Researchers analysed administrative data on cardiac patients test the Cardiac-Specific Comorbidity Index to help predict death both in-hospital and within one year in a group.
Researchers analysed administrative data on cardiac patients test the Cardiac-Specific Comorbidity Index to help predict death both in-hospital and within one year in a group.

New cardiac index outperforms current tools in predicting death after admission

ANI | Updated: Mar 18, 2019 15:32 IST

Washington D.C. [USA], Mar 18 (ANI): A new tool has been devised for heart disease patients that is better at predicting death after hospital admission vis-a-vis current indexes.
Dr Marc Jolicoeur, Montreal Heart Institute, Université de Montréal, Montréal, Quebec, said: "This cardiac-specific tool or index to predict death outperforms current general indexes used to predict death.”
The study has been published in the Canadian Medical Association Journal (CMAJ).
"The other available tools are good for all patients, but we developed one that is better, specifically for cardiac patients."
Current indexes already exist to help predict the likelihood of death and are widely used in clinical settings, although these are not disease-specific, and accuracy for patients with cardiac issues has not been widely investigated.
Researchers analysed administrative data on cardiac patients admitted to the Montreal Heart Institute to create and test an index, the Cardiac-Specific Comorbidity Index, to help predict death both in-hospital and within one year in a group.
They then tested the index in a group of almost 19,000 cardiac patients in Alberta. Their cardiac-specific comorbidity index outperformed both the Charlson-Deyo comorbidity index and the Elixhauser comorbidity index.
"Estimating risk is important for patients and their families, as well as policy-makers, to help them monitor outcomes at various hospitals and guide decisions," said Dr Jolicoeur.
"With this tool, patients at high risk can be flagged, and appropriate care can be taken to manage their condition," he said.
Most importantly, this tool was derived and validated in Canada and will, therefore, be suitable for use by Canadian researches, administrators and decision-makers. (ANI)

iocl