Assembling the evidence…
BACKGROUND: Hereditary angioedema (HAE) is a rare disease characterized by unpredictable, painful swelling attacks. Social determinants of health may affect healthcare resource utilization (HCRU) for HAE attacks. OBJECTIVE: Estimate HCRU among patients with HAE analyzed by race and ethnicity, household income, and rural/urban residency. METHODS: This retrospective, observational study used healthcare insurance claims data (January 1, 2016, to September 30, 2023) from Inovalon's closed claims database. Eligible patients had a new HAE diagnosis or treatment claim (first claim defined index date), no previous claim in previous 12 months' continuous health plan enrollment, maintained 24-month continuous enrollment post-index, and were not using angiotensin-converting enzyme inhibitors. RESULTS: Multivariable models and HAE-related HCRU data revealed that patients from lower-income households (<$50,000 annually) had a higher risk of emergency department (ED) visits (risk ratio, 1.44; 95% confidence interval [95% CI], 1.23-1.68), but no difference in hospitalization risk (1.07; 95% CI, 0.69-1.65) versus those from higher-income households. Black patients had a higher risk of HAE-related ED visit (risk ratio, 1.50; 95% CI, 1.27-1.76), more ED visits (rate ratio, 2.33; 95% CI, 1.74-3.13), and higher hospitalization rates (2.25; 95% CI, 1.10-4.57) versus White patients. ED visit rate ratios were higher for Hispanic/Latino versus White patients (1.71; 95% CI, 1.16-2.50). Rural versus urban residency did not significantly affect HAE-related HCRU. Allergist/immunologist care access was lower among Black patients (16.7%) and among those from lower-income households (25.5%) versus the overall study population (27.5%). CONCLUSIONS: Among patients with HAE, disparities exist in HCRU. Targeted strategies are essential for ensuring equitable access and improving outcomes for underserved patients.
Black patients had a higher risk of HAE-related ED visit, more ED visits, and higher hospitalization rates versus White patients.
reported estimates consistently support the associations, but age-and-sex-only adjustment leaves substantial confounding unresolved
Patients from lower-income households had a higher risk of emergency department visits, but no difference in hospitalization risk versus those from higher-income households.
risk estimates support the stated contrast, but ecological income measurement and minimal adjustment constrain interpretation
ED visit rate ratios were higher for Hispanic/Latino versus White patients.
the significant rate ratio supports this wording, although the Discussion incorrectly broadens it to ED-visit risk
Rural versus urban residency did not significantly affect HAE-related HCRU.
all reported rural comparisons were nonsignificant, though the rural sample and confidence intervals limit certainty
Allergist/immunologist care access was lower among Black patients and among those from lower-income households versus the overall study population.
reported encounter proportions support the comparison, although specialty claims are an incomplete proxy for access
Derived from the full evaluation — not a separate score.
Strengths
The study moves beyond prior patient and clinician surveys by estimating treatment and HCRU differences from administrative claims in newly diagnosed, medically insured patients with HAE.
↳ Introduction, pp. 1870–1871; Discussion, p. 1874
The Methods specify eligibility, exclusions, index-date construction, continuous enrollment, follow-up, and claims-based HCRU endpoints. Figures 2–5 report risk and rate estimates with confidence intervals.
↳ Methods, pp. 1870–1871; Figures 2–5, pp. 1876–1879
The Limitations section addresses coding error, missed claims, adherence, Managed Medicaid generalizability, and FFP-related case misclassification, including the tradeoff behind retaining FFP-indexed patients.
↳ Limitations, pp. 1879–1880
Limitations
Primary regression models adjust only for age and sex despite substantial subgroup differences and plausible confounding by clinical severity, comorbidity, payer, diagnostic pathway, and prior utilization. Medicaid and distance models examine only two pathways and do not provide comprehensive adjustment.
↳ Methods, Data Analysis, p. 1871; Table I, p. 1873
The Conclusion describes disparities as “driven by” race and income and states that SDOH factors “contribute to” increased ED use. Those explanatory claims are not identified by the confounded retrospective design.
↳ Conclusion, p. 1880
Race and ethnicity are unavailable for 24.6% of the cohort, SDOH data are unavailable for 8.9%, and the Asian subgroup contains only 10 patients. No missingness sensitivity analysis is reported.
↳ Results, pp. 1871–1873; Table I, p. 1873
The study makes a useful incremental contribution by adding claims-based HCRU outcomes to an HAE disparities literature described as predominantly survey-based. Its cohort definition and outcome reporting are transparent, and Figures 2–5 make the subgroup estimates readily traceable. The main inferential limitation is that regression adjusts only for age and sex, while Medicaid and distance models do not address the broader set of plausible clinical and social confounders. Because the Conclusion nevertheless describes outcomes as “driven by” race and income, the results are best read as descriptive disparity signals rather than identified explanations.
Nabu’s assessment, alongside the field’s view.
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Limited2.6
Confidence mediumThe study adds claims-based treatment and utilization outcomes to an HAE disparities literature described as primarily survey-based. The advance is incremental and constrained by a 570-person cohort, incomplete race data, and small subgroup cells.
“most research on disparities in HAE has focused on patient and HCP surveys”
The cohort rules, follow-up period, outcomes, and regression estimates are explicit, but the main models adjust only for age and sex. The central conclusion attributes outcomes to race and income despite uncontrolled clinical and social confounding, producing a stacked serious ceiling.
“A multivariable regression analysis adjusting for age and sex was used”
The study is organized coherently and its figures make subgroup estimates traceable. Reporting is reduced because the Conclusion says disparities were “driven by” race and income and that SDOH factors “contribute to” utilization, converting associations into explanatory claims.
“driven by race and ethnicity, and household income”
The paper connects its findings to HAE surveys, guidelines, treatment patterns, and claims-data limitations. However, the Limitations section does not acknowledge that age-and-sex-only adjustment leaves disease severity, comorbidity, payer, and related pathways unresolved.
“Our study has several limitations.”
Caveats4 of 4 checks
The principal estimates are consistent across the Abstract, Results, and figures, but the Discussion conflates a significant Hispanic/Latino ED-visit rate finding with a nonsignificant ED-visit risk estimate.
Sponsor involvement, contracted analysis, sponsor-employed authorship, and writing support are disclosed, as is the proprietary data-use restriction. No ethics, preregistration, or code-availability statement is supplied.
Flags: 1 declared / 5 total
1 of 1 checkable references verified
2 references in manuscript 1 are books, websites or datasets — counted, but not index-checkable
No retraction notice found in Retraction Watch.
Sources: Retraction Watch ✓
Where this paper’s evidence sits on the path from initial observation to real-world use.
The analysis uses operational insurance claims and can inform prioritization, but it evaluates no intervention or implementation pathway. Additional causal and implementation evidence is therefore needed before practice deployment.
“This retrospective, observational cohort study was based on administrative claims data”
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