Cox proportional hazard model of the time to detection of <i>M. tuberculosis</i> bacilli on MGIT960 based on 344 patients at the Mubende referral hospital.

<p>Cox proportional hazard model of the time to detection of <i>M. tuberculosis</i> bacilli on MGIT960 based on 344 patients at the Mubende referral hospital.</p

The diagnostic algorithm chart showing the case proportions formed by clinical and diagnostic combinations with data from Mubende regional referral hospital, AUC is the area under the curve, PP = predicted probability of being TB case, TS = total number of true TB cases in each covariate pattern based on the gold standard, N = the total number of individual in a specific covariate pattern (sub-population formed by combining clinical factors), TCC = total number of TB-cases accurately classified my the model.

<p>The adjusted case predictions are made at a probability cut off P = 0.199 as established in figure 3, the broken lines shows pathways that are most likely to increase numbers of false positive cases.</p

The logistic regression model shows the diagnostic utility of using DZM within the screening algorithm in (Figure 2).

<p>Area under ROC curve (AUC) = 0.843 ^{without DZM}, 0.886^{with DZM} * Case classification with adjusted cut –off probability = 0.19 at (Sensitivity = 0.81, Specificity = 0.80).</p

Sampling and sample analysis flow chat.

<p>Sampling and sample analysis flow chat.</p

Shows factors associated with DZM false negative results.

<p>AUC = 0.84.</p

The receiver operating characteristics curve (ROC) showing the lowest cut-off probability with the highest specificity and sensitivity for the diagnostic/screening algorithm, this probability is used to adjust the case classification in figure 2.

<p>The Solid line represents DZM on its own at AUC = ∼66%, the dotted line shows the model with DZM and the three predictors at AUC = ∼ 88%.</p

Drug susceptibility profiles for DZM false negative cases at Mubende regional referral hospital, Uganda.

<p>LJ = Lowenstein-Jensen; S = streptomycin; E = Ethambutol; I = Isoniazid; R = Rifampicin: MDR-TB multi drug resistant Tuberculosis, Drug resistance r = resistant, s = susceptible.</p

Diagnostic performance of DZM&DFM against culture on LJ (gold standard) in detection of bacilli in clinical samples obtained from patients at Mubende referral hospital, Uganda.

<p>*DFM is used as the gold standard with DZM. Note that the rest of the comparison is done with Results on LJ media as the gold standard. The status (+/−) of the reference tool will be the column status while the test tool is the row. For example (DZM/DFM) = row (+/−)/col(+/−).</p

Additional file 1: of Prevalence, antimicrobial susceptibility and risk factors associated with non-typhoidal Salmonella on Ugandan layer hen farms

Questionnaire used for study data collection. (DOCX 33 kb

UPGMA phylogenic tree (MIRU-VNTR <i>plus</i>) based on spoligotype analysis and MIRU-VNTR of <i>Mycobacterium tuberculosis</i> isolates from patients at the Mubende regional referral hospital, Uganda.

<p>Standard International types (SIT), lineages and MIRU-VNTR data are presented.</p