TY - JOUR AU - McKee, Hayley AU - Eder, Lihi AU - Jerome, Dana AU - Mirza, D. Reza AU - Obetta, Chikaodili AU - Pek, Elisabeth AU - Piguet, Vincent AU - Alhusayen, Raed PY - 2024/8/22 TI - Prevalence of Musculoskeletal Symptoms in Patients With Hidradenitis Suppurativa and Associated Factors: Cross-Sectional Study JO - JMIR Dermatol SP - e58989 VL - 7 KW - hidradenitis suppurativa KW - cross sectional KW - skin KW - musculoskeletal symptoms KW - morning stiffness KW - arthralgia KW - comorbidities KW - musculoskeletal KW - comorbidity KW - stiff KW - stiffness KW - muscle KW - muscles KW - muscular KW - prevalence KW - incidence KW - epidemiology KW - epidemiological KW - factor KW - factors KW - dermatology KW - dermatological UR - https://derma.jmir.org/2024/1/e58989 UR - http://dx.doi.org/10.2196/58989 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/58989 ER - TY - JOUR AU - Gawey, Lauren AU - Dagenet, B. Caitlyn AU - Tran, A. Khiem AU - Park, Sarah AU - Hsiao, L. Jennifer AU - Shi, Vivian PY - 2024/8/14 TI - Readability of Information Generated by ChatGPT for Hidradenitis Suppurativa JO - JMIR Dermatol SP - e55204 VL - 7 KW - hidradenitis suppurativa KW - ChatGPT KW - Chat-GPT KW - chatbot KW - chatbots KW - chat-bot KW - chat-bots KW - machine learning KW - ML KW - artificial intelligence KW - AI KW - algorithm KW - algorithms KW - predictive model KW - predictive models KW - predictive analytics KW - predictive system KW - practical model KW - practical models KW - deep learning KW - patient resources KW - readability UR - https://derma.jmir.org/2024/1/e55204 UR - http://dx.doi.org/10.2196/55204 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/55204 ER - TY - JOUR AU - Hardin, Jill AU - Murray, Gayle AU - Swerdel, Joel PY - 2022/11/30 TI - Phenotype Algorithms to Identify Hidradenitis Suppurativa Using Real-World Data: Development and Validation Study JO - JMIR Dermatol SP - e38783 VL - 5 IS - 4 KW - dermatology KW - hidradenitis suppurativa KW - medical dermatology KW - observational data KW - phenotype KW - inflammation KW - skin disease KW - epidemiology KW - algorithm N2 - Background: Hidradenitis suppurativa (HS) is a potentially debilitating, chronic, recurring inflammatory disease. Observational databases provide opportunities to study the epidemiology of HS. Objective: This study?s objective was to develop phenotype algorithms for HS suitable for epidemiological studies based on a network of observational databases. Methods: A data-driven approach was used to develop 4 HS algorithms. A literature search identified prior HS algorithms. Standardized databases from the Observational Medical Outcomes Partnership (n=9) were used to develop 2 incident and 2 prevalent HS phenotype algorithms. Two open-source diagnostic tools, CohortDiagnostics and PheValuator, were used to evaluate and generate phenotype performance metric estimates, including sensitivity, specificity, positive predictive value (PPV), and negative predictive value. Results: We developed 2 prevalent and 2 incident HS algorithms. Validation showed that PPV estimates were highest (mean 86%) for the prevalent HS algorithm requiring at least two HS diagnosis codes. Sensitivity estimates were highest (mean 58%) for the prevalent HS algorithm requiring at least one HS code. Conclusions: This study illustrates the evaluation process and provides performance metrics for 2 incident and 2 prevalent HS algorithms across 9 observational databases. The use of a rigorous data-driven approach applied to a large number of databases provides confidence that the HS algorithms can correctly identify HS subjects. UR - https://derma.jmir.org/2022/4/e38783 UR - http://dx.doi.org/10.2196/38783 UR - http://www.ncbi.nlm.nih.gov/pubmed/37632892 ID - info:doi/10.2196/38783 ER - TY - JOUR AU - Kulkarni, Vishnutheertha AU - Okoye, A. Ginette AU - Garza, A. Luis AU - Wongvibulsin, Shannon PY - 2022/6/9 TI - Geospatial Heterogeneity of Hidradenitis Suppurativa Searches in the United States: Infodemiology Study of Google Search Data JO - JMIR Dermatol SP - e34594 VL - 5 IS - 2 KW - hidradenitis suppurativa KW - infodemiology KW - internet KW - digital dermatoepidemiology KW - epidemiology KW - big data KW - dermatology UR - https://derma.jmir.org/2022/2/e34594 UR - http://dx.doi.org/10.2196/34594 UR - http://www.ncbi.nlm.nih.gov/pubmed/37632873 ID - info:doi/10.2196/34594 ER - TY - JOUR AU - Maghfour, Jalal AU - Sivesind, Torunn AU - Piguet, Vincent AU - Dellavalle, Robert AU - Ingram, R. John PY - 2022/3/11 TI - From the Cochrane Library: Interventions for Hidradenitis Suppurativa JO - JMIR Dermatol SP - e29966 VL - 5 IS - 1 KW - hidradenitis suppurativa KW - quality of life KW - outcome measures KW - heterogenetity in HS research KW - dermatology KW - comorbidities KW - treatment interventions KW - review UR - https://derma.jmir.org/2022/1/e29966 UR - http://dx.doi.org/10.2196/29966 UR - http://www.ncbi.nlm.nih.gov/pubmed/37632870 ID - info:doi/10.2196/29966 ER - TY - JOUR AU - Finstad, Alexandra AU - Lee, Alex AU - George, Ralph AU - Alhusayen, Raed PY - 2021/12/14 TI - Exploring Access to Surgical Interventions for Hidradenitis Suppurativa: Retrospective Population-Based Analysis JO - JMIR Dermatol SP - e31047 VL - 4 IS - 2 KW - hidradenitis suppurativa KW - surgery KW - dermatology KW - access KW - epidemiology KW - universal health care N2 - Background: Hidradenitis suppurativa (HS) is a painful inflammatory disorder that confers significant distress to patients, with surgery as an integral treatment modality. Objective: To inform improvements in care, patterns in HS surgery were assessed. Methods: A retrospective population-based analysis was performed on Ontario billing claims for HS surgery across a period of 10 years from January 1, 2008 to December 31, 2017. HS surgery was defined as the excision of inguinal, perineal, or axillary skin and sweat glands for hidradenitis. The top 5 billing specialties, including general and plastic surgery, were analyzed. The total number of procedures performed as well as the number performed per physician were investigated. Patient and physician locations were compared. Results: A total of 7195 claims for the excision of inguinal, perineal, or axillary skin and sweat glands for HS were submitted across the study period. Annual HS surgery claims showed an increasing trend across 10 years, ranging between 4.9 and 5.8 per 100,000 population. However, overall, for every additional year, the number of claims per 100,000 population only increased slightly, by 0.03 claims. The number of providers steadily decreased, ranging between 1.7 and 1.9 per 100,000, with approximately twice as many general than plastic surgeons. However, again overall, for every additional year, the number of providers per 100,000 population decreased slightly, by 0.002 physicians. The mean annual number of procedures per physician rose from 2.8 to 3.1. In rural areas, analyzed per claim, general surgeons performed the majority of surgeries (1318/2003, 65.8%), while in urban areas, surgeries were more equally performed by general (2616/5192, 50.4%) and plastic (2495/5192, 48.1%) surgeons. Of HS surgery claims, 25.7%-35.9% were provided by a physician residing in a different area than the patient receiving care. Conclusions: No significant improvements in access to HS surgery were seen across the study period, with access potentially worsening with annual HS claims rising overall and number of providers decreasing, with patients travelling further to access surgery. System barriers across the continuum of HS diagnosis and management must be evaluated to improve access to surgical care. UR - https://derma.jmir.org/2021/2/e31047 UR - http://dx.doi.org/10.2196/31047 UR - http://www.ncbi.nlm.nih.gov/pubmed/37632848 ID - info:doi/10.2196/31047 ER - TY - JOUR AU - Maghfour, Jalal AU - Sivesind, Elise Torunn AU - Dellavalle, Paul Robert AU - Dunnick, Cory PY - 2021/10/1 TI - Trends in Hidradenitis Suppurativa Disease Severity and Quality of Life Outcome Measures: Scoping Review JO - JMIR Dermatol SP - e27869 VL - 4 IS - 2 KW - hidradenitis suppurativa KW - severity of illness index KW - patient-reported outcome measures KW - quality of life KW - treatment outcome KW - illness index KW - patient outcomes KW - disease severity KW - Sartorius KW - dermatology KW - treatment interventions N2 - Background: Although there has been an increase in the number of randomized controlled trials evaluating treatment efficacy for hidradenitis suppurativa (HS), instrument measurements of disease severity and quality of life (QoL) are varied, making the compilation of data and comparisons between studies a challenge for clinicians. Objective: We aimed to perform a systematic literature search to examine the recent trends in the use of disease severity and QoL outcome instruments in randomized controlled trials that have been conducted on patients with HS. Methods: A scoping review was conducted in February 2021. The PubMed, Embase, Web of Science, and Cochrane databases were used to identify all articles published from January 1964 to February 2021. In total, 41 articles were included in this systematic review. Results: The HS Clinical Response (HiSCR) score (18/41, 44%) was the most commonly used instrument for disease severity, followed by the Sartorius and Modified Sartorius scales (combined: 16/41, 39%). The Dermatology Life Quality Index (18/41, 44%) and visual analogue pain scales (12/41, 29%) were the most commonly used QoL outcome instruments in HS research. Conclusions: Randomized controlled trials conducted from 2013 onward commonly used the validated HiSCR score, while older studies were more heterogeneous and less likely to use a validated scale. A few (6/18, 33%) QoL measures were validated instruments but were not specific to HS; therefore, they may not be representative of all factors that impact patients with HS. Trial Registration: National Institute of Health Research PROSPERO CRD42020209582; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020209582 UR - https://derma.jmir.org/2021/2/e27869 UR - http://dx.doi.org/10.2196/27869 UR - http://www.ncbi.nlm.nih.gov/pubmed/37632807 ID - info:doi/10.2196/27869 ER -