Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: JMIR Cancer

Date Submitted: Nov 7, 2025
Open Peer Review Period: Nov 10, 2025 - Jan 5, 2026
Date Accepted: Mar 3, 2026
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Identifying Hemophagocytic Lymphohistiocytosis and Describing Outcomes Using Computable Phenotypes: Retrospective Cohort Study

Yan AP, Ocak S, Yi M, Wolochacz A, Mehrdadi I, Naqvi A, Gupta S, Sung L

Identifying Hemophagocytic Lymphohistiocytosis and Describing Outcomes Using Computable Phenotypes: Retrospective Cohort Study

JMIR Cancer 2026;12:e87347

DOI: 10.2196/87347

PMID: 41886745

Identifying Hemophagocytic Lymphohistiocytosis and Describing Outcomes Using Computable Phenotypes: A Retrospective Cohort Study

  • Adam P. Yan; 
  • Suheyla Ocak; 
  • Martin Yi; 
  • Agata Wolochacz; 
  • Ida Mehrdadi; 
  • Ahmed Naqvi; 
  • Sumit Gupta; 
  • Lillian Sung

ABSTRACT

Objective:

To compare different approaches to using the electronic health record (EHR) to build a cohort of Hemophagocytic Lymphohistiocytosis (HLH) patients, and to evaluate characteristics and outcomes of patients meeting the HLH-2004 diagnostic criteria who received HLH-directed therapies to those who did not.

Methods:

Three approaches to cohort development in the EHR were taken by identifying patients with: (1) an HLH-specific ICD-10 code, (2) an HLH-specific treatment plan, and (3) meeting the HLH-2004 clinical criteria for diagnosis of HLH. Among patients who met the HLH-2004 criteria, we evaluated the characteristics and outcomes of patients who received HLH-directed therapies to those who did not. HLH treatment was defined as either any chemotherapy, or HLH-specific therapy (dexamethasone, methylprednisolone, anakira, ruxolitinib, cyclosporine, etoposide or emapalumab).

Results:

We identified 388 patients with possible HLH across the three cohorts. An HLH ICD-10 diagnosis (n=220) and meeting five or more clinical criteria (n=245) were much more common than a HLH treatment plan (n=42). Among the patients meeting HLH-2004 clinical criteria, 193 (79%) received HLH-directed therapy. There was no difference in any specific HLH criteria between those who did and did not receive HLH-directed therapy. In-hospital mortality was very high among both groups and was 15.0% among those who received HLH-directed therapy and 13.5% among those who did not receive HLH-directed therapy. Among 1325 patients with an elevated ferritin and fever, only 252 (19%) met >5 clinical criteria.

Conclusions:

Constructing HLH cohorts from EHR data is challenging, with diagnosis codes, treatment plans, and clinical criteria each capturing distinct but overlapping populations.


 Citation

Please cite as:

Yan AP, Ocak S, Yi M, Wolochacz A, Mehrdadi I, Naqvi A, Gupta S, Sung L

Identifying Hemophagocytic Lymphohistiocytosis and Describing Outcomes Using Computable Phenotypes: Retrospective Cohort Study

JMIR Cancer 2026;12:e87347

DOI: 10.2196/87347

PMID: 41886745

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.