Characteristics Associated with Prolonged Length of Stay after Myomectomy for Uterine Myomas

Immediate versus delayed urinary catheter removal following non-hysterectomy benign gynaecological laparoscopy: a randomised trial

OBJECTIVE

To compare rates of urinary retention and postoperative urinary tract infection between women with immediate versus women with delayed removal of indwelling catheter following benign non-hysterectomy gynaecological laparoscopic surgery.

DESIGN

This randomised clinical trial was conducted between February 2012 and December 2019, with follow-up to 6 weeks.

SETTING

Two university-affiliated teaching hospitals in Sydney, Australia.

POPULATION

Study participants were 693 women aged 18 years or over, undergoing non-hysterectomy laparoscopy for benign gynaecological conditions, excluding pelvic floor or concomitant bowel surgery.

METHODS

Three hundred and fifty-five participants were randomised to immediate removal of urinary catheter and 338 participants were randomised to delayed removal of urinary catheter.

MAIN OUTCOME MEASURES

The co-primary outcomes were urinary retention and urinary tract infection. Secondary outcomes included hospital readmission, analgesia requirements, duration of hospitalisation and validated bladder function questionnaires.

RESULTS

Urinary retention was higher after immediate compared with delayed removal of the urinary catheter (8.2% vs 4.2%, RR 1.8, 95% CI 1.0-3.0, p = 0.04). Although urinary tract infection was 7.2% following delayed removal of the urinary catheter and 4.7% following immediate removal of the urinary catheter, the difference was not statistically significant (RR 0.7, 95% CI 0.3-1.2, p = 0.2).

CONCLUSIONS

There is an increased risk of urinary retention with the immediate compared with the delayed removal of the urinary catheter following benign non-hysterectomy gynaecological laparoscopic surgery. The difference in urinary tract infection was not significant. There is 1/12 risk of re-catheterisation after immediate urinary catheter removal. It is important to ensure that patients report normal voiding and emptying prior to discharge, to reduce the need for readmission for the management of urinary retention.

Development and validation of a multivariable preoperative prediction model for postoperative length of stay in a broad inpatient surgical population

BACKGROUND

Postoperative length of stay is a meaningful patient-centered outcome and an important determinant of healthcare costs. The Surgical Risk Preoperative Assessment System preoperatively predicts 12 postoperative adverse events using 8 preoperative variables, but its ability to predict postoperative length of stay has not been assessed. We aimed to determine whether the Surgical Risk Preoperative Assessment System variables could accurately predict postoperative length of stay up to 30 days in a broad inpatient surgical population.

METHODS

This was a retrospective analysis of the American College of Surgeons' National Surgical Quality Improvement Program adult database from 2012 to 2018. A model using the Surgical Risk Preoperative Assessment System variables and a 28-variable "full" model, incorporating all available American College of Surgeons' National Surgical Quality Improvement Program preoperative nonlaboratory variables, were fit to the analytical cohort (2012-2018) using multiple linear regression and compared using model performance metrics. Internal chronological validation of the Surgical Risk Preoperative Assessment System model was conducted using training (2012-2017) and test (2018) datasets.

RESULTS

We analyzed 3,295,028 procedures. The adjusted R2 for the Surgical Risk Preoperative Assessment System model fit to this cohort was 93.3% of that for the full model (0.347 vs 0.372). In the internal chronological validation of the Surgical Risk Preoperative Assessment System model, the adjusted R2 for the test dataset was 97.1% of that for the training dataset (0.3389 vs 0.3489).

CONCLUSION

The parsimonious Surgical Risk Preoperative Assessment System model can preoperatively predict postoperative length of stay up to 30 days for inpatient surgical procedures almost as accurately as a model using all 28 American College of Surgeons' National Surgical Quality Improvement Program preoperative nonlaboratory variables and has shown acceptable internal chronological validation.

Optimization of anesthetic decision-making in ERAS using Bayesian network

Enhanced recovery after surgery (ERAS) can accelerate patient recovery. However, little research has been done on optimizing the ERAS-related measures and how the measures interact with each other. The Bayesian network (BN) is a graphical model that describes the dependencies between variables and is also a model for uncertainty reasoning. In this study, we aimed to develop a method for optimizing anesthetic decisions in ERAS and then investigate the relationship between anesthetic decisions and outcomes. First, assuming that the indicators used were independent, the effects of combinations of single indicators were analyzed based on BN. Additionally, the impact indicators for outcomes were selected with statistical tests. Then, based on the previously selected indicators, the Bayesian network was constructed using the proposed structure learning method based on Strongly Connected Components (SCC) Local Structure determination by Hill Climbing Twice (LSHCT) and adjusted according to the expert’s knowledge. Finally, the relationship is analyzed. The proposed method is validated by the real clinical data of patients with benign gynecological tumors from 3 hospitals in China. Postoperative length of stay (LOS) and total cost (TC) were chosen as the outcomes. Experimental results show that the ERAS protocol has some pivotal indicators influencing LOS and TC. Identifying the relationship between these indicators can help anesthesiologists optimize the ERAS protocol and make individualized decisions.

The role of minimally invasive gynecologic surgeons in the era of subspecialties: when to refer and consult

PURPOSE OF REVIEW

Minimally invasive gynecologic surgery (MIGS) is a subspecialty focus of obstetrics and gynecology with focused expertise on complex benign gynecologic disorders. To date, no formal recommendations have been made in defining a referral system for MIGS. This article reviews the evidence regarding common disorders and procedures and their outcomes, and posits a basis for MIGS referral.

RECENT FINDINGS

In instances where intraoperative and perioperative features may pose clinical challenges to the surgeon and ultimately the patient, the literature suggests the following scenarios may have adverse outcomes, and therefore, benefit from the skills of MIGS subspecialists: fibroids - at least five myomas, myoma size at least 9 cm, and suspected myoma weight at least 500 g; endometriosis - presence of endometrioma(s), suspected stage III/IV endometriosis, and requirement for advanced adjunct procedures; hysterectomy - uteri at least 250 g or 12 weeks estimated size, at least three prior laparotomies, obesity, and complex surgical history with suspected adhesive disease.

SUMMARY

A referral system for MIGS subspecialists has proven benefits for both the gynecologic surgical community as well as the patients and their outcomes. This article provides evidence for collaboration with MIGS especially as it relates to leiomyomatous uteri, endometriosis, and complex hysterectomies.

Laparoscopic Myomectomy: An Alternative Approach to Tackling Submucous Myomas?

STUDY OBJECTIVE

To evaluate the differences in perioperative outcomes and immediate complication rates between laparoscopic myomectomy for submucous myomas and laparoscopic myomectomy for myomas in other locations.

DESIGN

Retrospective cohort study.

SETTING

University-affiliated hospital in London.

PATIENTS

A total of 350 patients with symptomatic uterine myomas underwent laparoscopic myomectomy. Thirty-three of these were performed for submucous myomas (group 1), and 317 were for myomas in other uterine locations (group 2).

INTERVENTIONS

Analysis of prospectively collected data on patient demographics, myoma characteristics, perioperative outcomes, and immediate complications.

MEASUREMENTS AND MAIN RESULTS

Patient demographics, including age, body mass index, and parity, were similar in the 2 groups. No significant differences in myoma characteristics were seen between groups 1 and 2, including the mean dimension of largest myoma (7.1 vs 7.8 cm, respectively; p = .35), mean number of myomas removed (3.8 vs 4.1; p = .665), and mean mass of myomas removed (142.0 g vs 227.3 g; p = .186). There were also no significant between-group differences in any perioperative outcomes, including mean blood loss (226.8 mL vs 266.4 mL; p = .373), duration of surgery (103 minutes vs 113 minutes; p = .264), and duration of hospital stay (1.4 days vs 1.7 days; p = .057). No complications arose from laparoscopic resection of submucous myomas.

CONCLUSION

Laparoscopic myomectomy for submucous myomas has similar perioperative outcomes and immediate complications as laparoscopic myomectomy for other myomas and can be considered for large or type 2 submucous myomas.