External Validation of the HLH-2004 Diagnostic Criteria and H-Score for Diagnosis of Hemophagocytic Lymphohistiocytosis in Adults
Notice bibliographique
Résumé
Introduction: Hemophagocytic lymphohistiocytosis (HLH) is a hyperinflammatory syndrome associated with multi-organ failure and death. Diagnosis in adult patients is currently based on the HLH-2004 diagnostic criteria; however, these criteria were developed for pediatric HLH and have not been formally validated in adults. An alternative diagnostic score, the H-score, was developed for adults with reactive HLH. There have been few external validation studies comparing the diagnostic accuracy between the HLH-2004 criteria and H-score, mostly in critically ill patients. In this external validation study, we aimed to compare the discriminatory power of these two diagnostic criteria in predicting HLH in a multicenter cohort of adults with suspected HLH. Methods: We identified all adult inpatients (≥18 years) with an International Classification of Diseases (ICD) code for HLH in the province of Alberta, Canada from January 1999 to December 2019. Following independent chart review by two reviewers, cases were classified as positive, negative, or indeterminate cases of HLH. The HLH-2004 diagnostic criteria and H-score were determined for each case. The following performance characteristics of the diagnostic scoring systems were calculated: sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). C-statistic was calculated from the receiver operator curve (ROC) analysis. Results: Data on 101 patients were collected. The median age was 46 years (range 18-88), 66 (65%) were male. Active malignancy within 6 months of presentation, infections, and autoimmune diseases were present in 31%, 36%, and 18%, respectively. Of the 96 patients who underwent bone marrow aspirate and biopsy, hemophagocytosis was present in 79 (82%). Using chart review as the gold standard, 89 (88%) patients were determined to have HLH, whereas 5 (5%) and 7 (7%) were reclassified as negative and indeterminate cases, respectively. 83 (82%) patients met ≥5 of the 8 HLH-2004 diagnostic criteria; using the HLH-2004 criteria missed 8 cases of HLH. The sensitivity and specificity of HLH-2004 criteria was 91.0% and 83.3%, respectively, with a PPV of 97.6% and an NPV of 55.6%. The median overall H-score was 238 (range 129-337). An H-Score cut-off of >169 (established as the optimal cut-off from the original derivation and validation paper) predicted HLH with a sensitivity of 95.5%, specificity of 16.7%, PPV of 89.5%, and NPV of 33.3%. The discriminatory power improved with an H-Score cut-off >210, with a sensitivity of 86.5%, specificity of 66.7%, PPV of 95.1%, and NPV of 40.0%. The c-statistics for the HLH-2004 criteria and the H-Score were 0.872 and 0.737, respectively. In the malignant subgroup, all patients fulfilled the HLH-2004 criteria and all were deemed to have HLH upon chart review. All but one had an H-Score >169, with a median H-Score of 238 (range 168-304) in the malignant group. Conclusion: In our highly selected patient population with suspected HLH, the HLH-2004 had better discriminatory power than the H-Score, with a high sensitivity and specificity and excellent c-statistic >0.80. An H-Score cut-off of >169 was highly sensitive but non-specific in identifying adults with HLH. The validity and applicability of our study is limited by a high prevalence of chart-confirmed HLH in our sample. We are completing ongoing data collection to expand our validation study in a cohort of adults with hyperferritinemia who underwent bone marrow evaluation and/or sCD25 testing. Disclosures Sun: Sanofi: Other: Advisory board; Octapharma: Other: Advisory board; Octapharma: Research Funding; Novo Nordisk: Other: Advisory board; Pfizer: Other: Advisory board.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».