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Using latent class analysis to identify clinical features of patients with occlusive myocardial infarction: Preangiogram prediction remains difficult.

Charles KnoeryKatie A McEwanMatthew ManktelowJonathan WattJamie SmithAleeha IftikharKhaled RjoobRaymond R BondVictoria McgilliganAaron PeaceAnne McShaneJanet HeatonStephen J Leslie
Published in: Clinical cardiology (2022)
Features between OMI and STEMI are broadly very similar. However, there was no difference in age and risk of cerebrovascular disease in the OMI/non-OMI group. There are no reliable characteristics therefore for identifying OMI versus non-OMI. Delays to treatment also suggest that OMI patients are still missing out on optimal treatment. An alternative strategy is required to improve the identification of OMI patients.
Keyphrases
  • end stage renal disease
  • newly diagnosed
  • chronic kidney disease
  • prognostic factors
  • peritoneal dialysis
  • heart failure
  • left ventricular
  • acute coronary syndrome