Search Results (63)

This study was performed to assess the effects of grape pomace feeding on the immunoglobulin concentration in mammary gland secretions and the biochemical parameters of sows’ blood. This study presents unique results of sow blood parameters obtained during the first day postpartum. Sixteen gestating sows were included in the experiment. The experimental group (DGP) received a supplement of dried grape pomace in the amount of 1% of the basal diet from the 7th day antepartum until the end of lactation. Blood, colostrum, and milk were taken from the sows. On the 1st day postpartum, in the sows’ blood, higher values of total proteins and globulins, as well as lower values of aspartate aminotransferase, creatinine, and the albumin/globulin ratio, were recorded in DGP. There were no significant differences in the concentration of immunoglobulins in the blood of sows between the groups. Also, differences in the concentrations of immunoglobulins in the colostrum and milk of sows throughout lactation were not statistically significant. It can be stated that the feeding of dried grape pomace did not have a negative effect on the biochemical parameters of the sows’ blood, colostrum, and milk. In addition, there is a potential suggestion that the addition of dried grape pomace could have a positive effect on the antioxidant status of sows. Full article

Objectives: Systemic inflammation, coagulopathy, and multiorgan dysfunction are common in critically ill patients and contribute significantly to mortality. Serum albumin and D-dimer are routinely used biomarkers that reflect nutritional status and coagulation activity, respectively. This study aimed to investigate the prognostic value of the albumin-to-D-dimer ratio (ADR) in predicting 30-day mortality among patients admitted to the intensive care unit (ICU) and undergoing mechanical ventilation. Methods: This retrospective cohort study included 162 adult patients who underwent invasive mechanical ventilation in the ICU of a tertiary care center between January 2021 and December 2023. Demographic data, comorbidities, and laboratory values—such as serum albumin, D-dimer, lactate, CRP, BUN, creatinine, INR, and platelet count—were recorded within the first 24 h of ICU admission. The albumin-to-D-dimer ratio (ADR) was calculated by dividing serum albumin (g/dL) by D-dimer (μg/mL). The patients were stratified into tertiles based on ADR values: low (<0.95), intermediate (0.95–1.45), and high (>1.45). The association between the ADR and 30-day mortality was analyzed using multivariate logistic regression and receiver operating characteristic (ROC) curve analysis. Results: Of the 162 patients included in the study, 61 (37.7%) died within 30 days. The patients who died had significantly lower ADR values at ICU admission compared to survivors (1.02 ± 0.43 vs. 1.56 ± 0.52, p < 0.001). In the multivariate logistic regression model, a lower ADR remained an independent predictor of 30-day mortality (OR: 0.39; 95% CI: 0.26–0.58; p < 0.001), even after adjusting for age, lactate, creatinine, INR, and other relevant clinical variables. ROC curve analysis demonstrated that the ADR had the highest discriminative performance among all the evaluated parameters, with an AUC of 0.802 (95% CI: 0.728–0.875; p < 0.001). The optimal cut-off value for the ADR was identified as <1.05, yielding a sensitivity of 78.7% and a specificity of 71.4% in predicting 30-day mortality. Conclusions: The ADR is independently associated with 30-day mortality in mechanically ventilated ICU patients and may serve as a useful early prognostic marker. However, given the retrospective, single-center nature of this study, these findings should be interpreted with caution. Further prospective, multicenter studies are needed to validate the clinical utility of the ADR. Full article

The tree monitor lizards of the subgenus Hapturosaurus are an understudied but increasingly important group of reptiles in zoos. The routine blood analysis of reptiles in captivity is highly recommended; however, the lack of reliable reference values for many species severely limits their clinical use. This study aims to establish preliminary reference values (RV) for the main hematological and biochemical parameters in three species of the subgenus Hapturosaurus (Varanus macraei, Varanus prasinus and Varanus beccarii). Blood samples were taken from healthy adult individuals (n = 34), females (n = 18) and males (n = 16), maintained under controlled conditions in a zoo. A complete biochemical analysis was performed on all individuals, including alanine-aminotransferase, alkaline phosphatase, gamma-glutamyl transpeptidase, aspartate-aminotransferase, creatine kinase, bile acids, urea, uric acid, total solids, total proteins, albumin, glucose, fructosamine, lactate, cholesterol, triglycerides, amylase, calcium, phosphorus, calcium:phosphorus ratio, and magnesium. In addition, a complete hematological analysis was conducted on these individuals, including hematocrit, hemoglobin concentration, total erythrocyte and leukocyte counts, and leukocyte differential count. From the data obtained, reference intervals were established following the guidelines provided by the American Society for Veterinary Clinical Pathology (ASVCP). In this study, the results of the three species were unified to increase the sample size and to obtain more representative reference intervals. This unification was supported by a statistical analysis using the one-factor ANOVA test, which showed no statistically significant differences between species (p < 0.050). These data constitute an essential first step for the clinical practice and management of these Hapturosaurus species in zoos and specialized centers. Future collaboration with other institutions will help expand the dataset and enhance the accuracy of the established reference values. Full article

Background: Current severity scoring systems in intensive care units (ICUs) are complex and time-consuming, limiting their utility for rapid clinical decision-making. This study aimed to develop and validate simplified prediction models using readily available biomarkers for assessing in-hospital mortality risk. Methods: We analyzed 19,720 adult ICU patients in this retrospective study. Three prediction models were developed: a basic model using lactate-to-albumin ratio (LAR) and neutrophil percent-to-albumin ratio (NPAR) and two enhanced models incorporating mechanical ventilation and continuous renal replacement therapy. Model performance was evaluated against Sequential Organ Failure Assessment (SOFA) score and Acute Physiology and Chronic Health Evaluation (APACHE) II score using machine learning approaches and validated through comprehensive subgroup analyses. Results: Among individual biomarkers, SOFA score showed the highest discriminatory power (area under these curves [AUC] 0.931), followed by LAR (AUC 0.830), CAR (AUC 0.749), and NPAR (AUC 0.748). Our enhanced Model 3 demonstrated exceptional predictive performance (AUC 0.929), statistically comparable to SOFA (p = 0.052), and showed a trend toward superiority over APACHE II (AUC 0.900, p = 0.079). Model 2 performed comparably to APACHE II (AUC 0.913, p = 0.430), while Model 1, using only LAR and NPAR, achieved robust performance (AUC 0.898) despite its simplicity. Subgroup analyses across different ICU types demonstrated consistent performance of all three models, supporting their broad clinical applicability. Conclusions: This study introduces novel, simplified prediction models that rival traditional scoring systems in accuracy while offering significantly faster implementation. These findings represent a crucial step toward more efficient and practical risk assessment in critical care, potentially enabling earlier clinical interventions and improved patient outcomes. Full article

Background and Objectives: Sepsis is a critical condition with high mortality rates worldwide. The early identification of patients at an elevated risk of mortality remains a significant clinical challenge. The lactate/albumin (L/A) ratio has emerged as a potential prognostic biomarker in critically ill patients. This exploratory study aimed to evaluate the L/A ratio as a predictor of mortality in patients with sepsis or septic shock and to describe the demographic and clinical characteristics of affected patients in a tertiary referral hospital in Western Mexico. Materials and Methods: A retrospective cross-sectional study was conducted including patients diagnosed with sepsis or septic shock between January 2022 and June 2023. Clinical and biochemical data, including serum lactate and albumin levels, were collected from medical records to calculate the L/A ratio. The primary outcome was in-hospital mortality. The statistical analysis included receiver operating characteristic (ROC) curves to evaluate the L/A ratio’s discriminative capacity, a bivariate analysis, and a multivariate logistic regression to identify independent risk factors for mortality. Results: A total of 141 patients were included in the study, and the median L/A ratio was significantly higher in non-survivors compared to survivors (0.95 vs. 0.60, p = 0.003). The ROC analysis showed an area under the curve (AUC) of 0.651, with a sensitivity of 36.5% and specificity of 82% at a cutoff value of 1.12. The multivariate analysis identified serum albumin levels and vasopressor use as independent predictors of mortality. Conclusions: The L/A ratio demonstrates potential as a simple and accessible prognostic biomarker for mortality in sepsis, though its utility requires further validation in larger prospective studies. Full article

Background/Objectives: Nivolumab has been shown to be an effective treatment for metastatic renal cell carcinoma (mRCC); however, patient responses vary considerably. The objective of this study is to evaluate the prognostic value of the C-PLAN index in predicting survival outcomes for patients with mRCC treated with nivolumab. Methods: This retrospective cohort study included 81 mRCC patients previously treated with tyrosine kinase inhibitors who subsequently received nivolumab. The C-PLAN index, which includes C-reactive protein, performance status, lactate dehydrogenase, albumin, and derived neutrophil-to-lymphocyte ratio, was used to classify patients into “good” and “poor” prognostic groups. Results: The median overall survival (OS) was 22 months, and the median progression-free survival (PFS) was 6.7 months. Patients in the “poor” C-PLAN group exhibited significantly shorter OS and PFS than those in the “good” group (median OS: 13 vs. 31 months, p = 0.003; median PFS: 3 vs. 10 months, p = 0.007). The C-PLAN index was identified as an independent predictor of both OS (HR = 1.19, 95% CI: 1.11–3.43, p = 0.020) and PFS (HR = 1.71, 95% CI: 1.04–2.78, p = 0.032) in multivariate analysis. Conclusions: These findings suggest that the C-PLAN index may serve as a valuable prognostic tool, offering insights into survival outcomes for patients undergoing nivolumab therapy. Further prospective and multicenter studies are warranted to validate its clinical utility. Full article

Background: Malnutrition during pregnancy and the first 1000 days of life can impair brain function and hippocampus development. Research has shown that protein deficiency (PD) in pregnant and lactating mothers can lead to neurocognitive issues from early life into adulthood. Moringa oleifera has been used as a dietary supplement for malnutrition; however, its neuroprotective effects on offspring with PD are unclear. Aims: This study aimed to investigate the effects of ethanol leaf extract of Moringa oleifera (EEMO) on rat offspring born to mothers who experienced protein deficiency during pregnancy and lactation. Methods: Female Sprague Dawley rats were given low (9% protein) or normal protein diets (18% protein) during pregnancy and lactation. Afterward, EEMO was administered to the offspring starting from the end of lactation for 5 weeks. Results: Offspring from mothers with protein deficiency showed low birth weight, slow weight gain, low BMI, low albumin levels, and anemia compared to those born with mothers fed with a standard protein diet. However, pups treated with EEMO showed higher cognitive improvement and a decrease in the ratio of abnormal to normal cells in the cornu ammoni (CA) CA1, CA2, CA3, and CA4 regions of the hippocampus. Conclusions: The present study suggests that EEMO supplementation could improve conditions of protein deficiency and cognitive function, making it a cost-effective dietary supplement for addressing these issues. Full article

Background/Objectives: Acute pulmonary embolism (APE) is a clinical syndrome characterized by the obstruction of blood flow in the pulmonary artery, whose main pathophysiological features are respiratory and circulatory dysfunction. Acute pulmonary embolism is associated with a high mortality rate. Diagnostic and therapeutic delays can exacerbate mortality and result in prolonged hospitalization. With the increasing understanding that APE is associated with inflammation, various indices based on systemic inflammation have been shown to predict prognosis in patients with APE. The NAPLES Prognostic Score (NPS) is a new scoring system that indicates the inflammatory and nutritional status of the patient based on albumin (ALB) levels, total cholesterol (TC) levels, lymphocyte-to-monocyte ratio (LMR) and neutrophil-to-lymphocyte ratio (NLR). Our study aimed to examinate the effect of NPS on APE prognosis, so the relationship between NPS and APE prognosis was evaluated in our study. In addition, this study seeks to lay the groundwork for further investigations into this association and expand the existing body of knowledge. Methods: The clinical data of patients who applied to the Dicle University Faculty of Medicine and were diagnosed with APE between March 2014 and April 2024 were evaluated retrospectively, with 436 patients aged 18 years and over included in the study. Patients were divided into two groups according to NPS. It was statistically investigated whether there was a significant difference in long-term mortality between the two groups. Statistical analyses were performed using Statistical Package for the Social Sciences (SPSS) version 21.0. Results: Survival was found to be statistically significantly lower in patients with NPS 3–4 (p < 0.05). In the multivariate regression analyses, no statistically significant effect of NPS or other parameters except lactate on 3-month mortality was found (p > 0.05). The short-term prognostic value of the NPS has been found to be equivalent to that of the sPESI score. It may be considered that APE patients with high NPS scores should be monitored more frequently. Conclusions: Increased NPS was found to be associated with poor APE prognosis in our study. Full article

Background: The lactate dehydrogenase to albumin ratio (LAR) is a novel inflammatory marker and a potential predictor of mortality in various conditions. No research has yet examined LAR’s impact on mortality in cardiac surgery patients. This study evaluated LAR’s role in predicting mortality and complications in isolated coronary artery bypass grafting (CABG) patients. Methods: A retrospective analysis of 377 CABG patients (93 women, 24.7%; 284 men, 75.3%; mean age 65.9 years) from 2020 to 2024 was conducted. Data included demographics, preoperative characteristics, surgical details, and postoperative outcomes, along with ICU and hospital length of stay (LOS). Results: In-hospital mortality was 6.1% (n = 23). Independent predictors were low preoperative ejection fraction (EF) (OR: 0.96, p = 0.024), baseline LAR (OR: 1.08, p = 0.000), LOS-ICU (OR: 1.1, p = 0.000), postoperative ventricular tachycardia (OR: 37.9, p = 0.006), and acute renal failure (OR: 12.1, p = 0.000). Mortality cases had a higher median LAR than survivors (8.6 vs. 5.2, p = 0.000). Elevated LAR correlated with lower preoperative EF (r = −0.227, p = 0.000), longer LOS-ICU (r = 0.17, p = 0.001), and longer LOS-hospital (r = 0.208, p = 0.000). A LAR cut-off of 7.097 predicted mortality (AUC: 0.823, sensitivity 78.3%, specificity 77.1%). Elevated LAR values were observed in all groups with postoperative complications (p < 0.05), indicating its consistent association with negative outcomes. Conclusions: LAR is a valuable predictor of in-hospital mortality and postoperative complications in CABG patients. Elevated LAR is associated with longer ICU/hospital stays and poorer outcomes. Preoperative LAR assessment can guide risk stratification, forecast mortality, and inform surgical planning and treatment strategies. Full article

Background: Although immune checkpoint inhibitors (ICIs) have significantly improved cancer treatment, a substantial proportion of patients do not benefit from these therapies, revealing the crucial need to identify reliable biomarkers. Inflammatory markers, such as the neutrophil-to-lymphocyte ratio (NLR), systemic immune-inflammation index (SII), pan-immune inflammation value (PIV), systemic inflammation response index (SIRI), lactate dehydrogenase (LDH), and C-reactive protein (CRP), may provide insights into treatment outcomes. Objectives: This study aimed to evaluate the prognostic value of multiple inflammatory markers in patients with cancer receiving ICI-based therapies. Methods: A retrospective analysis was performed on 226 patients treated with ICI-based therapies at a single center between 2012 and 2023. The inflammatory markers NLR, PIV, SII, SIRI, LDH, CRP, and albumin were assessed. Cut-off values were determined using maximally selected rank statistics, and overall survival (OS) and progression-free survival (PFS) were evaluated using the Kaplan–Meier method and Cox regression analysis. Results: High NLR, PIV, SII, SIRI, LDH, and CRP, as well as low albumin levels, were associated with worse OS and PFS (p < 0.001). In the multivariate analysis, high CRP, LDH, NLR, PIV, and SII independently predicted worse OS. Conclusions: Our findings confirm the prognostic utility of several inflammatory biomarkers in patients with cancer receiving ICIs, highlighting their potential for treatment stratification. Further studies are necessary to standardize cut-off values and validate these findings across broader, more diverse populations. Full article

Background: Vasoactive inotrope score, renal score, fibrosis-5 index, and lactate-albumin ratio have not been investigated before in determining multiple organ dysfunctions accompanying infants with hypoxic–ischemic encephalopathy (HIE) in neonatal intensive care units (NICUs). The aim of this study was to determine whether multiple organ dysfunctions that may accompany HIE in infants are correlated with vasoactive inotrope score (VIS), renal score (RS), fibrosis-5 index (FIB-5), and lactate-albumin ratio (LAR), and whether these parameters can predict morbidity and mortality. Methods: This is a retrospective study, and 106 newborns diagnosed with HIE and treated with hypothermia were included in the study. Vasoactive inotrope score for cardiac dysfunction, renal score for renal dysfunction, fibrosis-5 index, and lactate/albumin ratio for hepatic dysfunction were evaluated. Results: We found that the vasoactive inotrope score, renal score, fibrosis-5 index, and lactate-albumin ratio values of infants diagnosed with HIE are associated with cardiac, renal, and hepatic dysfunction. These values, calculated on the 2nd postnatal day, are particularly linked to prolonged hospital stay and mortality, which are key prognostic factors. Conclusions: Our study is the first to combine vasoactive inotrope score, renal score, fibrosis-5 index, and lactate-albumin ratio parameters in determining organ dysfunction in newborns with hypoxic–ischemic encephalopathy and to reveal their prognostic and mortality prediction values. Therefore, although it offers new perspectives, new studies are needed. Full article

Background/Objectives: The objective of this study was to evaluate the diagnostic accuracy of the lactate dehydrogenase-to-albumin ratio (LAR) in adult-onset Still’s disease (AOSD) and compare it with other inflammatory indices, using patients with fever of unknown origin (FUO) as a control group due to their overlapping clinical features with AOSD. The study also compared LAR’s diagnostic performance with other inflammatory indices like the serum immune-inflammatory index (SII), ferritin/erythrocyte sedimentation rate (FER), CRP/albumin ratio (CAR), platelet/lymphocyte ratio (PLR), and neutrophil/lymphocyte ratio (NLR), as well as its combinations with FER, PLR, and ferritin (LAR + FER, LAR + PLR, LAR + ferritin). Methods: A retrospective evaluation was conducted on 70 patients with fever of unknown cause and 78 patients with AOSD, admitted between January 2000 and December 2023 in a tertiary care hospital. Demographic, clinical, and laboratory characteristics were compared between the groups. ROC analysis provided cutoff values, sensitivity, and specificity for each inflammatory index. Results: ROC analysis showed significant p-values (p < 0.05) for indices other than LAR (p = 0.090) LAR + PLR (p = 0.806), and PLR (p = 0.634) in diagnosing AOSD. The highest specificity was found in LAR + ferritin (92.90%), and the highest sensitivity in CAR (100.0%). NLR, SII, FER, and LAR + FER were the indices with both sensitivity and specificity above 50%. LAR had a sensitivity of 76.90% and a specificity of 48.60%. The cutoff values were 3978.0 µg/L for ferritin and 70.98 for LAR. Significant statistical differences between AOSD and non-AOSD groups were observed for all indices except CAR (p = 0.133). Conclusions: LAR can differentiate AOSD patients from FUO, but its specificity is lower than most other indices. The diagnostic utility of these indices in clinical practice remains controversial. Full article

Background/Objectives: Pathophysiological variability in patients with cancer is associated with differences in responses to pharmacotherapy. In this work, we aimed to describe the demographic characteristics and hematological, biochemical, and coagulation variables in a large oncology cohort and to develop, optimize, and provide open access to modeling equations for the estimation of variables potentially relevant in pharmacokinetic modeling. Methods: Using data from 1793 patients with cancer, divided into training (n = 1259) and validation (n = 534) datasets, a modeling network was developed and used to simulate virtual oncology populations. All analyses were conducted in RStudio 4.3.2 Build 494. Results: The simulation network based on sex, age, biogeographic origin/ethnicity, and tumor type (fixed or primary factors) was successfully validated, able to predict age, height, weight, alpha-1-acid glycoprotein, albumin, hemoglobin, C-reactive protein and lactate dehydrogenase serum levels, platelet–lymphocyte and neutrophil–lymphocyte ratios, and hematocrit. This network was then successfully extrapolated to simulate the laboratory variables of eight oncology populations (n = 1200); only East Asians, Sub-Saharan Africans, Europeans, only males, females, patients with an ECOG performance status equal to 2, and only patients with pancreas cancer or ovarian cancer. Conclusions: this network constitutes a valuable tool to predict relevant characteristics/variables of patients with cancer, which may be useful in the evaluation and prediction of pharmacokinetics in virtual oncology populations, as well as for model-based optimization of oncology treatments. Full article

Aim: This study sought to evaluate the effectiveness of lactate/albumin ratio for ICU mortality prediction in a large cohort of patients with severe Coronavirus Disease-2019 (COVID-19) admitted to an intensive care unit (ICU). Methods: This is a single-center retrospective cohort study of prospectively collected data derived from the COVID-19 dataset for all critically ill patients admitted to an academic ICU. Data were used to determine the relation between lactate/albumin ratio and other laboratory parameters measured on the first day of the ICU stay and to evaluate the prognostic performance for ICU mortality prediction. Results: A total of 805 ICU patients were included, and the median age (IQR) was 67 (57–76) years, with 68% being male. ICU mortality was 48%, and the median lactate/albumin ratio was 0.53 (0.39–0.59). A survival analysis showed that patients with higher lactate/albumin ratio values had significantly lower survival rates (Log Rank p < 0.001). A multivariable analysis revealed that the lactate/albumin ratio was an independent risk factor for ICU mortality with a hazard ratio of 1.39 (CI: 1.27–1.52). The lactate/albumin ratio showed a receiver operating characteristics area under the curve (ROC-AUC) value to predict ICU mortality significantly higher than that of lactate alone (0.71 vs. 0.68, DeLong test p < 0.001). The optimal lactate/albumin ratio cut-off for predicting ICU mortality was 0.57, with 63% sensitivity and 73% specificity. A subgroup analysis revealed that the lactate/albumin ratio was significantly associated with mortality across different patient groups, including age and sex categories, and those with or without hypertension and coronary heart disease. Conclusions: Lactate/albumin ratio is a reliable prognostic marker in critically ill COVID-19 patients and could predict ICU mortality more accurately than lactate alone. Full article

Background and Objectives: Neoadjuvant chemotherapy (NAC) improves survival by increasing pathologic complete response (pCR). Blood-based indexes have been studied in breast cancer for predicting pCR and prognosis, but the results are conflicting. We aimed to assess the impact of inflammatory and nutritional indexes on pCR and survival. Materials and Methods: We retrospectively analyzed 304 patients. Pre-NAC laboratory data were used to calculate their neutrophil-to-lymphocyte ratios (NLR), pan-immune inflammation values (PIV), lactate dehydrogenase–albumin ratios (LAR), and prognostic nutritional indexes. The optimal cut-off values were determined through an analysis of the receiver operating characteristic curve. Survival analyses were performed using the Kaplan–Meier method. Multivariate regression analyses were performed to reveal the factors predicting pCR. Univariate and multivariate survival analyses were conducted to identify prognostic factors predicting survival. Results: The median follow-up was 38.5 months. pCR was achieved in 41.4% of the patients. In the univariate analyses, the NLR (p = 0.032) and PIV (p = 0.002) were indexes associated with pCR. In the multivariate analysis, the PIV (p = 0.008) was the only index significantly correlated with pCR. According to the multivariate Cox regression analyses, clinical stage 3 (p = 0.032), a pathologic response other than pCR (p = 0.021), and a high LAR (≥4.72) (p = 0.002) were correlated with increased recurrence risk. The univariate Cox regression analyses revealed that failure to achieve pCR (p = 0.037) and the presence of a high LAR (p = 0.044) were significant predictors of overall survival. However, the multivariate analyses failed to identify any significant predictors of death. Conclusions: We found that the PIV was more effective than the other indexes in predicting pCR. To our knowledge, this study is the first to determine an association between the LAR and disease-free survival in patients with breast cancer receiving NAC. We concluded that a high LAR was a poor prognostic factor, especially in patients without a pCR. Therefore, close postoperative monitoring and the intensification of adjuvant treatment should be considered for these patients. However, further studies are needed to confirm our findings. Full article