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Is bone marrow examination always necessary to establish the diagnosis of myelodysplastic syndromes? A proposed non-invasive diagnostic model
- Source :
- Leukemia & Lymphoma. 59:2227-2232
- Publication Year :
- 2018
- Publisher :
- Informa UK Limited, 2018.
-
Abstract
- A non-invasive myelodysplastic syndromes (MDS) diagnostic model would allow for care while avoiding invasive bone marrow examinations (BME). BME-established MDS patients were compared to non-MDS (BME-excluded) patients. Variables (gender, age, hemoglobin (Hb), mean red blood cell corpuscular volume (MCV), platelet (PLT), and white blood cell (WBC)) were combined with multivariate logistic regression; a probability score (Y) was calculated. MDS (n = 48) and non-MDS (n = 63) patients were used to establish the model. The ROC was drawn, giving an AUC of 0.748 (95% CI: 0.656-0.84). Two cutoff values were used for Y. Y ≥ 0.633: high likelihood (positive predictive value (PPV) = 85%); Y ≤ 0.288: low likelihood (negative predictive value (NPV) = 81%) of MDS. The first group is defined as probable MDS (pMDS); the second, probably not MDS (pnMDS). The model was validated with 40 additional patients (20 with and 20 without MDS). Using clinical and lab data, we could diagnose or exclude MDS in about half of the patients, avoiding BME. Future work will use larger cohorts of patients to improve and further validate the model.
- Subjects :
- Erythrocyte Indices
Male
Cancer Research
medicine.medical_specialty
Logistic regression
Leukocyte Count
03 medical and health sciences
0302 clinical medicine
hemic and lymphatic diseases
Diagnostic model
White blood cell
Internal medicine
medicine
Humans
Cutoff
Aged
Aged, 80 and over
medicine.diagnostic_test
Platelet Count
business.industry
Myelodysplastic syndromes
Non invasive
Bone Marrow Examination
Hematology
medicine.disease
Bone marrow examination
Logistic Models
medicine.anatomical_structure
ROC Curve
Oncology
Myelodysplastic Syndromes
030220 oncology & carcinogenesis
Multivariate Analysis
Female
Bone marrow
business
Algorithms
030215 immunology
Subjects
Details
- ISSN :
- 10292403 and 10428194
- Volume :
- 59
- Database :
- OpenAIRE
- Journal :
- Leukemia & Lymphoma
- Accession number :
- edsair.doi.dedup.....264a82ab11d5b0afccd6819e09dbb43c
- Full Text :
- https://doi.org/10.1080/10428194.2017.1416363