critical care • prediction tool • chronic critically ill • organ donor • prolonged mechanical ventilation
My research focuses on risk prediction in the intensive care unit (ICU). I am specifically looking at prediction tools for complex populations in the ICU, including the chronic critically ill and the potential organ donor.
Predicting time to death after withdrawal of life-sustaining therapy. Munshi L, Dhanani S, Shemie SD, Hornby L, Gore G, Shahin J. Intensive Care Med. 2015 Jun;41(6):1014-28. doi: 10.1007/s00134-015-3762-9. Epub 2015 May 6. PMID: 25944573.
Is the volume of mechanically ventilated admissions to UK critical care units associated with improved outcomes? Shahin J, Harrison DA, Rowan KM. Intensive Care Med. 2014 Mar;40(3):353-60. doi: 10.1007/s00134-013-3205-4. Epub 2014 Feb 7. PMID: 24504638.
Suspected ventilator-associated respiratory infection in severely ill patients: a prospective observational study. Shahin J, Bielinski M, Guichon C, Flemming C, Kristof AS. Crit Care. 2013 Oct 22;17(5):R251. doi: 10.1186/cc13077. PMID: 24148702.
Relation between volume and outcome for patients with severe sepsis in United Kingdom: retrospective cohort study. Shahin J, Harrison DA, Rowan KM. BMJ. 2012 May 29;344:e3394. doi: 10.1136/bmj.e3394. PMID: 22645208.
The relationship between inotrope exposure, six-hour postoperative physiological variables, hospital mortality and renal dysfunction in patients undergoing cardiac surgery. Shahin J, DeVarennes B, Tse CW, Amarica DA, Dial S.Crit Care. 2011 Jul 7;15(4):R162. doi: 10.1186/cc10302. PMID: 21736726.