Achieving Surgical, Obstetric, Trauma, and Anesthesia (SOTA) care for all in South Asia.

South Asia is a demographically crucial, economically aspiring, and socio-culturally diverse region in the world. The region contributes to a large burden of surgically-treatable disease conditions. A large number of people in South Asia cannot access safe and affordable surgical, obstetric, trauma, and anesthesia (SOTA) care when in need. Yet, attention to the region in Global Surgery and Global Health is limited. Here, we assess the status of SOTA care in South Asia. We summarize the evidence on SOTA care indicators and planning. Region-wide, as well as country-specific challenges are highlighted. We also discuss potential directions-initiatives and innovations-toward addressing these challenges. Local partnerships, sustained research and advocacy efforts, and politics can be aligned with evidence-based policymaking and health planning to achieve equitable SOTA care access in the South Asian region under the South Asian Association for Regional Cooperation (SAARC).

Real-world post-deployment performance of a novel machine learning-based digital health technology for skin lesion assessment and suggestions for post-market surveillance.

Introduction: Deep Ensemble for Recognition of Malignancy (DERM) is an artificial intelligence as a medical device (AIaMD) tool for skin lesion assessment. Methods: We report prospective real-world performance from its deployment within skin cancer pathways at two National Health Service hospitals (UK) between July 2021 and October 2022. Results: A total of 14,500 cases were seen, including patients 18-100 years old with Fitzpatrick skin types I-VI represented. Based on 8,571 lesions assessed by DERM with confirmed outcomes, versions A and B demonstrated very high sensitivity for detecting melanoma (95.0-100.0%) or malignancy (96.0-100.0%). Benign lesion specificity was 40.7-49.4% (DERM-vA) and 70.1-73.4% (DERM-vB). DERM identified 15.0-31.0% of cases as eligible for discharge. Discussion: We show DERM performance in-line with sensitivity targets and pre-marketing authorisation research, and it reduced the caseload for hospital specialists in two pathways. Based on our experience we offer suggestions on key elements of post-market surveillance for AIaMDs.

Artificial intelligence in the detection of skin cancer.

Recent advances in artificial intelligence (AI) in dermatology have demonstrated the potential to improve the accuracy of skin cancer detection. These capabilities may augment current diagnostic processes and improve the approach to the management of skin cancer. To explain this technology, we discuss fundamental terminology, potential benefits, and limitations of AI, and commercial applications relevant to dermatologists. A clear understanding of the technology may help to reduce physician concerns about AI and promote its use in the clinical setting. Ultimately, the development and validation of AI technologies, their approval by regulatory agencies, and widespread adoption by dermatologists and other clinicians may enhance patient care. Technology-augmented detection of skin cancer has the potential to improve quality of life, reduce health care costs by reducing unnecessary procedures, and promote greater access to high-quality skin assessment. Dermatologists play a critical role in the responsible development and deployment of AI capabilities applied to skin cancer.

Disparities in dermatology AI performance on a diverse, curated clinical image set.

An estimated 3 billion people lack access to dermatological care globally. Artificial intelligence (AI) may aid in triaging skin diseases and identifying malignancies. However, most AI models have not been assessed on images of diverse skin tones or uncommon diseases. Thus, we created the Diverse Dermatology Images (DDI) dataset-the first publicly available, expertly curated, and pathologically confirmed image dataset with diverse skin tones. We show that state-of-the-art dermatology AI models exhibit substantial limitations on the DDI dataset, particularly on dark skin tones and uncommon diseases. We find that dermatologists, who often label AI datasets, also perform worse on images of dark skin tones and uncommon diseases. Fine-tuning AI models on the DDI images closes the performance gap between light and dark skin tones. These findings identify important weaknesses and biases in dermatology AI that should be addressed for reliable application to diverse patients and diseases.

Alopecia Areata Treatment Patterns, Healthcare Resource Utilization, and Comorbidities in the US Population Using Insurance Claims.

INTRODUCTION: Alopecia areata (AA) is an autoimmune disorder causing sudden, non-scarring hair loss. There are currently no drugs approved for AA treatment. This study assessed prevalence of comorbidities, treatments, and healthcare costs and resource utilization among patients with AA in the USA. METHODS: Patients diagnosed with AA between January 2011 and December 2018 were identified in IBM MarketScan® Research Databases. Eligible patients had no other hair loss-related disorders and were continuously enrolled with medical and pharmacy benefits at least 12 months before and after AA diagnosis. Descriptive statistics were used to summarize comorbid conditions, treatments related to AA or other autoimmune/inflammatory conditions, and all-cause and AA-specific healthcare costs and resource utilization identified from claims data. RESULTS: A total of 68,121 patients with AA were identified. Mean (SD) age was 40.3 (17.8) years and 61.0% were female. The most common comorbidities included hyperlipidemia (22.4%), hypertension (21.8%), thyroid disorders (13.1%), contact dermatitis or eczema (10.8%), depression (9.5%), and anxiety (8.4%). Comorbid autoimmune diseases included atopic dermatitis (2.8%), psoriasis (2.1%), chronic urticaria (1.5%), and rheumatoid arthritis (1.1%). During the 12-month follow-up period, 37,995 patients (55.8%) were prescribed treatment for their AA or other comorbid autoimmune/inflammatory disease; 44.9% of treated patients were prescribed therapy within 7 days of AA diagnosis. Of patients receiving treatment, 80.3% received topical steroids and 30.0% received oral steroids. Mean (SD) total healthcare costs were $11,241.21 ($43,839.69) for all-causes and $419.12 ($1534.99) for AA. AA-related expenses were driven by outpatient and prescription costs. CONCLUSION: Patients with AA have a high comorbidity burden and lack of treatment. Current AA treatments, including systemic therapies other than oral steroids, were not frequently utilized in this study population. Healthcare costs incurred by patients with AA went beyond AA-related expenses. Longitudinal data are needed to better understand treatment trajectories and the disease burden in patients with AA.

Innovation interest within dermatology: a needs assessment for novel thought processes.

Medical innovation is crucial to advancing our field, and physicians have the potential to play a leading role due to their daily patient care experiences. The objective of this study was to evaluate the interest in, and barriers to participating in innovation. Two surveys were conducted; the first cross-sectional survey was conducted among attendees of the Advancing Innovation in Dermatology Forum in Feburary 2019. The second survey was conducted among trainees (resident/fellows) and faculty dermatologists at Brown, Emory, Iowa, Stanford, and Vanderbilt Universities between June and November 2019. Demographic data were collected, as well as factors involved with identifying problems, developing solutions, training in innovation, and perceived barriers to innovation. In the first survey, the greatest perceived benefits include bringing joy to one's work and increasing professional fulfillment with work. Innovation was also perceived to decrease burnout. In the second survey of academic centers, faculty more commonly expressed interest in identifying problems (p = 0.04), and was also more confident in their ability to generate solutions to these problems as compared to trainees (p < 0.01). Major barriers to participating in innovation processes included lack of time and lack of training or education in innovation. Both trainees and faculty groups noted a lack of knowledge in creating prototypes, understanding regulatory approval for medical products, and inexperience with pitching to investors or obtaining funding. These cross-sectional needs assessment surveys found a strong interest in innovation coupled with a lack of education in innovation processes. These findings suggest an urgent need and opportunity for providing formal training to empower dermatologists with the tools to lead innovation within our field.

Brigham Eyebrow Tool for Alopecia: A Reliable Assessment of Eyebrow Alopecia Areata.

There are no tools to evaluate eyebrow involvement in patients with alopecia areata. We developed and assessed the reliability of the Brigham Eyebrow Tool for Alopecia (BETA) as a quantitative evaluation of eyebrow alopecia areata. BETA uses facial landmarks of eyebrow anatomy and is calculated using surface area and density. A total of 50 eyebrow images with varying levels of hair loss were distributed to six board-certified dermatologists at three academic medical centers with standardized instructions and examples. Interrater and intrarater reliability were calculated using intraclass correlation coefficients (ICCs). BETA demonstrated high interrater (ICC = 0.88, confidence interval = 0.83-0.92 right eyebrow scores and ICC = 0.90, confidence interval = 0.85-0.94 left eyebrow scores) and intrarater (ICC = 0.90, confidence interval = 0.85-0.93 right eyebrow scores and ICC = 0.91, confidence interval = 0.87-0.94 left eyebrow scores) reliability. When measured in the same patient with varying degrees of hair loss over time, BETA demonstrated sensitivity to change. BETA is a simple and reliable objective assessment of eyebrow alopecia areata. BETA is easy-to-use and quick to calculate, making it feasible for a variety of clinical and research settings. Although developed for alopecia areata, we hope that BETA will be investigated in other etiologies of eyebrow alopecia to serve as a universal tool for monitoring disease progression, improvement, and response to treatment.

Burden of Illness in Alopecia Areata: A Cross-Sectional Online Survey Study.

Previous QOL and disease burden studies have not captured all relevant aspects of living with alopecia areata (AA). To better understand the burden and everyday experience of living with moderate-to-severe AA, a cross-sectional, online, quantitative-qualitative survey was developed to assess symptoms, relationships, productivity, treatments, and financial burden. Adult patients were recruited from the National Alopecia Areata Foundation database. Data were analyzed descriptively. A total of 216 patients completed the survey. Most were female (83%), aged ≥45 years (59%), and white (78%). Nearly 2 of 3 respondents (62%) made different major life decisions (regarding relationships, education, or career) owing to AA. Most respondents (85%) stated coping with AA as a daily challenge, citing mental health issues, concealing hair loss, and others' reactions; 47% reported anxiety and/or depression. Many patients (75%) persistently concealed hair loss (mean time spent, 10.3 h/wk). Treatment discontinuation was common owing to lack of efficacy, side effects, and cost. Associated expenditures included buying wigs or hairpieces and psychotherapy (mean ∼$2,000/y each). Survey respondents comprised a self-selected sample, which may not reflect the entire population. The impact of AA extends beyond cosmetic concerns and carries a considerable psychosocial burden. Efficacious, less burdensome AA treatments are needed to regrow hair and alleviate psychosocial sequelae.

Development of Clinician-Reported Outcome (ClinRO) and Patient-Reported Outcome (PRO) Measures for Eyebrow, Eyelash and Nail Assessment in Alopecia Areata.

BACKGROUND: Eyebrow and eyelash hair loss and nail damage-in addition to scalp hair loss-are important signs/symptoms of alopecia areata (AA) to patients and deserve assessment in AA clinical trials. OBJECTIVES: Our objective was to develop clinician-reported outcome (ClinRO) and patient-reported outcome (PRO) measures and accompanying photoguides to aid in the assessment of AA-related eyebrow, eyelash and nail signs/symptoms. METHODS: Iterative rounds of qualitative, semi-structured interviews were conducted with US expert dermatologists and North American patients with AA. Patients with eyebrow, eyelash and nail involvement were purposefully sampled. Interview transcripts were qualitatively analyzed. RESULTS: Dermatologists (n = 10) described eyebrow and eyelash loss as concerning for affected patients and, along with nail appearance, as deserving assessment. Dermatologist data informed the development of single item, 4-point Likert-type ClinRO and PRO measures of current eyebrow loss, eyelash loss and nail appearance and a PRO measure of eye irritation. Patients (n = 45, age 15-72 years) confirmed the importance and relevance of these signs/symptoms. Interim revision resulted in measures that were understood by and relevant to patients. Dermatologists (n = 5) and patients (n = 10, age 21-54 years) participated in the development of the eyebrow, eyelash and nail photoguides and confirmed that they included photos that appropriately represented different severity levels and were helpful to derive and standardize ratings across raters. CONCLUSIONS: The ClinRO and PRO measures for eyebrow, eyelash and nail appearance, with their accompanying photoguides and the PRO Measure for Eye Irritation provide clear and meaningful assessments of outcomes important to patients with AA.

Implementation and evaluation of Stanford Health Care store-and-forward teledermatology consultation workflow built within an existing electronic health record system.

Introduction: Teledermatology services that function separately from patients' primary electronic health record (EHR) can lead to fragmented care, poor provider communication, privacy concerns and billing challenges. This study addresses these challenges by developing PhotoCareMD, a store-and-forward (SAF) teledermatology consultation workflow built entirely within an existing Epic-based EHR. Methods: Thirty-six primary care physicians (PCPs) from eight outpatient clinics submitted 215 electronic consults (eConsults) for 211 patients to a Stanford Health Care dermatologist via PhotoCareMD. Comparisons were made with in-person referrals for this same dermatologist prior to initiation of PhotoCareMD. Results: Compared to traditional in-person dermatology clinic visits, eConsults decreased the time to diagnosis and treatment from 23 days to 16 hours. The majority (73%) of eConsults were resolved electronically. In-person referrals from PhotoCareMD (27%) had a 50% lower cancellation rate compared with traditional referrals (11% versus 22%). The average in-person visit and documentation was 25 minutes compared with 8 minutes for an eConsult. PhotoCareMD saved 13 additional clinic hours to be made available to the dermatologist over the course of the pilot. At four patients per hour, this opens 52 dermatology clinic slots. Over 96% of patients had a favourable experience and 95% felt this service saved them time. Among PCPs, 100% would recommend PhotoCareMD to their colleagues and 95% said PhotoCareMD was a helpful educational tool. Discussion: An internal SAF teledermatology workflow can be effectively implemented to increase access to and quality of dermatologic care. Our workflow can serve as a successful model for other hospitals and specialties.

Higher Risk of Posttransplant Liver Graft Failure in Male Recipients of Female Donor Grafts Might Not Be Due to Anastomotic Size Disparity.

BACKGROUND: Posttransplant liver graft failure occurs most often in male recipients of livers from female donors. The respective role of donor sex itself and the size disparity in graft vessels/bile ducts according to donor sex are unclear. Thus, we aimed to evaluate the importance of donor sex with adjustment for anastomotic size disparity between female and male donor grafts. METHODS: A total of 309 male patients without hepatic tumors who underwent living donor liver transplantation were analyzed (109 female donors and 200 male donors). The primary outcome was posttransplant graft failure (ie, retransplantation or death). Survival analysis was performed using the Cox model. Analyzed anastomosis-related factors comprised graft weight, number and size of hepatic vessels/bile ducts, and anastomosis techniques. RESULTS: Graft failure probabilities at 1, 6, 12, 24, and 60 months posttransplantation were 9.1%, 19.5%, 20.2%, 23.0%, and 27.0%, respectively, with female donors and 2.0%, 5.5%, 8.1%, 10.1%, and 13.5% with male donors (hazards ratio [HR], 2.29; 95% confidence interval [CI], 1.35-3.88; P = 0.002). Multivariable analysis confirmed the significance of donor sex (HR, 2.30; 95% CI, 1.14-4.67; P = 0.021) after adjustment for anastomosis-related factors. All analyzed anastomosis-related factors showed no significant association with graft failure, although size of the graft hepatic artery showed marginal significance (HR, 0.50; 95% CI, 0.25-1.01; P = 0.053). The significance of donor sex was lost when donor was older than 36 to 40 years (age of poor ovarian reserve and the end of female fertility). Our institutional pediatric recipient cohort validated the inferiority of female-to-male donation. CONCLUSIONS: Donor sex appears to be an independent factor modulating graft failure risk in male liver transplant recipients.

Extended Screening Costs Associated With Selecting Donors for Fecal Microbiota Transplantation for Treatment of Metabolic Syndrome-Associated Diseases.

BACKGROUND: Knowledge of the impact of the gut microbiome on conditions other than Clostridium difficile infection has been rapidly increasing, and the potential usefulness of fecal microbiota transplantation (FMT) in these indications is being explored. The need to exclude donors with an increased risk of these diseases has left uncertainties regarding the cost and feasibility of donor screening. The aim of this study was to compare our experience to other donor-screening programs and report the costs associated with establishing a donor-screening program, for the treatment of metabolic syndrome-related conditions. METHODS: Forty-six potential donors (PDs) had their medical histories and physical examinations undertaken by a physician. Blood, stool, and urine were screened for 31 viral, bacterial, fungal, and protozoan agents in addition to biochemical characteristics. The price of advertising, doctor's visits and diagnostic tests were calculated to determine the cost of finding a donor. RESULTS: Of the PDs screened, 5 of 46 passed the history, examination, blood, stool, and urine tests. The most common reasons for exclusion included a body mass index >25 or the detection of Blastocystis hominis, Dientamoeba fragilis, or Helicobacter pylori. Four of five eligible donors had subsequent travel or illness that contraindicated donation, so only 1 of 46 PDs was suitable. The total cost for finding a single suitable donor was $15190 US dollars. This screening was performed in Canada, and costs in the United States would be substantially higher. CONCLUSIONS: New potential therapeutic uses for FMT have created a demand for stricter exclusion criteria for donors. This study illustrates that screening many individuals to find a donor and the subsequent associated costs may make central processing and shipment a more reasonable alternative.

Prospective assessment of computer-aided detection in interpretation of screening mammography.

OBJECTIVE: The purpose of this study was to prospectively assess the usefulness of computer-aided detection (CAD) in the interpretation of screening mammography and to provide the true sensitivity and specificity of this technique in a clinical setting. SUBJECTS AND METHODS: Over a 26-month period, 5,016 screening mammograms were interpreted without, and subsequently with, the assistance of the iCAD MammoReader detection system. Data collected for actionable findings included dominant feature (calcification, mass, asymmetry, architectural distortion), detection method (radiologist only, CAD only, or both radiologist and CAD), BI-RADS assessment code, associated histopathology for those undergoing biopsy, and tumor stage for malignant lesions. The study population was cross-checked against an independent reference standard to identify false-negative cases. RESULTS: Of the 5,016 cases, the recall rate increased from 12% to 14% with the addition of CAD. Of the 107 (2%) patients who underwent biopsy, 101 (94%) were prompted by the radiologist and six (6%) were prompted by CAD. Of the 124 biopsies performed on actionable findings in the 107 patients, findings in 79 (64%) were benign and in 45 (36%) were in situ or invasive carcinoma. Three study participants who were not recalled by the radiologist with the assistance of CAD developed cancer within 1 year of the screening mammogram and were considered to be false-negative cases. The radiologist detected 43 (90%) of the 48 total malignancies and 45 (94%) of the 48 malignancies with the assistance of CAD. CAD missed eight cancers that were detected by the radiologist, which presented as architectural distortions (n = 3), irregular masses (n = 4), and a circumscribed mass (n = 1). CAD detected two in situ cancers as a faint cluster of calcifications that had not been perceived by the radiologist and one mass that was dismissed by the radiologist, accounting for at least a 4.7% increase in cancer detection rate. Sensitivity of screening mammography with the use of CAD (94%) represented an absolute and relative 4% increase over the sensitivity of the radiologist alone (90%). Specificity of screening mammography with and without the use of CAD was 99%. CONCLUSION: Routine use of CAD while interpreting screening mammograms significantly increases recall rates, has no significant effect on positive predictive value for biopsy, and can increase cancer detection rate by at least 4.7% and sensitivity by at least 4%. This study provides "true" values for sensitivity and specificity for use of CAD in interpretation of screening mammography as measured prospectively in the context of a working clinical setting.