PURPOSE: Sudden cardiac death (SD) and ventricular arrhythmias (VAs) caused by medications have arisen as an important public health concern in recent years. The validity of diagnostic codes in identifying SD/VA events originating in the ambulatory setting is not well known. This study examined the positive predictive value (PPV) of hospitalization and emergency department encounter diagnoses in identifying SD/VA events originating in the outpatient setting. METHODS: We selected random samples of hospitalizations and emergency department claims with principal or first-listed discharge diagnosis codes indicative of SD/VA in individuals contributing at least 6 months of baseline time within 1999-2002 Medicaid and Medicare data from five large states. We then obtained and reviewed medical records corresponding to these events to serve as the reference standard. RESULTS: We identified 5239 inpatient and 29 135 emergency department events, randomly selected 100 of each, and obtained 119 medical records, 116 of which were for the requested courses of care. The PPVs for an outpatient-originating SD/VA precipitating hospitalization or emergency department treatment were 85.3% (95% confidence interval [CI] = 77.6-91.2) overall, 79.7% (95%CI = 68.3-88.4) for hospitalization claims, and 93.6% (95%CI = 82.5-98.7) for emergency department claims. CONCLUSIONS: First-listed SD/VA diagnostic codes identified in inpatient or emergency department encounters had very good agreement with clinical diagnoses and functioned well to identify outpatient-originating events. Researchers using such codes can be confident of the PPV when conducting studies of SD/VA originating in the outpatient setting.
PURPOSE:Sudden cardiac death (SD) and ventricular arrhythmias (VAs) caused by medications have arisen as an important public health concern in recent years. The validity of diagnostic codes in identifying SD/VA events originating in the ambulatory setting is not well known. This study examined the positive predictive value (PPV) of hospitalization and emergency department encounter diagnoses in identifying SD/VA events originating in the outpatient setting. METHODS: We selected random samples of hospitalizations and emergency department claims with principal or first-listed discharge diagnosis codes indicative of SD/VA in individuals contributing at least 6 months of baseline time within 1999-2002 Medicaid and Medicare data from five large states. We then obtained and reviewed medical records corresponding to these events to serve as the reference standard. RESULTS: We identified 5239 inpatient and 29 135 emergency department events, randomly selected 100 of each, and obtained 119 medical records, 116 of which were for the requested courses of care. The PPVs for an outpatient-originating SD/VA precipitating hospitalization or emergency department treatment were 85.3% (95% confidence interval [CI] = 77.6-91.2) overall, 79.7% (95%CI = 68.3-88.4) for hospitalization claims, and 93.6% (95%CI = 82.5-98.7) for emergency department claims. CONCLUSIONS: First-listed SD/VA diagnostic codes identified in inpatient or emergency department encounters had very good agreement with clinical diagnoses and functioned well to identify outpatient-originating events. Researchers using such codes can be confident of the PPV when conducting studies of SD/VA originating in the outpatient setting.
Authors: H L Greene; D W Richardson; A H Barker; D M Roden; R J Capone; D S Echt; L M Friedman; M J Gillespie; A P Hallstrom; J Verter Journal: Am J Cardiol Date: 1989-01-01 Impact factor: 2.778
Authors: Sean Hennessy; Warren B Bilker; Jill S Knauss; David J Margolis; Stephen E Kimmel; Robert F Reynolds; Dale B Glasser; Mary F Morrison; Brian L Strom Journal: BMJ Date: 2002-11-09
Authors: Wayne A Ray; Katherine T Murray; Sarah Meredith; Sukumar Suguna Narasimhulu; Kathi Hall; C Michael Stein Journal: N Engl J Med Date: 2004-09-09 Impact factor: 91.245
Authors: Wayne A Ray; Sarah Meredith; Purushottam B Thapa; Kathi Hall; Katherine T Murray Journal: Clin Pharmacol Ther Date: 2004-03 Impact factor: 6.875
Authors: Hillary Hernandez-Trujillo; Jordan S Orange; Jason A Roy; Yanli Wang; Craig N Newcomb; Qing Liu; Sean Hennessy; Vincent Lo Re Journal: J Clin Immunol Date: 2015-08-14 Impact factor: 8.317
Authors: Charles E Leonard; Cristin P Freeman; Craig W Newcomb; Warren B Bilker; Stephen E Kimmel; Brian L Strom; Sean Hennessy Journal: J Clin Exp Cardiolog Date: 2013
Authors: Abraham G Hartzema; Christian G Reich; Patrick B Ryan; Paul E Stang; David Madigan; Emily Welebob; J Marc Overhage Journal: Drug Saf Date: 2013-10 Impact factor: 5.606
Authors: Mai H Trac; Eric McArthur; Racquel Jandoc; Stephanie N Dixon; Danielle M Nash; Daniel G Hackam; Amit X Garg Journal: CMAJ Date: 2016-02-22 Impact factor: 8.262
Authors: Hedi Schelleman; Warren B Bilker; Brian L Strom; Stephen E Kimmel; Craig Newcomb; James P Guevara; Gregory W Daniel; Mark J Cziraky; Sean Hennessy Journal: Pediatrics Date: 2011-05-16 Impact factor: 7.124
Authors: Andreas D Meid; Anna von Medem; Dirk Heider; Jürgen-Bernhard Adler; Christian Günster; Hanna M Seidling; Renate Quinzler; Hans-Helmut König; Walter E Haefeli Journal: Drug Saf Date: 2017-02 Impact factor: 5.606