Educational aims
The reader will come to appreciate:
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An analysis of the characteristics of CFSPID individuals who evolve into CF.
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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.
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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.

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 |
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 % |
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 |
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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