OBJECTIVE: To explore the influence of circulating lymphocyte subsets, serum markers, clinical factors, and their impact on overall survival (OS) in locally advanced nasopharyngeal carcinoma (LA-NPC). Additionally, to construct a nomogram predicting OS for LA-NPC patients using independent prognostic factors.
METHODS: A total of 530 patients with LA-NPC were included in this study. In the training cohort, Cox regression analysis was utilized to identify independent prognostic factors, which were then integrated into the nomogram. The concordance index (C-index) was calculated for both training and validation cohorts. Schoenfeld residual analysis, calibration curves, and decision curve analysis (DCA) were employed to evaluate the nomogram. Kaplan-Meier methods was performed based on risk stratification using the nomogram.
RESULTS: A total of 530 LA-NPC patients were included. Multivariate Cox regression analysis revealed that the circulating CD8+T cell, platelet-to-lymphocyte ratio (PLR), lactate dehydrogenase (LDH), albumin (ALB), gender, and clinical stage were independent prognostic factors for LA-NPC (p < 0.05). Schoenfeld residual analysis indicated overall satisfaction of the proportional hazards assumption for the Cox regression model. The C-index of the nomogram was 0.724 (95% CI: 0.669-0.779) for the training cohort and 0.718 (95% CI: 0.636-0.800) for the validation cohort. Calibration curves demonstrated good correlation between the model and actual survival outcomes. DCA confirmed the clinical utility enhancement of the nomogram over the TNM staging system. Significant differences were observed in OS among different risk stratifications.
CONCLUSIONS: Circulating CD8+ T cell, PLR, LDH, ALB, gender and clinical stage are independent prognostic factors for LA-NPC. The nomogram and risk stratification constructed in this study effectively predict OS in LA-NPC.

We investigated the prognostic implications of the systemic immune-inflammatory index (SII), atherogenic index of plasma (AIP), C-reactive protein/albumin ratio (CAR), neutrophil-lymphocyte ratio (NLR), prognostic nutritional index (PNI), and triglyceride/glucose index (TGI) in the MORtality predictors in the CORonary Care Units in TURKey (MORCOR-TURK) population. This is the largest registry of coronary care unit (CCU) patients in Turkey (3157 patients admitted to CCU in 50 different centers). The study population was divided into two according to in-hospital survival status; 137 patients (4.3%) died in-hospital follow-up. A significant correlation was found between death and SII, CAR, NLR, and PNI but not for AIP and TGI in logistic regression. In Model 1 (combining parameters proven to be risk predictors), the -2 log-likelihood ratio was 888.439, Nagelkerke R2 was 0.235, and AUC (area under curve) was 0.814 (95% CI: 0.771-0.858). All other models were constructed by adding each inflammatory marker separately to Model 1. Only Model 3 (CAR + Model 1) had a significantly greater AUC than Model 1 (DeLong P = .01). Our study showed that CAR, but not other inflammatory index, is a significant predictor of in-hospital mortality in CCU patients when added to proven risk predictors.

Acute coronavirus disease 2019 (COVID-19) is paralleled by a rise in the peripheral levels of neurofilament light chain (NfL), suggesting early nervous system damage. In a cohort of 103 COVID-19 patients, we studied the relationship between the NfL and peripheral inflammatory markers. We found that the NfL levels are significantly predicted by a panel of circulating cytokines/chemokines, including CRP, IL-4, IL-8, IL-9, Eotaxin, and MIP-1ß, which are highly up-regulated during COVID-19 and are associated with clinical outcomes. Our findings show that peripheral cytokines influence the plasma levels of the NfL, suggesting a potential role of the NfL as a marker of neuronal damage associated with COVID-19 inflammation.

Understanding the interaction between dietary patterns and nutritional status in influencing health outcomes is crucial, especially in vulnerable populations. Our study investigates the impact of adherence to the Mediterranean diet (MD) and nutritional status on inflammatory markers (CRP) and the length of stay (LOS) in hospitalized frail elderly patients.
METHODS: We conducted two-way ANOVA and multiple regression analysis to evaluate the effects of nutritional status and MD adherence on the CRP levels and LOS in a cohort of 117 frail elderly patients aged 65 years or older. Patients with cancer or acute infection were excluded. Adherence to the MD was assessed using the 14-item PREDIMED questionnaire.
RESULTS: Significant interactions were found between nutritional status and MD adherence for both the CRP and LOS. The patients with low-level MD adherence and a poor nutritional status exhibited higher CRP levels and longer hospital stays compared to those with high MD adherence. Specifically, a statistically significant interaction was observed for the CRP (F (1, 113) = 7.36, p = 0.008) and LOS (F (1, 113) = 15.4, p < 0.001), indicating the protective effect of high-level MD adherence. Moderation analysis confirmed that high-level MD adherence mitigates the adverse effects of malnutrition on both the inflammatory response and LOS.
CONCLUSIONS: These findings highlight the importance of promoting the MD, particularly in malnourished elderly patients, to improve health outcomes and reduce hospitalization duration. Further longitudinal studies are warranted to establish causality and explore the underlying mechanisms.

BACKGROUND: Loss-of-control (LOC) eating, or the subjective experience of being unable to stop eating, is a hallmark feature of binge-eating episodes, which are also characterized by consuming an unusually large amount of food. However, regardless of the size of eating episode, LOC-eating may be a risk factor for adverse health outcomes. This systematic review and meta-analysis comprehensively examine the relationship of LOC-eating with cardiometabolic health components and inflammatory markers.
METHODS: Search procedures were conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) reporting guidelines in six electronic databases. Studies of adult or youth samples published in English from the year 2000 onward were included. Given heterogeneity in age groups and adjustment for body mass index across studies, these factors were included as meta-regression moderators.
RESULTS: Fifty-eight studies were identified through the literature search. Among individuals with (versus without) LOC-eating, relative risk ratios provided evidence of a greater relative risk for metabolic syndrome, hypertension, and dyslipidemia; standardized mean differences also provided evidence of higher waist circumference and impaired levels of fasting plasma glucose, high-density lipoprotein (HDL)-cholesterol, and triglycerides, but not blood pressure. Age group did not impact cardiometabolic health components. Body mass index differences moderated the effect on waist circumference. A narrative review of inflammatory markers revealed mixed findings linking inflammatory markers to LOC-eating.
CONCLUSIONS: Overall, evidence for the relationship between LOC-eating and impaired cardiometabolic health underscores LOC-eating as an important early intervention target for prevention of serious adverse health outcomes.

Introduction Acute insulin resistance (IR) and hyperglycemia are frequently observed during acute myocardial infarction (AMI), significantly influencing both immediate and long-term patient outcomes, irrespective of diabetic status. Neutrophilia and increased neutrophil activity, which are common in these scenarios, have been associated with poorer prognoses, as demonstrated in our recent findings. While it is well established that neutrophils and stress-induced hyperglycemia exacerbate inflammation and hinder recovery, the complex interplay between these factors and their combined impact on AMI prognosis remains inadequately understood. This study aims to investigate the effects of stress hyperglycemia and IR on AMI patients at the onset of the event and to elucidate the relationship between these metabolic disturbances and inflammatory markers, particularly neutrophils. Methods We conducted a longitudinal prospective study on 219 AMI patients at Elias Emergency Hospital in Bucharest, Romania, from April 2021 to September 2022. Patients were included within 24 hours of AMI with ST-segment elevation and excluded if they had acute infections or chronic inflammatory diseases. Blood samples were collected to study inflammatory biomarkers, including neutrophil extracellular traps (NETs), S100A8/A9, interleukin (IL)-1β, IL-18, and IL-6. Diabetic and pre-diabetic statuses were defined using glycated hemoglobin (HbA1c) and medical history (ADA 2019 criteria). To assess glycemic parameters, we employed the glycemia ratio (GR) and the homeostatic model assessment of insulin resistance (HOMA-IR) index, enabling a precise evaluation of stress hyperglycemia, acute IR, and their prognostic implications. Patients were stratified into groups based on GR calculations, categorized as under-average glycemia, normal glycemia, and stress hyperglycemia. Results The majority of patients in the stress hyperglycemia group exhibited an unfavorable prognosis. This group also demonstrated significantly elevated neutrophil counts and neutrophil-to-lymphocyte ratios (NLR). The GR was significantly and positively correlated with inflammation markers, including neutrophil count (Pearson\'s R = 0.181, P = 0.008) and NLR (Pearson\'s R = 0.318, P < 0.001), but showed no significant correlation with other evaluated inflammatory markers. Conclusions Our findings suggest that poor outcomes in AMI patients may be associated with stress hyperglycemia, as indicated by GR. AcuteIR, quantified by GR and HOMA-IR, exhibits a strong correlation with neutrophil count and NLR within the first 24 hours of AMI onset. However, no significant correlation was observed with other inflammatory markers, such as IL-1β, IL-18, and IL-6, underscoring the specific interplay between IR and neutrophil activity in this setting.

Introduction: The independent diagnostic value of inflammatory markers neutrophil to lymphocyte ratio (NLR) and platelet to lymphocyte ratio (PLR) and the diagnostic efficacy of NLR, derived neutrophil to lymphocyte ratio (dNLR), PLR, and lymphocyte-to-monocyte ratio (LMR) in glioma cases remain unclear. We investigated the correlation of preoperative peripheral blood inflammatory markers with pathological grade, Ki-67 Proliferation Index, and IDH-1 gene phenotype in patients with glioma, focusing on tumor grade and prognosis. Methods: We retrospectively analyzed the clinical, pathological, and laboratory data of 334 patients with glioma with varying grades and 345 with World Health Organization (WHO I) meningioma who underwent initial surgery at the Affiliated Hospital of Jining Medical University from December 2019 to December 2021. The diagnostic value of peripheral blood inflammatory markers for glioma was investigated. Results: The proportion of men smoking and drinking was significantly higher in the glioma group than in the meningioma group (P < .05); in contrast, the age and body mass index (Kg/m2) were significantly lower in the glioma group (P = .01). Significant differences were noted in the pathological grade (WHO II, III, and IV), Ki-67 Proliferation Index, and peripheral blood inflammatory markers such as lymphocyte median, NLR, dNLR, and PLR between the groups (P < .05). No significant correlation existed between peripheral blood inflammatory factors and IDH-1 gene mutation status or tumor location in patients with glioma (P > .05). LMR, NLR, dNLR, and PLR, varied significantly among different glioma types (P < .05). White blood cell (WBC) count, neutrophil, NLR, and dNLR correlated positively with glioma risk. Further, WBC, neutrophil, NLR, dNLR, and LMR had a high diagnostic efficiency. Conclusion: Peripheral blood inflammatory markers, serving as noninvasive biomarkers, offer high sensitivity and specificity for diagnosing glioma, differentiating it from meningioma, diagnosing GBM, and distinguishing GBM from low-grade glioma. These markers may be implemented as routine screening tools.

BACKGROUND: We aimed to generate a model of cancer-related fatigue (CRF) of clinical importance two years after diagnosis of breast cancer building on clinical and behavioral factors and integrating pre-treatment markers of systemic inflammation.
METHODS: Women with stage I-III HR+/HER2- breast cancer were included from the multimodal, prospective CANTO cohort (NCT01993498). The primary outcome was global CRF of clinical importance (EORTC QLQ-C30≥40/100) two years after diagnosis (year-2). Secondary outcomes included physical, emotional, and cognitive CRF (EORTC QLQ-FA12). All pre-treatment candidate variables were assessed at diagnosis, including inflammatory markers (interleukin [IL]-1a, IL-1b, IL-2, IL-4, IL-6, IL-8, IL-10, interferon gamma, IL-1 receptor antagonist, TNF-α, and C-reactive protein), and were tested in multivariable logistic regression models implementing multiple imputation and validation by 100-fold bootstrap resampling.
RESULTS: Among 1208 patients, 415 (34.4%) reported global CRF of clinical importance at year-2. High pre-treatment levels of IL-6 (Quartile 4 vs.1) were associated with global CRF at year-2 (adjusted Odds Ratio [aOR]: 2.06 [95% Confidence Interval 1.40-3.03]; p=0.0002; AUC=0.74). Patients with high pre-treatment IL-6 had unhealthier behaviors, including being frequently either overweight or obese (62.4%; mean BMI 28.0 [SD 6.3] Kg/m2) and physically inactive (53.5% did not meet WHO recommendations). Clinical and behavioral associations with CRF at year-2 included pre-treatment CRF (aOR vs no: 3.99 [2.81-5.66]), younger age (per 1-year decrement: 1.02 [1.01-1.03]), current smoking (vs never: 1.81 [1.26-2.58]), and worse insomnia or pain (per 10-unit increment: 1.08 [1.04-1.13], and 1.12 [1.04-1.21], respectively). Secondary analyses indicated additional associations of IL-2 (aOR per log-unit increment:1.32 [CI 1.03-1.70]) and IL-10 (0.73 [0.57-0.93]) with global CRF and of C-reactive protein (1.42 [1.13-1.78]) with cognitive CRF at year-2. Emotional distress was consistently associated with physical, emotional, and cognitive CRF.
CONCLUSIONS: This study proposes a bio-behavioral framework linking pre-treatment systemic inflammation with CRF of clinical importance two years later among a large prospective sample of survivors of breast cancer.

UNASSIGNED: To investigate the clinical efficacy of inhaled triple therapy in the treatment of stable chronic obstructive pulmonary disease (COPD).
UNASSIGNED: This is a clinical comparative study. A total of 80 patients with COPD admitted to the First People\'s Hospital of Suining City from June 2020 to June 2023 were included and randomly divided into the study (conventional COPD treatment + inhaled triple therapy) and control (conventional COPD treatment) groups. The clinical efficacy of inhaled triple therapy and adverse reactions of the two groups to the treatment were observed. Clinical efficacy was assessed through changes in pulmonary function indexes, and comparisons of T lymphocyte subsets and serum inflammatory markers were conducted. In addition, St George\'s Respiratory Questionnaire (SGRQ) was employed for the quality-of-life assessment.
UNASSIGNED: The study group showed a significantly higher total efficacy than the control group (P < 0.05), with no significant difference in terms of adverse reactions between them (P > 0.05). After treatment, the study group showed better improvement in pulmonary function indexes, such as forced expiratory volume in one second (FEV1), FEV1 as a percentage of the expected value, forced vital capacity (FVC) and FEV1/FVC, compared with the control group (all P < 0.05). In addition, the study group presented higher levels of T lymphocyte subsets CD3+, CD4+ and CD4+/CD8+ than the control group(all P < 0.05). After treatment, the levels of inflammatory markers tumour necrosis factor-α, leukotriene B4 LTB4 and interleukin-6 in the study group decreased more than those in the control group (all P < 0.05). Moreover, the study group attained a lower SGRQ score than the control group (all P < 0.05).
UNASSIGNED: Triple inhalants further improve the clinical efficacy of the treatment of COPD.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has led to substantial morbidity and mortality worldwide. Hematological abnormalities are common in COVID-19 patients and play a significant role in disease pathogenesis and prognosis.
OBJECTIVE: This study aimed to longitudinally monitor hematological parameters in COVID-19 patients and investigate their predictive value for disease severity and prognosis.
METHODS: A prospective longitudinal design was employed to enroll 121 adult patients diagnosed with COVID-19 based on positive SARS-CoV-2 reverse transcription-polymerase chain reaction (RT-PCR) test results. Baseline demographic and clinical data were collected, and hematological parameters, including complete blood count (CBC) indices, inflammatory markers, and coagulation profiles, were measured at predefined time points during hospitalization or outpatient visits. Follow-up assessments were conducted longitudinally to monitor the disease progression and clinical outcomes.
RESULTS: This study revealed dynamic changes in hematological parameters over the course of COVID-19. Hemoglobin levels showed a decrease from baseline (mean ± SD: 12.5 ± 1.8 g/dL) to the peak of illness (10.2 ± 2.0 g/dL), indicating the development of anemia during the acute phase of infection. White blood cell counts demonstrated an initial increase (8.9 ± 3.2 × 10^9/L) followed by a decline (5.4 ± 1.9 × 10^9/L) as the disease progressed, suggesting an early inflammatory response followed by immune suppression. The platelet counts fluctuated, with a decrease observed during the acute phase (190 ± 50 × 10^9/L) and subsequent recovery during convalescence (240 ± 60 × 10^9/L). Inflammatory markers, such as C-reactive protein and interleukin-6, were elevated, peaking at 120 and 150 pg/mL, respectively, indicating systemic inflammation. Coagulation profiles showed abnormalities suggestive of COVID-19-associated coagulopathy, including elevated D-dimer levels (mean ± SD: 3.5 ± 1.2 µg/mL) and prolonged prothrombin time (15.8 ± 2.5 seconds). Longitudinal analysis of hematological parameters revealed associations between disease severity and clinical outcomes, with certain abnormalities correlating with an increased risk of complications and a poor prognosis.
CONCLUSIONS: This study highlights the importance of monitoring hematological parameters in COVID-19 patients for risk stratification, prognostication, and guiding therapeutic interventions.