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Biologic therapies have revolutionized the treatment of immune-mediated inflammatory diseases but are associated with an increased risk of serious and opportunistic infections, including tuberculosis and nontuberculous mycobacterial disease. Despite this increased risk, the overall risk-benefit ratio remains favorable with appropriate screening and risk assessment. Further population-based studies are needed to establish the risk of tuberculosis and nontuberculous mycobacterial disease with the new biologics. This article highlights the incidence and drug-specific risk of tuberculous and nontuberculous mycobacterial infection in the setting of biologics, screening and prevention, and treatment of latent tuberculosis in this setting.The risk of JC polyomavirus encephalopathy varies among biologic classes and among agents within the same class. Of currently used biologics, the highest risk is seen with natalizumab followed by rituximab. Multiple other agents have also been implicated. Drug-specific causality is difficult to establish because many patients receive multiple immunomodulatory medications concomitantly or sequentially, and have other immunocompromising factors related to their underlying disease. As use of biologic therapies continues to expand, further research is needed into pathogenesis, treatment, and prevention of JC polyomavirus encephalopathy such that risk for its development is better understood and mitigated, if not eliminated altogether.Herpesviruses such as herpes simplex virus (HSV) type 1 and 2, varicella-zoster virus (VZV), and cytomegalovirus (CMV) maintain lifelong latency in the host after primary infection and can reactivate periodically either as asymptomatic viral shedding or as clinical disease. Immunosuppression, including biologic therapy, may increase frequency and severity of herpesvirus reactivation and infection. Licensed biologics are reviewed regarding their risks of potentiating HSV, VZV, and CMV reactivation and infection. Approaches to prophylaxis against HSV, VZV, and CMV infection or reactivation are discussed.The recognition of the role of complement and Janus kinase (JAK)-dependent cytokines in the pathogenesis of inflammatory and immune-mediated disorders has revolutionized the treatment of a myriad of rheumatological and inflammatory diseases. C5 inhibitors and Janus kinase inhibitors have emerged as attractive therapeutic options. Because of the blockage of immune pathways, these targeted therapies carry an increased risk of infection. This article reviews the mechanism of action and the approved and off-label indications of the agents with most clinical experience within this drug classes. It discusses the associated risks of infection, proposing screening, prevention, and risk mitigation strategies.Tyrosine kinase inhibitors represent the standard of care for several diseases and drug targets in hematologic malignancies. Infectious complications vary by disease status and prior therapy, but overall incidence of infections generally is low. In chronic diseases, such as chronic myeloid leukemia and chronic lymphocytic leukemia, patients can remain on tyrosine kinase inhibitor therapy for many years, with few infectious complications from therapy. Bruton tyrosine kinase inhibitors overall are well tolerated in lymphoproliferative disorders, with long-term follow-up of many years in patients with chronic lymphocytic leukemia. Although opportunistic infections have been reported, they are uncommon and routine prophylaxis is not recommended.Co-stimulatory T-cell inhibitors are used in the treatment of rheumatoid arthritis and to prevent rejection of renal transplants. Inhibitors of the intereukin (IL-17) cytokine are indicated for psoriasis, psoriatic arthritis and ankylosing spondylitis and anti- IL-23 drugs for psoriasis. Serious infections occur in 4.2% to 25.0% of co-stimulatory inhibitors and 1.0% to 2.0% with IL-17 or IL-23 inhibitors. Underlying disease, steroid dose greater than 7.5 to 10.0 mg, and comorbidities influence risk in individual patients. Opportunistic infections or reactivation of tuberculosis are rare.Introduction The Behavioral Risk Factor Surveillance System (BRFSS) is composed of telephone surveys that collect state data from non-institutionalized U.S. adults regarding health-related risk behaviors and chronic health conditions. A new design was implemented in 2011 to include participants on cellular telephones. It is important to validate estimates since 2011. Methods A total of 10 key and widely used variables between BRFSS and the National Health and Nutrition Examination Survey (NHANES) or National Health Interview Survey (NHIS) in 2011-2016 were compared. Data analysis was conducted in 2018. Results Between BRFSS and NHANES, similar linear time trends of prevalences or means were found for 8 of 9 studied variables. There were no significant differences in the prevalences of the following variables self-reported fair/poor health, ever told have diabetes, and ever told to have hypertension. In trend comparison of BRFSS versus NHIS, interactions of prevalence between survey and time period were not found for 5 variables current smoking, self-reported fair/poor health, ever told have diabetes, and self-reported height and weight. Although there were significant differences in many estimates between BRFSS and either NHANES or NHIS, the absolute differences across years were rather small. Conclusions Comparing BRFSS time trends with those of 2 national benchmark surveys in 10 key and widely used variables suggests that the trends of prevalences (or means) from BRFSS, NHANES, and NHIS are mostly similar. For many variables, despite statistically significant differences in the prevalences (or means) between surveys, absolute differences in most cases were small and not meaningful from a public health surveillance perspective.Context Rural communities face unique challenges including fewer healthcare providers and restricted access to nutritious foods, likely leading to poor health outcomes. find more Community health coalitions are groups of local organizations partnering to address local health needs. Employing such coalitions is one strategy for implementing policy-system-environment changes for improving rural health. However, their success is variable without standardized evaluation. In this review, rural community health coalitions were retrospectively assessed using the W.K. Kellogg Foundation Logic Model. Community health coalition-reported pathways through this model were explored using market basket analysis. Evidence acquisition During Spring 2018, PubMed, Web of Science, ScienceDirect, CINAHL, and PsycINFO were searched for (coalition) AND (rural) AND (health) AND (effectiveness OR impact OR outcome OR logic model). Full-text, peer-reviewed, English articles meeting PICOS criteria (Population, rural communities; Intervention, presence of a community health coalition; Comparator, the coalition over time; Outcomes, logic model pathways) were reviewed.
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