Case Identification and Characterization of Autistic Young Adults in 2010 Medicare Fee-for-Service Claims.

Background: Medicare is a public insurer for whom many autistic adults are eligible in the United States, but little is known about autistic beneficiaries who are covered. A challenge in using claim data is identification of autism spectrum disorder (ASD) cases to ensure accurate characterization. Some work suggests that relying on one claim could identify probable ASD, although other works indicate that two claims are necessary for case identification. The purpose of the current study was to describe the sample of Medicare young adult beneficiaries, and determine whether using a 1+ versus 2+ claim case identification resulted in similar interpretation of sample demographic characteristics and primary care utilization patterns in Medicare professional service claims. Methods: We used Medicare Limited Data Sets (2008-2010) claims. After ASD case identification using ICD-9-CM (299.xx), 527 unique beneficiaries in the last claim year of 2010 professional service file were identified as having at least one claim of ASD. Of these, 69% (n = 364) had two or more claims. Proportions and zero-inflated negative binomial regression were used to examine differences in demographic characteristics and primary care utilization and costs for the 1+ and 2+ samples. Results: Medicare claims contain a sample of autistic adults with expected demographics identified in historic prevalence cohorts. No differences in age, gender, race/ethnicity, Hispanic status, or dual-eligibility months or Adjusted Clinical Groups (ACG)® concurrent risk scores were identified between the 1+ and 2+ samples. No difference was found in the overall estimation of primary care use or costs between the 1+ and 2+ samples based on Zellner's seemingly unrelated regression methods. Conclusions: This study is the first to describe a national sample of Medicare-insured autistic adults. We found that using a 1+ case identification results in a sample that is demographically similar to a 2+ claim sample, and produces similar estimates of utilization as a 2+ claim sample.

Alopecia due to high androgen index contraceptives.

Adverse reactions to hormonal contraceptives are a common patient concern. Alopecia, an adverse reaction to androgen activity caused by the progestin component of hormonal contraceptives, can cause considerable psychosocial distress for women. This article discusses how to identify the level of androgen activity in certain progestins, how increased androgen activity can lead to hair loss, and alternatives for patients experiencing androgenic alopecia due to high androgen index contraceptives.

Preparing patients for biologic medications for dermatologic and rheumatic diseases.

Psoriasis, psoriatic arthritis, and rheumatoid arthritis are prevalent conditions that often require a team of primary care and specialist healthcare professionals for the most optimum patient outcomes. Primary care providers can facilitate referrals to dermatology and rheumatology specialists by obtaining the needed screening workup for patients who need treatment with immunosuppressive therapies. This article reviews tuberculosis screening, hepatitis screening, and vaccinations to be administered before patients begin biologic medications.

Childhood Socioeconomic Status and Stress in Late Adulthood: A Longitudinal Approach to Measuring Allostatic Load.

Objectives: This study examines how the effects of childhood socioeconomic status (SES) may carry on into late adulthood. Methods: We examine how childhood SES affects both perceived stress and allostatic load, which is a cumulative measure of the body's biologic response to chronic stress. We use the National Social Life, Health, and Aging Project, Waves 1 and 2, and suggest a novel method of incorporating a longitudinal allostatic load measure. Results: Individuals who grew up in low SES households have higher allostatic load scores in late adulthood, and this association is mediated mostly by educational attainment. Discussion: The longitudinal allostatic load measure shows similar results to the singular measures and allows us to include 2 time points into one outcome measure. Incorporating 2 separate time points into one measure is important because allostatic load is a measure of cumulative physiological dysregulation, and longitudinal data provide a more comprehensive measure.

Exploring Black-White Differences in the Relationship Between Inflammation and Timing of Menopause.

Understanding the biosocial context of menopausal timing offers insight into social and health inequalities. Prior research on inflammatory chronic conditions suggests that inflammation may predict how early women experience menopause. We explore the ability of black race to moderate the overall relationship between chronic inflammation and timing of menopause. We use data from the National Social Life, Health, and Aging Project on inflammation, age of last menstruation, and race as well as relevant social and medical covariates. We conduct event history modeling to predict age at menopause by inflammatory biomarker levels. Using interaction analysis, we investigate whether being black may shape the overall relationship between inflammation status and menopause timing. Our analyses find no significant statistical interactions between black race and inflammation in predicting menopausal onset. However, we do identify independent correlational relationships between inflammation and black race (r = 0.136) and between menopausal timing and black race (r = -0.129) as well as inflammation (r = -0.138) that emerge as significant in corresponding regression models. We conclude that race probably does not moderate associations between inflammation and menopause. Yet, we also note that the original parameter estimate for black race's impact on menopausal onset (HR = 1.29, p < 0.05) becomes non-significant in a model that includes inflammation (HR = 1.06, p < 0.01). To translate our findings into policy and practice implications, we present alternate conceptualizations of black-white disparity in the inflammation-menopause relationship and recommend future research using mediation modeling.

Does Inflammation Mediate Relationships Between Racial Identity and Onset of Menopause Among US Adults?

We assess how well differences in ethnoracial background may predict timing of menopause among females in the USA and whether or not inflammatory biomarker levels appear to mediate these overall associations. We use data from the National Social Life, Health, and Aging Project (NSHAP) to model apparent net effects from race on menopausal onset, as well as possible mediating influences from the inflammatory biomarker C-reactive protein (CRP). Using continuous time event history analysis, we assess and frame overall relationships between race and menopausal age. We use structural equation modeling to assess potential mediating effects from CRP and to estimate direct and indirect components of these apparent effects. Our findings suggest that on average, black females experience menopause earlier than their peers of other racial backgrounds, and have higher inflammatory biomarker levels. Both black race and higher CRP have negative and significant direct associations with menopausal age. CRP appears to partially mediate the overall association between black race and earlier menopause. This apparent mediation persists with statistical controls for income, education, and body mass index. Our study concludes with recommendations for future research on racial identity, inflammation, and menopausal onset. We focus our recommendations on intersectional forms of inequality that may affect black females in later life.

Mediation analysis of relationships between chronic inflammation and quality of life in older adults.

BACKGROUND: This article summarizes exploratory analyses of relationships between chronic inflammation, its physical consequences, and quality of life (QoL). It summarizes key findings from preliminary analyses, and contextualizes these results with extant sociomedical literature to recommend directions for future research. METHODS: Cross-sectional data from the National Social Life, Health, and Aging Project (NSHAP) were used to explore these relationships. Inflammation was assessed via the biomarker C-reactive protein (CRP). We examined associations between CRP levels and two different domains of QoL: happiness with life in general and happiness with intimate relationships. We used ordinal logistic regression with companion OLS models and Sobel-Goodman tests to assess potential mediation, and also conducted a variety of sensitivity analyses. RESULTS: Findings suggest that mediation pathways for the overall association between chronic inflammation and QoL may differ markedly across particular outcome constructs. Specifically, it shows mediation potential for the clinical sequelae of chronic inflammation in frameworks using happiness as an outcome measure, but not in those using relationship satisfaction. Disability appears to mediate the effect of inflammation by 27 %; chronic pain appears to exert a similar mediation effect of 21 %. CONCLUSIONS: Pain and disability linked to chronic inflammation appear to play a small but significant mediating role in the overall reduction in QoL observed among older adults with biomarker evidence of chronic inflammation. We note that these patterns are best framed as dynamic elements of a complex causal fabric, rather than powerful determinants that override other factors contributing to QoL. Hypotheses for further exploration using longitudinal data from the NSHAP are thus offered, pending availability of Wave III data in future years.