Literature DB >> 19541817

Sensitivity of billing claims for cardiovascular disease events among kidney transplant recipients.

Krista L Lentine1, Mark A Schnitzler, Kevin C Abbott, Kosha Bramesfeld, Paula M Buchanan, Daniel C Brennan.   

Abstract

BACKGROUND AND OBJECTIVES: Billing claims are increasingly examined beyond administrative functions as outcomes measures in observational research. Few studies have described the performance of billing claims as surrogate measures of clinical events among kidney transplant recipients. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: We investigated the sensitivity of Medicare billing claims for clinically verified cardiovascular diagnoses (five categories) and procedures (four categories) in a novel database linking Medicare claims to electronic medical records of one transplant program. Cardiovascular events identified in medical records for 571 Medicare-insured transplant recipients in 1991 through 2002 served as reference measures.
RESULTS: Within a claims-ascertainment period spanning +/-30 d of clinically recorded dates, aggregate sensitivity of single claims was higher for case definitions incorporating Medicare Parts A and B for diagnoses and procedures (90.9%) compared with either Part A (82.3%) or Part B (84.6%) alone. Perfect capture of the four procedures was possible within +/-30 d or with short claims window expansion, but sensitivity for the diagnoses trended lower with all study algorithms (91.2% with window up to +/-90 d). Requirement for additional confirmatory diagnosis claims did not appreciably reduce sensitivity. Sensitivity patterns were similar in the early compared with late periods of the study.
CONCLUSIONS: Combined use of Medicare Parts A and B billing claims composes a sensitive measure of cardiovascular events after kidney transplant. Further research is needed to define algorithms that maximize specificity as well as sensitivity of claims from Medicare and other insurers as research measures in this population.

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Year:  2009        PMID: 19541817      PMCID: PMC2709516          DOI: 10.2215/CJN.00670109

Source DB:  PubMed          Journal:  Clin J Am Soc Nephrol        ISSN: 1555-9041            Impact factor:   8.237


  26 in total

1.  Incidence and predictors of myocardial infarction after kidney transplantation.

Authors:  Krista L Lentine; Daniel C Brennan; Mark A Schnitzler
Journal:  J Am Soc Nephrol       Date:  2004-12-22       Impact factor: 10.121

2.  Quality of care in for-profit and not-for-profit health plans enrolling Medicare beneficiaries.

Authors:  Eric C Schneider; Alan M Zaslavsky; Arnold M Epstein
Journal:  Am J Med       Date:  2005-12       Impact factor: 4.965

3.  Estimating the burden of disease. Comparing administrative data and self-reports.

Authors:  J R Robinson; T K Young; L L Roos; D E Gelskey
Journal:  Med Care       Date:  1997-09       Impact factor: 2.983

4.  De novo congestive heart failure after kidney transplantation: a common condition with poor prognostic implications.

Authors:  Krista L Lentine; Mark A Schnitzler; Kevin C Abbott; Leiming Li; Thomas E Burroughs; William Irish; Daniel C Brennan
Journal:  Am J Kidney Dis       Date:  2005-10       Impact factor: 8.860

5.  Peripheral arterial disease and renal transplantation.

Authors:  Jon J Snyder; Bertram L Kasiske; Ross Maclean
Journal:  J Am Soc Nephrol       Date:  2006-06-14       Impact factor: 10.121

6.  Guidelines for the diagnosis and treatment of chronic heart failure: executive summary (update 2005): The Task Force for the Diagnosis and Treatment of Chronic Heart Failure of the European Society of Cardiology.

Authors:  Karl Swedberg; John Cleland; Henry Dargie; Helmut Drexler; Ferenc Follath; Michel Komajda; Luigi Tavazzi; Otto A Smiseth; Antonello Gavazzi; Axel Haverich; Arno Hoes; Tiny Jaarsma; Jerzy Korewicki; Samuel Lévy; Cecilia Linde; José-Luis Lopez-Sendon; Markku S Nieminen; Luc Piérard; Willem J Remme
Journal:  Eur Heart J       Date:  2005-05-18       Impact factor: 29.983

7.  Impact of diabetes and hepatitis after kidney transplantation on patients who are affected by hepatitis C virus.

Authors:  Kevin C Abbott; Krista L Lentine; Jay R Bucci; Lawrence Y Agodoa; Jonathan M Koff; Kent C Holtzmuller; Mark A Schnitzler
Journal:  J Am Soc Nephrol       Date:  2004-12       Impact factor: 10.121

8.  Late urinary tract infection after renal transplantation in the United States.

Authors:  Kevin C Abbott; S John Swanson; Erich R Richter; Erin M Bohen; Lawrence Y Agodoa; Thomas G Peters; Galen Barbour; Robert Lipnick; David F Cruess
Journal:  Am J Kidney Dis       Date:  2004-08       Impact factor: 8.860

9.  Acute myocardial infarction and kidney transplantation.

Authors:  Bertram L Kasiske; J Ross Maclean; Jon J Snyder
Journal:  J Am Soc Nephrol       Date:  2006-02-15       Impact factor: 10.121

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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  24 in total

1.  Renal function and healthcare costs in patients with polycystic kidney disease.

Authors:  Krista L Lentine; Huiling Xiao; Gerardo Machnicki; Adrian Gheorghian; Mark A Schnitzler
Journal:  Clin J Am Soc Nephrol       Date:  2010-06-10       Impact factor: 8.237

Review 2.  A systematic review of validated methods for identifying heart failure using administrative data.

Authors:  Jane S Saczynski; Susan E Andrade; Leslie R Harrold; Jennifer Tjia; Sarah L Cutrona; Katherine S Dodd; Robert J Goldberg; Jerry H Gurwitz
Journal:  Pharmacoepidemiol Drug Saf       Date:  2012-01       Impact factor: 2.890

Review 3.  Validation of CKD and related conditions in existing data sets: A systematic review.

Authors:  Morgan E Grams; Laura C Plantinga; Elizabeth Hedgeman; Rajiv Saran; Gary L Myers; Desmond E Williams; Neil R Powe
Journal:  Am J Kidney Dis       Date:  2010-08-06       Impact factor: 8.860

4.  Prevalence of CKD and comorbid illness in elderly patients in the United States: results from the Kidney Early Evaluation Program (KEEP).

Authors:  Lesley A Stevens; Suying Li; Changchun Wang; Cindy Huang; Bryan N Becker; Andrew S Bomback; Wendy Weinstock Brown; Nilka Ríos Burrows; Claudine T Jurkovitz; Samy I McFarlane; Keith C Norris; Michael Shlipak; Adam T Whaley-Connell; Shu-Cheng Chen; George L Bakris; Peter A McCullough
Journal:  Am J Kidney Dis       Date:  2010-03       Impact factor: 8.860

5.  Better understanding live donor risk through big data.

Authors:  Krista L Lentine; Dorry L Segev
Journal:  Clin J Am Soc Nephrol       Date:  2013-09-26       Impact factor: 8.237

6.  Race, Relationship and Renal Diagnoses After Living Kidney Donation.

Authors:  Krista L Lentine; Mark A Schnitzler; Amit X Garg; Huiling Xiao; David Axelrod; Janet E Tuttle-Newhall; Daniel C Brennan; Dorry L Segev
Journal:  Transplantation       Date:  2015-08       Impact factor: 4.939

7.  Trends in the incidence of atrial fibrillation in older patients initiating dialysis in the United States.

Authors:  Benjamin A Goldstein; Cristina M Arce; Mark A Hlatky; Mintu Turakhia; Soko Setoguchi; Wolfgang C Winkelmayer
Journal:  Circulation       Date:  2012-10-02       Impact factor: 29.690

8.  The impact of kidney transplantation on heart failure risk varies with candidate body mass index.

Authors:  Krista L Lentine; Huiling Xiao; Daniel C Brennan; Mark A Schnitzler; Todd C Villines; Kevin C Abbott; David Axelrod; Jon J Snyder; Paul J Hauptman
Journal:  Am Heart J       Date:  2009-12       Impact factor: 4.749

9.  Pretransplant Midodrine Use: A Newly Identified Risk Marker for Complications After Kidney Transplantation.

Authors:  Tarek Alhamad; Daniel C Brennan; Zaid Brifkani; Huiling Xiao; Mark A Schnitzler; Vikas R Dharnidharka; David Axelrod; Dorry L Segev; Krista L Lentine
Journal:  Transplantation       Date:  2016-05       Impact factor: 4.939

10.  Validity of claims-based stroke algorithms in contemporary Medicare data: reasons for geographic and racial differences in stroke (REGARDS) study linked with medicare claims.

Authors:  Hiraku Kumamaru; Suzanne E Judd; Jeffrey R Curtis; Rekha Ramachandran; N Chantelle Hardy; J David Rhodes; Monika M Safford; Brett M Kissela; George Howard; Jessica J Jalbert; Thomas G Brott; Soko Setoguchi
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2014-06-24
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