Retrospective Chart Review Screening Algorithm to Assess the Prevalence of PNH-clones
Retrospective Electronic Chart Review to Assess the Prevalence of PNH-clones Among Patients Identified With PNH Risk Factors
1 other identifier
observational
568
1 country
1
Brief Summary
The present study is a non-interventional retrospective chart review study assessing the prevalence of PNH-clones in patients with PNH risk-factors aged ≥14 years and treated at our hospital. The objective of this study is to develop a PNH screening tool on the hospital Electronic Health Record (EHR) system. An algorithm defining PNH risk groups is developed.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Apr 2018
Longer than P75 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
April 20, 2018
CompletedPrimary Completion
Last participant's last visit for primary outcome
March 1, 2022
CompletedStudy Completion
Last participant's last visit for all outcomes
March 1, 2022
CompletedFirst Submitted
Initial submission to the registry
May 10, 2023
CompletedFirst Posted
Study publicly available on registry
June 1, 2023
CompletedJune 2, 2023
May 1, 2023
3.9 years
May 10, 2023
June 1, 2023
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
PNH risk factors translation into query codes that can be interpreted by a computer system for analysis
Three main PNH risk sub-cohorts were constructed, representing patients exhibiting PNH risk factors such as hemolytic anemia (group 1), bone marrow dysfunction (group 2) and thrombosis (group 3). To build these sub-cohorts, queries were created using a combination of structured and unstructured electronic health record (EHR) data, including lab results, diagnoses, medication, questionnaire data, text from medical and radiology reports, notes, and Internation Classification Codes (ICD-10). These sub-cohorts were validated by two hematologists who reviewed randomly selected patients, resulting in several iterations and query optimizations.
2022
Number of patients identified with high risk for PNH clone and per type of screening criteria by developing a computational screening algorithm
A computational algorithm was employed for a retrospective EHR analysis, to identify high-risk cohorts of potential PNH patients who need treatment from all registered patients, with maximum ability to find relevant cases. Three main PNH risk sub-cohorts were constructed, representing patients exhibiting PNH risk factors such as hemolytic anemia (group 1), bone marrow dysfunction (group 2) and thrombosis (group 3). These sub-cohorts were validated by two hematologists who reviewed randomly selected patients, resulting in several iterations and query optimizations. Sub-cohorts were subsequently merged and refined into high risk cohorts that undergo further analysis and manual review. Two hematologists independently reviewed and rated medical records to achieve a manual risk stratification of the high risk cohorts.
2022
Secondary Outcomes (1)
The number of patients at high risk for PNH, categorized by risk factor, across each medical department
2023
Study Arms (4)
group 1
patients with evidence of haemolysis without obvious cause
group 2
patients with evidence of bone marrow dysfunction (AA, MDS, unexplained cytopenia)
group 3
patients with thrombosis
group 4
patient group that needs to be eliminated from final high risk cohort: patients with cirrhosis, patients wit septic embolisms \& embolisation
Interventions
Eligibility Criteria
Eligible patients will be identified by retrospective screening of the hospital's electronic patients records using data search queries based on ICD-10 codes, lab results, keyword search in questionnaires, medical reports, notes, radiology reports \& medical diagnoses corresponding to one of the PNH Risk factors described: 1. Patients with evidence of haemolysis without obvious cause 2. Patients with evidence of bone marrow dysfunction 3. Patients with thrombosis
You may qualify if:
- Patient ≥14 years of age
- At least 1 record encoded in the General Hospital Delta (AZ Delta) patient database (HiX) between 20 April 2018 and 1 March 2022
- A history or presence of at least one PNH risk factors identified following retrospective screening of electronic patient records
You may not qualify if:
- None
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- AZ Deltalead
- Alexion Pharmaceuticals, Inc.collaborator
Study Sites (1)
AZ Delta
Roeselare, West-Vlaanderen, 8800, Belgium
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Dries Deeren, MD
AZ Delta
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- RETROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
May 10, 2023
First Posted
June 1, 2023
Study Start
April 20, 2018
Primary Completion
March 1, 2022
Study Completion
March 1, 2022
Last Updated
June 2, 2023
Record last verified: 2023-05
Data Sharing
- IPD Sharing
- Will not share