Literature DB >> 29446185

Chart validation of inpatient ICD-9-CM administrative diagnosis codes for acute myocardial infarction (AMI) among intravenous immune globulin (IGIV) users in the Sentinel Distributed Database.

Eric M Ammann1, Marin L Schweizer2,3, Jennifer G Robinson1,3,4, Jayasheel O Eschol3, Rami Kafa3, Saket Girotra3,4, Scott K Winiecki5, Candace C Fuller6, Ryan M Carnahan1, Charles E Leonard7, Cole Haskins1,4,8, Crystal Garcia6, Elizabeth A Chrischilles1.   

Abstract

BACKGROUND: The Sentinel Distributed Database (SDD) is a large database of patient-level administrative health care records, primarily derived from insurance claims and electronic health records, and is sponsored by the US Food and Drug Administration for medical product safety evaluations. Acute myocardial infarction (AMI) is a common study endpoint for drug safety studies that rely on health records from the SDD and other administrative databases.
PURPOSE: In this chart validation study, we report on the positive predictive value (PPV) of inpatient International Classification of Diseases, Ninth Revision, Clinical Modification AMI administrative diagnosis codes (410.x1 and 410.x0) in the SDD.
METHODS: As part of an assessment of thromboembolic adverse event risk following treatment with intravenous immune globulin, charts were obtained for 103 potential post-intravenous immune globulin AMI cases. Charts were abstracted by trained nurses and physician-adjudicated based on prespecified diagnostic criteria.
RESULTS: Acute myocardial infarction status could be determined for 89 potential cases. The PPVs for the inpatient AMI diagnoses recorded in the SDD were 75% overall (95% CI, 65-84%), 93% (95% CI, 78-99%) for principal-position diagnoses, 88% (95% CI, 72-97%) for secondary diagnoses, and 38% (95% CI, 20-59%) for position-unspecified diagnoses (eg, diagnoses originating from separate physician claims associated with an inpatient stay). Of the confirmed AMI cases, demand ischemia was the suspected etiology more often for those coded in secondary or unspecified positions (72% and 40%, respectively) than for principal-position AMI diagnoses (21%).
CONCLUSIONS: The PPVs for principal and secondary AMI diagnoses were high and similar to estimates from prior chart validation studies. Position-unspecified diagnosis codes were less likely to represent true AMI cases.
Copyright © 2018 John Wiley & Sons, Ltd.

Entities:  

Keywords:  diagnosis; medical records; myocardial infarction; pharmacoepidemiology; predictive value of tests; validation studies

Mesh:

Substances:

Year:  2018        PMID: 29446185      PMCID: PMC6410350          DOI: 10.1002/pds.4398

Source DB:  PubMed          Journal:  Pharmacoepidemiol Drug Saf        ISSN: 1053-8569            Impact factor:   2.890


  20 in total

1.  The validity of the diagnosis of acute myocardial infarction in routine statistics: a comparison of mortality and hospital discharge data with the Danish MONICA registry.

Authors:  Mette Madsen; Michael Davidsen; Søren Rasmussen; Steen Z Abildstrom; Merete Osler
Journal:  J Clin Epidemiol       Date:  2003-02       Impact factor: 6.437

2.  Health information policy council; 1984 revision of the Uniform Hospital Discharge Data Set--HHS. Notice.

Authors: 
Journal:  Fed Regist       Date:  1985-07-31

3.  The organizational structure and governing principles of the Food and Drug Administration's Mini-Sentinel pilot program.

Authors:  Susan Forrow; Daniel M Campion; Lisa J Herrinton; Vinit P Nair; Melissa A Robb; Marcus Wilson; Richard Platt
Journal:  Pharmacoepidemiol Drug Saf       Date:  2012-01       Impact factor: 2.890

4.  A policy framework for public health uses of electronic health data.

Authors:  Deven McGraw; Kristen Rosati; Barbara Evans
Journal:  Pharmacoepidemiol Drug Saf       Date:  2012-01       Impact factor: 2.890

5.  Comparison of self-report, hospital discharge codes, and adjudication of cardiovascular events in the Women's Health Initiative.

Authors:  Susan R Heckbert; Charles Kooperberg; Monika M Safford; Bruce M Psaty; Judith Hsia; Anne McTiernan; J Michael Gaziano; William H Frishman; J David Curb
Journal:  Am J Epidemiol       Date:  2004-12-15       Impact factor: 4.897

6.  Third universal definition of myocardial infarction.

Authors:  Kristian Thygesen; Joseph S Alpert; Allan S Jaffe; Maarten L Simoons; Bernard R Chaitman; Harvey D White
Journal:  Glob Heart       Date:  2012-09-26

7.  Positive predictive value of the diagnosis of acute myocardial infarction in an administrative database.

Authors:  L A Petersen; S Wright; S L Normand; J Daley
Journal:  J Gen Intern Med       Date:  1999-09       Impact factor: 5.128

Review 8.  Use of intravenous immunoglobulin in human disease: a review of evidence by members of the Primary Immunodeficiency Committee of the American Academy of Allergy, Asthma and Immunology.

Authors:  Jordan S Orange; Elham M Hossny; Catherine R Weiler; Mark Ballow; Melvin Berger; Francisco A Bonilla; Rebecca Buckley; Javier Chinen; Yehia El-Gamal; Bruce D Mazer; Robert P Nelson; Dhavalkumar D Patel; Elizabeth Secord; Ricardo U Sorensen; Richard L Wasserman; Charlotte Cunningham-Rundles
Journal:  J Allergy Clin Immunol       Date:  2006-04       Impact factor: 10.793

9.  A multicenter study of the coding accuracy of hospital discharge administrative data for patients admitted to cardiac care units in Ontario.

Authors:  Peter C Austin; Paul A Daly; Jack V Tu
Journal:  Am Heart J       Date:  2002-08       Impact factor: 4.749

10.  Accuracy of Medicare claims-based diagnosis of acute myocardial infarction: estimating positive predictive value on the basis of review of hospital records.

Authors:  Yuka Kiyota; Sebastian Schneeweiss; Robert J Glynn; Carolyn C Cannuscio; Jerry Avorn; Daniel H Solomon
Journal:  Am Heart J       Date:  2004-07       Impact factor: 4.749

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Journal:  Contemp Clin Trials Commun       Date:  2018-11-10

5.  Using Medicare Claims to Identify Acute Clinical Events Following Implantation of Leadless Pacemakers.

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