Literature DB >> 35246253

Growth in diagnosis and treatment of primary immunodeficiency within the global Jeffrey Modell Centers Network.

Jessica Quinn1, Vicki Modell1, Jordan S Orange1, Fred Modell2.   

Abstract

BACKGROUND: Primary immunodeficiencies (PI), which include more than 450 single-gene inborn errors of immunity and may affect up to 1% of the population, are genetic disorders that impair the immune system. If not properly identified and treated, individuals with PI are subject to serious, prolonged, and sometimes life-threatening infections or autoimmunity. Despite advancements, awareness of PI remains a critical issue for physicians and the public alike, as this leads to the enhanced and expedited management of these conditions. To address this critical issue, the Jeffrey Modell Foundation (JMF) formed a global network of specialized centers. The goal of this endeavor was to raise awareness of PI to better identify, diagnose, and treat patients, reducing associated mortality and morbidity and improving quality of life (QOL). For more than two decades, the Jeffrey Modell Centers Network (JMCN) has served as the foundation upon which these goals have been pursued. The JMCN currently includes 909 Expert Physicians at 400 institutions, in 316 cities, and 86 countries spanning six continents.
METHODS: A survey was developed by JMF for members of the JMCN, following the most recent Classification of PI from the IUIS Expert Committee, to periodically describe the patient population, including treatment modalities and demographics. Physician-reported data from 2021 was compared to that from 2018 and 2013. Physicians in the JMCN also reported on select outcomes of their PI patients one year prior to and one year following diagnosis.
RESULTS: A total of 300 JMF Physician Surveys from 681 physicians were included in this analysis. This is a 75% physician response rate. From 2013 to 2021, there was a 96.3% increase in patients followed in the US and an 86.1% increase globally. During the same period, patients identified with a specific PI defect increased by 46.6% in the US and 47.9% globally. Patients receiving IgG and HSCT increased by 110% and 201% respectfully since 2013. Early diagnosis led to reported decreased morbidity and mortality and reduced calculated healthcare costs.
CONCLUSIONS: This global analysis of physician-reported data on patients with PI demonstrates an increase in both diagnosed and treated patients. This substantial increase from within the JMCN is a testament to its impact. In addition to building an extensive global patient database, the expanding JMCN serves as a unique and critical resource, providing the infrastructure for earliest diagnosis, optimized treatments, and implementation of standard-of-care and best practices. The JMCN provides a critical platform that facilitates the education of physicians and patients, awareness initiatives, and research advances, through collaboration and connectivity, ultimately resulting in improved outcomes and QOL for patients with PI. The JMCN has steadily and substantially grown for more than two decades and continues to substantively impact the field of Immunology globally.
© 2022. The Author(s).

Entities:  

Keywords:  Awareness; Diagnosis; Education; Immunology; Jeffrey Modell Centers Network (JMCN); Jeffrey Modell Foundation (JMF); Network; Primary immunodeficiency (PI); Treatment

Year:  2022        PMID: 35246253      PMCID: PMC8896271          DOI: 10.1186/s13223-022-00662-6

Source DB:  PubMed          Journal:  Allergy Asthma Clin Immunol        ISSN: 1710-1484            Impact factor:   3.406


Introduction

Primary immunodeficiencies (PI), which include over 450 single-gene inborn errors of immunity (IEI), are genetic disorders that impair the immune system [1-3]. Individuals with PI are subject to serious, prolonged, and sometimes life-threatening infections and autoimmunity when not properly identified and treated [1, 4–7]. Manifestations of PI can range from life-threatening, such as Severe Combined Immunodeficiency (SCID), to vulnerability to common and opportunistic infections, persistent inflammation, and autoimmunity. Up to 1% of the global population may have a PI when all IEIs are considered, which is more than previously predicted [2, 8, 9]. Despite advancements in research, genetic sequencing, molecular diagnosis, and treatments that increased our grasp of the immune system and bettered quality of life (QOL) for individuals with PI, awareness of PI remains a critical issue for physicians and the public alike. Increasing awareness of PI leads to the enhanced and expedited management of these conditions [10-16]. To address this critical issue, the Jeffrey Modell Foundation (JMF) formed a global network of specialized centers and developed JMF’s 10 Warning Signs of PI (Figs. 1, 2). The goal of this endeavor was to raise awareness of PI to better identify, diagnose, and treat patients, provide tools useful in these endeavors, and ultimately reduce associated mortality and morbidity and improve QOL. For more than two decades, the Jeffrey Modell Centers Network (JMCN) has laid the groundwork to accomplish these goals, with 909 Expert Physicians at 400 institutions, in 316 cities and 86 countries spanning six continents. A list of expert physicians in the JMCN is shared, with permission, on JMF’s website through the “Find an Expert” tool, which can be accessed at http://info4pi.org/information-booth/find-an-expert. The network is continually expanding, with growth each year, further highlighting its influence over the past two decades as a sought-after resource for the PI community.
Fig. 1

JMF’s 10 warning signs of PI

Fig. 2

JMF’s adult 10 warning signs of PI

JMF’s 10 warning signs of PI JMF’s adult 10 warning signs of PI A detailed survey for members of the JMCN was developed by JMF, following the most recent Classification of PI from the International Union of Immunological Societies (IUIS) Expert Committee [17, 18], to periodically report on the PI patient population, including treatments utilized and demographics (Additional file 1: Figure S1). Additional objectives of the survey were to provide meaningful information to quantify and evaluate the effectiveness and ultimate health impact of JMF’s awareness and advocacy activities, to assess the growth of the patient population, to assess treatment modalities, to identify any notable changes or patterns, and to provide periodic comprehensive reports to the JMCN and broader PI community. The IUIS classification is an invaluable resource for immunologists and researchers everywhere and currently includes 416 distinct disorders with nearly 450 different gene defects listed [17]. In the past two years, 64 new gene defects were either discovered or confirmed [17], due in part to the increased use of exome sequencing (ES) and next generation sequencing (NGS). Several of these new IEI have been found in either an individual or a just a few kindreds, which may not offer a comprehensive description of prevalence and phenotype [17]. Further complicating accurate diagnosis, is the considerable expansion of phenotypes associated with specific diseases and gene variants of uncertain significance, both associated with the increased use and accessibility of NGS [17].

Methods

Growth of the JMCN

The JMCN is currently made up of 909 expert physicians at 400 institutions, in 316 cities, and 86 countries across 6 continents, and is always growing as physicians seek to be included. A comprehensive catalog of all JMCN members and their affiliated centers is maintained and updated on a regular basis, as expert immunologists join or leave the network (due to retirement, relocation, change in employment, etc.). The current make-up of the JMCN was compared to that from 2018 and 2013, which has been previously published [19, 20].

JMF Physician Survey

The JMF Physician Survey follows the most recent version of the Classification of PI from the IUIS Expert Committee available at the time [17, 18] (and before the most recent interim update) [3] and lists the Online Mendelian Inheritance in Man (OMIM) number for each defect or gene, if available. When appropriate, the inheritance and mutation type is provided for each gene, as per the IUIS document. The 2020–2021 survey, which adheres to the latest IUIS classification tables, requested information on patients followed and diagnosed with a PI. A section was provided to list any genes or disorders not listed in the survey tables. The survey also requested information on the administration of immunoglobulin therapies, hematopoietic stem cell transplantation (HSCT), and gene therapy. Additionally, a demographics section was provided requesting information regarding gender and age. Surveys were sent via email to the entire JMCN, requesting information in 2020–2021, and were sent back to JMF by email or fax. Importantly, all information provided was HIPAA compliant and no identifying information was obtained. The 2021 physician-reported data was then compared to that from 2018 and 2013, which was obtained in a similar manner and format and has been previously published [19, 20].

Clinical outcomes and cost analysis

We asked physicians in the JMCN to report on outcomes of their PI patients one year prior to and one year following diagnosis including the number of episodes of specific infections, days in the hospital, ER and office visits, days on medication, and missed school or workdays. These findings should be considered as physician-reported and directional since validation of outcomes was not mandatory. The cost per episode for specific conditions was determined using the Agency for Healthcare Research Quality (AHRQ) Medical Expenditure Panel Survey (MEPS), which provides data on health care utilization and expenditures by medical condition [21]. The cost of hospitalization per day was obtained from the Kaiser Family Foundation report on the American Hospital Association (AHA) annual survey [22]. The associated costs of physician visits, emergency room visits, and antibiotic treatment were acquired from the Health Care Cost Institute (HCCI) 2018 Health Care Cost and Utilization Report, which utilizes data from 40 million enrollees of employer-sponsored health insurance annually between 2014 and 2018 [23]. The costs associated with missed days of work were derived from the United States Social Security Administration [24]. Additional and supporting data were obtained from the Hospital Cost and Utilization Project (HCUP) [25]. HCUP offers the largest inpatient care database in the US, including more than 7 million hospital stays, allowing for examination of special populations, uncommon treatments, and rare conditions [25]. Given the sources used, however, it should be assumed that the costs estimated are more specific to those found in the US and may be distinct from those encountered in other countries.

Statistical analysis

Responses were recorded in a secure Microsoft Excel spreadsheet, with quality control measures in place to maximize the quality of data entry. Data fields corresponded with those of the 2020–2021 survey (Additional file 1: Figure S1). Descriptive quantitative statistical analyses were performed to summarize the responses including the distribution, percent change, prevalence, and mean, each when appropriate. Differences between select geographical areas were examined, as well as between select years. Regarding missing values, there were many ranging from 0 to 97.3% (Additional file 2: Table S1), depending upon field and question, based on 300 surveys received (n = 300). Due to the survey design and instructions, for all fields other than demographics, a missing response was interpreted as a “zero” in that the physician did not have any patients having that particular condition or receiving that particular treatment. For the demographic fields, analysis was performed only for the available data, as the missing values do not relate to any of the other data fields.

Results

The JMCN is made up of 909 expert physicians at 400 institutions, in 316 cities, and 86 countries across 6 continents. Since 2013, the number of institutions, cities, and physicians included in the network have increased by 70.9%, 61.2%, and 63.5%, respectively (Fig. 3). A total of 300 JMF Physician Surveys from 681 physicians were included in this analysis, representing 80 countries, 227 cities, and 280 institutions. This is a 75% physician response rate. Nearly 30% of reporting physicians were located in the US, representing 32 states. The number of reporting Centers, reporting physicians, and surveys received increased by 16.2%, 30.5%, and 33.9% respectively from 2013 to 2021 (Fig. 4). Thus, at a minimum, the increase in any category between 2013 and 2021 that was over 34% is unlikely to have resulted from simply an increase in responses. That said, since most of the largest centers were part of the JMCN in 2013 that percentage expectation should be considered conservative.
Fig. 3

Growth of the Jeffrey Modell Centers Network (JMCN)

Fig. 4

Reports received from the JMCN

Growth of the Jeffrey Modell Centers Network (JMCN) Reports received from the JMCN

Prevalence

Physician-reported prevalence of patients with PI increased from 2013 to 2021, with a 96.3% increase in patients followed in the US and an 86.1% increase globally (Fig. 5). During the same period, patients identified with a specific PI defect increased by 46.6% in the US and 47.9% globally (Fig. 6). “International” includes all reports except the US, while “Global” includes all reports. Given an increase of 16.2% in sites reporting during this period, the increase in prevalence and other reported measures were unlikely due to an increase in reporting centers alone, and so the data presented were not normalized.
Fig. 5

Physician-reported prevalence of PI: patients followed

Fig. 6

Physician-reported prevalence of PI: patients identified with PI defects

Physician-reported prevalence of PI: patients followed Physician-reported prevalence of PI: patients identified with PI defects From 2013 to 2021, total patients followed, and total patients identified with a specific PI defect were compared across nine geographical regions. Total patients followed increased across all nine geographical regions, with an increase of 34.1% in Canada, 128% in Latin America, 140.5% in Western Europe, 28.9% in Eastern Europe, 78% in the Middle East, 53.5% in Asia, 2,073.6% in Australia, and 98.6% in Africa (Table 1). Total patients identified with a specific PI defect increased by 77.8% in Latin America, 45.2% in Western Europe, 25.7% in Eastern Europe, 92.4% in the Middle East, 128.5% in Asia, 22.5% in Africa, and 1,873.6% in Australia (Table 1). Importantly, during this period, there was a substantial increase in reporting sites in Latin America, but this only explains a fraction of the growth in patients. In the US, Canada, Western Europe, Eastern Europe, Asia, and Australia there was a slight increase in reporting sites. In the Middle East, there was a minor decrease in reporting sites, while in Africa, reporting sites remained stable.
Table 1

Physician-reported prevalence of PI by region

Patients followedPatients identified w/PI defects
202120182013% Change (%)202120182013% change (%)
US79,63863,68440,56096.333,39630,22722,78146.6
Canada54404923405834.1307830473880− 20.7
Latin America12,25712,4875377128.095318793536177.8
Western Europe86,39946,01135,932140.537,04028,59225,51845.2
Eastern Europe54,74347,52542,45828.914,93611,63111,88625.7
Middle East98237155552078.084085664437092.4
Asia51782581337353.5421223581843128.5
Australia19781927912073.617961876911873.6
Africa29361695147898.617921836146322.5
Total258,392187,988138,84786.1114,18994,02477,19347.9

The number of patients followed and identified with a specific PI defect by region in 2021, 2018, and 2013

Physician-reported prevalence of PI by region The number of patients followed and identified with a specific PI defect by region in 2021, 2018, and 2013

IUIS classification

The 2021 patient distribution according to the IUIS classification of PI categories was examined in the US, internationally, and globally. Physicians reported that Predominantly Antibody Deficiencies accounted for 56% of patients with a specific PI defect in the US, 37% internationally, and 42% globally (Table 2). Combined Immunodeficiencies with Associated Syndromic Features accounted for 17% of patients with a specific PI defect in the US, 11% internationally, and 12% globally. Unspecified or Other Deficiencies accounted for 9% of these patients in the US, 12% internationally, and 11% globally; a 4% reduction since 2018. Figure 7 shows the change in physician-reported prevalence of PI by the IUIS diagnostic category from 2013 to 2021.
Table 2

Physician-reported prevalence of PI by classification, 2021

USINT’LGlobal
Immunodeficiencies affecting cellular and humoral immunity156659857551
Combined immunodeficiencies with associated syndromic features567710,89216,569
Predominantly antibody deficiencies19,42337,41856,841
Diseases of immune dysregulation119936764875
Congenital defects of phagocyte number or function167817,33219,010
Defects in intrinsic and innate immunity31119932304
Autoinflammatory disorders67363287001
Complement deficiencies64644185064
Bone marrow failure58306364
Phenocopies of inborn errors of immunity48286334
Unspecified or other deficiencies313512,36215,497
Totala34,414100,996135,410

The 2021 distribution of patients according to the IUIS classification of PI categories

aGlobal total doesn’t match Table 1 due to the inclusion of “Unspecified or Other Deficiencies” and reporting

Fig. 7

Physician-reported prevalence of PI by IUIS classification, 2013–2021

Physician-reported prevalence of PI by classification, 2021 The 2021 distribution of patients according to the IUIS classification of PI categories aGlobal total doesn’t match Table 1 due to the inclusion of “Unspecified or Other Deficiencies” and reporting Physician-reported prevalence of PI by IUIS classification, 2013–2021 The fifteen most prevalent PI defects were examined by geographical region. The most prevalent was Common Variable Immunodeficiency (CVID), with 16.6% in the US, 12.9% internationally, and 13.9% globally (Table 3). Specifically, for CVID, Canada had a 22.5% prevalence while Australia had a 34.2% prevalence. There was a prevalence of 10.8% for Selective IgA Deficiency in the US, 9.9% internationally, and 10.2% globally. The Middle East reported a prevalence of 19.2% Familial Mediterranean Fever compared to a 2.2% prevalence globally, and Africa reported a 7% prevalence of Ataxia Telangiectasia compared to a 2.7% prevalence globally. The fifteen most prevalent PI defects have remained quite consistent over the past eight years, with only minor differences, potentially due to modifications in classification. Figure 8 shows the change in physician-reported prevalence of 10 PI defects from 2013 to 2021.
Table 3

Physician-reported prevalence of 15 PI defects by region, 2021 report

USCanadaLatin AmericaWest EuropeEast EuropeMiddle EastAsiaAustraliaAfricaGlobal total
1CVID, unknown555169411915592110075331261516115,969
2Selective IgA deficiency35966315503577229832071942311,592
3Isolated IgG subclass deficiency986131364,10533316530240166024
4TBX1 (DiGeorge, Chromosome 22q11.2 deletion syndrome), AD2,384150325156061410517037285373
5Transient hypogammaglobulinemia of infancy9001366024372500118569414799
6Specific antibody deficiency (normal Ig and B cells)30291195897447466324694708
7ATM (Ataxia-telangiectasia), AR12626326752848725561171263066
8BTK (BTK deficiency, XLA) XL527101361811342170375116602863
9MEFV (Familial Mediterranean fever), AD22318314419016122332322502
10TNFRSF13B (TACI deficiency), AR or AD212251822320914332417
11DiGeorge Syndrome, unknown9881031353473011508512412162
12C1QA (C1q deficiency), AR16727133126417729100111818
13CYBB (X-linked CGD (gp91 phox)), XL356452114412026337817391752
14IgG subclass deficiency with IgA deficiency574738469114952300201673
15WAS [Wiskott-Aldrich syndrome (WAS LOF)], XL282491814552156923726231537
Total22,9471659581421,216890239361884126463368,255

The distribution of the 15 most commonly identified PI defects globally by region

Fig. 8

Physician-reported prevalence of the 10 most commonly identified PI defects, 2013–2021

Physician-reported prevalence of 15 PI defects by region, 2021 report The distribution of the 15 most commonly identified PI defects globally by region Physician-reported prevalence of the 10 most commonly identified PI defects, 2013–2021

Treatment

Immunoglobulin therapies were examined from 2013 to 2021. According to physician reports, since 2013, patients receiving IgG increased by 110% (Table 4). A total of 32% of all patients with a PI defect receive immunoglobulin replacement therapy. Patients receiving subcutaneous immunoglobulin (SCIG) increased by 378% since 2013 and patients getting Intravenous immunoglobulin therapy (IVIG) in the hospital or clinic increased by 114.4%. There was a 22.2% decrease in patients getting IVIG at home during this period, however a 378% increase in patients getting SCIG more than compensates for this decrease.
Table 4

Treatment with IgG by site of care

202120182013% change (%)
IVIG—clinic
 US36043299257240.1
 INT’L15,38592966285144.8
 Global18,98912,5958857114.4
IVIG—home
 US2449238124231.1
 INT’L895842418114.1
 Global334432234298− 22.2
SCIG
 US382228811631134.3
 INT’L975947782667265.9
 Global13,58176592841378.0
Total, including “other”
 US99848721731536.5
 INT’L26,18615,2469910164.2
 Global36,17023,96717,225110.0

The number of patients reported to receive immunoglobulin therapy (IgG) intravenously in the clinic and at home, subcutaneously, and by other treatment modalities in 2021, 2018, and 2013

Treatment with IgG by site of care The number of patients reported to receive immunoglobulin therapy (IgG) intravenously in the clinic and at home, subcutaneously, and by other treatment modalities in 2021, 2018, and 2013 Immunoglobulin therapies in 2021 were examined in nine geographical regions. Notably, 53% of patients treated with IgG in Western Europe receive SCIG compared to 37.5% globally, and 75% of patients getting IgG in Latin America are treated in the clinic or hospital compared to 52.4% globally (Table 5). Additionally, 24.5% of patients getting IgG in the US, do so at home compared to 9.2% globally.
Table 5

Treatment with IgG by site of care by region

USCanadaLatin AmericaWest EuropeEast EuropeMiddle EastAsiaAustraliaAfricaGlobal totals
IVIG—clinic36047172327564624721981703104249718,989
IVIG—home24491167814010113344
SCIG3822523636745092724271363613,581
Other10907447315017256
Totals99841251310413,95734022021730118054136,170

The number of patients reported to receive IgG intravenously in the clinic and at home, subcutaneously, and by other treatment modalities by region, 2021

Treatment with IgG by site of care by region The number of patients reported to receive IgG intravenously in the clinic and at home, subcutaneously, and by other treatment modalities by region, 2021 From 2013 to 2021, treatment with immunoglobulin therapy was examined in nine geographical regions. A 110% global rise in the number of patients receiving IgG was seen during this period, even with just a 16.2% increase in reporting centers. However, a rise in reporting Centers in Latin America likely resulted in the substantial growth in patients receiving IgG reported in that region (Table 6).
Table 6

Treatment with IgG by region

202120182013% change (%)
US99848721731536.5
Canada1251111375665.5
Latin America31041901851264.7
Western Europe13,95773755343161.2
Eastern Europe340222051675103.1
Middle East2021739485316.7
Asia730391322126.7
Australia11801125215519.0
Africa54139745718.4
Total36,17023,96717,225110.0

The number of patients reported to receive IgG by region in 2021, 2018, and 2013

Treatment with IgG by region The number of patients reported to receive IgG by region in 2021, 2018, and 2013 In addition to treatment with immunoglobulin therapy, additional treatments were assessed, such as HSCT, PEG-ADA, and gene therapy. There was substantial growth in patients obtaining these treatments for PI, with the most patients receiving HSCT, then gene therapy and PEG-ADA (Table 7). These treatment methods were examined in nine geographical regions in 2021. Gene therapy was reported in the greatest number of patients in Western Europe.
Table 7

Other treatments by region

USCanadaLatin AmericaWest EuropeEast EuropeMiddle EastAsiaAustraliaAfricaGlobal totals
Patients treated by transplant1628387373280867576629035707032
Patients treated by gene therapy8913911975204248
Patients treated with PEG-ADA498451102101126
Total1766408386297869277329335757406

The number of patients with severe PIs reported to receive gene therapy, PEG-ADA, or a hematopoietic stem cell or thymus transplant by region, 2021

Other treatments by region The number of patients with severe PIs reported to receive gene therapy, PEG-ADA, or a hematopoietic stem cell or thymus transplant by region, 2021 As practices in HSCT have been evolving, greater detail in the use of this treatment was pursued. For patients reported to receive HSCT, stem cell donor type was assessed from 2013 to 2021. The number of patients treated by HSCT increased by 201%. Further, there was a 249% increase in matched donor transplants, a 190% increase in matched unrelated donor transplants, a 183% increase in mismatched unrelated donor transplants, and a 162% increase in parental haplo transplants (Table 8). Stem cell donor type was examined in nine geographical regions in 2021. The most common stem cell donor type globally was matched unrelated, followed by matched related (Table 9). In the Middle East, Africa, and Eastern Europe matched related was the most common stem cell donor type. In Western Europe and Australia, parental haploidentical transplants accounted for 28% of HSCT, markedly more than the other regions.
Table 8

Stem cell donor type used for patients having received HSCT

202120182013% change (%)
MRD
 US29022976281.6
 INT’L16241103472244.1
 Global19141332548249.3
MUD
 US535362151254.3
 INT’L14831162544172.6
 Global20181524695190.4
mMUD
 US16013829451.7
 INT’L302211134125.4
 Global462349163183.4
Parental haplo
 US21812657282.5
 INT'L906727372143.5
 Global1124853429162.0
Total
 US1203855313284.3
 INT'L431532031522183.5
 Global551840581835200.7

The number of patients reported to receive HSCT from matched related donors, matched unrelated donors, mismatched unrelated donors, and parental donors in 2021, 2018, and 2013

Table 9

Stem cell donor type used for patients having received HSCT by region

Donor typeUSCanadaLatin AmericaWest EuropeEast EuropeMiddle EastAsiaAustraliaAfricaGlobal totals
MRD29091108623284398687451914
MUD5352391236662764610021122018
mMUD16031131997302200462
Parental haplo218208357771795211131124
Totals1203381327206563855324239705518

The number of patients reported to receive HSCT from matched related donors, matched unrelated donors, mismatched unrelated donors, and parental donors by region, 2021

Stem cell donor type used for patients having received HSCT The number of patients reported to receive HSCT from matched related donors, matched unrelated donors, mismatched unrelated donors, and parental donors in 2021, 2018, and 2013 Stem cell donor type used for patients having received HSCT by region The number of patients reported to receive HSCT from matched related donors, matched unrelated donors, mismatched unrelated donors, and parental donors by region, 2021 For patients receiving HSCT, the stem cell source was assessed from 2013 to 2021. There was a 224.2% increase in bone marrow as the stem cell source and a 248.7% increase in cord blood (Table 10). Stem cell source in 2021 was examined in nine geographical regions and varied significantly by region. It was reported that 56.9% of transplants in Latin America used bone marrow, compared to 61% globally (Table 11). In the Middle East, 36.3% of transplants used peripheral stem cells, compared to 24.4% globally, and 35.6% of the transplants used cord blood in Asia, compared to 12% globally.
Table 10

Stem cell

source used for patients having received HSCT

202120182013% change (%)
Bone marrow
 US794585189320.1
 INT’L25391953839202.6
 Global333325381028224.2
Peripheral stem cells
 US22713153328.3
 INT’L1111729401177.1
 Global1338860454194.7
Cord blood
 US15114747221.3
 INT’L515408144257.6
 Global666555191248.7
Total, including “other”
 US1284865290342.8
 INT’L418030971392200.3
 Global546439621682224.9

The number of patients reported to receive transplantation through the source of bone marrow, peripheral stem cells, cord blood, or other stem cell sources in 2021, 2018, and 2013

Table 11

Stem cell

source used for patients having received HSCT by region

Stem cell sourceUSCanadaLatin AmericaWest EuropeEast EuropeMiddle EastAsiaAustraliaAfricaGlobal totals
Bone marrow794217185137430729010330333333
Peripheral stem cells2275662508196190641341338
Cord blood151727819623429383666
Other11210760100127
Totals1284346325208553252226139705464

The number of patients reported to receive transplantation through the source of bone marrow, peripheral stem cells, cord blood, or other stem cell sources by region, 2021

Stem cell source used for patients having received HSCT The number of patients reported to receive transplantation through the source of bone marrow, peripheral stem cells, cord blood, or other stem cell sources in 2021, 2018, and 2013 Stem cell source used for patients having received HSCT by region The number of patients reported to receive transplantation through the source of bone marrow, peripheral stem cells, cord blood, or other stem cell sources by region, 2021 The substantial growth described above is partially due to newborn screening, molecular diagnosis, and NGS, and may need additional evaluation in the future. Notably, some Centers did not report treatment data, potentially due to access issues, data availability, or specific hospital guidelines.

Demographics

Physician-reported patient demographics in 2021 were compared with that of 2018 and 2013. Reports included information on gender for 62,045 patients and on age for 56,187 patients (Table 12). Of these patients, 58% were male and 42% were female, globally. In the US alone, 56.3% were male, and 43.7% were female. It was reported that 64.2% of these patients were 0–19 years old, and 35.8% were 20 + years old, globally. The demographic distribution has largely remained consistent since 2013.
Table 12

Patient gender and age

202120182013
USINT’LGlobalUSINT’LGlobalGlobal% change (%)
Gender
 Male733428,62735,961608519,79025,8753540915.8
 Female569520,38926,084476313,94418,7072803830.6
Total13,02949,01662,04510,84833,73444,5826343878.2
Age
 < 1 year95831484106672221128831492655.7
 1–4 years2712764110,353179749876784
 5–19 years519616,43121,627389411,36615,260
Total pediatric886627,22036,086636318,56424,927
 20–39 years176971618930204258557897
 > 40 years3287788411,171209241116203
Total adult505615,04520,1014134996614,100
Grand total13,92242,26556,18710,49728,53039,0275993837.5

The number of patients by age and gender in the United States and internationally in 2021, 2018, and 2013

Patient gender and age The number of patients by age and gender in the United States and internationally in 2021, 2018, and 2013 Physicians in the JMCN reported on outcomes of their PI patients 1-year pre and 1 year post diagnosis, including episodes of specific infections, days in the hospital, ER and office visits, days on certain medications, and missed school or workdays. For each condition analyzed, the average number of reported episodes decreased after diagnosis, as did the number of hospital days, ER and office visits, days on antibiotics, and missed school or workdays, resulting in overall decreased morbidity and mortality. Importantly, early diagnosis also reduced estimated healthcare costs (using US cost bases), even with routine IgG replacement therapy (Table 13). Each diagnosed patient translated to a $97,488 annual savings to the healthcare system. The savings remain at $87,888 annually, even for diagnosed patients treated with IgG.
Table 13

PI post-diagnosis average annual estimated savings with and without IgG

ConditionPre Dx average no. of episodesPost Dx average no. of episodesCost per episodePre Dx annual costPost Dx annual costPost Dx average annual savings
Persistent otitis media4.21.6$607$2549$971$1578
Serious sinus and upper respiratory infections4.62.1$1125$5175$2362$2813
Viral infections3.71.4$2038$7540$2853$4687
Acute bronchitis3.10.8$468$1450$374$1076
Bacterial pneumonias2.80.6$4748$13,294$2848$10,446
Chronic obstructive pulmonary disease and bronchiectasis4.31.4$2136$9184$2990$6194
Hospitalization days19.83.1$2607$51,618$8081$43,537
Physician/ER visits70.811.7$367$25,983$4293$21,690
Days on antibiotics166.272.8$5$831$364$467
School/work days missed33.98.9$200$6780$1780$5000
Total per patient without IgG$124,404$26,916$97,488
Total per patient treated with IgG [impact of IgG treatment weighted for 32% of identified patients in database (average annual cost of IgG ($30,000) × 32%)]$124,404$36,516$87,888

The estimated costs of the most frequent conditions affecting PI patients pre- and post-diagnosis and the post-diagnosis average annual savings with and without IgG

PI post-diagnosis average annual estimated savings with and without IgG The estimated costs of the most frequent conditions affecting PI patients pre- and post-diagnosis and the post-diagnosis average annual savings with and without IgG

Discussion

The JMCN

The JMCN was developed by JMF to meet the rising need for specialized centers to accommodate the increasing patient population and to create the infrastructure needed to promote research, early diagnosis, and proper treatment. Physicians in the JMCN have reported continued growth in the identification, diagnosis, and treatment of patients with PI in the twenty years since the JMCN was established and education and awareness initiatives were introduced. The JMCN is continuously expanding, and patients with PI are increasingly being identified within the network and in general [26], allowing them to receive earlier diagnosis and appropriate treatment, leading to improved outcomes and QOL. This comprehensive global analysis of physician-reported data on patients with PI demonstrates an increase in diagnosed and treated patients that generally outpaces any overall increase in surveys returned to JMF. The considerable growth in patients can likely be attributed to newborn screening, education and awareness activities, molecular diagnosis, and increased availability of genetic diagnostics including NGS platforms. There continue to be notable regional differences within the JMCN, likely due to founder effects and consanguinity increasing the prevalence of certain defects [15, 27]. This should inform future awareness campaigns, which can be developed to address the unique needs of each geographical region. Efforts, such as continuing medical education, can be focused and tailored to identify risk categories more accurately through further assessment of specific genes. Opportunities for targeted education and resourcing should be enhanced to embolden experts who can truly impact outcomes for patients with PI to hopefully save lives. Although the reported proportion of patients found with a specific defect has decreased by about 10% over the previous eight years, there was an overall increase in patients reported and a 4% total reduction in patients reported with an unspecified defect, since 2018. The recent less dramatic rise in patients found with a specific defect is likely a consequence of the JMCN continuously expanding into regions with limited to no access to molecular diagnosis and genetic sequencing. Although patients with PI are being identified at an increasingly higher rate and there are meaningful advancements in genomic technologies underway, further improvements need to be made. Additionally, a limitation of this analysis is the presence of missing responses. To mitigate this limitation and reduce missing responses in the future, serious consideration is being given to transitioning to the use of electronic forms with each field requiring a response within a specified range when appropriate. Over the previous few decades, there has been a drastic improvement in patient outcomes across the spectrum of PI diagnoses due to early recognition [28-30]. In addition to the seemingly obvious improvements in outcomes for patients, early recognition of PI results in annual estimated savings to the healthcare system (US-based) for each diagnosed patient of $97,488. Even when accounting for diagnosed patients receiving IgG, annual estimated savings to the healthcare system is remarkable, at $87,888. Although assigning a dollar amount to a life is impossible, four agencies determined that amount to be $9.7 million, by considering certain factors that contribute to society including productivity, spending, healthcare costs, and taxes [31]. This estimate assumes a lifespan of 70 years on average with a value of $135,714 per year. These cost savings emphasize the critical need for early and accurate diagnosis and appropriate treatment, which ultimately lead to improved outcomes and lives saved. National health spending in the US from 2019 to 2028 is expected to rise at a 5.4% average annual rate, reaching $6.2 trillion [32]. Individual spending rose at a 4.3% average annual rate between 2014 and 2018 [23]. Notably, costs were restrained by utilization of outpatient care and a growing proportion of the US population receiving coverage through the Affordable Care Act. Importantly, the economic impacts were determined to be even greater than our previous estimates in a study assessing the economic effect of infections in PI patients obtaining IVIG therapy [33]. Cost-effective strategies in all aspects of healthcare, from diagnosis to treatment, are imperative to reduce the economic burden on individuals and the healthcare system.

JMF initiatives

SPIRIT® (Software for Primary Immunodeficiency Recognition, Intervention, and Tracking) Analyzer was developed by JMF as a cost-effective strategy to further expedite the early diagnosis of patients with PI. The SPIRIT® Analyzer identifies at-risk patients by matching 352 ICD-10 codes to JMF’s 10 Warning Signs of PI (Figs. 1, 2). The software analyzes over one million claims per hour in large existing datasets and establishes low-, medium-, and high-risk categories by calculating risk points. It also uses current National Drug Pharmacy and Healthcare Common Procedure codes and data on dosage and frequency to calculate antibiotic use risk scores. The software was recently used prospectively in a contained health care coverage system [34] and is made available to providers and healthcare insurance companies as a public service by JMF. The SPIRIT® Analyzer provides an opportunity to notify providers of patients at risk for having a PI. These at-risk patients can then ideally obtain timely access to appropriate assessment, which ultimately leads to shortened time to diagnoses, improved outcomes and QOL. This early identification of patients with PI is predicted to be associated with considerable healthcare cost savings and the JMF is hopeful for increased utilization of this tool. The initiation of SCID newborn screening programs, improvements in diagnostics, and advancements in genomic technologies over the past few decades have allowed for better prevalence estimates and have resulted in improved comprehension of PI and the causal mechanisms leading to monogenic defects of the immune system. To further improve diagnostics, and therefore our overall understanding of PI and its prevalence, JMF’s Physician Algorithm: 4 Stages of Testing for PI has recently been updated in 2021, as seen in Fig. 9. However, there are still many undiscovered PIs. More of these causative defects will be discovered through further investigation of gene candidates and with the advancement of NGS technologies, which will improve our comprehension of disease mechanisms and of the immune system overall [35]. It is vital that global access advances at equal pace with these genetic technologies, to limit diagnostic inequalities.
Fig. 9

Physician Algorithm: JMF’s 4 stages of testing for PI

Physician Algorithm: JMF’s 4 stages of testing for PI Suspected PI patients with no genetic diagnosis often undergo a costly, time-consuming, and arduous diagnostic odyssey, delaying proper disease management and treatment, prolonging suffering, and decreasing QOL. NGS, which can mitigate this diagnostic odyssey, is unfortunately frequently unobtainable due to cost and inaccessibility. In 2019, to address the issue of accessibility and contribute to the advancement of these technologies, JMF initiated a free NGS pilot program for JMCN patients clinically diagnosed with a PI [36], which aimed to identify a specific defect, providing medical professionals a precise diagnosis for appropriate management and treatment, and highlight the value of PI NGS through the JMCN. Twenty-one JMCN sites, in 10 countries, were invited to participate. One hundred and fifty-eight patients were tested, using a commercially available PI NGS panel, which included 207 genes at the time, and 21% received a molecular diagnosis. Through NGS, clinical diagnosis, disease management, treatment, and genetic counseling were altered in a substantial number of patients. Importantly, nearly half of the patients experienced a change in outcomes and there was an available therapy for nearly all diagnosed patients. This pilot [36] demonstrated the cost-efficiency, utility, and critical importance of NGS for PI. Building on the success of the pilot program, JMF rolled this program out globally in early 2020, offering the entire JMCN an opportunity to participate. The gene panel was expanded from 207 to 407 genes, representing ~ 95% of the PI genes recognized by the IUIS. The program is ongoing, and critical feedback is being collected to further assess access challenges and impact on disease management and treatment. The program has been impactful thus far, and we are enthusiastic about its continuing success as we look to expand access beyond the JMCN globally. We believe the initiative showcases the impact, importance, and necessity of NGS for suspected PI patients, as well as the benefit of a true network of expert immunologists. With the continued advancement of molecular technology, genome sequencing is becoming more common [37]. The resulting increasing numbers of medically actionable genotypes are driving the concept of “personalized medicine”. As this technology advances, rare genotypes will be identified and known genotypes will be “immunophenotypically” expanded [37]. Soon, the complete genomes of newborns could be routinely sequenced [38], offering unprecedented insight into and foresight for a variety of health conditions including those of the immune system. At present, 450 PI defects have been identified [2, 17, 39]. Over the last 5 years, at least 100 new genes were discovered by investigators within the JMCN, through molecular diagnosis, genetic sequencing, and advanced immunobiological investigations. The JMCN and its member physicians and investigators have continued to advance toward novel cures, including innovations in re-programming SCID mutations in hematopoietic stem cells using CRISPR technology and genome editing [40], and Antiviral T cell immunotherapy [41, 42]. This comprehensive global analysis of physician-reported data on patients with PI demonstrates an increase in the diagnosis of numerous genotypes throughout the JMCN. In addition to providing the foundation for early diagnosis and appropriate treatments, the JMCN serves as a longstanding and growing platform for collaboration and cutting-edge research, with coordinated and open access to expert immunologists, to promote further meaningful advancements in the field of PI, including gene discovery [10, 14, 43, 44].

Conclusions

The JMCN has steadily and substantially grown for more than two decades and continues to meaningfully influence the global Immunology community. In addition to building an extensive global patient database, the expanding JMCN serves as a unique and critical resource, providing the infrastructure for earliest diagnosis, optimized treatments, and implementation of standard-of-care and best practices. The JMCN provides a much-needed platform that facilitates the education of physicians and patients, awareness initiatives, and research advances, through collaboration and connectivity, ultimately resulting in improved outcomes and QOL for patients with PI. Additional file 1: Figure S1. 2020–2021 Global Survey on Primary Immunodeficiencies. A survey developed by JMF for members of the JMCN following the most recent Classification of PI from the IUIS Expert Committee. Additional file 2: Table S1. Percentage of Missing Responses by Variable. The percentage of missing responses by variable, which ranges from 0.0 to 97.3% (n = 300). Variables correspond to the 2020–2021 Global Survey on Primary Immunodeficiencies. To note, for all variables other than demographics, a missing response was interpreted as a “zero” in that the physician did not have any patients having that particular condition or receiving that particular treatment.
  34 in total

1.  Common variable immunodeficiency: clinical and immunological features of 248 patients.

Authors:  C Cunningham-Rundles; C Bodian
Journal:  Clin Immunol       Date:  1999-07       Impact factor: 3.969

2.  Global study of primary immunodeficiency diseases (PI)--diagnosis, treatment, and economic impact: an updated report from the Jeffrey Modell Foundation.

Authors:  Vicki Modell; Bonnie Gee; David B Lewis; Jordan S Orange; Chaim M Roifman; John M Routes; Ricardo U Sorensen; Luigi D Notarangelo; Fred Modell
Journal:  Immunol Res       Date:  2011-10       Impact factor: 2.829

Review 3.  The association between parental consanguinity and primary immunodeficiency diseases: A systematic review and meta-analysis.

Authors:  Hasti Hadizadeh; Masoud Salehi; Shabnam Khoramnejad; Kia Vosoughi; Nima Rezaei
Journal:  Pediatr Allergy Immunol       Date:  2017-02-22       Impact factor: 6.377

4.  Long-term outcomes of 176 patients with X-linked hyper-IgM syndrome treated with or without hematopoietic cell transplantation.

Authors:  M Teresa de la Morena; David Leonard; Troy R Torgerson; Otavio Cabral-Marques; Mary Slatter; Asghar Aghamohammadi; Sharat Chandra; Luis Murguia-Favela; Francisco A Bonilla; Maria Kanariou; Rongras Damrongwatanasuk; Caroline Y Kuo; Christopher C Dvorak; Isabelle Meyts; Karin Chen; Lisa Kobrynski; Neena Kapoor; Darko Richter; Daniela DiGiovanni; Fatima Dhalla; Evangelia Farmaki; Carsten Speckmann; Teresa Español; Anna Shcherbina; Imelda Celine Hanson; Jiri Litzman; John M Routes; Melanie Wong; Ramsay Fuleihan; Suranjith L Seneviratne; Trudy N Small; Ales Janda; Liliana Bezrodnik; Reinhard Seger; Andrea Gomez Raccio; J David M Edgar; Janet Chou; Jordan K Abbott; Joris van Montfrans; Luis Ignacio González-Granado; Nancy Bunin; Necil Kutukculer; Paul Gray; Gisela Seminario; Srdjan Pasic; Victor Aquino; Christian Wysocki; Hassan Abolhassani; Morna Dorsey; Charlotte Cunningham-Rundles; Alan P Knutsen; John Sleasman; Beatriz Tavares Costa Carvalho; Antonio Condino-Neto; Eyal Grunebaum; Helen Chapel; Hans D Ochs; Alexandra Filipovich; Mort Cowan; Andrew Gennery; Andrew Cant; Luigi D Notarangelo; Chaim M Roifman
Journal:  J Allergy Clin Immunol       Date:  2016-09-30       Impact factor: 10.793

5.  Primary immunodeficiency diseases: Genomic approaches delineate heterogeneous Mendelian disorders.

Authors:  Asbjørg Stray-Pedersen; Hanne Sørmo Sorte; Pubudu Samarakoon; Tomasz Gambin; Ivan K Chinn; Zeynep H Coban Akdemir; Hans Christian Erichsen; Lisa R Forbes; Shen Gu; Bo Yuan; Shalini N Jhangiani; Donna M Muzny; Olaug Kristin Rødningen; Ying Sheng; Sarah K Nicholas; Lenora M Noroski; Filiz O Seeborg; Carla M Davis; Debra L Canter; Emily M Mace; Timothy J Vece; Carl E Allen; Harshal A Abhyankar; Philip M Boone; Christine R Beck; Wojciech Wiszniewski; Børre Fevang; Pål Aukrust; Geir E Tjønnfjord; Tobias Gedde-Dahl; Henrik Hjorth-Hansen; Ingunn Dybedal; Ingvild Nordøy; Silje F Jørgensen; Tore G Abrahamsen; Torstein Øverland; Anne Grete Bechensteen; Vegard Skogen; Liv T N Osnes; Mari Ann Kulseth; Trine E Prescott; Cecilie F Rustad; Ketil R Heimdal; John W Belmont; Nicholas L Rider; Javier Chinen; Tram N Cao; Eric A Smith; Maria Soledad Caldirola; Liliana Bezrodnik; Saul Oswaldo Lugo Reyes; Francisco J Espinosa Rosales; Nina Denisse Guerrero-Cursaru; Luis Alberto Pedroza; Cecilia M Poli; Jose L Franco; Claudia M Trujillo Vargas; Juan Carlos Aldave Becerra; Nicola Wright; Thomas B Issekutz; Andrew C Issekutz; Jordan Abbott; Jason W Caldwell; Diana K Bayer; Alice Y Chan; Alessandro Aiuti; Caterina Cancrini; Eva Holmberg; Christina West; Magnus Burstedt; Ender Karaca; Gözde Yesil; Hasibe Artac; Yavuz Bayram; Mehmed Musa Atik; Mohammad K Eldomery; Mohammad S Ehlayel; Stephen Jolles; Berit Flatø; Alison A Bertuch; I Celine Hanson; Victor W Zhang; Lee-Jun Wong; Jianhong Hu; Magdalena Walkiewicz; Yaping Yang; Christine M Eng; Eric Boerwinkle; Richard A Gibbs; William T Shearer; Robert Lyle; Jordan S Orange; James R Lupski
Journal:  J Allergy Clin Immunol       Date:  2016-07-16       Impact factor: 10.793

6.  Adoptive immunotherapy for primary immunodeficiency disorders with virus-specific T lymphocytes.

Authors:  Swati Naik; Sarah K Nicholas; Caridad A Martinez; Ann M Leen; Patrick J Hanley; Steven M Gottschalk; Cliona M Rooney; I Celine Hanson; Robert A Krance; Elizabeth J Shpall; Conrad R Cruz; Persis Amrolia; Giovanna Lucchini; Nancy Bunin; Jennifer Heimall; Orly R Klein; Andrew R Gennery; Mary A Slatter; Mark A Vickers; Jordan S Orange; Helen E Heslop; Catherine M Bollard; Michael D Keller
Journal:  J Allergy Clin Immunol       Date:  2016-02-24       Impact factor: 10.793

7.  Health related quality of life in common variable immunodeficiency.

Authors:  Isabella Quinti; Cristina Di Pietro; Helene Martini; Anna Maria Pesce; Francesca Lombardi; Maddalena Baumghartner; Stefania Colantuono; Cinzia Milito; Stefano Tabolli
Journal:  Yonsei Med J       Date:  2012-05       Impact factor: 2.759

8.  Calculation of a Primary Immunodeficiency "Risk Vital Sign" via Population-Wide Analysis of Claims Data to Aid in Clinical Decision Support.

Authors:  Nicholas L Rider; Di Miao; Margaret Dodds; Vicki Modell; Fred Modell; Jessica Quinn; Heidi Schwarzwald; Jordan S Orange
Journal:  Front Pediatr       Date:  2019-03-18       Impact factor: 3.418

9.  Genetic Diagnosis Using Whole Exome Sequencing in Common Variable Immunodeficiency.

Authors:  Patrick Maffucci; Charles A Filion; Bertrand Boisson; Yuval Itan; Lei Shang; Jean-Laurent Casanova; Charlotte Cunningham-Rundles
Journal:  Front Immunol       Date:  2016-06-13       Impact factor: 7.561

10.  Human Inborn Errors of Immunity: 2019 Update on the Classification from the International Union of Immunological Societies Expert Committee.

Authors:  Stuart G Tangye; Waleed Al-Herz; Aziz Bousfiha; Talal Chatila; Charlotte Cunningham-Rundles; Amos Etzioni; Jose Luis Franco; Steven M Holland; Christoph Klein; Tomohiro Morio; Hans D Ochs; Eric Oksenhendler; Capucine Picard; Jennifer Puck; Troy R Torgerson; Jean-Laurent Casanova; Kathleen E Sullivan
Journal:  J Clin Immunol       Date:  2020-01-17       Impact factor: 8.317

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  1 in total

1.  Primary immunodeficiencies in Bulgaria - achievements and challenges of the PID National Expert Center.

Authors:  Elissaveta Naumova; Spaska Lesichkova; Veneta Milenova; Petya Yankova; Marianna Murdjeva; Snezhina Mihailova
Journal:  Front Immunol       Date:  2022-09-22       Impact factor: 8.786

  1 in total

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