, clinicopathological, and surgical characteristics of the entire study cohort stratified by the receipt of intraoperative blood transfusion before and after propensity score matching.
CharacteristicsUnmatched Cohort, n (%)p Value
Total (n = 491)No-BT (n = 473)BT (n = 18)
Baseline characteristics
Age, years, median (IQR)68.2 (59.3–75)68.2 (59.3–75)66.8 (57–72.8)0.387 a
Obesity (BMI > 30 kg/m2)60 (12.2)56 (11.8)4 (22.2)0.082 a
Sex, Male201 (40.9)194 (41)7 (38.9)0.857 b
ASA class ≥ 3239 (48.7)225 (47.6)14 (77.8)0.012 b
Preoperative Hb (g/L), median (IQR)127 (115–137)127 (116–137)106 (100–119)<0.001 a
Coexisting condition
Diabetes mellitus90 (18.4)87 (18.4)3 (16.7)0.814 b
Bleeding disorder28 (5.7)26 (5.5)2 (11.1)0.350 d
Corticosteroid use22 (4.5)21 (4.4)1 (5.6)1.000 b
History of abdominal surgery102 (20.8)97 (20.5)5 (27.8)0.460 d
Smoking history199 (40.5)194 (41)5 (27.8)0.232 b
Neoadjuvant chemotherapy43 (8.8)39 (8.2)4 (22.2)0.078 d
Tumor localization 0.723 c
Pancreas head344 (70.1)330 (69.8)14 (77.8)
Pancreas corpus5 (1)5 (1.1)0 (0)
Ampullary66 (13.4)64 (13.5)2 (11.1)
Duodenum35 (7.1)35 (7.4)0 (0)
Distal bile duct41 (8.4)39 (8.2)2 (11.1)
Surgical characteristics
Open approach485 (98.8)468 (98.9)17 (94.4)0.219 b
Extent of PD according to Mihaljevic [2] 0.042 c
Type I365 (74.3)357 (75.5)8 (44.4)
Type II49 (10)46 (9.7)3 (16.7)
Type III68 (13.8)62 (13.1)6 (33.3)
Type IV9 (1.8)8 (1.7)1 (5.6)
Main Surgeon 0.120 b
Surgeon I120 (24.4%)117 (24.7%)3 (16.7%)
Surgeon II117 (23.8%)109 (23.0%)8 (44.4%)
Surgeon III91 (18.5%)90 (19.0%)1 (5.6%)
Surgeon IV69 (14.1%)68 (14.4%)1 (5.6%)
Other94 (19.1%)89 (18.8%)5 (27.8%)
Duration of Surgery, min., median (IQR)360 (296–465.5)360 (294–458)485 (371.2–525.5)0.001 a
Estimated blood loss (mL), median (IQR)500 (300–700)500 (300–700)1475 (1050–1875)0.001 a
Pathological characteristics
Histological subclassification 0.888 c
Pancreatic ductal adenocarcinoma303 (61.7%)291 (61.5%)12 (66.7%)
Non-pancreatic periampullary carcinoma144 (29.3%)139 (29.4%)5 (27.8%)
Neuroendocrine tumor44 (9.0%)43 (9.1%)1 (5.6%)
UICC stage 0.599 c
I83 (16.9)79 (16.7)4 (22.2)
II279 (56.8)268 (56.7)11 (61.1)
III/IV129 (26.3)126 (26.6)3 (16.7)
Abbreviations: ASA: American society of anesthesiologists; BMI: body mass index; BT: allogeneic blood transfusion; Hb: hemoglobin; IQR: interquartile range; PD: pancreatoduodenectomy; UICC: Union internationale contre le cancer. Notes: a Mann-Whitney U test; b Chi-square test; c Chi-square test, MC simulated; d Mid-p test.
Table 2. Incidence of postoperative complications of PD in patients who received and did not receive an intraoperative blood transfusion.
Table 2. Incidence of postoperative complications of PD in patients who received and did not receive an intraoperative blood transfusion.
Postoperative ComplicationsUnmatched Cohort, n (%)p Value
Total (n = 491)No-BT (n = 473)BT (n = 18)
Complications according Clavien-Dindo 0.236 c
Grade 07 (1.4)6 (1.3)1 (5.6)
Grade 1120 (24.4)117 (24.7)3 (16.7)
Grade 2203 (41.3)198 (41.9)5 (27.8)
Grade 3a47 (9.6)45 (9.5)2 (11.1)
Grade 3b29 (5.9)28 (5.9)1 (5.6)
Grade 4a36 (7.3)33 (7)3 (16.7)
Grade 4b14 (2.9)12 (2.5)2 (11.1)
Grade 535 (7.1)34 (7.2)1 (5.6)
Clavien-Dindo grade ≥ 3a161 (32.8)152 (32.1)9 (50)0.113 b
Reoperation92 (18.7)87 (18.4)5 (27.8)0.334 a
In hospital mortality rates35 (7.1)34 (7.2)1 (5.6)1.000 a
Pancreatic-specific complications
Postoperative pancreatic fistula 0.735 c
Grade A34 (6.9)32 (6.8)2 (11.1)
Grade B63 (12.8)62 (13.1)1 (5.6)
Grade C39 (7.9)37 (7.8)2 (11.1)
Postpancreatectomy hemorrhage
Grade A–C88 (17.9)82 (17.3)6 (33.3)0.111 a
Delayed gastric emptying
Grade A–C173 (35.2)166 (35.1)7 (38.9)0.741 b
Bile leakage33 (6.7)31 (6.6)2 (11.1)0.457 a
Gastroenteric anastomotic leakage14 (2.9)13 (2.7)1 (5.6)0.500 a
Surgical site infection (SSI)
Superficial114 (23.2)107 (22.6)7 (38.9)0.133 a
Deep incisional28 (5.7)25 (5.3)3 (16.7)0.091 a
Deep organ/space83 (16.9)79 (16.7)4 (22.2)0.534 a
Postoperative BT84 (17.1)78 (16.5)6 (33.3)0.090 a
Postoperative complications summary
Length of ICU stay, hours, median (IQR)24.0 (18.0–48.0)24.0 (18.0–48.0)45.5 (20.8–93.8)0.155 d
Length of Hospital stay, days, median (IQR)17.0 (13.0–26.0)17.0 (13.0–26.0)22.0 (18.5–47.0)0.041 d
Postoperative mortality rates
30–days22 (4.5)21 (4.4)1 (5.6)0.759 a
90–days44 (9)42 (8.9)2 (11.1)0.704 a
Abbreviations: BT: allogeneic blood transfusion; ICU: intensive care unit; IQR: interquartile range. Notes: a Mid-p test; b Chi-square test; c Chi-square test, MC simulated; d Mann-Whitney U test.
Table 3. Mixed effects ordinal regression analysis of the severity of complications graded using the Clavien–Dindo classification system.
Table 3. Mixed effects ordinal regression analysis of the severity of complications graded using the Clavien–Dindo classification system.
LevelsUnivariable Analysis
OR (95% CI) a
p ValueMultivariable Analysis
OR (95% CI) b
p Value
Intraoperative BT
NoReference Reference
Yes2.01 (1.14–2.88)0.0200.77 (0.50–1.25)0.210
Estimated blood loss per 100 mL
Continuous1.04 (1.01–1.05)0.0051.02 (1.00–1.04)0.020
Duration of surgery
Continuous1.16 (1.12–1.24)0.0051.08 (1.02–1.16)0.030
Extent of PD according to Mihaljevic et al. [2]
Type IReference Reference
Type II1.18 (0.82–1.55)0.3001.07 (0.84–1.43)0.660
Type III1.49 (1.10–1.92)0.0101.38 (1.04–1.79)0.005
Type IV1.86 (0.89–4.07)0.0801.61 (0.92–3.07)0.140
Age at surgery
Continuous1.01 (1.00–1.02)0.0601.01 (1.00–1.02)0.030
Sex
MaleReference Reference
Female1.29 (1.06–1.63)0.0321.18 (0.98–1.37)0.130
BMI
Continuous1.03 (1.02–1.05)0.0051.03 (1.01–1.05)0.005
ASA class
I/IIReference Reference
III/IV1.20 (1.04–1.42)0.0201.12 (0.92–1.38)0.280
Abbreviations: ASA: American Society of Anesthesiologists; BMI: body mass index; BT: allogeneic blood transfusion; PD: pancreatoduodenectomy; OR: odds ratios with 95% confidence intervals (Wald type). Notes: p values are derived using the likelihood ratio test. A higher OR indicates a worse outcome. a Univariate logistic regression analysis. b Multivariate logistic regression analysis.
Table 4. Incidence of postoperative complications of PD in patients who received and did not receive an intraoperative blood transfusion after PSM (N = 113).
Table 4. Incidence of postoperative complications of PD in patients who received and did not receive an intraoperative blood transfusion after PSM (N = 113).
Postoperative ComplicationsPropensity Score Matched Cohortp Value
No-BT, n (%)BT, n (%)OR (95% CI)
Major complication according the Clavien-Dindo classification
CD Grade ≥ 3a36.7 (36.7)5 (38.5)1.048 (0.423–2.597)0.919
Reoperation27.3 (27.3)2 (15.4)0.564 (0.130–2.446)0.444
Postoperative pancreatic fistula
Grade A–C35.4 (35.4)3 (23.1)0.651 (0.196–2.161)0.483
Postoperative pancreatic fistula
Grade A8.6 (8.6)1 (7.7)0.894 (0.105–7.583)0.918
Grade B8.1 (8.1)1 (7.7)0.949 (0.126–7.168)0.960
Grade C18.7 (18.7)1 (7.7)0.411 (0.045–3.766)0.431
Clinically relevant postoperative pancreatic fistula
Grades B and C26.8 (26.8)2 (15.4)0.573 (0.140–2.351)0.440
Postpancreatectomy hemorrhage
Grade A–C32.3 (32.3)3 (23.1)0.714 (0.195–2.623)0.612
Bile leakage10.9 (10.9)1 (7.7)0.706 (0.073–6.798)0.763
Delayed gastric emptying
Grade A–C28 (28)4 (30.8)1.100 (0.482–2.510)0.821
Gastroenteric anastomotic leakage4.7 (4.7)0 (0)aa
Surgical site infection (SSI)
Superficial33.7 (33.7)4 (30.8)0.913 (0.325–2.565)0.862
Deep incisional10 (10)1 (7.7)0.770 (0.064–9.321)0.837
Deep organ/Space20.7 (20.7)2 (15.4)0.742 (0.145–3.789)0.720
Postoperative mortality rates
30–days16.2 (16.2)1 (7.7)0.475 (0.050–4.508)0.517
90–days21.9 (21.9)2 (15.4)0.702 (0.219–2.252)0.552
Abbreviations: BT: allogeneic blood transfusion; CD: Clavien-Dindo; OR: odds ratios with 95% confidence intervals (Wald type). Notes: p values are derived using the likelihood ratio test. OR and p values for the effect of blood transfusion were estimated via logistic regression with B-computing. a No valid estimates for gastrointestinal anastomotic leakage.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Ukegjini, K.; Warschkow, R.; Petrowsky, H.; Müller, P.C.; Oberholzer, J.; Tarantino, I.; Jonas, J.P.; Schmied, B.M.; Steffen, T. Intraoperative Allogeneic Blood Transfusion Has No Impact on Postoperative Short-Term Outcomes After Pancreatoduodenectomy for Periampullary Malignancies: A Propensity Score Matching Analysis and Mediation Analysis. Cancers 2024, 16, 3531. https://doi.org/10.3390/cancers16203531

AMA Style

Ukegjini K, Warschkow R, Petrowsky H, Müller PC, Oberholzer J, Tarantino I, Jonas JP, Schmied BM, Steffen T. Intraoperative Allogeneic Blood Transfusion Has No Impact on Postoperative Short-Term Outcomes After Pancreatoduodenectomy for Periampullary Malignancies: A Propensity Score Matching Analysis and Mediation Analysis. Cancers. 2024; 16(20):3531. https://doi.org/10.3390/cancers16203531

Chicago/Turabian Style

Ukegjini, Kristjan, René Warschkow, Henrik Petrowsky, Philip C. Müller, José Oberholzer, Ignazio Tarantino, Jan Philipp Jonas, Bruno M. Schmied, and Thomas Steffen. 2024. "Intraoperative Allogeneic Blood Transfusion Has No Impact on Postoperative Short-Term Outcomes After Pancreatoduodenectomy for Periampullary Malignancies: A Propensity Score Matching Analysis and Mediation Analysis" Cancers 16, no. 20: 3531. https://doi.org/10.3390/cancers16203531

APA Style

Ukegjini, K., Warschkow, R., Petrowsky, H., Müller, P. C., Oberholzer, J., Tarantino, I., Jonas, J. P., Schmied, B. M., & Steffen, T. (2024). Intraoperative Allogeneic Blood Transfusion Has No Impact on Postoperative Short-Term Outcomes After Pancreatoduodenectomy for Periampullary Malignancies: A Propensity Score Matching Analysis and Mediation Analysis. Cancers, 16(20), 3531. https://doi.org/10.3390/cancers16203531

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop