| Literature DB >> 31720160 |
Spencer Twitchell1, Herschel W Wilde1, Philipp Taussky1, Michael Karsy1, Ramesh Grandhi1.
Abstract
Purpose Intracranial aneurysms are relatively common epidemiological problems for which the surveillance, treatment, and follow-up are costly. Although multiple studies have evaluated the treatment cost of aneurysms, the follow-up costs are often not examined. In our study, we analyzed how follow-up costs after treatment affected the overall cost of different endovascular techniques for treating aneurysms. Materials and methods An institutional database was used to evaluate the upfront and follow-up costs incurred by patients who underwent elective coiling or placement of a pipeline embolization device (PED) for the treatment of unruptured intracranial aneurysms from July 2011 to December 2017. Results A total of 114 patients (coiling, n = 37; PED, n = 77 ) were included in the study. There was no significant difference among patients in mean age [61.3 (±12.8 years) vs. 57.0 (±14.5 years); probability value (p) = 0.2], sex (male: 32.4% vs. 22.1%; p = 0.2), American Society of Anesthesiologists (ASA) grade (p = 0.5), discharge disposition (p = 0.1), mean length of stay [3.1 days (±5.5) vs. 2.4 days (±2.6); p = 0.2) or follow-up period [22.7 months (±18.5) vs. 18.6 months (±14.9); p = 0.2). There were no differences in costs during admission (p = 0.5) or in follow-up (p = 0.3) between coiling and PED treatments. Initial costs were predominantly related to supplies/implants (56.1% vs. 63.7%) for both treatments. Follow-up costs mostly comprised facility costs (68.2% vs. 67.5%), and there were no differences in costs of subgroups such as supplies/implants (10.5% vs. 9.4%), imaging (17.0% vs. 17.8%), or facilties between coiling and PED. Conclusion These results suggest that the upfront and follow-up costs are mostly similar for the treatment of intracranial aneurysms irrespective of whether the providers used coiling or PED endovascular techniques. Hence, we conclude that follow-up costs should not be a deciding factor when considering these treatments.Entities:
Keywords: aneurysms; coiling; cost analysis; follow-up; pipeline; pipeline embolization device; value-driven outcomes
Year: 2019 PMID: 31720160 PMCID: PMC6823005 DOI: 10.7759/cureus.5692
Source DB: PubMed Journal: Cureus ISSN: 2168-8184
Baseline characteristics of 114 patients with unruptured aneurysms
Results are presented as standard deviations of the mean (±) or absolute numbers with the percentage of the total
P-value: probability value; ICA: internal carotid artery; ACA: anterior cerebellar artery; PComm: posterior communicating artery; AComm: anterior communicating artery; MCA: middle cerebral artery; Vert/PCA/SCA/PICA/AICA: vertebral artery/posterior cerebellar artery/superior cerebellar artery; posterior inferior cerebellar artery/anterior inferior cerebellar artery; ASA: American Society of Anesthesiologists; SNF: skilled nursing facility
| Variable | Coiling (N = 37) | Pipeline (N = 77 patients, 79 aneurysms) | P-value |
| Age (years) | 61.3 (±12.8) | 57.0 (±14.5) | 0.2 |
| Sex (male) | 12 (32.4%) | 17 (22.1%) | 0.2 |
| Aneurysm location | 0.0001 | ||
| ICA | 7 (18.9%) | 51 (64.6%) | |
| ACA | 4 (10.8%) | 3 (3.8%) | |
| Acomm | 11 (29.7%) | 1 (1.3%) | |
| Pcomm | 3 (8.1%) | 3 (3.8%) | |
| MCA | 0 | 4 (5.1%) | |
| Basilar | 5 (13.5%) | 4 (5.1%) | |
| Vert/PCA/SCA/PICA/AICA | 3 (8.1%) | 13 (16.5%) | |
| ICA + Vert | 1 (2.7%) | 0 | |
| ACA + PComm | 1 (2.7%) | 0 | |
| Unknown | 2 (5.4%) | 0 | |
| Aneurysm size (mm) | 8.1 (±4.5) | 8.8 (±8.1) | 0.6 |
| ASA grade | 0.5 | ||
| 1 | 0 (0.0%) | 1 (1.3%) | |
| 2 | 2 (5.4%) | 16 (20.8%) | |
| 3 | 6 (16.2%) | 21 (27.3%) | |
| 4 | 2 (5.4%) | 3 (3.9%) | |
| Unknown | 27 (73.0%) | 36 (46.8%) | |
| Discharge disposition | 0.1 | ||
| Home | 32 (86.5%) | 71 (92.2%) | |
| Home health | 0 (0.0%) | 2 (2.6%) | |
| Acute rehabilitation | 1 (2.7%) | 3 (3.9%) | |
| SNF | 2 (5.4%) | 1 (1.3%) | |
| Died | 2 (5.4%) | 0 (0.0%) | |
| Length of stay (days) | 3.1 (±5.5) | 2.4 (±2.6) | 0.4 |
| Length of overall follow-up (months) | 30.8 (±24.6) | 26.4 (±18.6) | 0.3 |
| Length of clinical follow-up (months) | 26.0 (±23.5) | 23.5 (±18.7) | 0.8 |
| Length of imaging follow-up (months) | 25.5 (±22.7) | 24.4 (±17.4) | 0.5 |
Figure 1Cost allocation
Comparison of cost allocation during hospital stay (left pie charts) and in combined follow-ups (right pie charts)
Figure 2Evaluation of average cost
A) The mean costs of the initial hospital stay were not significantly different between coiling and PED treatments for facility (p = 0.9), pharmacy (p = 0.06), supplies/implants (p = 0.5), imaging (p = 0.1), laboratory (p = 0.2) or the entire subcategories (p = 0.5). B) Similarly, follow-up mean costs were similar for facility (p = 0.3), pharmacy (p = 0.6), supplies/implants (p = 0.9), imaging (p = 0.1), laboratory (p = 0.2), or the entire subcategories (p=0.3). C) The regression correlation of admission costs and follow-up costs was poor (r = 0.1, p = 0.3). There were several outliers for either the admission or follow-up costs. D) The magnitude of follow-up costs was smaller than that of the initial costs for both coiling and PED treatments