Clinical assessments as predictors of one year survival after hospitalization: Implications for prognostic stratification☆,☆☆
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2016, European Journal of Internal MedicineCitation Excerpt :A number of other scores also based solely on physical examination, but that also include functional status have recently been reported [13–15]. In addition to severity of illness and functional capacity, co-morbid conditions are also known to influence patient outcome [16]. The impact of presenting complaints on patient outcome has only recently been studied [17], with few reports from sub-Saharan Africa.
The intermountain risk score predicts incremental age-specific long-term survival and life expectancy
2011, Translational ResearchCitation Excerpt :Although those prognostic scores achieved areas under the receiver operator characteristic curve of c = 0.68–0.84, IMRS is equal or better with areas under the curve of c = 0.83–0.90 in prior work1 and by age decade herein with c = 0.80–0.88 for patients up to 70 years old. Uniquely, IMRS can be run in almost any medical facility in the world, unlike other risk scores6-9 that require data that are not routinely collected in clinical practice. IMRS can be applied in tertiary-care academic centers and can be used in underserved regions, rural areas, and developing countries where more advanced diagnostic tests are not available and where physicians with advanced specialized training may not be present.
Who will be sicker in the morning? Changes in the Simple Clinical Score the day after admission and the subsequent outcomes of acutely ill unselected medical patients
2011, European Journal of Internal MedicineCitation Excerpt :The Simple Clinical Score (SCS) accurately predicts the risk of death over 30 days [1]. The score identifies severity of illness, functional status and co-morbid conditions — the three factors recognized as the major determinants of mortality [2]. Independent external validation has confirmed that it has an area under the receiver operator characteristic curve (AUROC) of 85% for the prediction of in-hospital mortality [3,4].
Physical activity in multimorbid patients
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This paper was developed during a study funded by Contract Number 240-84-0057 awarded by the Bureau of Health Professions, Health Resources and Services Administration, Rockville, MD 20857. The conclusions presented do not necessarily represent those of the Federal Government.
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Presented in part at the national meeting of the American Federation for Clinical Research, Washington, D.C., 1986.
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Dr Charlson is a Henry J. Kaiser Family Foundation Faculty Scholar in General Internal Medicine.