Literature DB >> 14735649

Comparison of 3 methods of detecting acute respiratory distress syndrome: clinical screening, chart review, and diagnostic coding.

April E Howard1, Carrie Courtney-Shapiro, Lynn A Kelso, Michele Goltz, Peter E Morris.   

Abstract

BACKGROUND: Although the incidence of acute respiratory distress syndrome has been studied, few researchers have prospectively assessed the search tool used to identify cases.
METHODS: For 5 months, all patients admitted to a medical intensive care unit in a teaching hospital were evaluated daily to determine whether criteria for acute respiratory distress syndrome were met, and physicians' progress notes and discharge summaries for these prospectively identified patients were reviewed for mention of the syndrome. Discharge forms were reviewed for the codes (International Classification of Diseases, Ninth Revision) specific to acute respiratory distress syndrome (518.82 or 518.85).
RESULTS: Of 314 patients admitted, 65 prospectively met the criteria for acute respiratory distress syndrome. Of these 65 patients, 31 had acute respiratory distress syndrome mentioned in their progress notes, and 4 of the 31 were subsequently assigned a code of 518.82 or 518.85. Patients with a physician's notation for acute respiratory distress syndrome in their charts had a higher mortality (22/31 [71%]) than did the patients with no such notation (10/34 [29%]). This difference could not be accounted for by differences in length of stay, mean age, score on Acute Physiology and Chronic Health Evaluation III, or number of days in the unit before meeting the criteria.
CONCLUSIONS: The incidence of acute respiratory distress syndrome is underestimated when based on either diagnostic coding or physicians' notes without testing of the accuracy of coding. Both physicians and medical record coding specialists may require training in use of terms related to acute respiratory distress syndrome.

Entities:  

Mesh:

Year:  2004        PMID: 14735649

Source DB:  PubMed          Journal:  Am J Crit Care        ISSN: 1062-3264            Impact factor:   2.228


  11 in total

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2.  Macrolide antibiotics and survival in patients with acute lung injury.

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3.  A Computable Phenotype for Acute Respiratory Distress Syndrome Using Natural Language Processing and Machine Learning.

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Journal:  AMIA Annu Symp Proc       Date:  2018-12-05

4.  Trends in the incidence of noncardiogenic acute respiratory failure: the role of race.

Authors:  Colin R Cooke; Sara E Erickson; Mark D Eisner; Greg S Martin
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5.  Outcome of pediatric acute myeloid leukemia patients receiving intensive care in the United States.

Authors:  Shannon L Maude; Julie C Fitzgerald; Brian T Fisher; Yimei Li; Yuan-Shung Huang; Kari Torp; Alix E Seif; Marko Kavcic; Dana M Walker; Kateri H Leckerman; Todd J Kilbaugh; Susan R Rheingold; Lillian Sung; Theoklis E Zaoutis; Robert A Berg; Vinay M Nadkarni; Neal J Thomas; Richard Aplenc
Journal:  Pediatr Crit Care Med       Date:  2014-02       Impact factor: 3.624

6.  Sex, race, and the development of acute lung injury.

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7.  Doppler-defined pulmonary hypertension in medical intensive care unit patients: Retrospective investigation of risk factors and impact on mortality.

Authors:  Jason A Stamm; Bryan J McVerry; Michael A Mathier; Michael P Donahoe; Melissa I Saul; Mark T Gladwin
Journal:  Pulm Circ       Date:  2011 Jan-Mar       Impact factor: 3.017

8.  External Validation of an Acute Respiratory Distress Syndrome Prediction Model Using Radiology Reports.

Authors:  Anoop Mayampurath; Matthew M Churpek; Xin Su; Sameep Shah; Elizabeth Munroe; Bhakti Patel; Dmitriy Dligach; Majid Afshar
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9.  Impact of Clinician Recognition of Acute Respiratory Distress Syndrome on Evidenced-Based Interventions in the Medical ICU.

Authors:  V Eric Kerchberger; Ryan M Brown; Matthew W Semler; Zhiguo Zhao; Tatsuki Koyama; David R Janz; Julie A Bastarache; Lorraine B Ware
Journal:  Crit Care Explor       Date:  2021-07-06

10.  Acute respiratory distress syndrome: epidemiology and management approaches.

Authors:  Allan J Walkey; Ross Summer; Vu Ho; Philip Alkana
Journal:  Clin Epidemiol       Date:  2012-07-16       Impact factor: 4.790

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