Use of spatial information to predict multidrug resistance in TB patients

Lin HH, Shin SS, Contreras C, Asencios L, Paciorek CJ, Cohen T. 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.
  
  • Improved prediction of multidrug-resistant (MDR) TB can lead to earlier diagnosis, better treatment outcomes, and reduced transmission risk.
  • Univariable analysis identified age at diagnosis, history of TB treatment, and sputum smear–negative disease as significant risk factors for MDR TB.
  • Multivariable analysis confirmed age at diagnosis, history of TB treatment, sputum smear-negative disease, and HIV-positive status as independent predictors of MDR TB.
  • Including information about the location of diagnosis or patient residence enhanced the prediction of MDR TB among those tested.
  • Implementing less strict criteria for ordering drug susceptibility testing (DST) at health centers with a high risk of MDR TB might be a practical strategy when resources are constrained.

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