ABSTRACT
The American Academy of Dermatology (AAD) launched DataDerm™ in 2016 as the clinical data registry platform of AAD. DataDerm has evolved to be the largest database in the world containing information about dermatology patients, capturing information about their course of disease, associated therapeutic interventions, and health outcomes. As of December 31, 2022, DataDerm contained data from 14.2 million unique patients and 53.5 million unique patient visits, with 415 practices representing 1,663 clinicians actively participating in DataDerm in 2022. This article is the fourth in a series of Annual Reports about the status of DataDerm. This year's 2023 annual report presents the progress DataDerm has made in conjunction with OM1, the data analytics partner of DataDerm, with a special highlight on the longitudinal care of common dermatologic conditions in the registry and a detailed focus on skin cancer. Furthermore, we review the current status of DataDerm as a robust representation of real world specialty data, reflecting the day-to-day dermatologic care of patients over time.
ABSTRACT
The American Academy of Dermatology (AAD) launched DataDerm in 2016 as the clinical data registry platform of AAD. DataDerm has evolved to be the largest database containing information about dermatology patients in the world. As of December 31, 2021, DataDerm contained data from 13.2 million unique patients and 47.0 million unique patient visits, with 403 practices representing 1670 clinicians actively participating in DataDerm in 2021. Of the 1670 clinicians participating in DataDerm in 2021, the majority were dermatologists (978) followed by physician assistants (375) and nurse practitioners (163) who are employed by AAD members and meet the AAD definition of the AAD DermCare team. Furthermore, in 2021, 834 clinicians submitted data via DataDerm to the Merit-based Incentive Payment System of the Centers for Medicare & Medicaid Services. This article is the third annual report about the status of DataDerm. This year's 2022 annual report presents the progress DataDerm has made over the past year in conjunction with OM1, the data analytics partner of DataDerm, as well as the current status and future plans of DataDerm.
Subject(s)
Dermatology , Nurse Practitioners , Physician Assistants , Aged , Humans , United States , Medicare , Databases, FactualABSTRACT
BACKGROUND: Data are limited on the selection and sequencing of second-line and third-line pediatric antiretroviral treatment (ART) in resource-limited settings. This study aimed to evaluate characteristics of African pediatric patients initiated on darunavir (DRV) and/or etravirine (ETR) through a specific drug donation program. METHODS: This was a cross-sectional study of baseline immunologic, virologic and demographic characteristics of children and adolescents initiating DRV-based and/or ETR-based ART. Descriptive statistics were used. RESULTS: Study enrolled 48 patients (45.8% women; median age = 15 years [interquartile range 17.7-10.3]) at 9 clinical sites in Zambia, Swaziland, Kenya and Lesotho. The majority (87.5%; n = 42) had received ≥2 prior ART regimens; most (81.2%) had received lopinavir/ritonavir-based ART before switch. All patients had detectable HIV RNA (median = 56,653 copies/mL). Forty seven patients (98.9%) had HIV genotype results: 41 (87.2%) had ≥1 nucleos(t)ide reverse transcriptase inhibitor (NRTI)-resistance mutation (RM), predominantly M184V (76.6%; n = 36); 31 (65.9%) had ≥1 non-NRTI-RM, including 27 (57.4%) with ≥1 ETR-RM; 30 (63.8%) had ≥3 protease inhibitor RM, including 20 (42.6%) with ≥1 DRV-RM. For new ART regimens, DRV and raltegravir were most frequently prescribed (83.3%; n = 40 on DRV and raltegravir, each). Eighteen patients (37.5%) were initiated on the NRTI-sparing ART. CONCLUSIONS: In our study, a significant proportion of treatment-experienced African children and adolescents had one or more DRV-RM and ETR-RM. For the new regimen, more than a third of pediatric patients failing second-line ART were prescribed NRTI-sparing regimens. Better understanding of the current approaches to pediatric ART sequencing in resource-limited settings is needed.
