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From: HubMed - cancer <rssfwd@rssfwd.com>
Date: Sat, Jun 28, 2008 at 4:00 PM
Subject: Derivation and internal validation of a rule to predict hospital admission in prehospital patients.
To: mesothelioma77@gmail.com
[1]Prehosp Emerg Care. 2008 Jul-Sep; 12(3): 314-9
Meisel ZF, Pollack CV, Mechem CC, Pines JM
Objective. To derive and internally validate a simple prediction rule, using routinely collected prehospital patient data, that discriminates between hospital admission and emergency department (ED) discharge for adult patients who arrive by ambulance. Methods. We performed a retrospective cohort study of consecutive adult nontrauma patients transported to two separate EDs over two months by a city-run emergency medical services (EMS) system. We tested whether specific prehospital variables could predict hospital admission using chi-square tests, logistic regression, and receiver-operating characteristic curves. We created a rule to predict the probabilities of hospital admission for individual patients. Results. Of 401 patients, the mean age was 47 years; 60% were black and 32% were white; 51% were female; and 33% were admitted to an inpatient service after evaluation in the ED. Independent predictors of admission were dyspnea (adjusted odds ratio [OR] 6.8; awarded 3 points), chest pain (OR 5.2; 3 points), and dizziness, weakness, or syncope (OR 3.5; 2 points). Also predictive were age >/=60 years (OR 5.5; 3 points) and the prehospital identification of a history of diabetes (OR 1.9; 1 point) or cancer (OR 3.9; 2 points). Patients who had a score of 5 or higher had a greater than 69% chance of being admitted to an inpatient unit. Conclusion. Routinely collected EMS patient information can help predict hospital admission for certain ED patients.
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Source: http://www.hubmed.org/display.cgi?uids=18584498
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From: HubMed - cancer <rssfwd@rssfwd.com>
Date: Sat, Jun 28, 2008 at 4:00 PM
Subject: Derivation and internal validation of a rule to predict hospital admission in prehospital patients.
To: mesothelioma77@gmail.com
[1]Prehosp Emerg Care. 2008 Jul-Sep; 12(3): 314-9
Meisel ZF, Pollack CV, Mechem CC, Pines JM
Objective. To derive and internally validate a simple prediction rule, using routinely collected prehospital patient data, that discriminates between hospital admission and emergency department (ED) discharge for adult patients who arrive by ambulance. Methods. We performed a retrospective cohort study of consecutive adult nontrauma patients transported to two separate EDs over two months by a city-run emergency medical services (EMS) system. We tested whether specific prehospital variables could predict hospital admission using chi-square tests, logistic regression, and receiver-operating characteristic curves. We created a rule to predict the probabilities of hospital admission for individual patients. Results. Of 401 patients, the mean age was 47 years; 60% were black and 32% were white; 51% were female; and 33% were admitted to an inpatient service after evaluation in the ED. Independent predictors of admission were dyspnea (adjusted odds ratio [OR] 6.8; awarded 3 points), chest pain (OR 5.2; 3 points), and dizziness, weakness, or syncope (OR 3.5; 2 points). Also predictive were age >/=60 years (OR 5.5; 3 points) and the prehospital identification of a history of diabetes (OR 1.9; 1 point) or cancer (OR 3.9; 2 points). Patients who had a score of 5 or higher had a greater than 69% chance of being admitted to an inpatient unit. Conclusion. Routinely collected EMS patient information can help predict hospital admission for certain ED patients.
___
Source: http://www.hubmed.org/display.cgi?uids=18584498
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