Identification of Novel Serodiagnostic Signatures of Typhoid Fever Using a Salmonella Proteome Array

Current diagnostic tests for typhoid fever, the disease caused by Salmonella Typhi, are poor. We aimed to identify serodiagnostic signatures of typhoid fever by assessing microarray signals to 4,445 S. Typhi antigens in sera from 41 participants challenged with oral S. Typhi. We found broad, heterogeneous antibody responses with increasing IgM/IgA signals at diagnosis. In down-selected 250-antigen arrays we validated responses in a second challenge cohort (n = 30), and selected diagnostic signatures using machine learning and multivariable modeling. In four models containing responses to antigens including flagellin, OmpA, HlyE, sipC, and LPS, multi-antigen signatures discriminated typhoid (n = 100) from other febrile bacteremia (n = 52) in Nepal. These models contained combinatorial IgM, IgA, and IgG responses to 5 antigens (ROC AUC, 0.67 and 0.71) or 3 antigens (0.87), although IgA responses to LPS also performed well (0.88). Using a novel systematic approach we have identified and validated optimal serological diagnostic signatures of typhoid fever.

Efficacy of pacemaker tachycardia termination algorithms: is electrophysiological testing alone adequate?

Selection of an optimal pacemaker tachycardia reversion algorithm is generally performed utilizing programmed electrical stimulation (PES). Multiple tachycardias are induced and various tachycardia termination protocols are tested for reversion success. However, PES may induce nonclinical tachycardia and result in an inaccurate assessment of subsequent reversion effectiveness for spontaneous tachycardia. To investigate this question, we compared tachycardia reversion protocol success for PES-induced tachycardia versus spontaneously occurring tachycardia in 16 patients with atrially placed Intermedics 262-12 antitachycardia pacemakers. The pacemaker has tachycardia response counters, and the reversion success was calculated from these counters. This was performed by comparing the percent of time 1 degree versus 2 degrees modality use occurred; crossover to the 2 degrees modality implied failure of the 1 degree modality to convert the tachycardia. PES was used to induce multiple episodes of tachycardia and spontaneous episodes of tachycardia were recorded over time by pacemaker counters. The pacemaker 1 degree modality success was then compared for spontaneous and induced arrhythmias.

RESULTS

A total of 53 discrete data comparisons of PES versus spontaneous tachycardia counters were performed in the 16 patients. PES reversion success occurred 85% +/- 22% of the time versus a spontaneous reversion success of 88% +/- 22%. However, the Spearman rank correlation coefficient test demonstrated nonsignficant overall correlation (P < 0.01), and Pearson correlation on an individual patient basis varied widely (r value from < 0.1 to 1.0).

CONCLUSIONS

When utilizing the same termination algorithm, the percentage conversion of tachycardias occurring spontaneously and induced by PES is similar but does not correlate well overall. This suggests that PES may not be a good linear predictor of the long-term success of antitachycardia pacing algorithms.

Computer probability estimates of angiographic coronary artery disease: transportability and comparison with cardiologists' estimates

A computer algorithm for estimating probabilities of any significant coronary obstruction and triple vessel/left main obstructions was derived, validated, and compared with the assessments of cardiac clinician angiographers. The algorithm performed at least as well as the clinicians when the latter knew the identity of the patients whose angiograms they had decided to perform. The clinicians were more accurate when they did not know the identity of the subjects but worked from tabulated objective data. Referral and value induced bias may affect physician judgment in assessing disease probability. Application of computer aids or consultation with cardiologists not directly involved with patient management may assist in more rational assessments and decision making.

Effects of exercise test results on physician perceptions of coronary artery disease probability using a threshold analysis

The incremental diagnostic value of exercise electrocardiographic testing compared with clinical data alone in the diagnosis of coronary artery disease (CAD) was found to be of limited value in a previous study. That study used a computer algorithm for diagnosing disease. Thus, the strict use of the results apply only to computerized disease diagnosis rather than physicians' diagnoses. The aim of the present study was to determine whether exercise test data improve a physician's ability to detect the presence or absence of CAD and 3-vessel or left main CAD, and whether the data effect the decision to perform angiography. The study sample comprised a data base of 312 patients whose clinical data, exercise test results and coronary anatomy were known. Individual cases were presented to 8 cardiologists with and without exercise data. The cardiologists provided estimates of disease probability and were asked whether they would request coronary angiography. Receiver-operating characteristic curves and goodness-of-fit analysis showed better discrimination and calibration of the estimates for the presence of CAD and 3-vessel/left main CAD after exercise test results were known. Individualized probability thresholds for deciding whether to request angiography were determined for each physician. Forty-three percent of patients crossed greater than or equal to 1 threshold, with 64% of the crossings in the correct direction. For estimating the presence of any CAD, 84% of crossings from below to above a threshold were correct, whereas only 36% from above to below were correct. For 3-vessel/left main CAD, 36% of crossings from below to above a threshold were correct, whereas 88% from above to below were correct.(ABSTRACT TRUNCATED AT 250 WORDS)