Improving the diagnosis of myelodysplastic syndrome by red blood cell parameters

Purpose To investigate the value of red blood cell parameters in Myelodysplastic syndrome (MDS) diagnosis and their relations to MDS subtypes and risk groups. Methods The red blood cell parameter [mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC) and red cell distribution width (RDW)] levels [203 MDS, 99 aplastic anemia (AA), 145 megaloblastic anemia (MA)] were collected from a single-center retrospective cohort. The cut-off values, area under the receiver operating characteristic curve (ROC) curve (AUC), sensitivity and specificity of the four parameters were calculated from the ROC. Furthermore, Kruskal–Wallis test and Dunn’s Test were performed to determine erythrocyte parameters in different subtypes and prognostic risks MDS. Results There are significant statistic differences in RDW (P < 0.001), MCH (P = 0.036) and MCHC (P < 0.001) (MDS vs AA); RDW (P = 0.009), MCV (P < 0.001), MCH (P < 0.001) and MCHC (P = 0.001) (MDS vs MA); MCV (P = 0.011) and MCH (P = 0.008) (higher-risk MDS vs lower-risk MDS). Between MDS and MA, the area under the receiver operating characteristic curve (ROC) curve (AUC) values of MCV, MCH, MCHC, RDW were 0.846, 0.855, 0.617, and 0.593. Between MDS and AA, the AUC values of MCH, MCHC, RDW were 0.609, 0.671, and 0.662, respectively. Conclusions The red blood cell parameters contribute to the differential diagnosis of MDS, AA and MA and are related to MDS subtypes and risk groups (AU)

Improving the diagnosis of myelodysplastic syndrome by red blood cell parameters.

PURPOSE: To investigate the value of red blood cell parameters in Myelodysplastic syndrome (MDS) diagnosis and their relations to MDS subtypes and risk groups. METHODS: The red blood cell parameter [mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC) and red cell distribution width (RDW)] levels [203 MDS, 99 aplastic anemia (AA), 145 megaloblastic anemia (MA)] were collected from a single-center retrospective cohort. The cut-off values, area under the receiver operating characteristic curve (ROC) curve (AUC), sensitivity and specificity of the four parameters were calculated from the ROC. Furthermore, Kruskal-Wallis test and Dunn's Test were performed to determine erythrocyte parameters in different subtypes and prognostic risks MDS. RESULTS: There are significant statistic differences in RDW (P < 0.001), MCH (P = 0.036) and MCHC (P < 0.001) (MDS vs AA); RDW (P = 0.009), MCV (P < 0.001), MCH (P < 0.001) and MCHC (P = 0.001) (MDS vs MA); MCV (P = 0.011) and MCH (P = 0.008) (higher-risk MDS vs lower-risk MDS). Between MDS and MA, the area under the receiver operating characteristic curve (ROC) curve (AUC) values of MCV, MCH, MCHC, RDW were 0.846, 0.855, 0.617, and 0.593. Between MDS and AA, the AUC values of MCH, MCHC, RDW were 0.609, 0.671, and 0.662, respectively. CONCLUSIONS: The red blood cell parameters contribute to the differential diagnosis of MDS, AA and MA and are related to MDS subtypes and risk groups.

Impact factors for the outcome of the first 131I radiotherapy in patients with papillary thyroid carcinoma after total thyroidectomy.

OBJECTIVE: To investigate the impact factors of the outcome of the first 131I treatment in patients with papillary thyroid carcinoma (PTC) after total thyroidectomy. METHODS: Three hundred and fifty-three patients [256 females, 97 males, average age (43.58 ± 12.33 years)] with PTC after total thyroidectomy who underwent 131I treatment from July 2014 to August 2017 were retrospectively analyzed. Curative efficacy of 131I treatment was assessed 6 months afterward. Therapeutic outcome was determined according to thyrotropin (TSH)-stimulated thyroglobulin (sTg) level, 131I diagnostic whole-body scan (Dx-WBS) after 131I treatment and other imaging modalities. Twelve possible factors affecting the therapeutic outcome of 131I treatment including patients' gender, age, interval between surgery and 131I treatment, primary tumor size and extrathyroidal extension (ETE), number and range of primary tumor lesions, result of 99mTcO4- thyroid scan, number of metastatic lymph nodes (LN), pre-treatment laboratory measurements [TSH, sTg and Tg antibody (TgAb)], therapeutic dose of 131I and result of 131I post-treatment whole-body scan (Rx-WBS) were analyzed using univariate and multivariate logistic regression. The receiver operator characteristic (ROC) curve and diagnostic cutoff value were analyzed to evaluate the predictive value of the significant quantitative impact factors for the outcome of 131I treatment. RESULTS: The curative rate of the first 131I treatment in patients with PTC after total thyroidectomy was 62.32% (220/353). Univariate analysis indicated that gender, age, number and range of primary tumor lesions, number of metastatic LN, pre-treatment sTg and TgAb, therapeutic dose of 131I and result of 131I Rx-WBS (all P < 0.05) were significant factors affecting the outcome of 131I treatment. Multivariate analysis revealed that the numbers of metastatic LN (regression coefficient = 1.170) and sTg (regression coefficient = 0.280) were significant impact factors (all P < 0.001). The regression equation was: Logit P = - 3.997 + 1.170 × number of metastatic LN + 0.280 × sTg (χ2 = 210.68, P < 0.001). Taking sTg as a predictive factor for the outcome of the first 131I treatment, the area under the curve (AUC) of ROC for sTg was 0.917 (95% CI 0.890-0.944). The cutoff value of sTg was 2.69 ng/mL with a sensitivity of 92.48% (123/133) and specificity of 74.09% (163/220). CONCLUSION: Patients with PTC after total thyroidectomy with low pre-treatment sTg level and few lymph node metastases are more likely to be cured by the first 131I treatment.