Measurements of Impoverishing and Catastrophic Surgical Health Expenditures in Low- and Middle-Income Countries and Reduction Interventions in the Last 30 Years: A Systematic Review.

INTRODUCTION: Approximately 33 million people suffer catastrophic health expenditure (CHE) from surgery and/or anesthesia costs. The aim of this systematic review is to evaluate catastrophic and impoverishing expenditure associated with surgery and anesthesia in low- and middle-income countries (LMICs). METHODS: We performed a systematic review of all studies from 1990 to 2021 that reported CHE in LMICs for treatment of a condition requiring surgical intervention, including cesarean section, trauma care, and other surgery. RESULTS: 77 studies met inclusion criteria. Tertiary facilities (23.4%) were the most frequently studied facility type. Only 11.7% of studies were conducted in exclusively rural health-care settings. Almost 60% of studies were retrospective in nature. The cost of procedures ranged widely, from $26 USD for a cesarean section in Mauritania in 2020 to $74,420 for a pancreaticoduodenectomy in India in 2018. GDP per capita had a narrower range from $315 USD in Malawi in 2019 to $9955 USD in Malaysia in 2015 (Median = $1605.50, interquartile range = $1208.74). 35 studies discussed interventions to reduce cost and catastrophic expenditure. Four of those studies stated that their intervention was not successful, 18 had an unknown or equivocal effect on cost and CHE, and 13 concluded that their intervention did help reduce cost and CHE. CONCLUSIONS: CHE from surgery is a worldwide problem that most acutely affects vulnerable patients in LMICs. Existing efforts are insufficient to meet the true need for affordable surgical care unless assistance for ancillary costs is given to patients and families most at risk from CHE.

Deep learning-based algorithm for postoperative glioblastoma MRI segmentation: a promising new tool for tumor burden assessment.

OBJECTIVE: Clinical and surgical decisions for glioblastoma patients depend on a tumor imaging-based evaluation. Artificial Intelligence (AI) can be applied to magnetic resonance imaging (MRI) assessment to support clinical practice, surgery planning and prognostic predictions. In a real-world context, the current obstacles for AI are low-quality imaging and postoperative reliability. The aim of this study is to train an automatic algorithm for glioblastoma segmentation on a clinical MRI dataset and to obtain reliable results both pre- and post-operatively. METHODS: The dataset used for this study comprises 237 (71 preoperative and 166 postoperative) MRIs from 71 patients affected by a histologically confirmed Grade IV Glioma. The implemented U-Net architecture was trained by transfer learning to perform the segmentation task on postoperative MRIs. The training was carried out first on BraTS2021 dataset for preoperative segmentation. Performance is evaluated using DICE score (DS) and Hausdorff 95% (H95). RESULTS: In preoperative scenario, overall DS is 91.09 (± 0.60) and H95 is 8.35 (± 1.12), considering tumor core, enhancing tumor and whole tumor (ET and edema). In postoperative context, overall DS is 72.31 (± 2.88) and H95 is 23.43 (± 7.24), considering resection cavity (RC), gross tumor volume (GTV) and whole tumor (WT). Remarkably, the RC segmentation obtained a mean DS of 63.52 (± 8.90) in postoperative MRIs. CONCLUSIONS: The performances achieved by the algorithm are consistent with previous literature for both pre-operative and post-operative glioblastoma's MRI evaluation. Through the proposed algorithm, it is possible to reduce the impact of low-quality images and missing sequences.

Female sexual medicine: an assessment of medical school curricula in a major United States city.

Background: Although approximately 41% of women experience sexual dysfunction, limited education on female sexual medicine (FSM) in medical school results in underpreparedness among physicians when addressing these bothersome conditions. Aim: This study aims to evaluate the extent to which FSM is represented in medical education by examining current preclinical and clinical curricula. Methods: Preclinical curriculum materials on female sexual anatomy, physiology, and pathology, as well as obstetrics and gynecology clinical materials (syllabi, lecture materials, and supplemental resources), were collected from medical schools in the Chicago area. We utilized previous literature to identify specific components of medical school content to evaluate. Outcomes: Upon reviewing each institution's curricula, we evaluated materials for topic saturation and assessed goals of each syllabus in terms of required content. Results: Curriculum materials were collected from 7 medical schools. In the preclinical assessment, 1 institution identified all anatomic components of the clitoris in our review, 4 discussed the physiology of the female orgasm, 3 highlighted the prevalence and epidemiology of female sexual dysfunction (FSD), 3 addressed treatments for FSD, and 1 instructed a genitourinary physical exam specific to assessing FSD. When assessing obstetrics and gynecology clinical materials, 5 institutions included topics related to FSM. Of these, only 1 institution had corresponding required synchronous clerkship time dedicated to these topics as a 1-hour lecture, in addition to an optional online training to third-year clinical students in comprehensive sexual history-taking practices, including screening for FSD. One other institution offered supplemental case-based gynecology modules including vulvovaginal diseases and chronic pelvic pain, though sexual pleasure, arousal, and libido were not included. Clinical Implications: The results of this study highlight the need for the inclusion of standardized curricula related to FSM in medical education to equip future physicians to treat patients with sexual dysfunction. Strengths and Limitations: The strengths of this study include that it is the first of its kind to complete a comprehensive review of FSM curricula at a cohort of undergraduate medical institutions. Its limitations include a small sample size of 7 medical schools limited to 1 geographical area. Conclusion: Our focused needs assessment of medical schools in the Chicago area reveals inconsistencies in outlined institution-specific course goals related to FSM and thus highlights the need for restructuring the curricula to prepare future physicians to recognize and treat patients with sexual dysfunction.

A comprehensive assessment of self-reported symptoms among patients harboring an unruptured intracranial aneurysm.

Background: Approximately 3.2%-6% of the general population harbor an unruptured intracranial aneurysm (UIA). Ruptured aneurysms represent a significant healthcare burden, and preventing rupture relies on early detection and treatment. Most patients with UIAs are asymptomatic, and many of the symptoms associated with UIAs are nonspecific, which makes diagnosis challenging. This study explored symptoms associated with UIAs, the rate of resolution of such symptoms after microsurgical treatment, and the likely pathophysiology. Methods: A retrospective review of patients with UIAs who underwent microsurgical treatment from January 1, 2014, to December 31, 2020, at a single quaternary center were identified. Analyses included the prevalence of nonspecific symptoms upon clinical presentation and postoperative follow-up; comparisons of symptomatology by aneurysmal location; and comparisons of patient demographics, aneurysmal characteristics, and poor neurologic outcome at postoperative follow-up stratified by symptomatic versus asymptomatic presentation. Results: The analysis included 454 patients; 350 (77%) were symptomatic. The most common presenting symptom among all 454 patients was headache (n = 211 [46%]), followed by vertigo (n = 94 [21%]), cognitive disturbance (n = 68[15%]), and visual disturbance (n = 64 [14%]). Among 328 patients assessed for postoperative symptoms, 258 (79%) experienced symptom resolution or improvement. Conclusion: This cohort demonstrates that the clinical presentation of patients with UIAs can be associated with vague and nonspecific symptoms. Early detection is crucial to prevent aneurysmal subarachnoid hemorrhage. It is imperative that physicians not rule out aneurysms in the setting of nonspecific neurologic symptoms.