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Original Article
163 (
2
); 207-214
doi:
10.25259/IJMR_1850_2025

Experiences from inborn errors of immunity registry of India: A preliminary report

Department of Pediatric Immunology and Leucocyte Biology, ICMR- National Institute of Immunohaematology, Mumbai, Maharashtra, India
Advanced Pediatrics Centre, Postgraduate Institute of Medical Education and Research, Chandigarh, India
Department of Pediatrics, Apollo Hospital, Chennai, Tamil Nadu, India
Department of Paediatric Haemotology and Oncology, Apollo Hospital, Chennai, Tamil Nadu, India
Department of Medical Genetics, Nizam’s Institute of Medical Sciences, Hyderabad, Telangana, India
Department of Clinical Immunology and Rheumatology, Nizam’s Institute of Medical Sciences, Hyderabad, Telangana, India
Department of Pediatrics, Jawaharlal Institute of Postgraduate Medical Education & Research, Puducherry, India
Institute of Medical Genetics & Genomics, Sir Gangaram Hospital, New Delhi, India
Division of Delivery Research and Implementation Research, Indian Council of Medical Research, New Delhi, India

#Equal contribution

NRROID Registry PID contributors group (arranged as per alphabetical order of Institutes): All India Institute of Medical Sciences, Bhopal: Amber Kumar, Bhavana Dhingra, Narendra Chaudhary; All India Institute of Medical Sciences, Nagpur: Meenakshi Girish; Apollo Hospital, Chennai: Hima Bindu Vipparthi; Aster CMI Hospital, Bengaluru: Sagar Bhattad; Bai Jerbai Wadia Hospital for Children, Mumbai: Mukesh Desai Vijaya Gowri, Vaishnavi Iyengar, Prasad Taur; Calicut Medical College: Geeta Govndraj; Colours hospital, Nagpur: Girish Subramaniam; Government Medical College, Kottayam: Harikrishnan; ICH, Chennai: Sarath Balaji; ICMR-National Institute of Immunohaematology Mumbai: Umair Bargir, Maya Gupta, Aparna Dalvi, and Shweta Shinde; Jawaharlal Nehru Medical College, Belagavi: Abhilasha Sampagar, Kanchi Kamakoti Child Trust Hospital, Chennai: Meena Sivasankaran; Kasturba Medical College, Mangalore: Harsha Prasad; Lokmanya Tilak Municipal General Hospital and Lokmanya Tilak Municipal Medical College, Mumbai: Sujata Sharma; MCGM - Comprehensive Thalassemia Care, Mumbai: Mamta Mangalani; Nizam’s Institute of Medical Sciences, Hyderabad: Shagun Aggarwal; Postgraduate Institute of Medical Education & Research, Chandigarh: Manpreet Dhaliwal, Saniya Sharma, Rakesh Pilania, Ankur Kumar Jindal; Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow: Amita Aggarwal; Seth G. S. Medical College and King Edward Memorial Hospital, Mumbai: Chandrakala S; Sir Ganga Ram Hospital, New Delhi: Manas Kalra

For correspondence: Dr Manisha Madkaikar, Department of Pediatric Immunology and Leucocyte Biology, ICMR-National Institute of Immunohaematology, Mumbai 400 012, Maharashtra, India e-mail: madkaikarmanisha@gmail.com

Licence
This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-Share Alike 4.0 License, which allows others to remix, transform, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.

How to cite this article: Yadav RM, Suri D, Singh S, Pandiarajan V, S C, Ranganath P, et al. Experiences from inborn errors of immunity registry of India: A preliminary report. Indian J Med Res. 2026;163:207-14. doi: 10.25259/IJMR_1850_2025.

Abstract

Background and objectives

Global estimates identify about 7,000 rare diseases affecting 6–8% of the population, with 80% being genetic. India lacks comprehensive data on their prevalence, distribution, and natural history. Inborn errors of immunity (IEI) registry was developed by Indian Council of Medical Research (ICMR) as part of a comprehensive multi-centric ‘National Registry for Rare and Other Inherited Disorders’, from centres which expressed interest in contributing to this national database in 2019. This study aims to establish an Indian rare-disease registry to assess disease burden, collect clinical and demographic data, understand natural history, support research on underlying mechanisms, create cohorts for evaluating therapies and orphan products, and strengthen connections among patients, families, and clinicians to improve comprehensive care across the country effectively.

Methods

After ethics approval from the participating centres, data were collected in a structured format developed jointly by ICMR- National Institute of Immunohaematology, Mumbai and Postgraduate Institute of Medical Education and Research, Chandigarh, identified as nodal centres for inborn errors of immunity (IEI) by ICMR. Cases with molecular confirmation of diagnosis or those satisfying the European Society for Immunodeficiencies (ESID) registry working definition in absence of molecular confirmation were included. The Data were compiled in excel format and analysed using Epi Info v7.2.5.0.

Results

Data for 676 patients enrolled between January 2019- October 2024 from six participating centres including ICMR-NIIH Mumbai, PGI Chandigarh, Apollo Chennai, JIPMER Pondicherry, Nizams Institute Hyderabad, and Sir Gangaram Hospital Delhi was analysed. Immunodeficiencies affecting cellular and humoral immunity (CID) and CID with associated or syndromic features (n=187,27.6%), predominantly antibody deficiency (n=146,21.6%), congenital defects of phagocyte number or function (n=117,17.3%) were the most frequent IEIs. The median age of presentation was 16 (IQR 4,63) months and diagnostic delay of 16 (IQR 3,55) months. The presenting clinical manifestations comprised of recurrent infections (n=459,67.9%), autoimmunity or auto-inflammation (n=292,43.2%), adverse effect following immunisation (n=38,5.6%), and malignancy (n=5,0.73%). 103/146 (70%) patients with antibody deficiency received IVIG and 90 (13.3%) IEI patients underwent hematopoietic stem cell transplant. On follow up, 118 (17.4%) patients died due to infections by 2024.

Interpretation and conclusions

The IEI registry developed by ICMR as an attempt to maintain a patient database gives us insights on the demographic, clinical presentation, diagnostic-delay and treatment outcomes of these disorders.

Keywords

Genetics
Infections
Inborn errors of immunity
Primary immunodeficiency
Registry

Inborn errors of immunity (IEI), also known as primary immuno-deficiencies (PID), are a heterogeneous group of disorders characterised by impaired or absent function in one or more components of the immune system. As per the 2024 update of International Union of Immunological Societies (IUIS) classification, 555 different IEIs resulting from mutations in 504 different genes have been identified, which affect various immune response components, including antibodies, B cells, T cells, phagocytes, and the complement system.1 The global effort for a registry for IEIs began almost three decades ago through the European registry which started as a collaborative compilation of data from 26 European countries.2 Almost simultaneously, the US Immunodeficiency Network (USIDNet) initiated a registry of patients diagnosed with chronic granulomatous disease and later expanded to include other IEIs.3 Efforts to collate patient data by individual countries e.g. Japan,4 Iran,5 Kuwait,6 regions e.g. Asia-Pacific and Latin American registries and global initiatives including the Jeffery Modell Foundation have also been made.7 These registries provided an invaluable source of information which guided clinical trials and studies enabling researchers and scientists to answer important clinical questions which could be translated into standard of care for these patients.

With an increasing awareness and recent advances in the diagnosis and management of IEIs in India,8 there was a pertinent need to develop a database of patients to improve our understanding about the burden and spectrum of the disease in India and apprise the policymakers in making decisions to improve patient outcomes. Currently, data regarding IEIs from India is sketchy and limited to publications from limited number of centres in India. Indian IEI registry is part of a multi-centric National Registry for Rare and other Inherited disorders (NRROID) by the Indian Council of Medical Research (ICMR) in 2019,9 to collect data on demography, burden, phenotype, and outcomes with/without treatment for six groups of rare diseases including bleeding disorders, haemoglobinopathies, lysosomal storage diseases, neuromuscular diseases, primary immunodeficiency diseases, skeletal dysplasia, and small molecule disease.

Methods

The “National Registry for Rare and Other Inherited Disorders” is a prospective hospital-based registry which collects data of the diagnosed rare disease patients from the centres which expressed interest in contributing to this national database. As per the IUIS classification, the IEI have been classified into 10 main categories: (I) immunodeficiencies affecting cellular and humoral immunity, (II) combined immunodeficiencies with associated or syndromic features, (III) predominantly antibody deficiencies, (IV) diseases of immune dysregulation, (V) congenital defects of phagocyte number or function, (VI) defects in intrinsic and innate immunity, (VII) autoinflammatory diseases, (VIII) complement deficiencies, (IX) bone morrow failure, and (X) phenocopies of IEI. Centre of Excellence at ICMR-National Institute of Immunohaematology (NIIH) and Post Graduate Institute of Medical Education and Research (PGIMER) Chandigarh, the designated nodal centres for IEI registry by ICMR, jointly developed a detailed data collection instrument, SOPs for data entry and quality criteria for validation of data entered by the contributing centres. The ethical clearance was obtained from the Institutional Ethics Committee of all the participating institutes and written informed consent was obtained from all the participants. Written informed consent from parents and oral assent from children aged 7-12 yr was obtained and for children above 12 yr, written assent along with parental consent was obtained.

Inclusion criteria

Patients with confirmed diagnosis of inborn errors of immunity were enrolled into the registry after informed consent. In the absence of genetic confirmation, we modified the diagnostic criteria defined by the ESID Working Party Criteria for probable case of commonly diagnosed IEIs and those were considered for inclusion in the registry.

Data collection instrument

A data collection proforma was developed as an adaption from the USIDNet proforma and was structured to collect information on demography; family history and consanguinity; clinical information on infections (including organisms isolated), adverse effects following immunisation (AEFI), autoimmune manifestations, autoinflammatory symptoms, malignancy; laboratory investigations comprising of lymphocyte subsets including extended T and B cell immunophenotyping, nitro bluetetrazolium test, immunoglobulin levels, and specialised flowcytometry based investigations, diagnosis including IUIS category of disease, molecular diagnosis, and treatment details. A structured follow-up proforma comprising of development of any new symptoms, treatment details and outcome was also developed. A web-based portal was developed by ICMR team based on the proformas.

Data quality

The quality of the patient data in the registry was ensured at four levels. The first level of data quality was ensured in the “e-form”, where various checks and validations were applied to ensure data correctness. The second level of data quality was the “Site PI”, followed by the ‘nodal centres’, which performed regular quality checks and provide feedback on the portal. Lastly, ‘ICMR’ provided regular feedback and monthly/weekly reports to ensure consistent and quality data entry into the registry. The quality criteria comprised of essential patient information which needed to be included for each individual patient diagnosed with IEI to validate entry into the registry. Patients could be included into the registry only if there was either identified genetic defect or satisfied ESID Clinical Working Party criteria.10 Since IEIs are a large heterogenous group of disorders, quality criteria based on ESID criteria were defined for commonest IEIs diagnosed across centres in India comprising of severe combined immunodeficiency including Omenn syndrome, major histocompatibility complex (MHC) class II deficiency, Dedicator of cytokinesis (DOCK) 8 deficiency, hyper IgM syndrome, hyper IgE syndrome, Wiskott Aldrich syndrome, ataxia telangiectasia, DiGeorge syndrome, X-linked agammaglobulinemia, common variable immunodeficiency, familial hemophagocytic lymphohistiocytosis, autoimmune lymphoproliferative syndrome, chronic granulomatous disease, leucocyte adhesion defect, mendelian susceptibility to mycobacterial diseases, and some autoinflammatory diseases [type 1 interferonopathies, familial mediterranean fever, mevalonate kinase deficiency, cryopyrin associated periodic syndromes (CAPS), TNF receptor associated periodic syndromes (TRAPS)], C1 esterase inhibitor deficiency, complement deficiencies, and marrow failure syndromes.

Various steps were followed for ensuring data quality including defining standard operating procedures (SOPs) for data entry into the registry, mandatory fields for data entry in registry portal itself, nomination of trained staff for entering data at contributing centres, review and validation of uploaded data by nodal centres regularly with any queries regarding the patient registrations communicated to participating centres including completing the missing data, removing duplicates etc.

Data collection

Data were collected after ethics approval from the contributing centres. Data were initially collected in a paper-based format soon after patient diagnosis followed by uploading in the web-based portal. Outcome data was collected through OPD and telephonic follow-ups done annually. Data were exported and compiled in Excel format for analysis using Epi Info v7.2.5.0.

Statistical analysis

Continuous variables were summarised using median (IQR) and categorical variables using proportions. JMF score was calculated for warning signs of IEIs as per Jeffery model foundation’s ten warning signs for screening of cases. The JMF score was defined for each case by calculating the number of warning signs at present. A score of ‘1’ was given to each warning sign. A score of more than two was considered for immunological investigations for suspected IEI. Association of unfavourable outcome death with factors including diagnostic delay more than 6 months, failure to thrive, consanguinity, male gender, haemoglobin less than 10 g/dL at diagnosis, absolute lymphocyte count (ALC) < 1000/µL) was determined using univariable logistic regression and odds ratio with 95% CI was calculated. Variable selection for multivariable logistic regression was done using cut-off P value of 0.2. Adjusted odds ratio with 95% CI was calculated using multivariable logistic regression.

Results

Six participating centres, including the nodal centres ICMR-NIIH Mumbai, PGI Chandigarh, Apollo Chennai, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER) Pondicherry, Nizam’s Institute of Medical Sciences (NIMS), Hyderabad, and Sir Gangaram Hospital Delhi, have together contributed data for 708 IEI patients into the registry. After exclusion of incomplete entries, data of 676 patients enrolled between January 2019 - October 2024 was analysed. Immunodeficiencies affecting cellular and humoral immunity (CID) and CID with associated or syndromic features taken together were the most frequent PID (n=187, 27.6%) with 94 (13.9%) and 93 (13.7%) patients, respectively ( Figure).

Pie-chart showing distribution of patients with inborn errors of immunity across IUIS categories.
Figure.
Pie-chart showing distribution of patients with inborn errors of immunity across IUIS categories.

Demographic and clinical details of these patients are provided in Table I. Median diagnostic delay was 16 (3, 55) months and was maximum in antibody deficiencies, [53 (IQR 12,129) months].The presenting clinical manifestations comprised of recurrent infections in 459 (67.9%) patients, autoimmune or autoinflammatory in 292 (43.2%) patients, adverse effects following immunisation in 38 (5.6%), allergies in 45 (6.7%) and malignancy in 5 (0.73%). The commonest infectious manifestations were respiratory and gastrointestinal infections. The commonest autoimmune and autoinflammatory presentations involved abdominal symptoms followed by skin infections ( Table I). The category-wise genetic diagnosis is presented in Table II.

Table I. Demographic, and clinical details of patients with inborn errors of immunity (IEI) (N=676)
Patient characteristics (N=676) n (%)
Age of presentation in months (median, IQR) 16 (4, 63)
Age at diagnosis in months (median, IQR) 53 (13,128)
Sex (male: female) 219(32):457(68)
Family history
History of consanguinity 155 (22.9)
Affected sibling (with known IEI) 95 (14)
History of Sibling death 94 (13.9)
Affected male members 27 (4)
Clinical presentation*
JMF score ≥ 2 321 (47.5)
Infections 459 (67.9)
Meningitis 28 (4.1)
Upper Respiratory Tract Infections (URTI) 155 (22.9)
Pneumonia 265 (39.2)
Gastroenteritis 87 (12.9)
UTI 28 (4.1)
Abscess 82 (12.1)
Thrush 62 (9.2)
Sepsis 5 (0.7)
Adverse effect following immunisation 38 (5.6)
iVDPV excretion 2 (0.3)
BCG 36 (5.3)
Autoimmunity/autoinflammation 292 (43.2)
Lymphadenopathy 29 (4.3)
Abdominal symptoms 129 (19.1)
Musculoskeletal 45 (6.6)
Osteomyelitis 12 (1.8)
CNS, eyes and ear 43 (6.4)
Skin 127 (18.8)
Allergy 45 (6.6)
Malignancy 5 (0.73)
Percentages add up to >100 due to more than one clinical presentation in same patient
Table II. Molecular spectrum of patients diagnosed with inborn errors of immunity (IEI) (N=239)
IUIS category (number of patients)
I

Immunodeficiencies affecting cellular and humoral immunity

RAG1(6), ADA(5), IL7R(5), RFXANK(3), IL2RG(2), DCLRE1C(1), MALT1(1), NHEJ1(1), REL(1), RFX5(1), ZAP70(1)

II

Combined immunodeficiencies with associated or syndromic features

WAS(17), STAT3(10), PGM(4), ATM(2), DOCK8(2),IKBKB(1), EDA(1), ARPC1B(1), MYSM(1), RMRP(1),ZNF341(1), ZNFX1(1)

III

Predominantly antibody deficiencies

BTK(38), CD40L(1), CD81(1), CD19(1), FOXN1(1),ICOSLG(1), IRF2BP2(1), NFKB1(1), PIK3CD(1),TACI/TNFRSF13B, ICOS(1)

IV

Diseases of immune dysregulation

PRF1(7),RAB27A(5), SH2D1A(2), PEPD(1), CASP10(1), LRBA(1), LYST(1), UNC13D(1), CARMIL2(1)

V

Congenital defects of phagocyte number or function

CYBB(16), NCF1(9), ELANE(6), ITGB2(5), NCF2(3), SLC35C1(2), CYBA(1), FERMT3(1), HAX1(1), VPS45(1)

VI

Defects in intrinsic and immunity

IFNGR1(3), CARD 9(2), CXCR4(2), IRF8(2), IL12B(1), IL12RB1(1), ISG15(1), STAT1GOF(1)

VII

Autoinflammatory disorders

ADA2(6), NOD2(5), LACC1(3), TNFRSF1A(2), DADA 2(1), IL1RAD(1), LPIN2(1), MEN1(1), MVK(1), NLRC4(1), NLRP1(1), NLRP3(1), OTULIN(1)

VIII

Complement deficiencies

SERPIN (8), HAE(7), C1QB(2), C1(1), C1QA(1)

Of 146 and 187 patients diagnosed with antibody deficiency and combined immunodeficiency, respectively, 103 and 47 patients had received IVIG therapy ever, and 90 (13.3%) IEI patients underwent hematopoietic stem cell transplantation (HSCT), of which 80 are doing well on follow up. On follow up of these patients in 2024, 118 (17.4%) of 676 patients who could be followed up had died due to infections. The underlying diagnosis in these patients were immunodeficiencies affecting cellular and humoral immunity (n= 46, 38%) followed by diseases of immune dysregulation (n= 25, 21%), congenital defects of phagocyte number or function (n= 23, 19%), antibody deficiency (n= 10, 8%), combined immunodeficiency with associated or syndromic features (n=9, 7%), defects of intrinsic and innate immunity (n=3, 2.5%) and (n=1, 0.84%) each from complement deficiencies and bone marrow failure.

Patients who had failure to thrive, haemoglobin less than 10 g/dL, absolute lymphocyte count<1000 per mm3 at presentation and history of consanguinity had two times higher odds of death. The odds of dying were less than half if patient was on IVIg or had received HSCT ( Table III).

Table III. Association of factors at diagnosis associated with unfavourable outcome for patients diagnosed with inborn errors of immunity
Variable Died, n (%) OR (95% CI)
Diagnostic delay more than 6 months 46 (6.8) 1.02 (1.01-1.02)
Failure to thrive 60 (8.9) 2.65 (1.71-4.12)
Consanguinity 47 (6.9) 2.76 (1.80-4.23)
Male gender 67 (9.9) 0.60 (0.40-0.91)
Hospitalised more than two times 42 (6.2) 1.17 (0.74-1.84)
Hb<10 g/dL 150 (22.2) 2.45 (1.44-4.15)
Patient underwent hematopoietic stem cell transplant 90 (13.4) 0.48 (0.23-0.99)
Absolute lymphocyte count <1000 per mm3 156 (23.3) 2.09 (1.26-3.46)
On IVIg replacement 180 (26.8) 0.32 (0.10-0.58)

OR, odds ratio; CI, confidence interval

Discussion

This registry is part of the first national level effort by the ICMR to collate data on patients diagnosed with rare diseases. Our registry highlights an effort towards collating observations of IEI diagnoses, genetics, treatment, and survival trends among Indian patients. Largest current IEI cohorts from Asian countries include registry data from Iran, China, and Turkey with reported prevalence of 3.9, 0.2 and 7.2 per 100000 population respectively.7 As observed with the USIDNET and European registries which are the largest IEI databases globally, antibody deficiencies are the most frequent IEI followed by combined immunodeficiencies taken together.11,12

We identified combined immunodeficiencies taken together to be most frequent followed by predominantly antibody deficiencies, followed by congenital phagocytic defects of number and function. Despite being the most prevalent IEI, many studies13-15 including our registry data reports the delay in diagnosis among antibody deficiency to be longer than most other IEIs, emphasising the need of increasing awareness among the clinicians.

Many IEIs can be diagnosed using two simple blood tests - a complete blood count and immunoglobulin level assessment which are easily available. These tests can help identify antibody deficiencies and immunodeficiencies characterised by a severe lack of lymphocytes or granulocytes, which taken together constituted almost half of the diagnosed patients. Two out of five patients had autoimmune or autoinflammatory manifestations, and a high index of suspicion among patients presenting with these manifestations may help in early diagnosis.

The registry database will help determine the burden of IEIs in India and help policy makers make informed decisions. The Ministry of Health and Family Welfare of the Government of India has made provision for the treatment of IEIs under the Rare Disease Policy 2017.16 However, it was observed from our registry data that there is a mismatch between demand and supply of IVIG among our patients diagnosed with antibody deficiency, hence, there is a need for advocacy for sufficient provision of IVIG by the State government. In addition, majority deaths were observed among our patients diagnosed with combined immunodeficiencies, highlighting the need for timely diagnosis and availability of HSCT and prophylactic antibiotics. Hence, data from the registry can help identify gaps in access to diagnostics and treatment of IEIs and also help gather information on availability of expertise for management of these disorders which can help streamline processes under the National Rare Disease Policy. In this direction, the Government of India has also recognised Centres of Excellence across the country for management of different rare diseases; these centres will also eventually serve as sentinel sites for these disorders and also help build capacity in the management of these disorders. The gaps or leads identified in registry data will also help identify areas for future research.

High consanguinity17 highlights that autosomal recessive conditions might be more prevalent in some geographical areas among the Indian population. Cord blood screening or newborn screening in these at-risk highly consanguineous populations might help in early diagnosis and initiating timely management. In addition, genetic counselling and prenatal screening18 for families with an identified genetic defect might help in preventing birth of affected babies. In addition, live vaccine BCG may be deferred in babies born in affected families until IEI has been ruled out.19

Haematopoietic stem cell transplantation (HSCT) is a currently available curative option for patients with IEI in India. There are now over 200 centres in the country performing these lifesaving procedures and over 500 have been performed in the country with 65% overall survival.20 Ninety patients among those enrolled in the registry underwent HSCT. HSCT can now be performed from a matched family donor, matched unrelated donor or a haploidentical donor. Recent advances in graft manipulation have resulted in T cell depletion techniques particularly suited for small babies with comorbidity like children with IEI. Access to care has also improved with government and non-government organisations willing to fund these curative options. The future will see gene therapy available in our country, newborn screening, and early referral with over 90% survival.21,22

The major limitation of the current database is the limited number of participating centres contributing to this national database although IEI patients are being diagnosed and managed by many more institutions across the country. The burden of IEIs is clearly underestimated and improved registration efforts could help in more accurately estimating the burden of the disease and allowing for the allocation of appropriate resources for these disorders. Missing data for family history including consanguinity and affected male members in extended family can be attributed to recall limitation, missing data regarding affected sibling/sibling death may be attributed to sociocultural factors including hesitancy of parents to disclose these details.

Acknowledgment

Authors acknowledge all the referring clinicians around the nation for contribution to the registry.

Author contributions

RMY: Data acquisition, data analysis, statistical analysis, manuscript writing; DS: Data acquisition, manuscript writing; SS: Manuscript writing; VP: Data acquisition; CS: Data acquisition; PR: Data acquisition; RG: Data acquisition; RP: Data acquisition; LT: Data acquisition, manuscript writing; PK: Data acquisition; Almas: Data acquisition; LR: Manuscript writing; RR: Data acquisition; AS: Concept, design, manuscript writing; AR: Concept, design, manuscript writing; MM: Concept, design, Data acquisition, manuscript writing. All authors have read and approve the final printed version of the manuscript.

Financial support and sponsorship

The study received funding support from the Indian Council of Medical Research (Project No:5/7/1571/2016-CH).

Conflicts of Interest

None.

Use of Artificial Intelligence (AI)-Assisted Technology for manuscript preparation

The authors confirm that there was no use of AI-assisted technology for assisting in the writing of the manuscript and no images were manipulated using AI.

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