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Enregistrement W4417001949 · doi:10.1182/blood-2025-1094

Changes in complete blood count (CBC) and white blood cell (WBC) differential associated with overweight and obesity: A patient-level meta-analysis of randomized trials

2025· article· en· W4417001949 sur OpenAlexaff
Ella Derkzen, Benjamin Chin‐Yee, Cyrus C. Hsia

Notice bibliographique

RevueBlood · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueInflammatory Biomarkers in Disease Prognosis
Établissements canadiensLondon Health Sciences CentreWestern University
Organismes subventionnairesnon disponible
Mots-clésOverweightBody mass indexObesityLeukocytosisComplete blood countWhite blood cellConfoundingClinical trial

Résumé

récupéré en direct d'OpenAlex

Abstract Introduction: Obesity is a global public health concern associated with multiple comorbidities and adverse health outcomes. Hematologic changes have been reported in individuals with obesity, including leukocytosis and thrombocytosis, often attributed to increases in pro-inflammatory cytokines. However, the prevalence, magnitude, and clinical significance of these changes remain unclear, with data limited to retrospective studies. It is unknown whether abnormalities in the CBC and WBC differential can be attributed solely to obesity, or if they should prompt further investigation for underlying hematologic disorders. To address this question, we conducted patient-level meta-analysis of clinical trials in overweight and obese patients to characterize changes in the CBC and WBC differential associated with increased body mass index (BMI). Methods: Individual patient data were obtained from five randomized, double-blind, placebo-controlled trials of topiramate in overweight and obese adults from the Yale University Open Data Access program (YODA). Baseline demographics (age, sex, race), clinical (BMI, smoking status), and hematologic (CBC and WBC differential) parameters were pooled at the time of enrolment, before drug intervention. Associations between BMI and each hematologic parameter were examined using multiple linear regression, adjusting for age, sex, and smoking status as potential confounders. Multicollinearity among predictors was evaluated using variance inflation factors (VIF), with all values near 1, indicating minimal correlation between variables and allowing independent estimation of BMI effects. Model assumptions were assessed using residual, Q-Q plots, and Cook's Distance. Regression coefficients from each trial, representing the change in the laboratory value per 1 kg/m2 increase in BMI, were pooled in a two-step meta-analysis to generate summary effects for each parameter. Results: A total of 2,904 overweight and obese individuals (BMI range 26.5-51.4 kg/m²) had available hematologic data at enrolment. The cohort included 650 (22.4%) males and 2,254 (77.6%) females with a mean age of 46 (±11) years. Racial distribution was 2,764 (95.18%) White, 107 (3.68%) Black, 17 (0.59%) Asian, and 16 (0.55%) other. Mean CBC values for both sexes were within standard laboratory reference intervals. In most trial-specific regression models, BMI was positively associated with WBC count, red blood cell (RBC) count, platelet count, absolute lymphocyte count (ALC), and absolute neutrophil count (ANC), and inversely associated with hemoglobin and mean corpuscular volume (MCV). Pooled meta-analysis regression coefficients (per 1 kg/m² BMI) were: WBC +0.06 x10⁹/L; RBC +0.01 x10¹²/L; platelet count +0.84 x10⁹/L; ALC +0.01 x10⁹/L; ANC +0.04 x10⁹/L; hemoglobin -0.04 g/L; MCV –0.05 fL. These coefficients represent the average change in each parameter for every 1 kg/m² increase in BMI; i.e., a 10 kg/m² higher BMI was associated with an estimated WBC increase of 0.6 x10⁹/L, RBC increase of 0.1 x10¹²/L, platelet increase of 8.4 x10⁹/L, ALC increase of 0.1 x10⁹/L, and ANC increase of 0.4 x10⁹/L. Although statistically significant, these BMI-related changes were small in magnitude and most parameters remained within standard reference intervals. Discussion: This large patient-level meta-analysis of overweight and obese adults is the first to comprehensively evaluate hematologic parameters across multiple randomized trials, demonstrating that higher BMI is associated with statistically significant but clinically modest increases in RBC, WBC, and platelet count, and small decreases in hemoglobin and MCV. While these changes may, in rare cases, contribute to values falling above or below standard laboratory reference interval, the magnitude of effect is generally small and unlikely to explain more significant abnormalities. These findings suggest that obesity-related hematologic changes are modest and more substantial deviations should still prompt further evaluation. Hematologists should exercise caution in attributing abnormalities in the CBC and WBC differential solely to elevated BMI, as significant changes are more likely to reflect alternative or concurrent hematologic disorders. Further analyses will evaluate whether changes in BMI within individuals during trials were associated with corresponding changes in hematologic parameters, and these findings will be presented at ASH.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,031
score de la tête « metaresearch » (Gemma)0,042
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Méta-analyse · Signal consensuel: Méta-analyse
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,031
Score d'incertitude au seuil0,163

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0310,042
Méta-épidémiologie (sens strict)0,0030,002
Méta-épidémiologie (sens large)0,0190,055
Bibliométrie0,0040,006
Études des sciences et des technologies0,0010,001
Communication savante0,0040,002
Science ouverte0,0020,002
Intégrité de la recherche0,0020,003
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,051
Tête enseignante GPT0,270
Écart entre enseignants0,219 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeMéta-analyse
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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