Coronavirus loss of life danger will increase for these with prior instances of pneumonia, examine suggests

Those who’ve suffered a typical lung sickness up to now could also be extra vulnerable to extreme sickness and even loss of life ought to they contract the novel coronavirus, suggests a brand new examine performed by Havard researchers. 

Using synthetic intelligence (AI) know-how to investigate the digital medical information from practically 17,000 Massachusetts General Hospital (MGH) sufferers who have been recognized with COVID-19 between March and November 2020, researchers concluded {that a} prior case of pneumonia elevated an individual’s danger of extreme sickness or loss of life from COVID-19. 

In reality, a historical past of pneumonia was named because the second-greatest total danger issue for loss of life from the novel illness, in keeping with the examine printed in NPJ Digital Medicine earlier this month. 

Age, in the meantime, was thought-about to be “by far crucial function for predicting COVD-19 mortality,” the researchers wrote. 


In sufferers between the ages of 45 to 65, prime predictors of mortality have been histories of diabetes with problems, most cancers, (specifically breast and prostate). In these ages 65 to 85, interstitial lung issues, persistent obstructive pulmonary illness (COPD), lung most cancers, and a historical past of smoking have been “robust predictors of poor outcomes,” they discovered.

Irrespective of age, different comorbidities that contributed to the next danger of loss of life or extreme sickness included persistent kidney illness, coronary heart failure, stomach aortic aneurysm, hypertension and aortic valve illness, they mentioned.

It’s necessary to notice, nevertheless, {that a} single previous case of pneumonia wouldn’t essentially put somebody at extra danger for extreme sickness or loss of life. Rather, the researchers mentioned, prior instances may point out an undiagnosed underlying situation that would put somebody extra in danger. 

“[Pneumonia’s] incorporation into the ultimate prediction mannequin was as a result of it not solely being predictive, however seemingly much less correlated with many different persistent ailments like HTN, hyperlipidemia, CAD, and age for predicting loss of life. It is feasible that the diagnostic label was a proxy for an underlying persistent lung illness,” they wrote. “These findings counsel that future research ought to examine this correlation between a earlier pneumonia analysis and elevated danger of loss of life with COVID-19.”


The researchers mentioned utilizing AI know-how to create fashions to forecast probably the most extreme COVID-19 outcomes based mostly on previous medical information, probably serving to to additional establish those that ought to be prioritized for the COVID-19 vaccines. 

“The means to rapidly make the most of information that has already been collected throughout the nation to compute individual-level danger scores is essential for successfully allocating and distributing sources, together with prioritizing vaccination among the many normal inhabitants,” mentioned Dr. Shawn Murphy, senior writer and chief analysis informatics officer at Mass General Brigham, in an announcement. 

Source hyperlink

Related Articles


Please enter your comment!
Please enter your name here

Latest Articles