| Literature DB >> 33718784 |
Hasan Ahmad Hasan Albitar1, Holly Van Houten2,3, Lindsey R Sangaralingham2,3, Meghan Knoedler2,3, Yahya Almodallal4, Adham K Alkurashi5, Alice Gallo De Moraes1, Hector Cajigas1, Hillary DuBrock1, Deepti Warad6, Nadir Demirel7, Michael Krowka1, Waleed Brinjikji8, Vivek N Iyer1.
Abstract
OBJECTIVE: To assess the health care costs and utilization in patients with hereditary hemorrhagic telangiectasia (HHT) in the United States. PATIENTS AND METHODS: Retrospective analysis of patients with HHT diagnosed between 2007 and 2017 was performed using deidentified administrative claims data from the OptumLabs Data Warehouse. Adult patients with new (incident) diagnosis of HHT between January 1, 2007, and December 31, 2017, were included. Comparisons were made using the Wilcoxon rank sum test.Entities:
Keywords: AVM, arteriovenous malformation; CT, computed tomography; GI, gastrointestinal; HHT, hereditary hemorrhagic telangiectasia; ICD, International Classification of Diseases; MRI, magnetic resonance imaging; OLDW, OptumLabs Data Warehouse
Year: 2020 PMID: 33718784 PMCID: PMC7930864 DOI: 10.1016/j.mayocpiqo.2020.08.010
Source DB: PubMed Journal: Mayo Clin Proc Innov Qual Outcomes ISSN: 2542-4548
Baseline Patient Characteristics of Patients with Hereditary Hemorrhagic Telangiectasia and Matched Controlsa
| Characteristics | Control group (N = 3590) | HHT (N = 3590) |
|---|---|---|
| Mean age, years (SD) | 51.0 (18.4) | 51.0 (18.5) |
| Female sex, n (%) | 2267 (63.1%) | 2267 (63.1%) |
| Race, n (%) | ||
| Asian | 63 (1.8%) | 63 (1.8%) |
| Black | 175 (4.9%) | 175 (4.9%) |
| Hispanic | 251 (7.0%) | 251 (7.0%) |
| White | 3012 (83.9%) | 3012 (83.9%) |
| Other/unknown | 89 (2.5%) | 89 (2.5%) |
| Region of residence, n (%) | ||
| Midwest | 680 (18.9%) | 680 (18.9%) |
| Northeast | 510 (14.2%) | 510 (14.2%) |
| South | 1844 (51.4%) | 1844 (51.4%) |
| North | 556 (15.5%) | 556 (15.5%) |
| Insurance plan, n (%) | ||
| Commercial | 2712 (75.5%) | 2712 (75.5%) |
| Medicare Advantage | 878 (24.5%) | 878 (24.5%) |
| Index year, n (%) | ||
| 2007 | 239 (6.7%) | 239 (6.7%) |
| 2008 | 278 (7.7%) | 278 (7.7%) |
| 2009 | 252 (7.0%) | 252 (7.0%) |
| 2010 | 265 (7.4%) | 265 (7.4%) |
| 2011 | 270 (7.5%) | 270 (7.5%) |
| 2012 | 259 (7.2%) | 259 (7.2%) |
| 2013 | 206 (5.7%) | 206 (5.7%) |
| 2014 | 198 (5.5%) | 198 (5.5%) |
| 2015 | 353 (9.8%) | 353 (9.8%) |
| 2016 | 716 (19.9%) | 716 (19.9%) |
| 2017 | 554 (15.4%) | 554 (15.4%) |
| Length of follow-up, years | ||
| Mean (SD) | 3.2 (2.2) | 3.2 (2.2) |
| Range | 1.0-11.7 | 1.0-11.7 |
| Comorbidities, n (%) | ||
| Hypertension | 1170 (32.6%) | 1170 (32.6%) |
| Diabetes mellitus | 376 (10.5%) | 376 (10.5%) |
| Hyperlipidemia | 1295 (36.1%) | 1295 (36.1%) |
| Cardiovascular disease | 710 (19.8%) | 710 (19.8%) |
HHT = hereditary hemorrhagic telangiectasia; SD = standard deviation.
Index year refers to the year diagnosis was established in the HHT group versus a randomly selected office visit for the control group.
Figure 1Annual health care cost of patients with hereditary hemorrhagic telangiectasia (HHT) compared with matched controls. This figure shows the median annual total cost of care for patients with HHT compared with matched controls. The total cost was the highest 1 year after establishing the diagnosis, and it remained higher than in controls each year up to 5 years after the diagnosis in both patients with Medicare Advantage and commercial health care plans.
Figure 2Office visit rates in patients with hereditary hemorrhagic telangiectasia (HHT) compared with matched controls. This figure shows office visit rates per 1000 patients. Patients with HHT had significantly higher rates of outpatient clinic visits in both patients with commercial insurance and Medicare Advantage extending up to 5 years after the diagnosis.
Figure 3Increased utilization rate ratios in the peri-diagnosis period in patients with hereditary hemorrhagic telangiectasia (HHT) and commercial insurance compared with matched controls. This figure shows utilization rate ratios for patients with HHT and matched controls with private insurance in the peri-diagnosis period (calculated as rates 1 year after diagnosis divided by rates 1 year before diagnosis). This figure shows a significant increase in utilization of outpatient office visits, hospitalizations, imaging, and procedures (including iron and blood transfusions).