Title

Comparative analysis of peripheral smear and automated counter findings in anemia among pregnant women: A retrospective study

Authors

Vivek Kumar Chouksey¹, Abhishek Yadav² & Mukesh Kumar Jatav^3,*

Affiliation

¹Department of Forensic Medicine and Toxicology, Atal Bihari Vajpayee Government Medical College, Vidisha, Madhya Pradesh, India; ²Department of Community Medicine, Atal Bihari Vajpayee Medical College, Vidisha, Madhya Pradesh, India; ³Department of Pathology, Atal Bihari Vajpayee Government Medical College, Vidisha, Madhya Pradesh, India; *Corresponding author

Email

Vivek Kumar Chouksey - E-mail: vivekchoukseymd@gmail.com; Phone: +91 9891315910
Abhishek Yadav - E-mail: sanidhyarockon@gmail.com; Phone: +91 9399875179
Mukesh Kumar Jatav - E-mail: mukeshjatav.jnv@gmail.com; Phone: +91 9584094293

Article Type

Research Article

Date

Received August 1, 2026; Revised August 31, 2026; Accepted August 31, 2026, Published August 31, 2026

Abstract

Pregnancy anemia poses serious maternal-fetal risks in developing nations, yet automated hematology analyzers versus peripheral smear accuracy for morphological subtyping remains insufficiently compared in prenatal care. Therefore, it is of interest to analyze the 120 antenatal cases, correlating hemoglobin levels and red cell indices from automated counters with peripheral smear morphological findings for anemia classification accuracy. Automated analyzers showed high correlation with smear results for basic parameters but showed discrepancies in morphological subtyping requiring microscopic confirmation. Peripheral smear examination proved essential for precise anemia subtype identification, complementing automated data for optimal clinical decision-making. Thus, data shows the combined automated-peripheral smear protocols are essential for accurate prenatal anemia diagnosis and targeted maternal-fetal management.

Keywords

Anemia in pregnancy, peripheral smear, automated hematology analyzer, red cell indices, morphological classification, diagnostic accuracy

Citation

Chouksey et al. Bioinformation 22(8): 4981-4985 (2026)

Edited by

Vini Mehta

ISSN

0973-2063

Publisher

Biomedical Informatics

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.