Use of spatial information to predict multidrug resistance in tuberculosis patients, Peru

Emerg Infect Dis. 2012 May;18(5):811-3. doi: 10.3201/eid1805.111467.

Abstract

To determine whether spatiotemporal information could help predict multidrug resistance at the time of tuberculosis diagnosis, we investigated tuberculosis patients who underwent drug susceptibility testing in Lima, Peru, during 2005-2007. We found that crude representation of spatial location at the level of the health center improved prediction of multidrug resistance.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Antitubercular Agents / pharmacology
  • Antitubercular Agents / therapeutic use*
  • Demography
  • Drug Resistance, Multiple, Bacterial*
  • Humans
  • Logistic Models
  • Peru
  • Prognosis
  • ROC Curve
  • Risk Factors
  • Tuberculosis, Multidrug-Resistant / diagnosis*
  • Tuberculosis, Multidrug-Resistant / drug therapy*

Substances

  • Antitubercular Agents