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Case Report
ARTICLE IN PRESS
doi:
10.25259/JLP_146_2025

Pseudothrombocytosis in a patient with severe burn injuries: A case report highlighting the pitfalls of automated platelet counting

Hematology Laboratory, University Hospital of Iraklion, Voutes, Iraklion, Greece.
Department of Hematology, School of Medicine, University of Crete, Voutes, Iraklion, Greece.

*Corresponding author: Nikolaos Androulakis, Hematology Laboratory, University Hospital of Iraklion, Voutes, Iraklion, Greece. nikandgr@gmail.com

Licence
This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-Share Alike 4.0 License, which allows others to remix, transform, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.

How to cite this article: Androulakis N, Nioti E, Dilintas A, Kalpadakis C. Pseudothrombocytosis in a patient with severe burn injuries: A case report highlighting the pitfalls of automated platelet counting. J Lab Physicians. doi: 10.25259/JLP_146_2025

Abstract

We report a case of pseudothrombocytosis in a 39-year-old male with severe burn injuries involving 45% of the total body surface area. Initial automated hematology analyzer results indicated extreme thrombocytosis (1630 × 103/μL); however, manual smear review and platelet (PLT) counts revealed true thrombocytopenia. Peripheral smear examination showed abundant red blood cell (RBC) fragments and spherocyte aggregates, which were misclassified as PLTs by an impedance-based analyzer. This case highlights the limitations of automated PLT counting in the context of burn-induced hemolysis and underscores the need for manual verification to prevent diagnostic errors. We propose a diagnostic algorithm that integrates smear morphology thresholds to enhance the recognition of pseudothrombocytosis in cases of thermal injury.

Keywords

Burn
Hemolysis
Peripheral blood smear
Platelet count
Red blood cell fragmentation

INTRODUCTION

Pseudothrombocytosis, a spurious elevation in platelet (PLT) counts due to interference from red blood cell (RBC) fragments, is a well-documented artifact of automated hematology analyzers in hemolytic conditions, including microangiopathic hemolytic anemia.[1,2] However, its association with severe burn injuries remains underreported, despite the high prevalence of burn-induced hemolysis and RBC fragmentation.[3]

Severe burns trigger oxidative RBC injury, generating microcytic fragments and spherocytes that may be misclassified as PLTs by impedance-based analyzers (e.g., Coulter DxH series).[4] This error risks masking true thrombocytopenia, delaying interventions, or prompting unnecessary testing.[5] While recent guidelines emphasize smear review for schistocyte-rich samples,[6] burn-specific thresholds for fragment-induced pseudothrombocytosis are few.

This case underscores the critical role of manual verification in burn patients with discordant PLT counts and proposes a diagnostic algorithm to mitigate analyzer pitfalls.

CASE REPORT

Investigations

A 39-year-old Caucasian male was admitted to the emergency department with severe burn injuries after a workplace accident. The patient had second- and third-degree burns over approximately 45% of his total body surface area, comprising injuries to his chest, abdomen, and upper and lower extremities. On admission, the patient was hemodynamically stable with severe pain. Initial management included intravenous (IV) fluid resuscitation, aggressive analgesia, and wound care.

Laboratory evaluation revealed marked hemoconcentration (hemoglobin 18.3 g/dL, hematocrit 54.1%), leukocytosis (20.8 × 103/μL), and apparent thrombocytosis (PLT count 1630 × 103/μL). The peripheral smear examination identified spherocytes, abundant RBC fragments (16-18 per oil immersion field [OIF]), and rare schistocytes [Figure 1, Smear A], prompting suspicion of pseudothrombocytosis due to hemolysis.

Peripheral smears in a burn patient showing red blood cell fragments (red arrows), platelets (blue arrows), and spherocyte aggregates (green arrows) before (Smear A) and after fluid resuscitation (Smear B); May-Grünwald Giemsa stain, ×1000 magnification, image acquired through CellaVision.
Figure 1:
Peripheral smears in a burn patient showing red blood cell fragments (red arrows), platelets (blue arrows), and spherocyte aggregates (green arrows) before (Smear A) and after fluid resuscitation (Smear B); May-Grünwald Giemsa stain, ×1000 magnification, image acquired through CellaVision.

Laboratory methods

Manual PLT counts were performed using the method recommended by the International Council for Standardization in Haematology (ICSH),[7] with two biopathologist hematologists enumerating PLTs in 10 OIFs on May-Grünwald Giemsa-stained smears. Discrepancies (>10%) triggered repeat counts by a third reviewer.

Diagnosis

A manual PLT count showed borderline normal PLT counts of 150 × 103/μL on the initial blood smear. After fluid resuscitation, the hemoglobin decreased to 11.8 g/dL, while hematocrit decreased to 34.9%, presumably due to hemodilution. The PLT count indicated a significant reduction from 1630 × 103/μL to 700 × 103/μL, likely due to dilution and consumption. The white blood cell count, on the other hand, remained high at 20.9 × 103/μL, a reflection of the ongoing inflammatory response.[1]

The peripheral blood smear after IV fluid administration revealed dense aggregates of spherocytes, microcytic RBC fragments, and rare schistocytes [Figure 1, Smear B]. A repeat manual count showed that this patient’s PLT count was low at 60 × 103/μL. The diagnostic challenge stemmed from RBC fragment interference on the Coulter DxH analyzer [Table 1].[5]

Table 1: Comparative smear findings and analyzer discrepancy.
Feature Smear A (Admission) Smear B (Post-Resuscitation)
Platelets (OIF) 5-6 2-3
RBC fragments (OIF) 16-18 8-10
Spherocyte aggregates 2-3 per field 8-12 per field (larger, matrix-like clusters)
Manual count 150×103/μL 60×103/μL
Analyzer count 1630×103/μL 700×103/μL
Overestimation factor ×10.9 ×11.7
Discrepancy cause RBC fragments Same; spherocytes increased, but fragments dominated

OIF: Oil immersion field, RBC: Red blood cell

Treatment and outcome

Supportive care continued without initiating antiplatelet therapy or bone marrow biopsy. The patient deteriorated and died despite transfer to a burn unit. Follow-up tests supported the diagnosis of pseudothrombocytosis.

DISCUSSION

In this case, a 39-year-old male with 45% total body surface area burns presented with an apparent thrombocytosis of 1630 × 103/μL, as measured by the Coulter DxH 850 analyzer. However, peripheral smear evaluation and manual PLT counts revealed true thrombocytopenia (150 × 103/μL at admission; 60 × 103/μL post-resuscitation), confirming that the overestimation was due to RBC fragment interference.[5]

This diagnostic discrepancy underscores the limitations of impedance-based technologies in fragment-rich samples. The Coulter DxH 850, which utilizes both platelet impedance count (impedance-based platelet counting method) (PLT-I) and Volume-Conductivity-Scatter (VCS) optical analysis, significantly overcounted PLTs due to misclassification of RBC fragments as PLTs.[3,5] On the contrary, fluorescence-based platforms such as Sysmex XN-series Platelet Fluorescence count (fluorescence-based platelet counting method) (PLT-F) may offer superior accuracy in burn-related hemolysis. PLT-F utilizes PLT-specific RNA staining, reducing interference from fragments. Although spherocyte aggregates increased post-resuscitation, RBC fragments remained the primary cause of analyzer error.[6]

RBC fragments were the dominant cause of pseudothrombocytosis in this case, and the analyzer’s overestimation closely correlated with fragment density.[5] Manual smear review played a critical role in confirming true thrombocytopenia and preventing inappropriate clinical decisions.[7]

Burn-induced hemolysis leads to the generation of both RBC fragments and spherocytes. The latter results from membrane loss and oxidative injury, creating rigid, spherical cells prone to aggregation.[8] Although not directly misclassified as PLTs, large spherocyte clusters may mimic PLT clumps or inclusions on smear, potentially misleading interpretation. Therefore, recognizing these distinct morphologies is crucial for accurate assessment.

Pseudothrombocytosis in burn patients should be suspected when the automated PLT count exceeds 1000 × 103/μL and there are at least five RBC fragments per OIF, or when spherocyte aggregates are greater than five per field-findings that reflect burn-induced hemolysis and oxidative RBC injury[1,5,8] [Box 1]. These criteria are particularly relevant in the setting of extensive thermal injury, where analyzer overestimation of PLTs may obscure true thrombocytopenia.

Confirmation of pseudothrombocytosis requires a manual PLT count performed using the ICSH reference method[7] or fluorescence-based PLT enumeration (PLT-F) if available, which uses RNA-specific staining to reduce interference from fragments.[3] This diagnostic approach is consistent with international smear review protocols and accommodates burn-specific thresholds, where fragment densities greater than five per OIF have been shown to strongly correlate with spurious PLT elevations.[1,5]

Analyzer limitations

Impedance-based PLT counting methods (PLT-I) are highly vulnerable to RBC fragment misclassification, especially when fragment densities exceed five per OIF.[5] Comparative studies have shown that these discrepancies persist even when optical technologies are used in conjunction with impedance-based systems.[9] VCS optical analysis provides some correction but remains limited in samples with a high burden of RBC fragments, as is often the case in severe burn injuries.[3] “In contrast, fluorescence-based methods (PLT-F) offer improved accuracy in fragment-rich specimens and are recommended in hemolytic or burn-related cases.[3,10]

Clinical implications

This case illustrates how pseudothrombocytosis in burn patients can mask true thrombocytopenia, potentially leading to delayed or missed recognition of bleeding risk, inappropriate withholding of PLT transfusion, and unnecessary diagnostic procedures (e.g., bone marrow biopsy). Timely manual smear review, alongside advanced techniques like PLT-F, where available, remains critical to ensuring diagnostic accuracy.[7] Laboratories must implement strict protocols to flag analyzer results that conflict with the clinical context or reveal fragmentation on smear.

CONCLUSIONS

This case underscores the essential role of clinical judgment and manual verification when interpreting automated laboratory results. Although pseudothrombocytosis is a laboratory artifact, its misinterpretation can lead to serious clinical consequences. In patients with severe burns or other hemolytic conditions, a high index of suspicion for pseudothrombocytosis must be maintained. Manual PLT counts should be performed whenever automated results appear inconsistent with the clinical scenario. This approach ensures diagnostic accuracy and supports appropriate patient management.

Author contribution:

NA: Conceptualization and drafting; EN, AD: Data collection and laboratory analysis; CK: Critical review and supervision. All authors checked and approved the final manuscript.

Ethical approval:

Institutional Review Board approval is not required.

Declaration of patient consent:

The authors certify that they have obtained all appropriate patient consent.

Conflicts of interest:

There are no conflicts of interest.

Use of artificial intelligence (AI)-assisted technology for manuscript preparation:

AI was used for grammar and style editing, as well as guidance on figure preparation. All scientific content, interpretation, and final approval were done by the authors.

Financial support and sponsorship: Nil.

References

  1. , , , , , . Burn injury. Nat Rev Dis Primers. 2020;6:11.
    [CrossRef] [PubMed] [Google Scholar]
  2. , , , . Spurious counts and spurious results on haematology analysers: A review. Part I: Platelets. Int J Lab Hematol. 2007;29:4-20.
    [CrossRef] [PubMed] [Google Scholar]
  3. , , , , , , et al. Platelet counting: Ugly traps and good advice proposals from the French-speaking cellular hematology group (GFHC) J Clin Med. 2020;9:808.
    [CrossRef] [PubMed] [Google Scholar]
  4. , . Syndromes of thrombotic microangiopathy. N Engl J Med. 2014;371:654-66.
    [CrossRef] [PubMed] [Google Scholar]
  5. , , , . Purpose and criteria for blood smear scan, blood smear examination, and blood smear review. Ann Lab Med. 2013;33:1-7.
    [CrossRef] [PubMed] [Google Scholar]
  6. , . Pitfalls in obtaining and interpreting bone marrow aspirates: To err is human. J Clin Pathol. 2011;64:373-9.
    [CrossRef] [PubMed] [Google Scholar]
  7. . Platelet counting by the RBC/platelet ratio method. A reference method. Am J Clin Pathol. 2001;115:460-4.
    [CrossRef] [PubMed] [Google Scholar]
  8. , , . Interference in hematology testing: Unresolved issues and recommendations. Semin Thromb Hemost. 2020;46:83-93.
    [Google Scholar]
  9. , , , , , , et al. Performance evaluation of the Abbott Alinity Hq hematology analyzer. Int J Lab Hematol. 2019;41:448-55.
    [CrossRef] [PubMed] [Google Scholar]
  10. , , , . Performance evaluation of the sysmex XT-2000i automated hematology analyzer. Lab Hematol. 2003;9:29-37.
    [Google Scholar]
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