Literature DB >> 10499942

Correlation of the Agency for Health Care Policy and Research congestive heart failure admission guideline with mortality: peer review organization voluntary hospital association initiative to decrease events (PROVIDE) for congestive heart failure.

L Graff1, J Orledge, M J Radford, Y Wang, M Petrillo, R Maag.   

Abstract

STUDY
OBJECTIVE: We quantify patient risk as related to the presence or absence of the Agency for Health Care Policy and Research (AHCPR) congestive heart failure (CHF) hospital admission criteria.
METHODS: This was a retrospective observational cohort study at 12 acute care hospitals examining consecutive patients with the final primary diagnosis of CHF. Trained record abstractors blinded to outcome extracted 386 data elements, including 6 AHCPR admission criteria: (1) pulmonary edema (determined by radiograph) or severe respiratory distress (respiration >40 breaths/min), (2) hypoxia (oxygen saturation <90%) not caused by pulmonary disease, (3) significant edema (>/=+2) or anasarca, (4) symptomatic hypotension (<90 mm Hg systolic blood pressure) or syncope, (5) CHF of recent onset, and (6) clinical evidence (chest pain) of myocardial ischemia. The association between admission criteria and mortality rate (30 days, 6 months, and 1 year) was quantified and risk adjusted by stepwise logistic regression analysis.
RESULTS: Of the 1,674 patients with CHF, 1,340 (80%) were admitted to the hospital. Patients not admitted had a lower mortality rate than admitted patients (30-day mortality rate, 2.1% [95% confidence interval [CI] 0.6 to 3.6] versus 11.5% [95% CI 9.8 to 13.2]; odds ratio 0.20 [95% CI 0.09 to 0.45]). Two of the admission criteria did not correlate with a higher mortality rate: CHF of recent onset and myocardial ischemia. Excluding those 2 criteria, the number of admission criteria present correlated with the patient's probability of hospital admission (P <.001), length of hospital stay (P =.014), and 30-day mortality rate (P <.0001). When zero or 1 admission criteria was present, physician clinical judgment did distinguish patients less likely to die in the subsequent 30 days (1.5% [95% CI 0.2 to 2.8] sent home versus 10.2% [95% CI 8.5 to 11.9] admitted). When 2 or more admission criteria were present, physician clinical judgment did not distinguish patients less likely to die in the subsequent 30 days (18.2% [95% CI 0 to 42.0] sent home versus 19.4% [95% CI 13.6 to 25.2] admitted).
CONCLUSION: Selected criteria of the AHCPR CHF admission guideline correlate with mortality rate. Combined with physician clinical judgment, they may be useful in the risk stratification of patients with CHF. Selected low-risk patients with CHF identified by the admission criteria who are presently managed in the acute care hospital may be candidates for outpatient management. [Graff L, Orledge J, Radford MJ, Wang Y, Petrillo M, Maag R: Correlation of the Agency for Health Care Policy and Research congestive heart failure admission guideline with mortality: Peer Review Organization Voluntary Hospital Association Initiative to Decrease Events (PROVIDE) for congestive heart failure.

Entities:  

Mesh:

Year:  1999        PMID: 10499942     DOI: 10.1016/s0196-0644(99)80043-2

Source DB:  PubMed          Journal:  Ann Emerg Med        ISSN: 0196-0644            Impact factor:   5.721


  12 in total

Review 1.  Initial management of patients with acute heart failure.

Authors:  Gregory J Fermann; Sean P Collins
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2.  Biomarker changes during acute heart failure treatment.

Authors:  Brent Boyer; Kimberly W Hart; Matthew I Sperling; Christopher J Lindsell; Sean P Collins
Journal:  Congest Heart Fail       Date:  2011-10-17

3.  ACUTE Heart Failure Risk Stratification.

Authors:  Sean P Collins; Peter S Pang
Journal:  Circulation       Date:  2019-02-26       Impact factor: 29.690

Review 4.  Is hospital admission for heart failure really necessary?: the role of the emergency department and observation unit in preventing hospitalization and rehospitalization.

Authors:  Sean P Collins; Peter S Pang; Gregg C Fonarow; Clyde W Yancy; Robert O Bonow; Mihai Gheorghiade
Journal:  J Am Coll Cardiol       Date:  2013-01-15       Impact factor: 24.094

Review 5.  The role of the emergency department in the patient with acute heart failure.

Authors:  Courtney Fay Horton; Sean P Collins
Journal:  Curr Cardiol Rep       Date:  2013-06       Impact factor: 2.931

6.  Low-risk acute heart failure patients: external validation of the Society of Chest Pain Center's recommendations.

Authors:  Sean P Collins; Christopher J Lindsell; Allen J Naftilan; W Frank Peacock; Deborah Diercks; Brian Hiestand; Alan Maisel; Alan B Storrow
Journal:  Crit Pathw Cardiol       Date:  2009-09

7.  Risk stratification in acute heart failure: rationale and design of the STRATIFY and DECIDE studies.

Authors:  Sean P Collins; Christopher J Lindsell; Cathy A Jenkins; Frank E Harrell; Gregory J Fermann; Karen F Miller; Sue N Roll; Matthew I Sperling; David J Maron; Allen J Naftilan; John A McPherson; Neal L Weintraub; Douglas B Sawyer; Alan B Storrow
Journal:  Am Heart J       Date:  2012-10-29       Impact factor: 4.749

8.  TACIT (High Sensitivity Troponin T Rules Out Acute Cardiac Insufficiency Trial).

Authors:  Peter S Pang; Gregory J Fermann; Benton R Hunter; Phillip D Levy; Kathleen A Lane; Xiaochun Li; Mette Cole; Sean P Collins
Journal:  Circ Heart Fail       Date:  2019-07-10       Impact factor: 8.790

9.  The challenge of heart failure discharge from the emergency department.

Authors:  Edwin C Ho; Michael J Schull; Douglas S Lee
Journal:  Curr Heart Fail Rep       Date:  2012-09

10.  Outcomes in patients with heart failure treated in hospitals with varying admission rates: population-based cohort study.

Authors:  R Sacha Bhatia; Peter C Austin; Therese A Stukel; Michael J Schull; Alice Chong; Jack V Tu; Douglas S Lee
Journal:  BMJ Qual Saf       Date:  2014-07-30       Impact factor: 7.035

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