scholarly journals Lower Mean Corpuscular Hemoglobin Concentration is Associated with Favorable Prognosis of Resected Pancreatic Cancer.

2020 ◽  
Author(s):  
Dan Wang ◽  
Xiaona Fan ◽  
Lin Fang ◽  
Tianshuo Zhou ◽  
Qingwei Li ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Malignant Tumors ◽  
Survival Curve ◽  
Hemoglobin Concentration ◽  
Radical Resection ◽  
Mean Corpuscular Hemoglobin ◽  
Mean Corpuscular Hemoglobin Concentration ◽  
Corpuscular Hemoglobin ◽  
Resectable Pancreatic Cancer ◽  
Corpuscular Hemoglobin Concentration

Abstract Objective: This study was designed to explore the value of mean corpuscular hemoglobin concentration (MCHC) for overall survival (OS) in resectable pancreatic cancer (PC). Background: Systemic inflammatory response are important factors that promotes the occurrence and metastasis of malignant tumors. MCHC are suggested to be relevant to the prognosis of several malignancies. Such as lung cancer, head and neck cancers. However, there are few studies to explore the correlation between them and PC. Methods: The present study included totally 544 patients with PC who underwent radical resection between March 2011 and May 2019. These patients were classified into a training set (n=195) and a validation set (n=349). Kaplan-Meier curve method and Cox proportional hazard regression model were employed to analyze prognosis. Results: Survival curve showed that OS were significantly favorable for resectable PC patients with low preoperative MCHC (P=0.015). Multivariate analysis suggested that MCHC (hazard ratio [HR], 1.266; 95% confidential interval [CI], 0.895-1.792; P=0.028) were independent prognostic factors for resectable PC patients. Conclusion: Low MCHC was positively correlated with OS in resectable PC, which could be used to predict the prognosis.

scholarly journals Preoperative Mean Corpuscular Hemoglobin Concentration, Red Cell Distribution Width As Predictive Markers For Pancreatic Cancer Patients Who Underwent Radical Pancreatomy

2020 ◽  
Author(s):  
Dan Wang ◽  
Xiaona Fan ◽  
Lin Fang ◽  
Tianshuo Zhou ◽  
Qingwei Li ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Hemoglobin Concentration ◽  
Red Cell Distribution Width ◽  
Mean Corpuscular Hemoglobin ◽  
Red Cell ◽  
Cell Distribution ◽  
Mean Corpuscular Hemoglobin Concentration ◽  
Corpuscular Hemoglobin ◽  
Distribution Width ◽  
Corpuscular Hemoglobin Concentration

Abstract Objective: To explore the value of mean corpuscular hemoglobin concentration (MCHC) and red cell distribution width (RDW) for overall survival (OS) and progression-free survival (PFS) in patients with pancreatic cancer (PC) who underwent radical pancreatomy.Background: Inflammatory factors are important factors in promoting the occurrence and metastasis of malignant tumors. RDW and MCHC are suggested to be relevant to the prognosis of several malignancies. Such as gastric cancer, colon cancer. However, there are few studies to explore the correlation between them and PC.Methods: This study included 532 patients with PC who underwent radical resection between March 2011 and May 2019. Kaplan-Meier curve method and Cox proportional hazard regression model were applied to analyze prognosis. Correlations between categorical variables were analyzed using Chi squared tests.Results: Survival curve showed that OS and PFS were significantly favorable for resectable PC patients with high preoperative MCHC (P=0.02) (P=0.005), RDW in the normal range (P<0.001) (P<0.001). Multivariate analysis suggested that MCHC (HR: 0.612, 95%CI: 0.426-0.879, P=0.008), and RDW (HR: 3.969, 95%CI: 2.952-5.338, P<0.001) were independent prognostic factors for resectable PC patients. MCHC (HR: 0.657, 95%CI: 0.458-0.943, P=0.023), RDW (HR: 3.915, 95%CI: 2.923-5.243, P < 0.001) were also independent recurrent factors for resectable PC patients. Correlation analysis showed that MCHC was related to tumor size, nerve invasion, and anemia-related indicators, meanwhile RDW was connected with carcinoma-embryonic antigen (CEA) and carbohydrate antigen199 (CA19-9).Conclusion: The preoperative MCHC and RDW were simple and convenient predictive factors for prognosis and progression of patients with PC.

Nilai Mean Corpuscular Hemoglobin Concentration, Mean Corpuscular Volume dan Mean Corpuscular Hemoglobin Darah Sapi Bali yang Dipelihara Berbasis Organik

2021 ◽  
pp. 39
Author(s):  
I Gede Agus Eva Prawira Adinata ◽  
Ni Ketut Suwiti ◽  
Anak Agung Sagung Kendran
Keyword(s):  
Mean Corpuscular Volume ◽  
Hemoglobin Concentration ◽  
Mean Corpuscular Hemoglobin ◽  
Corpuscular Volume ◽  
Mean Corpuscular Hemoglobin Concentration ◽  
Corpuscular Hemoglobin ◽  
Corpuscular Haemoglobin ◽  
Corpuscular Hemoglobin Concentration ◽  
Hematology Analyzer ◽  
Mean Corpuscular Haemoglobin

Telah dilakukan penelitian untuk mengetahui nilai hematologi MCHC (Mean Corpuscular Hemoglobin Concentration), MCV (Mean Corpuscular Volume) dan MCH (Mean Corpuscular Haemoglobin) darah sapi bali yang dipelihara berbasis organik. Sistem pemeliharaan berbasis organik adalah manajemen pemberian pakan yang berasal dari lingkungan serta tidak menggunakan pestisida atau zat kimia lainnya. Nilai MCV, MCH dan MCHC darah sapi bali diukur dengan Veterinary hematology analyzer. Hasil penelitian menunjukan, nilai dari MCHC sebesar 39,17%/dl, MCV sebesar 48,44 fl dan nilai dari MCH sebesar 18,69pg. Dapat disimpulkan rerata nilai tersebut masih dalam batas normal nilai indeks eritrosit sapi pada umumnya.

Mean corpuscular hemoglobin concentration correlates with prognosis of resected hepatocellular carcinoma

2020 ◽  
Vol 14 (4) ◽  
pp. 259-270
Author(s):  
Weihao Kong ◽  
Jun Zheng ◽  
Liang Chen ◽  
Xiaomin Zuo ◽  
Hengyi Wang ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Cox Regression ◽  
Hemoglobin Concentration ◽  
Hazard Ratio ◽  
Mean Corpuscular Hemoglobin ◽  
Tumor Diameter ◽  
Mean Corpuscular Hemoglobin Concentration ◽  
Corpuscular Hemoglobin ◽  
Cox Regression Analysis ◽  
Corpuscular Hemoglobin Concentration

Aim: To evaluate the prognostic role of mean corpuscular hemoglobin concentration (MCHC) in hepatocellular carcinoma (HCC) after hepatectomy. Patients & methods: A total of 289 HCC patients were classified into two groups based on the cut-off value of MCHC. Significant prognostic factors were screened by univariate and multivariate analysis. Results: Low MCHC value was significantly associated with tumor diameter (p = 0.004) and vascular invasion (p = 0.038). Besides, Cox regression analysis showed that low MCHC was significantly associated with poor prognostic outcomes with HCC after hepatectomy (overall survival: hazard ratio: 0.372; 95% CI: 0.206–0.672; p = 0.001; recurrence-free survival: hazard ratio: 0.450; 95% confidence interval: 0.317–0.638; p < 0.001). Conclusion: Preoperative MCHC can predict prognosis for patients with HCC, and the lower MCHC value was associated with poor prognosis after hepatectomy.

Changes of RBC aggregation in oxygenation-deoxygenation: pH dependency and cell morphology

2003 ◽  
Vol 284 (6) ◽  
pp. H2335-H2342 ◽  
Author(s):  
Iwona Cicha ◽  
Yoji Suzuki ◽  
Norihiko Tateishi ◽  
Nobuji Maeda
Keyword(s):  
Cell Shape ◽  
Morphological Changes ◽  
Hemoglobin Concentration ◽  
Cell Diameter ◽  
Mean Corpuscular Hemoglobin ◽  
Mean Corpuscular Hemoglobin Concentration ◽  
Corpuscular Hemoglobin ◽  
Autologous Plasma ◽  
Corpuscular Hemoglobin Concentration ◽  
Rbc Aggregation

The effects of the oxygenation-deoxygenation process on red blood cell (RBC) aggregation were examined in relation to morphological changes in RBCs and the contribution of CO2. A low-shear rheoscope was used to measure the rate of rouleaux (one-dimensional aggregate) formation in diluted autologous plasma exposed to gas mixtures with different Po 2 and Pco 2. RBC indexes and RBC suspension pH were measured for the oxygenated or the deoxygenated condition, and the cell shape was observed with a scanning electron microscope. In the oxygenation-deoxygenation process, the rate of rouleaux formation increased with rising pH of the RBC suspension, which was lowered in the presence of CO2. The rate increased with increasing mean corpuscular hemoglobin concentration (thus the cells shrank), which increased with rising pH and decreased in the presence of CO2. With rising pH, cell diameter increased and cell thickness decreased (thus the cell flattened). In addition, slight echinocytosis was induced in the presence of CO2, and the aggregation was reduced by the morphological change. In conclusion, RBC aggregation in the oxygenation-deoxygenation process is mainly influenced by the pH-dependent change in the surface area-to-volume ratio of the cells, and the aggregation is modified by CO2-induced acidification and the accompanying changes in mean corpuscular hemoglobin concentration and cell shape.

Overestimation of Hemoglobin in a Patient With an IgA-κ Monoclonal Gammopathy

2000 ◽  
Vol 124 (4) ◽  
pp. 616-618 ◽  
Author(s):  
William L. Roberts ◽  
Jo D. Fontenot ◽  
Christopher M. Lehman
Keyword(s):  
Whole Blood ◽  
Monoclonal Gammopathy ◽  
Hemoglobin Concentration ◽  
Mean Corpuscular Hemoglobin ◽  
Mean Corpuscular Hemoglobin Concentration ◽  
Corpuscular Hemoglobin ◽  
Plasma Hemoglobin ◽  
A Value ◽  
Corpuscular Hemoglobin Concentration ◽  
Corrected Result

Abstract A patient with multiple myeloma had an automated blood count performed on a Coulter STK-S counter that repeatedly failed internal limits for both mean corpuscular hemoglobin and mean corpuscular hemoglobin concentration. The calculated hematocrit agreed with a spun hematocrit, suggesting that the hemoglobin concentration was being overestimated by the automated counter. Measurement of the plasma hemoglobin concentration of the sample, which showed no visible hemolysis, gave a hemoglobin concentration of 32 g/L on the STK-S analyzer. Correction of the whole blood hemoglobin using the plasma hemoglobin gave a value consistent with the hematocrit. The corrected mean corpuscular hemoglobin and mean corpuscular hemoglobin concentration values were within standard limits. This patient's paraprotein was characterized as IgA-κ and was present at a concentration of 61 g/L. The hemoglobin concentration measured on whole blood by Sysmex NE 8000 and Technicon H*1E autoanalyzers agreed reasonably well with the corrected result from the STK-S.

scholarly journals Daily water regime and sample sampling affect blood and urine parameter value change in healthy individuals

2021 ◽  
Vol 82 (1) ◽  
Author(s):  
Snezana M. Jovicic
Keyword(s):  
Water Intake ◽  
Freezing Point ◽  
Hemoglobin Concentration ◽  
Mean Corpuscular Hemoglobin ◽  
Mean Corpuscular Hemoglobin Concentration ◽  
Freezing Point Depression ◽  
Corpuscular Hemoglobin ◽  
Potassium Sodium ◽  
Corpuscular Hemoglobin Concentration ◽  
Concentration Changes

Abstract Background Homeostasis is a mechanism for maintaining a stable inner environment in healthy participants. Blood and urine biomarkers are indicators of the subject health status. Biomarkers apply for early diagnosis, prognosis, and treatment. Understanding the effect of pre-analytical factors on biomarker range is significant for the data quality of bio-specimens, reproducibility, and minimizing potential results errors. Water as a necessary element for the normal functioning of living beings and sampling frequency as pre-analytical factors influences the homeostatic range of parameters. The purpose of the study is to examine the effect of 9-day fluid intake and 2-time sampling on concentration changes of 7-urine (freezing point depression, potassium, sodium, chloride, urea, creatinine, urate) and 17-blood (urea, creatinine, urate, glucose, C-reactive protein, leukocytes, erythrocytes, hemoglobin, hematocrit, mean corpuscular volume, mean corpuscular hemoglobin, mean corpuscular hemoglobin concentration, mean platelet volume, thrombocytes, potassium, sodium, and chloride) variables. Methods Parametric and non-parametric test apply to data processing with SPSS software v23.0. Results The group of 23 healthy subjects was divide based on water intake (test: more than 1800 ml; control: less than 2000 ml) and gender (female: 10(43%); male: 13(57%)). The mean value of the amount of fluid consumed for the test group is 2183.33 ml, while the control is 1395.83 ml. Investigated parameters, freezing point depression, sodium, potassium, creatinine urea and urate in urine, urea, urate, glucose, hematocrit, and thrombocyte in blood show a significant difference (P < 0.01) between the first and second sampling. The difference between water intake after first sampling (P < 0.01) observes for freezing point depression, sodium, urate, and (P < 0.05) for potassium (P < 0.05), chloride (P < 0.05), creatinine (P < 0.05), urate, urea in urine and potassium (P < 0.01), and chloride (P < 0.05) in blood. Difference between gender exists for urea (P < 0.05) in urine after second sampling and urate (P < 0.01), glucose (P < 0.01/0.05), hematocrit (P < 0.01/0.05) after the first and second sampling, and mean corpuscular hemoglobin concentration (P < 0.01) after secondary sampling in blood samples. Conclusion Water intake increases the blood and urine biomarker range after the first and second sampling. Further studies should include a larger number of participants to get precise reference limits in a healthy population. Compare health and disease states to draw practical clinical conclusions.

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