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Introduction: Normovolemia after major surgery is critical to avoid complications. The aim of the present study was to analyze correlation between fluid balance, weight gain, and postoperative outcomes. Methods: All consecutive patients undergoing elective or emergency major abdominal surgery needing intermediate care unit (IMC) admission from September 2017 to January 2018 were included. Postoperative fluid balances and daily weight changes were calculated for postoperative days (PODs) 0–3. Risk factors for postoperative complications (30-day Clavien) and prolonged length of IMC and hospital stay were identified through uni- and multinominal logistic regression. Results: One hundred eleven patients were included, of which 55% stayed in IMC beyond POD 1. Overall, 67% experienced any complication, while 30% presented a major complication (Clavien ≥ III). For the entire cohort, median cumulative fluid balance at the end of PODs 0–1–2–3 was 1850 (IQR 1020–2540) mL, 2890 (IQR 1610–4000) mL, 3890 (IQR 2570–5380) mL, and 4000 (IQR 1890–5760) mL respectively, and median weight gain was 2.2 (IQR 0.3–4.3) kg, 3 (1.5–4.7) kg, and 3.9 (2.5–5.4) kg, respectively. Fluid balance and weight course showed no significant correlation (r = 0.214, p = 0.19). Extent of surgery, analyzed through Δ albumin and duration of surgery, significantly correlated with POD 2 fluid balances (p = 0.04, p = 0.006, respectively), as did POD 3 weight gain (p = 0.042). Prolonged IMC stay of ≥ 3 days was related to weight gain ≥ 3 kg at POD 2 (OR 2.8, 95% CI 1.01–8.9, p = 0.049). Conclusion: Fluid balance and weight course showed only modest correlation. POD 2 weight may represent an easy and pragmatic tool to optimize fluid management and help to prevent fluid-related postoperative complications. [ABSTRACT FROM AUTHOR]

Introduction: Training and teaching are cornerstones in developing surgical skills. The present study aimed to compare intraoperative outcomes of colonic resections among fellows, consultants, and supervised trainees.Methods: Data of consecutive colonic resections including demographics, surgical details, and intraoperative outcomes were recorded in a prospectively maintained institutional database. All procedures were standardized and divided in three groups according to the main surgeons experience (fellow or consultant) and whether the procedure was taught. After weighting by inverse treatment probability, intraoperative adverse events including reactive conversion, blood loss, and operating time were compared between these three groups.Results: Six hundred sixty-four colectomies were analyzed between January 2014 and October 2017. Among them, 289 (43.5%) were taught. After weighted propensity score analysis, there was no difference between the three groups (fellow taken as reference), for intraoperative adverse event rate (odd ratio (OR) consultant 1.448 (IQR 0.728-2.878), p = 0.282; OR teaching 0.689 (IQR 0.295-1.609), p = 0.381), operating time (beta coefficient 0.76 (− 21.91-23.42), p = 0.947; beta coefficient − 10.79 (− 28.34-6.75), p = 0.919), conversion rates (OR 0.748 (0.329-1.515), p = 0.412; OR 1.025 (0.537-1.954), p = 0.940), pre-emptive conversion (OR 1.994 (0.198-20.032), p = 0.552; OR 0.659 (0.145-2.991), p = 0.583), intraoperative blood loss (beta coefficient 21.19 (− 25.87-68.25), p = 0.368; beta coefficient − 12.34 (− 56.13-31.44), p = 0.573), intraoperative transfusion (OR 1.962 (0.813-4.735), p = 0.127; OR 0.670 (0.260-1.727), p = 0.397), and rates of unusual bleeding (OR 1.273 (0.698-2.321), p = 0.422; OR 0.572 (0.290-1.126), p = 0.099). Time to preemptive conversion was shorter when procedures were performed by consultants (beta coefficient − 25.51 (− 47.71 to − 3.31), p = 0.025), while no difference was found for the teaching group (beta coefficient 4.48 (− 30.95-40.62), p = 0.788).Conclusion: Within a standardized teaching environment, colonic resections were safely performed regardless of the surgical setting in the present cohort. Teaching does not increase intraoperative adverse events. [ABSTRACT FROM AUTHOR]

Background/Aims: The aim of the current study was to assess the postoperative evolution of nutritional status and to relate it with postoperative outcomes. Methods: Demographic, surgical and nutritional parameters were assessed 10 days preoperatively (d-10) and 30 days postoperatively (d30) in 146 patients. Risk factors responsible for perioperative (>5% between d-10 and d30) weight loss were identified. Overall, severe (Clavien 3-5) and infectious complications were compared in patients with and without perioperative weight loss (>5%). Results: Nutritional status worsened beyond the postoperative period as reflected by decreasing weight (67 ± 13 kg at d-10 vs. 63 ± 13 kg at d30, p < 0.001), body mass index (23.4 ± 4 vs. 22.2 ± 4 kg/m 2, p < 0.001) and mid upper-arm muscle circumference (MAMC, 241 ± 32 vs. 232 ± 30 mm, p < 0.001). Fifty-two patients (46%) lost >5% of their body weight between d-10 and d30. Patients who presented overall (63 vs. 36%, p = 0.004) and major (27 vs. 10%, p = 0.016) postoperative complications were at significantly higher risk to deteriorate postoperative nutritional status. Multivariate analysis identified low preoperative lean body mass (OR 3.2; 95% CI 1.2-8.9, p = 0.023) and low preoperative MAMC (OR 2.5; 95% CI 0.9-6.8, p = 0.066) as independent risk factors for perioperative weight loss. Conclusions: These data suggest continuing nutritional follow- up after the index hospitalization. [ABSTRACT FROM AUTHOR]

Background: The aim of the current study was to assess whether widely used nutritional parameters are correlated with the nutritional risk score (NRS-2002) to identify postoperative morbidity and to evaluate the role of nutritionists in nutritional assessment. Methods: A randomized trial on preoperative nutritional interventions (NCT00512213) provided the study cohort of 152 patients at nutritional risk (NRS-2002 ≥3) with a comprehensive phenotyping including diverse nutritional parameters (n=17), elaborated by nutritional specialists, and potential demographic and surgical (n=5) confounders. Risk factors for overall, severe (Dindo-Clavien 3-5) and infectious complications were identified by univariate analysis; parameters with P<0.20 were then entered in a multiple logistic regression model. Results: Final analysis included 140 patients with complete datasets. Of these, 61 patients (43.6%) were overweight, and 72 patients (51.4%) experienced at least one complication of any degree of severity. Univariate analysis identified a correlation between few (≤3) active co-morbidities (OR=4.94; 95% CI: 1.47-16.56, p=0.01) and overall complications. Patients screened as being malnourished by nutritional specialists presented less overall complications compared to the not malnourished (OR=0.47; 95% CI: 0.22-0.97, p=0.043). Severe postoperative complications occurred more often in patients with low lean body mass (OR=1.06; 95% CI: 1-1.12, p=0.028). Few (≤3) active co-morbidities (OR=8.8; 95% CI: 1.12-68.99, p=0.008) were related with postoperative infections. Patients screened as being malnourished by nutritional specialists presented less infectious complications (OR=0.28; 95% CI: 0.1-0.78), p=0.014) as compared to the not malnourished. Multivariate analysis identified few co-morbidities (OR=6.33; 95% CI: 1.75-22.84, p=0.005), low weight loss (OR=1.08; 95% CI: 1.02-1.14, p=0.006) and low hemoglobin concentration (OR=2.84; 95% CI: 1.22-6.59, p=0.021) as independent risk factors for overall postoperative complications. Compliance with nutritional supplements (OR=0.37; 95% CI: 0.14-0.97, p=0.041) and supplementation of malnourished patients as assessed by nutritional specialists (OR=0.24; 95% CI: 0.08-0.69, p=0.009) were independently associated with decreased infectious complications. Conclusions: Nutritional support based upon NRS-2002 screening might result in overnutrition, with potentially deleterious clinical consequences. We emphasize the importance of detailed assessment of the nutritional status by a dedicated specialist before deciding on early nutritional intervention for patients with an initial NRS-2002 score of ≥3. [ABSTRACT FROM AUTHOR]

Recent data has suggested that excessive perioperative weight gain may be associated with adverse outcomes after abdominal surgery, but this observation remains unexplored following liver surgery. The present study aimed to investigate the predictive value of perioperative weight fluctuation in predicting complications after liver surgery. Retrospective monocentric analysis of consecutive patients undergoing liver surgery between 2010 and 2016. Patients without available perioperative weight were excluded. Test variable was postoperative weight change (ΔWeight) measured on day 2 (POD2). Primary outcome was postoperative major morbidity according to Clavien classification (grades III–IV). Secondary outcomes were overall complications, Comprehensive Complication Index (CCI) and length of hospital stay (LoS). Area under the receiver operating characteristic curve (AUROC) and logistic regression with multivariable analysis were performed. A total of 181 patients met the inclusion criteria. Major and overall postoperative complications were reported in 25 (14%) and 87 (48%) patients, respectively. On POD2, median ΔWeight was 2.6 Kg (IQR: 1.1–4.0). Patients with major complications showed increased ΔWeight of 4.2 Kg (IQR: 2.7–5.7), compared to 2.3 Kg (IQR: 0.9–3.7) in patients without major complications (p < 0.001). AUROC of ΔWeight for major complications was 0.74, determining an optimal cut-off of 3.5 Kg, which yielded a negative predictive value of 94%. Multivariable analysis identified ΔWeight ≥3.5 Kg as independent predictor of major complications (OR, 4.73; 95% CI, 1.51–14.80; p = 0.008). ΔWeight ≥3.5 Kg was independently associated with major complications after liver surgery. Perioperative fluctuation of weight appears as an important predictor of adverse outcomes after liver surgery. [ABSTRACT FROM AUTHOR]