ArticleUlusal travma ve acil cerrahi dergisi = Turkish journal of trauma & emergency surgery : TJTES2022
The role of hematological parameters in distinguishing acute appendicitis from lymphoid hyperplasia.
Article in Ulusal travma ve acil cerrahi dergisi = Turkish journal of trauma & emergency surgery : TJTES, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 5 citations in OpenAlex.
- Reactive lymphoid hyperplasia of the appendix in children: a descriptive analysis of accompanying neural and stromal features.Frontiers in pediatrics · 2026Article
- Diagnostic Accuracy of a Machine Learning-Derived Appendicitis Score in Children: A Multicenter Validation Study.Children (Basel, Switzerland) · 2025Article
- Reactive lymphoid hyperplasia mimicking acute appendicitis in children: a retrospective analysis of 259 cases.BMC pediatrics · 2025Article
- Correlation of histological diagnosis and laboratory findings in distinguishing acute appendicitis and lymphoid hyperplasia.Annals of surgical treatment and research · 2022Article
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7 authors at 1 institution in 1 country.
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Abstract
backgroundOne of the most misdiagnosed appendicular pathologies is lymphoid hyperplasia (LH) that can be managed con-servatively when identified early and is self-limiting. The aim of this retrospective study was to compare acute appendicitis (AA) with LH in terms of hematological parameters to determine whether there is a hematological predictor to distinguish the two diseases.
methodsComplete blood cell counts of patients with AA were compared with those having LH.
resultsOne-hundred-ninety-five patients (118 male/77 female) underwent appendectomy. Histopathological examination re-vealed acute AA in 161 patients (82.6%), and negative appendectomy (NA) in 19 patients (9.7%). Of the NA specimens, 16 were LH (8.2%). Thirteen patients (6.7%) had AA with simultaneous LH. White blood cell count (p=0.030, neutrophil (p=0.009), neutrophil per-centage (p=0.009), and neutrophil/lymphocyte ratio (p=0.007) were significantly higher in AA whereas lymphocyte count (p=0.027), lymphocyte percentage (p=0.006) were significantly higher in LH. Multi logistic regression analysis revealed white blood cell count as the only independent predictor in distinguishing AA from LH with a 69.1% sensitivity, 80.0% specificity, 77.5% positive predictive value, and 72.1% negative predictive value. The cut-off value for white blood cell count was 11.3 Ku/L, and every one unit (1000/mm3) increase in white blood cell count raises the risk of AA by 1.24 times, while values below this value will increase the likelihood of LH.
conclusionThe most predictive complete blood count parameter in distinguishing LH from AA appears to be as white blood cell count.
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