Variables impacting prolonged post-anesthesia care unit length of stay in gynecologic cancer patients in the era of same day minimally invasive hysterectomy.

OBJECTIVES: Minimally invasive surgery for treatment of gynecologic malignancies is associated with decreased pain, fewer complications, earlier return to activity, lower cost, and shorter hospital stays. Patients are often discharged the day of surgery, but occasionally stay overnight due to prolonged post-anesthesia care unit (PACU) stays. The objective of this study was to identify risk factors for prolonged PACU length of stay (LOS). METHODS: This is a single institution retrospective review of patients who underwent minimally invasive hysterectomy for gynecologic cancer from 2019 to 2022 and had a hospital stay <24-h. The primary outcome was PACU LOS. Demographics, pre-operative diagnoses, and surgical characteristics were recorded. After Box-Cox transformation, linear regression was used to determine significant predictors of PACU LOS. RESULTS: For the 661 patients identified, median PACU LOS was 5.04 h (range 2.16-23.76 h). On univariate analysis, longer PACU LOS was associated with increased age (ρ = 0.106, p = 0.006), non-partnered status [mean difference (MD) = 0.019, p = 0.099], increased alcohol use (MD = 0.018, p = 0.102), increased Charlson Comorbidity Index (CCI) score (ρ = 0.065, p = 0.097), and ASA class ≥3 (MD = 0.033, p = 0.002). Using multivariate linear regression, increased age (R2 = 0.0011, p = 0.043), non-partnered status (R2 = 0.0389, p < 0.001), and ASA class ≥3 (R2 = 0.0250, p = 0.023) were associated with increased PACU LOS. CONCLUSIONS: Identifying patients at risk for prolonged PACU LOS, including patients who are older, non-partnered, and have an ASA class ≥3, may allow for interventions to improve patient experience, better utilize hospital resources, decrease PACU overcrowding, and limit postoperative admissions and complications. The relationship between non-partnered status and PACU LOS is the most novel relationship identified in this study.

Predictors of Post-Operative Hospital Length of Stay Following Complete Repair of Tetralogy of Fallot in a Pediatric Cohort in the North of England.

We sought to estimate the median post-operative length of stay (PLOS) and predictors of PLOS following tetralogy of Fallot (ToF) repair at a specialist surgical center in the North of England. The local National Congenital Heart Disease Audit dataset was used to identify patients aged < 2 years who underwent surgical repair for ToF between 1 January 1986 and 13 May 2022. Coefficients representing the median change in PLOS (days) according to predictors were estimated using Quantile regression. There were 224 patients (59.4% male, median age = 9 months, interquartile range (IQR) 5-13 months) with a median PLOS of 9 days (IQR 7-13). In the univariable regression, age (months) and weight (kg) at operation (ß = - 0.17, 95% CI: - 0.33, - 0.01) and (ß = - 0.53, 95% CI: - 0.97, - 0.10), previous (cardiac or thoracic) procedure (ß = 5, 95% CI:2.38, 7.62), procedure urgency (elective vs urgent) (ß = 2.8, 95% CI:0.39, 5.21), bypass time (mins) (ß = 0.03, 95% CI:0.01, 0.05), cross-clamp time (mins) (ß = 0.03, 95% CI:0.01, 0.06) and duration of post-operative intubation (days) (ß = 0.81, 95% CI:0.67, 0.96), were significantly associated with PLOS. Previous procedure and intubation time remained significant in multivariable analyses. Some patient and operative factors can predict PLOS following complete ToF repair. Information on PLOS is important for health professionals to support parents in preparing for their child's discharge and to make any necessary practical arrangements. Health commissioners can draw on evidence-based guidance for resource planning. The small sample size may have reduced the power to detect small effect sizes, but this regional study serves as a foundation for a larger national study.

Risk factors associated with delayed discharge following robotic assisted surgery for gynecologic malignancy.

BACKGROUND: The risk factors for extended length of stay (LOS) have not been examined in a cohort of patients with complex social and medical barriers who undergo robotic assisted (RA) surgery for gynecologic malignancies. We sought to identify those patients with a LOS > 24 h after robotic surgery and the risk factors associated with delayed discharge. Then we aimed to develop a predictive model for clinical care and identify modifiable pre-operative risk factors. METHODS: After IRB approval, data was abstracted from medical records of all patients with a gynecologic malignancy who underwent a RA laparoscopic surgery from 2010 to 2015. Univariable and multivariable logistic regression was performed to identify independent risk factors associated with delayed discharge defined as LOS > 24 h. A multi-variable logistic regression model was performed using a stepwise backward selection for the final prediction model. All testing was two-sided and a p-value < 0.05 was considered statistically significant. RESULTS: Of the 406 eligible and evaluable patients, 194 (48%) had a LOS > 24 h. Age ≥ 60 years, a higher usage of narcotic medication, a longer surgical time, and a larger estimated blood loss were all associated with LOS > 24 h (p < 0.05). Many of these women had a social work consultation and went home with home care services despite no surgical or post-operative complications. Our prediction model has the potential to correctly classified 75% of the patients discharged within 24 h. CONCLUSIONS: The development of a pre-hospitalization risk stratification and anticipating the possible need for home care services pre-operatively shows promise as a strategy to decrease LOS in patients classified as high-risk. These findings warrant prospective validation through the use of this prediction model in our institution.

Lean Six Sigma Approach to Improve the Management of Patients Undergoing Laparoscopic Cholecystectomy.

Laparoscopic cholecystectomy (LC) is the gold standard technique for gallbladder diseases in both emergency and elective surgery. The incidence of the disease related to an increasingly elderly population coupled with the efficacy and safety of LC treatment resulted in an increase in the frequency of interventions without an increase in surgical mortality. For these reasons, managers implement strategies by which to standardize the process of patients undergoing LC. Specifically, the goal is to ensure, in accordance with the guidelines of the Italian Ministry of Health, a reduction in post-operative length of stay (LOS). In this study, a Lean Six Sigma (LSS) methodological approach was implemented to identify and subsequently investigate, through statistical analysis, the effect that corrective actions have had on the post-operative hospitalization for LC interventions performed in a University Hospital. The analysis of the process, which involved a sample of 478 patients, with an approach guided by the Define, Measure, Analyze, Improve, and Control (DMAIC) cycle, made it possible to reduce the post-operative LOS from an average of 6.67 to 4.44 days. The most significant reduction was obtained for the 60-69 age group, for whom the probability of using LC is higher than for younger people. The LSS offers a methodological rigor that has allowed us, as already known, to make significant improvements to the process, standardizing the result by limiting the variability and obtaining a total reduction of post-operative LOS of 67%.