Reynaldo Dietze
University of Medicine and Dentistry of New Jersey
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Featured researches published by Reynaldo Dietze.
Antimicrobial Agents and Chemotherapy | 2001
Robert S. Wallis; Manijeh Phillips; John L. Johnson; Luciléia Teixeira; Lia Márcia Massini Canedo Rocha; Ethel Leonor Noia Maciel; Lynn Rose; Charles Wells; Moisés Palaci; Reynaldo Dietze; Kathleen Eisenach; Jerrold J. Ellner
ABSTRACT Mycobacterium tuberculosis antigen 85 is induced in vitro by isoniazid (INH); its sustained induction in sputum during tuberculosis (TB) therapy predicts relapse. In this trial, rifampin or rifalazil inhibited the induction of sputum antigen 85 by INH in a dose-dependent fashion. This approach may facilitate the evaluation of new TB drugs.
Journal of Epidemiology and Community Health | 2011
T N do Prado; Reynaldo Dietze; A R Netto; Eliana Zandonade; Ethel Leonor Noia Maciel
Objectives To identify the epidemiological factors related to the abandonment of TB treatment in the priority municipalities for TB control and to establish a score for use in TB control programs to identify patients most likely to abandon treatment. Methods case-control study matched by sex and notification place to compare patients who dropped out of the treatment (cases) with those who were cured (control) in eight priority municipalities for TB control in the Espirito Santo state, from January 2006 to July 2008. Patients were interviewed directly by one of the researchers, at the clinic or at home. To data analysis we performed a bivariate analysis and the significant results obtained from these analysis were for the logistic regression analysis and network neural artificial (NNA). The questionnaire score was created and validated. Results The study involved 21 cases and 41 controls. In the bivariate analysis, the epidemiological factors involved in the TB treatment dropout were identified as follows: average income, smoking, age, occupation, religion, drugs, previous treatment for TB and willingness to abandon. The logistic regression analysis and neural network revealed that the use of illicit drugs and patient without religion was strongly related to the abandonment. It was found that the neural classification was not more effective than logistic regression for the score marks preparation. Conclusions The score created was able to estimate the treatment dropout cases identified in the study and can be used in programs of TB control to identify patients most likely to abandon TB treatment.
Cad. saúde colet., (Rio J.) | 2006
Ethel Leonor Noia Maciel; Cibeli Altoé Martinato; Clissia Fabiana Rosa Bandeira; Michele da Silva Tonini; Reynaldo Dietze; Maria Cristina Ramos
Cad. saúde colet., (Rio J.) | 2006
Ethel Leonor Noia Maciel; Reynaldo Dietze; Claudio J. Struchiner
Cad. saúde colet., (Rio J.) | 2005
Ethel Leonor Noia Maciel; Carolina Seixas; Edina Pimentel de Moraes; Geisa Fregona; Reynaldo Dietze
Journal of Infection Control | 2014
David Jamil Hadad; Ana Paula David; Deborah Lacerda Brum; Lorena Rossoni Nogueira; Carolina Maia Martins Sales; Geisa Fregona; Ethel Leonor Noia Maciel; Valdério do Valle Dettoni; Rita Lecco; Renata Lyrio Peres; Tatiana Rezende Có Có Pelicão; Sthar-Mar Vasconcelos Silva; Melissa Fonseca Andrade; Lucilia Pereira Molino; Reynaldo Dietze; Moises Palaci
Archive | 2017
Edward C. Jones-López; Carlos Acuna-Villaorduna; Geisa Fregona; Patricia Marques-Rodrigues; Laura F. White; David Jamil Hadad; Lucilia Pereira Dutra-Molina; Solange Alves Vinhas; Avery I. McIntosh; Mary Gaeddert; Rodrigo Ribeiro-Rodrigues; Padmini Salgame; Moises Palaci; David Alland; Jerrold J. Ellner; Reynaldo Dietze
Archive | 2012
Kevin P. Fennelly; Carlos Gustavo Morais; David Jamil Hadad; Solange Alves Vinhas; Reynaldo Dietze
Archive | 2011
E. Miranda; Reynaldo Dietze; Ethel Leonor Noia Maciel; Thiago Nascimento do Prado; Antonio L. Caus; Murilo M. Silva; Jonathan E. Golub
Archive | 2010
Ethel Leonor; Noia Maciel; Leticia Molino Guidoni; Juliana Lopes Fávero; David Jamil Hadad; Lucilia Pereira Molino; John L. Jonhson; Reynaldo Dietze