Literature DB >> 24197629

Sequence patterns in the resolution of clinical instabilities in community-acquired pneumonia and association with outcomes.

Gavin W Hougham1, Sandra A Ham, Gregory W Ruhnke, Elizabeth Schulwolf, Andrew D Auerbach, Jeffrey L Schnipper, Peter J Kaboli, Tosha B Wetterneck, David Gonzalez, Vineet M Arora, David O Meltzer.   

Abstract

BACKGROUND: In patients hospitalized with community-acquired pneumonia (CAP), indicators of clinical instability at discharge (fever, tachycardia, tachypnea, hypotension, hypoxia, decreased oral intake and altered mental status) are associated with poor outcomes. It is not known whether the order of indicator stabilization is associated with outcomes.
OBJECTIVES: To describe variation in the sequences, including whether and in what order, indicators of clinical instability resolve among patients hospitalized with CAP, and to assess associations between patterns of stabilization and patient-level outcomes. DESIGN/PARTICIPANTS / MAIN MEASURES: Chart review ascertained whether and when indicators stabilized and other data for 1,326 adult CAP patients in six U.S. academic medical centers. The sequences of indicator stabilization were characterized using sequence analysis and grouped using cluster analysis. Associations between sequence patterns and 30-day mortality, length of stay (LOS), and total costs were modeled using regression analysis. KEY
RESULTS: We found 986 unique sequences of indicator stabilization. Sequence analysis identified eight clusters of sequences (patterns) derived by the order or speed in which instabilities resolved or remained at discharge and inpatient mortality. Two of the clusters (56% of patients) were characterized by almost complete stabilization prior to discharge alive, but differing in the rank orders of four indicators and time to maximum stabilization. Five other clusters (42% of patients) were characterized by one to three instabilities at discharge with variable orderings of indicator stabilization. In models with fast and almost complete stabilization as the referent, 30-day mortality was lowest in clusters with slow and almost complete stabilization or tachycardia or fever at discharge [OR = 0.73, 95% CI = (0.28-1.92)], and highest in those with hypoxia with instabilities in mental status or oral intake at discharge [OR = 3.99, 95% CI = (1.68-9.50)].
CONCLUSIONS: Sequences of clinical instability resolution exhibit great heterogeneity, yet certain sequence patterns may be associated with differences in days to maximum stabilization, mortality, LOS, and hospital costs.

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Year:  2013        PMID: 24197629      PMCID: PMC3965740          DOI: 10.1007/s11606-013-2626-7

Source DB:  PubMed          Journal:  J Gen Intern Med        ISSN: 0884-8734            Impact factor:   5.128


  27 in total

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2.  Practice guidelines for the management of community-acquired pneumonia in adults. Infectious Diseases Society of America.

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5.  Instability on hospital discharge and the risk of adverse outcomes in patients with pneumonia.

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6.  Causes of death for patients with community-acquired pneumonia: results from the Pneumonia Patient Outcomes Research Team cohort study.

Authors:  Eric M Mortensen; Christopher M Coley; Daniel E Singer; Thomas J Marrie; D Scott Obrosky; Wishwa N Kapoor; Michael J Fine
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7.  Temporal trends in outcomes of older patients with pneumonia.

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Journal:  Arch Intern Med       Date:  2000 Dec 11-25

8.  Effects of physician experience on costs and outcomes on an academic general medicine service: results of a trial of hospitalists.

Authors:  David Meltzer; Willard G Manning; Jeanette Morrison; Manish N Shah; Lei Jin; Todd Guth; Wendy Levinson
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9.  Temporal relations of atrial fibrillation and congestive heart failure and their joint influence on mortality: the Framingham Heart Study.

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10.  Update of practice guidelines for the management of community-acquired pneumonia in immunocompetent adults.

Authors:  Lionel A Mandell; John G Bartlett; Scott F Dowell; Thomas M File; Daniel M Musher; Cynthia Whitney
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  8 in total

1.  New ways to look at old patterns? Sequence analysis to analyze patterns of clinical stability in community-acquired pneumonia.

Authors:  Marisha Burden; Eric M Mortensen
Journal:  J Gen Intern Med       Date:  2014-04       Impact factor: 5.128

Review 2.  Predictors of treatment failure and clinical stability in patients with community acquired pneumonia.

Authors:  Deirdre Morley; Antoni Torres; Catia Cillóniz; Ignacio Martin-Loeches
Journal:  Ann Transl Med       Date:  2017-11

Review 3.  Predicting the Risk of Readmission in Pneumonia. A Systematic Review of Model Performance.

Authors:  Mark Weinreich; Oanh K Nguyen; David Wang; Helen Mayo; Eric M Mortensen; Ethan A Halm; Anil N Makam
Journal:  Ann Am Thorac Soc       Date:  2016-09

4.  Impact of a New York City supportive housing program on Medicaid expenditure patterns among people with serious mental illness and chronic homelessness.

Authors:  Sungwoo Lim; Qi Gao; Elsa Stazesky; Tejinder P Singh; Tiffany G Harris; Amber Levanon Seligson
Journal:  BMC Health Serv Res       Date:  2018-01-10       Impact factor: 2.655

5.  Sequence Analysis of Long-Term Readmissions among High-Impact Users of Cerebrovascular Patients.

Authors:  Ahsan Rao; Alex Bottle; Ara Darzi; Paul Aylin
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Review 6.  Systematic Review of Hospital Readmissions in Stroke Patients.

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Journal:  Stroke Res Treat       Date:  2016-09-07

7.  Applying Sequential Analytic Methods to Self-Reported Information to Anticipate Care Needs.

Authors:  Elizabeth A Bayliss; J David Powers; Jennifer L Ellis; Jennifer C Barrow; MaryJo Strobel; Arne Beck
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8.  Common Sequences of Emergency Readmissions among High-Impact Users following AAA Repair.

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  8 in total

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