The Danish Myelodysplastic Syndromes Database:Patient Characteristics and Validity of Data Records

BACKGROUND: The Danish Myelodysplastic Syndromes Database (DMDSD) comprises nearly all patients diagnosed with myelodysplastic syndromes (MDS) in Denmark since 2010. The DMDSD has not yet been used for epidemiological research and the quality of registered variables remains to be investigated. OBJECTIVE: To describe characteristics of the patients registered in the DMDSD and to calculate predictive values and the proportion of missing values of registered data records. METHODS: We performed a nationwide cross-sectional validation study of recorded disease and treatment data on MDS patients during 2010–2019. Patient characteristics and the proportion of missing values were tabulated. A random sample of 12% was drawn to calculate predictive values with 95% confidence intervals (CIs) of 48 variables using information from medical records as a reference standard. RESULTS: Overall, 2284 patients were identified (median age: 76 years, men 62%). Of these, 10% had therapy-related MDS, and 6% had an antecedent hematological disease. Hemoglobin level was less than 6.2 mmol/L for 59% of patients. Within the first two years of treatment, 59% received transfusions, 35% received erythropoiesis-stimulating agents, and 15% were treated with a hypomethylating agent. For the majority of variables (around 80%), there were no missing data. A total of 260 medical records were available for validation. The positive predictive value of the MDS diagnosis was 92% (95% CI: 88–95). Predictive values ranged from 64% to 100% and exceeded 90% for 36 out of 48 variables. Stratification by year of diagnosis suggested that the positive predictive value of the MDS diagnosis improved from 88% before 2015 to 95% after. CONCLUSION: In this study, there was a high accuracy of recorded data and a low proportion of missing data. Thus, the DMDSD serves as a valuable data source for future epidemiological studies on MDS

The Danish National Acute Leukemia Registry

AIM OF DATABASE: The main aim of the Danish National Acute Leukemia Registry (DNLR) was to obtain information about the epidemiology of the hematologic cancers acute myeloid leukemia (AML), acute lymphoblastic leukemia (ALL), and myelodysplastic syndrome (MDS). STUDY POPULATION: The registry was established in January 2000 by the Danish Acute Leukemia Group and has been expanded over the years. It includes adult AML patients diagnosed in Denmark since 2000, ALL patients diagnosed since 2005, and MDS patients diagnosed since 2010. The coverage of leukemia patients exceeds 99%, and the coverage of MDS patients is currently 90%. MAIN VARIABLES AND DESCRIPTIVE DATA: Approximately, 250 AML patients, 25 ALL patients, and 230 MDS patients are registered in the DNLR every year. In January 2015, the registry included detailed patient characteristics, disease characteristics, treatment characteristics, and outcome data on more than 3,500 AML, 300 ALL, and 1,100 MDS patients. Many of the included prognostic variables have been found to be of high quality including positive predictive values and completeness exceeding 90%. These variables have been used in prognostic observational studies in the last few years. To ensure this high coverage, completeness, and quality of data, linkage to the Danish Civil Registration System and the Danish National Registry of Patients, and several programmed data entry checks are used. CONCLUSION: The completeness and positive predictive values of the leukemia data have been found to be high. In recent years, the DNLR has shown to be an important high-quality resource for clinical prognostic research

Data quality in the Danish National Acute Leukemia Registry:a hematological data resource

BACKGROUND: The Danish National Acute Leukemia Registry (DNLR) has documented coverage of above 98.5%. Less is known about the quality of the recorded data. OBJECTIVE: To describe the present coverage of the DNLR, its completeness, and accuracy of individual variables for acute myeloid leukemia (AML). Furthermore, as a second measure of true coverage of the DNLR, to estimate AML incidence in Denmark from DNLR data and compare it to incidence reported from other AML registries. PATIENTS AND METHODS: By the end of December 2011, the DNLR (established January 2000) included detailed data on a large, well-defined, and nonselected Danish population of 2,665 AML patients. We estimated positive predictive values (PPVs) and completeness for 30 variables, which included patient and disease characteristics, treatment, and treatment outcomes. We identified 260 AML patients (10% of all AML patients recorded in the DNLR). We used information from medical records as the gold standard. RESULTS: Using the Danish National Registry of Patients as a reference, the coverage of the DNLR was 99.6%. The PPVs of the individual variables ranged from 89.4% to 100%. The completeness of individual variables varied between 60.7% and 100%. Stratification by time of registration in the DNLR (before 2006 versus 2006 and later) revealed higher PPVs and lower frequencies of missing data from 2006. Sex-adjusted incidence rates were 6.2/100,000 person-years (95% confidence interval 5.8–6.6) in males and 4.9/100,000 person-years (95% confidence interval 4.5–5.4) in females. Yearly incidence rates of AML were higher than the incidence rates reported from Sweden (4.5 and 4.2/100,000) and the US (4.5 and 3.1/100,000 in Caucasians). CONCLUSION: With few exceptions, there were high values for PPVs and completeness of recorded data. Data accuracy and completeness have improved since the registry was established. The estimated incidence may indicate that the DNLR truly is more complete than other registries. In conclusion, the DNLR is a valuable resource for clinical research of AML

Effects of Education and Income on Treatment and Outcome in Patients With Acute Myeloid Leukemia in a Tax-Supported Health Care System:A National Population-Based Cohort Study

Purpose Previous US studies have shown that socioeconomic status (SES) affects survival in acute myeloid leukemia (AML). However, no large study has investigated the association between education or income and clinical characteristics, treatment, and outcome in AML. Methods To investigate the effects of education and income in a tax-supported health care system, we conducted a population-based study using individual-level SES and clinical data on all Danish patients with AML (2000 to 2014). We compared treatment intensity, allogeneic transplantation, and response rates by education and income level using logistic regression (odds ratios). We used Cox regression (hazard ratios [HRs]) to compare survival, adjusting for age, sex, SES, and clinical prognostic markers. Results Of 2,992 patients, 1,588 (53.1%) received intensive chemotherapy. Compared with low-education patients, highly educated patients more often received allogeneic transplantation (16.3% v 8.7%). In intensively treated patients younger than 60 years of age, increased mortality was observed in those with lower and medium education (1-year survival, 66.7%; adjusted HR, 1.47; 95% CI, 1.11 to 1.93; and 1-year survival, 67.6%; adjusted HR, 1.55; CI, 1.21 to 1.98, respectively) compared with higher education (1-year survival, 76.9%). Over the study period, 5-year survival improvements were limited to high-education patients (from 39% to 58%), increasing the survival gap between groups. In older patients, low-education patients received less intensive therapy (30% v 48%; adjusted odds ratio, 0.65; CI, 0.44 to 0.98) compared with high-education patients; however, remission rates and survival were not affected in those intensively treated. Income was not associated with therapy intensity, likelihood of complete remission, or survival (high income: adjusted HR, 1.0; medium income: adjusted HR, 0.96; 95% CI, 0.82 to 1.12; low income: adjusted HR, 1.06; CI, .88 to 1.27). Conclusion In a universal health care system, education level, but not income, affects transplantation rates and survival in younger patients with AML. Importantly, recent survival improvement has exclusively benefitted highly educated patients. </jats:sec

Improved outcome in acute myeloid leukemia patients enrolled in clinical trials:A national population-based cohort study of Danish intensive chemotherapy patients

Clinical trials are critical to improve AML treatment. It remains, however, unclear if clinical trial participation per se affects prognosis and to what extent the patients selected for trials differ from those of patients receiving intensive therapy off-trial. We conducted a population-based cohort study of newly diagnosed Danish AML patients treated with intensive chemotherapy between 2000–2013. We estimated accrual rates and compared characteristics, complete remission (CR) rates, and relative risks (RRs) of death at 90-day, 1-year, and 3-years in clinical trial patients to patients treated off-trial. Of 867 patients, 58.3% (n = 504) were included in a clinical trial. Accrual rates were similar across age groups (p = 0.55). Patients with poor performance status, comorbidity, therapy-related and secondary AML were less likely to be enrolled in trials. CR rates were 80.2% in trial-patients versus 68.6% in patients treated off- trial. Also, trial-patients had superior survival at 1-year; 72%, vs. 54% (adjusted RR of death 1.28(CI = 1.06–1.54)), and at 3 years; 45% vs. 29% (adjusted RR 1.14(CI = 1.03–1.26)) compared to patients treated off-trial. Despite high accrual rates, patients enrolled in clinical trials had a favorable prognostic profile and a better survival than patients treated off-trial. In conclusion, all trial results should be extrapolated with caution and population-based studies of “real world patients” have a prominent role in examining the prognosis of AML

Epidemiology and Clinical Significance of Secondary and Therapy-Related Acute Myeloid Leukemia:A National Population-Based Cohort Study

Purpose Secondary and therapy-related acute myeloid leukemia (sAML and tAML, respectively) remain therapeutic challenges. Still, it is unclear whether their inferior outcome compared with de novo acute myeloid leukemia (AML) varies as a result of previous hematologic disease or can be explained by differences in karyotype and/or age. Patients and Methods In a Danish national population-based study of 3,055 unselected patients with AML diagnosed from 2000 to 2013, we compared the frequencies and characteristics of tAML, myelodysplastic syndrome (MDS) -sAML, and non-MDS-sAML (chronic myelomonocytic leukemia and myeloproliferative neoplasia) versus de novo AML. Limited to intensive therapy patients, we compared chance of complete remission by logistic regression analysis and used a pseudo-value approach to compare relative risk (RR) of death at 90 days, 1 year, and 3 years, overall and stratified by age and karyotype. Results were given crude and adjusted with 95% CIs. Results Overall, frequencies of sAML and tAML were 19.8% and 6.6%, respectively. sAML, but not tAML, was associated with low likelihood of receiving intensive treatment. Among intensive therapy patients (n = 1,567), antecedent myeloid disorder or prior cytotoxic exposure was associated with decreased complete remission rates and inferior survival (3-year adjusted RR for MDS-sAML, non-MDS-sAML, and tAML: RR, 1.14; 95% CI, 1.02 to 1.32; RR, 1.27; 95% CI, 1.16 to 1.34; and RR, 1.16; 95% CI, 1.03 to 1.32, respectively) compared with de novo AML. Among patients ≥ 60 years old and patients with adverse karyotype, previous MDS or tAML did not impact overall outcomes, whereas non-MDS-sAML was associated with inferior survival across age and cytogenetic risk groups (adverse risk cytogenetics: 1-year adjusted RR, 1.47; 95% CI, 1.23 to 1.76; patients ≥ 60 years old: 1-year adjusted RR, 1.31; 95% CI, 1.06 to 1.61). Conclusion Our results support that de novo AML, sAML, and tAML are biologically and prognostically distinct subtypes of AML. Patients with non-MDS-sAML have dismal outcomes, independent of age and cytogenetics. Previous myeloid disorder, age, and cytogenetics are crucial determinants of outcomes and should be integrated in treatment recommendations for these patients. </jats:sec