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Nepali doctor at Harvard helps to improve ICU mortality prediction

Bisundev Mahato, a native of Lahan, Nepal and a Harvard Anesthesiologist, Sadeq A Quraishi teamed up and developed a concept and design for a study to be based on Massachusetts General Hospital (MGH) patients.
Photo Courtesy: gs.columbia.edu
By Republica

Bisundev Mahato, a native of Lahan, Nepal and a Harvard Anesthesiologist, Sadeq A Quraishi teamed up and developed a concept and design for a study to be based on Massachusetts General Hospital (MGH) patients.


They further teamed with five other scholars and physicians, including an emergency doctor and an epidemiologist and studied 310 ICU patients and found that vitamin D levels significantly improved the mortality predictive capability of an existing model.


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Nepali doc at Harvard helps to improve ICU mortality prediction


It is also thought to be less labor intensive and cheaper than the existing alternatives. The current popular ICU mortality prediction model is not only labor intensive and expensive but takes at least 24 hours after a patient is admitted to the ICU to come up with the prediction.


This delay severely limits its value in the care planning and clinical decision making of the patient. The method that Mahato purposes comes up with a comparable mortality prediction score at the time of admission, instead of 24 hour later.

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