RESUMO
In July 2017, fever and sepsis developed in 3 recipients of solid organs (1 heart and 2 kidneys) from a common donor in the United States; 1 of the kidney recipients died. Tularemia was suspected only after blood cultures from the surviving kidney recipient grew Francisella species. The organ donor, a middle-aged man from the southwestern United States, had been hospitalized for acute alcohol withdrawal syndrome, pneumonia, and multiorgan failure. F. tularensis subsp. tularensis (clade A2) was cultured from archived spleen tissue from the donor and blood from both kidney recipients. Whole-genome multilocus sequence typing indicated that the isolated strains were indistinguishable. The heart recipient remained seronegative with negative blood cultures but had been receiving antimicrobial drugs for a medical device infection before transplant. Two lagomorph carcasses collected near the donor's residence were positive by PCR for F. tularensis subsp. tularensis (clade A2). This investigation documents F. tularensis transmission by solid organ transplantation.
Assuntos
Francisella tularensis , Transplante de Órgãos/efeitos adversos , Tularemia/epidemiologia , Tularemia/transmissão , Doadores de Sangue , Feminino , Pesquisas sobre Atenção à Saúde , Transplante de Coração/efeitos adversos , História do Século XXI , Humanos , Transplante de Rim/efeitos adversos , Masculino , Pessoa de Meia-Idade , Vigilância de Evento Sentinela , Doadores de Tecidos , Tularemia/etiologia , Tularemia/históriaRESUMO
CONTEXT: Cardiometabolic abnormalities underlie many health risks associated with obesity. OBJECTIVE: We determined the relationship between cardiometabolic abnormalities, sociodemographic characteristics, and modifiable risk factors among adults in Southern Nevada. DESIGN: We included 2415 participants older than 20 years from the Behavioral Risk Factor Surveillance System surveys conducted in 2011, 2013, and 2015 in Southern Nevada. Cardiometabolic abnormalities were assessed on the combined basis of blood pressure, cholesterol, and diabetes status. Logistic regression stratified by body mass index status was used to examine cardiometabolic abnormalities in different body mass index classes. MAIN OUTCOME MEASURE: Odds ratio estimates for cardiometabolic abnormalities after accounting for sociodemographic and health behavior characteristics. RESULTS: Cardiometabolic abnormalities followed a socioeconomic gradient, although adjustment for lifestyle variables attenuated the associative link. Non-Hispanic black (vs white) race did not elevate cardiometabolic abnormalities risk among nonobese adults, yet conferred a multivariable-adjusted odds ratio of 2.18 (95% confidence interval [CI], 1.03-4.61) among obese adults. By comparison, odds of cardiometabolic abnormalities among nonobese adults were 2.42 (95% CI, 0.99-5.92) times higher for Hispanics and 2.83 (95% CI, 1.23-6.55) times higher for other or multiracial minorities. Among obese adults, male gender (odds ratio: 1.84; 95% CI, 1.03-3.27) and former (odds ratio: 2.09; 95% CI, 1.14-3.85) smoker status were associated with cardiometabolic abnormalities independent of other covariates. CONCLUSIONS: The present data support intervention strategies tailored to reinforce and promote positive health behaviors among disadvantaged groups. There were variable patterns of ethnic group disparities in clustered cardiometabolic abnormalities across body mass index classes. Targeted prevention approaches incorporating an explicit health equity perspective may help mitigate observed differences.
Assuntos
Doenças Cardiovasculares/epidemiologia , Doenças Metabólicas/epidemiologia , Obesidade/epidemiologia , Fatores Sociológicos , Adulto , Idoso , Sistema de Vigilância de Fator de Risco Comportamental , Índice de Massa Corporal , Escolaridade , Feminino , Humanos , Renda/estatística & dados numéricos , Modelos Logísticos , Masculino , Pessoa de Meia-Idade , Nevada/epidemiologia , Razão de Chances , Grupos Raciais/estatística & dados numéricos , Fatores de Risco , Inquéritos e QuestionáriosRESUMO
BACKGROUND: Despite today's heightened concern over opioid overdose, the lack of population-based data examining clinical and contextual factors associated with opioid use represents a knowledge gap with relevance to prevention and treatment interventions. We sought to quantify rates of emergency department (ED) visits and inpatient hospitalizations for harmful opioid effects and their sociodemographic differentials as well as clinical correlates in Southern Nevada, using ED visit and hospital inpatient discharge records from 2011 to 2013. METHODS: Cases were identified by ICD-9-CM diagnosis codes for opioid poisoning and opioid-type drug dependence and abuse as well as poisoning and adverse effect E-codes. Comorbid conditions, including pain-related diagnoses, major chronic diseases, affective disorders, sleep disorders, sexually transmitted infections and viral hepatitis were assessed from all available diagnosis fields. Counts by age-race per zip code were modeled by negative binomial regression. Opioid injuries were further examined as a function both of neighborhood income and individual characteristics, with mixed-effects logistic regression to estimate the likelihood for an adverse outcome. RESULTS: Opioid intoxications and comorbidities were more common in low-income communities. The multivariable-adjusted rate for opioid-related healthcare utilization was 42 % higher in the poorest vs. richest quartile during the study period. The inter-quartile (quartile 1 vs. 4) rate increases for chronic bodily pains (44 %), hypertension (89 %), renal failure/diabetes (2.6 times), chronic lower respiratory disease (2.2 times), and affective disorders (57 %) were statistically significant. Chronic disease comorbidity was greater among non-Hispanic blacks, whereas abuse/dependence related disorders, alcohol or benzodiazepine co-use, chronic bodily pains, and affective disorders were more prevalent among non-Hispanic whites than nonwhites. CONCLUSIONS: There were consistent patterns of disparities in healthcare utilization across sociodemographic groups for opioid-associated disorders. Further initiatives to evaluate the determinants of overdose and abuse and to implement targeted response efforts are needed.