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Journal articles on the topic 'Mean cell volume'

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Published: 10 December 2022

Last updated: 28 January 2023

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1

Ronada, Laxmi, Shashikala P, Kavita G.U., Deepti Pruthvi, and Rajashree K. "Analysis of Red Cell Profile: Red Cell Distribution Width, Hemoglobin, Mean Corpuscular Volume in Elderly Patients." Indian Journal of Pathology: Research and Practice 6, no. 3 (part-1) (2017): 618–21. http://dx.doi.org/10.21088/ijprp.2278.148x.6317.18.

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2

Mellors, I., C. Leyland, and B. M. McArdle. "Calibration of erythrocyte mean cell volume." Clinical & Laboratory Haematology 17, no. 1 (June 28, 2008): 100–101. http://dx.doi.org/10.1111/j.1365-2257.1995.tb00329.x.

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3

Liao, Lin, Zeng-Fu Deng, Yu-Ling Qiu, Ping Chen, Wen-Qiang Chen, and Fa-Quan Lin. "Values of mean cell volume and mean sphered cell volume can differentiate hereditary spherocytosis and thalassemia." Hematology 19, no. 7 (January 20, 2014): 393–96. http://dx.doi.org/10.1179/1607845413y.0000000149.

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4

Yörükoǧlu, Kutsal, Safiye Aktas, Cem Güler, Murat Sade, and Ziya Kirkali. "Volume-weighted mean nuclear volume in renal cell carcinoma." Urology 52, no. 1 (July 1998): 44–47. http://dx.doi.org/10.1016/s0090-4295(98)00135-6.

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5

Lines, R. W., and E. Grace FIMLS. "Choice of anticoagulants for packed cell volume and mean cell volume determination." Clinical & Laboratory Haematology 6, no. 3 (June 28, 2008): 305–6. http://dx.doi.org/10.1111/j.1365-2257.1984.tb00557.x.

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6

Bos, Hendrik, and Wanderley de Souza. "Morphometrical Method for Estimating Mean Cell Volume of Phagocytosing Cells." Microscopy and Microanalysis 7, no. 1 (January 2001): 39–47. http://dx.doi.org/10.1007/s100050010060.

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AbstractA method is described for the estimation of mean cell volume of phagocytosing cells. The cells are coembedded with yeast particles of known size. By combination of data obtained from morphometrical analysis of sections in both the light and transmission electron microscopes, an estimate of the ratio between cell volume and yeast particle volume is obtained. The method makes use of the dissector but does not require measurements on serial sections or knowledge of section thickness. Evaluation of the method was done by studying the effect of phagocytosis of latex beads on macrophage cell volume and surface area. It was found that the surface area of phagocytosing macrophages remained constant although the cell volume increased by 27%. Furthermore, in phagocytosing macrophages, the amount of membrane enclosing intracellular vacuoles decreased by 28%, but this loss of membrane was balanced by the appearance of membrane enclosing the phagocytosed latex beads. The method described here may prove useful for morphometrical studies on phagocytosing leukocytes, as well as on intracellular parasites located within these cells.

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7

Green, Alexa S., and Nicolas Chapuis. "A pernicious mean corpuscular volume." Blood 131, no. 4 (January 25, 2018): 472. http://dx.doi.org/10.1182/blood-2017-09-807149.

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8

Muntoni, Sergio, and Marco Songini. "Increased mean red cell volume in diabetes mellitus." Acta Diabetologica Latina 23, no. 3 (September 1986): 249–52. http://dx.doi.org/10.1007/bf02624712.

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9

LESSELS, S., and R. J. L. DAVIDSON. "The low mean cell volume in routine haematology." Clinical & Laboratory Haematology 1, no. 4 (June 28, 2008): 291–98. http://dx.doi.org/10.1111/j.1365-2257.1979.tb01094.x.

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10

WEBSTER, P., and G. GRIFFITHS. "A novel method for mean cell volume estimation." Journal of Microscopy 174, no. 2 (May 1994): 85–92. http://dx.doi.org/10.1111/j.1365-2818.1994.tb03452.x.

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11

Arora, Rahul Darshan, Jasmita Dass, Seema Maydeo, Vandana Arya, Jyoti Kotwal, and Manorama Bhargava. "Utility of mean sphered cell volume and mean reticulocyte volume for the diagnosis of hereditary spherocytosis." Hematology 23, no. 7 (January 16, 2018): 413–16. http://dx.doi.org/10.1080/10245332.2018.1423879.

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12

Thavamani, Aravind, Regi Ramanathan, and Mammen Puliyel. "Mean Platelet Volume Predicts Mortality in Sickle Cell Disease." Blood 132, Supplement 1 (November 29, 2018): 2383. http://dx.doi.org/10.1182/blood-2018-99-117648.

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Abstract Background: Sickle cell disease (SCD) is a life-threatening disease with varied clinical spectrum and severity leading to premature death. There is a lack of validated prognostic markers in SCD. Recent evidence suggests that inflammation and platelet adhesion plays a critical role in the pathophysiology of vaso-occlusion in SCD. Elevated Mean Platelet Volume (MPV) values are associated with a higher degree of inflammation in many disease states but its effect on sickle cell disease or its severity is unknown. Objective: To analyze the role of MPV in predicting disease severity/mortality in patients with SCD. Methodology: This is a retrospective single center study and included patients with sickle cell disease between 6 months and 60 years of age during a 10-year period (2006-2016). Demographic information, lab data and clinical information including acute chest syndrome (ACS), priapism, transfusions, sepsis, pain crisis, avascular necrosis (AVN) were collected. All laboratory data were collected in steady state with no crisis in the recent past 3 months. The disease severity score/probability of death was calculated using a validated model to predict risk of death in sickle cell disease (Sebastiani et al. Blood 2007). Spearman's correlation test was used to analyze correlation coefficient between MPV and probability of death. Results: Total no. of patients =230; Male 112 (49%); Female 118 (51%). All patients were of African-American origin. Disease severity, Hb SS - 156 (67.5%); Hb SC - 64 (27.8%) and Sickle-Beta thalassemia 11 (4.7%). MPV has a significant positive correlation with the probability of death, p < 0.001 and correlation coefficient, r=0.222. Of the total population, 78 had acute chest syndrome, 30 had AVN, 47 had recurrent pain crisis, 16 had stroke (2 -moyamoya cases), 18 had culture proven sepsis. Our population was further divided into 3 subgroups based on their age (Group 1 - 0-18 years; Group 2 - 19-40 years; group 3- above 40 years) and we found no statistical difference in the mean platelet volume across different age groups. However in pediatric population (Group 1), hydroxyurea was associated with significantly lower MPV, p=0.023 and this is independent of Hb F levels. Using linear regression model, with probability of death as a dependent variable and hydroxyurea, MPV as independent variables, MPV maintains a significant association with probability of death (p=0.003). We also found strong positive correlation of MPV with the probability of death in pediatric age group, p=0.004, r =0.405. Conclusion: MPV is an independent biomarker predicting disease severity and probability of death in patients with sickle cell disease with a strong correlation especially in pediatric age group. Although there was no statistical significance across age groups, the variation of MPV for each patient with age needs to be studied for better understanding. Hydroxyurea a known disease-ameliorating agent is associated with lower MPV values in pediatric age group. This effect is independent of the levels of fetal hemoglobin and may be due to anti-inflammatory effect of hydroxyurea or decreased platelet consumption. Figure. Figure. Disclosures No relevant conflicts of interest to declare.

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13

Hambidge, David M. "Gamma Glutamyl Transpeptidase and Mean Cell Volume in Alcoholics." British Journal of Psychiatry 150, no. 4 (April 1987): 568. http://dx.doi.org/10.1192/bjp.150.4.568a.

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14

StÄubli, M., and B. Roessler. "The mean red cell volume in long distance runners." European Journal of Applied Physiology and Occupational Physiology 55, no. 1 (April 1986): 49–53. http://dx.doi.org/10.1007/bf00422892.

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15

Petrunkina, A. M., and E. Töpfer-Petersen. "Heterogeneous osmotic behaviour in boar sperm populations and its relevance for detection of changes in plasma membrane." Reproduction, Fertility and Development 12, no. 6 (2000): 297. http://dx.doi.org/10.1071/rd00087.

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The spermatozoa of most mammals behave as ‘perfect osmometers’. The volume response to osmolality obeys the Boyle–Van’t Hoff relationship (i.e. volume changes are determined by the osmotically active fraction of the cell volume (solids and water)). Most evaluations of osmotic sperm cell behaviour have been based on the mean volume of the cell population. In the present study, both mean and modal volumes of samples of sperm were evaluated. Both mean and modal volumes responded to environmental osmolality via the Boyle–Van’t Hoff relationship; however, the modal volume showed a more sensitive response than the mean volume. This was confirmed for both ejaculated and epididymal spermatozoa. After incubation under capacitating conditions, the difference in modal and mean volume response of ejaculated sperm was considerably diminished and, in epididymal sperm, completely abolished. The sperm osmotic behaviour was still consistent with the Boyle–Van’t Hoff equation, but the apparent osmotically inactive modal cell volume decreased after exposure to capacitating conditions in both ejaculated and epididymal sperm samples. The changes in epididymal sperm were more intensive. Due to its enhanced sensitivity to environmental osmolality and incubation under capacitating conditions, the modal volume could be used as a parameter for evaluating sperm population response, such as for detecting environmentally or cryopreservation-induced membrane changes.

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16

Fitzgerald, DA, AG Smith, and C. Stonier. "Volume-Weighted Mean Nuclear Volume in Basal Cell Carcinoma and Risk of Recurrence." Clinical Science 88, s32 (February 1, 1995): 23P. http://dx.doi.org/10.1042/cs088023p.

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17

Aksoy, Fatih. "Radiofrequency catheter ablation increases mean platelet volume." Revista da Associação Médica Brasileira 65, no. 8 (August 2019): 1080–85. http://dx.doi.org/10.1590/1806-9282.65.8.1080.

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SUMMARY OBJECTIVE Radiofrequency ablation (RFA) may increase the risk of thromboembolic events. The objective of this study was to evaluate the effect of RFA on mean platelet volume (MPV), an indicator of platelet activity. METHODS A total of 95 patients undergoing RFA were included in the study. MPV was measured before and one month after the procedure. The control group was formed by 83 individuals of the same sex and age as those in the study group. RESULTS Beta-blockers, non-dihydropyridine calcium channel blockers, and acetylsalicylic acid use was higher in the ablation group compared with the control group. Other baseline clinical characteristics and baseline hemoglobin, white blood cell count, platelet count, and MPV values were similar between the ablation and control groups. In the ablation group, baseline and post-procedural hemoglobin, white blood cell counts were similar. However, postprocedural MPV values were higher, and platelet counts were lower compared with the preprocedural values. CONCLUSION Our results indicate that MPV values are higher after RFA compared with baseline values.

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18

Winkelmeier, Petra, Bernd Glauner, and Toni Lindl. "Quantification of Cytotoxicity by Cell Volume and Cell Proliferation." Alternatives to Laboratory Animals 21, no. 2 (April 1993): 269–80. http://dx.doi.org/10.1177/026119299302100222.

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A fast and sensitive method for the quantification of cytotoxicity, using the cell counter and analyser system, CASY 1, was established. This system has a high resolution and a large dynamic range of volume determination, permitting the volume changes caused by cytotoxic effects to be measured in a reproducible and standardised manner. As a first approach, eight cytotoxic compounds with different modes of action were investigated. For seven of the compounds, changes in the mean cell volume could be demonstrated after three hours. All eight compounds showed a dramatic decrease in mean cell volume within 24 hours. Depending on the degree of membrane destruction caused by the direct or indirect actions of the cytotoxic compounds, values for the mean cell volume between the size of an undamaged cell and the size of the cell nucleus were determined. In addition, the number of living cells was substantially decreased by exposure to the chemicals. Both of the effects of cytotoxic compounds can be detected by following a single parameter, i.e. total cell volume. This parameter is highly sensitive for the detection and quantification of cytotoxicity. IC50 values were within the range obtained in testing by other methods. Cytotoxicity testing by CASY 1 is recommended when highly reproducible measurement is necessary, but the system is also valuable for cell counting and volume determination.

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19

Chao, M. R., and C. Y. Chen. "Effects of inoculum's mean cell volume on algal toxicity tests." Water Science and Technology 42, no. 7-8 (October 1, 2000): 291–96. http://dx.doi.org/10.2166/wst.2000.0581.

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The aim of the present study is to compare the effects of the mean cell volume (MCV) of algal inoculum to the sensitivity and reproducibility of the toxicity test. Two sets of experiments were conducted using inoculums with the MCV equal to 60 μm3/cell and 40 μm3/cell, respectively. The initial cell densities, however, were kept the same at 10,000 cells/mL. The results show that larger MCV of the inoculum results in greater EC50 values. Similar observations and conclusions were obtained from comparisons based on NOEC values. Thus, MCV of the inoculum significantly influences the observed toxic response in terms of EC50 and NOEC values. It is also evident that, there is a significant increase in the test variability if the MCV is not controlled properly. This study reports that standardizing the initial mean cell volume of algal culture can improve inter-laboratory and intra-laboratory precision. Furthermore, replacing the EC50 values by the calculated exposure values (EE50) can reduce the variability in data due to differences in the MCV of the inoculum.

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20

Sharp, Dan S., J. David Curb, Irwin J. Schatz, Herbert J. Meiselman, Timothy C. Fisher, Cecil M. Burchfiel, Beatriz L. Rodriguez, and Katsuhiko Yano. "Mean Red Cell Volume as a Correlate of Blood Pressure." Circulation 93, no. 9 (May 1996): 1677–84. http://dx.doi.org/10.1161/01.cir.93.9.1677.

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21

Yun, Zhi-yuan, Xin Zhang, Zhi-ping Liu, Tiemin Liu, Rui-tao Wang, and Hui Chen. "Association of decreased mean platelet volume with renal cell carcinoma." International Journal of Clinical Oncology 22, no. 6 (June 29, 2017): 1076–80. http://dx.doi.org/10.1007/s10147-017-1158-2.

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22

Kojima, Noriko, Noriyuki Tatsumi, Kazuhide Kojima, and Kikuo Kirihigashi. "Effects of Oxygen and Carbon Dioxide on Mean Cell Volume." Acta Haematologica 99, no. 2 (1998): 65–68. http://dx.doi.org/10.1159/000040812.

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23

Erdem, Emre, Dilek Erdem, Melda Dilek, Coşkun Kaya, Ahmet Karataş, Engin Kut, Murat Çoban, Kuddusi Cengiz, Nurol Arık, and Tekin Akpolat. "Red Cell Distribution Width and Mean Platelet Volume in Amyloidosis." Clinical and Applied Thrombosis/Hemostasis 20, no. 3 (October 17, 2012): 334–37. http://dx.doi.org/10.1177/1076029612462761.

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24

Hauser, Leeana, Anthony Kurec, Jack Goldberg, Ronald L. Dubowy, and Frederick R. Davey. "Prognostic significance of mean cell volume in non-Hodgkin's lymphomas." Cancer 57, no. 12 (June 15, 1986): 2363–67. http://dx.doi.org/10.1002/1097-0142(19860615)57:12<2363::aid-cncr2820571221>3.0.co;2-v.

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25

Ceriello, A. "Mean red blood cell volume, narcotic addiction, and glucose tolerance." Archives of Internal Medicine 145, no. 8 (August 1, 1985): 1530b—1531. http://dx.doi.org/10.1001/archinte.145.8.1530b.

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26

Ceriello, Antonio. "Mean Red Blood Cell Volume, Narcotic Addiction, and Glucose Tolerance." Archives of Internal Medicine 145, no. 8 (August 1, 1985): 1530. http://dx.doi.org/10.1001/archinte.1985.00360080212037.

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27

Arora, Neeraj, Sachin Jain, David Inbakumar, Joy Mammen, Usha Sitaram, and SukeshC Nair. "Mean reticulocyte volume enhances the utility of red cell mean sphered cell volume in differentiating peripheral blood spherocytes of hereditary spherocytosis from other causes." Indian Journal of Pathology and Microbiology 58, no. 3 (2015): 307. http://dx.doi.org/10.4103/0377-4929.162836.

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28

Brodthagen, Uffe A., Knud N�rregaard Hansen, Jens Bjerre Knudsen, Robert Jordal, Ole Kristensen, and Poul Erik Paulev. "Red cell 2,3-DPG, ATP, and mean cell volume in highly trained athletes." European Journal of Applied Physiology and Occupational Physiology 53, no. 4 (February 1985): 334–38. http://dx.doi.org/10.1007/bf00422849.

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29

Binder, Michael, Andreas Steiner, Ulli Mossbacher, Mesfin Hunegnaw, Hubert Pehamberger, and Klaus Wolff. "Estimation of the Volume-Weighted Mean Nuclear Volume Discriminates Keratoacanthoma From Squamous Cell Carcinoma." American Journal of Dermatopathology 20, no. 5 (October 1998): 453–58. http://dx.doi.org/10.1097/00000372-199810000-00004.

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30

Hola, M., and P. A. Riley. "The relative significance of growth rate and interdivision time in the size control of cultured mammalian epithelial cells." Journal of Cell Science 88, no. 1 (August 1, 1987): 73–80. http://dx.doi.org/10.1242/jcs.88.1.73.

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Genealogies of a line of mammalian epithelial cells (GPK) have been constructed from time-lapse film of monolayer cultures and measurements made of initial (post-divisional) cell size, final (pre-divisional) cell size and interdivision time (IDT). The mean initial cell volume was 2696 +/− 404 (S.D.) micron3, the mean final volume was 5247 +/− 696 micron3 and the mean IDT was 985 +/− 84 min. Cell size regulation must be by modulation of either the growth rate or the length of the growth period. Increase in size was strongly correlated with the average rate of growth (increase in volume per unit time) (R = 0.94, P much less than 0.001), whilst no correlation was found between increase in size and IDT. Although a negative correlation was found between initial volume and IDT (P less than 0.02), this appeared to be due to differences in IDT between sister cells being correlated with differences in their initial volumes (P less than 0.02), as indicated by the lack of correlation between mean sister IDT and mean sister initial volume. The regulatory effect of growth rate was demonstrated by a negative correlation between growth rate and the initial volume of the cell (P less than 0.005), which is independent of differences between siblings. The mean growth rate of sibling cells was found to be negatively correlated with both the maternal growth rate (P less than 0.01) and the maternal volume increase (P less than 0.005). This implies that the growth rate of division products (which manifest similar growth rates) is influenced by the growth of the progenitor cell.

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31

Radin, M. J., M. C. Eubank, and M. G. Weiser. "Electronic Measurement of Erythrocyte Volume and Volume Heterogeneity in Horses During Erythrocyte Regeneration Associated with Experimental Anemias." Veterinary Pathology 23, no. 6 (November 1986): 656–60. http://dx.doi.org/10.1177/030098588602300602.

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Anemia was induced in three groups of horses by moderate or severe acute hemorrhage, or by acetyl phenylhydrazine-induced hemolysis (Groups I, II, and III, respectively). Serial hemograms were done on a multichannel automated blood cell counter with histogram capability. Changes in hematocrit, mean cell volume, erythrocyte number, red cell distribution width (RDW), and standard deviation of erythrocyte volume were examined over time. Significant increases in mean cell volume were first detectable by days 17, 20, and 14 and reached maximum by days 43, 41, and 29, in Groups I, II, and III, respectively ( P < 0.05). Increased mean cell volume was interpreted as reflecting accelerated erythrocyte regeneration; however, not all horses with accelerated regeneration had changes in mean cell volume. Estimated erythrocyte production rate correlated poorly with hematocrit nadir and change in mean cell volume ( r = 0.37 and r = 0.36, respectively, P > 0.05). In some horses effective regeneration occurs without development of macrocytosis. Mean cell volume remained increased after other parameters returned to control values, suggesting that mean cell volume values may provide retrospective evidence of altered erythrocyte turnover. Anisocytosis as indicated by significant increases in the standard deviation was greatest during the early part of the regenerative response, reaching maximum values on days 30, 28, and 21 in Groups I, II, and III, respectively, and began to decrease as homogeneous repopulation with macrocytes occurred. Red cell distribution width increased significantly only in severe hemorrhage and hemolysis groups, reaching mean maximum values of 24.3 on day 20 and of 26.4 on day 21 in Groups II and III, respectively ( P < 0.05). Red cell distribution width did not detect increased erythrocyte volume heterogeneity in Group I.

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32

Khandekar, Aditya, Sourya Acharya, and Samarth Shukla. "Mean Platelet Volume as a Prognostic Indicator in Sickle Cell Anemia." International Journal of Recent Surgical and Medical Sciences 04, no. 01 (January 2018): 005–9. http://dx.doi.org/10.5005/jp-journals-10053-0062.

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Abstract Aim: To assess the use of mean platelet volume (MPV) as a prognostic indicator of sickle cell disease (SCD). Materials and methods: Fifty sickle cell patients aged 18 to 60 years, attending the Medicine outpatient department (OPD) and sickle cell clinic, or admitted with an ongoing crisis, were chosen as the study group, and 50 healthy participants were chosen as controls. A pro forma detailing relevant clinical history was obtained, with emphasis on admissions. Then, a blood sample was collected and analyzed for various parameters.Patients were classified into two categories:• Category 1: Patients with <3 reported vaso-occlusive crises in the previous year, and• Category 2: Patients with >3 reported vaso-occlusive crises in the previous year, or admitted to the medicine ward/intensive care unit (ICU), currently with an ongoing crises. Results: Mean hemoglobin (Hb) values were found to be statistically lower in sickle cell patients compared with controls, while mean total leukocyte count (TLC) and mean neutrophil % values were higher in sickle cell patients. Mean platelet volume in category 2 patients was higher compared with category 1 patients (p < 0.001), and values correlated with the mean neutrophil percentages. Also, MPV, TLC, and neutrophil % values showed a statistically significant drop (p < 0.001) 2 weeks after treatment for sickle cell crises. Conclusion: Thus, MPV can be used as a potential marker to identify patients at a greater risk of developing vaso-occlusive crises in the future, which, in a developing country like India, can be a key step toward affordable, primary prevention of future emergencies.

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33

Artacho-Perula, E., R. Roldan-Villalobos, and J. F. Martinez-Cuevas. "Value of volume weighted mean nuclear volume in grading and prognosis of renal cell carcinoma." Journal of Clinical Pathology 47, no. 4 (April 1, 1994): 324–28. http://dx.doi.org/10.1136/jcp.47.4.324.

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34

Kanamaru, Sasaki, Miwa, Akino, and Okada. "Prognostic value of sarcomatoid histology and volume-weighted mean nuclear volume in renal cell carcinoma." BJU International 83, no. 3 (December 25, 2001): 222–26. http://dx.doi.org/10.1046/j.1464-410x.1999.00912.x.

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35

TØNNESEN, HANNE, LISSIE HEJBERG, STEEN FROBENIUS, and JENS RIKARDT ANDERSEN. "Erythrocyte Mean Cell Volume-Correlation to Drinking Pattern in Heavy Alcoholics." Acta Medica Scandinavica 219, no. 5 (April 24, 2009): 515–18. http://dx.doi.org/10.1111/j.0954-6820.1986.tb03348.x.

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36

Simmons, D., and T. Hlaing. "Interpretation of HbA1c : association with mean cell volume and haemoglobin concentration." Diabetic Medicine 31, no. 11 (June 26, 2014): 1387–92. http://dx.doi.org/10.1111/dme.12518.

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37

Dhillon, Wishwdeep S., Lothe Pooja, Kristine Ward, Pamela A. Crilley, David Topolsky, and Michael Styler. "Mean Platelet Volume Predicts Platelet Engraftment Post Hematopoietic Stem Cell Transplantation." Blood 122, no. 21 (November 15, 2013): 5507. http://dx.doi.org/10.1182/blood.v122.21.5507.5507.

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Abstract Introduction The exact duration of thrombocytopenia after stem cell transplantation is difficult to predict. However, studies have shown that the presence of large platelets in the circulation may indicate enhanced platelet production in the bone marrow. The goal of this study was to characterize the relationship between mean platelet volume (MPV) and platelet count recovery in the setting of hematopoietic stem cell transplantation (HSCT) and to characterize how the MPV changes as the bone marrow recovers from the transient aplastic phase. Methods The data was collected by retrospective medical chart review of patients who underwent HSCT at Hahnemann University Hospital between 2007 and 2012. Platelet counts and MPV were obtained from day zero of transplantation until full platelet recovery. Platelet recovery was defined as the first day at which platelet count spontaneously exceeded 20,000/μL, increased consistently, and patients were free of platelet transfusion due to thrombocytopenia. Using the beginning of platelet recovery as a landmark day, the platelet counts were divided into four phases: aplastic phase, pre-recovery phase, early recovery phase, and full recovery phase. MPV during pre recovery and early recovery phase was compared with MPV during aplastic and full recovery phase. Mean, standard deviation (SD), median and range were obtained for age, platelet count, MPV, ANC, Hemoglobin, HCT and white count. Number of observations for gender, transplant, and graft were compared with Chi-squared test, and P-values were reported. Analysis of Variance (ANOVA) with post-hoc analysis was performed to compare MPV measurements between the phases. The level of significance was set at 0.05. Data entry and analysis was performed with SPSS (IBM Corp. Released 2011. IBM SPSS Statistics for Windows, Version 20.0. Armonk, NY: IBM Corp). Results 60 subjects were considered for the study, but 19 were excluded because the day of platelet recovery could not be determined from the available data. Of the 41 evaluable subjects, 22 were male and 19 female. The median age was 56 years (range 23 to 79). 34 patients (88%) underwent autologous and 7 allogeneic HSCT, with 36 getting peripheral stem cells (83%) and 5 getting marrow stem cells. Mean (SD) of MPV (fL) at aplastic, pre-recovery, early-recovery and full-recovery phases were 7.7 (0.67), 8.5 (0.88), 8.6 (0.88) and 7.4 (0.79), respectively. There was a statistically significant increase in MPV between the aplastic and pre-recovery phases (p<0.001), and between aplastic and early-recovery phases (p<0.001). The MPV then declined significantly between pre-recovery phase and full-recovery phase (p<0.001), and between early-recovery phase and full-recovery phase (p<0.001). Conclusions Our study demonstrated that MPV increased during the three-day period prior to start of platelet recovery. The rise in MPV was sustained during the early-recovery phase. The MPV then dropped back down when full platelet recovery was established. Our results show that spikes in MPV can be a useful marker of impending platelet engraftment within a few days of the rise in MPV. This information may be useful to determine the need for directed donor platelet collections. Disclosures: No relevant conflicts of interest to declare.

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38

Qudeimat, Amr, Wei Wei, Elizabeth Garrett-Mayer, John Lazarchick, and Michelle Hudspeth. "Changes in Red Blood Cell Mean Corpuscular Volume after Pediatric HSCT." Biology of Blood and Marrow Transplantation 20, no. 2 (February 2014): S172—S173. http://dx.doi.org/10.1016/j.bbmt.2013.12.279.

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39

Sekhar, Jeevan, and Sally P. Stabler. "Life-threatening megaloblastic pancytopenia with normal mean cell volume: Case series." European Journal of Internal Medicine 18, no. 7 (November 2007): 548–50. http://dx.doi.org/10.1016/j.ejim.2007.02.023.

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Rabbani, Sahar, Muhammad Farooq, Samina Naeem, ,. Muhammad Abdul Naeem, Nasir Uddin, and Muhammad Zubair. "RELATIONSHIP BETWEEN RED BLOOD CELL AND PLATELET INDICES IN IRON DEFICIENCY ANEMIA." PAFMJ 71, no. 2 (April 29, 2021): 575–78. http://dx.doi.org/10.51253/pafmj.v71i2.3904.

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Objective: To find out the correlation between the red blood cell and platelet indices in patients presenting with iron deficiency anemia at a tertiary care hospital of Pakistan. Study Design: Cross-sectional study. Place and Duration of Study: Department of Hematology, Combined Military Hospital Lahore, from Sep 2018 to Mar 2019. Methodology: The patients of age 1-70 years of either gender presenting with IDA were included in the study. The blood sample of patients were sent to laboratory to assess the red blood cell and platelet indices. SPSS-23 was used to analyze data. Results: Two hundred and seven patients fulfilling the inclusion criteria were included in this study. The mean age was 25.6 ±17.8years. Correlation was weak and insignificant between haemoglobin and packed cell volume (r=-0.385**, p<0.01), haemoglobin and mean cell volume (r=-0.225**, p<0.01), packed cell volume and mean cell haemoglobin (r =0.263**, p<0.01), & mean cell haemoglobin and mean platelet volume (r=0.143*, p<0.05). Correlation was moderate and significant between platelet distribution width and mean platelet volume (r=0.511**) & platelet distribution width and platelet large cell ratio (0.502**, p<0.01). Correlation was strong between mean platelet volume and platelet large cell ratio (r=0.759**, p<0.01). Conclusion: In conclusion, there was significant relation between red blood cell and platelets indices in iron deficiency anemia. Furthermore, haemoglobin and packed cell volume are weekly correlated, platelet distribution width and mean platelet volume are moderately correlated and mean platelet volume and platelet large cell ratio are strongly correlated.

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Colletto, G. M. D. Dal, D. W. Fulker, O. C. de O. Barretto, and M. Kolya. "Genetic and Environmental Effects on Blood Cells." Acta geneticae medicae et gemellologiae: twin research 42, no. 3-4 (October 1993): 245–52. http://dx.doi.org/10.1017/s000156600000324x.

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AbstractIn a sample of 105 concordant sex MZ and DZ twin pairs, the following characteristics were measured: red cell count, haemoglobin concentration, package cell volume, mean cell volume, mean cell haemoglobin, mean cell haemoglobin concentration, reticulocytes, platelets, white cell count and the six types of leucocytes, lymphocytes, monocytes, band and segmented neutrophils, eosinophils and basophils. The statistical model employed in the univariate twin analysis allows for three sources of variation: genetic (h2), shared environmental (c2) and specific environmental influences (e2). A genetic component was significant for red cell count, haemoglobin and mean cell haemoglobin (0.64, 0.60 and 0.46 respectively), with heritable variation suggested for package cell volume, mean cell volume, mean cell haemoglobin, lymphocytes and monocytes. Shared environmental variation was only present for neutrophils.

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Noorafshan, Ali. "Volume-weighted mean volume of the submandibular gland acini in male and female diabetic rats." Micron 37, no. 7 (October 2006): 613–16. http://dx.doi.org/10.1016/j.micron.2006.03.001.

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Bock, Troels, Kirsten Svenstrup, Bente Pakkenberg, and Karsten Buschard. "Unbiased estimation of total β-cell number and mean β-cell volume in rodent pancreas." APMIS 107, no. 7-12 (March 1999): 791–99. http://dx.doi.org/10.1111/j.1699-0463.1999.tb01474.x.

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Bierman, Kaitlin, Harold M. Maurer, and James Harper. "Mean Corpuscular Volume (MCV) and Mean Corpuscular Hemoglobin (MCH) Determinations in Newborns with Beta Thalassemia." Blood 132, Supplement 1 (November 29, 2018): 4904. http://dx.doi.org/10.1182/blood-2018-99-110991.

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Abstract Newborns with alpha thalassemia trait have microcytic red blood cells (RBCs) used as a diagnostic screening tool at birth. Infants with beta thalassemia present with microcytosis sometime during the first year of life; however, whether microcytosis is present in newborns is unknown. In this study, we determined the MCV and MCH values in newborn infants, who have beta0 thalassemia major, intermedia, and minor by performing a retrospective study, with IRB approval. 189 eligible patients seen by the hematology/oncology group of 10 physicians at Children's Hospital Medical Center (CHMC) and UNMC were reviewed. Patients were identified by International Classification Codes-10 (56.1, 56.3, 57.3, 57.4). Of the 189 eligible patients with beta thalassemia major, intermedia, minor, and sickle cell trait (used as controls), there were 28 evaluable and 161 non-evaluable patients. The non-evaluable patients had either the wrong diagnosis (coexisting alpha thalassemia trait) (68) or no laboratory data within the newborn period or up to 6 months of age (93). A second control group used were normal complete blood count (CBC) values by age from the Pathology Laboratory at CHMC. Of the 28 evaluable infants, 5 had beta0 thalassemia major, 2 had sickle-beta+ thalassemia (regarded as intermedia for this study), 7 had beta thalassemia minor, and 14 had sickle cell trait. The diagnosis in each of the 28 infants was confirmed by newborn screening for a hemoglobinopathy and hemoglobin electrophoresis sometime after birth. The MCV, MCH, mean corpuscular hemoglobin concentration (MCHC), hemoglobin (hgb), hematocrit (hct), and red blood cell count (RBC) were taken on evaluable patients within the newborn period through 6 months of age and de-identified using the Safe Harbor Method. MCV and MCH were found to be reduced in newborns with beta0 thalassemia and sickle-beta+ thalassemia. However, infants with beta thalassemia minor had normal MCV and MCH values. The MCHC, RBC, hgb, and hct were comparable to controls and within normal limits. By 3-4 months of age, in the infants with beta thalassemia major or intermedia, the MCV and MCH fell to clinically characteristic levels when compared to controls, and plateaued through 6 months of age. MCV and MCH values for infants with beta thalassemia minor, 0-6 months of age, were incomplete to be able to draw a similar conclusion. The proposed mechanism for microcytosis in major and intermedia is an imbalance between alpha and beta globin chain synthesis, which is not apparent in newborns with minor. In conclusion, the MCV and MCH can be used to screen for beta0 thalassemia major and intermedia in newborns. Although the data are discriminating despite the small numbers, a prospective study should confirm these findings. Figure. Figure. Disclosures No relevant conflicts of interest to declare.

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Francis, J. "Iron deficiency anaemia in chronic inflammatory rheumatic diseases: low mean cell haemoglobin is a better marker than low mean cell volume." Annals of the Rheumatic Diseases 64, no. 5 (May 1, 2005): 787–88. http://dx.doi.org/10.1136/ard.2004.025890.

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Zheng, Yu-Zhen. "Prognostic value of preoperative mean corpuscular volume in esophageal squamous cell carcinoma." World Journal of Gastroenterology 19, no. 18 (2013): 2811. http://dx.doi.org/10.3748/wjg.v19.i18.2811.

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Nicolaides, K. H., R. J. M. Snijders, J. G. Thorpe-Beeston, M. C. Van den Hof, C. M. Gosden, and A. J. Bellingham. "Mean Red Cell Volume in Normal, Anemic, Small, Trisomic and Triploid Fetuses." Fetal Diagnosis and Therapy 4, no. 1 (1989): 1–13. http://dx.doi.org/10.1159/000263384.

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Norris, Olga C., and Thomas Schermerhorn. "The mean cell volume difference (dMCV) reflects serum hypertonicity in diabetic dogs." PLOS ONE 14, no. 7 (July 23, 2019): e0219864. http://dx.doi.org/10.1371/journal.pone.0219864.

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Alatas, Necat, Imran San, Mustafa Cengiz, Ismail Iynen, Ahmet Yetkin, Baki Korkmaz, and Murat Kar. "A mean red blood cell volume loss in tonsillectomy, adenoidectomy and adenotonsillectomy." International Journal of Pediatric Otorhinolaryngology 70, no. 5 (May 2006): 835–41. http://dx.doi.org/10.1016/j.ijporl.2005.09.011.

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Balta, Şevket. "Red cell distribution width and mean platelet volume in carbon monoxide poisoning." American Journal of Emergency Medicine 37, no. 6 (June 2019): 1196–97. http://dx.doi.org/10.1016/j.ajem.2018.10.034.

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