Implementation of a mortality prediction rule for real‐time decision making: Feasibility and validity. Issue 11 (11th August 2014)
- Record Type:
- Journal Article
- Title:
- Implementation of a mortality prediction rule for real‐time decision making: Feasibility and validity. Issue 11 (11th August 2014)
- Main Title:
- Implementation of a mortality prediction rule for real‐time decision making: Feasibility and validity
- Authors:
- Cowen, Mark E.
Czerwinski, Jennifer L.
Posa, Patricia J.
Van Hoek, Elizabeth
Mattimore, James
Halasyamani, Lakshmi K.
Strawderman, Robert L. - Abstract:
- <abstract abstract-type="main"> <title> <x xml:space="preserve">Abstract</x> </title> <sec id="jhm2250-sec-0001" sec-type="section"> <title>BACKGROUND</title> <p>A previously published, retrospectively derived prediction rule for death within 30 days of hospital admission has the potential to launch parallel interdisciplinary team activities. Whether or not patient care improves will depend on the validity of prospectively generated predictions, and the feasibility of generating them on demand for a critical proportion of inpatients.</p> </sec> <sec id="jhm2250-sec-0002" sec-type="section"> <title>OBJECTIVE</title> <p>To determine the feasibility of generating mortality predictions on admission and to validate their accuracy using the scoring weights of the retrospective rule.</p> </sec> <sec id="jhm2250-sec-0003" sec-type="section"> <title>DESIGN</title> <p>Prospective, sequential cohort.</p> </sec> <sec id="jhm2250-sec-0004" sec-type="section"> <title>SETTING</title> <p>Large, tertiary care, community hospital in the Midwestern United States</p> </sec> <sec id="jhm2250-sec-0005" sec-type="section"> <title>PATIENTS</title> <p>Adult patients admitted from the emergency department or scheduled for elective surgery</p> </sec> <sec id="jhm2250-sec-0006" sec-type="section"> <title>RESULTS</title> <p>Mortality predictions were generated on demand at the beginning of the hospitalization for 9312 (92.9%) out of a possible 10, 027 cases. The area under the receiver operating curve<abstract abstract-type="main"> <title> <x xml:space="preserve">Abstract</x> </title> <sec id="jhm2250-sec-0001" sec-type="section"> <title>BACKGROUND</title> <p>A previously published, retrospectively derived prediction rule for death within 30 days of hospital admission has the potential to launch parallel interdisciplinary team activities. Whether or not patient care improves will depend on the validity of prospectively generated predictions, and the feasibility of generating them on demand for a critical proportion of inpatients.</p> </sec> <sec id="jhm2250-sec-0002" sec-type="section"> <title>OBJECTIVE</title> <p>To determine the feasibility of generating mortality predictions on admission and to validate their accuracy using the scoring weights of the retrospective rule.</p> </sec> <sec id="jhm2250-sec-0003" sec-type="section"> <title>DESIGN</title> <p>Prospective, sequential cohort.</p> </sec> <sec id="jhm2250-sec-0004" sec-type="section"> <title>SETTING</title> <p>Large, tertiary care, community hospital in the Midwestern United States</p> </sec> <sec id="jhm2250-sec-0005" sec-type="section"> <title>PATIENTS</title> <p>Adult patients admitted from the emergency department or scheduled for elective surgery</p> </sec> <sec id="jhm2250-sec-0006" sec-type="section"> <title>RESULTS</title> <p>Mortality predictions were generated on demand at the beginning of the hospitalization for 9312 (92.9%) out of a possible 10, 027 cases. The area under the receiver operating curve for 30‐day mortality was 0.850 (95% confidence interval: 0.833‐0.866), indicating very good to excellent discrimination. The prospectively generated 30‐day mortality risk had a strong association with the receipt of palliative care by hospital discharge, in‐hospital mortality, and 180‐day mortality, a fair association with the risk for 30‐day readmissions and unplanned transfers to intensive care, and weak associations with receipt of intensive unit care ever within the hospitalization or the development of a new diagnosis that was not present on admission (ie, complication).</p> </sec> <sec id="jhm2250-sec-0007" sec-type="section"> <title>CONCLUSIONS</title> <p>Important prognostic information is feasible to obtain in a real‐time, single‐assessment process for a sizeable proportion of hospitalized patients. <italic>Journal of Hospital Medicine</italic> 2014;9:720–726. © 2014 Society of Hospital Medicine</p> </sec> </abstract> … (more)
- Is Part Of:
- Journal of hospital medicine. Volume 9:Issue 11(2014)
- Journal:
- Journal of hospital medicine
- Issue:
- Volume 9:Issue 11(2014)
- Issue Display:
- Volume 9, Issue 11 (2014)
- Year:
- 2014
- Volume:
- 9
- Issue:
- 11
- Issue Sort Value:
- 2014-0009-0011-0000
- Page Start:
- 720
- Page End:
- 726
- Publication Date:
- 2014-08-11
- Subjects:
- Hospital care -- Periodicals
Clinical medicine -- Periodicals
610 - Journal URLs:
- http://www3.interscience.wiley.com/cgi-bin/jtoc/111081937 ↗
https://www.journalofhospitalmedicine.com/jhospmed/issues ↗
https://shmpublications.onlinelibrary.wiley.com/journal/15535606 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/jhm.2250 ↗
- Languages:
- English
- ISSNs:
- 1553-5592
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5003.298000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 3251.xml