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1.
Int Urogynecol J ; 35(5): 1035-1043, 2024 May.
Article in English | MEDLINE | ID: mdl-38625604

ABSTRACT

INTRODUCTION AND HYPOTHESIS: The objective was to develop a prediction model for urinary tract infection (UTI) after pelvic surgery. METHODS: We utilized data from three tertiary care centers of women undergoing pelvic surgery. The primary outcome was a UTI within 8 weeks of surgery. Additional variables collected included procedural data, severity of prolapse, use of mesh, anti-incontinence surgery, EBL, diabetes, steroid use, estrogen use, postoperative catheter use, PVR, history of recurrent UTI, operative time, comorbidities, and postoperative morbidity including venous thromboembolism, surgical site infection. Two datasets were used for internal validation, whereas a third dataset was used for external validation. Algorithms that tested included the following: multivariable logistic regression, decision trees (DTs), naive Bayes (NB), random forest (RF), gradient boosting (GB), and multilayer perceptron (MP). RESULTS: For the training dataset, containing both University of British Columbia and Mayo Clinic Rochester data, there were 1,657 patients, with 172 (10.4%) UTIs; whereas for the University of Calgary external validation data, there were a total of 392 patients with a UTI rate of 16.1% (n = 63). All models performed well; however, the GB, DT, and RF models all had an area under the curve (AUC) > 0.97. With external validation the model retained high discriminatory ability, DT: AUC = 0.88, RF: AUC = 0.88, and GB: AUC = 0.90. CONCLUSIONS: A model with high discriminatory ability can predict UTI within 8 weeks of pelvic surgery. Future studies should focus on prospective validation and application of randomized trial models to test the utility of this model in the prevention of postoperative UTI.


Subject(s)
Gynecologic Surgical Procedures , Postoperative Complications , Urinary Tract Infections , Humans , Female , Urinary Tract Infections/epidemiology , Urinary Tract Infections/etiology , Middle Aged , Gynecologic Surgical Procedures/adverse effects , Aged , Postoperative Complications/epidemiology , Postoperative Complications/etiology , Adult , Bayes Theorem , Algorithms , Logistic Models
2.
J Obstet Gynaecol Can ; 46(6): 102431, 2024 Mar 04.
Article in English | MEDLINE | ID: mdl-38447666

ABSTRACT

OBJECTIVES: Combatting fatigue is an ongoing challenge in surgical residency programs impacting both patient care and resident well-being. There is a gap in understanding the nuances of fatigue perpetuation, especially where it relates to specific on-call duties. This pilot study seeks to explore the extent of sleep deprivation among Obstetrics and Gynecology (OBGYN) residents and identify obstacles to obtaining adequate rest. METHODS: A survey was sent out to all OBGYN residents at the University of Alberta, collecting demographic and baseline sleep information and assessing perceived barriers to sleep. Residents then self-selected for participation in the second portion which involved recording all pages in a 12-hour shift and assigning an acuity rating to them. Mixed methods were used including thematic analysis of the page acuity survey and descriptive statistics for the primary survey. RESULTS: In total, 21 residents completed the initial survey (67.7%) and 17 12-hour shifts were recorded. While junior residents (postgraduate year 1-2) and those carrying the low-risk pager slept less on call and had less sleep on days without call, barriers to sleep were not different when compared to senior residents and those carrying the high-risk pager. While low-risk and high-risk shifts had different primary contributors to fatigue (volume and acuity, respectively) both groups attributed fatigue to non-urgent pages. On review of pages, 49.4% were perceived as non-urgent. A total of 81% of residents supported the development of problem boards to reduce the number of non-urgent pages. CONCLUSIONS: This pilot study demonstrated residents, regardless of seniority or shift, found non-urgent pages to be a significant contributor to on-call fatigue and supported the use of problem boards to reduce pages. Our approach can provide a framework for other institutions to learn more about resident fatigue and non-urgent paging in their program.

3.
J Obstet Gynaecol Can ; 44(12): 1289-1292, 2022 12.
Article in English | MEDLINE | ID: mdl-36375804

ABSTRACT

Spinal tuberculosis (TB) is a rare form of extrapulmonary TB that can be clinically difficult to diagnose, particularly in pregnancy. This 24-year-old G2, P0 patient was diagnosed at 19 weeks gestation, 2 days after a protracted admission for hyperemesis gravidarum, COVID-19 infection, and unexplained transaminitis with bilateral lower limb weakness and urinary retention. She underwent emergent spinal decompression surgery with expectant management on intravenous antitubercular medication and cesarean delivery at 343 weeks gestation. Spinal tuberculosis is a difficult diagnosis, impacted by medical comorbidities, pregnancy, and diagnostic bias. This case describes successful antenatal management of spinal tuberculosis and highlights the importance of interdisciplinary care.


Subject(s)
COVID-19 , Hyperemesis Gravidarum , Tuberculosis, Spinal , Pregnancy , Female , Humans , Young Adult , Adult , Tuberculosis, Spinal/diagnostic imaging , Tuberculosis, Spinal/therapy
4.
J Obstet Gynaecol Can ; 40(1): 24-28, 2018 01.
Article in English | MEDLINE | ID: mdl-28864172

ABSTRACT

OBJECTIVE: Studies from disciplines outside gynaecology have found that most patients do not understand the clinical responsibilities allocated to physicians-in-training. No research on this topic has been published in gynaecology, despite litigation against gynaecological surgeons regarding the role of residents in surgery. The goal of this research was to explore what gynaecological surgery patients understand about the role of resident doctors. METHODS: A questionnaire was distributed to female patients in gynaecological surgery pre-admission clinics in Edmonton, Alberta. Surveys included knowledge and opinion statements about residents' duties. Anonymous responses were entered into a secure database. Descriptive statistics were used to characterize the results. RESULTS: Of 108 participants, 83% understood that residents had a higher level of training than medical students, yet 40% were unsure whether residents were doctors. Almost one half (43%) of participants were uncertain whether residents required supervision, including while operating (20%). Most (92%) believed it was important to know their physician's level of training, yet only 63% reported knowing this information. Only 50% of participants would be comfortable with residents operating on them under supervision. A considerable number (56%) wanted to learn more about residents' roles. CONCLUSION: Patients do not fully understand the role of residents, and many are uncomfortable with trainees operating on them under supervision. Considering the significant role of residents in patient care, educating patients is essential to improve their comfort and the overall consent process.


Subject(s)
Gynecology , Health Knowledge, Attitudes, Practice , Internship and Residency , Adult , Aged , Aged, 80 and over , Cross-Sectional Studies , Female , Humans , Middle Aged , Surveys and Questionnaires , Young Adult
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