Differential Perioperative Outcomes in Patients With Obstructive Sleep Apnea, Obesity, or a Combination of Both Undergoing Open Colectomy: A Population-Based Observational Study

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.

Effect of multi-level upper airway surgery on obese patients with obstructive sleep apnea

PURPOSE

Obesity is a major risk factor in Obstructive sleep apnea (OSA), which is a prevalent disease that leads to significant morbidity. Multi-level Sleep Surgery (MLS) is a method of treatment for patients who cannot tolerate continuous positive airway pressure. Obesity has previously been identified as a risk factor that may decrease the success rate of MLS. The purpose of our study is to assess the success rates of MLS in obese patients.

METHODS

A retrospective cohort study in 109 adults that underwent MLS in our institution. All the participants completed pre-operative and post-operative level 1 polysomnography. They were divided into four groups as per their body mass index (BMI): Normal (BMI < 25), overweight (25-30), obese (30-35), morbid obese (> 35) and the variables were compared. We measured the surgical success as defined by Sher Criteria (AHI drop > 50% from preoperative baseline and AHI < 20) and cure rates (AHI < 5).

RESULTS

The average BMI was 30.9 pre-op and 30.4 post-op. The mean AHI was 29.8 pre-op and decreased to 10.1 (p < 0.001) and the Epworth Sleepiness Scale from 12.9 to 4.8 (p < 0.001). There were 13, 31, 43, and 22 patients in normal, overweight, obese and morbidly obese groups, respectively. The surgical success rate as defined by Sher's criteria was 84%, 84%, 72%, and 77% in the respective groups, with no statistical difference (p = 0.662). Moreover, the cure rate was 77%, 45%, 44%, and 45%, with no statistical difference (p = 0.192). The AHI reduction was 9.93, 19.73, 21.1 and 22.8 in the respective groups. A linear regression analysis revealed no significant difference in assessing the surgical success and cure rates as BMI increases.

CONCLUSION

Data regarding MLS success rates on obese patients is scarce. The current study demonstrates that MLS can offer positive outcomes for this population. However, further studies are warranted to investigate this relationship.

LEVEL OF EVIDENCE: 3

Sleep-disordered Breathing and Inpatient Outcomes in Nonsurgical Patients: Analysis of the Nationwide Inpatient Cohort

Rationale: Sleep-disordered breathing (SDB) is associated with increased complications and length of stay (LOS) after surgery. SDB-related adverse consequences for nonsurgical admissions are not well defined. Objectives: Evaluate associations between SDB and subtypes and LOS, cost, and mortality in nonsurgical patients. Methods: This retrospective cohort analysis used adult nonsurgical admissions from the 2017 National Inpatient Sample of the Healthcare Costs and Utilization Project. SDB associations with LOS (primary outcome), costs, and mortality were evaluated via logistic regression. Covariates included age, sex, Elixhauser Comorbidity Index, socioeconomic status, hospital type, and insurance type. Results: The cohort included 6,046,544 hospitalizations. Compared with those without SDB, patients with SDB were older (63.6 ± 13.5 vs. 57.4 ± 20.7 yr), higher proportion male (55.8% vs. 40.9%), and more likely to be White (75.7% vs. 66.5%). SDB was associated with increased odds of increased LOS and hospitalization costs (odds ratio [OR], 1.17; 95% confidence interval [CI], 1.16-1.17 and OR, 1.67; 95% CI, 1.66-1.67 in adjusted analyses, respectively) but lower mortality (OR, 0.79; 95% CI, 0.77-0.81). The results for obstructive sleep apnea (OSA) echoed those for SDB. Obesity hypoventilation syndrome had substantially increased LOS (OR, 3.05; 95% CI, 2.98-3.13), mortality (1.76; 95% CI, 1.66-1.86), and costs (OR, 2.67; 95% CI, 2.60-2.73) even after adjustment. Conclusions: Obesity hypoventilation syndrome is associated with higher LOS, mortality, and costs during hospitalization, whereas OSA, despite higher LOS and costs, is associated with decreased mortality. Investigation is warranted on whether paradoxically higher costs but lower mortality in OSA may be indicative of less vigilance in hospitalized patients with undiagnosed SDB.

Obesity and outcomes in patients undergoing upper airway surgery for obstructive sleep apnea

Objective

Obesity is frequently debated as a factor associated with increased postoperative complications. Specifically, upper airway surgeries for obstructive sleep apnea (OSA), a common comorbidity among obese patients, may be complicated by obesity’s impact on intraoperative ventilation. The aim of this retrospective study was to analyze the association of various degrees of obesity with postoperative outcomes in patients undergoing surgery for OSA.

Methods

The American College of Surgeons National Surgical Quality Improvement database between 2015 and 2019 was used to create a sample of patients diagnosed with OSA who underwent uvulopalatopharyngoplasty, tracheotomy, and surgeries at the base of tongue, maxilla, palate, or nose/turbinate. Inverse probability-weighted logistic regression and unadjusted multivariable logistic regression were used to compare outcomes of non-obese and obesity class 1, class 2, and class 3 groups (World Health Organization classification). Primary outcome was a composite of 30-day readmissions, reoperations, and/or postoperative complications, and a secondary outcome was all-cause same-day hospital admission.

Results

There were 1929 airway surgeries identified. The inverse probability-weighted regression comparing class 1, class 2, and class 3 obesity groups to non-obese patients showed no association between obesity and composite outcome and no association between obesity and hospital admission (all p-values > 0.05).

Conclusion

These results do not provide evidence that obesity is associated with poorer outcomes or hospital admission surrounding upper airway surgery for OSA. While these data points towards the safety of upper airway surgery in obese patients with OSA, larger prospective studies will aid in elucidating the impact of obesity.

An Overview of Commonly Used Data Sources in Observational Research in Anesthesia

Anesthesia research using existing databases has drastically expanded over the last decade. The most commonly used data sources in multi-institutional observational research are administrative databases and clinical registries. These databases are powerful tools to address research questions that are difficult to answer with smaller samples or single-institution information. Given that observational database research has established itself as valuable field in anesthesiology, we systematically reviewed publications in 3 high-impact North American anesthesia journals in the past 5 years with the goal to characterize its scope. We identified a wide range of data sources used for anesthesia-related research. Research topics ranged widely spanning questions regarding optimal anesthesia type and analgesic protocols to outcomes and cost of care both on a national and a local level. Researchers should choose their data sources based on various factors such as the population encompassed by the database, ability of the data to adequately address the research question, budget, acceptable limitations, available data analytics resources, and pipeline of follow-up studies.