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ORIGINAL RESEARCH article

Front. Immunol., 06 January 2026

Sec. Inflammation

Volume 16 - 2025 | https://doi.org/10.3389/fimmu.2025.1735131

This article is part of the Research TopicEvolving paradigms: IL-5's role in eosinophilic pathologies and targeted treatmentsView all 6 articles

From hypereosinophilia to hypereosinophilic syndrome: real-world application of a two-tailed approach for HES diagnosis

Stefania Nicola,*&#x;Stefania Nicola1,2*†Richard Borrelli,&#x;Richard Borrelli1,2†Irene Ridolfi,Irene Ridolfi1,2Luca Lo Sardo,Luca Lo Sardo1,2Simone Negrini,Simone Negrini1,2Monica ForneroMonica Fornero2Nicol Rashidy,Nicolò Rashidy1,2Federica CorradiFederica Corradi1Iuliana BadiuIuliana Badiu1Eleonora CeruttiEleonora Cerutti3Giulia CostanzoGiulia Costanzo4Stefano Del GiaccoStefano Del Giacco4Giovanni Rolla&#x;Giovanni Rolla2‡Luisa Brussino,&#x;Luisa Brussino1,2‡
  • 1Struttura Complessa a Direzione Universitaria (SCDU) Immunologia e Allergologia, Azienda Ospedaliera (AO) Ordine Mauriziano di Torino – C.so Re Umberto, Torino, Italy
  • 2Dipartimento di Scienze Mediche – Università degli Studi di Torino – C.so Dogliotti, Torino, Italy
  • 3Struttura Complessa (SC) Farmacia Ospedaliera - Azienda Ospedaliera (AO) Ordine Mauriziano di Torino – C.so Re Umberto, Torino, Italy
  • 4Medical Science and Public Health, University of Cagliari - Via Università, Cagliari, Italy

Background: Hypereosinophilic Syndrome (HES) is a rare disorder with a heterogeneous clinical presentation. If not recognized, it can lead to diagnostic delay and worse prognosis. Our study aimed to describe the real-world scenario of patients presenting with hypereosinophilia (HE), diagnosed with HES in an Italian Immunology Excellence University Centre. In addition, we also assessed the feasibility of a two-tailed approach for HES diagnosis, which consists of proceeding from the beginning with the differential diagnosis and systematic evaluation of organ damage.

Methods: A retrospective observational single-center study was conducted. All patients underwent blood and instrumental tests to simultaneously identify HES etiology and any organ damage, through a process we called the “two-tailed approach”.

Results: Two hundred forty-seven patients with HE referred to our center underwent the two-tailed approach. Due to either the presence of a straightforward underlying disease associated with HE, or the lack of sustained hypereosinophilia, 168 patients (68.0%) were excluded from the study. Seventy-nine patients (31 females, 39.2%) with a mean age of 54.9 years were finally diagnosed with HES. 19 (24.1%) patients were diagnosed with reactive HES, 15 (19.0%) with overlap HES, 1 (1.3%) with myeloid-HES, 10 (12.7%) with lymphocytic HES, and 8 (10.1%) with idiopathic HES. Sixty-three patients showed involvement of at least two organs: the lung (32/63, 50.7%), the skin (24/63, 38.1%), the bowel (23/63, 36.5%), and the peripheral nervous system (25.4%). Eight patients (8/63, 12.7%) showed heart involvement. The diagnosis was achieved in 4 ± 1.8 months, and no deaths were observed.

Conclusion: HE is a common reason for consultations with allergists and clinical immunologists, and the two-tailed approach, which tests simultaneously for diagnosis and organ damage, should be implemented from the initial evaluation of patients with HE. The lower rate of idiopathic HES diagnosis and the higher frequency of heart involvement we found confirm the usefulness of the tool in reducing the risk of mistakes in classifying HES subtypes and the diagnostic delay, thus allowing prompt and tailored treatment and better outcomes.

Introduction

Eosinophilia, defined as an absolute eosinophil count (AEC) > 0.5  × 109/L, is a rather common condition, with a 1%–2% prevalence in the general population (1). On the other hand, a finding of an AEC >1500 cell/mcl, or hypereosinophilia (HE), is rare, with an estimated incidence of 6.3/100,000/year in the United States and Europe (2).

Indeed, eosinophilia and hypereosinophilia frequently require allergy or immunology consultations due to their association with organ damage or as an incidental finding (2).

In most cases, the clinical manifestations associated with HE clearly depict the underlying diseases, so diagnostic bickering fades quickly. For example, the presence of HE with cytopenia or lymph node enlargement immediately raises the suspicion of an underlying hematological disease, and the patient is immediately referred to the proper specialist. On the other hand, a patient with HE, asthma with aspergillus sensitization, lung infiltrates, and an increase in total IgE is highly suggestive of allergic bronchopulmonary aspergillosis (ABPA). Finally, one with HE, severe asthma, chronic rhinosinusitis with nasal polyps, ground glass lung involvement, skin purpura, and multiplex mononeuritis is likely to be affected with eosinophilic granulomatosis with polyangiitis (EGPA). Table 1 shows the most common conditions and diseases that should be ruled out before considering a diagnosis of HES (non-exhaustive list).

Table 1
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Table 1. The most common conditions and diseases that should be ruled out before considering a diagnosis of HES (non-exhaustive list).

In the case of no promptly identifiable systemic diseases, a thorough assessment of both the causes of HE and organ damage should be done. The presence of HE for more than four weeks, associated with end-organ damage and no other plausible causes of HE, is in fact conventionally defined as Hypereosinophilic Syndrome (HES) (3), a rare disorder (4) with a highly heterogeneous clinical presentation and a very bad prognosis that also includes exitus if not recognized or left untreated (5).

Even though the skin, lungs, and gastrointestinal tract are the most frequently involved, almost all organs can be a target of the effects of long-lasting sustained hypereosinophilia (6, 7). In addition, the eosinophilic involvement of many organs, such as the heart, can be completely asymptomatic for a long period and then suddenly manifest itself with a serious and intractable clinical picture (8).

Despite the fact that many attempts have been made to provide diagnostic and classification algorithms for HES (912), the diagnostic delay is still considerable, in some cases reported up to 20 years (13). In addition, due to the failure to share a rational approach to HES, many patients with HES are still misclassified as idiopathic HES.

Recently, many international consensus (12) focused on the need for a complete diagnostic workup based on a whole assessment of potential causes of HE and the systematic evaluation of organ damage starting from the beginning of the patient’s medical history. Nevertheless, the importance of a proper diagnosis and organ damage assessment has been known for many years (14, 15), even though to date, no data concerning the application of the algorithm in a real-world setting are available.

Hence, our study aimed to describe the real-world scenario of patients presenting with HE not associated with other diseases that were later diagnosed with HES in an Italian Immunology Excellence University Centre. Moreover, we also aimed at highlighting the feasibility of the aforementioned diagnostic assessment, which we defined as a “two-tailed approach” in improving the HES diagnosis and looking for early organ damage.

Patients and methods

A retrospective observational single-center study was conducted. All the adult patients referred for hypereosinophilia (AEC > 1500 cells/mcl on two or more occasions) to the Advanced Unit of Immunology and Allergy of the A. O. Ordine Mauriziano, Turin, Italy, from 2010 to 2020, were included.

On the other hand, the lack of the release in the informed consent or the presence of an AEC < 1500 cell/mcl represented exclusion criteria. Moreover, all the patients referred with hypereosinophilia sustained by another clearly identified cause (i.e., EGPA, ABPA, IgG4-related disease, systemic mastocytosis, infections, inflammatory bowel disease, systemic vasculitis, immunodeficiency, and other autoimmune diseases) (16) were excluded from the analysis.

The study was approved by the local ethics committee (Comitato Etico Territoriale Interaziendale (CET) “A.O.U. Città della Salute e della Scienza di Torino”, protocol code 665.743—dated 10th November 2021), and completely conducted following the Declaration of Helsinki and the latest Best Clinical Practice guidelines. All the enrolled patients released their informed consent for publication.

Data collection

For each patient, data concerning age, sex, smoking habits, clinical examination, a deep medical history including atopic comorbidity, travels, food habits, and home treatments were collected. All the data were retrospectively collected based on their electronic medical records.

Two-tailed algorithm simultaneous approach

According to the 2007 recommendations (14) and based on the extensive diagnostic work-up later recommended in 2010 (15), starting from 2010 we decided to follow a strict medical diagnostic algorithm in all the patients referred to our immunology center for HE. By the first immunology outpatient visit, all the patients were prescribed the medical tests listed below, and the first follow-up visit was usually set between two and four months later.

Therefore, all the enrolled patients followed a two-tailed simultaneous approach to evaluate organ involvement and highlight the underlying cause for HE or HES.

Hence, due to the recommendations of 2007 and 2010, all the patients underwent the exams listed below as a standard-of-care assessment for a rare disease.

Blood tests

All the patients, regardless of symptoms, underwent the following blood tests: complete blood count, liver and kidney function, ESR and CRP, urinalysis, protein electrophoresis, thyroid hormones, CPK, LDH, and blood urea nitrogen/creatinine (17).

HES etiology

To exclude a reactive HES (r-HES), all the patients were assessed for:

- Allergic disorders: complete medical history, including asthma and CRSwNP, was collected; skin prick tests or in-vitro tests (specific IgEs) for perennial and seasonal aeroallergens (grass, ragweed, mugwort, tree pollens, pet dander, house dust mites, and molds), and for anisakis were done in all the patients.

- Drug Rash with Eosinophilia and Systemic Symptoms (DRESS): routine home treatments (i.e., ASA, TMP/SMZ, penicillins, and beta-lactams) were recorded. In addition, anticonvulsants, sulfones and sulfonamides, and allopurinol intake were assessed.

- Helminth infections: stool parasite search, IgG and IgM antibody testing (Thermo Scientific) for Toxocara canis, Schistosomes spp., Trichinella spiralis, Strongyloides stercoralis, and Echinococcus were performed in all the patients. In addition, skin prick tests for anisakis were also performed.

- Other infections: Serology for HIV, HBV, HCV, and Interferon Gamma Release Assay were performed in all the patients.

- Malignancy-associated HES, including lymphoma (T-cell lymphomas and Hodgkin’s lymphoma) and solid tumors, that is, uterus, lung, stomach, colon, bladder, and pharynx, were ruled out through ultrasound and/or abdomen/chest CT scans. In the case of a patient with recent (<6 months) unremarkable imaging already done, no other radiological exams were performed.

- In addition, drug abuse, e-cig use, and the potential risk for metal inhalation were also assessed (10).

To exclude a myeloid (m-HES) or lymphocytic (l-HES) HES (14), the following data were assessed:

- Myeloid HES: in addition to peripheral blood smear examination, the mutations in FGFR1, PDGFRβ, PDGFRα, PCM1-JAK2, and the fusion of the FIP1L1 and PDGFRA genes were assessed.

- Lymphocytic HES: to exclude the presence of a clone of eosinophil cytokine-producing T lymphocytes in all the patients, a lymphocyte subset (CD3+, CD3+CD4+, CD3+CD8+, CD3+CD4-CD8-, CD3+CD4+CD8+, CD3-CD56-, CD5+, CD19+, CD20+, CD38+CD27+IgM-, CD3+CD56+) and the TCR gene rearrangements were searched.

To exclude an overlap form of HES, the patients underwent the following evaluations:

- Allergic Bronchopulmonary Aspergillosis (ABPA): following the last medical algorithm (18) for ABPA diagnosis, all the patients with a history of asthma, cystic fibrosis, or chronic obstructive pulmonary disease (COPD) and chest CT scan abnormalities underwent allergy tests for Aspergillus fumigatus (Af) sensitization and total IgE. In case of positive results, minor criteria for ABPA and Af components were assessed.

- Gleich’s syndrome (cyclic angioedema with hypereosinophilia): in the case of a patient complaining of cyclic or recurrent angioedema and peripheral blood HE, with or without polyclonal IgM increase, surface marker expression was assessed on T cells by flow cytometry. An aberrant CD3-CD4+ T-cell population is commonly detected (19).

- Eosinophilic granulomatosis with polyangiitis (EGPA): a history of asthma and CRSwNP, associated with a necrotizing vasculitis process, are the main features for the suspicion of EGPA (20). In this case, the patients followed an EGPA complete diagnostic work-up, including an ear, nose, and throat (ENT) evaluation and Antineutrophil Cytoplasmic Antibodies (ANCA) lab test.

- Eosinophilia Myalgia syndrome, IgG4-related disease, Sarcoidosis, autoimmune lymphoproliferative syndrome (ALPS), Omenn syndrome, and hyper-IgE syndrome are quite rare clinical conditions. In the suspicion of these disorders, a specific workup was also followed (19).

In the case of HE and organ damage in which eosinophils play critical pathological roles, with some but not all criteria of an eosinophil-associated disorder being met, the patients were diagnosed with overlap HES.

Idiopathic HES (i-HES): after all primary and secondary HE causes have been excluded, the patients were diagnosed with I-HES (19).

Early organ damage detection

Regardless of symptoms, all enrolled patients underwent the following investigations since the first outpatient consultation to highlight any early organ damage (8).

- Lung involvement: A chest X-ray was performed on all the patients, if not performed elsewhere in the last 6 months. In the case of any further suspicion of lung involvement, an HRCT chest scan and lung function tests with diffusion of carbon monoxide (DLCO) were also obtained. Bronchoscopy with bronchoalveolar lavage and lung biopsy were considered third-level exams after a complete pulmonologist work-up was done.

- Heart involvement: Due to the lack of clinical symptoms at the beginning of heart involvement (8), all our patients underwent blood tests to look for abnormalities in NT-pro-BNP and serum troponin T and I levels. A transthoracic echocardiogram and an electrocardiogram were also performed. In case of abnormalities, a cardiac MRI was performed.

- Spleen and liver involvement: all the patients underwent abdomen US to detect any liver or spleen enlargement or inhomogeneity.

The following consultations were also performed if the patient complained of any symptoms suggestive of organ damage.

- Skin: The patient complaining of pruritus, urticaria, angioedema, psoriasis-like signs, itchy papules, nodules, or mouth ulcers was referred to the dermatology consultant, who performed a skin biopsy.

- GI tract: In the case of upper or lower GI symptoms, including nausea, vomiting, diarrhea, weight loss, heartburn, dyspepsia, or abdominal pain, the patient underwent upper or lower endoscopy with biopsy, aiming to evaluate tissue eosinophilia.

- Central or peripheral nervous system (CNS or PNS): if the patient showed any form of sensory or motor neuropathy, headache, visual abnormalities or visual loss, a history of myelitis, meningitis, amnesia, or recent stroke, then electromyography, electroneuronography, and brain MRI were done.

- Hematological system: in case of anemia, leukopenia, low platelets, or increased levels of vitamin B12 and LDH, the patient was referred to a hematologist, and a bone marrow biopsy was then performed. Moreover, the history of deep vein thrombosis or embolic manifestations was considered an indication for hematologic consultation.

- In the case of a patient complaining of other signs or symptoms not listed above, targeted medical tests were performed, to exclude any potential organ damage or comorbidity.

If only one organ was being affected by eosinophil-induced damage (e.g., chronic eosinophilic pneumonia, eosinophilic gastroenteritis…), the HES was classified as associated with single-organ involvement, or “eosinophil-associated single-organ disease” (2).

In patients with long-lasting, unexplained, and asymptomatic HE, who did not show any organ damage, a diagnosis of “hypereosinophilia of undetermined significance” (HEus) was made (21).

Figure 1 shows the diagnostic flowchart that we used in our study.

Figure 1
Flowchart illustrating a two-tailed approach for Hypereosinophilic Syndrome (HES) diagnosis and management. The left side shows HES etiology, divided into reactive, hematological, overlap forms of HES, and idiopathic HES, each with specific diagnostic methods. The right side addresses organ damage, detailing tests for lungs, heart, spleen, and liver in all patients, and additional tests for selected patients based on symptoms. Color-coded boxes indicate different conditions and testing protocols.

Figure 1. Two-tailed diagnostic approach used in the study.

Evaluation of diagnostic delay

Based on the electronic health record (EHR) of the enrolled patients, the time for the diagnosis was calculated as the time interval (months) between the first immunological examination at our center and the formulation of the diagnosis.

Statistical analysis

Statistical analysis was performed using IBM SPSS Statistics for Windows software, version 28 (IBM Corp., Armonk, NY, USA). A descriptive analysis of the studied variables was conducted. The normality of the distribution of continuous variables was evaluated with the Shapiro-Wilk and the Kolmogorov-Smirnov tests. The distribution of the qualitative variables in absolute number and percentage has been reported, and the relative frequency tables have been created. For the quantitative variables, interquartile ranges were calculated based on the normality of the distribution, mean, standard deviation, or median. All the data were first analyzed with a Kolmogorov-Smirnov normality test. Data comparison was then performed using the Student T-test in the case of normally distributed data. Otherwise, the Mann-Whitney non-parametric test for independent samples was used. The comparison between different HES groups was done with a Kruskal-Wallis independent test, whereas the comparison between single HES groups was done through a Mann-Whitney test.

Results

A total of 247 patients with hypereosinophilia were enrolled. Due to either the presence of a straightforward underlying disease associated with HE or the lack of sustained hypereosinophilia, 168 patients (68.0%) were excluded from the study and not considered in the statistical analysis, as shown in Figure 2. Briefly, 45 patients were diagnosed with EGPA and 12 with ABPA. Twenty-seven patients had HE due to parasitic infection, with no organ damage and AEC normalization after treatment. Finally, in 84 patients, the levels of eosinophils were not sustained over time.

Figure 2
Flowchart showing categorization of 247 patients with hypereosinophilia. 168 excluded: 45 EGPA, 12 ABPA, 27 helminth infection, 84 unconfirmed HE. Remaining categorized as reactive HES (19), overlap HES (15), myeloid HES (1), lymphocytic HES (10), idiopathic HES (8), HEus (10), and single-organ HES (16). Further classifications: defined EGPA over time (5), L-HES over time (5), and I-HES over time (5). Note explains helminth infection as HE due to parasitic infection without organ damage and BEC normalization after treatment.

Figure 2. Study design and methods flow-chart.

Therefore, 79 patients (31 females, 39.2%) with a mean age of 54.9 years (range, 14–83 years) were included in the study. The mean AEC at the diagnosis was 5328.2 ± 1032.3 cells/mcl. The median total IgE value was 1670 ± 1676 kU/L, and 21 patients were atopic (26%).

HES distribution using the two-tailed algorithm

At the end of the diagnostic process, the patients were classified as follows: 19 (24.1%) patients were diagnosed with Reactive HES, 15 (19.0%) with Overlap HES, 1 (1.3%) with Myeloid-HES, 10 (12.7%) with Lymphocytic HES, 8 (10.1%) with Idiopathic HES, and 10 (12.7%) with HEus. In addition, 16 patients (20.3%) received a diagnosis of single-organ HES, as shown in Figure 3. Supplementary Table S1 summarizes the different etiologies of HES, the demographic data, clinical manifestations, treatments, and laboratory values.

Figure 3
A 3D pie chart depicting the distribution of types of HES. R-HES is 24%, Overlap HES is 19%, Single-organ HES is 20%, HEus is 13%, L-HES is 13%, I-HES is 10%, and M-HES is 1%. Each segment is color-coded and labeled accordingly.

Figure 3. HES distribution using the two-tailed algorithm.

Reactive HES - HES-R

Nineteen patients (19/79, 24%) were diagnosed with an HES-R, as shown in Table 2. Five patients (5/19, 26.3%) suffered from severe type 2 asthma associated with CRSwNP, 9 had confirmed helminthiasis (47.4%), 4 showed drug reactions with systemic symptoms (21.0%), and in just one case (5.3%) HE was associated with a malignant sarcoma.

Table 2
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Table 2. Distribution of variables in the different R-HES subtypes.

Among patients diagnosed with a helminth infection, two had positive Strongyloides stercoralis IgG antibodies, one positive Toxocara canis IgG antibodies, and one patient showed a positive skin prick test for anisakis. Following the 2010 recommendation of hypereosinophilia (15), all the patients were treated with antihelminths (albendazole 400 mg once a day for a three-day course), with clinical improvement and AEC reduction.

In patients with DRESS, the culprit drugs were carbamazepine in one patient, cefixime in one patient, and allopurinol in two cases.

A patient was diagnosed with Gleich’s syndrome, but due to the clonal pattern of his T-lymphocyte subset, we decided to include it among L-HES.

In the whole R-HES group, the mean BEC was 3257.3 ± 2363.2 cells/mcl, and the mean level of serum total IgE was 1536.3 ± 1408.57 KU/L. The mean onset age was 56.15 years (range 27-73), and 6 (31.6%) were females. The distribution of variables in the different R-HES subtypes is shown in Table 1.

Myeloid and lymphocytic HES - M-HES and L-HES

A patient (male, 46 years old) was diagnosed with M-HES. He showed moderate hypereosinophilia (2450 cells/mcl) and a marked increase in vitamin B12 (>3000 pg/ml). The bone marrow biopsy confirmed the suspicion of myeloproliferative syndrome, and FIP1L1-PDGFRA fusion was found.

In ten patients (10/79, 12.7%), a lymphocytic variant of HES was diagnosed. BEC at diagnosis was highly variable in these patients, with a mean AEC of 4619 cells/mm3 (range 1770–10410 cell/mcl).

All patients showed abnormalities in the TCRγ pattern, that is, monoclonal in one case and oligoclonal in the remaining ones (data not shown).

Overlap form of HES

The Overlap HES diagnosis was made during the first months of follow-up when the two-tailed approach was used. At that time, the clinical distinction between HES and other well-defined diseases, mainly EGPA (21) was unclear, and the patients were then classified as affected with an overlap form of HES/EGPA.

According to the diagnostic and classification criteria (21, 22), and based on their clinical presentations, fifteen patients (15/79, 19.0%) were diagnosed with an overlap form of HES/EGPA.

Among them, six patients were female (6/15, 40%) and globally had a mean AEC of 12162.0 (± 9943 cell/mcl). At the disease onset, none of them showed ANCA positivity. They all had a clinical history of asthma with or without nasal polyps. Five patients (33.6%) also had skin involvement (4 palpable purpura, one urticaria), eight (53.3%) showed peripheral nervous system involvement (4 polyneuropathy, four multiplex mononeuritis), two (13.3%) had glomerulonephritis, and two (13.3%) had gastrointestinal involvement. In five patients (33.3%), the heart was also affected: 3 of them showed myocarditis, and two complained of symptoms suggestive of coronary artery vasculitis. Nine patients (60%) also performed a biopsy, according to the suspected organ damage: five patients underwent a skin biopsy, two a kidney sample, and two a colon biopsy. No vasculitis was demonstrated in all the biopsies, while all the samples showed a marked eosinophilic infiltrate. The histological exam was not performed in six patients, mainly due to the ongoing immunosuppressive treatment. During the ten-year follow-up, 5/15 (33.3.%) patients became positive for p-ANCA and, based on their clinical picture, together with the autoantibody pattern, were then classified as EGPA and not considered for further statistical analysis.

Hypereosinophilia with unknown significance

Ten patients (12.7%) showed persistent hypereosinophilia (AEC 3123 ± 1542.8 cells/mcl) with no evidence of organ damage or other known cause of HE.

The mean age at onset was 54 years (range 16-74), and the sex distribution slightly favored the male sex (6/10, 60%).

Seven patients (70%) developed an idiopathic HES at the end of the ten-year follow-up period, whereas three (30%) showed hematologic involvement with lymphocyte abnormalities.

Idiopathic HES

Eight patients (8/79, 10.1%) were diagnosed with idiopathic HES, with a mean peripheral eosinophilia of 4968 ± 1433 cells/mcl). The mean age at onset was 65.37 years (range 29–83), and 5 (62.5%) were females.

None showed positive skin prick tests nor had a medical history suggestive of allergic diseases. Any reactive, myeloid, or lymphocytic HES causes were excluded.

Comparison of peripheral absolute eosinophil counts among different HES groups

Peripheral eosinophilia was higher in patients with overlap HES than in the other patient groups, as shown in Figure 2. The comparison between Overlap HES and the other HES groups showed significantly higher levels of AEC in the first group (p < 0.001).

Organ involvement

Sixty-three patients (63/79, 79.8%) showed involvement of at least two organs.

The most frequently involved organ was the lung, which was affected in 32 patients (32/63, 50.7%), followed by the skin (24/63, 38.1%), the bowel (23/63, 36.5%) and the peripheral nervous system (16/63, 25.4%). Heart involvement was found in 8 (8/63, 12.7%) of our patients during the follow-up. Kidney involvement (4/63, 6%), deep venous thrombosis (2/63, 3%) and central nervous system involvement (1/63, 1.5%) were far less commonly observed in our cohort, as shown in Figure 3.

Single-organ HES

Sixteen patients (16/79, 20.2%) were diagnosed with single-organ HES: seven patients had gastrointestinal involvement, eight had pulmonary involvement (chronic eosinophilic pneumonia), and one had eosinophilic fasciitis. The mean age at onset was 44.9 yrs (range 17-71), and 7 were females (46), with a mean AEC of 4118 ± 2222 cell/mcl.

Correlations between AEC and organ damage

In the enrolled cohort, the AEC positively correlated with the number of involved organs, as shown in Figures 4, 5 (ρ = 0.216, p = 0.027).

Figure 4
Scatter plot showing AEC (cells per microliter) across categories: l-HES, m-HES, r-HES, Overlap HES, i-HES, HEus, and single-organ HES. Data points vary, with a higher concentration around 10,000 cells per microliter.

Figure 4. Comparison of eosinophilic levels among different HES groups.

Figure 5
Bar chart displaying counts of various body parts. Lung has the highest count at 32, followed by Skin at 24, Bowel at 23, PNS at 16, Heart at 8, Kidney at 4, CNS at 1, and Vessels at 2.

Figure 5. Correlations between AEC and number of involved organs.

In addition, peripheral blood hypereosinophilia was significantly higher in the groups of patients with heart involvement compared with patients of the other groups (p < 0.001), as shown in Figure 6. The AEC was also extremely high in patients with CNS involvement, but no statistical analysis was done due to the limited data (Figures 6, 7).

Figure 6
Box plot showing AEC (EOS/mcl) versus the number of organs involved. Organ numbers on the x-axis range from zero to four. AEC values on the y-axis range from zero to forty thousand. The plot features several outliers and increasing median AEC values as the number of organs involved increases.

Figure 6. Distribution of organ involvement (number) in the enrolled cohort.

Figure 7
Bar chart showing AEC (EOS/mcl) levels across different tissues. Heart has the highest level around 16,000, marked by an asterisk. Other tissues include skin, bowel, kidney, CNS, PNS, vessels, and lung, with varying levels mostly between 5,000 and 14,000. Error bars indicate variability.

Figure 7. Mean AEC according to organ damage.

Therapies

Fifty-five out of 79 (69.7%) of the enrolled patients received systemic steroids, with a mean PDN equivalent dose of 17.5 mg/day. 13/79 (16.5%) were treated with methotrexate, 6/79 (7.5%) with hydroxyurea, 5 (6.3%) with cyclosporin A, 4 (5.1%) with azathioprine, 3 (3.8%) with IV Immunoglobulins, and 2 (2.5%) with imatinib. Nineteen patients received mepolizumab (24.1%) and 3 (3.8%) received rituximab (Table 3).

Table 3
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Table 3. Distribution of treatments in the enrolled cohort.

Diagnostic delay and clinical outcome

Our patients’ diagnosis time was 4 ± 1.8 months, starting from the first outpatient visit. Unfortunately, the time between symptom onset and the diagnosis was longer, estimated at 21.2 ± 8 months. No deaths were seen in our cohort, nor was end-stage organ damage.

Discussion

Hypereosinophilia is a pretty common reason for allergy and clinical immunology consultations. In most cases, HE is isolated and self-limiting, thus not representing any real challenge for diagnostic and therapeutic purposes.

In our real-world experience, more than two-thirds of the initially evaluated patients were excluded from the study, primarily because of a not-sustained HE, which aligns with what happens in other real-life scenarios (23).

In patients with sustained HE, a comprehensive search for potential organ damage is of the utmost importance due to the extremely high rate of organ damage and the risk of end-stage organ damage in the case of a diagnostic delay. About 80% of the enrolled cohort showed at least two damaged organs.

In the last few years, the routine use of a two-tailed approach for HES diagnosis and organ damage detection has become increasingly accepted and implemented (1, 24). Still, no studies have focused on the exact timing of the application of this approach, which is the novelty of our study.

In our experience, the two-tailed approach should be implemented from the first outpatient visit, simultaneously testing for diagnosis and organ damage.

The routine use of the two-tailed approach in our clinical practice, as suggested by many recommendations (15, 16), induced us to search for any possible underlying cause of HE. This led to a very low rate of idiopathic HES, diagnosed only in 10% of our patients, a percentage far below that reported in the published real-world data.

?>In about a fourth of our HES patients, the HE and the organ damage were sustained by an infection or a drug reaction, thus being classified as R-HES. This observation underlines the importance of our approach to HE, considering that the patients had been referred to our center for incidental findings of hypereosinophilia and not due to the suspicion of an underlying disease.

Moreover, 20% of our patients, despite a whole assessment, were diagnosed with single-organ HES, and about 12% showed no organ damage at all (HEus). These data are noteworthy, as it is widely known that many single-organ HES, mainly with gastrointestinal involvement, could then be diagnosed with multisystemic HES (12). Regardless, none of our single-organ HES patients showed any disease progression, but all the patients initially classified as HEus eventually developed organ involvement and were reclassified as i-HES or l-HES, a finding that raises the possibility that HEus may not represent a truly distinct clinical entity but rather an early, pre-symptomatic phase of HES. This observation underscores the need for vigilant long-term monitoring of patients with HEus and may prompt a reconsideration of current clinical approaches to this condition.

The high prevalence of organ damage progression in patients with HEus raises the question of the importance of a comprehensive diagnostic approach. Likewise, it may also justify, both from an economic and ethical point of view towards the patient, the invasive diagnostic tests that should be required at diagnosis and follow-up.

Finally, in terms of organ damage, systematically searching for any tissue involvement, regardless of clinical presentation, has led to early recognition of HE-related cardiac damage in 12% of our patients. This percentage is much higher than that reported in the literature, estimated at around 5% in asymptomatic patients, with a significant increase up to 20% during the follow-up (7).

Based on this finding, we can postulate that the early use of the two-tailed approach in clinical practice allowed us to detect organ damage at a very early stage. As a consequence of that, the early treatment could be a reasonable explanation for the excellent outcome we observed in our patients, as no deaths nor end-stage organ damage were seen in our ten-year period follow-up. This is a remarkable observation, as in much recently published data, the mortality rate was far higher, estimated to be up to 75% in the case of a diagnostic delay (25).

Regarding diagnostic delay, the HES diagnosis in our cohort was carried out in about 4 months, which is far shorter than observed in the literature (10), probably thanks to the comprehensive two-tailed approach we used since the first outpatient visit. On the other hand, no differences were seen between the time of symptom onset and the time of the outpatients’ clinic referral. This could be linked to the low global attention paid to hypereosinophilia and its related symptoms in many clinical settings, as well as the barriers patients often face when getting to a center with HE expertise (2628).

However, our study has some limitations. First, the selection of the patients could be a critical point. The patients referred to our center came from hematologists, gastroenterologists, and oncologists, so patients with clearly depicted clinical pictures were already excluded. Furthermore, the relatively small sample size, although one of the most extensive European case series, may be responsible for some limitations in terms of statistical analysis and comparison between groups.

Finally, the lack of a control group for comparing the efficacy of the two-tailed approach could represent a confounder. The two-tails approach was implemented in all the patients as a clinical practice and wasn’t initially designed as a prospective collection study. Therefore, we assume that further prospective studies on a larger scale, including a control group, are necessary to determine the possible implications and effectiveness of the two-tailed method on early diagnosis and disease follow-up.

In conclusion, HE is a common reason for allergists’ and clinical immunologists’ consultations, and the two-tailed approach, testing at the same time for diagnosis and organ damage, should be implemented from the first evaluation of patients with HE. This will aim at reducing diagnostic delay and the risk of mistakes in the classification of HES subtypes, thus allowing prompt and tailored treatment, as well as better outcomes.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

The studies involving humans were approved by Comitato Etico Territoriale Interaziendale (CET) “A.O.U. Città della Salute e della Scienza di Torino”, protocol code 665.743 - dated 10th November 2021. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.

Author contributions

StN: Writing – review & editing, Writing – original draft, Data curation, Conceptualization. RB: Investigation, Writing – original draft, Writing – review & editing. IR: Writing – original draft, Investigation, Writing – review & editing. LL: Writing – review & editing, Software, Writing – original draft, Investigation, Formal Analysis. SiN: Writing – review & editing, Validation, Formal Analysis, Writing – original draft, Visualization. MF: Resources, Writing – review & editing, Writing – original draft. NR: Writing – review & editing, Investigation, Writing – original draft. FC: Writing – original draft, Writing – review & editing. IB: Validation, Supervision, Writing – review & editing, Writing – original draft. EC: Writing – review & editing, Writing – original draft, Visualization. GC: Writing – original draft, Visualization, Writing – review & editing. SD: Writing – review & editing, Writing – original draft, Visualization, Validation. GR: Writing – review & editing, Conceptualization, Writing – original draft, Project administration. LB: Supervision, Conceptualization, Visualization, Writing – original draft, Validation, Data curation, Writing – review & editing, Project administration.

Funding

The author(s) declared that financial support was not received for this work and/or its publication.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The author(s) declare that no Generative AI was used in the creation of this manuscript.

Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fimmu.2025.1735131/full#supplementary-material

Glossary

ABPA: Allergic Bronchopulmonary Aspergillosis

Af: Aspergillus fumigatus

ALPS: Autoimmune Lymphoproliferative Syndrome

ANCA: Antineutrophil Cytoplasmic Antibodies

ASA: Acetylsalicylic Acid

CBC: Complete Blood Count

CD: Cluster of Differentiation

CPK: Creatine Phosphokinase

COPD: Chronic Obstructive Pulmonary Disease

CRP: C-Reactive Protein

CRSwNP: Chronic Rhinosinusitis with Nasal Polyps

CT: Computed Tomography

CNS: Central Nervous System

DRESS: Drug Rash with Eosinophilia and Systemic Symptoms

DLCO: Diffusing Capacity for Carbon Monoxide

EGPA: Eosinophilic Granulomatosis with Polyangiitis

ENT: Ear, Nose, and Throat

ESR: Erythrocyte Sedimentation Rate

FGFR1: Fibroblast Growth Factor Receptor 1

FIP1L1–PDGFRA: Fusion gene FIP1L1–PDGFRA

GI: Gastrointestinal

HBV: Hepatitis B Virus

HCV: Hepatitis C Virus

HE: Hypereosinophilia

HEus: Hypereosinophilia of Undetermined Significance

HES: Hypereosinophilic Syndrome

HIV: Human Immunodeficiency Virus

HRCT: High-Resolution Computed Tomography

i-HES: Idiopathic Hypereosinophilic Syndrome

LDH: Lactate Dehydrogenase

l-HES: Lymphocytic Hypereosinophilic Syndrome

m-HES: Myeloid Hypereosinophilic Syndrome

MRI: Magnetic Resonance Imaging

NT-pro-BNP: N-terminal pro b-type Natriuretic Peptide

PCM1-JAK2: Fusion gene PCM1–Janus Kinase 2

PDGFRα: Platelet-Derived Growth Factor Receptor Alpha

PDGFRβ: Platelet-Derived Growth Factor Receptor Beta

PNS: Peripheral Nervous System

TCR: T-Cell Receptor

TMP/SMZ: Trimethoprim/Sulfamethoxazole

US: Ultrasound

X-ray: X-ray Chest

References

1. Klion AD. Approach to the patient with suspected hypereosinophilic syndrome. Hematol Am Soc Hematol Educ Program. (2022) 2022:47–54. doi: 10.1182/hematology.2022000367

PubMed Abstract | Crossref Full Text | Google Scholar

2. Lefèvre G, Bleuse S, Puyade M, Moulis G, Néel A, Abisror N, et al. Hypereosinophilia and hypereosinophilic syndromes: first findings from a nationwide multicenter cohort. Allergy. (2025) 80:1100–10. doi: 10.1111/all.16463

PubMed Abstract | Crossref Full Text | Google Scholar

3. Chusid MJ, Dale DC, West BC, and Wolff SM. The hypereosinophilic syndrome: analysis of fourteen cases with review of the literature. Medicine. (1975) 54:1–27. doi: 10.1097/00005792-197501000-00001

PubMed Abstract | Crossref Full Text | Google Scholar

4. Crane MM, Chang CM, Kobayashi MG, and Weller PF. Incidence of myeloproliferative hypereosinophilic syndrome in the United States and an estimate of all hypereosinophilic syndrome incidence. J Allergy Clin Immunol. (2010) 126:179–81. doi: 10.1016/j.jaci.2010.03.035

PubMed Abstract | Crossref Full Text | Google Scholar

5. Minupuri A, Ramireddy K, Patel R, Hossain S, and Salas Noain J. Hyper-eosinophilic syndrome masquerading as myocardial infarction, stroke and cancer. Cureus. (2020) 12:e9630.

PubMed Abstract | Google Scholar

6. Gotlib J, Cools J, Malone JM 3rd, Schrier SL, Gilliland DG, Coutré SE, et alThe FIP1L1-PDGFRalpha fusion tyrosine kinase in hypereosinophilic syndrome and chronic eosinophilic leukemia: implications for diagnosis, classification, and management. Blood. (2004) 103:2879–91. doi: 10.1182/blood-2003-06-1824

PubMed Abstract | Crossref Full Text | Google Scholar

7. Ogbogu PU, Bochner BS, and Butterfield JH. Hypereosinophilic syndrome: a multicenter, retrospective analysis of clinical characteristics and response to therapy. J Allergy Clin Immunol. (2009) 124:3. doi: 10.1016/j.jaci.2009.09.022

PubMed Abstract | Crossref Full Text | Google Scholar

8. Bondue A, Carpentier C, and Roufosse F. Hypereosinophilic syndrome: considerations for the cardiologist. Heart. (2022) 108:164–71. doi: 10.1136/heartjnl-2020-317202

PubMed Abstract | Crossref Full Text | Google Scholar

9. Schuster B, Zink A, and Eyerich K. Medical algorithm: Diagnosis and treatment of the hypereosinophilic syndrome. Allergy. (2020) 75:3003–6. doi: 10.1111/all.14368

PubMed Abstract | Crossref Full Text | Google Scholar

10. Leru PM. Eosinophilic disorders: evaluation of current classification and diagnostic criteria, proposal of a practical diagnostic algorithm. Clin Transl Allergy. (2019) 9:36. doi: 10.1186/s13601-019-0277-4

PubMed Abstract | Crossref Full Text | Google Scholar

11. Valent P, Klion AD, Roufosse F, Simon D, Metzgeroth G, Leiferman KM, et al. Proposed refined diagnostic criteria and classification of eosinophil disorders and related syndromes. Allergy. (2023) 78:47–59. doi: 10.1111/all.15544

PubMed Abstract | Crossref Full Text | Google Scholar

12. Groh M, Rohmer J, Etienne N, Abou Chahla W, Baudet A, Chan Hew Wai A, et al. French guidelines for the etiological workup of eosinophilia and the management of hypereosinophilic syndromes. Orphanet J Rare Dis. (2023) 18:100. doi: 10.1186/s13023-023-02696-4

PubMed Abstract | Crossref Full Text | Google Scholar

13. de Q. Neto MP and Filho FAGG. Idiopathic hypereosinophilic syndrome with 20 years of diagnostic delay. Rev Bras Hematol Hemoter. (2017) 39:170–4. doi: 10.1016/j.bjhh.2016.11.008

PubMed Abstract | Crossref Full Text | Google Scholar

14. Tefferi A and Vardiman JW. Classification and diagnosis of myeloproliferative neoplasms: the 2008 World Health Organization criteria and point-of-care diagnostic algorithms. Leukemia. (2008) 22:14–22. doi: 10.1038/sj.leu.2404955

PubMed Abstract | Crossref Full Text | Google Scholar

15. Roufosse F and Weller PF. Practical approach to the patient with hypereosinophilia. J Allergy Clin Immunol. (2010) 126:39–44. doi: 10.1016/j.jaci.2010.04.011

PubMed Abstract | Crossref Full Text | Google Scholar

16. Simon D and Simon HU. Eosinophilic disorders. J Allergy Clin Immunol. (2007) 119:1291–300. doi: 10.1016/j.jaci.2007.02.010

PubMed Abstract | Crossref Full Text | Google Scholar

17. Curtis C and Ogbogu P. Hypereosinophilic syndrome. Clin Rev Allergy Immunol. (2016) 50:240–51. doi: 10.1007/s12016-015-8506-7

PubMed Abstract | Crossref Full Text | Google Scholar

18. Kang N and Kim TB. Eosinophilic-associated disease overlap: what do we know about it? Allergy Asthma Immunol Res. (2023) 15:539–42. doi: 10.4168/aair.2023.15.5.539

PubMed Abstract | Crossref Full Text | Google Scholar

19. Lukaszewicz R, Mahay G, Boyer O, and Martinet J. Medical algorithm: Aspergillus fumigatus components in the diagnosis of allergic bronchopulmonary aspergillosis. Allergy. (2022) 77:327–30. doi: 10.1111/all.15001

PubMed Abstract | Crossref Full Text | Google Scholar

20. Valent P, Gleich GJ, Reiter A, Roufosse F, Weller PF, Hellmann A, et al. Pathogenesis and classification of eosinophil disorders: a review of recent developments in the field. Expert Rev Hematol. (2012) 5:157–76. doi: 10.1586/ehm.11.81

PubMed Abstract | Crossref Full Text | Google Scholar

21. Masi AT, Hunder GG, Lie JT, Michel BA, Bloch DA, Arend WP, et al. The American College of Rheumatology 1990 criteria for the classification of Churg-Strauss syndrome (allergic granulomatosis and angiitis). Arthritis Rheum. (1990) 33:1094–100. doi: 10.1002/art.1780330806

PubMed Abstract | Crossref Full Text | Google Scholar

22. Valent P, Klion AD, Horny HP, Roufosse F, Gotlib J, Weller PF, et al. Contemporary consensus proposal on criteria and classification of eosinophilic disorders and related syndromes. J Allergy Clin Immunol. (2012) 130:607–12.e9. doi: 10.1016/j.jaci.2012.02.019

PubMed Abstract | Crossref Full Text | Google Scholar

23. Weaver MD, Glass B, Aplanalp C, Patel G, Mazhil J, Wang I, et al. Review of peripheral blood eosinophilia: workup and differential diagnosis. Hemato. (2024) 5:81–108. doi: 10.3390/hemato5010008

Crossref Full Text | Google Scholar

24. Thomsen GN, Christoffersen MN, Lindegaard HM, Davidsen JR, Hartmeyer GN, Assing K, et al. The multidisciplinary approach to eosinophilia. Front Oncol. (2023) 13:1193730. doi: 10.3389/fonc.2023.1193730

PubMed Abstract | Crossref Full Text | Google Scholar

25. Chiu MH and Sharma NC. Myocarditis and eosinophilia: three cases of hypereosinophilic syndrome and myocarditis. CJC Open. (2019) 1:100–2. doi: 10.1016/j.cjco.2019.01.001

PubMed Abstract | Crossref Full Text | Google Scholar

26. Caminati M, Brussino L, Carlucci M, Carlucci P, Carpagnano LF, Caruso C, et al. Managing patients with hypereosinophilic syndrome: A statement from the Italian society of allergy, asthma, and clinical immunology (SIAAIC). Cells. (2024) 13:1180. doi: 10.3390/cells1314118

PubMed Abstract | Crossref Full Text | Google Scholar

27. Nicola S, Caminati M, Borrelli R, Lo Sardo L, Corradi F, Badiu I, et al. Development and implementation of Phleos, a web-based tool for the data collection on Hypereosinophilic syndrome: the Italian Network on HES (INHES) study protocol. Front Immunol. (2025) 16:1638798. doi: 10.3389/fimmu.2025.1638798

PubMed Abstract | Crossref Full Text | Google Scholar

28. Lefèvre G, Ackermann F, and Kahn JE. Hypereosinophilia with asthma and systemic (non-vasculitic) manifestations: Eosinophilic granulomatosis with polyangiitis or hypereosinophilic syndrome? Autoimmun Rev. (2017) 16:208–9. doi: 10.1016/j.autrev.2016.11.001

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: hypereosinophilia, hypereosinophilic syndrome (HES), mepolizumab, two-tailed approach, heart involvement, EGPA, single-center report, EGID

Citation: Nicola S, Borrelli R, Ridolfi I, Lo Sardo L, Negrini S, Fornero M, Rashidy N, Corradi F, Badiu I, Cerutti E, Costanzo G, Del Giacco S, Rolla G and Brussino L (2026) From hypereosinophilia to hypereosinophilic syndrome: real-world application of a two-tailed approach for HES diagnosis. Front. Immunol. 16:1735131. doi: 10.3389/fimmu.2025.1735131

Received: 29 October 2025; Accepted: 19 November 2025; Revised: 18 November 2025;
Published: 06 January 2026.

Edited by:

Emanuele Bizzi, Vita-Salute San Raffaele University, Italy

Reviewed by:

Angela Mauro, ASST Fatebenefratelli-Sacco, Italy
Ruggiero Mascolo, Azienda Ospedaliera Fatebenefratelli e Oftalmico, Italy

Copyright © 2026 Nicola, Borrelli, Ridolfi, Lo Sardo, Negrini, Fornero, Rashidy, Corradi, Badiu, Cerutti, Costanzo, Del Giacco, Rolla and Brussino. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Stefania Nicola, c3RlZmFuaWEubmljb2xhQHVuaXRvLml0

These authors have contributed equally to this work and share first authorship

These authors have contributed equally to this work and share last authorship

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.