Biomaterial Database

Prognostic scoring for critically ill hospitalized patients. 1999

G Ahluwalia, and J N Pande, and S K Sharma

Department of Medicine, All India Institute of Medical Sciences, New Delhi.

The objective of the study was to validate and refine the APACHE II (acute physiology and chronic health evaluation II) prognostic system in the Indian context. We prospectively collected data on 79 patients admitted in the medical intensive care unit. We have studied APACHE II and 11 other physiological variables and sought to improve the risk prediction by developing a new score to be governed by the rule of thumb at the bed side. The new score included the following five variables: pH and serum albumin at admission and heart rate, bilirubin and Glasgow coma scale at 48 hours. A score below 3.5 was independently associated with a statistically significant increase in the risk of hospital death. This model resulted in a pseudo r2 of 0.43 in comparison to pseudo r2 of 0.02 and 0.12 for APACHE II scores on the day of admission and after 48 hours, respectively.

UI	MeSH Term	Description	Entries
D008297	Male		Males
D008875	Middle Aged	An adult aged 45 - 64 years.	Middle Age
D011379	Prognosis	A prediction of the probable outcome of a disease based on a individual's condition and the usual course of the disease as seen in similar situations.	Prognostic Factor,Prognostic Factors,Factor, Prognostic,Factors, Prognostic,Prognoses
D011446	Prospective Studies	Observation of a population for a sufficient number of persons over a sufficient number of years to generate incidence or mortality rates subsequent to the selection of the study group.	Prospective Study,Studies, Prospective,Study, Prospective
D005260	Female		Females
D006801	Humans	Members of the species Homo sapiens.	Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D015331	Cohort Studies	Studies in which subsets of a defined population are identified. These groups may or may not be exposed to factors hypothesized to influence the probability of the occurrence of a particular disease or other outcome. Cohorts are defined populations which, as a whole, are followed in an attempt to determine distinguishing subgroup characteristics.	Birth Cohort Studies,Birth Cohort Study,Closed Cohort Studies,Cohort Analysis,Concurrent Studies,Historical Cohort Studies,Incidence Studies,Analysis, Cohort,Cohort Studies, Closed,Cohort Studies, Historical,Studies, Closed Cohort,Studies, Concurrent,Studies, Historical Cohort,Analyses, Cohort,Closed Cohort Study,Cohort Analyses,Cohort Studies, Birth,Cohort Study,Cohort Study, Birth,Cohort Study, Closed,Cohort Study, Historical,Concurrent Study,Historical Cohort Study,Incidence Study,Studies, Birth Cohort,Studies, Cohort,Studies, Incidence,Study, Birth Cohort,Study, Closed Cohort,Study, Cohort,Study, Concurrent,Study, Historical Cohort,Study, Incidence
D016015	Logistic Models	Statistical models which describe the relationship between a qualitative dependent variable (that is, one which can take only certain discrete values, such as the presence or absence of a disease) and an independent variable. A common application is in epidemiology for estimating an individual's risk (probability of a disease) as a function of a given risk factor.	Logistic Regression,Logit Models,Models, Logistic,Logistic Model,Logistic Regressions,Logit Model,Model, Logistic,Model, Logit,Models, Logit,Regression, Logistic,Regressions, Logistic
D016638	Critical Illness	A disease or state in which death is possible or imminent.	Critically Ill,Critical Illnesses,Illness, Critical,Illnesses, Critical
D018806	APACHE	An acronym for Acute Physiology and Chronic Health Evaluation, a scoring system using routinely collected data and providing an accurate, objective description for a broad range of intensive care unit admissions, measuring severity of illness in critically ill patients.	Acute Physiology and Chronic Health Evaluation,APACHE I,APACHE II,APACHE III

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