New cardiac index outperforms current tools in predicting death after admission

ANI 

A new tool has been devised for patients that is better at predicting death after hospital admission vis-a-current indexes.

Dr Marc Jolicoeur, Heart Institute, Universite de Montreal, Montreal, Quebec, said: "This or index to predict death outperforms current general indexes used to predict death."

"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 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 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 and will, therefore, be suitable for use by Canadian researches, administrators and decision-makers.

(This story has not been edited by Business Standard staff and is auto-generated from a syndicated feed.)

First Published: Mon, March 18 2019. 15:31 IST