Association of peripheral differential leukocyte counts with dyslipidemia risk in Chinese patients with hypertension: insight from the China Stroke Primary Prevention Trial
Notice bibliographique
Résumé
The aim of the present study was to examine the association between peripheral differential leukocyte counts and dyslipidemia in a Chinese hypertensive population. A total of 10,866 patients with hypertension were enrolled for a comprehensive assessment of cardiovascular risk factors using data from the China Stroke Primary Prevention Trial. Plasma lipid levels and total leukocyte, neutrophil, and lymphocyte counts were determined according to standard methods. Peripheral differential leukocyte counts were consistently and positively associated with serum total cholesterol (TC), LDL cholesterol (LDL-C), and TG levels (all P < 0.001 for trend), while inversely associated with HDL cholesterol levels (P < 0.05 for trend). In subsequent analyses where serum lipids were dichotomized (dyslipidemia/normolipidemia), we found that patients in the highest quartile of total leukocyte count (≥7.6 × 109 cells/l) had 1.64 times the risk of high TG [95% confidence interval (CI): 1.46, 1.85], 1.34 times the risk of high TC (95% CI: 1.20, 1.50), and 1.24 times the risk of high LDL-C (95% CI: 1.12, 1.39) compared with their counterparts in the lowest quartile of total leukocyte count. Similar patterns were also observed with neutrophils and lymphocytes. In summary, these findings indicate that elevated differential leukocyte counts are directly associated with serum lipid levels and increased odds of dyslipidemia. The aim of the present study was to examine the association between peripheral differential leukocyte counts and dyslipidemia in a Chinese hypertensive population. A total of 10,866 patients with hypertension were enrolled for a comprehensive assessment of cardiovascular risk factors using data from the China Stroke Primary Prevention Trial. Plasma lipid levels and total leukocyte, neutrophil, and lymphocyte counts were determined according to standard methods. Peripheral differential leukocyte counts were consistently and positively associated with serum total cholesterol (TC), LDL cholesterol (LDL-C), and TG levels (all P < 0.001 for trend), while inversely associated with HDL cholesterol levels (P < 0.05 for trend). In subsequent analyses where serum lipids were dichotomized (dyslipidemia/normolipidemia), we found that patients in the highest quartile of total leukocyte count (≥7.6 × 109 cells/l) had 1.64 times the risk of high TG [95% confidence interval (CI): 1.46, 1.85], 1.34 times the risk of high TC (95% CI: 1.20, 1.50), and 1.24 times the risk of high LDL-C (95% CI: 1.12, 1.39) compared with their counterparts in the lowest quartile of total leukocyte count. Similar patterns were also observed with neutrophils and lymphocytes. In summary, these findings indicate that elevated differential leukocyte counts are directly associated with serum lipid levels and increased odds of dyslipidemia. Atherosclerosis is a multi-step chronic inflammatory disease. Largely characterized by the formation of lipid and immune-cell-containing plaques in the intima of large and mid-sized arteries (1Libby P. Lichtman A.H. Hansson G.K. Immune effector mechanisms implicated in atherosclerosis: from mice to humans.Immunity. 2013; 38: 1092-1104Abstract Full Text Full Text PDF PubMed Scopus (481) Google Scholar), it is often the underlying cause of CVDs and stroke (1Libby P. Lichtman A.H. Hansson G.K. Immune effector mechanisms implicated in atherosclerosis: from mice to humans.Immunity. 2013; 38: 1092-1104Abstract Full Text Full Text PDF PubMed Scopus (481) Google Scholar, 2Hansson G.K. Hermansson A. The immune system in atherosclerosis.Nat. Immunol. 2011; 12: 204-212Crossref PubMed Scopus (1610) Google Scholar, 3Legein B. Temmerman L. Biessen E.A. Lutgens E. Inflammation and immune system interactions in atherosclerosis.Cell. Mol. Life Sci. 2013; 70: 3847-3869Crossref PubMed Scopus (213) Google Scholar). Traditionally, atherosclerosis was thought to result from passive lipid accumulation in the arterial vessel wall. 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Macrophages in the pathogenesis of atherosclerosis.Cell. 2011; 145: 341-355Abstract Full Text Full Text PDF PubMed Scopus (1814) Google Scholar) and promote an inflammatory response in the artery wall, driving the process of atherosclerosis. This is opposed by HDL, which promotes cellular efflux of cholesterol and reduces inflammation (5Tall A.R. Yvan-Charvet L. Cholesterol, inflammation and innate immunity.Nat. Rev. Immunol. 2015; 15: 104-116Crossref PubMed Scopus (804) Google Scholar). The early inflammatory response to retained cholesterol is enhanced by oxidative modification of the LDL cholesterol (LDL-C) trapped in the vessel wall (7Moore K.J. Tabas I. Macrophages in the pathogenesis of atherosclerosis.Cell. 2011; 145: 341-355Abstract Full Text Full Text PDF PubMed Scopus (1814) Google Scholar). Accumulated oxidized LDL leads to decreased cholesterol efflux from macrophage foam cells (8Ouimet M. Wang M.D. Cadotte N. Ho K. Marcel Y.L. 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A large number of epidemiological studies has intensively evaluated multiple markers of inflammation as potential risk factors for the development of atherosclerosis and CVDs, such as high-sensitivity C-reactive protein (hsCRP), interleukin-6, and total leukocyte and its subset counts [neutrophil counts (13Guasti L. Dentali F. Castiglioni L. Maroni L. Marino F. Squizzato A. Ageno W. Gianni M. Gaudio G. Grandi A.M. et al.Neutrophils and clinical outcomes in patients with acute coronary syndromes and/or cardiac revascularisation. A systematic review on more than 34,000 subjects.Thromb. Haemost. 2011; 106: 591-599Crossref PubMed Scopus (159) Google Scholar, 14Gillum R.F. Mussolino M.E. Madans J.H. Counts of neutrophils, lymphocytes, and monocytes, cause-specific mortality and coronary heart disease: the NHANES-I epidemiologic follow-up study.Ann. Epidemiol. 2005; 15: 266-271Crossref PubMed Scopus (102) Google Scholar), monocyte counts (15Kato A. Takita T. Furuhashi M. Maruyama Y. Kumagai H. Hishida A. Blood monocyte count is a predictor of total and cardiovascular mortality in hemodialysis patients.Nephron Clin. Pract. 2008; 110: c235-c243Crossref PubMed Scopus (20) Google Scholar), and lymphocyte percentages (15Kato A. Takita T. Furuhashi M. Maruyama Y. Kumagai H. Hishida A. Blood monocyte count is a predictor of total and cardiovascular mortality in hemodialysis patients.Nephron Clin. Pract. 2008; 110: c235-c243Crossref PubMed Scopus (20) Google Scholar)]. Previous studies have found strong evidence of association between the frequency of leukocytes and/or its subsets, or the neutrophil/lymphocyte ratio (NLR) and vascular disease morbidity and mortality. Misialek et al. (16Misialek J.R. Bekwelem W. Chen L.Y. Loehr L.R. Agarwal S.K. Soliman E.Z. Norby F.L. Alonso A. Association of white blood cell count and differential with the incidence of atrial fibrillation: the Atherosclerosis Risk in Communities (ARIC) study.PLoS One. 2015; 10: e0136219Crossref PubMed Scopus (15) Google Scholar) prospectively examined the relationship between total white blood cell (WBC) count with incident atrial fibrillation (AF) in the Atherosclerosis Risk in Communities study and found that high total WBC, neutro
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».