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Anil K Taneja

Publications and source records attributed to Anil K Taneja.

4 recordsLinked to original sources

The pathologic basis of Q-wave and non-Q-wave myocardial infarction: a cardiovascular magnetic resonance study.

OBJECTIVES: The purpose of this study was to determine the pathologic basis of Q-wave (QW) and non-Q-wave (NQW) myocardial infarction (MI). BACKGROUND: The QW/NQW distinction remains in wide clinical use but the meaning of the difference remains controversial. We hypothesized that measurement of total MI size and transmural extent by late gadolinium enhancement cardiovascular magnetic resonance (CMR) would identify the pathologic basis of QWs. METHODS: A total of 100 consecutive patients with documented previous MI had electrocardiogram and CMR on the same day. Patients with acute MI within seven days were excluded. Left ventricular function and the size and transmural extent of MI were quantified in the three major arterial territories and correlated with the presence of QW. RESULTS: Subendocardial MI showed QW in 28%. Transmural MI showed NQW in 29%. Of all MIs, 48% were at some point transmural, and 99% of these were at some point non-transmural. As MI size and number of transmural segments increased, the probability of QW increased (anterior: total size chi-square = 53, p < 0.0001, transmural extent chi-square = 36, p < 0.0001; inferior: total size chi-square = 16, p = 0.001, transmural extent chi-square = 10, p = 0.001). These findings did not hold for lateral MI. In a multivariate model, the transmural extent of MI was not an independent predictor of QW when total size of MI was removed. The QW/NQW classification was a good test for size of MI (area under receiver operating characteristic curve: anterior 0.90, inferior 0.77). CONCLUSIONS: The QW/NQW distinction is useful, but it is determined by the total size rather than transmural extent of underlying MI.

Adult↗

Mortality following non-ST elevation acute coronary syndrome: 4 years follow-up of the PRAIS UK Registry (Prospective Registry of Acute Ischaemic Syndromes in the UK).

AIM: To present information on long-term prognosis and risk factors following an admission with non-ST elevation acute coronary syndrome. METHODS: A cohort of 653 patients was followed for mortality and causes of death using data from the UK Office of National Statistics (ONS). Cox proportional hazards model was used to identify the prognostic factors. RESULTS: Overall survival at a maximum follow-up of 45 months was 77.8% (95% CI 74.1-81.1%). Seventy-three per cent of the deaths were clearly due to a cardiovascular cause. Age, male gender, heart failure, ST depression or bundle branch block were all associated with higher short- and long-term risk. Taking aspirin or having a revascularization procedure, over the period of six months following initial hospitalisation were both associated with a lower long-term risk. CONCLUSION: Non-ST elevation acute coronary syndromes carry a high risk of death over a 4-year period. Conventional risk factors can predict both short- and long-term risk. More invasive management and the use of evidence-based therapies appear to be associated with a lower risk.

Adult↗