The Predictive Values of White Blood Cell Indices (Lymphocyte and Eosinophilic Granulocyte) for Heart Failure in Acute Coronary Syndrome Patients Following Percutaneous Coronary Intervention: A Prospective Cohort Study

Wen, Wen; Zhang, Zhanyi; She, Jianqing; Ruan, Litao; Yan, Wei; Gao, Li; Zhou, Juan; Yuan, Zuyi

doi:10.2147/cia.s413313

Cited by 3 publications

(2 citation statements)

References 29 publications

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“…Our study demonstrated a statistically significant correlation between a high lymphocyteto-red blood cell ratio (LRR) value and an increased risk of developing Killip class III/IV. Previous studies support our results, demonstrating that a high lymphocyte count is correlated with an unfavorable prognosis [35].…”

Section: Lymphocytes-the Second Pillar Of the Bottom-up Phenomenonsupporting

confidence: 92%

Blood Cell Ratios Unveiled: Predictive Markers of Myocardial Infarction Prognosis

Jercălău,

Andrei,

Darabont

et al. 2024

Healthcare

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Background: Even if the management and treatment of patients with non-ST-elevation myocardial infarction (NSTEMI) have significantly evolved, it is still a burgeoning disease, an active volcano with very high rates of morbidity and mortality. Therefore, novel management and therapeutic strategies for this condition are urgently needed. Lately, theories related to the role of various blood cells in NSTEMI have emerged, with most of this research having so far been focused on correlating the ratios between various leukocyte types (neutrophil/lymphocyte ratio-NLR, neutrophil/monocyte ratio-NMR). But what about erythrocytes? Is there an interaction between these cells and leukocytes, and furthermore, can this relationship influence NSTEMI prognosis? Are they partners in crime? Methods: Through the present study, we sought, over a period of sixteen months, to evaluate the neutrophil/red blood cell ratio (NRR), monocyte/red blood cell ratio (MRR) and lymphocyte/red blood cell ratio (LRR), assessing their potential role as novel prognostic markers in patients with NSTEMI. Results: There was a statistically significant correlation between the NRR, LRR, MRR and the prognosis of NSTEMI patients. Conclusions: These new predictive markers could represent the start of future innovative therapies that may influence crosstalk pathways and have greater benefits in terms of cardiac repair and the secondary prevention of NSTEMI.

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Section: Lymphocytes-the Second Pillar Of the Bottom-up Phenomenonsupporting

confidence: 92%

Blood Cell Ratios Unveiled: Predictive Markers of Myocardial Infarction Prognosis

Jercălău,

Andrei,

Darabont

et al. 2024

Healthcare

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“…Heart failure (HF) is now one of the most common causes of cardiovascular disease, with increasing morbidity and mortality rates ( 1 ), and HF occurrence is closely related to the long-term survival of patients with acute coronary syndrome ( 2 ). Chronic HF (CHF) is a common complication of several heart diseases, characterized by impaired ventricular filling and ejection ( 3 ).…”

Section: Introductionmentioning

confidence: 99%

Echinacoside ameliorates doxorubicin‑induced cardiac injury by regulating GPX4 inhibition‑induced ferroptosis

Ma,

Yang,

Jiang

et al. 2023

Exp Ther Med

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Echinacoside (ECH) is a compound derived from the natural herbs Cistanche and Echinacea , which has considerable protective effects on heart failure (HF). HF is characterized by myocardial damage and abnormal ferroptosis. Glutathione peroxidase 4 (GPX4) is an important regulator of ferroptosis, which plays a role in ferroptosis-related diseases. Despite this, the therapeutic mechanisms of ECH against HF remain unknown. Therefore, the aim of the present study was to investigate the cardioprotective effect and underlying mechanisms of ECH in the treatment of doxorubicin (DOX)-induced chronic HF (CHF). Cell proliferation was assessed using a CCK-8 assay. Furthermore, cardiac cell injury and oxidative stress were determined by measuring the lactate dehydrogenase (LDH), malondialdehyde (MDA), and glutathione (GSH) levels. The levels of Fe 2+ and lipid reactive oxygen species (ROS), and expression of the biomarkers of ferroptosis, including GPX4 and prostaglandin-endoperoxide synthase 2 (PTGS2), were measured to examine cardiomyocyte ferroptosis. Additionally, RNA interference was used to silence Gpx4 . In vitro and in vivo , ECH considerably reduced the MDA and LDH levels and increased the GSH level, thereby attenuating DOX-induced cardiac injury and oxidative stress. Meanwhile, ECH treatment decreased the lipid ROS levels and PTGS2 expression while increasing GPX4 expression, thereby alleviating DOX-induced cardiomyocyte ferroptosis. Moreover, knockdown of Gpx4 inhibited the protective effects of ECH on DOX-induced accumulation of lipid ROS in cardiomyocytes. These findings indicate that ECH can reduce DOX-induced cardiac injury by inhibiting ferroptosis via GPX4, highlighting its value as a potentially valuable therapeutic target in the management of CHF.

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Prediction of Osteoporotic Hip Fracture Outcome: Comparative Accuracy of 27 Immune–Inflammatory–Metabolic Markers and Related Conceptual Issues

Fisher,

Srikusalanukul

2024

JCM

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Objectives: This study, based on the concept of immuno-inflammatory–metabolic (IIM) dysregulation, investigated and compared the prognostic impact of 27 indices at admission for prediction of postoperative myocardial injury (PMI) and/or hospital death in hip fracture (HF) patients. Methods: In consecutive HF patient (n = 1273, mean age 82.9 ± 8.7 years, 73.5% females) demographics, medical history, laboratory parameters, and outcomes were recorded prospectively. Multiple logistic regression and receiver-operating characteristic analyses (the area under the curve, AUC) were used to establish the predictive role for each biomarker. Results: Among 27 IIM biomarkers, 10 indices were significantly associated with development of PMI and 16 were indicative of a fatal outcome; in the subset of patients aged >80 years with ischaemic heart disease (IHD, the highest risk group: 90.2% of all deaths), the corresponding figures were 26 and 20. In the latter group, the five strongest preoperative predictors for PMI were anaemia (AUC 0.7879), monocyte/eosinophil ratio > 13.0 (AUC 0.7814), neutrophil/lymphocyte ratio > 7.5 (AUC 0.7784), eosinophil count < 1.1 × 109/L (AUC 0.7780), and neutrophil/albumin × 10 > 2.4 (AUC 0.7732); additionally, sensitivity was 83.1–75.4% and specificity was 82.1–75.0%. The highest predictors of in-hospital death were platelet/lymphocyte ratio > 280.0 (AUC 0.8390), lymphocyte/monocyte ratio < 1.1 (AUC 0.8375), albumin < 33 g/L (AUC 0.7889), red cell distribution width > 14.5% (AUC 0.7739), and anaemia (AUC 0.7604), sensitivity 88.2% and above, and specificity 85.1–79.3%. Internal validation confirmed the predictive value of the models. Conclusions: Comparison of 27 IIM indices in HF patients identified several simple, widely available, and inexpensive parameters highly predictive for PMI and/or in-hospital death. The applicability of IIM biomarkers to diagnose and predict risks for chronic diseases, including OP/OF, in the preclinical stages is discussed.

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The Predictive Values of White Blood Cell Indices (Lymphocyte and Eosinophilic Granulocyte) for Heart Failure in Acute Coronary Syndrome Patients Following Percutaneous Coronary Intervention: A Prospective Cohort Study

Cited by 3 publications

References 29 publications

Blood Cell Ratios Unveiled: Predictive Markers of Myocardial Infarction Prognosis

Blood Cell Ratios Unveiled: Predictive Markers of Myocardial Infarction Prognosis

Echinacoside ameliorates doxorubicin‑induced cardiac injury by regulating GPX4 inhibition‑induced ferroptosis

Prediction of Osteoporotic Hip Fracture Outcome: Comparative Accuracy of 27 Immune–Inflammatory–Metabolic Markers and Related Conceptual Issues

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