Novel population health tool for predicting ICU survivorship and mortality in older adults

NewsGuard 100/100 Score

A significant obstacle to improving care and outcomes for intensive care unit (ICU) patients is the unexpected nature of becoming seriously ill. Which groups of patients are likely to become severely ill and will they survive their ICU stay?

In a first step in creating infrastructure for further studies to identify and follow cohorts of patients who may become critically ill, researchers including Sikandar Khan, D.O, M.S., of Regenstrief Institute and Indiana University School of Medicine, have developed and conducted initial testing of the Prediction Risk Score. Harnessing information available in a health system's electronic health records, this novel population health tool enables health systems and researchers to better identify groups of patients at risk of being admitted to an ICU in the future and their potential outcomes. ICU survivors are at risk for ICU-acquired cognitive and physical function impairments and may require extensive post-ICU care.

Because the growing population of middle-age individuals is equally at risk for poor health outcomes as older patients, the researchers developed the scoring system to identify at-risk patients as young as age 50.

Our Risk Prediction Score tool is designed to be used by health systems and researchers so they can engage with adults in a certain population -- perhaps those with certain specific health issues or those living in a specific geographic area -- who may be at higher risk of ICU admission and higher or lower risk of ICU survival. The good news is that if researchers are able to identify populations likely to become future ICU patients using the Prediction Risk Score, they may be able to enroll patients in these populations in studies earlier, and health systems may be able to develop new programs and new models of care for at-risk populations to improve the outcomes of individual patients in and after the ICU.

Currently we have imprecise tools to identify which groups of patients will become severely ill. This study presents the first step in creating infrastructure for further research by us and others to identify and follow cohorts of patients who may become critically ill and ultimately to improve their outcomes."

Dr. Sikandar Khan, D.O, M.S., of Regenstrief Institute and Indiana University School of Medicine

"Development of a population-level prediction model for intensive care unit (ICU) survivorship and mortality in older adults: A population-based cohort study" is published in the peer-reviewed journal Health Science Reports. The study was supported by the National Institutes of Health's National Institute on Aging.

Regenstrief Institute authors, in addition to Dr. Sikandar Khan are Malaz Boustani, M.D., MPH, and co-senior author Babar Khan, M.D., M.S.

Source:
Journal reference:

Khan, S., et al. (2023). Development of a population‐level prediction model for intensive care unit (ICU) survivorship and mortality in older adults: A population‐based cohort study. Health Science Reports. doi.org/10.1002/hsr2.1634.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Research confirms no association between SARS-CoV-2 and childhood asthma diagnoses