The Epidemiology of Hospital-Treated Alopecia Areata in Denmark, 1995-2016.

INTRODUCTION: Alopecia areata (AA) is an autoimmune skin disease presenting as nonscarring hair loss. Information on the epidemiology of AA, especially the occurrence of AA and its subtypes within the general population, is scarce. The study aimed to estimate the incidence rates and prevalence of hospital-treated AA and its subtypes in Denmark and to examine the demographic and clinical characteristics of patients with AA, including comorbidities and use of prescription medications. METHODS: This was a cohort study based on data from administrative and health registers in Denmark in 1995-2016. The study included individuals who were (1) registered with a hospital inpatient or hospital-based outpatient clinic diagnosis of AA between 1995 and 2016 in the Danish National Patient Registry covering encounters at all Danish hospitals, (2) alive and resided in Denmark anytime between 1995 and 2016, (3) aged ≥ 12 years, and (4) resided uninterrupted in Denmark during the 12 months before the first AA diagnosis during the study period. RESULTS: During the study period, 2778 individuals with an incident hospital-based diagnosis of AA were identified; 63.1% were female and 28.7% of the patients were aged ≥ 50 years. Over the study period, the overall incidence rate for any hospital-treated AA per 100,000 person-years was 2.62 (95% confidence interval [CI], 2.53-2.72), and the overall prevalence in 2016 was 71.7 (95% CI 69.4-74.1) per 100,000 persons. Both incidence rate and prevalence increased over time. Prevalence of most hospital-treated comorbidities or history of medication use was below 10% and was similar in the alopecia totalis (AT)/alopecia universalis (AU) and non-AT/AU subtypes of AA. CONCLUSION: This cohort study reported incidence rates and prevalence over time and characteristics of individuals with hospital-treated AA in Denmark, which are in agreement with those previously reported in this population.

Demographics, clinical characteristics, and treatment patterns among keloid patients: United States Electronic Health Records (EHR) Database Study.

INTRODUCTION: There is limited epidemiologic evidence on keloids using real-world data, especially in the United States (US) across race and ethnicity. METHODS: We conducted a retrospective cohort study using Cerner Real-World Data, between 2015 and 2021, to describe the demographic and clinical characteristics of US adults with keloids. Keloids were identified using a combination of ICD-10 and (Systemized Nomenclature of Medicine-Clinical Terms [SNOMED] codes). Demographics (including race and ethnicity), clinical characteristics, treatment patterns, and healthcare utilization were compared across keloid and non-keloid populations. RESULTS: Among 5,457 keloid patients identified in the study, the majority were female (61.8%) with a mean age of 34.2 years and of non-Hispanic Black, Hispanic, and Asian descent (P < 0.001). Relative to non-keloid cohorts, patients with keloids had significantly higher rates of integumentary, cardiorespiratory, general, auditory, and ocular surgeries and burns (all P < 0.05). Patients with keloids were also more likely to have comorbidities like obesity, hypertension, hyperlipidemia, and diabetes (P < 0.05) when compared to those with no keloids. A large proportion of keloids were untreated; among those treated, the most common keloid treatments were medication therapy (51.5%) and surgical excision (10.6%). Non-Hispanic Black and Hispanic keloid patients were significantly more likely to receive medication therapy and surgical excision (P < 0.001) compared to keloid patients of other races or ethnicities. CONCLUSIONS: This study provided real-world insights into the keloid population in the US. Our findings emphasize the high burden of keloids and its substantial impact on ethnic minorities. Given high keloid recurrence rates and limited standardized treatments for keloids, further research into keloids is crucial to the development of keloid-specific therapeutic options.

Natural History of Keloids: A Sociodemographic Analysis Using Structured and Unstructured Data.

INTRODUCTION: Keloids are lesions characterized by the growth of dense fibrous tissue extending beyond original wound boundaries. Research into the natural history of keloids and potential differences by sociodemographic factors in the USA is limited. This real-world, retrospective cohort study aimed to characterize a population of patients with keloids compared with matched dermatology and general cohorts. METHODS: Patients with ≥ 2 International Classification of Diseases codes for keloid ≥ 30 days apart and a confirmed keloid diagnosis from clinical notes enrolled in the OM1 Real-World Data Cloud between 1 January 2013 and 18 March 2022 were age- and sex-matched 1:1:1 to patients without keloids who visited dermatologists ("dermatology cohort") and those who did not ("general cohort"). Results are presented using descriptive statistics and analysis stratified by cohort, race, ethnicity, household income, and education. RESULTS: Overall, 24,453 patients with keloids were matched to 23,936 dermatology and 24,088 general patients. A numerically higher proportion of patients with keloids were Asian or Black. Among available data for patients with keloids, 67.7% had 1 keloid lesion, and 68.3% had keloids sized 0.5 to < 3 cm. Black patients tended to have larger keloids. Asian and Black patients more frequently had > 1 keloid than did white patients (30.6% vs. 32.5% vs. 20.5%). Among all patients with keloids who had available data, 56.4% had major keloid severity, with major severity more frequent in Black patients. Progression was not significantly associated with race, ethnicity, income, or education level; 29%, 25%, and 20% of the dermatology, keloid, and general cohorts were in the highest income bracket (≥ US$75,000). The proportion of patients with income below the federal poverty line (< US$22,000) and patterns of education level were similar across cohorts. CONCLUSION: A large population of patients in the USA with keloids was identified and characterized using structured/unstructured sources. A numerically higher proportion of patients with keloids were non-white; Black patients had larger, more severe keloids at diagnosis.

Incidence Rates of Infections, Malignancies, Thromboembolism, and Cardiovascular Events in an Alopecia Areata Cohort from a US Claims Database.

INTRODUCTION: Alopecia areata (AA) is an autoimmune disease with an underlying immuno-inflammatory pathogenesis. Treatments can include systemic corticosteroids and immunomodulators (such as Janus kinase inhibitors); these medications may be associated with a risk of some adverse events. However, large-scale observational studies of baseline incidence rates (IRs) of infection, cardiovascular disease, malignancy, and thromboembolism in US patients with AA, including those with alopecia totalis or alopecia universalis (AT/AU), are limited. This real-world, US claims-based study aimed to estimate the incidence of events in patients with AA compared with matched patients without AA. METHODS: Patients aged ≥ 12 years enrolled in the Optum Clinformatics Data Mart database from 1 October 2016 to 30 September 2020, with ≥ 2 AA diagnosis codes were included in the AA cohort. Patients without AA were age-, sex-, and race-matched 3:1 to patients with AA. Baseline comorbidities were evaluated during the 12-month period pre-index date. Incident cases of serious/herpes infections, malignancies, major adverse cardiovascular events (MACE), and thromboembolic events were evaluated post-index date. Data are presented using descriptive statistics, proportional percentages, frequencies, and IRs (calculated with 95% CI). RESULTS: Overall, 8784 patients with AA, 599 of whom had AT/AU, were matched to 26,352 patients without AA. IRs per 1000 person-years among the AA and non-AA cohorts, respectively, were 18.5 and 20.6 for serious infections, 19.5 and 9.7 for herpes simplex infections, 7.8 and 7.6 for herpes zoster infections, 12.5 and 11.6 for primary malignancies, 16.0 and 18.1 for MACE, and 4.9 and 6.1 for venous thromboembolisms. Compared with patients with non-AT/AU AA, patients with AT/AU largely had higher IRs for most baseline comorbidities and outcome events evaluated. CONCLUSION: Patients with AA had a higher IR of herpes simplex infection than the matched non-AA cohort. Patients with AT/AU generally had higher rates of outcome events than patients without AT/AU.

Prevalence of autoimmune and inflammatory diseases and mental health conditions among an alopecia areata cohort from a US administrative claims database.

Alopecia areata (AA) is associated with an increased burden of autoimmune and inflammatory disease and mental health conditions that may have a negative impact on quality of life. However, the exact burden of comorbidities on US patients with AA and the clinical subtypes alopecia totalis (AT) and alopecia universalis (AU) compared with those without AA is not well understood. This retrospective cohort study aimed to assess the incidence rates and prevalence of AA and its clinical subtypes and examine the autoimmune and inflammatory disease and mental health condition diagnosis burden in US patients with AA and a matched cohort without AA. The Optum Clinformatics Data Mart database was used to select patients aged ≥12 years enrolled between October 1, 2016, and September 30, 2020, who had two or more AA diagnosis codes for the AA cohort. Three patients without AA were age-, sex-, and race-matched to each patient with AA. Autoimmune and inflammatory diseases and mental health conditions were evaluated at baseline and up to 2 years after the index date. In total, 8784 patients with AA (599 with AT/AU) and 26 352 matched patients without AA were included. The incidence rate of AA was 17.5 per 100 000 person-years (PY; AT/AU: 1.1 per 100 000 PY; non-AT/AU: 16.3 per 100 000 PY), and the prevalence was 54.9 per 100 000 persons (AT/AU: 3.8; non-AT/AU: 51.2). Patients with AA had a higher prevalence of autoimmune and inflammatory diseases than the matched non-AA cohort, including allergic rhinitis (24.0% vs 14.5%), asthma (12.8% vs 8.8%), atopic dermatitis (8.3% vs 1.8%), and psoriasis (5.0% vs. 1.6%). The proportions of anxiety (30.7% vs 21.6%) and major depressive disorder (17.5% vs 14.0%) were higher in patients with AA than those without AA. Patients with AT/AU generally had a greater prevalence of autoimmune and inflammatory disease and mental health conditions than patients with non-AT/AU AA.

Diagnostic Trends and Prescription Patterns in Disruptive Mood Dysregulation Disorder and Bipolar Disorder.

OBJECTIVE: Disruptive mood dysregulation disorder (DMDD) was introduced in DSM-5 to distinguish a subset of chronically irritable youth who may be incorrectly diagnosed and/or treated for pediatric bipolar disorder (BPD). This study characterized the rate of new treatment episodes and treated prevalence of BPD and DMDD from a longitudinal electronic health record database and examined the impact of DMDD on prescription trends. METHOD: A retrospective cohort study using 2008-2018 Optum electronic health record data was conducted. Youth aged 10 to < 18 years with ≥ 183 days of database enrollment before the study cohort entry were included. Annual new treatment episode rates per 1,000 patient-years and treated prevalence (%) were estimated. Prescriptions for medications, concomitant diagnoses, and acute mental health service use for 2016-2018 were evaluated. RESULTS: There were 7,677 youths with DMDD and 6,480 youths with BPD identified. Mean age (13-15 years) and ethnicity were similar for both groups. A rise in new treatment episode rates (0.87-1.75 per 1,000 patient-years, p < .0001) and treated prevalence (0.08%-0.35%, p < .0001) of DMDD diagnoses (2016-2018) following diagnosis inception was paralleled by decreasing new treatment episode rates (1.22-1.14 per 1,000 patient-years, p < .01) and treated prevalence (0.42%-0.36%, p < .0001) of BPD diagnoses (2015-2018). More youth in the DMDD group were prescribed medications compared with the BPD group (81.9% vs 69.4%), including antipsychotics (58.9% vs 51.0%). Higher proportions of youth with DMDD vs youth with BPD had disruptive behavior disorders (eg, 35.9% vs 20.5% had oppositional defiant disorder), and required inpatient hospitalization related to their mental health disorder (45.0% vs 33.0%). CONCLUSION: Diagnosis of DMDD has had rapid uptake in clinical practice but is associated with increased antipsychotic and polypharmacy prescriptions and higher rates of comorbidity and inpatient hospitalization in youth with a DMDD diagnosis compared with a BPD diagnosis.

Diagnosis and surgical delays in African American and white women with early-stage breast cancer.

BACKGROUND: Delays in diagnosis and treatment for breast cancer may contribute to excess deaths among African Americans. We examined racial differences in delays in diagnosis and surgical treatment for early-stage breast cancer and evaluated race-specific predictors associated with delay. METHODS: A retrospective cohort study was conducted among 634 African American and white women diagnosed with invasive breast cancer between 2005 and 2010 in New Jersey. Detailed medical-chart abstraction and patient interviews were undertaken. Time intervals were calculated from symptom recognition to diagnosis (diagnosis delay) and from diagnosis to first operation (surgical delay). Binomial regression models were used to examine racial differences in delay and factors associated with ≥2 months delay in the overall population and stratified by race. Reasons responsible for diagnosis delay were also examined by race. RESULTS: Compared to white women, African American women experienced significantly higher risk of ≥2 months delay in diagnosis and surgical treatment (adjusted relative risks=1.44 (1.12-1.86) and 3.08 (1.88-5.04), respectively). For the African Americans, predictors of diagnosis delay included mode of detection, insurance, and tumor size; for whites, mode of detection and tumor grade. Surgical delay was associated with operation type and education among African Americans but with operation type and tumor size for whites. Patient-related factors were commonly noted as reasons for diagnosis delay. CONCLUSIONS: These findings emphasize the need to raise further awareness, especially among African American patients and their providers, of the importance of prompt evaluation and treatment of breast abnormalities. Research on effective ways to accomplish this is needed.

Role of preoperative magnetic resonance imaging in the surgical management of early-stage breast cancer.

PURPOSE: To examine the role of preoperative magnetic resonance imaging (pMRI) on time to surgery and rates of reoperation and contralateral prophylactic mastectomy (CPM) using a population-based study of New Jersey breast cancer patients. METHODS: The study included 289 African-American and 320 white women who participated in the Breast Cancer Treatment Disparity Study and underwent breast surgery for newly diagnosed early-stage breast cancer between 2005 and 2010. Patients were identified through rapid case ascertainment by the New Jersey State Cancer Registry. Association between pMRI and time to surgery was examined by using linear regression and, with reoperation and CPM, by using binomial regression. RESULTS: Half (49.9 %) of the study population received pMRI, with higher use for whites compared with African-Americans (62.5 vs. 37.5 %). After adjusting for potential confounders, patients with pMRI versus those without experienced significantly longer time to initial surgery [geometric mean = 38.7 days; 95 % confidence interval (CI) 34.8-43.0; vs. 26.5 days; 95 % CI 24.3-29.0], a significantly higher rate of CPM [relative risk (RR) = 1.82; 95 % CI 1.06-3.12], and a nonsignificantly lower rate of reoperation (RR = 0.76; 95 % CI 0.54-1.08). CONCLUSIONS: Preoperative MRI was associated with significantly increased time to surgery and a higher rate of CPM, but it did not affect the rate of reoperation. Physicians and patients should consider these findings when making surgical decisions on the basis of pMRI findings.

Effect of air pollution control on mortality and hospital admissions in Ireland.

During the 1980s the Republic of Ireland experienced repeated severe pollution episodes. Domestic coal burning was a major source of this pollution. In 1990 the Irish government introduced a ban on the marketing, sale, and distribution of coal in Dublin. The ban was extended to Cork in 1995 and to 10 other communities in 1998 and 2000. We previously reported decreases in particulate black smoke (BS*) and sulfur dioxide (SO2) concentrations, measured as total gaseous acidity, in Dublin after the 1990 coal ban (Clancy et al. 2002). In the current study we explored and compared the effectiveness of the sequential 1990, 1995, and 1998 bans in reducing community air pollution and in improving public health. We compiled records of daily BS, total gaseous acidity (SO2), and counts of cause-specific deaths from 1981 to 2004 for Dublin County Borough (1990 ban), county Cork (1995 ban), and counties Limerick, Louth, Wexford, and Wicklow (1998 ban). We also compiled daily counts of hospital admissions for cardiovascular, respiratory, and digestive diagnoses for Cork County Borough (1991 to 2004) and counties Limerick, Louth, Wexford, and Wicklow (1993 to 2004). We compared pre-ban and post-ban BS and SO2 concentrations for each city. Using interrupted time-series methods, we estimated the change in cause-specific, directly standardized mortality rates in each city or county after the corresponding local coal ban. We regressed weekly age- and sex-standardized mortality rates against an indicator of the post- versus pre-ban period, adjusting for influenza epidemics, weekly mean temperature, and a season smooth of the standardized mortality rates in Coastal counties presumably not affected by the bans. We compared these results with similar analyses in Midlands counties also presumably unaffected by the bans. We also estimated the change in cause-specific, directly standardized, weekly hospital admissions rates normalized for underreporting in each city or county after the 1995 and 1998 bans, adjusting for influenza epidemics, weekly mean temperature, and local admissions for digestive diagnoses. Mean BS concentrations fell in all affected population centers post-ban compared with the pre-ban period, with decreases ranging from 4 to 35 microg/m3 (corresponding to reductions of 45% to 70%, respectively), but we observed no clear pattern in SO2 measured as total gaseous acidity associated with the bans. In comparisons with the pre-ban periods, no significant reduction was found in total death rates associated with the 1990 (1% reduction), 1995 (4% reduction), or 1998 (0% reduction) bans, nor for cardiovascular mortality (0%, 4%, and 1% reductions for the 1990, 1995, and 1998 bans, respectively). Respiratory mortality was reduced in association with the bans (17%, 9%, and 3%, respectively). We found a 4% decrease in hospital admissions for cardiovascular disease associated with the 1995 ban and a 3% decrease with the 1998 ban. Admissions for respiratory disease were not consistently lower after the bans; admissions for pneumonia, chronic obstructive pulmonary disease (COPD), and asthma were reduced. However, underreporting of hospital admissions data and lack of control and comparison series tempered our confidence in these results. The successive coal bans resulted in immediate and sustained decreases in particulate concentrations in each city or town; with the largest decreases in winter and during the heating season. The bans were associated with reductions in respiratory mortality but no detectable improvement in cardiovascular mortality. The changes in hospital admissions for respiratory and cardiovascular disease were supportive of these findings but cannot be considered confirming. Detecting changes in public health indicators associated even with clear improvements in air quality, as in this case, remains difficult when there are simultaneous secular improvements in the same health indicators.

Hepatitis B vaccination coverage levels among healthcare workers in the United States, 2002-2003.

BACKGROUND: Hepatitis B virus (HBV) infection is a well recognized risk for healthcare workers (HCWs), and routine vaccination of HCWs has been recommended since 1982. By 1995, the level of vaccination coverage among HCWs was only 67%. OBJECTIVE: To obtain an accurate estimate of hepatitis B vaccination coverage levels among HCWs and to describe the hospital characteristics and hepatitis B vaccination policies associated with various coverage levels. DESIGN: Cross-sectional survey. METHODS: A representative sample of 425 of 6,116 American Hospital Association member hospitals was selected to participate, using probability-proportional-to-size methods during 2002-2003. The data collected included information regarding each hospital's hepatitis B vaccination policies. Vaccination coverage levels were estimated from a systematic sample of 25 HCWs from each hospital whose medical records were reviewed for demographic and vaccination data. The main outcome measure was hepatitis B vaccination coverage levels. RESULTS: Among at-risk HCWs, 75% had received 3 or more doses of the hepatitis B vaccine, corresponding to an estimated 2.5 million vaccinated hospital-based HCWs. The coverage level was 81% among staff physicians and nurses. Compared with nurses, coverage was significantly lower among phlebotomists (71.1%) and nurses' aides and/or other patient care staff (70.9%; P<.05). Hepatitis B vaccination coverage was highest among white HCWs (79.5%) and lowest among black HCWs (67.6%; P<.05). Compared with HCWs who worked in hospitals that required vaccination only of HCWs with identified risk for exposure to blood or other potentially infectious material, hepatitis B vaccination coverage was significantly lower among HCWs who worked in hospitals that required vaccination of HCWs without identified risk for exposure to blood or other potentially infectious material (76.6% vs 62.4%; P<.05). CONCLUSIONS: In the United States, an estimated 75% of HCWs have been vaccinated against hepatitis B. Important differences in coverage levels exist among various demographic groups. Hospitals need to identify methods to improve hepatitis B vaccination coverage levels and should consider developing targeted vaccination programs directed at unvaccinated, at-risk HCWs who have frequent or potential exposure to blood or other potentially infectious material.

Promoting informed decisions about cancer screening in communities and healthcare systems.

Individuals are increasingly involved in decisions about their health care. Shared decision making (SDM), an intervention in the clinical setting in which patients and providers collaborate in decision making, is an important approach for informing patients and involving them in their health care. However, SDM cannot bear the entire burden for informing and involving individuals. Population-oriented interventions to promote informed decision making (IDM) should also be explored. This review provides a conceptual background for population-oriented interventions to promote informed decisions (IDM interventions), followed by a systematic review of studies of IDM interventions to promote cancer screening. This review specifically asked whether IDM interventions (1) promote understanding of cancer screening, (2) facilitate participation in decision making about cancer screening at a level that is comfortable for individuals; or (3) encourage individuals to make cancer-screening decisions that are consistent with their preferences and values.Fifteen intervention arms met the intervention definition. They used small media, counseling, small-group education, provider-oriented strategies, or combinations of these to promote IDM. The interventions were generally consistent in improving individuals' knowledge about the disease, accuracy of risk perceptions, or knowledge and beliefs about the pros and cons of screening and treatment options. However, few studies evaluated whether these interventions resulted in individuals participating in decision making at a desirable level, or whether they led to decisions that were consistent with individuals' values and preferences. More research is needed on how best to promote and facilitate individuals' participation in health care. Work is especially needed on how to facilitate participation at a level desired by individuals, how to promote decisions by patients that are consistent with their preferences and values, how to perform effective and cost-effective IDM interventions for healthcare systems and providers and in community settings (outside of clinical settings), and how to implement these interventions in diverse populations (such as populations that are older, nonwhite, or disadvantaged). Finally, work is needed on the presence and magnitude of barriers to and harms of IDM interventions and how they might be avoided.