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1.
N Engl J Med ; 373(13): 1195-206, 2015 Sep 24.
Artigo em Inglês | MEDLINE | ID: mdl-26214039

RESUMO

BACKGROUND: A candidate tetravalent dengue vaccine is being assessed in three clinical trials involving more than 35,000 children between the ages of 2 and 16 years in Asian-Pacific and Latin American countries. We report the results of long-term follow-up interim analyses and integrated efficacy analyses. METHODS: We are assessing the incidence of hospitalization for virologically confirmed dengue as a surrogate safety end point during follow-up in years 3 to 6 of two phase 3 trials, CYD14 and CYD15, and a phase 2b trial, CYD23/57. We estimated vaccine efficacy using pooled data from the first 25 months of CYD14 and CYD15. RESULTS: Follow-up data were available for 10,165 of 10,275 participants (99%) in CYD14 and 19,898 of 20,869 participants (95%) in CYD15. Data were available for 3203 of the 4002 participants (80%) in the CYD23 trial included in CYD57. During year 3 in the CYD14, CYD15, and CYD57 trials combined, hospitalization for virologically confirmed dengue occurred in 65 of 22,177 participants in the vaccine group and 39 of 11,089 participants in the control group. Pooled relative risks of hospitalization for dengue were 0.84 (95% confidence interval [CI], 0.56 to 1.24) among all participants, 1.58 (95% CI, 0.83 to 3.02) among those under the age of 9 years, and 0.50 (95% CI, 0.29 to 0.86) among those 9 years of age or older. During year 3, hospitalization for severe dengue, as defined by the independent data monitoring committee criteria, occurred in 18 of 22,177 participants in the vaccine group and 6 of 11,089 participants in the control group. Pooled rates of efficacy for symptomatic dengue during the first 25 months were 60.3% (95% CI, 55.7 to 64.5) for all participants, 65.6% (95% CI, 60.7 to 69.9) for those 9 years of age or older, and 44.6% (95% CI, 31.6 to 55.0) for those younger than 9 years of age. CONCLUSIONS: Although the unexplained higher incidence of hospitalization for dengue in year 3 among children younger than 9 years of age needs to be carefully monitored during long-term follow-up, the risk among children 2 to 16 years of age was lower in the vaccine group than in the control group. (Funded by Sanofi Pasteur; ClinicalTrials.gov numbers, NCT00842530, NCT01983553, NCT01373281, and NCT01374516.).


Assuntos
Vacinas contra Dengue/imunologia , Dengue/prevenção & controle , Hospitalização/estatística & dados numéricos , Adolescente , Criança , Pré-Escolar , Dengue/epidemiologia , Vacinas contra Dengue/efeitos adversos , Vírus da Dengue/classificação , Feminino , Seguimentos , Humanos , Incidência , Estimativa de Kaplan-Meier , Masculino , Sorogrupo , Vacinas Atenuadas/efeitos adversos , Vacinas Atenuadas/imunologia
2.
Sex Transm Dis ; 39(10): 799-806, 2012 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-23001268

RESUMO

BACKGROUND: The prevalence of HIV and sexually transmitted infections among men who have sex with men (MSM) has increased substantially in Vietnam. This study aimed to estimate the prevalence of HIV, syphilis, urethral gonorrhoea, and urethral chlamydia, and determined correlates of HIV infection among MSM in An Giang, Vietnam. METHODS: A group of 381 MSM were recruited in a community-based cross-sectional survey between August and December 2009. Face-to-face interviews were conducted for collecting data on sociodemographics, behaviors, and access to HIV prevention programs. Serological tests for HIV and syphilis and polymerase chain reaction for gonorrhoea/chlamydia were performed. Multivariate regression analyses were used to investigate the correlates of HIV infection. RESULTS: The prevalence of HIV, syphilis, gonorrhoea, chlamydia, and gonorrhoea/chlamydia were 6.3%, 1.3%, 1.8%, 3.2%, and 4.7%, respectively. HIV prevalence among 63 injecting MSM was significantly higher than that of 318 noninjectors (20.6% vs. 3.5%, P < 0.001). Approximately 40.4% identified as heterosexual and 42.8% had ever had sex with females. The rate of unprotected anal intercourse with another male in the last month was substantially high (75.3%). Injecting drugs (adjusted prevalence ratio [aPR] = 2.88, 95% confidence interval [CI]: 1.12-7.42), being transgender (aPR = 4.27, 95% CI, 1.17-15.57), and unprotected sex with a female sex worker (aPR = 4.88, 95% CI: 1.91-12.50) were significantly associated with HIV infection. The infection risk increased with age to a peak of 25 years and then decreased. CONCLUSIONS: Although prevalence levels are lower in An Giang, Vietnam than in some other comparable locations, HIV/sexually transmitted infections prevention, and sexual health promotion targeting MSM are highly important in this location.


Assuntos
Infecções por Chlamydia/epidemiologia , Gonorreia/epidemiologia , Infecções por HIV/epidemiologia , Homossexualidade Masculina/estatística & dados numéricos , Comportamento Sexual/estatística & dados numéricos , Sífilis/epidemiologia , Doenças Uretrais/epidemiologia , Adolescente , Adulto , Estudos Transversais , Infecções por HIV/microbiologia , Humanos , Masculino , Prevalência , Fatores de Risco , Inquéritos e Questionários , Doenças Uretrais/microbiologia , Vietnã/epidemiologia , Adulto Jovem
3.
PeerJ ; 10: e13163, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-35578674

RESUMO

The exploration of drug-target interactions (DTI) is an essential stage in the drug development pipeline. Thanks to the assistance of computational models, notably in the deep learning approach, scientists have been able to shorten the time spent on this stage. Widely practiced deep learning algorithms such as convolutional neural networks and recurrent neural networks are commonly employed in DTI prediction projects. However, they can hardly utilize the natural graph structure of molecular inputs. For that reason, a graph neural network (GNN) is an applicable choice for learning the chemical and structural characteristics of molecules when it represents molecular compounds as graphs and learns the compound features from those graphs. In an effort to construct an advanced deep learning-based model for DTI prediction, we propose Deep Neural Computation (DeepNC), which is a framework utilizing three GNN algorithms: Generalized Aggregation Networks (GENConv), Graph Convolutional Networks (GCNConv), and Hypergraph Convolution-Hypergraph Attention (HypergraphConv). In short, our framework learns the features of drugs and targets by the layers of GNN and 1-D convolution network, respectively. Then, representations of the drugs and targets are fed into fully-connected layers to predict the binding affinity values. The models of DeepNC were evaluated on two benchmarked datasets (Davis, Kiba) and one independently proposed dataset (Allergy) to confirm that they are suitable for predicting the binding affinity of drugs and targets. Moreover, compared to the results of baseline methods that worked on the same problem, DeepNC proves to improve the performance in terms of mean square error and concordance index.


Assuntos
Hipersensibilidade , Redes Neurais de Computação , Humanos , Algoritmos , Benchmarking , Desenvolvimento de Medicamentos
4.
Parasit Vectors ; 6: 6, 2013 Jan 11.
Artigo em Inglês | MEDLINE | ID: mdl-23312018

RESUMO

BACKGROUND: Jars, tanks, and drums provide favorable rearing/breeding sites for Aedes aegypti in Vietnam. However, the use of insecticides to control mosquitoes at such breeding sites has not been approved in Vietnam since they are also often sources of drinking water, making larval vector control difficult. Mosquito nets pre-treated with long-lasting insecticide treated nets (LLITNs) form an effective measure for malaria control. We examined changes in the abundance of immature Aedes aegypti to evaluate the efficacy of covering ceramic jars with lids comprising one type of LLITN, Olyset® Net, in inhibiting oviposition by adult females, and to evaluate the effect of treating other breeding containers, such as flower vases, inside and around the outside of houses with a slow-release pyriproxyfen formulation to kill pupae. METHODS: We selected 313 households for the trial and 363 households for the control in Tan Chanh, Long An province, Vietnam. In the trial area, Olyset® Net lids were used to cover five major types of water container (ceramic jars, cylindrical concrete tanks, other concrete tanks, plastic drums, and plastic buckets), while pyriproxyfen was used to treat flower vases and ant traps. We also monitored dengue virus transmission by measuring anti-dengue IgM and IgG levels in healthy residents in both control and trial areas to estimate the effectiveness of Olyset® Net at controlling the dengue vector, Aedes aegypti. RESULTS: The container-index and house-index for immature Ae. aegypti fell steeply one month after treatment in the trial area. Lids with Olyset® Net that fit container openings clearly seemed to reduce the presence of immature Ae. aegypti as the density of pupae decreased 1 month after treatment in the trial area. Pyriproxyfen was also effective at killing pupae in the water containers in the trial area. Although the dengue seroconversion rate was not influenced by Olyset® Net, it was lower in two-five year old children when compared to older children and adults in both control and trial areas. CONCLUSIONS: Our study showed that the treatment by Olyset® Net and pyriproxyfen had a strong negative effect on the prevalence of immature Ae. aegypti, which persisted for at least 5 months after treatment.


Assuntos
Aedes/crescimento & desenvolvimento , Dengue/prevenção & controle , Insetos Vetores/crescimento & desenvolvimento , Mosquiteiros Tratados com Inseticida/estatística & dados numéricos , Controle de Mosquitos/métodos , Piridinas/administração & dosagem , Adolescente , Animais , Anticorpos Antivirais/sangue , Criança , Pré-Escolar , Dengue/epidemiologia , Dengue/transmissão , Feminino , Humanos , Imunoglobulina G/sangue , Imunoglobulina M/sangue , Lactente , Masculino , Estudos Soroepidemiológicos , Vietnã/epidemiologia
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