Elizabeth A Draper
Biographic Data
| ID | 5538616 |
|---|---|
| NAME | Elizabeth A Draper |
| GIVEN NAMES | Elizabeth A |
| FAMILY NAME | Draper |
| SIGNATURE | DRAPER E A |
| AFFILIATIONS | Washington University Medical Center |
| VERIFIED | No |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 4 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1983 |
| LATEST PUBLICATION YEAR | 1994 |
| H-INDEX | 1 |
The Performance of Intensive Care Units
A significant portion of health care resources are spent in intensive care units with, historically, up to two-fold variation in risk-adjusted mortality. Technological, demographic, and social forces are likely to lead to an increased volume of intensive care in the future. Thus, it is important to identify ways of more efficiently managing intensive care units and reducing the variation in patient outcomes. Based on data collected from 17,440 pa…
Apache Ii
This paper presents the form and validation results of APACHE II, a severity of disease classification system. APACHE II uses a point score based upon initial values of 12 routine physiologic measurements, age, and previous health status to provide a general measure of severity of disease. An increasing score (range 0 to 71) was closely correlated with the subsequent risk of hospital death for 5815 intensive care admissions from 13 hospitals. Thi…
Statistical validation of a severity of illness measure
This paper provides statistical detail on the predictive power of a new severity of illness scale--APACHE (Acute Physiology and Chronic Health Evaluation)--on 833 consecutive medical admissions to an intensive care unit (ICU). In a multivariate logistic regression analysis of routine physiologic and other data obtained within 24 hours of ICU admission, severity of illness and age were significantly (p less than .0001) related to survival. Using t…
Identification of Low-Risk Monitor Patients Within a Medical-Surgical Intensive Care Unit
We studied the hospital course of 1148 consecutive intensive care unit (ICU) admissions to test the feasibility of identifying patients suitable for early transfer. Based on the type of treatment each admission received during the initial 16 hours in ICU, we divided the patients into active treatment or monitored categories. Which of the 513 monitored admissions received active treatment before discharge was analyzed with a multivariate logistic …
Statistical validation of a severity of illness measure
This paper provides statistical detail on the predictive power of a new severity of illness scale--APACHE (Acute Physiology and Chronic Health Evaluation)--on 833 consecutive medical admissions to an intensive care unit (ICU). In a multivariate logistic regression analysis of routine physiologic and other data obtained within 24 hours of ICU admission, severity of illness and age were significantly (p less than .0001) related to survival. Using t…
Statistical validation of a severity of illness measure
This paper provides statistical detail on the predictive power of a new severity of illness scale--APACHE (Acute Physiology and Chronic Health Evaluation)--on 833 consecutive medical admissions to an intensive care unit (ICU). In a multivariate logistic regression analysis of routine physiologic and other data obtained within 24 hours of ICU admission, severity of illness and age were significantly (p less than .0001) related to survival. Using t…
Identification of Low-Risk Monitor Patients Within a Medical-Surgical Intensive Care Unit
We studied the hospital course of 1148 consecutive intensive care unit (ICU) admissions to test the feasibility of identifying patients suitable for early transfer. Based on the type of treatment each admission received during the initial 16 hours in ICU, we divided the patients into active treatment or monitored categories. Which of the 513 monitored admissions received active treatment before discharge was analyzed with a multivariate logistic …
Apache Ii
This paper presents the form and validation results of APACHE II, a severity of disease classification system. APACHE II uses a point score based upon initial values of 12 routine physiologic measurements, age, and previous health status to provide a general measure of severity of disease. An increasing score (range 0 to 71) was closely correlated with the subsequent risk of hospital death for 5815 intensive care admissions from 13 hospitals. Thi…
The Performance of Intensive Care Units
A significant portion of health care resources are spent in intensive care units with, historically, up to two-fold variation in risk-adjusted mortality. Technological, demographic, and social forces are likely to lead to an increased volume of intensive care in the future. Thus, it is important to identify ways of more efficiently managing intensive care units and reducing the variation in patient outcomes. Based on data collected from 17,440 pa…
Medicine (4 works) · Emergency Medicine (3 works) · Intensive care medicine (3 works) · Intensive care unit (3 works) · Internal Medicine (3 works) · Severity of illness (3 works) · APACHE II (2 works) · Emergency and Acute Care Studies (2 works) · Emergency Medicine (2 works) · Intensive care (2 works)