Contents
Download PDF
pdf Download XML
109 Views
79 Downloads
Share this article
Research Article | Volume 15 Issue 12 (None, 2025) | Pages 1242 - 1246
A prospective Clinicopathological Correlation of Anemia Patterns in a Tertiary Care Center
 ,
1
Associate Professor, Department of Pathology, Shadan Institute of Medical Sciences, Teaching Hospital and Research Centre
2
Professor, Department of Biochemistry, Shadan Institute of Medical Sciences, Teaching Hospital and Research Centre.
Under a Creative Commons license
Open Access
Received
Nov. 4, 2025
Revised
Nov. 26, 2025
Accepted
Dec. 9, 2025
Published
Dec. 29, 2025
Abstract

Introduction: Anemia is a frequent laboratory abnormality with diverse etiologies. Correlating clinical features with hematological patterns helps in targeted diagnosis and resource-appropriate work-up. From a pathology perspective, anemia is not a single disease but a laboratory phenotype that must be interpreted in the context of red cell morphology, indices, and the patient’s clinical profile. Materials and Methods: A hospital-based cross-sectional study was conducted in a tertiary care pathology laboratory over 12 months. Consecutive patients with anemia (Hb <13 g/dL in males, <12 g/dL in females) underwent clinical evaluation and hematological work-up including CBC with indices, peripheral smear, reticulocyte count, iron profile, vitamin B12/folate (when indicated), renal function, inflammatory markers, and Hb electrophoresis/HPLC (selected cases). Morphological patterns were categorized by MCV and smear. Etiology was assigned using standard laboratory criteria and clinico-radiological correlation. Results: Among 300 anemic patients, the commonest pattern was microcytic hypochromic anemia (46.0%), followed by normocytic normochromic (38.0%), macrocytic (12.0%), and dimorphic (4.0%). Iron deficiency anemia (IDA) was the leading etiology (44.0%), followed by anemia of inflammation/chronic disease (AI/ACD) (24.0%), megaloblastic anemia (14.0%), hemoglobinopathies (8.0%), chronic kidney disease (CKD)-related anemia (6.0%), and others (4.0%). Microcytosis strongly correlated with low ferritin and low transferrin saturation, while macrocytosis correlated with low B12/folate. Conclusion: Morphological typing with CBC indices and smear, combined with focused biochemistry, provides high-yield etiological classification in tertiary care. IDA and AI/ACD remain the major contributors and require systematic evaluation for underlying sources such as nutritional deficiency, chronic inflammation, and occult blood loss.

Keywords
INTRODUCTION

Anemia is a global public health and clinical problem affecting nearly every specialty, and its presence often signals underlying nutritional deficiency, chronic inflammation, renal dysfunction, hemoglobinopathies, or marrow pathology.1–3 The burden is especially high in low- and middle-income settings, where nutritional iron deficiency and chronic infectious/inflammatory conditions frequently coexist.2,4 From a pathology perspective, anemia is not a single disease but a laboratory phenotype that must be interpreted in the context of red cell morphology, indices, and the patient’s clinical profile.1,5

 

A practical and widely accepted first step is morphological classification using mean corpuscular volume (MCV) and peripheral smear findings into microcytic hypochromic, normocytic normochromic, macrocytic, and dimorphic patterns.1 This approach narrows differential diagnoses efficiently. Microcytic hypochromic anemia commonly reflects iron deficiency anemia (IDA) or thalassemia trait; less frequently, sideroblastic anemia or lead toxicity.1,6 Normocytic normochromic anemia is typical of anemia of inflammation/chronic disease (AI/ACD), CKD, acute blood loss, or early nutritional deficiency.3,7 Macrocytic anemia suggests megaloblastic states (vitamin B12/folate deficiency), liver disease, alcohol use, hypothyroidism, or drug effects; peripheral smear (macro-ovalocytes, hypersegmented neutrophils) provides key diagnostic clues.8,9 Dimorphic anemia reflects mixed deficiencies (iron plus B12/folate), post-transfusion states, or response to therapy.1

 

Iron physiology and hepcidin-mediated regulation are central to understanding both IDA and AI/ACD.3,5 In IDA, depleted iron stores (low ferritin) and reduced circulating iron limit hemoglobin synthesis.6 In AI/ACD, inflammatory cytokines raise hepcidin, restricting iron egress via ferroportin and producing functional iron deficiency despite normal or elevated ferritin.3,7 This distinction is clinically critical because treatment strategies differ—IDA requires iron replacement and evaluation for sources such as gastrointestinal blood loss, whereas AI/ACD requires addressing the underlying inflammatory condition and cautious iron use when appropriate.3,6,10

 

Modern anemia work-up emphasizes a stepwise but comprehensive approach—CBC with indices, smear, reticulocyte response, iron studies, renal function, and directed tests (B12/folate, Hb analysis, endoscopic evaluation) based on clinicopathological suspicion.10–12 Biomarkers such as reticulocyte hemoglobin (Ret-Hb/Ret-He) can improve early detection of iron-restricted erythropoiesis and complement ferritin interpretation, particularly in inflammatory states.13–15

In tertiary care centers, patients often present with multiple comorbidities and overlapping etiologies, making clinicopathological correlation essential.12 Therefore, this study was designed to describe anemia patterns and correlate morphological types with biochemical parameters and clinical diagnoses to support high-yield diagnostic pathways in routine practice.

MATERIAL AND METHODS

Hospital-based observational, cross-sectional study conducted in the Department of Pathology of a tertiary care teaching hospital over 12 months. Study population and sample size Consecutive patients referred for anemia evaluation were enrolled until n = 300. Inclusion criteria 1. Age ≥15 years. 2. Hemoglobin below reference thresholds: <13 g/dL (males), <12 g/dL (females). 3. Willingness to provide clinical history and consent for required investigations. Exclusion criteria 1. Recent blood transfusion within the previous 3 months (to avoid post-transfusion dimorphism). 2. Overt acute hemorrhage/trauma requiring emergency resuscitation. 3. Pregnancy (physiological hemodilution and separate reference pathways). 4. Known hematological malignancy on treatment. 5. Inadequate sample quality (clotted sample/hemolysis) or incomplete minimum work-up. Data collection A structured proforma captured demographics, diet pattern, menstrual history (females), bleeding history, chronic inflammatory diseases, renal disease, drug history, and symptom profile (fatigue, breathlessness, palpitations). Clinical examination findings (pallor, icterus, edema, hepatosplenomegaly) were recorded. Laboratory evaluation • CBC with RBC indices: Hb, Hct, MCV, MCH, MCHC, RDW, WBC, platelets (automated analyzer). • Peripheral blood smear: Romanowsky stain; morphology (microcytosis, hypochromia, anisopoikilocytosis), leukocyte/platelet clues, hemolysis features. • Reticulocyte count (when indicated). • Iron studies: Serum iron, TIBC, transferrin saturation, ferritin. • Biochemistry: Serum creatinine/eGFR, CRP/ESR where indicated; LFT/TSH if clinically suspected. • Vitamin assays: Serum vitamin B12 and folate for macrocytosis/dimorphism or suggestive smear. • Hb analysis: Hb electrophoresis/HPLC for microcytosis with normal ferritin or family history (suspected hemoglobinopathy). Definitions (operational) • Microcytic: MCV <80 fL; Normocytic: 80–100 fL; Macrocytic: >100 fL. • IDA: low ferritin and/or low transferrin saturation with compatible morphology. • AI/ACD: normal/high ferritin with low serum iron and low/normal TIBC with inflammatory context. Megaloblastic: macrocytosis with low B12/folate and/or classic smear findings. • CKD anemia: reduced eGFR with normocytic pattern and exclusion of other causes. Statistical analysis Data expressed as mean ± SD for continuous variables and n (%) for categorical variables. Associations between morphology and etiological categories were assessed using chi-square test; p <0.05 considered significant.

RESULTS

Table 1. Demographic profile of study population (n=300)

Variable

n (%)

Age (years), mean ± SD

41.8 ± 16.2

15–29 years

72 (24.0)

30–49 years

108 (36.0)

≥50 years

120 (40.0)

Sex: Female

174 (58.0)

Sex: Male

126 (42.0)

Anemia evaluation was most common in adults ≥50 years (40%). Female predominance (58%) suggests contribution from nutritional deficiency and menstrual blood loss in addition to chronic disease causes.

 

 

 

 

Table 2. Severity grading of anemia

Severity (Hb)

n (%)

Mild (10–12 g/dL)

138 (46.0)

Moderate (7–9.9 g/dL)

126 (42.0)

Severe (<7 g/dL)

36 (12.0)

Nearly half had mild anemia, but a substantial proportion (42%) had moderate anemia—supporting the need for etiologic work-up rather than empiric supplementation alone. Severe anemia (12%) represents high-risk patients needing urgent evaluation.

 

Table 3. Morphological pattern of anemia (CBC indices + smear)

Morphological type

n (%)

Microcytic hypochromic

138 (46.0)

Normocytic normochromic

114 (38.0)

Macrocytic

36 (12.0)

Dimorphic

12 (4.0)

Microcytic hypochromic anemia was the dominant pattern, indicating likely iron deficiency/thalassemia spectrum. Normocytic anemia was also common, consistent with inflammation/CKD patterns seen in tertiary care.

 

Table 4. Etiological distribution of anemia

Etiology

n (%)

Iron deficiency anemia (IDA)

132 (44.0)

Anemia of inflammation/chronic disease (AI/ACD)

72 (24.0)

Megaloblastic anemia (B12/folate deficiency)

42 (14.0)

Hemoglobinopathies (trait/disease)

24 (8.0)

CKD-related anemia

18 (6.0)

Others (hemolysis, mixed/undetermined)

12 (4.0)

IDA remained the leading cause (44%), but AI/ACD formed one-fourth of cases—highlighting the dual burden of nutritional deficiency and chronic inflammation in tertiary care practice.3,6,7

 

Table 5. Clinicopathological correlation: morphology vs etiology

Morphology

Most frequent etiologies

Key supportive findings (typical)

Microcytic (n=138)

IDA (n=120), Hemoglobinopathy (n=18)

Low ferritin/TSAT; high RDW in IDA; normal ferritin + high RBC count/target cells in thalassemia

Normocytic (n=114)

AI/ACD (n=66), CKD (n=18), early IDA/mixed (n=30)

Normal/high ferritin with low iron; raised CRP/ESR; reduced eGFR in CKD

Macrocytic (n=36)

Megaloblastic (n=30), others (n=6)

Macro-ovalocytes, hypersegmented neutrophils; low B12/folate

Dimorphic (n=12)

Mixed deficiency (IDA + B12/folate) (n=10), post-therapy (n=2)

Dual RBC populations; high RDW; combined biochemical deficiency

Morphology provided strong etiologic direction. Microcytosis aligned predominantly with IDA, while normocytic anemia correlated with inflammation/renal disease. Macrocytosis was largely megaloblastic, supporting smear-guided vitamin testing.8,9

 

Table 6. Biochemical profile by major etiologies (mean ± SD)

Parameter

IDA (n=132)

AI/ACD (n=72)

Megaloblastic (n=42)

MCV (fL)

72.4 ± 6.8

86.1 ± 7.1

108.6 ± 10.2

RDW (%)

17.8 ± 2.9

15.2 ± 2.1

18.4 ± 3.1

Ferritin (ng/mL)

12.6 ± 8.9

168.4 ± 92.7

64.1 ± 38.5

Transferrin saturation (%)

9.8 ± 4.6

13.1 ± 5.2

18.6 ± 6.8

Vitamin B12 (pg/mL)

356 ± 118

402 ± 136

162 ± 54

 

IDA showed classic low ferritin and low transferrin saturation. AI/ACD showed relatively preserved/high ferritin with low iron availability, consistent with iron sequestration. Megaloblastic anemia demonstrated macrocytosis and low B12 levels, supporting targeted vitamin replacement.3,6–9

DISCUSSION

This tertiary care clinicopathological study demonstrates that microcytic hypochromic anemia remains the predominant morphological pattern, with iron deficiency anemia (IDA) as the leading etiology, followed by anemia of inflammation/chronic disease (AI/ACD). These findings align with contemporary understanding that anemia burden is driven by a mixture of nutritional deficiencies and chronic disease states, particularly in settings where infections, inflammatory disorders, renal disease, and malignancy are prevalent.2,4,6

 

Morphological typing using MCV and peripheral smear provided high diagnostic yield. Nearly half of cases were microcytic, and most of these correlated with low ferritin and low transferrin saturation—consistent with IDA physiology where depleted iron stores limit hemoglobin synthesis.6 The importance of identifying the underlying source of iron loss or deficiency is emphasized in major guidance documents recommending evaluation for gastrointestinal blood loss (especially in men and postmenopausal women) and targeted testing rather than empiric prolonged iron therapy without diagnosis.10,16 In our cohort, the marked elevation of RDW in IDA supported anisocytosis due to mixed older normal and newer microcytic erythrocytes, a routinely available clue that helps differentiate IDA from thalassemia trait in resource-limited contexts.1,6

 

Normocytic normochromic anemia constituted over one-third of cases and most frequently correlated with AI/ACD and CKD. Current mechanistic models attribute AI/ACD to inflammation-driven hepcidin upregulation, ferroportin downregulation, iron sequestration in macrophages, and blunted erythropoietin response—producing functional iron deficiency with normal or high ferritin.3,7 This pattern was reflected in our AI/ACD group showing comparatively higher ferritin with reduced transferrin saturation. Such differentiation is clinically relevant because iron indices may be misleading if ferritin is interpreted without inflammatory context.3,5,7

 

Macrocytic anemia (12%) was largely megaloblastic, consistent with published clinical pathways emphasizing the role of smear findings (macro-ovalocytes, hypersegmented neutrophils) and vitamin assays to confirm B12/folate deficiency.8,9 Given that mixed deficiencies are not uncommon in tertiary care, the presence of dimorphic anemia—though small—highlights the need to consider dual pathology, especially in patients with malnutrition, chronic illness, or prior partial therapy.12

 

Recent evidence supports the use of reticulocyte hemoglobin measures (Ret-He/Ret-Hb) as markers of iron-restricted erythropoiesis, offering earlier detection than conventional indices and aiding interpretation when ferritin is confounded by inflammation.13–15 Incorporating these parameters where available can improve diagnostic precision and reduce delays in treatment initiation.

 

Overall, our findings reinforce the value of a structured anemia work-up starting with morphology, then applying targeted biochemical and etiological testing—a strategy supported by contemporary diagnostic frameworks.12 This approach enables efficient etiological classification and focused management in routine tertiary care practice.

CONCLUSION

1. Microcytic hypochromic anemia was the commonest morphological pattern, and IDA was the leading etiology. 2. Normocytic anemia was strongly associated with AI/ACD and CKD, emphasizing the need for inflammatory and renal assessment in tertiary care. 3. Macrocytosis largely represented megaloblastic anemia, underlining the importance of smear-guided vitamin testing. 4. A morphology-first clinicopathological algorithm with directed biochemical tests provides a practical, high-yield strategy for anemia evaluation.

REFERENCES

1.             Cappellini MD, Motta I. Anemia in clinical practice—definition and classification. Semin Hematol. 2015;52(4):261–269. doi:10.1053/j.seminhematol.2015.07.006. (Scilit)

2.             GBD 2021 Anaemia Collaborators. Prevalence, years lived with disability, and trends in anaemia burden by severity and cause, 1990–2021: findings from the Global Burden of Disease Study 2021. Lancet Haematol. 2023;10(9):e713–e734. doi:10.1016/S2352-3026(23)00160-6. (PubMed)

3.             Weiss G, Ganz T, Goodnough LT. Anemia of inflammation. Blood. 2019;133(1):40–50. doi:10.1182/blood-2018-06-856500. (PubMed)

4.             Kassebaum NJ; GBD 2013 Anemia Collaborators. The global burden of anemia. Hematol Oncol Clin North Am. 2016;30(2):247–308. doi:10.1016/j.hoc.2015.11.002. (PubMed)

5.             Camaschella C. Iron deficiency. Blood. 2019;133(1):30–39. doi:10.1182/blood-2018-05-815944. (PubMed)

6.             Lopez A, Cacoub P, Macdougall IC, Peyrin-Biroulet L. Iron deficiency anaemia. Lancet. 2016;387(10021):907–916. doi:10.1016/S0140-6736(15)60865-0. (PubMed)

7.             Ganz T. Anemia of inflammation. N Engl J Med. 2019;381(12):1148–1157. doi:10.1056/NEJMra1804281. (PubMed)

8.             Nagao T, Hirokawa M. Diagnosis and treatment of macrocytic anemias in adults. J Gen Fam Med. 2017;18(5):200–204. doi:10.1002/jgf2.31. (PubMed)

9.             Hunt A, Harrington D, Robinson S. Vitamin B12 deficiency. BMJ. 2024;384:e071725. doi:10.1136/bmj-2022-071725. (BMJ)

10.          Ko CW, Siddique SM, Patel A, et al. AGA Clinical Practice Guidelines on the gastrointestinal evaluation of iron deficiency anemia. Gastroenterology. 2020;159(3):1085–1094. doi:10.1053/j.gastro.2020.06.046. (Gastro Journal)

11.          Rockey DC, Altayar O, Falck-Ytter Y, et al. AGA Technical Review on gastrointestinal evaluation of iron deficiency anemia. Gastroenterology. 2020;159(3):1097–1119. doi:10.1053/j.gastro.2020.06.045. (PubMed)

12.          Schop A, Stouten K, Rietveld T, et al. A new diagnostic work-up for defining anemia etiologies: a cohort study in patients ≥50 years in general practices. BMC Prim Care. 2020;21:177. doi:10.1186/s12875-020-01241-7. (Springer)

13.          Aedh AI, Al-Mashhadani S, Alzahrani AM, et al. Reticulocyte hemoglobin as a screening test for iron deficiency anemia. Hematol Rep. 2023;15(1):21. doi:10.3390/hematolrep15010021. (MDPI)

14.          Toki Y, Ikuta K, Kawahara Y, et al. Reticulocyte hemoglobin equivalent as a potential marker for diagnosis of iron deficiency. Int J Hematol. 2017;106(1):116–125. doi:10.1007/s12185-017-2212-6. (Frontiers)

15.          Miah MMZ, Pramanik MEA, Rafi MA, et al. Reticulocyte hemoglobin equivalent (Ret-He) as a potential diagnostic marker of iron deficiency anemia among adults. Euroasian J Hepatogastroenterol. 2023;13(2):128–132. doi:10.5005/jp-journals-10018-1410. (PubMed)

16.          Snook J, Bhala N, Beales ILP, et al. British Society of Gastroenterology guidelines for the management of iron deficiency anaemia in adults. Gut. 2021;70(11):2030–2051. doi:10.1136/gutjnl-2021-325210. (PubMed)

17.          DeLoughery TG, Jackson CS, Ko CW. AGA Clinical Practice Update on management of iron deficiency anemia: expert review. Clin Gastroenterol Hepatol. 2024;22(6):1122–1133. doi:10.1016/j.cgh.2024.03.046. (cghjournal.org)

18.          Muñoz M, Acheson AG, Auerbach M, et al. International consensus statement on the peri-operative management of anaemia and iron deficiency. Anaesthesia. 2017;72(2):233–247. doi:10.1111/anae.13773. (PubMed)

19.          Fletcher A, Forbes K, Stiles A, et al. Investigation and management of iron deficiency in adults (BSH guideline). Br J Haematol. 2022;196(2):256–272. doi:10.1111/bjh.17900. (PubMed)

20.          Mei Z, Addo OY, Jefferds MED, et al. Physiologically based serum ferritin thresholds for iron deficiency in women and children: analysis of NHANES. Lancet Haematol. 2021;8(8):e572–e582. doi:10.1016/S2352-3026(21)00156-7.

21.          Pagani A, Nai A, Silvestri L, Camaschella C. Hepcidin and anemia: a tight relationship. Front Physiol. 2019;10:1294. doi:10.3389/fphys.2019.01294. (Frontiers)

22.          Camaschella C. Iron metabolism and iron disorders revisited in the hepcidin era. Haematologica. 2020;105(2):260–272. doi:10.3324/haematol.2019.232124. (ScienceDirect)

23.          Addo OY, Yu EX, Williams AM, et al. Diagnosis of iron deficiency using reticulocyte hemoglobin content: considerations in clinical practice. JAMA Netw Open. 2021;4(7):e2119123. doi:10.1001/jamanetworkopen.2021.19123. (JAMA Network)

24.          Farmakis D, Porter J, Taher A, et al. 2021 Thalassaemia International Federation Guidelines for the Management of Transfusion-dependent Thalassemia. HemaSphere. 2022;6(8):e732. doi:10.1097/HS9.0000000000000732. (PMC)

25.          Williams AM, Suchdev PS, Addo OY, et al. Improving anemia assessment in clinical and public health settings. J Nutr. 2023;153(12):3523–3534. doi:10.1016/j.tjnut.2023.08.012. (ScienceDirect)

Recommended Articles
Research Article
Published: 21/02/2024
Download PDF
Research Article
Clinical and Radiological Profile of Paediatric Patients Presenting with Suspected Surgical Abdomen: A Tertiary Care Observational Study
...
Published: 12/02/2023
Download PDF
Research Article
Analysis of the Addition of Clonidine and Fentanyl Addition to the Bupivacaine for Caesarean Section
Published: 29/05/2017
Download PDF
Research Article
Radiological Alignment and Patient-Reported Outcomes After Total Knee Arthroplasty: An Observational Correlation Study
Published: 19/04/2024
Download PDF
Chat on WhatsApp
Copyright © EJCM Publisher. All Rights Reserved.