Incidence, Indications, and Predictive Factors for ICU Admission in Elderly, High-Risk Patients Undergoing Laparoscopic Sleeve Gastrectomy

Planning intensive care unit admission after elective major abdominal surgery: good clinical practice document by SIAARTI-SIC-ANIARTI

Postoperative complications (PCs) are a major cause of mortality following elective major abdominal surgery (EMAS). The increasing complexity of abdominal procedures, particularly in oncology, may significantly affect patient outcomes. However, this has also introduced a higher variability in postoperative management, and the use of tailored approaches to address critical issues such as hemodynamic stabilization, infection management, and respiratory failure. While elective admission to intensive care units (ICU) is a standard practice to manage high-risk surgical patients, ICU resource allocation is often influenced by local practices and bed availability.This document presents a framework for preoperative ICU admission planning after EMAS. It focuses on the identification of patient and surgical risk factors-using established scoring systems-and provides statements to determine ICU admission. The aim is to optimize resource allocation, reduce PCs, and prevent unplanned ICU admissions. This good clinical practice statement was developed through a multidisciplinary panel formed by selected members coming from SIAARTI (Italian Society of Anesthesia Analgesia Resuscitation and Intensive Care), SIC (Italian Society of Surgery) and ANIARTI (National Association of Critical Area Nurses).The designed scientific board developed, through a systematic literature review and a consensus methodology, a roadmap for defining the priorities of perioperative care based on the complexity of the patient and the surgical procedure. Eventually, the panel worked out statements about six voted queries that could have supported the preoperative indication to postoperative ICU admission.Evaluation of patients' characteristics, comorbidities, and surgical factors are all essential to plan ICU admission for immediate postoperative patient care after EMAS.The presence and severity of comorbidities, assessed through various severity scores, play a crucial role in predicting PCs and guiding ICU admission decisions. Tools such as the American Society of Anesthesiologists physical status, Charlson Comorbidity Index, and Rockwood Frailty Index, along with surgical risk scores and intraoperative events, help define the need for intensive care. Preoperative frailty assessment-achieved using the Clinical Frailty Scale-is essential to anticipate postoperative care needs. Finally, during the postoperative phase, continuous monitoring and reassessment in the post-anesthesia care unit are key to determine whether ICU admission is required. Establishing high-dependency units and tailored care pathways based on individual patient needs and available resources will enhance patient outcomes and optimize postoperative care.

Obesity Surgery Mortality Risk Score as a Predictor for Intensive Care Unit Admission in Patients Undergoing Laparoscopic Bariatric Surgery

Background: Laparoscopic bariatric surgery provides many benefits including lower postoperative pain scores, reduced opioid consumption, shorter hospital stays, and improved quality of recovery. However, the anaesthetic management of obese patients requires caution in determining postoperative risk and in planning adequate postoperative pathways. Currently, there are no specific indications for intensive care unit (ICU) admission in this surgical population and most decisions are made on a case-by-case basis. The aim of this study is to investigate whether Obesity Surgery Mortality Risk Score (OS-MRS) is able to predict ICU admission in patients undergoing laparoscopic bariatric surgery (LBS). Methods: We retrospectively reviewed data of patients who underwent LBS during a 2-year period (2017-2019). The collected data included demographics, comorbidities and surgery-related variables. Postoperative ICU admission was decided via bariatric anaesthesiologists' evaluations, based on the high risk of postoperative cardiac or respiratory complications. Anaesthesia protocol was standardized. Logistic regression was used for statistical analysis. Results: ICU admission was required in 2% (n = 15) of the 763 patients. The intermediate risk group of the OS-MRS was detected in 84% of patients, while the American Society of Anaesthesiologists class III was reported in 80% of patients. A greater OS-MRS (p = 0.01), advanced age (p = 0.04), male gender (p = 0.001), longer duration of surgery (p = 0.0001), increased number of patient comorbidities (p = 0.002), and previous abdominal surgeries (p = 0.003) were predictive factors for ICU admission. Conclusions: ICU admission in obese patients undergoing LBS is predicted by OS-MRS together with age, male gender, number of comorbidities, previous abdominal surgeries, and duration of surgery.

Evaluating body mass index's impact on Da Vinci Robotic rectal cancer surgery, a retrospective study

Robotic surgery addresses laparoscopic shortcomings and yields comparable results for low and high body mass index (BMI) patients. However, the impact of BMI on postoperative complications in robotic colorectal surgery remains debated. This study assessed the implications of BMI on short outcomes and postoperative complications, highlighting its unique role in the outcomes. Retrospective analysis of 119 patients who underwent robotic-assisted surgery for rectal cancer (January 2022 to March 2023). Patients grouped by BMI: normal weight (BMI < 23.9 kg/m2), overweight (BMI ≥ 23.9 kg/m2 and BMI < 27.9 kg/m2), and obese (BMI ≥ 27.9 kg/m2). Investigated BMI's impact on surgical outcomes and postoperative complications. Statistically significant differences (P < 0.05) in Clavien-Dindo, ASA scores. The obese group had a longer time to flatus (P = 0.002) and a higher re-operation rate than other groups (P = 0.01). The overweight group had a higher anastomotic fistula rate than the obese group. Overall complications showed no significant differences among BMI cohorts (P = 0.0295). There were no significant differences in TNM stages and comorbidities. BMI had no significant impact on overall postoperative complications in robotic surgery for rectal cancer. However, higher BMI correlated with a longer time to flatus and increased re-operation rate.

The level of postoperative care influences mortality prediction by the POSPOM score: A retrospective cohort analysis

BACKGROUND

The Preoperative Score to Predict Postoperative Mortality (POSPOM) assesses the patients' individual risk for postsurgical intrahospital death based on preoperative parameters. We hypothesized that mortality predicted by the POSPOM varies depending on the level of postoperative care.

METHODS

All patients age over 18 years undergoing inpatient surgery or interventions involving anesthesia at a German university hospital between January 2006, and December 2017, were assessed for eligibility for this retrospective study. Endpoint was death in hospital following surgery. Adaptation of the POSPOM to the German coding system was performed as previously described. The whole cohort was divided according to the level of postoperative care (normal ward vs. intensive care unit (ICU) admission within 24 h vs. later than 24 h, respectively).

RESULTS

199,258 patients were finally included. Observed intrahospital mortality was 2.0% (4,053 deaths). 9.6% of patients were transferred to ICU following surgery, and mortality of those patients was increased already at low POSPOM values of 15. 17,165 patients were admitted to ICU within 24 h, and these patients were older, had more comorbidities, or underwent more invasive surgery, reflected by a higher median POSPOM score compared to the normal-ward group (29 vs. 17, p <0.001). Mortality in that cohort was significantly increased to 8.7% (p <0.001). 2,043 patients were admitted to ICU later than 24 h following surgery (therefore denoted unscheduled admission), and the median POSPOM value of that group was 23. Observed mortality in this cohort was highest (13.5%, p <0.001 vs. ICU admission <24 h cohort).

CONCLUSION

Increased mortality in patients transferred to high-care wards reflects the significance of, e.g., intra- or early postoperative events for the patients' outcome. Therefore, scoring systems considering only preoperative variables such as the POSPOM reveal limitations to predict the individual benefit of postoperative ICU admission.

Development of the "OS-SEV90 Score" to Predict Severe Postoperative Complications at 90 Days Following Bariatric Surgery

BACKGROUND

Bariatric surgery may be associated with severe postoperative complications (SPC). Factors associated with the risk of SPC have not been fully investigated.

OBJECTIVES

This study aimed to identify preoperative risk factors of SPC within 90 days and to develop a risk prediction model based on these factors.

METHODS

We conducted a retrospective single-center cohort study based on a prospectively maintained database of obese patients undergoing laparoscopic bariatric surgery from October 2005 to May 2019. All SPC occurring up to the 90th postoperative day were recorded according to the Dindo-Clavien classification. Associations between potential risk factors and SPC were analyzed using a logistic regression model, and the risk prediction ("OS-SEV90 score") was computed. Based on the OS-SEV90 score, the patients were grouped into 3 categories of risk: low, intermediate, and high.

RESULTS

Among 1963 consecutive patients, no patient died and 82 (4.2%) experienced SPC within 90 days. History of gastric or esophageal surgery (adjusted odds ratio (aOR) 3.040, 95% confidence interval; CI 1.78-5.20, p< 0.0001), past of thromboembolic event aOR 2.26, 95%; CI 1.12-4.55, p = 0.0225), and surgery performed by a junior surgeon (aOR 1.99, 95%; CI 1.26-3.13, p = 0.003) were all independently associated with risk for SPC, adjusting for ASA physical status system (ASA) score ≥ 3, severe OSA, psychiatric disease, asthma, a history of abdominal surgery, alcohol, cardiac disease, and dyslipidemia. "the OS-SEV90 score" based on these factors was constructed to classify patients into 3 risk groups: low (≤2), intermediate (3-4), and high (≥5). According to "the OS-SEV90 score," SPC increased significantly from 2.9% in the low-risk group, 7.7% in the intermediate-risk group, and 23.3% in the high-risk group.

CONCLUSIONS

A predictive model of SPC within 90 days "the OS-SEV90 score" has been developed using 9 baseline risk factors. The use of the OS-SEV90 score may help the multidisciplinary team to identify the specific risk of each patient and inform them about and optimize the comorbidities before the surgery. Further studies are warranted to validate this score in a new independent cohort before using it in clinical practice.

The Edmonton Obesity Staging System Predicts Perioperative Complications and Procedure Choice in Obesity and Metabolic Surgery-a German Nationwide Register-Based Cohort Study (StuDoQ|MBE)

OBJECTIVE

To examine the relationship between Edmonton Obesity Staging System (EOSS) and perioperative complications as well as surgical procedure.

BACKGROUND

The application of EOSS for the selection of patients with obesity is a more comprehensive measure of obesity-related diseases and a predictor of mortality than body mass index (BMI).

METHODS

This was a nationwide cohort study using prospectively inserted data from the German register for obesity and metabolic surgery StuDoQ|MBE. All patients undergoing sleeve gastrectomy (SG), Roux-en Y gastric bypass (RYGB), and one-anastomosis gastric bypass (OAGB) between February 2015 and July 2017 as a primary treatment for severe obesity were included. Data included gender, age, BMI, ASA score, EOSS, early postoperative complications next to the Clavien-Dindo grading system, readmission, and 30-day mortality.

RESULTS

A total of 9437 patients were included. The mean BMI was 49.5 kg/m² ± 7.8 (range 35-103.5). The total postoperative complication rate was 5.3%, with the highest rate in EOSS 3 (7.8%) and 4 (6.8%). Thirty-day mortality was 0.2% with the highest mortality after SG in EOSS 3 (1.16%) and EOSS 4 (0.92%) (p = 0.0068). Crosstabs showed a prevalence of Clavien-Dindo III and IV complications of 3.4% (SG), 3.6% (RYGB), and 1.6% (OAGB) in EOSS 2 (p = 0.0032) and 3.5% (SG), 5.1% (RYGB), and 5.6% (OAGB) in EOSS 3.

CONCLUSION

The highest postoperative complications and mortality occurred in patients with EOSS ≥ 3. SG and OAGB could be the procedure of choice to reduce perioperative morbidity; nevertheless, it has to be in mind that in EOSS ≥ 3, SG has the highest mortality.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier NCT03556059.