Inflammatory Markers in Hemophagocytic Lymphohistiocytosis - a Single Centre Study
Notice bibliographique
Résumé
BACKGROUND Hemophagocytic lymphohistiocytosis (HLH) has significant clinical and biochemical overlap with other cytokine storm syndromes including Adult-Onset Still's disease (AOSD) and COVID-19 cytokine storm (CCS). Diagnosis of HLH is based largely on the HLH-2004 criteria which carry certain limitations. Many of the tests included in these criteria such as flow cytometry for NK cell cytotoxicity and soluble CD25 levels are only available in specialized centres. Moreover, they can take days to weeks to result, leading to delays in diagnosis. Biomarkers that are unique to HLH and more readily available are needed to ensure a timelier diagnosis of this life-threatening disease. C-reactive protein (CRP) is a sensitive marker of inflammation that is driven by IL-6 activity, a cytokine that is significantly elevated in AOSD and CCS but comparatively less so in HLH. Our study sought to determine whether lower levels of CRP, in conjunction with other patterns of inflammatory markers, could reliably distinguish HLH from AOSD and CCS. METHODS This was a single-centre, retrospective study examining adult ( n=45) and pediatric ( n=12) patients with HLH, and adult patients with AOSD ( n=11) and CCS ( n=13). Patients were enrolled from Vancouver General Hospital between January 1 st, 2000, to June 28 th, 2023. CRP and ferritin levels were collected for each patient if available, and values were included in analysis only if drawn prior to HLH-specific treatment. Ferritin levels were included to add to our understanding of different patterns of inflammation seen in similar cytokine storm syndromes. The Kruskal-Wallis test was used to compare CRP and ferritin values in total HLH cases compared to AOSD and CCS. Diagnostic performance of CRP was analyzed by performing a receiver operating characteristic (ROC) curve for CRP in HLH patients using the Youden index to identify the optimal cut-off point for CRP values. RESULTS In total, eighty-one patients were included in the study. Median CRP was significantly lower in HLH compared to AOSD (68.9 mg/L versus 168.0 mg/L, p < 0.001) and CCS (68.9 mg/L versus 121.0 mg/L, p = 0.024) (Figure 1). Median serum ferritin levels were significantly lower in CCS compared to HLH (1,386 ng/mL versus 16,722, p < 0.001) and AOSD (1,3860 ng/mL versus 12,480 ng/mL, p = 0.016). There was no significant difference in ferritin levels between HLH and AOSD. The ROC curve was performed for CRP values in total HLH cases which demonstrated an Area Under the Curve (AUC) of 0.799, indicating a fair diagnostic performance in differentiating HLH, with a sensitivity of 66.1% and specificity of 87.5% for CRP values less than 94.5 mg/L, as calculated by Youden's index. CONCLUSION CRP is significantly lower in HLH compared to AOSD and CCS, suggesting that mild to moderate elevations in CRP reflect the comparatively lower IL-6 activity underlying HLH. When used in conjunction with other inflammatory markers, especially marked hyperferritinemia, a comparatively lower CRP value helps capture the unique cytokine pattern underlying HLH, and is a useful, easily accessible biomarker than can aid in the diagnosis of HLH.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».