Biochemical and genetic tools to predict the progression to Cystic Fibrosis in CRMS/CFSPID subjects: A systematic review





Educational aims


The reader will come to appreciate:




  • An analysis of the characteristics of CFSPID individuals who evolve into CF.



  • That the presence of one CF-causing CFTR variant, an initial sweat chloride (SC) ≥ 40 mmol/L or an increase of SC > 2.5 mmol/L/year could allow identification of subjects at risk of progression to CF.



  • That CFSPID individuals with a CF causing variant/VVCC genotype and first SC in the higher borderline range may require more frequent and prolonged clinical follow-up.



Abstract


Objectives


Aim of this study was to identify risk factors for a progression to cystic fibrosis (CF) in individuals detected as CF Screening Positive, Inconclusive Diagnosis (CFSPID).


Methods


This is a systematic review through literature databases (2015–2023). Blood immunoreactive trypsinogen (b-IRT) values, CFTR genotype, sweat chloride (SC) values, isolation of Pseudomonas aeruginosa (Pa) from respiratory samples, Lung Clearance Index (LCI) values in CFSPIDs who converted to CF (CFSPID > CF) and age at CF transition were assessed.


Results


Percentage of CFSPID > CF varies from 5.3 % to 44 %. Presence of one CF-causing CFTR variant in trans with a variant with variable clinical consequences (VVCC), an initial SC ≥ 40 mmol/L, an increase of SC > 2.5 mmol/L/year and recurrent isolation of pseudomonas aeruginosa (Pa) from airway samples could allow identification of subjects at risk of progression to CF.


Conclusions


CFSPIDs with CF causing variant/VVCC genotype and first SC in the higher borderline range may require more frequent and prolonged clinical follow-up.


Introduction


Cystic Fibrosis (CF), the most common life-threatening autosomal recessive and multisystemic disease, is due to alterations in CF Transmembrane Conductance Regulator ( CFTR ) gene that encodes a membrane glycoprotein . Such protein acts as a transmembrane channel by regulating chloride and sodium transport and its alteration or reduction leads to the production of thick secretions within the affected organs, causing progressive lung damage, pancreatic injury and multiorgan involvement . Furthermore, there is a growing number of individuals diagnosed as CFTR-related disorders (CFTR-RD), a clinical condition with evidence of CFTR protein dysfunction that does not fulfil the diagnostic criteria for CF .


The introduction of newborn screening (NBS) allowed early diagnosis of CF and, consequently, the opportunity to commence specific treatments with an improvement of clinical outcome, quality of life and survival . Different NBS protocols are used in different countries even within the same country . All protocols start with the measurement of blood immunoreactive trypsinogen (b-IRT) on dried blood spots at 49–72 h after birth. The second level may include either molecular analysis of CFTR with techniques that explore a limited panel of variants or with the whole gene scanning by next generation sequencing (NGS), or a repeated measurement of b-IRT concentration at the age of 4–6 weeks followed or not by molecular analysis. The sweat test (ST), the gold standard for the diagnosis of CF, is offered to all children positive for NBS and it is considered pathological for levels of sweat chloride (SC) ≥ 60 mmol/L . In most patients with CF the SC is pathological and CFTR gene analysis shows two CFTR causing variants ( https://cftr2.org/ ), however such genotype may be observed even in patients with a SC value in the intermediate (30–59 mmol/l) or normal (<30 mmol/L) range .


Following the enhancement of diagnostic techniques, particularly NGS for CFTR gene scanning, and the increase of the number of subjects screened, a growing and variable number of positive NBS subjects with an inconclusive diagnosis of CF has been identified over years . This cluster of asymptomatic subjects, firstly designated in USA as CFTR-related metabolic syndrome (CRMS), and then in Europe as CF Screen Positive, Inconclusive Diagnosis (CFSPID) , shows elevated b-IRT with persistently intermediate SC levels and fewer than 2 CF causing CFTR variants; or normal SC concentration (<30 mmol/L) and 2 CFTR variants with 0 to 1 known to be CF-causing .


The two terms have been harmonised introducing the definition of CRMS/CFSPID to improve indefinite diagnosis, international communications, and analysis of clinical outcomes . Here, we preferred the shorter term CFSPID throughout the rest of the paper. The number of such subjects (and the ratio between CF and CFSPID cases) revealed by NBS is widely different between countries depending on the different protocols used for NBS and on genetic differences between populations . Over time, a variable percentage of CFSPIDs will be diagnosed as CF owing to a positive ST, a re-classification of CFTR variants as CF causing, or onset of CF-related symptoms (CFSPID > CF) . However, the most probable risk for these children seems the evolution in the CFTR-RD label . Even with the published revised guidance from the European Cystic Fibrosis Society (ECFS) neonatal screening working group , one of most important aspect concerning management and monitoring of CFSPIDs is to early identify those at greatest risk of transitioning in CF. This could avoid overmedicalization of healthy subjects or healthy carriers and properly provide more information to the families of these children, as persistence of an inconclusive diagnosis may cause a negative psychological impact for families, increasing parents’ distress .


Here, we performed a systematic literature review to investigate possible biochemical, genetic and microbiological criteria, which could early identify CFSPIDs who deserve a closer follow-up for the high chance of developing a CF phenotype.


Material and Methods


Literature review


We performed this systematic literature review according to the Preferred Reporting Items for Systematic reviews and Meta-Analysis (PRISMA) , including papers published between January 2015 and December 2022, and using a protocol registered with the International Prospective Register of Systematic Reviews (PROSPERO CRD42023398840).


Two reviewers (SM, FDA) independently conducted searches on electronic databases, including PubMed, Global Health, and EMBASE. The search strategy of each reviewer is detailed in Search Strategy ( Appendix 1 ). Manual searches of the current literature were also performed by referring to Web of Science, Google Scholar, and BMJ Best Practice. The following variations and terms were used: for “cystic fibrosis”, “CF Screen Positive, Inconclusive Diagnosis”, “CFSPID”, “CFTR-related metabolic syndrome”, “CRMS”, “immune-reactive trypsinogen”, “IRT analysis”, “sweat chloride test”, “colonization”, “Pseudomonas aeruginosa” (Pa), “Lung Clearance Index” (LCI), “LCI”, “infants”, “children”, “adolescent”, and “adult”. Lastly, selected references of included papers were searched to find any other relevant documents in accordance with the inclusion criteria.


Inclusion and exclusion criteria


Inclusion criteria were publication in peer reviewed journals, written in any language and including children and/or adults who have been diagnosed with CF. The included publication types were guidelines, meta -analysis and systematic reviews, narrative reviews, original articles, case series, case reports, and letters.


Exclusion criteria were publications not focusing on CRMS/CFSPID in CF paediatric and adult populations. The first screening of the retrieved publications was made according to the title and the abstract.


Results


Included manuscripts’ characteristics


The electronic search resulted in 85 articles that were reduced by 63 after duplicates were removed. Therefore, a total of 22 studies focusing on CFSPID who progressed to CF (CFSPID > CF) were included in this review ( Appendix 2 , Fig. 1 , Table 1 ): 10/22 multicentre retrospective studies, 4/22 multicentre prospective studies, 2/22 monocentre retrospective studies, 1/22 monocentre prospective studies, 3/22 retrospective cross-sectional studies, 2/22 case series. 19/22 studies were performed on children and 3/22 both children and adults. 11/22 papers focused on CFSPID and IRT values ( Table 3 ); 17/22 studies on CFSPID and CFTR gene analysis ( Table 4 ); 16/22 studies on CFSPID and SC values ( Table 5 ); 9/22 studies on CFSPID and Pseudomonas aeruginosa (Pa) isolation ( Table 6 ); 4/22 studies on CFSPID and lung clearance index (LCI) ( Table 7 ) and 5/21 on CFSPID follow-up.




Fig. 1


Flow chart of the literature research for two independent reviewers.


Table 1

Population and number of CF, CFSPID patients included in the selected papers.





































































































































































Authors Year Enrolled population Nr. CF Nr. CFSPIDs Ref.
Ren CL et al. § 2015 1.962 1.540 309
Ooi et al. 2015 162 80 82
Groves T et al. 2015 29 0 29
Levy et al. 2016 376 300 57
Şaşihüseyinoğlu1 et al. 2019 66 12 54
Munck A et al. 2019 126 63 63
Ooi et al. 2019 218 120 98
Terlizzi V et al. 2019 82 32 50
Terlizzi V et al. 2020 43 0 43
Kasi AS et al. 2020 54 19 17
Terlizzi V et al. 2020 19 0 19
Terlizzi V et al. 2021 593 257 336
Ginsburg D et al. 2021 10 0 10
Hatton A et al. 2021 23 0 23
Bauer SE et al. 2021 2.613 45 145
Gonska T et al. 2021 115 0 115
Dolce D et al. 2022 217 0 217
Tosco A et al. 2022 129 30 58
McGarry M et al. § 2022 51.941 46.729 5.212
Fingerhut R et al. 2022 815.899 232 27
Salinas DB et al. 2022 112 53 59
Gunnett MA et al. 2023 1.346 129 63

§ Data from US CFF Registry.


Table 2

Percentage of CFSPID > CF/CFSPID in the different populations.
































































Authors Year CFSPID > CF/CFSPID % Ref.
Terlizzi V et al. 2021 18/336 5.3 %
Tosco A et al. 2022 6/58 10.3 %
Ooi CY et al. 2015 11/82 11.0 %
Ooi CY et al. § 2019 14/98 14.3 %
Gunnett MA et al. 2023 11/63 17.5 %
Salinas DB et al. 2022 12/59 20.3 %
Gonska T et al. 2021 24/115 21.0 %
Munck A et al. 2020 28/63 44.0 %
Groves T et al. 2015 14/29 48.0 %

§ also includes patients from the same authors’ 2015 paper.



Table 3

List of the papers focusing on b-IRT in CF, CFSPID > CF or CFSPID-P.




















































































Authors Year Study Nr. CFSPID Aim Main findings Ref.
Ooi et al. 2015 Multicenter prospective case control 82 To identify CFSPIDs and evaluate outcomes b-IRT value was significantly higher in CF than CFSPIDs
Levy et al.

2016 Two-center retrospective cross sectional 57 To evaluate the concordance between physician diagnoses and consensus guidelines CF and CFSPIDs significantly differed in b-IRT levels
Ooi CY et al.* 2019 Multicenter Prospective study 98
To identify CFSPIDs at risk of developing CF Infants CFSPID > CF had significantly higher b-IRT levels than CFSPID-P
Munck A et al. 2019 Prospective study 63 To characterize the genotypic expression of CFSPIDs No differences in b-IRT value between CFSPID > CF and CFSPID-P
Terlizzi V et al. 2020 Multicenter retrospective study 43 To define the role of the second CFTR variant as a predictive factor of CF evolution in CFSPIDs carrying the D1152H variant IRT values were higher in CFSPIDs with D1152H/CF-causing genotypes
Terlizzi V et al. 2021 Multicenter retrospective study 336 To evaluate the prevalence, clinical data, management, and outcome for Italian CFSPIDs No differences in b-IRT value between CFSPIDs > CF and CFSPID-P
Gonska T et al. 2021 Multicenter prospectivelongitudinal study 115 To describe the clinical course of CFSPIDs No differences in b-IRT value between CFSPIDs > CF and CFSPID-P
Fingerhut R et al. 2022 Multicenter retrospective study 27
To compare b-IRT levels between healthy newborns, CF and CFSPIDs No evaluation of b-IRT levels in CFSPID > CF
Salinas DB et al. 2022 Multicenter retrospective study 59 To describe the progression to a CF diagnosis in CFSPIDs No differences in b-IRT value between CFSPIDs > CF and CFSPID-P

CF = Cystic Fibrosis; CFSPID = Cystic Fibrosis Screen Positive Inconclusive Diagnosis; CFSPID > CF = subjects who progressed to CF; CFSPID > P = subjects who remained CFSPID b- IRT = Immunoreactive Trypsinogen.


Table 4

List of the papers focusing on CFSPIDs and CFTR gene analysis.











































































































































Authors Year Type of study CFSPID > CF
Aims CFTR genetic profile of CFSPID > CF Length of follow up (months) Ref.
Groves et al. 2015 Retrospective case control 14
To describe the clinical course of CFSPIDs with intermediate sweat chloride values 7/14: F508del/unknown variant;
4/14: F508del/R117H
14
Ooi CY et al. 2015 Multicenter prospective case control 9 To identify and evaluate infants with CFSPID most frequent genotypes were
CF causing/R117C or L206W
36
Munck A et al. 2019 Prospective study 63 To characterize the genotypic expression of children with CFSPID 5/28 had at least one R117H;7T CFTR complex allele 90
Ooi C Y et al. 2019 Prospective study 98
To define a correlation between CF level and the degree of CFTR dysfunction to identify CFSPID at risk of developing CF 9/14 reassigned according to genotype;
2/14 had R117H/7T
120
Terlizzi V et al. 2019 Monocenter retrospective study 50 To evaluate prevalence and clinical outcome of CFSPID infants all with CF causing variant/VVCC or S737F, variant typical in Tuscany region 6.6
Terlizzi V et al. 2020 Retrospective analysis 19 To illustrate prevalence, SC trend and outcome of patient with VVCC all with CF causing variant/R117H/7T; D1152H or 5 T;TG12 3.1
Ginsburg D et al. 2021 Case series 10 To illustrate evolution from CFSPID to CF 7/10 had CF causing variant/ 5 T;TG12, 5 T;TG13 or D1152H NS
Terlizzi V et al. 2020 Multicenter retrospective study 43 To define the role of the second CFTR variant as a predictive factor of disease evolution in CFSPID carrying the D1152H variant all with D1152H/CF causing variant 40.6
Terlizzi V et al. 2021 Multicenter retrospective study 336
To evaluate the prevalence, management and outcome of Italian CFSPID subjects 16/18 had CF causing/VVCC, such as 5 T;TG12 or D1152H 40
Hatton A et al. 2021 Case series 23 To describe a CFSPID population performing in vivo and in vitro functional studies 4/23 (17.4 %) CFSPID > CF;
three with CF causing variant/D1152H;
one 5 T;TG12/5T;TG13
84.7
Gonska T et al. 2021 Multicenter prospective, longitudinal study 115 To describe the clinical course of CFSPID 12/24 reassigned according to genotype;
most frequent genotypes were F508del/VVCC, such as R117H;7T or poly T tract
84.7
Tosco A et al. 2022 Multicenter retrospective study 58 To describe the progression to a CF diagnosis for subjects with F508del/5T;TG12 6/58 (10.3 %) CFSPID > CF 72.7
Salinas DB et al. 2022 Multicenter retrospective study 59 To describe the progression to a CF diagnosis 8/12 with one causing variant/5T;TG12, 5 T;TG13 or D1152H NS
Gunnett MA et al. 2023 Multicenter retrospective study 63 To identify features of progression from CFSPID to CF 2/11 reassigned according to genotype;
2/11 with CF causing/R117H/7T
NS

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May 20, 2025 | Posted by in RESPIRATORY | Comments Off on Biochemical and genetic tools to predict the progression to Cystic Fibrosis in CRMS/CFSPID subjects: A systematic review

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