| Literature DB >> 30314518 |
Marc A Riedl1, Aleena Banerji2, Michael E Manning3, Earl Burrell4, Namita Joshi5, Dipen Patel5, Thomas Machnig6, Ming-Hui Tai5, Douglas J Watson4.
Abstract
BACKGROUND: Real-world data on usage and associated outcomes with hereditary angioedema (HAE)-specific medications introduced to the United States (US) market since 2009 are very limited. The purpose of this retrospective study was to evaluate real-world treatment patterns of HAE-specific medications in the US and to assess their impact on healthcare resource utilization (HCRU). This analysis used IMS PharMetrics PlusTM database records (2006-2014) of patients with HAE, ≥1 insurance claim for an HAE-specific medication, and continuous insurance enrollment for ≥3 months following the first HAE prescription claim.Entities:
Keywords: Central venous access device; Claims data; Healthcare resource utilization; Hereditary angioedema; Intravenous C1-inhibitor; Real-world; Treatment patterns
Mesh:
Substances:
Year: 2018 PMID: 30314518 PMCID: PMC6186115 DOI: 10.1186/s13023-018-0922-3
Source DB: PubMed Journal: Orphanet J Rare Dis ISSN: 1750-1172 Impact factor: 4.123
Fig. 1Study design and patient inclusion criteria. CVAD, central venous access device; HAE, hereditary angioedema; HCRU, health care resource utilization; ICD-9-CM, International Classification of Diseases, 9th Revision, Clinical Modification Med Index Date, first recorded HAE prescription claim during the study period
Baseline characteristics of study cohort
| All HAE patients ( | |
|---|---|
| Sex, n (%) | |
| Female | 448 (71.0) |
| Male | 183 (29.0) |
| Age (years), mean (SD) | 38.3 (15.3) |
| Age Distribution, | |
| <12 years (%) | 17 (2.7) |
| 12 to <17 years (%) | 27 (4.3) |
| 17 to <65 years (%) | 565 (89.5) |
| ≥65 years (%) | 22 (3.5) |
| Geographic region of the US, | |
| East | 171 (27.1) |
| Midwest | 167 (26.5) |
| South | 249 (39.5) |
| West | 44 (7.0) |
| Payer Type, | |
| Commercial | 452 (71.6) |
| Self-insured | 160 (25.4) |
| Medicaid | 13 (2.1) |
| Medicare Risk | 2 (0.3) |
| Othera | 3 (0.5) |
| Missing/unknown | 1 (0.2) |
| Charlson Comorbidity Index, mean (SD) | 0.35 (0.78) |
HAE hereditary angioedema, SD standard deviation
aOther included 1 patient (0.2%) each with the following: Medicare Cost (supplemental), State Children’s Health Insurance Program, Rx Only
HAE-specific medications used during study period (2006–2014) in 631 patients with HAE in the USa
| HAE Medications | |
|---|---|
| Icatibant and/or ecallantide only | 197 (31.2) |
| Any use C1-INH(IV) | 434 (68.8) |
| C1-INH(IV)/Cinrzye | 110 (17.4) |
| C1-INH(IV)/Cinryze + icatibant/ecallantide | 97 (15.4) |
| C1-INH(IV)/Berinert | 87 (13.8) |
| C1-INH(IV)/Berinert + icatibant/ecallantide | 53 (8.4) |
| C1-INH(IV)/Cinryze + C1-INH(IV)/Berinert + icatibant/ ecallantide | 49 (7.8) |
| C1-INH(IV)/Cinryze + C1-INH(IV)/Berinert | 38 (6.0) |
HAE hereditary angioedema
aAll HAE-specific medications recorded during study period
Prevalence of CVAD-related complicationsa
| CVAD-related complication | Patients with a CVAD |
|---|---|
| Any complication, | 10 (55.6) |
| Specific complications, | |
| Mechanical complication | 7 (38.9) |
| Removal of pericatheter and insertion of replacement catheter | 7 (38.9) |
| Other and unspecified infection due to central venous catheter | 2 (11.1) |
| Local infection due to central venous catheter | 1 (5.6) |
CVAD central venous access device
aA given patient may have had more than one CVAD-related complication
Crude (unadjusted) rates of healthcare resource utilization (HCRU) stratified by C1-INH(IV) use/non-use and by CVAD use/non-use
| HCRU | ||
|---|---|---|
| Hospitalization | ED Visit | |
| Overall ( | 79 (15.2) | 271 (52.0) |
| By C1-INH(IV) use | ||
| C1-INH(IV) users ( | 68 (20.2) | 191 (56.8) |
| Non-C1-INH(IV) users ( | 11 (5.9) | 80 (43.2) |
| By CVAD use | ||
| CVAD users ( | 5 (27.8) | 14 (77.8) |
| Non-CVAD users ( | 74 (14.7) | 257 (51.1) |
CVAD central venous access device, ED emergency department, HCRU healthcare resource utilization
aDuring study period; percentages reflect row %
bTotal HCRU analysis population