Skip to main content

Advertisement

Log in

Validity of Primary Immunodeficiency Disease Diagnoses in United States Medicaid Data

  • Original Research
  • Published:
Journal of Clinical Immunology Aims and scope Submit manuscript

Abstract

Purpose

Primary immunodeficiency diseases (PID) are a rare group of disorders with a wide array of clinical presentations. The absence of validated methods to identify these diseases in electronic databases has limited understanding of their epidemiology and the impact of drug therapies on outcomes. We measured the positive predictive values (PPVs) of ICD-9 diagnoses for identifying PID within US Medicaid.

Methods

We identified Medicaid patients from California, Florida, New York, Ohio, and Pennsylvania with PID ICD-9 diagnoses (common variable immunodeficiency [279.06], X-linked agammaglobulinemia [279.04], hyper-immunoglobulin M syndrome [279.05], Wiskott Aldrich Syndrome [279.12]) recorded at least twice from 1999 to 2007. Outpatient records were reviewed by a clinical immunologist to adjudicate diagnoses. PPVs with 95 % confidence intervals (CIs) for confirmed outcomes were determined for individual ICD-9 diagnoses and combinations of diagnoses and Current Procedural Terminology codes for a quantitative immunoglobulin test (82784) or immunoglobulin infusion (96365).

Results

Among 83 patients with PID ICD-9 diagnoses, 16 were adjudicated as having the condition (PPV, 19.3 %; 95 % CI, 11.4–29.4 %). Individual ICD-9 diagnoses had low PPVs (range, 16.7–33.3 %). Requiring procedural codes for quantitative immunoglobulins or intravenous immunoglobulin did not increase PPVs of these diagnoses (range, 11.1–41.7 %). An X-linked agammaglobulinemia diagnosis plus intravenous immunoglobulin had the highest PPV among the algorithms evaluated (PPV, 41.7 %; 95 % CI, 15.1–72.3 %).

Conclusions

Algorithms comprising PID ICD-9 diagnoses and procedures for quantitative immunoglobulin tests and immunoglobulin infusion had low PPVs for adjudicated diagnoses in Medicaid. Alternative data sources should be evaluated to study the epidemiology of these diseases.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Al-Herz W, Bousfiha A, Casanova JL, Chatila T, Conley ME, Cunningham-Rundles C, et al. Primary immunodeficiency diseases: an update on the classification from the international union of immunological societies expert committee for primary immunodeficiency. Front Immunol. 2014;5:162.

    PubMed  PubMed Central  Google Scholar 

  2. Lim MS, Elenitoba-Johnson KS. The molecular pathology of primary immunodeficiencies. J Mol Diagn. 2004;6(2):59–83.

    Article  CAS  Google Scholar 

  3. Boyle JM, Buckley RH. Population prevalence of diagnosed primary immunodeficiency diseases in the United States. J Clin Immunol. 2007;27(5):497–502.

    Article  CAS  Google Scholar 

  4. Kobrynski L, Powell RW, Bowen S. Prevalence and morbidity of primary immunodeficiency diseases, United States 2001–2007. J Clin Immunol. 2014;34(8):954–61.

    Article  Google Scholar 

  5. Resnick ES, Bhatt P, Sidi P, Cunningham-Rundles C. Examining the use of ICD-9 diagnosis codes for primary immune deficiency diseases in New York State. J Clin Immunol. 2013;33(1):40–8.

    Article  CAS  Google Scholar 

  6. Hennessy S, Bilker WB, Weber A, Strom BL. Descriptive analyses of the integrity of a US Medicaid claims database. Pharmacoepidemiol Drug Saf. 2003;12(2):103–11.

    Article  Google Scholar 

  7. Hennessy S, Leonard CE, Palumbo CM, Newcomb C, Bilker WB. Quality of medicaid and medicare data obtained through Centers for Medicare and Medicaid Services (CMS). Med Care. 2007;45(12):1216–20.

    Article  Google Scholar 

  8. Centers for Medicare & Medicaid Services. Medicaid Analytic eXtract (MAX) Validation Reports. http://www.cms.gov/MedicaidDataSourcesGenInfo/MVR/list.asp. Accessed 10 Mar 2015.

  9. Centers for Medicare & Medicaid Services. Medicaid Statistical Information System (MSIS) Tables. http://www.cms.gov/MedicaidDataSourcesGenInfo/MSIS/list.asp. Accessed 10 Mar 10, 2015.

  10. Walkup J, Sambamoorthi U, Crystal S. Incidence and consistency of antiretroviral use among HIV-infected medicaid beneficiaries with schizophrenia. J Clin Psychiatry. 2001;62(3):174–8.

    Article  CAS  Google Scholar 

  11. Geha RS, Notarangelo LD, Casanova JL, Chapel H, Conley ME, Fischer A, et al. Primary immunodeficiency diseases: an update from the International Union of Immunological Societies Primary Immunodeficiency Diseases Classification Committee. J Allergy Clin Immunol. 2007;120(4):776–94.

    Article  Google Scholar 

  12. Hennessy S, Leonard CE, Bilker WB. Researchers and HIPAA. Epidemiology. 2007;18(4):518.

    Article  Google Scholar 

  13. Hennessy S, Leonard CE, Freeman CP, Deo R, Newcomb C, Kimmel SE, et al. Validation of diagnostic codes for outpatient-originating sudden cardiac death and ventricular arrhythmia in Medicaid and Medicare claims data. Pharmacoepidemiol Drug Saf. 2010;19(6):555–62.

    Article  Google Scholar 

  14. Walkup JT, Wei W, Sambamoorthi U, Crystal S. Sensitivity of an AIDS case-finding algorithm: who are we missing? Med Care. 2004;42(8):756–63.

    Article  Google Scholar 

  15. Fultz SL, Skanderson M, Mole LA, Gandhi N, Bryant K, Crystal S, et al. Development and verification of a “virtual” cohort using the National VA Health Information System. Med Care. 2006;44(8 Suppl 2):S25–30.

    Article  Google Scholar 

  16. Local Coverage Article: Intravenous Immune Globulin - Policy Article - Effective January 2011 (A46341).

Download references

Funding

Support from the University of Pennsylvania’s Center for Pharmacoepidemiology Research & Training and Penn’s CTSA grant # 3UL1TR000003. Additional support from K01 AI070001 awarded to V. Lo Re.

Conflicts of Interest

Author Jordan S. Orange is a paid consultant for Baxter, CSL Behring, ASD Healthcare, and Walgreens and has a research grant from CSL Behring.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hillary Hernandez-Trujillo.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary Table 1

(PDF 18 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hernandez-Trujillo, H., Orange, J.S., Roy, J.A. et al. Validity of Primary Immunodeficiency Disease Diagnoses in United States Medicaid Data. J Clin Immunol 35, 566–572 (2015). https://doi.org/10.1007/s10875-015-0185-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10875-015-0185-x

Keywords

Navigation