Abstract
Objective:
The purpose of our study was to understand the healthcare burden and incidence of Krabbe disease (Krabbe).
Methods:
Retrospective analysis of Krabbe patients identified October 1, 2015 through December 31, 2020, ages birth through age 3, evaluated in two national databases. We estimated point prevalence and incidence from year 2016 data.
Results:
We identified 98 unique Krabbe patients with 736 visits including 260 were inpatient admissions. Total healthcare charges were $51.5 million dollars. We determined a point prevalence of 34 – 68 Krabbe patients in 2016 ages 0 – 3 years. This estimates a birth incidence of ~1 in 310,000 live births.
Keywords: pediatric, leukodystrophy, Krabbe disease, Globoid cell leukodystrophy, incidence
INTRODUCTION
Krabbe disease (Krabbe) is a rare and deadly autosomal recessive leukodystrophy characterized by low levels of galactocerebrosidase, a lysosomal enzyme involved in myelin turnover.1 The clinical phenotype of Krabbe is variable, and implementation of newborn screening (NBS) and development of therapy has been complicated by the rarity of Krabbe and difficulty in predicting disease course.2–7 The only current treatment for Krabbe is hematopoietic stem cell transplant (HSCT), which is only effective if given prior to symptom onset.5 However, over the past few years there has been a rapid progression in understanding disease pathophysiology, predicting severity, and developing new therapies for Krabbe including gene therapy.8–11 These advances underscore the need for improved understanding of health care needs and prevalence of Krabbe.
A major challenge for Krabbe is that its rarity has made understanding its clinical burden and prevalence unclear. This is in part because data has primarily been available from a few specialty referral centers, which often specialize in HSCT. Further, understanding Krabbe prevalence has been challenging because NBS has only been implemented in eight states,12 and because Krabbe has a complex disease penetrance that is affected by genetic mutation type and by levels of galactocerebrosidase and the toxic metabolite psychosine.3,5,13,14 At this time, estimates of Krabbe range from 1 in 12,080 live births, based on incidence predictions from genomic allele frequency predictions;15 to 1 in 394,000, from NBS performed in New York.16 Incidence also varies in some racial and ethnic groups, ranging as high as 1 per 100 live births in the Druze people,17 to as low as 2 in 1,000,0000 live births in Japan.18
Our objective was to use national data, focusing on hospitalization data, to understand Krabbe healthcare use and incidence, avoiding single center referral biases. This would provide insights on the burden of Krabbe health problems, and would further determine a range of Krabbe incidence in the U.S. This information can help guide development of preventative care guidelines for Krabbe patients; for determining numbers of Krabbe patients to expect from NBS efforts; and for efforts to effectively plan for developing and distributing therapies.
METHODS
Ethics Approval
This project using deidentified data was not considered human subjects research in accordance with the Common Rule (45CFR§46.102[f]) and was exempted by the Institutional Review Boards at the University of Utah and Intermountain Healthcare.
Study Design
We conducted a retrospective study of patients ≤ age 3 years with an International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) diagnosis of Krabbe disease (E75.23); identified between October 1, 2015 through December 31, 2020; with a visit to a Pediatric Health Information System (PHIS) hospital; or identified in the Kids’ Inpatient Database (KID).
The PHIS database has information from 49 children’s hospitals in the U.S.19 Hospitals are affiliated with the business alliance of Children’s Hospital Association (Lenexa, Kansas). 37 hospitals had at least one Krabbe case identified. Patient information across multiple visits can be linked with a deidentified patient identity code. Data collected include patient and visit demographics such as age, gender, race, insurance type, type of visit, estimated total visit cost, length of stay, ICD coding and detailed charge information. The hospital visits included primarily inpatient admissions with additional visit types such as emergency department, observation, ambulatory surgery, clinic and other visit types where available. Race and ethnicity are collected as patient/family-reported answers to separate questions at registration: one for race and one for ethnicity. In 2016, PHIS represents 14% of all pediatric admissions excluding normal newborns and 84% of visits excluding normal newborns age 0–3 years at a children’s hospital when compared to the KID database.
The KID database is a national sample of inpatient pediatric data from all payers in the United States, developed by the Healthcare Cost and Utilization Project (HCUP) of the Agency for Healthcare Research and Quality (AHRQ).20 Data is collected every three years, based on discharge codes, and weighted estimates were used to provide information on the estimated 6.3 million U.S. pediatric hospitalizations in 2016. Data are sampled from 4,200 U.S. community hospitals; normal newborns are sampled at a rate of 10%, while complicated newborns and other pediatric discharges (age 20 or less at admission) are sampled at a rate of 80% (https://www.hcup-us.ahrq.gov/kidoverview.jsp). Data available include primary and secondary diagnoses and procedures; patient demographics (e.g., sex, age, race, median income for ZIP Code); hospital characteristics (e.g., ownership, size, teaching status, Census division); expected payment source; total charges; and length of stay.
Uncomplicated births were defined as an ICD-10-CM principal or secondary diagnosis code of Z3800, Z3801, Z382, Z3830, Z3831, Z385, Z3861, Z3862, Z3863, Z3864, Z3865, Z3866, Z3868, Z3869, or Z388 and DRG 795.
Statistical Analysis
Estimation of the period prevalence for Krabbe in U.S. children ages 0–3 years for the interval from January 1, 2016-December 1, 2016 was conducted by combining information from several sources. The number of children born in the U.S. each year was obtained from CDC data published by the CDC.21 The number of children with Krabbe during the interval was estimated using information from the PHIS and KID databases. To perform an estimation, we identified the number of US hospital admissions of children age 0–3 years with Krabbe in the KID database. To turn this into an estimate of the number of US Krabbe patients, we used PHIS to calculate the average number of inpatient admissions per Krabbe patient. We also considered the group of Krabbe patients that would not be identified in the KID database such as Krabbe patients who were not hospitalized during 2016 or Krabbe patients born in the relevant time frame but who had died before 2016. Because of the lack of data for this group, we assumed two extremes about the relative size of this group, specifically that there were no Krabbe patients not captured in KID and that KID represented only half of the Krabbe US patient population. Given the CDC birth numbers and the total of the above Krabbe patients, the period prevalence estimation would be a simple ratio.
Data Availability Statement
Data are included in this manuscript.
RESULTS
Krabbe Disease Numbers and Hospital Burden
For our analysis of Krabbe disease, we used two sources of hospital data: PHIS, which includes data from 49 children’s hospitals; and KID, which uses sampling estimates derived from 4,200 hospitals. The PHIS data set includes complete records and each patient is uniquely identified; however, it is not comprehensive for all pediatric patients because it reports data from only children’s hospitals, and from a subset (albeit majority) of children’s hospitals. In contrast, the KID uses a sampling and estimation method to provide totals on hospitalizations, but does not have patients uniquely identified. Thus, KID, while more comprehensive and able to estimate the total number of Krabbe hospitalizations, does not report the unique number of patients who accounted for the hospitalizations.
In PHIS, we analyzed the number of unique patients with Krabbe, by year of birth (Table 1). Prior to 2015, Krabbe did not have a unique ICD code. However, in PHIS, a patient born prior to ICD-10-CM implementation in 2015 can be followed retroactively into prior years’ data. Since life expectancy is often < 3 years for infantile or early onset Krabbe,22 2013 would be the first year in which Krabbe patient numbers might reflect a relative steady-state of patient numbers (Table 1).
Table 1.
Birth Year | N Patients | N Receiving HSCT | % with HSCT codes |
---|---|---|---|
2020 | 5 | 0 | 0% |
2019 | 13 | 4 | 31% |
2018 | 18 | 6 | 33% |
2017 | 13 | 1 | 8% |
2016 | 17 | 5 | 29% |
2015 | 14 | 3 | 21% |
2014 | 12 | 3 | 25% |
2013 | 5 | 0 | 0% |
2012 | 1 | 1 | 100% |
* Other Demographics based on first visit | |||
---|---|---|---|
Gender | N Patients | N Receiving HSCT | % with HSCT codes |
Male | 53 | 15 | 28% |
Female | 45 | 8 | 18% |
Race/Ethnicity Grouping | |||
White Non-hispanic | 45 | 12 | 27% |
Other | 18 | 3 | 17% |
White Hispanic | 16 | 3 | 19% |
Missing | 9 | 3 | 33% |
Black | 7 | 2 | 29% |
Asian | 3 | 0 | 0% |
Primary Payer Grouping | |||
Government | 46 | 12 | 26% |
Other | 13 | 1 | 8% |
Private | 35 | 10 | 29% |
Self Pay | 4 | 0 | 0% |
First visit age in years | |||
0 | 72 | 17 | 24% |
1 | 12 | 1 | 8% |
2 | 7 | 3 | 43% |
3 | 7 | 2 | 29% |
We analyzed PHIS visit data for the Krabbe identified patient visits, with the earliest in October 2013 and the latest in December 2020, to evaluate Krabbe hospital utilization (Table 2). 37 hospitals reported at least one Krabbe patient visit (range 1– 83), with from 1 to 26 unique patients. During this slightly over 7 year time period, of 98 total Krabbe patients, 79 patients had 260 hospital admissions, with a median of 4 admissions per hospital. The most common visit type was an inpatient hospitalization (260), followed by clinic visits (189) and emergency department visits (153). There were 23 (28%) patients with an ICD or billing code for bone marrow or stem cell transplant.
Table 2.
Number of KD visits total (mean, median, range) |
736 (20, 9, 1–83) | |
Number of KD patients total (mean, median, range) |
98 (3, 2, 1–26) | |
Visit type/characteristics | N (%) | |
Inpatient | 260 (35%) | |
Emergency department | 154 (21%) | |
Ambulatory surgery | 46 (6%) | |
Observation unit | 46 (6%) | |
Clinic visit | 189 (26%) | |
Other | 41 (6%) | |
In Hospital Death | 7 (7%) | |
ICU stay | 32 (33%) | |
of those in ICU, Days | 21.2 days (1–134) | |
Diagnosis * | Visits N (%) | Patients N (%) |
Epilepsy; convulsions | 220 (30%) | 33 (34%) |
Esophageal disorders | 104 (14%) | 39 (40%) |
Fluid and electrolyte disorders | 91 (12%) | 45 (46%) |
Dysphagia | 88 (12%) | 32 (33%) |
Other specified and unspecified gastrointestinal disorders | 80 (11%) | 34 (35%) |
Procedures ** | Visits N (%) | Patients N (%) |
Administration of nutritional and electrolytic substances | 75 (10%) | 39 (40%) |
Gastrostomy | 47 (6%) | 42 (43%) |
Mechanical ventilation | 40 (5%) | 15 (15%) |
Venous and arterial catheter placement | 37 (5%) | 30 (31%) |
Lumbar puncture | 36 (5%) | 33 (34%) |
Most common medications ^ | Visits N (%) | Patients N (%) |
Levetiracetam | 120 (16%) | 36 (37%) |
Albuterol | 115 (16%) | 23 (23%) |
Propofol | 114 (15%) | 61 (62%) |
Baclofen | 107 (15%) | 39 (40%) |
Gabapentin | 101 (14%) | 39 (40%) |
Other Conditions | Visits N (%) | Patients N (%) |
Gastrostomy | 285 (39%) | 58 (59%) |
Feeding difficulties | 130 (18%) | 46 (47%) |
Epilepsy | 220 (30%) | 33 (34%) |
GERD | 103 (14%) | 39 (40%) |
Failure to thrive | 72 (10%) | 44 (45%) |
Developmental Delays | 103 (18%) | 39 (40%) |
Tracheostomy | 44 (6%) | 2 (2%) |
Visits N (%) | Patients N (%) | |
MRI, brain | 31 (4%) | 21 (21%) |
CT, brain | 80 (11%) | 58 (59%) |
Ultrasound, brain | 10 (1%) | 10 (10%) |
EEG | 99 (13%) | 49 (50%) |
EKG | 70 (10%) | 41 (42%) |
Nebulizer treatment | 107 (15%) | 25 (26%) |
Top DRGs for Inpatient, Observation or Emergency Department Visits (98 patients, 460 visits) | ||
Visits N (%) | Patients N Visits (%) | |
DRG - Description | ||
Seizure | 50 (11%) | 20 (20%) |
Degen nerv syst dis X MS | 48 (10%) | 35 (36%) |
Upper resp tract infect | 30 (7%) | 16 (16%) |
Malnut/fail thrive/oth | 22 (5%) | 17 (17%) |
Digestive system dx NEC | 22 (5%) | 14 (14%) |
Top five most common diagnoses. Excluding KD, Leukodystrophy, Lack of expected normal physiological development, Other disorders of psychological development, Other sphingolipidoses.
Top five most common procedures using CCSR ICD procedure coding groupings from HCUP AHRQ.
Top five most common medications, excluding acetaminophen and sodium chloride.
We evaluated the most common reasons for hospitalization (Table 2), first by excluding what we deemed “intrinsic” diagnoses associated with Krabbe itself (Leukodystrophy; Lack of expected normal physiological development; Other disorders of psychological development; and Other sphingolipidoses). The five most common discharge diagnosis groupings (using ICD-10 Clinical Classifications Software Refined (CCSR) categories) were Epilepsy 220 visits (30%), 33 patients (34%); Esophageal disorders 104 (14%), 39 (40%); Fluid and electrolyte disorders 91 (12%), 45 (46%); Dysphagia 88 (12%), 32 (33%);); and Other gastrointestinal disorders 80 (11%), 34 (35%). The five most common procedure groupings were administration of nutritional and electrolytic substances 75 visits (10%), 39 patients (40%); Gastrostomy 47 (6%), 42 (43%); Mechanical ventilation 40 (5%), 15 (15%); Venous and arterial catheter placement 37 (5%), 30 (31)%; and Lumbar puncture 36 (5%), 33 (34%).
The common medications prescribed to the Krabbe patients (excluding acetaminophen and sodium chloride), were levetiracetam 120 visits (16%), 36 patients (37%); albuterol 115 (16%), 23 (23%); propofol 114 (15%), 61 (62%); baclofen 107 (15%), 39 (40%); and gabapentin 101 (14%), 39 (40%) (Table 2).
Using day of service for charges as a proxy for number of treatments or exams, the 98 Krabbe patients had 36 MRIs (21 (21%) patients); 92 CTs (58 (59%)); 158 EEGs (49 (50%); 106 EKGs (41 (42%)); and 927 nebulizer treatments (25 (26%)) (Table 2).
The total charges of 98 Krabbe patients in the 7+ year time period was $51.3 million dollars, or $526,274/patient (Table 3) with a median of $112,723 and IQR ($39,249-$662,470). This included 3,204 inpatient days; an average of 33 days/patient; 154 emergency department visits; $1.6 million charges for imaging; $7.8 million charges for lab; $13.5 million pharmacy charges; and $20.5 million room and nursing charges. The 23 Krabbe patients with HSCT had total charges of $30.3 million or $1.3 million per patient; with a median of $1.01 million and IQR ($436,000 to $1.7 million). For the 75 Krabbe patients without a transplant, total charges were $21.2 million or $282,629 per patient with a median of $67,151 and IQR ($22,667-$229,259).
Table 3.
Overall |
HSCT |
No HSCT |
|
---|---|---|---|
Patients, number | 98 | 23 | 75 |
Visits, number (avg) | 736 | 186 (8.1) | 550 (7.3) |
Inpatient admissions (avg) | 260 | 56 (2.4) | 204 (2.7) |
Total inpatient days (avg) | 3204 | 1448 (63) | 1756 (23.4) |
Emergency department visits (avg) | 154 | 21 (0.91) | 133 (1.8) |
Total charges (avg) | $51,574,837 | $30,377,637 (1,320,767) | $21,197,200 (282,629) |
Clinical charges (avg) | $ 7,454,482 | $3,130,993 (136,130) | $4,323,489 (57,647) |
Imaging charges (avg) | $1,687,041 | $671,086 (29,177) | $1,015,955 (13,546) |
Lab charges (avg) | $ 7,889,662 | $5,764,864 (250,646) | $2,124,798 (28,331) |
Room and nursing charges (avg) | $20,501,615 | $9,006,995 (391,608) | $ 11,494,620 (153,262) |
Pharmacy charges (avg) | $13,549,180 | $11,675,448 (507,628) | $1,873,733 (24,983) |
Supply charges (avg) | $492,534 | $128,238 (5,576) | $364,295 (4,857) |
Total charges/patient | |||
Mean | $526,274 | $1,320,767 | $282,629 |
Min | $9 | $14,570 | $9 |
Q1 | $39,249 | $ 436,000 | $22,667 |
Median | $112,723 | $1,074,831 | $67,151 |
Q3 | $662,470 | $1,753,430 | $229,259 |
Max | $4,528,709 | $4,528,709 | $3,908,669 |
Inpatient days/patient | |||
Mean | 33 | 63 | 23 |
Min | 0 | 0 | 0 |
Q1 | 2 | 26 | 2 |
Median | 10 | 59 | 6 |
Q3 | 54 | 84 | 22 |
Max | 265 | 164 | 265 |
Point Prevalence and Incidence
To estimate point prevalence and incidence, we used the year 2016. KID data is only available every three years and 2016 was the most recent completed data set at the time of our analysis; and prior to 2015 Krabbe was not uniquely coded by ICD-9 making it impossible to track Krabbe patients.
The PHIS data from 2016 had a total of 236,386 unique patients who had 234,783 hospital discharges (excluding births of uncomplicated newborn infants) (Table 4). There were 18 unique Krabbe patients, who had a total of 25 hospitalizations for an average of 1.39 hospitalizations per patient. Their average length of stay was 11.6 days.
Table 4:
KID | N Visits (95% CI) |
Overall | 4,580,421 (4,430,769–4,730,073) |
Exclude uncomplicated births | 2,214,956 (2,118,820–2,311,092) |
Overall, Exclude uncomplicated births, KD | 47 (27–68) |
Overall, children’s hospitals | 288,518 (227,605–349,431) |
Overall, children’s hospital, exclude uncomplicated births | 280,186 (221,921–338,451) |
Overall, children’s hospital, exclude uncomplicated births, KD | 26 (6–46) |
PHIS | N Visits |
Overall, children’s hospitals | 289,525 |
Overall, children’s hospital, exclude uncomplicated births | 234,783 |
Overall, children’s hospital, exclude uncomplicated births, KD | 25 |
N Patients | |
Overall, children’s hospital, exclude uncomplicated births, KD | 18 |
In KID in 2016, there were 2,214,956 hospitalizations (excluding births of uncomplicated newborn infants), and 47 Krabbe hospitalizations. The Krabbe average length of stay was 12.2 days. We examined the hospitalizations in 2016, of children ages birth through age 3 years, with an ICD-10 diagnosis of Krabbe (E75.23). If the ratio of Krabbe hospitalizations to unique patients is the same in KID as it in PHIS, this would estimate that the 47 Krabbe hospitalizations were accounted for by 34 patients.
We estimate a range of 34–68 Krabbe patients in 2016 ages 0–3 years as a point prevalence. That is, the low end is derived from the KID and PHIS data, and the high end is derived assuming that half of children with Krabbe ages 0 – 3 years are not hospitalized or not otherwise recorded in any given year in the KID or PHIS databases. Children who were ages 0–3 years at the end of 2016 were born between 2013 and 2016. From 2013 – 2016, the U.S. had a total of 15,844,629 live births. Based on the midpoint of the point prevalence range, if the point prevalence is 51 patients with Krabbe, and encompassing birth years 2013 through 2016, this is a birth incidence of ~1 in 310,000 live births.
DISCUSSION
We present national data on Krabbe disease, with analysis of the largest single-study cohort of 98 patients. In just a seven+ year period, we show a significant burden of 736 visits and over $51 million in healthcare charges. Krabbe has a rapid progression of disability and an average life span of less than 3 years in the absence of treatment.22 Reflecting disease severity, we observed frequent and prolonged hospitalizations, with each patient having on average 2.6 hospitalizations with a length of about 33 patient days, and frequent testing including EEGs and MRIs. The most common medications and procedures, including for epilepsy, spasticity, and feeding intolerance, match previous analysis of Krabbe patient medical problems.23–25
This project was performed through analysis of two large national administrative databases, PHIS and KID. PHIS includes data from a large number of children’s hospitals (49) and each patient can be uniquely followed; however, it is largely based on in-patient hospitalization data, and does not include all hospitals or all children’s hospitals. KID uses a sampling approach; thus, while representing all hospitalizations, it can not follow unique patients.
Current literature suggest that HSCT is indicated in pre-symptomatic Krabbe patients, including both early infantile and late infantile types.5,26–28 Our data show the high costs and burden of medical care for Krabbe, which are greater in HSCT patients. This demonstrates high healthcare utilization for HSCT Krabbe patients. This suggests that on-going tracking of short- and long-term outcomes for HSCT (or other therapies) is important to gauge effectiveness of transplant and to consider standardized guidelines for determination of candidacy for transplant. Compared to other leukodystrophy patients, Krabbe patients have higher charges $526,000/patient versus $131,000,29 even if HSCT patients were excluded ($282,000 for non-HSCT Krabbe patients). Cystic fibrosis, another chronic disease, had even lower charges of ~$29,000/patient.30
By determining numbers of Krabbe patients represented in the KID and PHIS databases, we were also able to estimate a birth incidence of 1 in 310,000 live births, which is similar to the rate observed from newborn screening in New York State, of 1 in 394,000 live births.16 However, because these estimated incidences are based on newborn screening levels of galactocerebrosidase and psychosine; or through symptomatic presentation of patients; a still unresolved issue is whether milder cases of Krabbe could be present in the population, with either later onset of symptoms or with incomplete penetrance.3,15
The point prevalence estimation relied on several influential assumptions. More complex point prevalence estimation approaches were considered, including a Bayesian model to propagate uncertainty associated with various inputs and to allow for the inclusion of prior information. However, the Bayesian model still employed strong assumptions, and the statistical complexity was deemed unmerited given the continued dependence on such assumptions. The lack of information on how many children with Krabbe do not have hospitalizations in a given year is a persistent limitation.
Additional limitations of this study are that it was derived from administrative data, and was a retrospective study. A few centers accounted for the majority of patients, which could skew evaluation of practice patterns and approaches to care. We expect our data is incomplete and not all Krabbe patients are accounted for; for example, significant underdiagnosis of Krabbe (and other leukodystrophies) has been noted in racial and ethnic minority groups.31 Other studies have reported on the impact of Krabbe on quality of life,32 which our study did not address. Strengths include the large sample size; the use of national data that was not limited to a single or few referral centers; and ability to estimate point prevalence and incidence.
In conclusion, Krabbe patients have high healthcare costs, reflecting a significant disease burden and need for medical treatments and hospitalizations. Treatments to reduce hospitalizations and morbidities, including for seizures and feeding difficulties, could have major impacts for improving Krabbe patient care and reducing costs. Future efforts could work on developing preventative care guidelines for Krabbe. For example, by determining which antiepileptic medications are most effective in Krabbe patients, this could reduce the number of hospitalizations related to seizures.
Our estimation of a Krabbe incidence of 1 in 310,679 births suggests that each year in the United States, there will be 12 births of children at-risk for symptomatic Krabbe. However the low incidence highlights that costs of implementation and screening could be a barrier for individual states, and raises a question as to whether coordinated national-level screening should be considered. Our data suggest opportunity to reduce healthcare costs and improve the lives of Krabbe patients and their families.
Supplementary Material
Significance:
Krabbe disease patients had over $51 million in health care charges and hundreds of hospitalizations. Estimated prevalence and birth incidence is similar to rates observed from newborn screening. Our findings show the tremendous health impacts of Krabbe disease, and provide guidance for efforts in screening and treatment planning.
Acknowledgements:
GG was supported by the American Academy of Neurology Medical Student Summer Research Project and NIH T35HL007744;. JLB was supported by the Bray Presidential Chair and NIH U54NS115052
Study Funding:
GG was supported by the American Academy of Neurology Medical Student Summer Research Project and by NIH T35HL007744; JLB was supported by NIH U54NS115052.
Footnotes
Statistical Analysis: Performed by Jacob Wilkes, Intermountain Healthcare, Salt Lake City, Utah
Disclosure of Conflicts of Interest: Ms. Ghabash was supported by the American Academy of Neurology Medical Student Summer Research Fellowship and by NIH T35HL007744. Mr. Wilkes reports no disclosures. Dr. Barney reports support from Hunter’s Hope on work unrelated to this project. Dr. Bonkowsky reports serving as consultant to: Bluebird Bio, Calico, Enzyvant, Denali Therapeutics, Neurogene, and Passage Bio; on the Board of Directors of wFluidx; owning stock in Orchard Therapeutics; reciving royalties from Manson Publishing and from BioMerieux (spouse); and research support from NIH and from the United Leukodystrophy Foundation.
There was no role of the funders in design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
Ethical Publication Statement: We confirm that we have read the Journal’s position on issues involved in ethical publication and affirm that this report is consistent with those guidelines.
REFERENCES
- 1.Wenger DA, Rafi MA, Luzi P, Datto J, Costantino-Ceccarini E. Krabbe disease: genetic aspects and progress toward therapy. Mol Genet Metab United States; 2000;70:1–9. [DOI] [PubMed] [Google Scholar]
- 2.Ehmann P, Lantos JD. Ethical issues with testing and treatment for Krabbe disease. Dev Med Child Neurol England; 2019;61:1358–1361. [DOI] [PubMed] [Google Scholar]
- 3.Wasserstein MP, Andriola M, Arnold G, et al. Clinical outcomes of children with abnormal newborn screening results for Krabbe disease in New York State. Genet Med United States; 2016;18:1235–1243. [DOI] [PubMed] [Google Scholar]
- 4.Carter RL, Wrabetz L, Jalal K, et al. Can psychosine and galactocerebrosidase activity predict early-infantile Krabbe’s disease presymptomatically? J Neurosci Res United States; 2016;94:1084–1093. [DOI] [PubMed] [Google Scholar]
- 5.Kwon JM, Matern D, Kurtzberg J, et al. Consensus guidelines for newborn screening, diagnosis and treatment of infantile Krabbe disease. Orphanet J Rare Dis 2018;13:30. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Krägeloh-Mann I, Harzer K, Rostásy K, et al. Late onset Krabbe disease due to the new GALC p.Ala543Pro mutation, with intriguingly high residual GALC activity in vitro. Eur J Paediatr Neurol EJPN Off J Eur Paediatr Neurol Soc England; 2017;21:522–529. [DOI] [PubMed] [Google Scholar]
- 7.Saavedra-Matiz CA, Luzi P, Nichols M, Orsini JJ, Caggana M, Wenger DA. Expression of individual mutations and haplotypes in the galactocerebrosidase gene identified by the newborn screening program in New York State and in confirmed cases of Krabbe’s disease. J Neurosci Res United States; 2016;94:1076–1083. [DOI] [PubMed] [Google Scholar]
- 8.Weinstock NI, Shin D, Dhimal N, et al. Macrophages Expressing GALC Improve Peripheral Krabbe Disease by a Mechanism Independent of Cross-Correction. Neuron United States; 2020;107:65–81.e9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Bradbury AM, Bagel JH, Nguyen D, et al. Krabbe disease successfully treated via monotherapy of intrathecal gene therapy. J Clin Invest 2020;130:4906–4920. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Li Y, Miller CA, Shea LK, et al. Enhanced Efficacy and Increased Long-Term Toxicity of CNS-Directed, AAV-Based Combination Therapy for Krabbe disease. Mol Ther United States; Epub 2020. Dec. [DOI] [PMC free article] [PubMed]
- 11.Béchet S, O’Sullivan SA, Yssel J, Fagan SG, Dev KK. Fingolimod Rescues Demyelination in a Mouse Model of Krabbe’s Disease. J Neurosci 2020;40:3104–3118. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Blackwell K, Gelb MH, Grantham A, Spencer N, Webb C, West T. Family Attitudes regarding Newborn Screening for Krabbe Disease: Results from a Survey of Leukodystrophy Registries. Int J neonatal Screen 2020;6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Guenzel AJ, Turgeon CT, Nickander KK, et al. The critical role of psychosine in screening, diagnosis, and monitoring of Krabbe disease. Genet Med United States; 2020;22:1108–1118. [DOI] [PubMed] [Google Scholar]
- 14.Li Y, Xu Y, Benitez BA, et al. Genetic ablation of acid ceramidase in Krabbe disease confirms the psychosine hypothesis and identifies a new therapeutic target. Proc Natl Acad Sci [online serial]. 2019;116:20097 LP – 20103. Accessed at: http://www.pnas.org/content/116/40/20097.abstract. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Soderholm HE, Chapin AB, Bayrak-Toydemir P, Bonkowsky JL. Elevated Leukodystrophy Incidence Predicted From Genomics Databases. Pediatr Neurol 2020;111. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Orsini JJ, Kay DM, Saavedra-Matiz CA, et al. Newborn screening for Krabbe disease in New York State: the first eight years’ experience. Genet Med United States; 2016;18:239–248. [DOI] [PubMed] [Google Scholar]
- 17.Rafi MA, Luzi P, Zlotogora J, Wenger DA. Two different mutations are responsible for Krabbe disease in the Druze and Moslem Arab populations in Israel. Hum Genet Germany; 1996;97:304–308. [DOI] [PubMed] [Google Scholar]
- 18.Foss AH, Duffner PK, Carter RL. Lifetime risk estimators in epidemiological studies of Krabbe Disease: Review and Monte Carlo comparison. Rare Dis (Austin, Tex) 2013;1:e25212. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Kittle K, Currier K, Dyk L, Newman K. Using a pediatric database to drive quality improvement. Semin Pediatr Surg United States; 2002;11:60–63. [DOI] [PubMed] [Google Scholar]
- 20.Cost Healthcare and Project Utilization. Overview of the Kids’ Inpatient Database (KID) [online]. Agency Healthc. Res. Qual Rockville, MD 2019. Accessed at: http://www.hcupus.ahrq.gov/kidoverview.jsp. Accessed January 6, 2020.
- 21.Natality Information.
- 22.Orsini JJ, Escolar ML, Wasserstein MP, Caggana M. Krabbe Disease In: Adam MP, Ardinger HH, Pagon RA, et al. , editors. Seattle (WA); 1993. [Google Scholar]
- 23.Bonkowsky JL, Wilkes J, Ying J, Wei W-Q. Novel and known morbidities of leukodystrophies identified using a phenome-wide association study. Neurol Clin Pract 2020;10:406–414. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Krieg SI, Krägeloh-Mann I, Groeschel S, et al. Natural history of Krabbe disease - a nationwide study in Germany using clinical and MRI data. Orphanet J Rare Dis 2020;15:243. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Beltran-Quintero ML, Bascou NA, Poe MD, et al. Early progression of Krabbe disease in patients with symptom onset between 0 and 5 months. Orphanet J Rare Dis 2019;14:46. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Yoon IC, Bascou NA, Poe MD, Szabolcs P, Escolar ML. Long-Term Neurodevelopmental Outcomes of Hematopoietic Stem Cell Transplantation for Late-Infantile Krabbe Disease. Blood United States; Epub 2020 Nov. [DOI] [PMC free article] [PubMed]
- 27.Allewelt H, Taskindoust M, Troy J, et al. Long-Term Functional Outcomes after Hematopoietic Stem Cell Transplant for Early Infantile Krabbe Disease. Biol Blood Marrow Transplant United States; 2018;24:2233–2238. [DOI] [PubMed] [Google Scholar]
- 28.Wright MD, Poe MD, DeRenzo A, Haldal S, Escolar ML. Developmental outcomes of cord blood transplantation for Krabbe disease: A 15-year study. Neurology 2017;89:1365–1372. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Brimley CJ, Lopez J, Van Haren K, et al. National variation in costs and mortality for leukodystrophy patients in US children’s hospitals. Pediatr Neurol 2013;49. [DOI] [PMC free article] [PubMed]
- 30.Perkins RC, Shah M, Sawicki GS. An evaluation of healthcare utilization and clinical charges in children and adults with cystic fibrosis. Pediatr Pulmonol United States; 2021;56:928–938. [DOI] [PubMed] [Google Scholar]
- 31.Bonkowsky JL, Wilkes J, Bardsley T, Urbik VM, Stoddard G. Association of Diagnosis of Leukodystrophy With Race and Ethnicity Among Pediatric and Adolescent Patients. JAMA Netw open 2018;1. [DOI] [PMC free article] [PubMed]
- 32.Simon N-J, Richardson J, Ahmad A, et al. Health utilities and parental quality of life effects for three rare conditions tested in newborns. J patient-reported outcomes 2019;3:4. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
Data are included in this manuscript.