| Literature DB >> 34154622 |
Janina Grau1,2, Johann Philipp Zöllner1,2, Susanne Schubert-Bast1,2,3, Gerhard Kurlemann4, Christoph Hertzberg5, Adelheid Wiemer-Kruel6, Thomas Bast6, Astrid Bertsche7, Ulrich Bettendorf8, Barbara Fiedler9, Andreas Hahn10, Hans Hartmann11, Frauke Hornemann12, Ilka Immisch13, Julia Jacobs14,15, Matthias Kieslich1,3, Karl Martin Klein1,2,16, Kerstin A Klotz14,17, Gerhard Kluger18,19, Markus Knuf20,21, Thomas Mayer22, Klaus Marquard23, Sascha Meyer24, Hiltrud Muhle25, Karen Müller-Schlüter26, Anna H Noda1,2, Susanne Ruf27, Matthias Sauter28, Jan-Ulrich Schlump29, Steffen Syrbe30, Charlotte Thiels31, Regina Trollmann32, Bernd Wilken33, Laurent M Willems1,2, Felix Rosenow1,2, Adam Strzelczyk34,35,36.
Abstract
BACKGROUND: Tuberous sclerosis complex (TSC), a multisystem genetic disorder, affects many organs and systems, characterized by benign growths. This German multicenter study estimated the disease-specific costs and cost-driving factors associated with various organ manifestations in TSC patients.Entities:
Keywords: Anti-seizure medication; Epilepsy; Everolimus; Rhabdomyoma; Seizure; mTOR inhibitor
Year: 2021 PMID: 34154622 PMCID: PMC8218507 DOI: 10.1186/s13023-021-01899-x
Source DB: PubMed Journal: Orphanet J Rare Dis ISSN: 1750-1172 Impact factor: 4.123
Sociodemographic and clinical characteristics (n = 184)
| All patients n = 184 | |
|---|---|
| Age in years1 | 9.8 ± 5.3 |
| range | |
| 0.7–21.8 | |
| Sex | % (n) |
| Male | 51.6 (95) |
| Female | 48.4 (89) |
| Age at first symptoms due to TSC1 | 0.8 ± 1.3 |
| range | |
| 0–7.7 | |
| Age at TSC diagnosis in years1 | 1.3 ± 2.1 |
| range | |
| 0–12.1 | |
| TSC diagnosis before birth by ultrasound | % (n) |
| No | 81.5 (150) |
| Yes | 18.5 (34) |
| Genetics | % (n) |
| TSC1-gene | 13.6 (25) |
| TSC2-gene | 46.2 (85) |
| TSC2/PKD1 contiguous-gene | 2.7 (5) |
| No genetic test | 15.2 (28) |
| No genetic mutation | 4.9 (9) |
| Unknown | 17.3 (32) |
| Affected family members by TSC | % (n) |
| No | 85.3 (157) |
| Yes | 14.7 (27) |
| Parents' age in years1 | |
| Mother | 40.8 ± 7.0 |
| Father | 43.4 ± 7.4 |
| Living conditions | % (n) |
| With mother and father | 82.1 (151) |
| Only with mother | 13.0 (24) |
| Only with father | 0.5 (1) |
| Other | 4.4 (8) |
| Childcare and School | % (n) |
| School for children with special needs3 | 40.2 (74) |
| Kindergarten | 26.6 (49) |
| Primary mainstream school | 10.9 (20) |
| Secondary mainstream school | 8.2 (15) |
| Only at home | 6.0 (11) |
| Day care | 0.5 (1) |
| Employed | 0.5 (1) |
| Unknown/other | 7.1 (13) |
1Mean ± standard deviation
2Mean age at TSC diagnosis of affected family members
3Learning, mental and physical development
Organ manifestations in TSC patients1 (n = 184)
| % | n | |
|---|---|---|
| Epilepsy | 91.8 | 169 |
| Recurrent seizures | 47.8 | 88 |
| Seizure free > 1 year or no seizures | 52.2 | 96 |
| Structural brain disorders | 83.2 | 153 |
| SEGA2 | 33.2 | 61 |
| Cortical tubers | 76.1 | 140 |
| Hydrocephalus | 3.3 | 6 |
| Psychiatric disorders | 51.1 | 94 |
| Heart and circulatory system | 66.8 | 123 |
| Rhabdomyomas | 61.4 | 113 |
| Hypertension | 6.0 | 11 |
| Aneurysm Aorta | 1.1 | 2 |
| Arrhythmia | 7.6 | 14 |
| Kidney and urinary tract | 53.3 | 98 |
| Chronic kidney dysfunction | 1.6 | 3 |
| Angiomyolipomas | 45.7 | 84 |
| Cysts | 29.9 | 55 |
| Skin manifestations | 85.9 | 158 |
| Hypomelanotic macules | 74.5 | 137 |
| Angiofibromas | 60.3 | 111 |
| Shagreen patches | 39.1 | 72 |
| Forehead plaque | 3.3 | 6 |
| Ungal/periungal fibromas | 1.1 | 2 |
| Other disorders | 29.9 | 55 |
| Iris or retinal hamartomas/astrocytomas | 19.0 | 35 |
| Angiomyolipomas in other organ systems3 | 3.3 | 6 |
| Cysts in other organ systems3 | 2.7 | 5 |
1Respiratory system manifestations were not reported
2Subependymal giant cell astrocytoma
3Hormone system, Thyroid, Gastrointestinal, Liver, Spleen, Pancreas
Direct costs for a 3-month period for the total patient group (n = 184; in 2019 Euro)
| Cost components | Mean costs | SD1 | Minimum | Median | Maximum | 95% CI | % of total direct costs | Estimated annual direct costs2 |
|---|---|---|---|---|---|---|---|---|
| Total direct costs | 4949 | 6079 | 0 | 2062 | 29,231 | 4088; 5863 | 100 | 19,796 |
| Medication (n = 168) | 2658 | 4557 | 0 | 321 | 21,546 | 2060; 3297 | 53.7 | 10,632 |
| Hospitalization (n = 41) | 1027 | 3467 | 0 | 0 | 26,802 | 579; 1503 | 20.8 | 4108 |
| Ancillary therapies (n = 116) | 407 | 470 | 0 | 212 | 1951 | 345; 472 | 8.2 | 1628 |
| Outpatient treatment (n = 169) | 346 | 357 | 0 | 255 | 2250 | 298; 396 | 7.0 | 1384 |
| Diagnostics (n = 153) | 156 | 194 | 0 | 101 | 1370 | 130; 186 | 3.2 | 624 |
| Auxillary material (n = 19) | 138 | 738 | 0 | 0 | 8130 | 52; 241 | 2.8 | 552 |
| Rehabilitation (n = 2) | 27 | 287 | 0 | 0 | 3671 | 0; 67 | 0.6 | 108 |
| Emergency service use (n = 5) | 23 | 145 | 0 | 0 | 1200 | 7; 46 | 0.5 | 92 |
| Specific diets (n = 11) | 22 | 122 | 0 | 0 | 1100 | 8; 41 | 0.4 | 88 |
| Transport costs (n = 51) | 9 | 34 | 0 | 0 | 374 | 5; 14 | 0.2 | 36 |
| Co-payments for therapies (n = 64) | 125 | 297 | 0 | 0 | 2020 | 87; 167 | 2.5 | 500 |
| Other co-payments (n = 22) | 15 | 54 | 0 | 0 | 400 | 8; 23 | 0.3 | 60 |
1Standard deviation
2Estimation based on the mean costs in three months multiplied by four
95% CI = 95% Confidence interval using the bootstrap bias corrected and accelerated method
*Everolimus n = 46, Sirolimus n = 3, OTC = over-the-counter
Fig. 1Breakdown of total direct costs (A), with co-payments in orange, per patient over 3 months and total indirect costs for caregivers over 3 months (B). Maternal costs are in red and paternal costs are in blue. 1quit work; 2reduction of working hours
Prescription patterns and costs of anti-seizure drugs (ASDs) for a 3-month period (in 2019 Euro)
| Medication costs | n | Mean costs per 3 months | SD1 | Minimum | Median | Maximum | 95% CI | |
|---|---|---|---|---|---|---|---|---|
| All patients | 184 | € 260 | 378 | € 0 | € 159 | € 3027 | € 213; 312 | |
| No ASDs (16.3%) | 30 | 0 | ||||||
| Monotherapy (32.6%) | 60 | € 158 | 211 | € 7 | € 102 | € 1369 | € 117; 208 | < 0.0013 |
| 2 ASDs (37.0%) | 68 | € 283 | 191 | € 27 | € 241 | € 810 | € 242; 328 | < 0.0014 |
| ≥ 3 ASDs (14.1%) | 26 | € 736 | 708 | € 167 | € 519 | € 3027 | € 503; 994 | < 0.0045 |
1Standard deviation, 95% CI = 95% Confidence interval using the bootstrap bias corrected and accelerated method
2Mann–Whitney-U-test; 3Monotherapy vs. ≥ 3 ASDs, 4Monotherapy vs. 2 ASDs, 52 ASDs vs ≥ 3 ASDs
*(Cannabidiol n = 2, Eslicarbazepine acetate n = 1, Felbamate n = 1, Perampanel n = 2, Phenobarbital n = 2, Potassium bromide n = 1)
Indirect costs to caregivers for a 3-month period (in 2019 Euro)
| Indirect costs components | n1 | Mean costs | SD2 | Minimum | Median | Maximum | 95% CI | Estimated annual costs3 |
|---|---|---|---|---|---|---|---|---|
| Maternal indirect costs | 96 | 2813 | 3950 | 0 | 215 | 11,241 | 2221; 3394 | 11,252 |
| Quit work | 24 | 1466 | 3796 | 0 | 0 | 11,241 | 916; 2016 | 5864 |
| Reduction of working hours | 49 | 1109 | 2136 | 0 | 0 | 8774 | 808; 1438 | 4436 |
| Days off due to TSC | 41 | 238 | 628 | 0 | 0 | 4300 | 153; 332 | 952 |
| Paternal indirect costs | 48 | 372 | 1345 | 0 | 0 | 11,241 | 193; 586 | 1488 |
| Quit work | 2 | 122 | 1169 | 0 | 0 | 11,241 | 0; 306 | 488 |
| Reduction of working hours | 7 | 86 | 531 | 0 | 0 | 5621 | 22; 169 | 344 |
| Days off due to TSC | 41 | 163 | 452 | 0 | 0 | 3440 | 101; 233 | 652 |
| Total parents | 111 | 3184 | 4326 | 0 | 645 | 22,482 | 2533; 3811 | 12,736 |
95% CI = 95% Confidence interval using the bootstrap bias corrected and accelerated method
1Parents of working age
2Standard deviation
3Estimation based on the mean costs in three months multiplied by four
Univariate and multivariate analysis of cost-driving factors for total direct, total indirect and nursing care level costs (3-months period in 2019 Euro)
| n | Total direct costs in € | Median | SD | Total indirect costs in € | Median | SD | Nursing care level costs in € | Median | SD | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Gender | 0.207 | 0.839 | 0.809 | ||||||||||
| Male | 95 | 5213 | 2655 | 5927 | 3291 | 1371 | 4063 | 1149 | 948 | 1002 | |||
| Female | 89 | 4667 | 1873 | 6259 | 3071 | 548 | 4612 | 1178 | 1635 | 1032 | |||
| Age | 0.632* | 0.099* | 0.005* | ||||||||||
| 0 to 3 years | 24 | 4554 | 2786 | 5358 | 4396 | 3231 | 4771 | 589 | 474 | 645 | |||
| 4 to 10 years | 78 | 5047 | 2519 | 5970 | 2923 | 269 | 4635 | 1127 | 948 | 1027 | |||
| 11 to < 22 years | 73 | 5088 | 1556 | 6578 | 2796 | 645 | 3687 | 1358 | 1635 | 1042 | |||
| Number of antiseizure drugs | < 0.001# | 0.002 | < 0.001 | ||||||||||
| ≥ 2 | 94 | 6829 | 3205 | 7147 | 4172 | 2553 | 4814 | 1458 | 1635 | 956 | |||
| 0–1 | 90 | 2985 | 1256 | 3871 | 2153 | 215 | 3488 | 855 | 0 | 985 | |||
| mTOR inhibitors intake | < 0.001# | 0.087 | 0.097 | ||||||||||
| Yes | 49 | 11,459 | 11,358 | 5945 | 2322 | 430 | 3795 | 1367 | 1635 | 1023 | |||
| No | 135 | 2586 | 1346 | 4085 | 3497 | 1371 | 4476 | 1089 | 948 | 1004 | |||
| Seizures | < 0.001 | 0.006 | 0.002 | ||||||||||
| Recurrent seizures | 88 | 6852 | 3765 | 6821 | 4014 | 2258 | 4768 | 1408 | 1635 | 992 | |||
| Seizure free > 1 year or no seizures | 96 | 3204 | 1196 | 4707 | 2423 | 215 | 3744 | 938 | 948 | 984 | |||
| Epilepsy | 0.002 | 0.043 | < 0.001 | ||||||||||
| Yes (91.8%) | 169 | 5230 | 2384 | 6213 | 3351 | 860 | 4390 | 1251 | 1635 | 1003 | |||
| No (8.2%) | 15 | 1778 | 711 | 2839 | 1308 | 0 | 3051 | 172 | 0 | 473 | |||
| Structural brain disorders | 0.022 | 0.059 | 0.170 | ||||||||||
| Yes (83.2%) | 153 | 5321 | 2388 | 6293 | 3369 | 860 | 4424 | 1211 | 1635 | 993 | |||
| No (16.8%) | 31 | 3111 | 1211 | 4541 | 2273 | 0 | 3742 | 925 | 0 | 1096 | |||
| Psychiatric disorders | < 0.001 | < 0.001# | < 0.001# | ||||||||||
| Yes (51.1%) | 94 | 6372 | 2802 | 6564 | 4387 | 2848 | 4883 | 1727 | 2184 | 890 | |||
| No (48.9%) | 90 | 3463 | 1213 | 5157 | 1929 | 161 | 3233 | 574 | 0 | 774 | |||
| Heart and circulatory manifestations | 0.008 | 0.133 | 0.059 | ||||||||||
| Yes (66.8%) | 123 | 5755 | 2655 | 6678 | 3550 | 1097 | 4394 | 1257 | 1635 | 1044 | |||
| No (33.2%) | 61 | 3324 | 1611 | 4245 | 2447 | 430 | 4125 | 973 | 948 | 930 | |||
| Kidney and urinary tract manifestations | 0.392 | 0.113 | 0.010 | ||||||||||
| Yes (53.3%) | 98 | 4714 | 1993 | 6227 | 3552 | 1075 | 4380 | 1341 | 1635 | 1028 | |||
| No (46.7%) | 86 | 5217 | 2389 | 5931 | 2765 | 269 | 4252 | 960 | 948 | 964 | |||
| Skin manifestations | 0.150 | 0.659 | 0.110 | ||||||||||
| Yes (85.9%) | 158 | 4676 | 1890 | 6106 | 3139 | 645 | 4206 | 1212 | 1635 | 1018 | |||
| No (14.1%) | 26 | 6606 | 4946 | 5749 | 3457 | 323 | 5082 | 865 | 474 | 950 | |||
| Other disorders | 0.600 | 0.899 | 0.991 | ||||||||||
| Yes (29.9%) | 55 | 4134 | 2000 | 4685 | 2868 | 548 | 3808 | 1166 | 948 | 982 | |||
| No (70.1%) | 129 | 5296 | 2122 | 6570 | 3319 | 645 | 4537 | 1162 | 1635 | 1031 | |||
| Level of disability | < 0.001 | < 0.001# | < 0.001# | ||||||||||
| None or ≤ 60% | 61 | 3515 | 1057 | 5560 | 1544 | 0 | 3235 | 187 | 0 | 529 | |||
| 70–100% | 123 | 5660 | 2495 | 6221 | 3998 | 2742 | 4574 | 1647 | 1635 | 831 | |||
| Total Disorders | 0.009* | 0.016* | < 0.001* | ||||||||||
| 1–2 Manifestations (8.7%) | 16 | 1282 | 894 | 1365 | 1593 | 0 | 3805 | 323 | 0 | 604 | |||
| 3 Manifestations (13%) | 24 | 3705 | 1522 | 4194 | 1637 | 0 | 2811 | 403 | 0 | 736 | |||
| 4 Manifestations (17.9%) | 33 | 5916 | 2085 | 6097 | 3475 | 1468 | 5171 | 1139 | 948 | 900 | |||
| 5 Manifestations (32.6%) | 60 | 5839 | 2432 | 7021 | 3087 | 860 | 4037 | 1367 | 1635 | 972 | |||
| 6–7 Manifestations (27.8%) | 51 | 5011 | 2403 | 6168 | 4337 | 2957 | 4561 | 1560 | 1635 | 1027 |
§Mann–Whitney-U-test
*Kruskal–Wallis-test; SD = standard deviation
#Significant predictor in multivariate analysis after Bonferroni correction
Studies on direct and indirect costs in children and adolescents with TSC
| Grau et al. Current study | Betts et al. 2020 [ | Chu et al. 2020 [ | Skalicky et al. 2018 [ | Song et al. 2017 [ | Shepherd et al 2017 [ | Kingswood et al. 2016 [ | Kingswood et al. 2016 [ | Wilson et al. 2016 [ | Sun et al. 2015 [ | Vekeman et al. [ | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Study design | multicenter, r | multicenter, r | multicenter, r | multicenter, p | multicenter, r | multicenter, r | multicenter, r | multicenter, r | multicenter, r | multicenter, r | monocenter, r |
| Costing year | 2019 | 2019 | 2017 | 2012 | 2013 | 2014 | 2014 | 2014 | n.r | 2010 | 2012 |
| Country (city) | Germany | USA | Hong Kong | USA | USA | United Kingdom | United Kingdom | United Kingdom | USA | USA | Netherlands (Utrecht) |
| Group | All TSC | TSC and epilepsy | All TSC | All TSC | TSC and AML | TSC and epilepsy | All TSC | TSC and kidneys | All TSC | TSC and SEGA surgery | TSC and kidneys |
| Number of patients | 184 | 2028 | 284 | 179 | 256 | 209 | 286 | 79 | 5655 | 47 | 369 |
| Study population | C | C & A | C & A | C | C | C & A | C & A | C & A | C & A | C & A | C & A |
| Patients with epilepsy | 91.8% | 100% | 71.3% | n.r | n.r | 100% | n.r | n. r | 41.2% | 91% | n.r |
| Age in years (median) | 0.7–21.8 (9.8) | Mean 25.3 | 0.45–89.9 (27.2) | 0–18 (6.0) | Mean 9.7, 6.9 | Mean 26.8 | Mean 31.5 | Mean 38.3 | Mean 22.3 | Mean 11.6 | Mean 42.87 |
| Patients with ASDs | 83.7% | 89.5% | n. r | n.r | n.r | 88% | 42.7% | 68.4% | n.r | n.r | n.r |
| Patients with mTOR-inhibitors | 26.6% | 10% | 16.5% | n.r | n.r | n.r | n.r | n.r | n.r | n.r | n.r |
p = prospective; r = retrospective; C = Children; A = Adults; n.r. = not reported; PPPY = per person/per year; PY = per year; ASD = antiseizure drug
110% of actual expenses, government subsidized more than 90%
2"out-of-pocket" direct spending
3Calculated
4The first amount is from commercial cohort, the second one from medicaid cohort
5Calculated for one year, original cost figure given for a 3 year period, excluding GP administartion encounters
6From SEGA pre-surgery to post-surgery period
7Calculated across all CKD stages
8The first amount is from CKD stage 1, the second one from CKD stage 5, overall mean PPPY costs for AML: EUR 1451-3243
9Proportion of parents with time missed or greater productivity loss
*Same study cohort