RBC Histogram as supplementary diagnostic tool with peripheral smear examination in evaluating anemias

Rao, Byna Syam Sundar; Santhi, Vissa; Rao, Nandam Mohan; Grandhi, Bhavana; Reddy, Vijaya Lakshmi Murra; Siresala, Praveena

doi:10.21276/apalm.1468

Cited by 13 publications

(13 citation statements)

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“…In present study of 1500 cases, maximum numbers of cases are having Microcytic anemia (70%) followed by normocytic (18%), Dimorphic (8%) and Macrocytic (4%). Other studies like sandhya et al [5] Chavda J et al [6] & Byna Syam Sundara Rao et al [8] were also found similar findings regarding distribution of anemia cases. Our study of RBC histogram showed normal curve (18%), left shift (29%), right shift (6%) Broad base (40%), short peak (2%) and bimodal (5%) and these findings regarding to RBC histogram were also correlated with other studies like sandhya et al [5] Chavda J et al [6] & Rao BSS et al [8] (Table no.…”

Section: Discussionsupporting

confidence: 68%

“…Shift in one direction or another can be of diagnostic importance and in association with other CBC parameters such as RBC distribution width (RDW) and RBC indices (MCV, MCH, MCHC) it has been found abnormal in various hematological conditions [2][3][4] . A lot of studies [5][6][7][8][9] have been done to assess the efficacy and significance of red blood cell parameters in different hematological conditions. We undertake this study to study RBC's histograms in various anemias and to compare our findings with available literature.…”

Section: Introductionmentioning

confidence: 99%

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RBC histogram: Utility in diagnosis of various anemia

Shrivastava¹,

Shah²,

Shah³

2019

Int. J. Clin. Diagn. Pathol.

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Introduction: Anemia is a common health problem in overall world especially in developing countries. Early and accurate diagnosis is needed to decide correct line of treatment. Material & Methods: The study was conducted in Hematology laboratory of medical college hospital for a period of 12 month during January 2018 to December 2018. Total 1500 anemic patients of 10-70 year of age were included in the study. Interpretation of RBC Histogram and peripheral smear examination was done in each case. Results: Out of total 1500 anemic cases, microcytic anemia is most common cause followed by normocytic, Dimorphic and macrocytic anemia. Female patients are more than male patients and most common involved age group is 31-40 years followed by 21-30 years. Discussion: Interpretation of RBC histograms is useful method for initial diagnosis of anemia and can be used for screening purpose to screen large population.

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Section: Discussionsupporting

confidence: 68%

Section: Introductionmentioning

confidence: 99%

RBC histogram: Utility in diagnosis of various anemia

Shrivastava¹,

Shah²,

Shah³

2019

Int. J. Clin. Diagn. Pathol.

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“…In the present study, the most affected age group was 20-30 years followed by 30-40 years which was comparable to the results of similar studies done by Korgaonker and Shashidhar 8 Kumar et al, 9 Cook et al 10 Our study of RBC histogram showed normal curve (7%), left shift (27%), right shift (14%), broad base (38%), and bimodal (14%) and these findings regarding to RBC histogram were also correlated with other studies such as Sandhya and Muhasin, 11 Chavda et al, 2 Rao et al, 12 and Shrivastav et al 13 The most common type of anemia observed in our study was dimorphic anemia (combined nutritional deficiency) followed by microcytic hypochromic anemia indicative that the most common anemia observed in Vindhya region population is combined nutritional deficiency which is in contrast with studies by Sandhya and Muhasin, 11 Chavda et al; 2 and Rao et al, 12 which shows microcytic hypochromic anemia as the most common distribution pattern.…”

Section: Agesupporting

confidence: 91%

Correlation of automated cell counter RBC histograms and peripheral smear in anemia typing

Meena¹,

CS²,

Gupta³

et al. 2023

Asian J Med Sci

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Background: Red blood cell (RBC) indices and histogram obtained from automated hematology gives an idea about the morphological changes in anemia and therefore forms the fundamental process for diagnosis of anemia. Along with the peripheral smear, they can be used for anemia typing and to interpret the cause of anemia. Aims and Objectives: (1) Interpretation of histograms in normal persons and patients with different types of anemia. (2) Anemia typing based on RBC histograms complemented with Peripheral smear examination. Materials and Methods: The present prospective study is conducted in Haematology section of Department of Pathology, Shyam Shah Medical College and Sanjay Gandhi Medical Hospital Rewa, Madhya Pradesh. A total of 1000 patients blood sample is collected for complete blood count and anemia typing irrespective of age and gender and examined over a period of 1 year from August 2021 to July 2022. The patient’s blood sample is collected in EDTA vacutainer and analyzed on the basis of histogram obtained and peripheral smear slide prepared. Results: In the present study, we noted that the predominant age group affected was 20–30 years. Peripheral smear finding shows normocytic normochromic anemia was seen in 6% cases (60/1000), microcytic hypochromic anemia seen in 24.2% cases (242/1000), macrocytic anemia seen in 14% cases (140/1000), dimorphic anemia seen in 50.2% cases (502/1000), and hemolytic anemia seen in 5.6% cases (56/1000). This peripheral smear finding shows well correlation with findings of histogram pattern and RBC indices, where normocytic normochromic seen in 6.4% of cases (64/1000), microcytic hypochromic anemia seen in 24.4% of cases (244/1000), macrocytic anemia seen in 13.8% of cases (138/1000), dimorphic anemia seen in 49.5% of cases (495/1000), and hemolytic anemia seen in 5.9% of cases (59/1000). The most common anemia is dimorphic anemia (combined nutritional deficiency) in 49.5% cases followed by microcytic hypochromic anemia in 24.4% of cases based on histogram findings along with RBC indices. Conclusion: Histogram guides a technologist about the cases that need actual detailed peripheral smear examination by experts. Our study shows a well correlation in findings of automated hematology analyzer with the microscopic examination. Histogram alone could be used as screening method and when combined with peripheral blood smear findings, they act as useful supplement and by correlating findings of both methods, we could diagnose majority of anemia.

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“…The rBC count does not affect by WBCs count is increased by beyond 50000 cells / cumm. [10][11][12][13] In the present study of 500 cases, the maximum number of instances are having Microcytic anemia followed by normocytic, Dimorphic and Macrocytic. Other studies like sandhya al 14 , BynaSyamSundara rao et al 15 , Chavda J et al 16 were also found similar findings of anemia cases regarding Distribution.…”

Section: Discussionmentioning

confidence: 97%

Correlation of Automated cell counters RBC Histogram and Peripheral smear in Anemias

Shabahat Hussain,

Mohammad Frayez

2022

IJPHRD

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Background and Aim: The rBC histogram visualizes particle size distribution that plays a critical role in the initial screening and detection method for haematological disorders in current clinical settings. This present study was designed to determine the relationship between Abbott cell dyn ruby-5 part analyzer automated haematology analyzer histograms and peripheral smear using the blood samples. Material and Methods:A total of 500 samples sent for CBC and PS would be used for the present study for the duration of 5 months. The CBC samples received would be analyzed in the ABOTT cell dyn ruby instrument, and a peripheral smear would be made from the same sample, using Leishman stain.Results: Among all, 16% histograms were normal,31% had a left-shifted curve,40% showed broad-based curve, 03% showed short peak, and Bimodal peaked histogram was demonstrated by 06% of total cases. In the present study, cases of dimorphic anemia showed a normal range of MCV, MCH and MCHC. At the same time, rDW is increased due to the high degree of anisocytosis and poikilocytosis, which was observed in the PBS. Cases of Macrocytic anemia show an increase in MCV, MCH and rDW with normal MCHC. Conclusion:Histogram plays an additional role with peripheral smear for diagnosing rBCs disorders. Haematology analyzers were very useful and reliable for evaluation of abnormal peripheral smears. Histogram was correlated with almost all peripherial smear interpretation in anemia cases.

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RBC Histogram as supplementary diagnostic tool with peripheral smear examination in evaluating anemias

Cited by 13 publications

References 4 publications

RBC histogram: Utility in diagnosis of various anemia

RBC histogram: Utility in diagnosis of various anemia

Correlation of automated cell counter RBC histograms and peripheral smear in anemia typing

Correlation of Automated cell counters RBC Histogram and Peripheral smear in Anemias

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