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. 2016 Oct 25;8:567–572. doi: 10.2147/CLEP.S99462

The Danish National Chronic Myeloid Neoplasia Registry

Marie Bak 1,, Else Helene Ibfelt 2, Thomas Stauffer Larsen 3, Dorthe Rønnov-Jessen 4, Niels Pallisgaard 5, Ann Madelung 6, Lene Udby 1, Hans Carl Hasselbalch 1, Ole Weis Bjerrum 7, Christen Lykkegaard Andersen 1,7
PMCID: PMC5094615  PMID: 27822101

Abstract

Aim

The Danish National Chronic Myeloid Neoplasia Registry (DCMR) is a population-based clinical quality database, introduced to evaluate diagnosis and treatment of patients with chronic myeloid malignancies. The aim is to monitor the clinical quality at the national, regional, and hospital departmental levels and serve as a platform for research.

Study population

The DCMR has nationwide coverage and contains information on patients diagnosed at hematology departments from January 2010 onward, including patients with essential thrombocythemia, polycythemia vera, myelofibrosis, unclassifiable myeloproliferative neoplasms, chronic myelomonocytic leukemia, and chronic myeloid leukemia.

Main variables

Data are collected using standardized registration forms (so far up to four forms per patient), which are consecutively filled out online at time of diagnosis, after 2-year and 5-year follow-ups, and at end of follow-up. The forms include variables that describe clinical/paraclinical assessments, treatment, disease progression, and survival – disease-specific variables – as well as variables that are identical for all chronic myeloid malignancies.

Descriptive data

By the end of 2014, the DCMR contained data on 2,690 patients with an inclusion rate of ∼500 patients each year. Since the registry was established, annual reports have shown consistently high national coverage and data completeness, ≥90% and ≥88%, respectively.

Conclusion

The DCMR is a national database used for monitoring the quality of patient care in patients with chronic myeloid malignancies, but until validation has been conducted, the data must be used with caution. However, the DCMR is a valuable data source accessible to clinicians and researchers.

Keywords: myeloproliferative disorders, database, treatment, health care quality assurance, outcome assessment, epidemiology, research

Introduction

The Danish National Chronic Myeloid Neoplasia Registry (DCMR) was established on January 1, 2010, to monitor the clinical quality of diagnosis and treatment in patients with chronic myeloid malignancies. This population-based clinical quality database with nationwide coverage contains information on patients with essential thrombocythemia, polycythemia vera, myelofibrosis, unclassifiable myeloproliferative neoplasms, chronic myelomonocytic leukemia, and chronic myeloid leukemia. The DCMR is part of the Danish Common Hematological Database established by the Danish Society of Hematology, to evaluate patients with various hematological malignancies and to ensure the quality of diagnostic evaluation, treatment, and patient care at the national level, as well as in each hematology department.

Aim of the database

The aim of the DCMR is to collect information on patients with different subtypes of chronic myeloid malignancies, to gain insight into disease epidemiology, and to characterize patients by clinical and paraclinical evaluation at predefined intervals throughout the course of the cancers. The DCMR enables nationwide monitoring of the quality of diagnosis and treatment in patients with chronic myeloid malignancies in Denmark. As with all government-approved clinical quality databases, a continuous aim is also to ensure coverage >90% and registration completeness >80% each year, at the national, regional, and hospital departmental levels. The database can also be used to compare different patient-and treatment-related outcomes between departments. The DCMR serves as a quality database as well as a research database.

Study population

Danish citizens with chronic myeloid malignancies, referred to hematology departments for evaluation since January 1, 2010, are eligible for registration in the DCMR. All nine hematology departments in Denmark are obliged to collect and enter data. Patients diagnosed or treated outside Denmark are included only if their treatment is continued in Denmark. The patients must fulfill the current World Health Organization classification criteria for essential thrombocythemia, polycythemia vera, myelofibrosis, unclassifiable myeloproliferative neoplasms, chronic myelomonocytic leukemia, or chronic myeloid leukemia to be included in the DCMR.1

The Danish health care system provides free health care to all 5.5 million inhabitants,2 which enables nationwide coverage of the DCMR. In 2009, the Danish Health and Medicines Authority introduced the hematological cancer care packages, as part of the national initiative termed The National Integrated Cancer Pathways.3 The regulation included guidelines for Danish patients with hematological cancer, implying that all patients with a suspected hematological cancer must be evaluated at a hematology department. This ensures that data on virtually all in- and outpatients with chronic myeloid malignancies are included in the DCMR, and data are collected on ∼500 new patients each year.

Registration system and variables

Registration system

The Web-based registration system for entering data into the DCMR (as well as all other hematological registries) is based on a reporting tool, developed using SAS Institute software version 9.2 (SAS Institute Inc, Cary, NC, USA). The entered data are securely stored electronically. The online registration system is easily accessible from every department in Denmark, and physicians do not need patients’ consent when entering data. Data are collected from patients’ pathology and laboratory reports, medical files, and assessments by the consulting hematologists. Trained health care professionals enter data on all eligible patients into the system manually, using standardized registration forms. Instructions for entering data are available online to ensure a homogeneous national registration. Validation rules, including field and cross-validation, restrict what can be entered, and each variable must be answered before the registration forms can be submitted, thus optimizing the completeness of the registration.

Registration forms and main variables

For each patient, data collected on up to four registration forms entered at predefined intervals are included in the DCMR so far. The registration algorithm for the DCMR is shown in Figure 1. The different forms contain detailed information on administrative and clinical data. Main variables are shown in Table 1. At time of diagnosis, the department that verifies the diagnosis enters the first registration form (Registration Form), which must be entered within 6 months after diagnosis. The form contains information about the diagnosis and date of diagnosis, symptoms, and paraclinical, cytogenetic, and molecular profiles. The second registration form (the 2-Year Registration Form), entered 2 years after diagnosis, includes information on disease progression and the treatment initiated within the first 2 years. The third registration form (the 5-Year Registration Form), submitted 5 years after diagnosis, was introduced in 2015 and includes variables related to disease progression, cytogenetic and molecular assessment, and treatment. At end of follow-up (eg, death or progression to acute leukemia), a fourth registration form (the Follow-up Form), which includes information on date of last follow-up and vital status, must be completed.

Figure 1.

Figure 1

The Danish National Chronic Myeloid Neoplasia Registry algorithm.

Note: Data are entered at predefined intervals for each patient (at time of diagnosis, after 2-year and 5-year follow-ups, and at end of follow-up).

Abbreviations: CML, chronic myeloid leukemia; CMML, chronic myelomonocytic leukemia; CRS, The Danish Civil Registration System; DCMR, The Danish National Chronic Myeloid Neoplasia Registry; DNPR, The Danish National Patient Registry; ET, essential thrombocythemia; MF, myelofibrosis; MPN-U, unclassifiable myeloproliferative neoplasm; PV, polycythemia vera.

Table 1.

Main variables recorded on standardized online registration forms in the Danish National Chronic Myeloid Neoplasia Registry

Registration form (time of registration) Main variables
Nondisease-specific variables Disease-specific variables
Registration form (submitted at time of diagnosis) Name and civil registration number
Diagnosis according to WHO 2008/ICD-10
Date of diagnosis
Prior hematological disease (>3 months’ duration)
B-symptoms: weight loss, night sweat, and itching
Spleen enlargement (if yes, then clinical or image verified)
Laboratory values
Biological material for a biobank
ET, PV, MF, MPN-U
 Prior other cancer (solid/nonsolid)
 Inherited MPN predisposition
 Prior thrombosis (specified, if present)
 Bleedings
 Musculoskeletal symptoms (related to MPN)
 Microvascular symptoms (specified, if present)
 Cardiovascular risk factors
 Cytogenetic and molecular biological assessments:
  JAK2V617F, JAK2 exon 12, MPL, CALRa, ASXL1a
  If present, JAK2V617F, MPL, and CALR allele burdena
CML
 BCR-ABL1 expression level (% IS)a
 Chromosomal abnormalities, besides t(9;22)
 Disease phase: chronic, accelerated, blast crisis
CMML
 Cytogenetic and molecular biological assessment (r-IPSS)
2-Year Registration Form (submitted 2 years after diagnosis) Date of registration
Spleen enlargement or progressiona
Cytogenetic and molecular biological assessment
Treatment (within the first 2 years)
Participation in clinical research protocol
Progression of disease
ET, PV, MF, MPN-U
 Vascular events since diagnosisa (specified if present)
 If present, JAK2V617F, MPL, and CALR allele burdena
CML
 Monitoring with qPCR or dPCR
 BCR-ABL1 expression level (% IS)a
 Chromosomal abnormalities besides t(9;22)a
 Mutation status in patients with treatment resistancea
 Treatment responsea
 Vascular events since diagnosisa (specified if present)
5-Year Registration Form (submitted 5 years after diagnosis) Transplantation: date and type of transplantation
Date of registration
Spleen enlargement or progressiona
Cytogenetic and molecular biological assessment
Treatment
Participation in clinical research protocol
Progression of disease
Transplantation: date and type of transplantation
ET, PV, MF, MPN-U
 Vascular events since diagnosisa (specified if present)
 If present, JAK2V617F, MPL, and CALR allele burdena
CML
 Monitoring with qPCR or dPCR
 BCR-ABL1 expression level (% IS)a
 Chromosomal abnormalities besides t(9;22)a
 Mutation status in patients with treatment resistancea
 Treatment responsea
 Vascular events since diagnosisa (specified if present)
Follow-up Form (submitted at end of follow-up) Vital status
Date of follow-up or date of death
Place of death

Note:

a

Introduced in 2015.

Abbreviations: ASXL1, the additional sex combs-like gene; BCR-ABL1, BCR-ABL1 fusion gene (Philadelphia chromosome); CALR, calreticulin; CML, chronic myeloid leukemia; CMML, chronic myelomonocytic leukemia; dPCR, digital polymerase chain reaction; ET, essential thrombocythemia; ICD, International Classification of Diseases; IS, International Scale; JAK2V617F, janus kinase2V617F mutation; MF, myelofibrosis; MPL, myeloproliferative leukemia protein (thrombopoietin receptor); MPN, myeloproliferative neoplasm; MPN-U, unclassifiable myeloproliferative neoplasms; PV, polycythemia vera; qPCR, quantitative polymerase chain reaction; WHO, World Health Organization.

Follow-up

Validity and coverage

The Danish Civil Registration System (CRS),4,5 with unique personal identification numbers that track each citizen nationwide, allows merging of data between different Danish registries,6,7 including the DCMR and the Danish National Patient Registry (DNPR). The DNPR contains information on all in- and outpatient hospital visits in Denmark,8,9 and the coding procedures for hematological diseases show high validity.10,11 Because vital status and date of death are available for all citizens in the CRS, data from the DCMR are merged with the CRS using an administrative algorithm. Entering data on all patients in the database is mandatory and automatic cross-merging with the DNPR provides departments with follow-up lists (names and identification numbers), including a data list of correctly entered patients as well as patients whose data have not yet been correctly entered in the DCMR. This is done by extracting codes from the DNPR that correspond to chronic myeloid malignancies at any hematology department in Denmark. As a result, no patients are lost to follow-up in the DCMR. Furthermore, the registration system allows departments to change incorrectly entered data manually, resulting in subsequent data correction within the database, eg, if an incorrect diagnosis has been entered for a patient. The cross-merging of data between the DNPR and DCMR enables each department to maintain high data coverage, and it is an effective attempt to increase the validity of the DCMR.

Annual reports

The steering committee of the Danish National Chronic Myeloid Neoplasia Study Group (DCMSG) annually publishes an online report in Danish based on data from the DCMR. The report includes eight quality indicators that encompass database coverage, mortality, number of patients included in protocols, and cytogenetic and molecular biological assessment calculated for patients included within the past year. Data completeness (patients with submitted 2-Year Registration Forms) and long-term follow-up with survival estimates are also included, using data from preceding years. In addition, data are cross-merged with the DNPR to calculate coverage and completeness each year. The indicators assess quality of the database (coverage and completeness) as well as the quality of patient-related outcomes such as survival rates. The indicators are reported yearly at the departmental, regional, and national levels. National quality indicator results from the previous 3 years are shown in Table 2. In total, 2,690 patients were included in the DCMR from 2010 to 2014 (essential thrombocythemia =744, polycythemia vera =729, myelofibrosis =374, myeloproliferative neoplasms =370, chronic myelomonocytic leukemia =196, chronic myeloid leukemia =277), and consistently high national coverage (≥90%) and completeness (≥88%) have been observed since the registry was established.12

Table 2.

Quality indicators in the Danish National Chronic Myeloid Neoplasia Registry

National quality indicators in the DCMR (%)
Year 2014 2013 2012
Database-related indicators (quality of the database)
 Database coveragea 90 97 98
 Data completeness (submitted 88 96 99
 2-Year Registration Forms)
Patient-related indicators (quality of patient-related outcomes)
 30-day mortality 0.5 0.5 0.6
 180-day mortality 3.7 3.9 4.5
 Cytogenetic or molecular biological diagnostics performed 97 97 98
 Patients included in a clinical protocol 14 2 3
Year of registration 2013–2014b 2011–2012b
 1-year survival 92 92
2011–2014b
 3-year survival 80

Notes: National quality indicator results (calculated for the years 2012–2014). Each indicator is calculated as percentage of patients that meet the indicator criteria.

a

Coverage of the DCMR, is calculated annually as patients within the registry, divided by all patients with chronic myeloid malignancies in hematology departments in Denmark.

b

Patients with registration in the database over the years are pooled.

Abbreviation: DCMR, Danish National Chronic Myeloid Neoplasia Registry.

Administrative issues and funding

The DCMR is approved as a clinical quality database by the Danish authorities – the National Board of Health and the Danish Data Protection Agency. The Danish Common Hematological Database, including the DCMR, is part of the Danish Multidisciplinary Cancer Groups, which receive public financial support from the Danish regions. The Registry Support Centre of Epidemiology and Biostatistics (East) ensures administration of the database, support, and maintenance of the operating system and provides statistical analyses and epidemiological assistance for the annual reports, published in collaboration with the DCMSG. The academic and professional responsibility for maintenance and use of the DCMR lies within the DCMSG, (including the development and optimization of the database by improving registration forms, introducing new variables, and surveying variables). Access to data from the DCMR can be obtained by applying to the Registry Support Centre of Epidemiology and Biostatistics, but researchers can only be granted access after approval from the Danish authorities.

Conclusion

Hematology departments in Denmark enter data into the DCMR through the online registration system, to generate information on a nationwide cohort of patients with chronic myeloid malignancies. The DCMR ensures that departments have the possibility of monitoring diagnosis and treatment in patients at predefined intervals and comparing quality indicator results with national levels yearly. Recent quality studies of Danish hematological databases, the Danish National Lymphoma Registry, and the Danish National Acute Leukemia Registry, which use the same reporting tool and trained health care professionals for entering data, show high data quality.13,14 However, generated data in the DCMR must be used with caution, until a validity study has been undertaken and data quality has been assessed. The DCMR, a population-based clinical quality database (with high coverage), represents a unique data source for physicians to scrutinize and monitor the clinical quality of diagnosis and treatment of Danish patients with chronic myeloid malignancies. In addition, the database addresses research-related questions, generating valuable information of interest to clinicians and researchers, as well as patients and politicians.

Acknowledgments

The authors thank all members of the DCMSG, each hematology department, and staff for their continuous commitment to managing patients with chronic myeloid malignancies and collecting data. In addition, we thank Dr Peter de Nully Brown for valuable advice on the management and optimization of the DCMR. This paper was funded by the Program for Clinical Research Infrastructure, established by the Lundbeck Foundation and the Novo Nordisk Foundation and administered by the Danish Regions. The Danish Cancer Society also supported this work.

Footnotes

Disclosure

The authors report no conflicts of interest in this work.

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