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Identifying Perioperative Anesthetic Factors associated with Postoperative Morbidity in RobotAssisted vs. Open Pancreatoduodenectomy: A Cohort Study Antoon van den Enden (  t.vandenenden@hotmail.com ) Erasmus University Medical Center Bas Groot Koerkamp Erasmus University Medical Center Maya Maranus-Vereen Erasmus University Medical Center Markus Klimek Erasmus University Medical Center Research Article Keywords: Pancreatic surgery, robot-assisted surgery, pancreatoduodenectomy, perioperative guidance. DOI: https://doi.org/10.21203/rs.3.rs-145387/v1 License:   This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 1/25 Abstract Background: Robot-assisted pancreatoduodenectomy (RAPD) is a challenging procedure for the perioperative anesthesiologist, e.g. because of prolonged pneumoperitoneum exposure and reversedTrendelenburg positioning. Purpose of this retrospective cohort study is to identify differences in perioperative anesthesia-related factors between RAPD and open pancreatoduodenectomy (OPD) and to determine perioperative anesthetic factors associated with major morbidity (Clavien Dindo ≥ III) after RAPD. Methods: All consecutive patient undergoing pancreatoduodenectomy were retrospectively included during a two year inclusion period. Anesthesia charts were studied on uid management details, rates of vasopressor administration and arterial blood gas results. All factors were compared between both surgical approaches. Within RAPD, factors were subsequently compared between patients with major (Clavien Dindo ≥ III) vs. without major postoperative morbidity and between procedures with high and low intraoperative blood loss. Perioperative factors associated with considerable postsurgical morbidity (Clavien Dindo ≥ III) were identi ed by constructing a logistic regression model. Results: RAPD was associated with higher administration of intraoperative vasopressors (9.5% of operative time vs. 0% in OPD, p=0.005) and a higher net intraoperative uid balance (2497.6 vs. 1572.3 ml, p<0.001). OPD patients more frequently and quantitatively received colloids compared to RAPD patients (79.0% vs. 51.6%, p<0.001, 1000.0 vs. 500.0 ml, p<0.001). Intraoperative erythrocyte transfusion rate was 6.3% (4/64) for RAPD compared to 30.6% (19/62) for OPD (p<0.001). Colloid administration during surgery and hyperlactatemia after 12 hour postoperative admission were associated with major (Clavien Dindo ≥ III) morbidity after RAPD (OR 5.06 with 95% CI 1.49-17.20, p=0.009 and OR 3.18 with 95% CI 1.01-9.91, p=0.047, respectively). Conclusions: RAPD is a challenging procedure for the perioperative anesthesiologist e.g. considering a higher perioperative demand for vasopressors. Perioperative anesthetic factors, including hemodynamics and uid strategy might alter postoperative morbidity. However, current data is insu cient to make speci c recommendations. Background The robot-assisted approach of pancreatoduodenectomy was rst described in 2003 by Giulianotti et al. and has gained momentum as a minimally invasive technique for pancreatoduodenectomy surgery [1]. Robot-assisted pancreatoduodenectomy (RAPD) was already compared with conventional open pancreatoduodenectomy (OPD) for surgical outcomes by various cohort studies. Despite longer duration of surgery, RAPD is characterized by lower intraoperative blood loss with equal postoperative mortality rates and similar oncological outcome [2–4]. Although the surgical feasibility of RAPD is extensively reported, little is known about speci c anesthesiologic concerns of RAPD and how perioperative anesthesia-related factors affect postoperative outcome after RAPD. Page 2/25 The optimal intraoperative uid regimen during abdominal (including pancreatic) surgery in relation to postsurgical morbidity is part of ongoing scienti c debate. E.g., the 2018 RELIEF trial described an association between a more restrictive intraoperative net uid balance (median 3.7 liters) and an increased rate of postsurgical kidney injury after major abdominal surgery [5]. Grant et al. however observed no differences in postoperative major morbidity rate after randomizing between either a net liberal (12 ml kg− 1 hr− 1) vs. net restrictive (6 ml kg − 1 hr− 1) intraoperative uid balance for pancreatectomy surgery, both in a conventional and minimally-invasive approach [6]. RAPD presents several speci c perioperative challenges. The patient is exposed to pneumoperitoneum and placed in reversed-Trendelenburg position during the most of the surgical time. This speci c sequence has previously been described to alter central venous pressure, to increase blood carbon dioxide levels as well as to decrease cardiac output [7–9]. Compared to OPD, RAPD is expected to differ in perioperative vasopressor demands and levels of uid administration. The objective of this retrospective study was rstly to evaluate anesthesia-related differences of RAPD compared to OPD and secondly to identify independent anesthesia-related factors associated with postRAPD morbidity. Methods Population and study characteristics The local Medical Ethics Committee approved the study with waiver for informed patient consent with reference MEC-2019-0090 (Medical Ethics Committee, Erasmus MC University Hospital, Rotterdam, the Netherlands). The study protocol is performed in accordance with the relevant guidelines. All consecutive patients who underwent pancreatoduodenectomy (either RAPD or OPD) between January 1st 2017 and December 31st 2018 have been retrospectively included for analysis. RAPD has been performed in our tertiary referral center since January 2017. All procedures were undertaken by a dedicated team of two pancreatic surgeons or a pancreatic surgeon together with a pancreatic surgical fellow. RAPD was executed using the Da Vinci Model S robotic surgical device, which was later switched to the Model Xi (Intuitive Surgical Inc., Sunnyvale, CA, USA). OP was performed by or under direct supervision of three experienced consultant pancreatic surgeons. Different consultant anesthesiologists (n = 39) were involved in both surgical modalities. RAPD is characterized as full-robotic surgery, meaning both the resection and the reconstruction phase were conducted robotically-assisted. Patients were assigned to RAPD based on patient preference and availability of both the robot and the robotic surgical team. Patients were only excluded for RAPD in case of locally advanced pancreatic cancer. All patients were postoperatively admitted to a High Dependency Unit (HDU) or incidentally to an Intensive Care Unit (ICU). Protocols for postoperative management were identical for both units. Digital patient records were reviewed for patient demographics, intra- and postoperative management and postoperative outcome. Page 3/25 Demographic and baseline details Extracted baseline data included age, sex, body mass index (BMI) and medical history (comprising preoperative diabetes mellitus, any pulmonary, cardiac or vascular disease, any history of cerebrovascular accident (CVA) or transient ischemic attack (TIA), hypertension or prior kidney or liver failure). Besides, data were extracted on preoperative rates of any previous malignancy, (non-) abdominal surgery or neoadjuvant chemotherapy. Baseline comorbidity was graded according to American Society of Anesthesiologist’s (ASA) score and Charlson Comorbidity Index (CCI) [10]. Laboratory results (including hemoglobin (Hb), platelet count, estimated glomerular ltration rate (e-GFR) and levels of albumin, total bilirubin, creatinine and CA 19 − 9) were also extracted. Perioperative factors and postoperative outcome According to local protocol norepinephrine (NE) was routinely used as perioperative vasopressor adjunct. Anesthesia records were screened for NE doses on start and end of surgery as well as the frequency of an NE dosage exceeding 0.2 µg kg− 1 min− 1 (this dosage was chosen within our center as a cut-off for NEadministration via a central venous catheter instead of via a peripheral intravenous cannula). A central venous catheter was incidentally inserted based on preoperative anesthesiologist’s assessment. The amount of times NE dosage exceeded 0.2 µg kg− 1 min− 1 was expressed as time span in minutes and as percentage of operating room time (time span between entering and leaving the operating theatre). Operative time was de ned as the time interval between skin incision and wound closure. Fluid balances, including the necessity of erythrocyte transfusion, were studies up to 24 hours postoperatively. Results of arterial blood gas (ABG) analyses (including blood pH, partial CO2 (pCO2) pressure, lactate and Hb count) were evaluated at 3 points in time: rst available sample results during surgery, rst available results upon HDU/ICU admission and rst available results after a minimum of 12 hour HDU/ICU admission. The perioperative ABG results were also compared with the corresponding end tidal (et) CO2 level. Time to detubation was de ned as the time interval between wound closure and removal of the endotracheal tube. Pain scores, expressed as Numeric Rating Scale (NRS), were analyzed on postoperative days 1 and 3. Standard postoperative analgesic regimen comprised paracetamol (1000 mg 4 times daily) and naproxen (750 mg 3 times daily). OPD was preferably performed under additional epidural analgesia (routinely using ropivacaine 0.2% combined with sufentanil 1 µg ml− 1). For RAPD a patient controlled analgesia (PCA) device (morphine based) was used for postoperative analgesia. Once oral intake was possible again, epidural or PCA analgesia was if necessary converted to oral oxycodone. Patient records were analyzed for the total hours of postoperative HDU/ICU stay and the rate of prolonged HDU/ICU admission (de ned as exceeding 24 hours). Length of hospital stay was determined starting from the rst day after surgery. Postoperative morbidity was graded on a 90-day postsurgical interval using the Clavien Dindo (CD) score as well as the Comprehensive Complication Index [11, 12]. A CD score ≥ III was de ned as major postsurgical morbidity. Kidney failure was graded according to Page 4/25 European Society of Anesthesiologists’ (ESA) European Perioperative Clinical Outcome (EPCO) standards [13]. Mortality rates were calculated on postoperative days 30 and 90. Data processing and statistical analysis Baseline and perioperative factors were primarily analyzed for RAPD and OPD totals. Factors were subsequently compared for RAPD patients with major postsurgical morbidity (CD ≥ III) vs. RAPD patients without major postsurgical morbidity. In order to determine whether anesthetic factors were in uenced by intraoperative blood loss, factors ware also compared for RAPD patients with above vs. below median intraoperative blood loss (referred to as groups of high and low blood loss, respectively). Normal distribution of numerical data was assessed using a combination of visual inspection of histograms and Q-Q plots and the Shapiro-Wilk test. Numerical data on averages were presented as mean (standard deviation, SD) or median (interquartile range, IQR) as appropriate. Categorical data were presented with frequencies and percentages. An independent sample T-test or Mann-Whitney U-test was performed in comparing numerical data, a χ2 or Fisher’s exact test in categorical data. A logistic regression model was constructed using a backward stepwise approach to identify independent prognostic factors of major morbidity (CD ≥ III) after RAPD. Results herein were presented as odds ratio (OR) with corresponding 95% con dence interval. Throughout the study two-tailed P-values of < 0.05 were considered statistically signi cant. Statistical analysis was carried out using IBM SPSS Statistics (version 24.0, Armonk, NY, USA; IBM Corp.). Results During the inclusion period, 126 Consecutive patients underwent pancreatoduodenectomy (n = 64 RAPD, n = 62 OPD). RAPD vs. OPD No differences in age, BMI and baseline medical history could be demonstrated between RAPD and OPD patients (Table 1). Baseline hemoglobin level was lower for OPD (12.6 vs. 13.2 g dl− 1, p = 0.049). Operative time was 441.5 min. in RAPD compared to 318.0 min. in OPD (p < 0.001, Table 2). No RAPD procedures were converted to OPD. Net intraoperative uid balance was higher in RAPD (2497.6 vs. 1572.3 ml in OPD, p < 0.001). OPD patients more frequently and quantitatively received colloids compared to RAPD patients (79.0% vs. 51.6%, p < 0.001, 1000.0 vs. 500.0 ml, p < 0.001). Average intraoperative blood loss was 250.0 ml for RAPD compared to 1150.0 ml for OPD (p < 0.001) with an intraoperative erythrocyte transfusion rate of 6.3% (4/64) for RAPD compared to 30.6% (19/62) for OPD (p < 0.001). For RAPD, Hb levels were higher during surgery, upon HDU/ICU admission and after a minimum of 12 hour HDU/ICU admission (12.6 vs. 11.9 g dl− 1, p = 0.017, 12.6 vs. 11.3 g dl− 1, p < 0.001 and 12.1 vs. 11.0 g dl− 1 , p < 0.001, respectively). Page 5/25 Table 1 Demographic and baseline details for RAPD and OPD patients Variables RAPD vs. OPD RAPD (n = 64) OPD (n = 62) Post-RAPD morbidity P RAPD without major morbidity (CD < III, n = 36) RAPD with major morbidity P (CD ≥ III, n = 28) Age (yr) 67.8 ± 9.8 65.5 ± 10.1 0.188 66.8 ± 9.7 69.1 ± 9.9 0.340 Sex (M:F) 1.0:0.9 1.0:0.9 0.424 1.0:1.0 1.0:0.9 0.806 BMI (kg/m2) 25.0 (18.9– 37.9) 24.6 (16.7– 40.7) 2 0.179 25.9 ± 5.0 26.0 ± 3.3 0.909 Diabetes mellitus 17 (26.6) 22 (35.5) 0.337 12 (33.3) 5 (17.9) 0.254 Pulmonary disease 13 (20.3) 9 (14.5) 0.484 7 (19.4) 6 (21.4) 1.000 Cardiac disease 17 (26.6) 15 (24.4) 0.839 9 (25.0) 8 (28.6) 0.782 Vascular disease 2 (3.1) 5 (8.1) 0.269 1 (2.8) 1 (3.6) 1.000 CVA or TIA 5 (7.8) 6 (9.7) 0.761 3 (8.3) 2 (7.1) 1.000 Hypertension 28 (43.8) 25 (40.3) 0.721 11 (30.6) 17 (60.7) 0.023 Kidney or liver failure 10 (15.6) 10 (16.1) 1.000 4 (11.1) 6 (21.4) 0.312 Previous malignancy 19 (29.7) 18 (29.0) 1.000 9 (25.0) 10 (35.7) 0.256 Previous abdominal surgery 35 (54.7) 36 (58.1) 0.723 21 (58.3) 14 (50.0) 0.615 Previous nonabdominal surgery 41 (64.1) 43 (69.4) 0.574 22 (61.1) 19 (67.9) 0.610 I 8 (12.5) 4 (6.9) 4 0.543 6 (16.7) 2 (7.1) 0.460 II 45 (70.3) 41 (70.3) 25 (69.4) 20 (71.4) III 11 (17.2) 13 (22.4) 5 (13.9) 6 (21.4) Medical history ASA 4 4 Page 6/25 Variables RAPD vs. OPD RAPD (n = 64) OPD (n = 62) Post-RAPD morbidity P RAPD without major morbidity (CD < III, n = 36) IV 0 0 Score 5.4 ± 2.0 5.4 ± 1.9 Charlson = 0 0 0 Charlson = 1–3 12 (18.8) 10 (16.1) Charlson = 4–6 34 (53.1) Charlson = 7 Preoperative chemotherapy RAPD with major morbidity P (CD ≥ III, n = 28) 0 0 5.1 ± 1.9 5.8 ± 2.0 0.161 - - - 8 (22.2) 4 (14.3) 0.492 35 (56.5) 18 (50.0) 16 (57.1) 18 (28.1) 17 (27.4) 10 (27.8) 8 (28.6) 4 (6.3) 11 (17.7) 0.057 2 (5.6) 2 (7.1) 0.593 Hemoglobin level (mmol/L) 8.2 ± 0.9 7.8 ± 1.0 0.049 8.0 ± 0.9 8.4 ± 0.8 0.116 Platelet count (x 109/L) 266 ± 83 293 ± 78 0.063 264 (114–556) 236 (135– 402) 0.365 e-GFR (ml·min− 1·1.73− 1 m2) 81.3 ± 18.1 82.9 ± 17.5 0.610 84.4 ± 17.2 77.3 ± 18.7 0.123 Albumin level (g/L) 42.1 ± 7.2 41.8 ± 4.6 0.757 41.0 (24.0– 50.0) 1 42.0 (32.0– 75.0) 1 0.564 Total bilirubin level (umol/L) 11.5 (3.0214.0) 9.0 (3.0208.0) 1 0.218 12.5 (3.0-214.0) 10.5 (5.0– 51.0) 0.542 Creatinine level (umol/L) 77.0 ± 23.7 75.4 ± 18.8 0.675 73.5 ± 17.3 81.4 ± 29.7 0.216 Ca 19 − 9 (kU/L) 33.0 (1.05146.0) 29.0 (1.07408.0) 5 0.880 35.0 (1.05146.0) 33.0 (1.01908.0) 0.946 Charlson Comorbidity Index 0.900 0.332 Baseline laboratory 2 6 Page 7/25 Variables RAPD vs. OPD RAPD (n = 64) OPD (n = 62) Post-RAPD morbidity P RAPD without major morbidity (CD < III, n = 36) RAPD with major morbidity P (CD ≥ III, n = 28) Values are presented as number (proportion) or depending on normality distribution of cases as mean ± SD or median (interquartile range). Xn where n represents the number of missing cases. ASA, American Society of Anesthesiologists Classi cation; BMI, Body Mass Index; CD, Clavien Dindo; CVA, Cerebro Vascular Accident; e-GFR, Estimated Glomerular Filtration Rate; OPD, Open Pancreatoduodenectomy; RAPD, Robot-Assisted Pancreatoduodenectomy; TIA, Transient Ischemic Attack. Page 8/25 Table 2 Perioperative anesthesia-related factors, RAPD vs. OPD Variables RAPD vs. OPD RAPD (n = 64) OPD (n = 62) P Operating room time (min) 513.5 (377.0-836.0) 392.5 (240.0-802.0) < 0.001 Operative time (min) 441.5 (326.0-756.0) 318.0 (188.0-753.0) < 0.001 Net positive uid balance (ml) 2497.6 (544.05535.0) 1 1572.3 (50.025925.2) 3 < 0.001 Crystalloid dose (ml) 2100.0 (51.05137.0) 1 1896.0 (0.0-8337.4) 0.069 500.0 (0.0-2000.0) 1000.0 (0.0-5700.0) < 0.001 Colloid administration 33.0 (51.6) 1 49.0 (79.0) 3 < 0.001 Blood loss (ml) 250.0 (0.0–2500.0) 1150.0 (0.011585.0) 3 < 0.001 Intraoperative erythrocyte transfusion 4 (6.3)1 19 (30.6) < 0.001 NE dose on surgery’s start (ug·kg− 1·min− 1) 0.05 (0.00-0.20) 2 0.03 (0.00-0.72) 2 0.021 NE dose on surgery’s end (ug·kg− 1·min− 1) 0.06 (0.00-0.38) 1 0.06 (0.00-0.80) 0.821 NE dose > 0.2 ug·kg− 1·min− 1 (min) 1 (0–5) 1 0 (0–3) 1 0.005 Time span NE dose > 0.2 ug·kg− 1·min− 1 (min) 4.1 (0.0-610.0) 1 0.0 (0.0-393.0) 1 0.002 Operative time NE dose > ug·kg− 1·min− 1 (%) 9.5 (0.0-96.2) 1 0.0 (0.0-56.5) 1 0.005 Blood pH 7.32 ± 0.06 7 7.35 ± .0.06 2 0.021 Partial CO2 pressure (kPa) 6.2 (4.3–24.2) 7 5.6 (4.5–7.1) 2 < 0.001 Corresponding end-tidal CO2 (kPa) 5.0 ± 0.6 15 4.7 ± 0.3 8 0.001 Intraoperative uid balance Colloid dose (ml) 1 3 3 NE regimen First arterial BGA during surgery Page 9/25 Variables RAPD vs. OPD RAPD (n = 64) OPD (n = 62) P Lactate level (mmol/L) 0.7 (0.3–1.9) 7 0.7 (0.3–2.7) 2 0.884 Hemoglobin count (mmol/L) 7.8 ± 0.8 7 7.4 ± 1.0 2 0.017 Blood pH 7.33 ± 0.04 1 7.35 ± 0.05 0.013 Partial CO2 pressure (kPa) 5.8 (4.7–20.1) 1 5.5 (4.0-6.7) 0.002 Lactate level (mmol/L) 1.3 (0.1–6.3) 1 1.3 (0.4–11.7) 0.517 Hemoglobin count (mmol/L) 7.8 ± 0.9 1 7.0 ± 1.0 < 0.001 Blood pH 7.39 (7.29–7.48) 4 7.39 (7.23–7.47) 1 0.981 Partial CO2 pressure (kPa) 5.8 (4.7-7.0) 4 5.5 (3.8–7.9) 1 0.019 Lactate level (mmol/L) 1.1 (0.5–2.9) 4 1.0 (0.4–5.6) 1 0.803 Hemoglobin count (mmol/L) 7.5 ± 0.9 4 6.8 ± 1.0 1 < 0.001 First arterial BGA upon HCU/IDU admission First arterial BGA after ≥ 12 hours HCU/IDU admission Values are presented as number (proportion) or depending on normality distribution of cases as mean ± SD or median (interquartile range). Xn where n represents the number of missing cases. BGA, Blood Gas Analysis; HDU, High Dependency Unit; ICU, Intensive Care Unit; NE, Norepinephrine; OPD, Open Pancreatoduodenectomy; RAPD, Robot Assisted Pancreatoduodenectomy. On average, NE was administered in a higher dose at procedure’s start in RAPD (0.05 vs. 0.03 µg kg− 1 min− 1 in OPD, p = 0.021). During the intraoperative course of RAPD, NE dosage exceeded 0.2 µg kg− 1 min− 1 more frequently compared to OP with a net time span of 48 vs. 0 min (p = 0.002) and 9.5 vs. 0 percent of operating room time (p = 0.005). RAPD was characterized by lower average blood pH during surgery (7.32 vs. 7.35 in OPD, p = 0.021) with high pCO2 pressures and corresponding etCO2 levels (6.2 vs. 5.6 kPa in OPD, p < 0.001 and 5.0 vs. 4.7 kPa in OPD, p = 0.001, respectively). A similar trend is observed in RAPD patients upon HDU/ICU arrival (arterial blood pH 7.33 vs. 7.35 in OPD, p = 0.013 and pCO2 5.8 vs. 5.5 kPa in OPD, p = 0.002, Table 2). No differences were observed in major postoperative morbidity rate (CD ≥ III) between both surgical modalities (28/64, 43.8% in RAPD vs. 33/62, 53.2% in OPD, p = 0.373, Table 3). An average Comprehensive Complication Index of 32.7 was observed in RAPD vs. 49.9 in OPD (p = 0.012). Rates of postoperative acute kidney injury were 9/64 (14.5%) for RAPD vs. 6/92 (9.7%) for OPD (p = 0.583). Six Page 10/25 patients entered the procedure with pre-existing renal impairment (e-GFR < 60 ml min-1, n = 3 in RAPD and n = 3 in OPD). No further deterioration of kidney injury was observed in any of these patients. Average pain score on postoperative day 1 was 3 for RAPD compared to 1 for OPD (p < 0.001). On postoperative day 3, average pain score was 2 for both RAPD and OPD (p = 0.894). Table 3 Postoperative outcome after RAPD vs. OPD Variables RAPD (n = 64) OPD (n = 62) P Time to detubation (min) 32.0 (0.0-931.0) 11 21.0 (1.0-21714.0) 9 0.381 Stay HCU/IDU (hours) 19.5 (14.6–97.4) 21.6 (15.6-478.4) 1 < 0.001 Prolonged HDU/ICU admission 5 (7.8) 12 (19.7)1 0.069 Hospital stay (days) 11.5 (4.0–61.0) 14.5 (6.0-200.0)` 0.277 Comprehensive Complication Index 32.7 (0.0-100.0) 49.9 (8.7–100.0) 0.012 Grade III 20 (31.1) 23 (37.1) 0.574 Grade IIIA 15 (23.4) 14 (22.6) 1.000 Grade IIIB 5 (7.8) 9 (14.5) 0.268 Grade IV 8 (12.5) 10 (16.1) 0.617 Grade IVA 3 (4.7) 4 (6.5) 0.715 Grade IVB 5 (7.8) 6 (9.7) 0.761 => Grade III 28 (43.8) 33 (53.2) 0.420 Acute Kidney failure 9 (14.5) 6 (9.4) 0.583 30-day mortality 1 (1.6) 2 (3.2) 0.616 90-day mortality 5 (7.8) 4 (6.5) 1.000 NRS Postoperative day 1 3 (0–7) 8 1 (0–7) 3 < 0.001 NRS Postoperative day 3 2 (0–7) 9 2 (0–5) 16 0.894 CD morbidity rates Values are presented as number (proportion) or depending on normality distribution of cases as mean ± SD or median (interquartile range). Xn: where represents the number of missing cases. CD, Clavien Dindo; HDU, High Dependency Unit; ICU, Intensive Care Unit; NRS, Numeric Rating Scale; OPD, Open Pancreatoduodenectomy; RAPD, Robot Assisted Pancreatoduodenectomy. Major (CD ≥ III) vs. without major morbidity after RAPD Page 11/25 A higher rate of baseline hypertension was observed in the RAPD group with major postoperative morbidity (17/28, 60.7% vs. 11/36, 30.6% for the RAPD group without major morbidity, p = 0.023, Table 1). Intraoperative colloid administration and blood loss were higher in the RAPD group with major postoperative morbidity (500.0 vs. 0.0 ml, p = 0.002 and 350.0 vs. 200.0 ml, p = 0.047, respectively, Table 4). Average NE dose was higher at the end of surgery for the RAPD group with major postoperative morbidity (0.09 vs. 0.04 µg kg− 1 min− 1 for the RAPD group without major postoperative morbidity, p = 0.726). Upon HDU/ICU admission, lower arterial blood pH as well as higher lactate levels were observed in the RAPD group with major postoperative morbidity (7.32 vs. 7.34, p = 0.017 and 1.7 vs 1.3 mmol l− 1, in the RAPD group without major postoperative morbidity, respectively). A similar trend was observed after a minimum of 12 hour HDU/ICU admission (7.37 vs. 7.39, p = 0.016 and 1.4 vs. 0.9 mmol l− 1, respectively). Hospital stay was doubled in the RAPD group with major postoperative morbidity compared to the RAPD group without major postoperative morbidity (18.0 vs. 7.0 days, p < 0.001, Table 5). Within the 90-day inclusion period, n = 2 (RAPD) patients deceased due to early recurrence of malignant disease. Page 12/25 Table 4 Perioperative anesthetic factors in RAPD Variables RAPD (n = 64) Post-RAPD morbidity Intraoperative blood loss (RAPD) RAPD with major morbidity High Low (≥ 250 ml, n = 33) (< 250 ml, n = 31) (CD ≥ III, n = 28) RAPD without major morbidity (CD < III, n = 36) P Operating room time 513.5 (377.0836.0) 527.5 (397.0749.0) 513.5 (377.0836.0) 0.690 580.0 (397.0750.0) 478.0 (377.0836.0) 0.001 Operative time 441.5 (326.0756.0) 463.5 (353.0691.0) 441.5 (326.0756.0) 0.671 516.0 (353.0691.0) 410.0 (326.0756.0) 0.001 2497.6 (544.05535.0) 2777.1 ± 1046.9 1 2688.0 ± 806.3 0.704 3057.0 (544.05535.0) 2288.9 (1525.64346.9) 0.012 2100.0 (51.05137.0) 2267.4 ± 1110.4 1 2478.7 ± 1048.7 2080.6 6 ± 51.6 0.076 500.0 (0.02000.0) 500.0 (0.02000.0) 1 0.0 (1.01000.0) 500.0 (0.02000.0) 0.0 (0.01250.0) < 0.001 Colloid administration 33.0 (51.6) 1 20 (71.4) 13 (36.1) 0.005 25 (75.8) 1 8 (25.8) < 0.001 Blood loss (ml) 250.0 (0.0– 2500.0) 350.0 (0.02500.0) 200.0 (30.02000.0) 0.047 500.0 (250.02500.0) 150.0 (0.0200.0) < 0.001 Intraoperative erythrocyte transfusion 4 (6.3)1 2 (7.1) 1 2 (5.6) 1.000 4 (12.1) 0 0.113 0.05 (0.000.20) 2 0.05 (0.01– 0.20) 1 0.05 (0.000.20) 1 0.472 0.05 (0.000.19) 2 0.05 (0.000.20) 0.692 Intraoperative uid balance Net positive uid balance (ml) 1 1 Crystalloid dose (ml) 2294.4 ± 702.2 0.906 1 Colloid dose (ml) 1 1 1 0.002 1 1 NE regimen NE dose on surgery’s start (ug·kg− 1·min− 1) Page 13/25 Variables RAPD (n = 64) Post-RAPD morbidity Intraoperative blood loss (RAPD) RAPD with major morbidity High Low (≥ 250 ml, n = 33) (< 250 ml, n = 31) 0.09 (0.000.38) 1 0.04 (0.000.25) 0.518 1 (0–4) 1 (0–5) 0.374 134.0 (0.0600.0) 15.0 (0.0610.0) 0.283 (CD ≥ III, n = 28) RAPD without major morbidity (CD < III, n = 36) P NE dose on surgery’s end (ug·kg− 1·min− 1) 0.06 (0.000.38) 1 0.09 (0.000.22) 1 0.04 (0.000.38) 0.726 NE dose > 0.2 ug·kg− 1·min− 1 (min) 1 (0–5) 1 (0–5) 1 1 (0–3) 0.471 Time span NE dose > 0.2 ug·kg− 1·min− 1 (min) 4.1 (0.0610.0) 1 133.0 (0.0610.0) 1 22.5 (0.0550.0) 0.262 Operative time NE dose > ug·kg− 1 ·min− 1 (%) 9.5 (0.096.2) 1 20.4 (0.096.2) 1 5.0 (0.09.1) 0.298 20.8 (0.086.2) 1 4.0 (0.096.2) 0.431 Blood pH 7.32 ± 0.06 7 7.34 ± 0.06 3 7.31 ± 0.06 0.135 7.31 ± 0.06 3 7.33 ± 0.06 4 0.361 Partial CO2 pressure (kPa) 6.2 (4.3– 24.2) 7 6.1 (4.3– 8.1) 3 6.3 (5.3– 24.2) 4 0.681 6.3 (4.3– 8.4) 3 6.1 (5.1– 24.2) 4 0.695 Corresponding endtidal CO2(kPa) 5.0 ± 0.6 5.0 ± 0.7 5 5.0 ± 0.5 10 0.895 5.0 (3.9– 6.5) 8 5.0 (3.9– 6.6) 7 0.703 Lactate level (mmol/L) 0.7 (0.3– 1.9) 7 0.8 (0.3– 1.9) 3 0.7 (0.4– 1.3) 4 0.403 0.8 (0.3– 1.6) 3 0.7 (0.4– 1.9) 4 0.411 Hemoglobin count (mmol/L) 7.8 ± 0.8 7.9 ± 0.8 3 7.8 ± 0.9 4 0.526 7.7 ± 0.9 3 8.0 ± 0.8 4 0.180 7.33 ± 0.04 1 7.32 ± 0.04 7.34 ± 0.04 0.017 7.33 ± 0.05 1 7.33 ± 0.04 0.588 1 1 1 First arterial BGA during surgery 15 7 4 First arterial BGA upon HDU/ICU admission Blood pH 1 Page 14/25 Variables RAPD (n = 64) Post-RAPD morbidity Intraoperative blood loss (RAPD) RAPD with major morbidity High Low (≥ 250 ml, n = 33) (< 250 ml, n = 31) (CD ≥ III, n = 28) RAPD without major morbidity (CD < III, n = 36) P Partial CO2 pressure (kPa) 5.8 (4.7– 20.1) 1 5.8 (4.8– 20.1) 5.8 (4.6– 10.7) 1 0.241 5.8 (4.7– 20.1) 1 5.8 (5.010.7) 0.588 Lactate level (mmol/L) 1.3 (0.1– 6.3) 1 1.7 (0.5– 6.3) 1.3 (0.1– 6.3) 1 0.021 1.6 (0.5– 6.3) 1 1.0 (0.1– 3.7) 0.008 Hemoglobin count (mmol/L) 7.8 ± 0.9 7.8 ± 0.9 7.8 ± 0.9 1 0.874 7.5 ± 0.9 1 8.1 ± 0.8 0.007 Blood pH 7.39 (7.29– 7.48) 4 7.37 ± 0.04 1 7.39 ± 0.03 0.016 7.38 ± 0.04 3 7.40 ± 0.04 1 0.131 Partial CO2 pressure (kPa) 5.8 (4.77.0) 4 5.8 ± 0.5 1 5.6 ± 0.5 3 0.190 5.8 (4.8– 6.3) 3 5.7 (4.97.0) 1 0.906 Lactate level (mmol/L) 1.1 (0.5– 2.9) 4 1.4 (0.6– 2.8) 1 0.9 (0.5– 2.9) 3 0.014 1.2 (0.7– 2.8) 3 1.0 (0.5– 2.9) 1 0.282 Hemoglobin count (mmol/L) 7.5 ± 0.9 7.7 (5.2– 8.7) 1 7.6 (6.1– 9.5) 3 0.864 7.1 ± 0.9 3 7.9 ± 0.7 1 < 0.001 1 First arterial BGA after ≥ 12 hours HDU/ICU admission 4 3 Values are presented as number (proportion) or depending on normality distribution of cases as mean ± SD or median (interquartile range). Xn where n represents the number of missing cases. BGA, Blood Gas Analysis; HDU, High Dependency Unit; ICU, Intensive Care Unit; NE, Norepinephrine; OPD, Open Pancreatoduodenectomy; RAPD, Robot Assisted Pancreatoduodenectomy. Page 15/25 Table 5 Postoperative outcome after RAPD Variable RAPD (n = 64) Post-RAPD morbidity RAPD with major morbidity (CD ≥ III, n = 28) Time to detubation (min) RAPD without major morbidity Intraoperative (RAPD) blood loss P (CD < III, n = 36) P High Low (≥ 250 ml, n = 33) (< 250 ml, n = 31) 55.0 (0.0931.0) 22.5 (0.0185.0) 0.327 32.0 (0.0931.0) 49.5 (0.0403.0) 6 Stay HDU/ICU (hours) 11.5 (4.0– 61.0) 20.0 (15.3– 97.4) 19.1 (14.6– 44.0) 0.140 18.8 (14.097.4) 19.7 (14.6– 44.9) 0.122 Prolonged HDU/ICU admission 5 (7.8) 4 (14.3) 1 (2.8) 0.159 3 (9.1) 2 (6.5) 1.000 Hospital stay (days) 10.5 (4.0– 61.0) 19.0 (5.0– 61.0) 8.0 (4.0– 37.0) < 0.001 17.0 (5.061.2) 9.0 (4.0– 48.0) 0.002 Comprehensive Complication Index 32.7 (0.0100.0) 64.5 (0.0100.0) 21.8 (0.0100.0) < 0.001 51.5 (12.2– 100.0) 24.2 (0.099.9) < 0.001 28 (43.8) - - - 20 (60.6) 8 (25.8) 0.006 NRS Postoperative day 1 3 (0–7) 3 (0–7) 1 2 (0–7)7 0.248 3 (0– 7) 3 2 (0– 7) 5 0.255 NRS Postoperative day 3 2 (0–7) 2 (0–7) 3 2 (0–4)6 0.071 2 (0– 7) 4 2 (0– 7) 5 0.562 24.0 (0.0931.0) 5 0.316 8 11 CD ≥ Grade III 8 9 3 Values are presented as number (proportion) or median (interquartile range). Xn where n represents the number of missing cases. CD, Clavien Dindo; HDU, High Dependency Unit; ICU, Intensive Care Unit; NRS, Numeric Rating Scale; OPD, Open Pancreatoduodenectomy; RAPD, Robot Assisted Pancreatoduodenectomy. High vs. low intraoperative blood loss in RAPD Average intraoperative blood loss was 250 ml in RAPD (Table 2), n = 33 RAPD procedures were characterized by high (≥ 250 ml) vs. 31 RAPD procedures by low (< 250 ml) intraoperative blood loss. Both operating room and operative time were longer in the RAPD group with high intraoperative blood Page 16/25 loss (580.0 vs. 487.0 min., p = 0.001 and 518.0 vs. 410.0 min., p = 0.001, respectively, Table 4) compared to the RAPD group with low intraoperative blood loss. Average NE dose was higher at the end of surgery for the RAPD group with high intraoperative blood loss (0.09 vs. 0.04 µg kg− 1 min− 1 in the RAPD group with low intraoperative blood loss). NE-dose trended to exceed 0.2 µg kg− 1 min− 1 more frequently in the RAPD group of high intraoperative blood loss (134.0 vs. 15.0 min, p = 0.283, and 20.8% vs. 4.0% of operative time in the RAPD group of low intraoperative blood loss, p = 0.431). Upon HDU/ICU admission, lactate levels were higher in the RAPD group of high intraoperative blood loss (1.6 vs. 1.0 mmol l− 1 in the RAPD group of low intraoperative blood loss, p = 0.008). Length of hospital stay was doubled for the RAPD group of high intraoperative blood loss (16.0 vs. 8.0 days in the RAPD group of low intraoperative blood loss, p = 0.002, Table 5). A higher rate of postoperative morbidity was observed in the RAPD group with high intraoperative blood loss (Comprehensive Complication Index of 51.5 vs. 24.2 in the RAPD group with low intraoperative blood loss, p < 0.001). Besides, a higher rate of major postoperative morbidity (CD ≥ III) was observed in the RAPD group of high intraoperative blood loss (20/33, 60.6% vs. 8/31, 25.8% in the RAPD group of low intraoperative blood loss, p = 0.006). Predictors of major morbidity after RAPD After univariate logistic regression analysis, anesthesia-related factors independently associated with major morbidity (CD ≥ III) after RAPD were a baseline medical history of hypertension (OR 3.51, 95% CI 1.24–9.92, p = 0.018), colloid administration during surgery (OR 5.06, 95% CI 1.69–15.14, p = 0.004), lactate level upon HDU/ICU admission (OR 2.47, 95% CI 1.27–4.82, p = 0.008) and lactate level after 12 hour HDU/ICU admission (OR 3.66, 95% CI 1.29–10.44, p = 0.015, Table 6). After backward stepwise regression, colloid administration during surgery and lactate level after 12 hour HDU/ICU admission remained independently associated with major morbidity after RAPD (OR 5.06, 95% CI 1.49–17.2, p = 0.009 and OR 3.18, 95% CI 1.01–9.91, p = 0.047, respectively). Page 17/25 Table 6 Logistic regression analysis : anesthesia-related factors independently associated with major morbidity (CD ≥ III) after RAPD Variable Univariable analysis Backward stepwise regression OR 95% CI P OR 95% CI P Medical history of hypertension 3.51 1.24 to 9.92 0.018 3.28 0.97 to 11.13 0.057 Intraoperative colloid administration 5.06 1.69 to 15.14 0.004 5.06 1.49 to 17.20 0.009 Blood loss during surgery (ml) 1.12 1.00 to 1.26 0.058 Operating room time (min) 1.00 1.00 to 1.01 0.599 Lactate level in rst BGA after HDU/ICU admisison (mmol/L) 2.47 1.27 to 4.82 0.008 3.66 1.29 to 10.44 0.015 3.18 1.01 to 9.91 0.047 Lactate level in BGA after ≥ 12 hour HDU/ICU admisison (mmol/L) BGA, Blood Gas Analysis; CI, con dence interval; CD, Clavien Dindo; HDU, High Dependency Unit; ICU, Intensive Care Unit; NE, Norepinephrine’ OR, Odds Ratio’ RAPD, Robot Assisted Pancreatoduodenectomy. Discussion After comparing perioperative anesthetic factors for RAPD and OPD, RAPD is characterized by higher demands of vasopressor support and higher intra- and postoperative pCO2 and Hb-levels. Although net intraoperative uid balance and vasopressor demands are higher in RAPD, levels of colloid and erythrocyte transfusion are lower for RAPD compared to OPD. Rates of major postoperative morbidity (CD ≥ III) were similar for the surgical approaches. Within patients who developed major morbidity (CD ≥ III) after RAPD, vasopressor demands and necessity of colloid administration tended to be higher. The need for intraoperative colloid administration and increased postoperative lactate levels were independently associated with major morbidity (CD ≥ III) after RAPD. Comparing outcomes, the surgical modality itself in uences the development of major morbidity less than patient-related variables. We report a small fraction of patients marked ASA class III and above (11/64, 17.2% in RAPD and 13/62, 22.4% in OPD), compared to earlier studies reporting percentages up to 43.1 and 82.4% [14, 15]. This discrepancy might suggest an underrating of ASA grading, in contrast with the 2017 strengthened ASA classi cations [16]. ASA scores in our series are however in concordance with Page 18/25 recent ndings of van Roessel et al., reporting 21.8% ASA III patients in a cohort of n = 3341 pancreatoduodenectomy and distal pancreatectomy procedures, using Dutch Nationwide Pancreatic Cancer Audit data [17, 18]. Van Roessel et al. predict worse outcome after pancreatoduodenectomy in ASA ≥ III patients (OR 0.59, 95% CI 0.44–0.80, for achieving optimal outcome after pancreatic surgery). In our study ASA class itself was not an individual predictor for postoperative major morbidity (CD ≥ III) where baseline hypertension was (OR 3.51, 95% CI 1.24–9.92). This nding, compared with higher vasopressor demands in RAPD, implies as association between baseline cardiovascular condition and postoperative outcome after RAPD. However, a medical history of hypertension might comprise several baseline conditional factors with itself a possible in uence on postoperative morbidity (e.g. increased BMI, vascular remodeling or pre-existing renal insu ciency). A higher need for intraoperative vasopressor administration in RAPD could be explained by differences in patient positioning (reversed-Trendelenburg in RAPD vs. supine in OPD) as well as exposure to pneumoperitoneum, affecting cardiac afterload and cardiac output [7–9]. Higher demand for vasopressor administration in RAPD was not necessarily re ected by worse baseline physical condition. Although OPD patients more often received neoadjuvant chemotherapy and baseline hemoglobin levels were lower, no differences in baseline medical condition could be demonstrated between both surgical approaches. Although the intraoperative use of vasopressors was evident, we feel supported by recently published data that routinely insertion of a central venous catheter is not mandatory in RAPD or OPD patients [19, 20]. The 2018 RELIEF Study reported on postoperative outcome after distinct intraoperative uid strategies during major abdominal surgery, differentiating between an either restrictive (median crystalloid + colloid 2177) or liberal (median crystalloid + colloid 3500 ml) net intraoperative uid balance [5]. Whereas no differences were observed in general postoperative outcome between both uid approaches, a liberal intraoperative uid strategy was associated with lower rates of postoperative kidney failure (17/1439, 5.0% for liberal vs. 124/1443, 8.6% for restrictive, p < 0.001). In comparison, we report a median intraoperative uid balance of 2800 ml and a 9/64 (14.5%) rate of postoperative acute kidney injury in RAPD patients. Bannone et al. observed an increased rate of post pancreatoduodenectomy pancreatitis in patients exposed to a near-zero net perioperative uid regime, suggesting a more restrictive perioperative uid balance to be associated with an increased risk of postoperative pancreatic stula [21]. On the contrary, the 2019 meta-analysis by Garland et al. reported an OR of 0.54 (95% CI 0.31–0.94) for major morbidity post pancreatoduodenectomy surgery after following a more restrictive intraoperative uid strategy [22]. The optimal intraoperative uid regime in pancreatoduodenectomy remains point of debate and prospective research should extrapolate this topic to minimally-invasive vs. conventional pancreatoduodenectomy surgery. We observed an association between the intraoperative administration of colloids and development of major morbidity after RAPD (OR 5.06, 95% CI 1.96–15.14, p = 0.009). This nding is in accordance with Simões, reporting an OR of 1.86 (95% CI 1.03–4307) for development of major postoperative morbidity after the intraoperative administration of colloids (n = 308 elective surgeries for abdominal malignancies, Page 19/25 including n = 22 pancreatic surgical procedures) [23]. In our RAPD series of low intraoperative blood loss, 8/31 (25.8%) of patients vs. 25/33 (75.8%) of patients in the RAPD group of high intraoperative blood loss intraoperative received colloids. It is important to consider which patient category requires intraoperative colloid transfusion. Since colloid administration is part of therapy for major blood loss in our center’s protocol, the association of intraoperative colloid administration and development of major postoperative morbidity (CD ≥ III) does not necessarily have to re ect a direct causative effect. Over the perioperative course, pH values were higher in RAPD compared to OPD (7.35 vs. 7.32 on beginning of surgery, p = 0.021 and 7.35 vs. 7.33 upon HDU/ICU arrival, p = 0.013). These differences in pH levels do not re ect clinical relevance and moderately higher perioperative pH levels in RAPD can well be explained by exposure to pneumoperitoneum and (retroperitoneal) absorption of CO2. In our series a higher lactate level after a minimum admission of 12 hours on HDU/ICU was associated with major morbidity after RAPD (OR 3.18, 95% CI 1.01–9.91, p = 0.047). This is in accordance with De Schryver et al., reporting an OR of 3.58 (95% CI 1.22–10.18, p = 0.020) for 6-hour post pancreatic (laparotomic) surgery hyperlactatemia and development of postoperative pancreatic stula [24]. Average postoperative pain scores during the rst postoperative day were higher in RAPD compared to OPD. The reported rst postoperative day NRS of 3 in RAPD compared to a NRS of 1 in OPD is of limited clinical relevance and therefore not attributable to major morbidity. Besides, this moderate difference can well be explained by the routine application of additional epidural analgesia in OPD, in accordance with previously reported studies on additional epidural analgesia during pancreatoduodenectomy [25]. Our study comprises several limitations. First the retrospective single-center study design covering a relatively high, but still limited number of procedures. Due to the limited number of surgeons, the surgical approach was very standardized. This is in contrast to the perioperative anesthetic care, which was provided by n = 39 different consultant anesthesiologists who followed available protocols with different levels of adherence. Conclusions Speci c differences exist in perioperative anesthesia-related factors between RAPD and OPD. RAPD is associated with higher levels of vasopressor drug administration as well as higher net perioperative uid balance. Besides, levels of colloid and erythrocyte transfusion are lower for RAPD compared to OPD. Baseline hypertension, perioperative colloid administration and increased lactate levels after surgery were associated with higher rates of major morbidity (CD ≥ III) after RAPD. A more restrictive intraoperative uid regime has previously been shown to increase postoperative (nephrogenic) morbidity, present evidence is however contradictory. Current data is insu cient to make speci c recommendations on perioperative anesthetic guidance in RAPD. However, intraoperative hemodynamics including uid strategy might in uence postoperative morbidity and should be the focus of future prospective research. Abbreviations Page 20/25 ABG = Arterial Blood Gas ASA = American Society of Anesthesiologists BMI = Body Mass Index CCI = Charlson Comorbidity Index CD = Clavien Dindo CVA = Cerebro Vascular Accident e-GFR = Estimated Glomerular Filtration Rate EPCO = European Perioperative Clinical Outcome ESA = European Society of Anesthesiology ET = End Tidal Hb = Hemoglobin HDU = High Dependency Unit ICU = Intensive Care Unit IQR = Inter Quartile Range NE = Norepinephrine NRS = Numeric Rating Scale OPD = Open Pancreatodudoenectomy OR = Odds Ratio PCA = Patient Controlled Analgesia pCO2 = Partial Carbon dioxide pO2 = Partial Oxygen RAPD = Robot Assisted Pancreatoduodenectomy SD = Standard Deviation TIA = Transient Ischemic Attack Page 21/25 Declarations Ethics approval and consent to participate The local Medical Ethics Committee approved the study with waiver for informed patient consent with reference MEC-2019-0090 (Medical Ethics Committee, Erasmus MC University Hospital, Rotterdam, the Netherlands). Consent for publication Not applicable Availability of data and materials The datasets used and analysed during the current study are available from the corresponding author on reasonable request. Competing interests The authors declare that they have no competing interests. Funding Funding was provided solely from institutional and/or departmental sources. Authors’ contributions AE was responsible for data acquisition, methodology, formal analysis and visualization of data. Conceptualization was performed by BGK and MK. Writing of the original draft was conducted by AE. BGK, MMV and MK reviewed and edited the manuscript. The nal manuscript was read and approved by all authors. Acknowledgements The authors thank Khe T.C.K. Tran, MD, consultant surgeon (department of Surgery, Division of Hepatobiliary, Pancreatic- and Transplant Surgery at Erasmus University MC, Rotterdam, the Netherlands) for her help in implementing the robot-assisted pancreatoduodenectomy in our university hospital. We also acknowledge Casper H.J. van Eijck, MD, PhD, professor and consultant surgeon (department of Surgery, Division of Hepatobiliary, Pancreatic- and Transplant Surgery at Erasmus University MC, Rotterdam, the Netherlands) for leading and coordinating the pancreatic surgical team in our university hospital. References Page 22/25 1. Giulianotti PC, Coratti A, Angelini M, Sbrana F, Secconi S, Balestracci T et al. Robotics in general surgery: personal experience in a large community hospital. Arch Surg. 2003 Jul; 138(7): 777 – 84. https://doi.10.001/archsurg.138.7.777. 2. Chen S, Chen JZ, Zhan Q, Deng XX, Shen BY, Peng CH et al. Robot-assisted laparoscopic versus open pancreaticoduodenectomy: a prospective, matched, mid-term follow-up study. Surg Endosc. 2015 Dec; 29(12): 3698 – 711. https://doi.10.1007/s00464-015-4140-y. 3. Boggi U, Napoli N, Costa F, Kauffmann EF, Menonna F, Iacopi, S et al. Robotic-assisted pancreatic resections. World J Surg. 2016 Oct; 40(10): 2497 – 506. https://doi.10.1007/s00268-016-3565-3. 4. Wang SE, Shyr BU, Chen SC, Shyr YM. Comparison between robotic and open pancreaticoduodenectomy with modi ed Blumgart pancreaticojejunostomy: a propensity scorematched study. Surgery. 2018 Dec; 164(6): 1162-7. https://doi.10.1016/j.surg.2018.06.031. 5. Myles PS, Bellomo R, Corcoran T, Forbes A, Peyton P, Story D et al. Restrictive versus liberal uid therapy for major abdominal surgery. N Engl J Med. 2018 Jun; 378(24): 2263-74. https://doi.10.1056/NEJMoa1801601. 6. Grant F, Brennan MF, Allen PJ, DeMatteo RP, Kingham P, D’Angelica M et al. Prospective randomized controlled trial of liberal vs restricted perioperative uid management in patients undergoing pancreatectomy. Ann Surg. 2016 Oct; 264(4): 591-8. https://doi.10.1097/SLA.0000000000001846. 7. Odeberg S, Ljungqvist O, Svenberg T, Gannedahl P, Bäckdahl M, von Rosen A et al. Hemodynamic effects of pneumoperitoneum and the in uence of posture during anesthesia for laparoscopic surgery. Acta Anesthesiol Scand. 1994 Apr; 38(3): 276 – 83. https://doi.10.1111/j.13996576.1994.tb03889.x. 8. He H, Gruartmoner G, Ince Y, van Berge Henegouwen M, Gisbertz SS, Geerts BF et al. Effect of pneumoperitoneum and steep reverse-Trendelenburg position on mean systemic lling pressure, venous return, and microcirculation during esophagectomy. J Thorac Dis. 2018 Jun; 10(6): 3399 – 408. https://doi.10.21037/jtd.2018.05.169. 9. Atkinson TM, Giraud GD, Togioka BM, Jones DB, Cigarroa JE. Cardiovascular and ventilatory consequences of laparoscopic surgery. Circulation. 2017 Feb; 135(7): 700 – 10. https://doi.10.1161/CIRCULATIONAHA.116.023262. 10. Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987; 40(5): 373 – 83. https://doi.10.1016/0021-9681(87)90171-8. 11. Dindo D, Demartines N, Clavien PA. Classi cation of surgical complications: a new proposal with evaluation in a cohort of 6336 patients and results of a survey. Ann Surg. 2004 Aug; 240(2): 205 – 13. https://doi.10.1097/01.sla.0000133083.54934.e. 12. Slankamenac K, Graf R, Barkun J, Puhan MA, Clavien PA. The comprehensive complication index: a novel continuous scale to measure surgical morbidity. Ann Surg. 2013 Jul; 258(1): 1–7. https://doi.10.1097/SLA.0b013e318296c732. Page 23/25 13. Jammer I, Wickboldt N, Sander M, Smith A, Schultz MJ, Paolo P et al. Standards for de nitions and use of outcome measures for clinical effectiveness research in perioperative medicine: European Perioperative Clinical Outcome (EPCO) de nitions: a statement from the ESA-ESICM joint taskforce on perioperative outcome measures. Eur J Anesthesiol. 2015 Feb; 32 (2): 88–105. https://doi.10.1097/EJA.0000000000000118. 14. Kim JH, Gonzalez-Heredia R, Daskalaki D, Rashdan M, Masrur M, Giulianotti PC. Totally replaced right hepatic artery in pancreaticoduodenectomy: is this anatomical condition a contraindication to minimally invasive surgery? HPB (Oxford). 2016 Jul; 18(7): 580-5. https://doi.10.1016/j.hpb.2016.04.009. 15. Jung JP, Zenati MS, Dhir M, Zureikat AM, Zeh HJ, Simmons RL et al. Use of video review to investigate technical factors that may be associated with delayed gastric emptying after pancreaticoduodenectomy. JAMA Surg. 2018 Oct; 153(10): 918 – 27. https://doi.10.1001/jamasurg.2018.2089. 16. Hurwitz EE, Simon M, Vinta SR, Zehm CF, Shabot SM Minhajuddin A et al. Adding examples to the ASA-physical status classi cation improves correct assignment to patients. Anesthesiology. 2017 Apr; 126(4): 614 – 22. https://doi.10.1097/ALN.0000000000001541. 17. Van Roessel S, Mackay TM, Van Dieren S, Van der Schelling GP, Nieuwenhuijs VB, Bosscha K et al. Textbook outcome: nationwide analysis of a novel quality measure in pancreatic surgery. Ann Surg. 2020 Jan; 271(1): 155 – 62. https://doi.10.1097/SLA0000000000003451. 18. Bengt van Rijssen L, Groot Koerkamp B, Zwart MJ, Bonsing BA, Bosscha K, Van Dam RM et al. Nationwide prospective audit of pancreatic surgery: design, accuracy, and outcomes of the Dutch Pancreatic Cancer Audit. HPB (Oxford). 2017 Oct; 19(10): 919 – 26. https://doi.10.1016/j.hpb.2017.06.010. 19. Lewis T, Merchan C, Altshuler D, Papadopoulos J. Safety of the peripheral administration of vasopressor agents. J Intensive Care Med. 2019 Jan; 34(1): 26–33. https://doi.10.1177/0885066616686035. 20. Tian DH, Smyth C, Keijzers G, Mackdonald SP, Peake S, Udy A et al. Safety of peripheral administration of vasopressor medications: a systematic review. Emerg M Australas. 2020 Apr; 32(2): 220-7. https://doi.10.1111/1742-6723.13406. 21. Bannone E, Andrianello S, Marchegiani G, Masini G, Malleo G, Bassi C et al. Postoperative acute pancreatitis following pancreaticoduodenectomy: a determinant of stula postentially driven by the intraoperative uid management. Ann Surg. 2018 Nov; 268(5): 815 – 22. https://doi.10.1097/SLA.0000000000002900. 22. Garland ML, Mace HS, MacCormick AD, McCluskey SA, Lightfoot N. Restrictive versus liberal uid regimens in patients undergoing pancreaticoduodenectomy: a systematic review and meta-analysis. J Gastrointest Surg. 2019 Jun; 23(6): 1250-65. https://doi.10.1007/s11605-018-04089-6. 23. Simões CM, Carmona MJC, Hajjar LA, Vincent JL, Landoni G, Belletti A. Predictors of major complications after elective abdominal surgery in cancer patients. BMC Anesthesiol. 2018 May; Page 24/25 18(1): 49. https://doi.10.1186/s12871-018-0516-6. 24. De Schryver N, Wittebole X, Hubert C, Gigot JF, Laterre PF, Castanares-Zapatero D. Early hyperlactatemia predicts pancreatic stula after surgery. BMC Anesthesiol. 2015 Jul; 28(15): 109. https://doi.10.1186/s12871-015-0093-x. 25. Groen JV, Khawar AAJ, Bauer PA, Bonsing BA, Martini CH, Mungroop TH et al. Meta-analysis of epidural analgesia in patients undergoing pancreatoduodenectomy. BJS Open. 2019 Apr; 29(5): 559–571. https://doi.10.1002/bjs5.50171. Page 25/25