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June 20, 2026Journal of Family Medicine and Primary CareOpen Access

A diagnostic approach incorporating a predictive model based on simple parameters for differentiating dimorphic anemia from nutritional macrocytic or microcytic anemia

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Authors

栾栾爱玲Shanghai Jinyuan Senior High SchoolYZYing ZhuXinjiang Production and Construction CorpsCLChengxin LuanXinjiang Production and Construction Corps

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Overview

Retrospective analysis reveals a predictive model for diagnosing dimorphic anemia, suggesting effective anemia differentiation methods.

Key Points

  • The aim is to develop a predictive model to differentiate dimorphic anemia from other types of nutritional anemia using simple parameters.
  • Retrospective analysis of patient data diagnosed with iron deficiency anemia, megaloblastic anemia, and dimorphic anemia.
  • Comparison of complete blood count (CBC) parameters and patient characteristics between different anemia types.
  • Logistic regression analysis to identify independent predictors for dimorphic anemia.
  • Dimorphic anemia predominantly exhibited microcytosis (142 patients) compared to 288 iron deficiency anemia and 60 megaloblastic anemia patients.
  • Mean corpuscular volume (MCV) effectively differentiates dimorphic anemia from megaloblastic anemia but not from iron deficiency anemia.
  • A predictive scoring system was created, highlighting sex, RBC, and WBC counts as key independent predictors.

Cite This Study

栾爱玲 et al. (2026) studied this question.

synapsesocial.com/papers/6a362f11db0793dc1a536910https://doi.org/10.4103/jfmpc.jfmpc_308_26
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