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Design, Development, and Implementation of India’s National Registry for Rare and Other Inherited Disorders
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Almas1
AmlinShukla1✉Email
GarimaGoel2
MadhulikaKabra3
NeerjaGupta3
RenuSaxena3
SheffaliGulati3
ManoranjanMahapatra3
SatheeshChitapuram4
AnupamDutta5
MahalakshmiChandran6
ArunShastry7
JayeshSeth8
ManishaMadkaikar9
AnitaNadkarni9
RuchaPatil9
ReetikaMalikYadav9
ReetaRasaily1
AshooGrover1
PulkitVerma1
ReenaGulati10
AkilaPrashant11
SeemaKapoor12
AtchayaramNalini13
PrajnyaRanganath14
NitaRadhakrishnan15
SurjitSingh16
AmitRawat16
ShubhaRPhadke17
DeeptiSaxena17
RatnaDuaPuri18
SunitaBijarniaMahay18
RKSabharwal18
AnupamSachdeva18
1Indian Council of Medical ResearchNew DelhiIndia
2All India Institute of Medical SciencesBhopalIndia
3All India Institute of Medical SciencesNew DelhiIndia
4Apollo Children’s HospitalChennaiIndia
5Assam Medical CollegeAssamIndia
6Christian Medical CollegeVelloreIndia
7Dystrophy Annihilation Research TrustBangaloreIndia
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FRIGE’s Institute of Human GeneticsAhmedabad
9ICMR-National Institute of ImmunohaematologyMumbaiIndia
10Jawaharlal Institute of Postgraduate Medical Education and ResearchPuducherryIndia
11JSS Medical CollegeMysoreIndia
12Maulana Azad Medical CollegeNew DelhiIndia
13National Institute of Mental Health & NeuroscienceBangaloreIndia
14Nizam Institute of Medical ScienceHyderabadIndia
15Post Graduate Institute of Child HealthNoidaIndia
16Post Graduate Institute of Medical Education and ResearchChandigarhIndia
17Sanjay Gandhi Postgraduate Institute of Medical SciencesLucknowIndia
18Sir Ganga Ram HospitalNew DelhiIndia
Almas1, Amlin Shuklaa1, Garima Goel2, Madhulika Kabra3, Neerja Gupta3, Renu Saxena3, Sheffali Gulati3, Manoranjan Mahapatra3, Satheesh Chitapuram4, Anupam Dutta5, Mahalakshmi Chandran6, Arun Shastry7, Jayesh Seth8, Manisha Madkaikar9, Anita Nadkarni9, Rucha Patil9, Reetika Malik Yadav9, Reeta Rasaily1, Ashoo Grover1, Pulkit Verma1, Reena Gulati10, Akila Prashant11, Seema Kapoor12, Atchayaram Nalini13, Prajnya Ranganath14, Nita Radhakrishnan15, Surjit Singh16, Amit Rawat16, Shubha R Phadke17, Deepti Saxena17, Ratna Dua Puri18, Renu Saxena18, Sunita Bijarnia Mahay18, R K Sabharwal18, Anupam Sachdeva18, and NRROID Registry Group*
1Indian Council of Medical Research, New Delhi, India 2All India Institute of Medical Sciences, Bhopal, India 3All India Institute of Medical Sciences, New Delhi, India 4Apollo Children’s Hospital, Chennai, India 5Assam Medical College, Assam, India 6Christian Medical College, Vellore, India 7Dystrophy Annihilation Research Trust, Bangalore, India 8FRIGE’s Institute of Human Genetics, Ahmedabad, 9ICMR-National Institute of Immunohaematology, Mumbai, India 10Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India 11JSS Medical College, Mysore, India 12Maulana Azad Medical College, New Delhi, India 13National Institute of Mental Health & Neuroscience, Bangalore, India 14Nizam Institute of Medical Science, Hyderabad, India 15Post Graduate Institute of Child Health, Noida, India 16Post Graduate Institute of Medical Education and Research, Chandigarh, India 17Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, India 18Sir Ganga Ram Hospital, New Delhi, India
*The names of the authors under the NRROID Registry Group are provided in the Acknowledgement Section.
(The names of the authors mentioned in the author byline, apart from the first and corresponding author, are in alphabetical order of the institution names, and do not indicate the level of contribution)
aCorresponding Author:
Amlin Shukla
amlin.shukla@icmr.gov.in
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BACKGROUND
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It is estimated that there are approximately 7,000–8,000 rare diseases worldwide. While each rare disease affects a smaller population individually, according to an estimate collectively they impact 3.5–5.9% of the global population amounting to approximately 400 million people globally. (1, 2) According to the World Health Organization (WHO), rare diseases are debilitating, lifelong disorders whose prevalence is less than one per 1,000 persons. However, there is no single, universally accepted prevalence-based definition for rare diseases. Many countries have defined rare diseases in the context of their population, healthcare systems, and resources. (3) In the United States, rare diseases are defined as any condition or disease affecting fewer than 200,000 individuals. In the European Union, rare diseases have been determined to be of low prevalence (fewer than 5 individuals per 10,000). (1) Like many other developing countries, currently India does not have a standard definition for rare diseases. (3) Estimating the exact prevalence of rare diseases in India is challenging due to lack of a comprehensive database, inter-regional disparities, uneven distribution of rare diseases, lack of awareness, and poor access to diagnostic facilities as depicted in Fig. 1. (2, 4)
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Rare diseases have emerged as a global public health concern as they can present any time throughout the life span of an individual. More than 80% of these are genetic in origin, with only around 5% having definitive therapies (5). The key characteristic of rare diseases lies in their notable clinical heterogeneity. Individual rare diseases can manifest with a wide range of symptoms, affecting multiple organ systems. The heterogeneity extends beyond symptoms, encompassing a wide range of underlying genetic mutations, metabolic, and infectious etiologies. (6) It is challenging to understand their natural history and pathophysiology, leading to inadequate clinical expertise and diagnostic skills among clinicians. Due to this lack of awareness and appropriate training amongst healthcare professionals and limited accessibility to specialized diagnostic facilities, several hurdles exist in the management of rare diseases. (7, 8) Research on developing new and affordable diagnostic therapies for rare diseases needs to be intensified for ensuring drug accessibility. (9) India's rare disease research landscape is developing slowly. The Government of India launched the National Policy for Treatment of Rare Diseases (NPTRD) in 2017 which expressively mentioned the challenges in formulating a policy without an evidence base. NPTRD was revised and the National Policy for Rare Diseases (NPRD) was formulated in March 2021, with a vision to promote research and development for the diagnosis and treatment of rare diseases. (10) There is a felt need to generate an India-specific database of rare disease patients that could help fill up the knowledge gap, and assist researchers, healthcare providers and policy makers in developing a better understanding of various aspects of rare diseases within the Indian population. It would also facilitate learning for drug regulators, clinicians, communities, organizations, patients and families. (11)
A patient data registry is a valuable tool that collects data on pre-defined variables of patients in a centralized and systematic manner, contributing effectively towards understanding the presentation and course of the disease. (12) Setting up a rare disease registry is a complex process that requires time, effort, specialized knowledge, and consistency. Several aspects need to be taken care of while setting up the registry, like, the design and development of registry, data quality and assurance, inclusion criteria, and ensuring follow-up. (13) There can be various contexts for each country.
The ICMR initiated the “National Registry for Rare and Other Inherited Disorders (NRROID)” in 2019 with an aim to collect systematic, comprehensive, and high-quality data on rare diseases in India and improve the understanding, of demography, clinical features, diagnosis and management of rare diseases with a unique Indian perspective. The larger goal was to develop a database for aiding policy decisions.
This article aims to provide an overview of our experience in designing, developing, and implementing the NRROID, the challenges faced in the due course, and the steps taken to overcome those challenges. We believe that this information would be helpful for clinicians, researchers and policymakers in understanding the process and complexities of setting up a productive rare disease registry.
Figure 1. Challenges surrounding Rare Diseases that lead to difficulty in diagnosis & treatment
METHODS
Study Design
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Prospective hospital-based observational study.
Study Setting
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The study is currently ongoing at 23 centers across the country as shown in Fig. 2. The centres were selected based on the site-selection criteria mentioned later, which was assessed based on the information provided by all centres. These centers are a mix of government hospitals and private institutions that provide specialized diagnostic facilities and care to rare disease patients.
Figure 2. Centres contributing to the registry
Rare Disease Selection Criteria for inclusion in the registry:
After expert consultation, it was decided to include a group of rare disorders as mentioned in Table 1, which primarily included relatively common and treatable or potentially treatable disorders. The majority of these rare disorders are included in the National Policy for Rare Diseases (NPRD, 2021).
Table 1
Group of Rare Disorders included in the registry
Group I
Storage disorders (Lysosomal Storage Disorders & Glycogen Storage Disorders)
Gaucher’s disease, Mucopolysaccharidosis (MPS) I, MPS II, MPS IV, MPS VI, Pompe’s disease, Fabry’s disease, Hereditary fructose intolerance, Glycogen Storage Disorders (I & III)
Group II
Small Molecule
Inborn Errors of Metabolisms
Phenylketonuria, Homocystinuria, Tyrosinemia, Citrullinemia, Ornithine transcarbamylase deficiency, Maple syrup urine disease, Methylmalonic acidemia, Glutaric aciduria type I, Galactosemia and related disorders
Group III
Hematological Disorders
Hemophilias, Thalassemias, Sickle cell Disease
Group IV
Skeletal dysplasias
Osteogenesis Imperfecta, Achondroplasia
Group V
Primary Immune deficiencies
Severe combined immunodeficiency, Pan hypogammaglobulinemia, Common variable immunodeficiency, X-linked agammaglobulinemia, Chronic Granulomatous Disease
Group VI
Neuromuscular Disorders
Duchenne muscular dystrophy, Spinal Muscular Atrophy, Limb-girdle muscular dystrophies
Inclusion Criteria
Any patient irrespective of age and sex with a confirmed diagnosis of a rare disease falling under one of the above-mentioned disease categories is included in the registry. The diagnosis of a rare disease is confirmed based on the diagnostic criteria added as supplementary material.
Initiation of the Registry and Identification of Various Stakeholders
The registry was initiated by bringing the interested experts in the field together and setting up a charter for the registry. An open call for expressions of interest (EOI) was released by ICMR inviting clinicians and researchers working on rare diseases to become a part of the creation and development of the national rare disease registry. An expert committee screened the EOIs based on the site-selection criteria mentioned below.
Site-selection Criteria:
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Availability of Clinical Geneticist / Interested Pediatrician
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Reasonably high number of cases diagnosed
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Availability of basic Diagnostic & Counseling facilities
After site selection, steering groups were constituted by ICMR including participants from selected sites and experts from various specialties, e.g., Pediatrics, Genetics, Public health, and experts working in the field of rare diseases, to finalize the study proposal, data collection tools, and developing protocols for data entry and quality check. Data governance is overseen by ICMR, which ensures centralized data stewardship. Site investigators may access anonymized data for research purposes with appropriate approvals.
How is Patient Data Collected in the Registry?
Development of Study Tools and Identifying Data Variables
It becomes essential for any patient registry to define the data elements and standardize data collection for rare diseases to maintain uniformity in the dataset. (14) While setting up the registry, one of the important tasks was the finalization of disease-specific case record forms and the selection of only the necessary common data elements (CDE), which would provide an opportunity to fill in the knowledge gap and assist healthcare providers in developing a better understanding of rare diseases. In this registry, patient information is collected in two parts: common socio-demographic information, and in the second part, clinical features, family history including pedigrees, consanguinity, diagnostic delay, molecular, hematological and biochemical diagnostic tests, treatment details- definitive and supportive, quality of life and functionality indicators and expenditure sources for each disease-specific case record form.
Development of a Safe and Secure Web Portal for the Registry
Web platform: The registry web portal consists of a frontend and backend. The platform’s frontend is developed using a robust high-level Python framework, known for encouraging rapid development and producing a clean and pragmatic design and backend is developed using object-relation database system. Open-source technologies have been opted in order to facilitate dynamic evolution of the registry in order to interoperate with other data collection sources. The optimal selection of frontend and backend technologies offers several features that enable meticulous scaling and efficient data workload management. The portal inherently offers capacity to collect longitudinal data of the patient through follow-up at 6-month or annual intervals depending on disease type and availability of patient data, with a very user-friendly interface enabling users from different backgrounds to access the services. The registry portal is scalable with integration capabilities with other data sets and other national and international data collection platforms. The data reporting and analysis engine of the portal has been designed in such a way to allow routine reports as well as raw data access to different stakeholders for in-depth analysis/modelling.
Data Safety and Anonymity: The access to the registry portal is through strict authentication, authorization and accounting principles. The different stakeholders can only gain access thorough pre-defined user credentials followed by enforced authorization cheeks i.e. only site-specific data access to each stakeholder. The data exports are strictly controlled and completely anonymized. Regular data backups are taken and stored on separate machines following the typical standard operating procedures for the data backups. The web portal had also undergone a mandatory security audit and has been certified as safe to host for data collection.
How is Data Quality Ensured in the Registry?
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Ensuring the completeness, accuracy, and timeliness of data collected is essential for any registry. Hence, it becomes vital to devise a robust and effective Quality assurance and Quality check (QA/QC) process. The data quality is ensured at four levels in the registry, which is depicted in Fig. 3: I- e-form, II- Site PIs, III- Nodal Centres and IV- ICMR. Various checks and validations have been implemented at the electronic data entry level, including mandatory fields, numeric value ranges, character limits, specific format entries (such as calendars, numbers, multiple and single select options, and dropdown menus), to ensure that complete and correct data is entered. An error pop-up is displayed on the screen if any field is not filled as per the validation applied and further data entry is not possible without correction of the error. Standardized Standard Operating Procedures (SOPs) were developed and regular centralized and site-specific training sessions are held to ensure data entry consistency across centers.
Some of the participating centres have been designated as nodal centers (for respective disease groups) to check essential and mandatory fields of each rare disease form. For this, a QA/QC web portal is developed to ensure a continuous QA/QC process. They are provided with login credentials for conducting QA/QC on the anonymized data shared by ICMR on the web portal. The QA/QC result becomes visible simultaneously to all the participating sites as QA/QC pass or fail, along with feedback for the ones that have failed in the quality check to improve the accuracy and quality of data. All the sites can resubmit a corrected entry based on the feedback received from the nodal centres. The ICMR team shares monthly and weekly reports with all the sites individually, highlighting the completion status of disease-wise forms, and informing them about their performance during the past month. A visual dashboard is also available to the sites to see their performance.
Figure 3: QA/QC performed at four levels
Maintaining Data Quality: Regular training among the dynamic pool of human resource
The continuity and quality of data entered on the registry portal are significantly impacted by the inflow and outflow of the project staff involved in data entry process at different centres. To overcome this hurdle, group and individual training sessions are conducted for the new project staff as per the need. Regular trouble shooting services are provided by the ICMR data center team for smooth functioning of the registry portal. The site principal investigators (PIs) also ensure that the new staff is familiarized with the registry upon joining. This orientation and guidance help the staff to effectively contribute to the registry by entering correct and quality data in the registry.
Optimizing Registry Performance: Developing a Monitoring and Feedback System
Role and Responsibilities of the Technical Advisory Group (TAG)
It is crucial to establish a Technical Advisory Group (TAG), a group of experts whose responsibility should be to review the progress of the registry regularly. The TAG experts provide critical inputs and expertise to improve the functioning of the registry. It is important to have experts from diverse fields like pediatrics, genetics, public health, and government policy makers for their unique perspectives. The annual reports from the registry are evaluated during yearly meetings of the Technical Advisory Group (TAG) and investigating teams.
Alignment of the Rare Disease Registry with National Policies and Initiatives
The policy on rare diseases is in an evolving phase. The registry mandatorily updates itself with the evolving policy. To date the Government of India has designated 13 institutes from across the country as Centres of Excellence (CoE) for Rare Diseases. These CoEs are equipped with specialized facilities for the diagnosis, counseling, treatment and prevention of rare diseases. Their main responsibility is to provide diagnostic and treatment facilities to rare disease patients apart from education and training to healthcare providers at all levels of healthcare, perform screening and diagnosis among pregnant women and neonates, provide treatment for rare diseases, and conduct research for developing low-cost diagnostics & therapeutics. (10) These CoEs manage a significant number of rare disease patients, and have been mandated to contribute to the registry. The registry also aligns itself by including new rare disorders to the list as and when they become notifiable under the NPRD.
RESULTS:
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As of February 2025, a total of 15,369 patients have been enrolled in the registry for the 6 disorder groups, which encompass 231 rare diseases. The regional distribution depicted that North India accounted for the highest proportion (5229, 34%) of patients enrolled in the registry, followed by South India (4464,29%), Central India (2161, 14%), East India (1708, 11%), North-East India (1094, 7%) and least from West India (713, 5%). The state-wise distribution of patients as per their residential address has been shown in Fig. 4.
Figure 4. State-wise Distribution of Rare Disease Patients as per their residential address
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Fig. 5
Distribution of Rare Disease Patients by Age
Click here to Correct
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Table 2
Demographic and Genetic Characteristics of Rare Disease Patients
Variables*
N(%)
Religion
Hindu
10618 (79.63)
Muslim
1820 (13.65)
Sikh
204 (1.53)
Christian
157 (1.18)
Others
536 (4.02)
Grand Total
13335
Monthly Family Income (Rs.)**
< 6323
962 (14.64)
6327–18949
2911 (44.29)
18953–31589
1419 (21.59)
31591–47262
565 (8.60)
47266–63178
292 (4.44)
63182–126356
276 (4.20)
> 126360
147 (2.24)
Total
6572
Positive Family History of Rare Disorders
No
7914 (79.18)
Yes
2081 (20.82)
Total
9995
Family Members affected by Rare Disorders
Sibling
1133 (59.23)
Uncle
381 (19.92)
Cousin
196 (10.24)
Grandmother
71 (3.71)
Mother
59 (3.08)
Father
42 (2.20)
Grandfather
26 (1.36)
Aunt
5 (0.26)
Total
1913
Consanguinity
No
6351 (76.94)
Yes
1904 (23.06)
Total
8255
Degree of Consanguinity
First
33 (5.12)
Second
96 (14.91)
Third
441 (68.48)
Fourth
42 (6.52)
Fifth and more
32 (4.97)
Total
644
*Since these variables are non-mandatory, patient record numbers vary across variables based on data availability
**Monthly income categories adapted from Modified Kuppuswamy Scale 2018 (15)
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Figure 6. Diagnostic delay among rare disease patients
*Storage disorders, Inborn errors of metabolism, Skeletal dysplasia, Dystrophinopathy, Limb Girdle Muscular Dystrophy, Thalassemia, Sickle Cell Disease
Table 3
Disease-wise enrollment of patients in the registry
Disorder Groups
No. of patients enrolled
(N = 15369)
Neuromuscular Disorders
6307
Thalassemia
3276
Storage Disorders
1632
Bleeding Disorders
1399
Inborn errors of metabolism
938
Primary Immune deficiencies
719
Sickle Cell Disease
679
Skeletal dysplasias
419
The average diagnostic delay for Storage disorders, IEM, Skeletal dysplasia, Dystrophinopathy, Limb Girdle Muscular Dystrophy, Thalassemia, Sickle Cell Disease has been found to be 2.39 ± 4.33 years (Median: 1 year). Figure 6 reveals that nearly half of the patients (47.14%) were diagnosed with one of the rare diseases within one year of symptom onset. The highest number of patients enrolled are for Neuromuscular disorders (n = 6307), followed by Thalassemia (n = 3276), Storage disorders (n = 1632) and Bleeding disorders (n = 1399). The detailed disease-wise enrollments in the registry are shown in Table 3.
Apart from the above-mentioned data, information on clinical presentation, diagnosis, management and quality of life specific to the disease condition is available in the registry, but it is beyond the scope of this paper and will be presented in separate papers on disease-specific analyses.
DISCUSSION:
This study provides the first national-level insights into rare disease demographics, diagnostic timelines, and clinical representation in India using real-world data from the NRROID. The setting up of the registry marked a significant step and enabled a structured approach towards collecting, analyzing and comprehending the landscape of rare diseases in India. This study outlines the process of establishing a hospital-based rare disease registry and summarizes early demographic and diagnostic trends. Currently, the registry database consists of 15,369 rare disease patients from across the nation. This database not only aims to enhance clinical understanding and expertise but also informs healthcare policies and improve the access to diagnostic, management and treatment options for the affected patients. The registry also serves as a resource for identifying patient pools for clinical trials and estimating treatment costs for diseases under consideration by NPRD. The regional distribution of enrolled patients depicts a higher burden of rare disorders in North India. However, this concentration may be due to the disproportionate number of contributing centres in this region, as compared to other regions of India. This predominance of centres in North India could be the reason for the skewed regional distribution of patients. Our registry has reported a male predominance (75%) among Indian rare disease patients. Similarly, China’s hospital-based national rare disease registry system reported burden of rare diseases to be higher among males (55.92%). (16) In contrast, findings from the registries of England, Mexico and Tuscany have reported a female predominance with 55%, 73.61% and 54.1%, respectively. (17, 18, 19) In India, social and cultural norms often result in diagnostic bias and gender bias in health-seeking behavior enhance this disparity. Additionally, certain rare diseases, particularly X-linked and few metabolic or neuromuscular disorders, are more prevalent in males, which may also contribute to the observed skewness. The NRROID has reported that the majority of patients (81.15%) are under the age of 18 years, whereas registries from China, England, and Mexico have reported that patients under 18 years account for 36.07%, 25.2% and 33.33%, respectively. (16, 17, 18) Nearly half of the rare disease patients enrolled in the Indian NRROID were diagnosed within one year of symptom onset. This data aligns with the findings of the Spanish Rare Diseases Patient Registry, which reports that 43.6% of patients experienced a delay of less than 1 year in diagnosis. (20) Despite this, a significant portion of patients still experience a prolonged delay in diagnosis since many rare disorders have widely varied phenotypical manifestations.
Countries like England, Italy, and Australia have established population-based rare disease registries as they have centralized data infrastructures, robust national health systems, integrated electronic health records and mandatory reporting mechanisms. (17, 19, 21) In contrast, India lacks a centralized healthcare system and has limited digital integration across public and private sectors. Unlike other countries, India does not follow a unified disease classification and coding system, such as Orpha codes or International Classification of Diseases (ICD) coding, which enable uniform classification and identification of rare diseases. Additionally, there is no mandatory reporting system as not all rare disease diagnoses are systematically reported to any central authority. Low health literacy and stigma surrounding genetic disorders contribute to underdiagnosis and underreporting in India. Hence, due to such limitations, at present it is difficult to establish a population-based rare disease registry in India. Newborn screening data for a limited number of disorders can be a good resource but as it is still not a national program and few states are offering, the data will not be representative for the whole country. We are presently looking at the possibility of extracting data on the carrier status for rare disorders and extrapolating the number of affected individuals from the “Genome India Project” recently completed and preliminary results published (22)
Challenges and Limitations:
This registry was established to overcome the lack of a comprehensive rare disease patient database in our country. However, as a hospital-based registry, it is subject to some limitations.
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The major challenge of this hospital-based registry is the estimation of the true prevalence of rare diseases in our country. Thus, those patients who have not visited these specialized institutes, or those with no access to healthcare services have not been enrolled in the registry at present.
2.
The reporting of rare diseases is limited to common and potentially manageable rare diseases. Most rare diseases suffer from challenge of underdiagnosis; mostly because of under recognition, early death before a correct diagnosis and poor access to adequate diagnostic facilities in each state. Though this leads to the non-reporting of several diseases, however, it ensures good quality data that helps as policy aid for allocating resources helps clinicians in decision making and stimulates further research in drugs and diagnostics.
3.
Follow-up is currently limited to certain disorders as a lot of time was spent on setting up the registry. Following up the patients with no specific treatment being offered is a big challenge.
4.
Since the dataset includes both mandatory and non-mandatory variables, not all patient information is consistently recorded across all variables. As a result, the number of available records varies from one variable to another.
Achievements of the registry:
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The Ministry of Health and Family Welfare is regularly updated about the number of patients enrolled under various categories of rare diseases and their sub-types.
2.
The registry helps to bring visibility through a national register to rare disease patients by identifying the geographical distribution of patients suffering from rare diseases.
3.
This registry establishes a common platform for communication and discussion concerning rare diseases between specialists from different institutes.
4.
It also creates a network of diagnostic facilities available at different institutes for quick referral and increasing the diagnosis rate for rare diseases.
5.
This registry acts as a medium for creating awareness and bridging the knowledge gap among healthcare providers, rare disease patients, their families, the general public, and patient support groups about rare diseases, and the need to support rare disease patients.
Way Forward:
As part of the ongoing efforts to increase visibility and awareness about rare diseases among healthcare providers, policymakers, patients, caregivers, and the general public, it is planned to develop a national rare disease information portal. A new integrated and centralized National Rare Disease Portal will be developed, hence creating an easy path for patients, their families, clinicians, researchers, sponsors, industry and donors to get relevant information and updates about the rare diseases, COEs, and new advances. This would ensure that all the stakeholders are informed and engaged in the decision-making process, leading to improved patient care.
The registry will keep updating itself to keep alignment between diseases added in NPRD and new centres of excellence identified. Also, it is planned to incorporate disease-specific follow-up forms on the registry portal to capture data on the progression and outcome of diseases, and response to various treatment therapies as well as the expenditure details.
Conclusion:
Establishing India's first National Rare Disease Registry is a crucial step towards addressing all the challenges faced by rare disease patients in India. The Registry database could be leveraged as a comprehensive resource for developing targeted therapies, improving treatment protocols, and formulating effective public health policies. As NRROID continues to expand and evolve, it has the potential to become a cornerstone that could significantly benefit the lives of rare disease patients in India. This paper offers an overview of the experiences and challenges in setting up a National Rare Disease Registry and the registry provides foundational insights for guiding rare disease research, policy development, and clinical practice in India and similar healthcare settings.
LIST OF ABBREVIATIONS:
CDE
Common Data Elements
COE
Centre of Excellence
EOI
Expression of Interest
ICD
International Classification of Diseases
ICMR
Indian Council of Medical Research
MoHFW
Ministry of Health and Family Welfare
NPRD
National Policy for Rare Disease
NPTRD
National Policy for Treatment of Rare Diseases
NRROID
National Registry for Rare and Other Inherited Disorders
OPD
Out Patient Department
PI
Principal Investigator
PII
Personnel Identifier Information
QA
Quality Assurance
QC
Quality Check
SOP
Standard Operating Procedures
TAG
Technical Advisory Group
WHO
World Health Organization
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Declarations
Ethical Approval and consent to participate:
Ethical Approval has been obtained from the Institutional Ethics Committees of each of the institutes that are a part of the registry. Written informed consent is taken before enrolling the rare disease patient into the registry, and a participant information sheet is also provided to each participant. Patient data privacy and confidentiality is maintained. All the registry data is stored securely at the study sites with password-protected systems. The physical case record forms are stored in a separate locked cabinet.
Consent for Publication:
Written consent was taken from all the participants before enrolling them into the registry.
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Availability of data and materials:
The datasets generated and/or analyzed during the current study are available from the ICMR upon reasonable request.
Competing interests:
The authors declare that they have no competing interests.
Source of funding:
This registry is being funded by the Indian Council of Medical Research since 2019 (CAR-2019-00-00002)
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Authors' contributions:
The authors A, AS, RR, AG and PV are the employees of the funding agency and have been involved in the study designing, hosting the data management portal, data management and data quality, data cleaning, analysis, preparation and revision of the manuscript. The remaining authors are the principle investigators of the contributing institutes, who are involved in collecting patient data and their enrollment into the registry, ensuring data quality for their respective sites and critical review of the manuscript. The NRROID Registry Group is involved in the data collection and patient enrollment. All authors have read and approved the final manuscript.
Acknowledgements:
NRROID Registry Group:
Bhavna Dhingra, Mukul Gupta, Tulika Seth, Ravi Ranjan, Biswaroop Chakrabarty, Prashant Jauhari, Hima Bindu Vipparthi, Venkataraman Viswanathan, Maya Thomas, Sangeetha Yoganathan, Prince Jacob, Sumaiya Kausar S. Kalaigar, Navyashree Mugur Jagadeesh, Sunil Kumar Polipalli, Seena Vengalil, Shagun Aggarwal, Ankur Agarwal, Mayank Nilay, Umesh Shukla, Deepti Suri, Vignesh Pandiarajan, Ankur Jindal, Naveen Sankhyan, Renu Suthar, Jitendra Sahu, Savita Verma Atri, Arushi Saini, Reena Das, Jasmina Ahluwalia, Amita Trehan, Deepak Bansal, Rakesh Pilania, Alka Khadwal, Arihant Jain, Kausik Mandal, Amita Moirangthem, VK Khanna, Praveen Kumar, Manas Kalra, Sudha Kohli.
The authors also thank All India Institute of Medical Sciences, Jodhpur, Center for Human Genetics, Bangalore, Institute of Child Health and Hospital for Children, Chennai, Institute of Post-Graduate Medical Education and Research, Kolkata, King Edward Memorial Hospital, Mumbai, and Sree Avittam Thirunal Hospital, Trivandrum, Kerala for their contribution to the registry.
Electronic Supplementary Material
Below is the link to the electronic supplementary material
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Total words in MS: 4807
Total words in Title: 14
Total words in Abstract: 0
Total Keyword count: 0
Total Images in MS: 7
Total Tables in MS: 4
Total Reference count: 22