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Prognostic scoring systems and comorbidities in chronic myelomonocytic leukaemia: a nationwide population-based study
Daniel Moreno Berggren1, Matilda Kjellander2, Ellen Backlund1
1Department of Medical Science, Section of Hematology, Uppsala University, Uppsala, Sweden.
Insights
Prognostic models like the Charlson Comorbidity Index (CCI) and CMML-specific prognostic scoring system (CPSS) best predict survival in chronic myelomonocytic leukemia (CMML). Autoimmune conditions are also more common in CMML patients.
Area of Science:
- Hematology
- Oncology
- Epidemiology
Background:
- Outcomes in chronic myelomonocytic leukemia (CMML) are highly variable.
- Comorbidities significantly impact patient survival and treatment decisions.
- Accurate prognostic models and comorbidity indices are crucial for personalized CMML management.
Purpose of the Study:
- To assess comorbidities in a nationwide CMML cohort.
- To validate existing comorbidity indices for CMML.
- To compare the prognostic power of various scoring systems in CMML.
Main Methods:
- Nationwide population-based study of 337 CMML patients diagnosed between 2009-2015.
- Validation of Charlson Comorbidity Index (CCI), Haematopoietic cell transplantation-specific Comorbidity Index (HCT-CI), and Myelodysplastic Syndrome-Specific Comorbidity Index (MDS-CI).
- Comparison of prognostic scoring systems: revised International Prognostic Scoring System (IPSS-R), CMML-specific prognostic scoring system (CPSS), MD Anderson Prognostic Scoring System (MDAPS), and Mayo score.
Main Results:
- Median overall survival was 21.3 months.
- Autoimmune conditions (e.g., polymyalgia rheumatica, Hashimoto's thyroiditis) were present in 25% of patients.
- CCI demonstrated the highest C-index (0.62) among comorbidity indices and was independently associated with survival. CPSS showed the highest prognostic power (C-index 0.69) among scoring systems.
Conclusions:
- The Charlson Comorbidity Index (CCI) and CMML-specific prognostic scoring system (CPSS) exhibit the strongest prognostic value in CMML using real-world data.
- Autoimmune conditions are overrepresented in the CMML population.
- Validated prognostic tools are essential for guiding individualized treatment strategies in CMML.
Abstract:
Outcomes in chronic myelomonocytic leukaemia (CMML) are highly variable and may be affected by comorbidity. Therefore, prognostic models and comorbidity indices are important tools to estimate survival and to guide clinicians in individualising treatment. In this nationwide population-based study, we assess comorbidities and for the first time validate comorbidity indices in CMML. We also compare the prognostic power of: the revised International Prognostic Scoring System (IPSS-R), CMML-specific prognostic scoring system (CPSS), MD Anderson Prognostic Scoring System (MDAPS) and Mayo score. In this cohort of 337 patients with CMML, diagnosed between 2009 and 2015, the median overall survival was 21·3 months. Autoimmune conditions were present in 25% of the patients, with polymyalgia rheumatica and Hashimoto's thyroiditis being most common. Of the tested comorbidity indices: the Charlson Comorbidity Index (CCI), Haematopoietic cell transplantation-specific Comorbidity Index (HCT-CI) and Myelodysplastic Syndrome-Specific Comorbidity Index (MDS-CI), CCI had the highest C-index (0·62) and was the only comorbidity index independently associated with survival in multivariable analyses. When comparing the prognostic power of the scoring systems, the CPSS had the highest C-index (0·69). In conclusion, using 'real-world' data we found that the CCI and CPSS have the best prognostic power and that autoimmune conditions are overrepresented in CMML.
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