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Full-Text Articles in Bacterial Infections and Mycoses

Evaluation Of The Diagnostic Accuracy Of Computer-Aided Detection Of Tuberculosis On Chest Radiography Among Private Sector Patients In Pakistan, Syed Mohammad Asad Zaidi, Shifa Salman Habib, Bram Van Ginneke, Rashida Abbas Ferrand, Jacob Creswell, Saira Khowaja, Aamir Khan Aug 2018

Evaluation Of The Diagnostic Accuracy Of Computer-Aided Detection Of Tuberculosis On Chest Radiography Among Private Sector Patients In Pakistan, Syed Mohammad Asad Zaidi, Shifa Salman Habib, Bram Van Ginneke, Rashida Abbas Ferrand, Jacob Creswell, Saira Khowaja, Aamir Khan

Community Health Sciences

The introduction of digital CXR with automated computer-aided interpretation, has given impetus to the role of CXR in TB screening, particularly in low resource, high-burden settings. The aim of this study was to evaluate the diagnostic accuracy of CAD4TB as a screening tool, implemented in the private sector in Karachi, Pakistan. This study analyzed retrospective data from CAD4TB and Xpert MTB/RIF testing carried out at two private TB treatment and diagnostic centers in Karachi. Sensitivity, specificity, potential Xperts saved, were computed and the receiver operator characteristic curves were constructed for four different models of CAD4TB. A total of 6,845 individuals …


Factors Associated With Month 2 Smear Non-Conversion Among Category 1 Tuberculosis Patients In Karachi, Pakistan, Kimberly A. D'Souza, Syed M A. Zaidi, Maria Jaswal, Shahid Butt, Saira Khowaja, Shifa Salman Habib, Amyn A. Malik Mar 2018

Factors Associated With Month 2 Smear Non-Conversion Among Category 1 Tuberculosis Patients In Karachi, Pakistan, Kimberly A. D'Souza, Syed M A. Zaidi, Maria Jaswal, Shahid Butt, Saira Khowaja, Shifa Salman Habib, Amyn A. Malik

Community Health Sciences

Predictors of smear non-conversion at baseline can help identify cases at risk for failure of tuberculosis treatment. Retrospective data for smear-positive Category 1 patients in Karachi, Pakistan, was analyzed. Predictors of sputum conversion were determined using multiple logistic regression with sputum conversion as outcome variable and patient demographics, baseline weight, baseline sputum smear grade, case-finding approach as explanatory variables. Age ≥35 years, baseline sputum grade of 3+ were significantly associated with predicting sputum smear positivity at month 2 of treatment. Monitoring compliance to TB treatment should be considered amongst older patients and those with a high sputum grade at baseline.