Novel Models to Identify Census Tracts for Hepatitis C Screening Interventions.

BACKGROUND: Increased screening efforts and the development of effective antiviral treatments have led to marked improvement in hepatitis C (HCV) patient outcomes. However, many people in the United States are still believed to have undiagnosed HCV. Geospatial modeling using variables representing at-risk populations in need of screening for HCV and social determinants of health (SDOH) provide opportunities to identify populations at risk of HCV. METHODS: A literature review was conducted to identify variables associated with patients at risk for HCV infection. Two sets of variables were collected: HCV Transmission Risk and SDOH Level of Need. The variables were combined into indices for each group and then mapped at the census tract level (n = 233). Multiple linear regression analysis and the Pearson correlation coefficient were used to validate the models. RESULTS: A total of 4 HCV Transmission Risk variables and 12 SDOH Level of Need variables were identified. Between the 2 indexes, 21 high-risk census tracts were identified that scored at least 2 standard deviations above the mean. The regression analysis showed a significant relationship with HCV infection rate and prevalence of drug use (B = 0.78, P < .001). A significant relationship also existed with the HCV infection rate for households with no/limited English use (B = -0.24, P = .001), no car use (B = 0.036, P < .001), living below the poverty line (B = 0.014, P = .009), and median household income (B = -0.00, P = .009). CONCLUSIONS: Geospatial models identified high-priority census tracts that can be used to map high-risk HCV populations that may otherwise be unrecognized. This will allow future targeted screening and linkage-to-care interventions for patients at high risk of HCV.

A Rare Presentation of Stage IV Large Cell Neuroendocrine Carcinoma of the Cervix with Metastasis to the Cranium.

Neuroendocrine tumors (NETs) are aggressive diseases developing from neuroendocrine cells that most frequently involve the gastro-entero-pancreatic tract and the lung, but more rarely are found in almost all body tissues. Limited biological and clinical data are currently available for NETs in uncommon sites, such as female genital tract. NETs represent 0.9% to 1.5% of the tumors of the uterine cervix. This case is reported on a 75-year-old Caucasian woman, presenting with dental and generalized pain for two weeks. Later during her admission, facial droop and diplopia were noticed. Radiological findings ruled out cerebrovascular accident but revealed multiple bone marrow lesions involving the left and the right clivus, right Meckel's cave, and posterior margin of the right cavernous sinus. Findings also included pulmonary nodules and adenopathy supporting diagnosis of likely stage IV metastatic carcinoma. Further imaging revealed homogeneous enhancement of the uterus suggestive of diffusely infiltrative carcinoma; pathology results confirmed large cell neuroendocrine carcinoma of the uterine cervix (LCNEC) giving her a 1.5-month median survival range.

Obesity and asthma: pathophysiology and implications for diagnosis and management in primary care.

The effects of obesity on asthma diagnosis, control, and exacerbation severity are increasingly recognized; however, the underlying pathophysiology of this association is poorly understood. Mainstream clinical practice has yet to adopt aggressive management of obesity as a modifiable risk factor in asthma care, as is the case with a risk factor like tobacco or allergen exposure. This review summarizes existing data that support the pathophysiologic mechanisms underlying the association between obesity and asthma, as well as the current and future state of treatment for the obese patient with asthma. Our review suggests that evidence of chronic inflammatory response linking obesity and asthma indicates a need to address obesity during asthma management, possibly using patient-centered approaches such as shared decision making. There is a need for research to better understand the mechanisms of asthma in the obese patient and to develop new therapies specifically targeted to this unique patient population.