ABSTRACT
BACKGROUND: Hypospadias phenotype assessment determines if the anatomy is favorable for reconstruction. Glans-Urethral Meatus-Shaft (GMS) has been adopted in an effort to standardize hypospadias classification. While extremely subjective, GMS has been widely used to classify the severity of the phenotype to predict surgical outcomes. The use of digital image analysis has proven to be feasible and prior efforts by our team have demonstrated that machine learning algorithms can emulate an expert's assessment of the phenotype. Nonetheless, the creation of these image recognition algorithms is highly subjective. In order to reduce a subjective input in the evaluation of the phenotype, we propose a novel approach to analyze the anatomy using digital image pixel analysis and to compare the results using the GMS score. Our hypothesis is that pixel cluster segmentation can discriminate between favorable and unfavorable anatomy. OBJECTIVE: To evaluate whether image segmentation and digital pixel analysis are able to analyze favorable vs unfavorable hypospadias anatomy in a less subjective manner than GMS score. METHODS: A total of 148 patients with different types of hypospadias were classified by 1 of 5 independent experts following the GMS score into "favorable" (GG), "moderately favorable" (GM) and "unfavorable" (GP) glans. From there, 592 images were generated using digital image segmentation. 584 were included for final analysis due to certain images being excluded for poor image quality or inadequate capture of target anatomy. For each image, the region of interest was segmented separately by two evaluators into "glans," "urethral plate," "foreskin" and "periurethral plate". The values obtained for each segmented region using machine-learning statistical pixel k-means cluster analysis were analyzed and compared to the GMS score given to that image using an ANOVA analysis. RESULTS: Analysis of image segmentation demonstrated that k-means pixel cluster analysis discriminated "favorable" vs "unfavorable" urethral plates. There was a significant difference between scores when comparing the GG and GM groups (p = 0.03) and GG and GP groups (p = 0.05). Pixel cluster analysis could not discriminate between "moderately favorable" and "unfavorable" urethral plates. CONCLUSIONS: Through our analysis, we found significant pairwise difference for different tissue qualities. Digital image segmentation and statistical k-means cluster analysis can discriminate anatomical features in a similar way to the GMS score. Future research can target discerning between different tissue qualities in an effort to predict surgical outcomes for hypospadias repair.
Subject(s)
Hypospadias , Phenotype , Urethra , Hypospadias/surgery , Hypospadias/diagnostic imaging , Humans , Male , Urethra/diagnostic imaging , Urethra/surgery , Penis/surgery , Penis/diagnostic imaging , Penis/abnormalities , Infant , Child, Preschool , Machine Learning , Retrospective Studies , Urologic Surgical Procedures, Male/methods , Image Processing, Computer-Assisted/methodsABSTRACT
Introduction: There is evidence that providers often overprescribe opiates in the postoperative period. Despite an ever-growing geriatric population, there is little research detailing current opiate usage in older patients after trauma. This population presents a unique set of challenges for pain management and prescription drug dependence due to sensitivity, a narrow therapeutic window, and high rates of pre-existing polypharmacy.Objective: Assess the use of narcotics in geriatric trauma patients with various injury patterns to establish a reference point for future intervention for reduction in narcotic dependence.Methods: We created a database of trauma patients' age ≥65 years admitted to a single level 1 trauma center in the Southeastern United States during the 2019 calendar year. Information gathered included patient factors, injury patterns, operative intervention, pain medications prescribed during hospitalization and at discharge, total and average daily morphine milligram equivalents (MME) inpatient and outpatient, and requests/prescriptions for narcotics at follow-up.Results: In 2019, there were 475 patients aged ≥65 admitted to our level 1 trauma center for acute traumatic injuries. 219 of those patients required operative intervention. Average total inpatient MME for this cohort was 169.0 with average daily MME of 22.89. The average total prescribed MME upon discharge was 79.27. There were 29 patients documented to request narcotic prescription refill at time of clinic follow-up, 27 of whom were prescribed a narcotic medication at follow-up.Conclusion: This dataset establishes a reference point for opiate use in geriatric trauma patients to facilitate further research for mitigation of risk in this population.
ABSTRACT
Obesity, especially in those over the age of 65, is associated with multiple comorbidities and decreased quality of life. Bariatric surgery is an effective method of weight loss and management of comorbidities and is increasingly utilized in younger and middle-aged populations. A retrospective review was performed of patients ≥65 years old who underwent bariatric surgery between 2018 and 2021 at a single institution to evaluate the safety and efficacy of bariatric surgery in older populations. A total of 11 patients were identified with a mean age of 67.5, ranging from 65 to 78. All patients had obesity-related comorbidities including hypertension (90.9%), obstructive sleep apnea (72.7%), diabetes mellitus (54.5%), hyperlipidemia (45.5%), and others. The mean %EWL at 12 months was 26.1% with improvement in comorbidities and no post-operative complications. Our results demonstrate that bariatric surgery can be safe for the geriatric population with improvement in weight loss and comorbidities.
ABSTRACT
Emphysematous cystitis (EC) is a rare condition characterized by gas within the bladder wall or lumen. EC is most commonly seen in elderly women with poorly controlled diabetes mellitus (DM). Escherichia coli and Klebsiella pneumoniae are most commonly implicated. We present a 68-year-old woman with poorly controlled DM who presented with altered mental state with growth of Candida glabrata in urine and blood cultures. CT abdomen and pelvis revealed air in the bladder lumen and the extraperitoneal space. Bladder rupture was suspected and bladder decompression was managed conservatively with a foley catheter.