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Abstract Background Delayed gastric emptying (DGE) commonly occurs after pancreaticoduodenectomy (PD). Risk factors for DGE have been reported in open PD but are rarely reported in laparoscopic PD (LPD). This study was designed to evaluate the perioperative risk factors for DGE and secondary DGE after LPD in a single center. Methods This retrospective cohort study included patients who underwent LPD between October 2014 and April 2023. Demographic data, preoperative, intraoperative, and postoperative data were collected. The risk factors for DGE and secondary DGE were analyzed. Results A total of 827 consecutive patients underwent LPD. One hundred and forty-two patients (17.2%) developed DGE of any type. Sixty-five patients (7.9%) had type A, 62 (7.5%) had type B, and the remaining 15 (1.8%) had type C DGE. Preoperative biliary drainage (p = 0.032), blood loss (p = 0.014), and 90-day any major complication with Dindo-Clavien score ≥ III (p

Background: Delayed gastric emptying (DGE) commonly occurs after pancreaticoduodenectomy (PD). Risk factors for DGE have been reported in open PD but are rarely reported in laparoscopic PD (LPD). This study was designed to evaluate the perioperative risk factors for DGE and secondary DGE after LPD in a single center. Methods: This retrospective cohort study included patients who underwent LPD between October 2014 and April 2023. Demographic data, preoperative, intraoperative, and postoperative data were collected. The risk factors for DGE and secondary DGE were analyzed. Results: A total of 827 consecutive patients underwent LPD. One hundred and forty-two patients (17.2%) developed DGE of any type. Sixty-five patients (7.9%) had type A, 62 (7.5%) had type B, and the remaining 15 (1.8%) had type C DGE. Preoperative biliary drainage (p = 0.032), blood loss (p = 0.014), and 90-day any major complication with Dindo-Clavien score ≥ III (p < 0.001) were independent significant risk factors for DGE. Seventy-six (53.5%) patients were diagnosed with primary DGE, whereas 66 (46.5%) patients had DGE secondary to concomitant complications. Higher body mass index, soft pancreatic texture, and perioperative transfusion were independent risk factors for secondary DGE. Hospital stay and drainage tube removal time were significantly longer in the DGE and secondary DGE groups. Conclusion: Identifying patients at an increased risk of DGE and secondary DGE can be used to intervene earlier, avoid potential risk factors, and make more informed clinical decisions to shorten the duration of perioperative management. [ABSTRACT FROM AUTHOR]

Abstract Background Postoperative complications and mortality following laparotomy have remained high worldwide. Early postoperative risk stratification is essential to improve outcomes and clinical care. The surgical Apgar score (SAS) is a simple and objective bedside prediction tool that can guide a surgeon’s postoperative decision making. The objective of this study was to evaluate the performance of SAS in predicting outcomes in patients undergoing laparotomy at Mulago hospital. Method A prospective observational study was conducted among eligible adult patients undergoing laparotomy at Mulago hospital and followed up for 4 months. We collected data on the patient’s preoperative and intraoperative characteristics. Using the data generated, SAS was calculated, and patients were classified into 3 groups namely: low (8–10), medium (5–7), and high (0–4). Primary outcomes were in-hospital major complications and mortality. Data was presented as proportions or mean (standard deviation) or median (interquartile range) as appropriate. We used inferential statistics to determine the association between the SAS and the primary outcomes while the SAS discriminatory ability was determined from the receiver-operating curve (ROC) analysis. Results Of the 151 participants recruited, 103 (68.2%) were male and the mean age was 40.6 ± 15. Overall postoperative in-hospital major complications and mortality rates were 24.2% and 10.6%, respectively. The participants with a high SAS category had an18.4 times risk (95% CI, 1.9–177, p = 0.012) of developing major complications, while those in medium SAS category had 3.9 times risk (95% CI, 1.01–15.26, p = 0.048) of dying. SAS had a fair discriminatory ability for in-hospital major complications and mortality with the area under the curve of 0.75 and 0.77, respectively. The sensitivity and specificity of SAS ≤ 6 for major complications were 60.5% and 81.14% respectively, and for death 54.8% and 81.3%, respectively. Conclusion SAS of ≤ 6 is associated with an increased risk of major complications and/or mortality. SAS has a high specificity with an overall fair discriminatory ability of predicting the risk of developing in-hospital major complications and/or death following laparotomy.

Background: Postoperative complications and mortality following laparotomy have remained high worldwide. Early postoperative risk stratification is essential to improve outcomes and clinical care. The surgical Apgar score (SAS) is a simple and objective bedside prediction tool that can guide a surgeon's postoperative decision making. The objective of this study was to evaluate the performance of SAS in predicting outcomes in patients undergoing laparotomy at Mulago hospital. Method: A prospective observational study was conducted among eligible adult patients undergoing laparotomy at Mulago hospital and followed up for 4 months. We collected data on the patient's preoperative and intraoperative characteristics. Using the data generated, SAS was calculated, and patients were classified into 3 groups namely: low (8–10), medium (5–7), and high (0–4). Primary outcomes were in-hospital major complications and mortality. Data was presented as proportions or mean (standard deviation) or median (interquartile range) as appropriate. We used inferential statistics to determine the association between the SAS and the primary outcomes while the SAS discriminatory ability was determined from the receiver-operating curve (ROC) analysis. Results: Of the 151 participants recruited, 103 (68.2%) were male and the mean age was 40.6 ± 15. Overall postoperative in-hospital major complications and mortality rates were 24.2% and 10.6%, respectively. The participants with a high SAS category had an18.4 times risk (95% CI, 1.9–177, p = 0.012) of developing major complications, while those in medium SAS category had 3.9 times risk (95% CI, 1.01–15.26, p = 0.048) of dying. SAS had a fair discriminatory ability for in-hospital major complications and mortality with the area under the curve of 0.75 and 0.77, respectively. The sensitivity and specificity of SAS ≤ 6 for major complications were 60.5% and 81.14% respectively, and for death 54.8% and 81.3%, respectively. Conclusion: SAS of ≤ 6 is associated with an increased risk of major complications and/or mortality. SAS has a high specificity with an overall fair discriminatory ability of predicting the risk of developing in-hospital major complications and/or death following laparotomy. [ABSTRACT FROM AUTHOR]