NCT05884060

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

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
568

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Apr 2018

Longer than P75 for all trials

Geographic Reach
1 country

1 active site

Status
completed

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

Completed
3.9 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

March 1, 2022

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

March 1, 2022

Completed
1.2 years until next milestone

First Submitted

Initial submission to the registry

May 10, 2023

Completed
22 days until next milestone

First Posted

Study publicly available on registry

June 1, 2023

Completed
Last Updated

June 2, 2023

Status Verified

May 1, 2023

Enrollment Period

3.9 years

First QC Date

May 10, 2023

Last Update Submit

June 1, 2023

Conditions

Keywords

PNHThrombosisanemiaaplastic anemiamyelodysplastic syndrome (MDS)

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

Other: No intervention

group 2

patients with evidence of bone marrow dysfunction (AA, MDS, unexplained cytopenia)

Other: No intervention

group 3

patients with thrombosis

Other: No intervention

group 4

patient group that needs to be eliminated from final high risk cohort: patients with cirrhosis, patients wit septic embolisms \& embolisation

Other: No intervention

Interventions

No interventions

group 1group 2group 3group 4

Eligibility Criteria

Age14 Years+
Sexall
Age GroupsChild (0-17), Adult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

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

Study Sites (1)

AZ Delta

Roeselare, West-Vlaanderen, 8800, Belgium

Location

MeSH Terms

Conditions

ThrombosisAnemiaAnemia, AplasticMyelodysplastic Syndromes

Condition Hierarchy (Ancestors)

Embolism and ThrombosisVascular DiseasesCardiovascular DiseasesHematologic DiseasesHemic and Lymphatic DiseasesBone Marrow Failure DisordersBone Marrow Diseases

Study Officials

  • Dries Deeren, MD

    AZ Delta

    PRINCIPAL INVESTIGATOR

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

Locations