Diagnostic Value Research Articles

Diagnostic value of the flare sign in predicting extracapsular extension in metastatic axillary lymph nodes and nodal status on breast magnetic resonance imaging.

This study aimed to evaluate the diagnostic performance of breast magnetic resonance imaging (MRI) in predicting extracapsular extension (ECE) and axillary nodal status in the axillary metastatic lymph nodes of patients with breast cancer. The preoperative MRI scans of 92 patients with breast cancer and axillary metastases who did not receive neoadjuvant treatment between January 2018 and January 2024 were retrospectively examined. The presence of an increased signal in the axillary fatty tissue surrounding the lymph node (flare sign) on T2-weighted images, irregular nodal contour (shaggy margin), axillary asymmetry (difference in the number and size of lymph nodes compared with the unaffected axilla), loss of the fatty hilum in the most suspicious lymph node, and morphological features on T1-weighted images were assessed. Each dissected axillary lymph node was examined for ECE, and the histopathological results were recorded. Axillary flare sign was significantly associated with the presence of ECE (P < 0.001), number of lymph nodes with ECE (P < 0.001), the presence of ≥4 axillary metastatic lymph nodes (P < 0.001), size of the primary tumor (P = 0.033), lymphovascular invasion in the primary tumor (P < 0.001), and presence of perineural invasion (P = 0.001). The flare sign exhibited 65.7% sensitivity, 96% specificity, 97.8% positive predictive value, 51.1% negative predictive value, and 73.9% accuracy in predicting ECE. Additionally, the receiver operating characteristic curve analysis revealed an area under the curve of 0.808 (95% confidence interval: 0.719-0.898). The flare sign has high performance in predicting ECE and axillary nodal status and is associated with primary tumor aggressiveness, indicating its potential utility in preoperative evaluation. The flare sign on breast MRI may play a crucial role in preoperative planning, surgical decision-making, and axillary status assessment by accurately predicting ECE.

Clinical application of oral contrast-enhanced ultrasound in evaluating the preoperative T staging of gastric cancer.

Oral contrast-enhanced ultrasound (OCEUS) is widely used in the noninvasive diagnosis and screening of gastric cancer (GC) in China. To investigate the clinical application of OCEUS in evaluating the preoperative T staging of gastric cancer. OCEUS was performed before the operation, and standard ultrasound images were retained. The depth of infiltration of GC (T-stage) was evaluated according to the American Joint Committee on Cancer 8th edition of the tumor-node-metastasis staging criteria. Finally, with postoperative pathological staging as the gold standard reference, the sensitivity, specificity, negative predictive value, positive predictive value, and diagnostic value of OCEUS T staging were evaluated. OCEUS achieved diagnostic accuracy rates of 76.6% (T1a), 69.6% (T1b), 62.7% (T2), 60.8% (T3), 88.0% (T4a), and 88.7% (T4b), with an average of 75.5%. Ultrasonic T staging sensitivity exceeded 62%, aside from T1b at 40.3%, while specificity was over 91%, except for T3 with 83.5%. The Youden index was above 60%, with T1b and T2 being exceptions. OCEUS T staging corresponded closely with pathology in T4b (kappa > 0.75) and moderately in T1a, T1b, T2, T3, and T4a (kappa 0.40-0.75), registering a concordance rate exceeding 84%. OCEUS was effective, reliable, and accurate in diagnosing the preoperative T staging of GC. As a noninvasive diagnostic technique, OCEUS merits clinical popularization.

Magnetic resonance diffusion tensor imaging for detecting the cerebral microstructure changes in patients with CSVD -induced mild cognitive impairment.

Cerebral small vessel disease (CSVD)-induced mild cognitive impairment (MCI) has been linked to cognitive decline. Brain atrophy is considered the most common change in MCI patients, which can be measured by diffusion tensor imaging (DTI). The study aimed to explore the relationship between DTI parameters and cognitive function in CSVD patients with MCI. This retrospective analysis involved 185 patients with CSVD, comprising 87 cases with MCI and 98 cases without MCI (NMCI). Analyses of demographic and clinical characteristics were conducted. DTI-measured fractional anisotropy (FA) and mean diffusivity (MD) in the hippocampus and entorhinal cortex regions were examined. The diagnostic values were determined using receiver-operative-curve (ROC) analysis, with the Youden Index identifying optimum sensitivity and specificity. Correlations between Montreal cognitive assessment (MoCA) scores and FA or MD in MCI patients were further assessed. No significant differences were observed in demographic and clinical characteristics between MCI and NMCI groups (all p>0.05), except for diabetes prevalence (p=0.011). Notably, the ROC analysis highlighted the diagnostic potential of FA, showing the maximum area under the curve values (Hippocampus-Left: 0.76; Hippocampus-Right: 0.66; Entorhinal cortex-Left: 0.62; Entorhinal cortex-Right: 0.64). MD exhibited a significant negative correlation with MoCA scores (Hippocampus-Left: r=-0.58, p<0.001; Hippocampus-Right: r=-0.41, p<0.001; Entorhinal cortex-Left: r=-0.49, p<0.001; Entorhinal cortex-Right: r=-0.27, p<0.001), while FA showed a significant positive correlation (Hippocampus-Left: r=0.51, p<0.001; Hippocampus-Right: r=0.31, p=0.004; Entorhinal cortex-Left: r=0.35, p<0.001; Entorhinal cortex-Right: r=0.38, p<0.001). The study demonstrates the diagnostic value of DTI parameters in CSVD patients with MCI, emphasizing the associations between microstructural brain changes and cognitive function.

A Long-Term Follow-Up Study of Serum NFATc3 Levels in Pediatric Patients with Bronchial Asthma: A Prospective Observational Case-Control Investigation.

The early and precise diagnosis of asthma significantly impacts the long-term health outcomes of pediatric patients. The sensitivity and specificity of current biomarkers, however, are frequently limited. Our study aimed to evaluate the clinical significance of nuclear factor of activated T cells, cytoplasmic 3 (NFATc3), in pediatric bronchial asthma, focusing on its diagnostic and prognostic value for disease severity and recurrence. This observational, prospective case-control study involved 200 pediatric patients with bronchial asthma and 200 age- and sex-matched healthy controls, from January 2020 to January 2023. Follow-up varied from 1 to 3 years. We measured levels of NFATc3 and inflammatory cytokines interleukin-1β (IL-1β), IL-6, and TNF-α via enzyme-linked immunosorbent assay. NFATc3 and IL-1β levels at enrollment were markedly higher in patients with acute exacerbations and those classified as severe, compared with their less severe counterparts. Throughout the study, NFATc3, IL-1β, and IL-6 levels significantly increased in severe or acutely exacerbating cases. The diagnostic value of NFATc3 was assessed through receiver operating characteristic curve analysis, which showed its potential in diagnosing bronchial asthma and identifying severe cases. Spearman's analysis confirmed positive associations between peak NFATc3 and cytokine levels. Importantly, disease type, NFATc3 values at enrollment, as well as peak IL-6 levels were identified as independent risk factors for severe bronchial asthma. Elevated NFATc3 is linked with the severity of pediatric bronchial asthma and serves as a potential biomarker for diagnosis and severity prediction, emphasizing its role in guiding treatment strategies.

Mass Spectrometry-Based Metabolomics Reveals a Salivary Signature for Low-Severity COVID-19

Omics approaches were extensively applied during the coronavirus disease 2019 (COVID-19) pandemic to understand the disease, identify biomarkers with diagnostic and prognostic value, and discover new molecular targets for medications. COVID-19 continues to challenge the healthcare system as the virus mutates, becoming more transmissible or adept at evading the immune system, causing resurgent epidemic waves over the last few years. In this study, we used saliva from volunteers who were negative and positive for COVID-19 when Omicron and its variants became dominant. We applied a direct solid-phase extraction approach followed by non-target metabolomics analysis to identify potential salivary signatures of hospital-recruited volunteers to establish a model for COVID-19 screening. Our model, which aimed to differentiate COVID-19-positive individuals from controls in a hospital setting, was based on 39 compounds and achieved high sensitivity (85%/100%), specificity (82%/84%), and accuracy (84%/92%) in training and validation sets, respectively. The salivary diagnostic signatures were mainly composed of amino acids and lipids and were related to a heightened innate immune antiviral response and an attenuated inflammatory profile. The higher abundance of thyrotropin-releasing hormone in the COVID-19 positive group highlighted the endocrine imbalance in low-severity disease, as first reported here, underscoring the need for further studies in this area.

Image Features and Diagnostic Value of Contrast-Enhanced Ultrasound for Ductal Carcinoma In Situ of the Breast: Preliminary Findings.

To explore the image features and the diagnostic value of contrast-enhanced ultrasound (CEUS) for ductal carcinoma in situ (DCIS) of the breast. A total of 96 female patients with a solitary and histologically proven DCIS were analyzed retrospectively, and 100 female cases of invasive ductal carcinoma (IDC) lesions were used as the control group. The Breast Imaging Reporting and Data System (BI-RADS) category of breast lesions was assessed according to conventional ultrasound features. The DCIS lesions were classified into mass type and non-mass type. The CEUS characteristics of these breast lesions were retrospectively analyzed qualitatively and quantitatively. The final gold standard was biopsy or surgery with histo-pathological examination. Comparing the ultrasound images of DCIS with that of IDC, there were significant differences in echo pattern, calcification morphology, and calcification distribution (p < .05 for all). There was a significant difference between DCIS and IDC in enhancement intensity, perfusion defects, peripheral high enhancement, intratumoral vessels, and arrival time (AT) (p < .05 for all). In the logistic multivariate regression analysis, two indicators linked with DCIS were recognized: perfusion defects (p = .002) and peripheral high enhancement (p < .001). In forecasting DCIS, the logistic regression equation resulted in an AUC of 0.689, a specificity of 0.720, and a sensitivity of 0.563. CEUS showed differences in enhancement characteristics between DCIS and IDC, with perfusion defects and peripheral high enhancement being associated with DCIS.

Improved patient identification by incorporating symptom severity in deep learning using neuroanatomic images in first episode schizophrenia.

Brain alterations associated with illness severity in schizophrenia remain poorly understood. Establishing linkages between imaging biomarkers and symptom expression may enhance mechanistic understanding of acute psychotic illness. Constructing models using MRI and clinical features together to maximize model validity may be particularly useful for these purposes. A multi-task deep learning model for standard case/control recognition incorporated with psychosis symptom severity regression was constructed with anatomic MRI collected from 286 patients with drug-naïve first-episode schizophrenia and 330 healthy controls from two datasets, and validated with an independent dataset including 40 first-episode schizophrenia. To evaluate the contribution of regression to the case/control recognition, a single-task classification model was constructed. Performance of unprocessed anatomical images and of predefined imaging features obtained using voxel-based morphometry (VBM) and surface-based morphometry (SBM), were examined and compared. Brain regions contributing to the symptom severity regression and illness identification were identified. Models developed with unprocessed images achieved greater group separation than either VBM or SBM measurements, differentiating schizophrenia patients from healthy controls with a balanced accuracy of 83.0% with sensitivity = 76.1% and specificity = 89.0%. The multi-task model also showed superior performance to single-task classification model without considering clinical symptoms. These findings showed high replication in the site-split validation and external validation analyses. Measurements in parietal, occipital and medial frontal cortex and bilateral cerebellum had the greatest contribution to the multi-task model. Incorporating illness severity regression in pattern recognition algorithms, our study developed an MRI-based model that was of high diagnostic value in acutely ill schizophrenia patients, highlighting clinical relevance of the model.

Systematic Review and Meta-Analysis of Thermal Stress Assessment in Poultry Using Infrared Thermography in Specific Body Areas

Thermal stress is a health and welfare concern in the poultry industry. Poultry have specific thermoregulation strategies for heat stress (i.e., vasodilatation) or cold stress (i.e., vasoconstriction). Infrared thermal (IRT) analysis is a non-invasive temperature assessment technology with significant benefits compared to conventional temperature measurements, which are invasive and time-consuming. However, a wide range of IRT methodologies and equipment are used for temperature assessment in poultry. The aim of this study was to perform a systematic review and meta-analysis of IRT applications in poultry undergoing thermal stress. The bibliographic search yielded 17 records for qualitative synthesis and 10 for quantitative analysis. The results showed IRT is more commonly studied during heat stress than cold stress, and more research is being conducted on laying hens than other poultry species. Also, four body areas (parts of the head, body, face, and leg) were identified as common areas of interest for body surface temperature measurement. There is a clear thermoregulation response to thermal stress in poultry, with marked differences between featherless and feather-covered areas. IRT in poultry undergoing thermal stress has a good diagnostic value and represents an important welfare assessment tool for future research, particularly when combined with other welfare assessment methods.

Application value of strain elastography and shear wave elastography in patients with type 2 diabetic peripheral neuropathy: a prospective observational study.

To evaluate the value of conventional ultrasound (US), strain elastography (SE), and shear wave elastography (SWE) in detecting diabetic peripheral neuropathy (DPN) of the tibial nerve (TN), and to establish a predictive model for the diagnosis of DPN. 32 healthy participants, 34 diabetic patients without DPN, and 36 diabetic patients with DPN were recruited for this study. The TN at the ankle and popliteal fossa were selected for examination. US was used to measure the cross-sectional area (CSA) and perimeter of the TN. Additionally, SE was employed to measure the strain ratio (SR) between the TN and the surrounding adipose tissue, and SWE was used to measure the Shear Wave Velocity (SWV) of the TN. The CSA, perimeter, SR and SWV of the TN at the ankle were significantly higher in the DPN group compared to both the Non-DPN group and control group (P < 0.05). Similarly, the TN at the popliteal fossa showed these differences. At the ankle, the CSA, perimeter, SR, and SWV of the TN in patients without DPN were significantly higher than those in the control group (P < 0.05). At the popliteal fossa, the SR and SWV of the TN in patients without DPN were significantly higher than those in the control group (P < 0.05). However, the CSA and perimeter of the TN in patients without DPN did not show a statistically significant difference compared to the control group. The area under the curve (AUC) for the diagnosis of DPN using SWE is significantly greater than that of SE and US. US, SE, and SWE could be used to diagnose DPN, and they also have good diagnostic value for sub-clinical DPN. Among these methods, SWE has demonstrated superior diagnostic efficacy. Compared to examining the TN in the popliteal fossa, the ankle level offers a better site for examination. For diabetic peripheral neuropathy, US, SE, and SWE are all promising diagnostic methods with high clinical utility.

Can New Advanced Clinical Parameters Be Used in the Diagnosis of Vitamin B12 Deficiency?

The measurement of vitamin B12 levels has low sensitivity for the diagnosis of vitamin B12 deficiency, therefore, clinicians may prefer to decide the deficiency with the patient's clinic. In this study, the diagnostic values of the classical and advanced clinical complete blood count parameters were investigated to find a new marker in the diagnosis of vitamin B12 deficiency. 150 adult volunteers were included in the study and volunteers were divided into two groups according to their vitamin B12 levels (with or without vitamin B12 deficiency) and hemoglobin levels (with or without anemia). The differences and correlations of laboratory test results between groups were examined. Equivalent of reticulocyte hemoglobin, equivalent of erythrocyte hemoglobin and delta-hemoglobin were found significant differences between groups with or without vitamin B12 deficiency. Hypo-hemoglobinised red cells and hyper-hemoglobinised red cells were found significant difference between groups with or without anemia. Significant positive correlations were found between vitamin B12 levels and equivalent of reticulocyte hemoglobin, equivalent of erythrocyte hemoglobin and delta-hemoglobin. Significant positive correlations were found between hemoglobin levels and macrocytic red blood cells, equivalent of reticulocyte hemoglobin, equivalent of erythrocyte hemoglobin, delta hemoglobin and hyper-hemoglobinised red cells; negative correlations with microcytic red blood cells and hypo-hemoglobinised red cells. It is suggested that these advanced clinical parameters of complete blood count analysis may be used to determine vitamin B12 deficiency.

The levels and clinical significance of serum miR-146a, miR-145, Th17/Treg in children with respiratory syncytial virus infection pneumonia

To investigate the levels and clinical significance of serum microRNA (miR)-146a, miR-145, T-helpertype17 (Th17)/regulatory T cell (Treg) in children with respiratory syncytial virus (RSV) infectious pneumonia. The clinical data of 200 children with RSV infectious pneumonia admitted to Nantong Maternal and Child Health Hospital from June 2020 to June 2023 were retrospectively collected as the study group. At the same time, 200 children with mycoplasma pneumonia were selected as the common pneumonia group and 200 healthy children were selected as the healthy group. The levels of serum inflammatory factors [interleukin-6 (IL-6), interferon-γ (IFN-γ), tumor necrosis factor-α (TNF-α)] were detected by enzyme-linked immunosorbent assay. The expression levels of serum miR-146a and miR-145 were detected by RT-qPCR. The levels of Th17/Treg were detected by flow cytometry. The levels of miR-146a, miR-145, Th17/Treg and serum inflammatory factors were compared among the three groups. Pearson method was used to analyze the correlation between miR-146a, miR-145, Th17/Treg and serum inflammatory factors in children with RSV infectious pneumonia. The receiver operating characteristic (ROC) curve was drawn to analyze the diagnostic value of miR-146a, miR-145, Th17/Treg in children with respiratory syncytial virus infection pneumonia. The results showed that in the study group, miR-146a (2.01±0.58), miR-145 (1.81±0.46), Th17/Treg (1.09±0.31), IL-6 (7.82±2.11) ng/L and TNF-α (9.82±2.96) ng/L were higher than those in the common pneumonia group miR-146a (1.49±0.42), miR-145 (1.43±0.31), Th17/Treg (0.77±0.24), IL-6 (5.89±1.32) ng/L, TNF-α (7.34±2.32) ng/L and healthy group miR-146a (1.25±0.19), miR-145 (1.19±0.16), Th17/Treg (0.38±0.09), IL-6 (4.52±1.04) ng/L, TNF-α (5.39±1.07)ng/L. The levels of the above indexes in the common pneumonia group were higher than those in the healthy group, and the differences were statistically significant (F=183.543, 175.938, 617.182, 226.657, 193.459, P<0.05). In the study group, IFN-γ (14.18±3.25) pg/ml was lower than that in the control group (19.52±5.13) pg/ml, but higher than that in the healthy group (9.77±2.40) pg/ml, and the difference was statistically significant (F=335.432, P<0.05). Pearson correlation analysis showed that miR-146a, miR-145 and Th17/Treg were positively correlated with IL-6 and TNF-α (P<0.05), but negatively correlated with IFN-γ (P<0.05). ROC curve results showed that the area under the curve (AUC) of miR-146a, miR-145 and Th17/Treg in the diagnosis of RSV infectious pneumonia was 0.767, 0.762 and 0.790, respectively, while the combined detection of the three was 0.904. In conclusion, the levels of miR-146a, miR-145 and Th17/Treg are highly expressed in children with RSV infectious pneumonia, and are closely related to the inflammatory response of children. The combined detection of the three may have certain application value in the auxiliary diagnosis of RSV infectious pneumonia.

Diagnostic value of systematic compression ultrasonography for the detection of unrecognized venous thromboembolism in patients admitted to an internal medicine ward for dyspnea.

The diagnosis of venous thromboembolism (VTE) is complex, and many cases of pulmonary embolism (PE) and deep vein thrombosis (DVT) go undetected despite validated diagnostic algorithms. This study evaluated the diagnostic performance of compression ultrasound (CUS) when systematically performed in patients admitted to an internal medicine department for dyspnea and/or respiratory failure. We conducted a prospective observational cohort study of consecutive adult hospitalized patients admitted for dyspnea and/or respiratory failure with at least one of the following: tachycardia (> 100bpm), tachypnea (> 20/min), chest pain, cough, syncope, or hemoptysis. Patients with a previous diagnosis of VTE or who underwent computed tomography pulmonary angiography (CTPA) or CUS during evaluation in the emergency department were excluded. The study included 263 patients (50.2% women, average age 84years). CUS was positive in 31 patients (11.8%); Bilateral DVT was diagnosed in two patients and unilateral DVT in 29 patients. Of these, 10 underwent CT scan, with PE confirmed in 9 cases. Using the Wells score for DVT (cut-off ≥ 2), only 8 patients (25.8%) were at high risk. The accuracy of the Wells score in identifying PE was suboptimal, as 5 of 9 patients (55.5%) with confirmed PE were in the low-risk group (three-level interpretation) and 8 (89.9%) were in the "EP unlikely" group (two-level interpretation). The systematic use of CUS as a point-of-care tool can improve the diagnostic accuracy for VTE in patients admitted to internal medicine departments with dyspnea/respiratory failure.

Potential diagnostic markers and therapeutic targets for non-alcoholic fatty liver disease and ulcerative colitis based on bioinformatics analysis and machine learning

BackgroundNon-alcoholic fatty liver disease (NAFLD) and ulcerative colitis (UC) are two common health issues that have gained significant global attention. Previous studies have suggested a possible connection between NAFLD and UC, but the underlying pathophysiology remains unclear. This study investigates common genes, underlying pathogenesis mechanisms, identification of diagnostic markers applicable to both conditions, and exploration of potential therapeutic targets shared by NAFLD and UC.MethodsWe obtained datasets for NAFLD and UC from the GEO database. The DEGs in the GSE89632 dataset of the NAFLD and GSE87466 of the UC dataset were analyzed. WGCNA, a powerful tool for identifying modules of highly correlated genes, was employed for both datasets. The DEGs of NAFLD and UC and the modular genes were then intersected to obtain shared genes. Functional enrichment analysis was conducted on these shared genes. Next, we utilize the STRING database to establish a PPI network. To enhance visualization, we employ Cytoscape software. Subsequently, the Cytohubba algorithm within Cytoscape was used to identify central genes. Diagnostic biomarkers were initially screened using LASSO regression and SVM methods. The diagnostic value of ROC curve analysis was assessed to detect diagnostic genes in both training and validation sets for NAFLD and UC. A nomogram was also developed to evaluate diagnostic efficacy. Additionally, we used the CIBERSORT algorithm to explore immune infiltration patterns in both NAFLD and UC samples. Finally, we investigated the correlation between hub gene expression, diagnostic gene expression, and immune infiltration levels.ResultsWe identified 34 shared genes that were found to be associated with both NAFLD and UC. These genes were subjected to enrichment analysis, which revealed significant enrichment in several pathways, including the IL-17 signaling pathway, Rheumatoid arthritis, and Chagas disease. One optimal candidate gene was selected through LASSO regression and SVM: CCL2. The ROC curve confirmed the presence of CCL2 in both the NAFLD and UC training sets and other validation sets. This finding was further validated using a nomogram in the validation set. Additionally, the expression levels of CCL2 for NAFLD and UC showed a significant correlation with immune cell infiltration.ConclusionThis study identified a gene (CCL2) as a biomarker for NAFLD and UC, which may actively participate in the progression of NAFLD and UC. This discovery holds significant implications for understanding the progression of these diseases and potentially developing more effective diagnostic and treatment strategies.

Usefulness of decision tree analysis of MRI features for diagnosis of placenta accreta spectrum in cases with placenta previa.

Placenta previa complicated by placenta accrete spectrum (PAS) is a life-threatening obstetrical condition; therefore, preoperative diagnosis of PAS is important to determine adequate management. Although several MRI features that suggest PAS has been reported, the diagnostic importance, as well as optimal use of each feature has not been fully evaluated. The occurrence of 11 PAS-related MRI features was investigated in MR images of 145 patients with placenta previa. The correlation between each MRI feature and pathological diagnosis of PAS was evaluated using univariate analysis. A decision tree model was constructed according to a random forest machine learning model of variable selection. Eight MRI features showed a significant correlation with PAS in univariate analysis. Among these features, placental/uterine bulge and myometrial thinning showed high odds ratios: 138.2 (95% CI: 12.7-1425.6) and 66.0 (95% CI: 18.01-237.1), respectively. A decision tree was constructed based on five selected MRI features: myometrial thinning, placental bulge, serosal hypervascularity, placental ischemic infarction/recess, and intraplacental T2 dark bands. The decision tree predicted the presence of PAS in the randomly assigned validation cohort with significance (p < 0.001). The sensitivity and the specificity of the decision tree for detecting PAS were 90.0% (95%CI: 53.2-98.9) and 95.5% (95%CI: 89.9-96.8), respectively. Among PAS-related MRI features, placental/uterine bulge and myometrial thinning showed high diagnostic values. In addition, the present decision tree model was shown to be effective in predicting the presence of PAS in cases with placenta previa.

Cystatin C: factors affecting diagnostic and prognostic value in acute kidney injury

The level of serum and urinary cystatin C (CysC) can be modulated by some factors (weight, gender, age, ethnicity, smoking), diseases (sepsis, cardiovascular disease, diabetes mellitus, metabolic syndrome, obesity, hypo- and hyperthyroidism) as well as administration of glucocorticosteroids, but all of them do not affect its prognostic and diagnostic value in acute kidney injury (AKI). The CysC concentration can predict adverse outcomes, such as in-hospital and out-hospital mortality, chronicity of renal dysfunction, the demand and duration of renal replacement therapy (RRT). The sCysC is an independent predictor of RRT completion in critically ill AKI patients.

Comparative assessment of the most important markers of equine myopathy in connection with creatine kinase activity

Purpose: to assess the activity of AST, LDH and HBDH enzymes in relation to different levels of total creatine phosphokinase activity to understand the degree of their diagnostic value in determining the severity of myopathy in horses.Materials and methods. For the study, statistical processing of a data array of the results of a biochemical study of blood serum from 247 horses was carried out. Taking into account the reference intervals of CPK activity, all results were ranked by increasing creatine phosphokinase activity and divided into four groups. In each group, the average values for AST, LDH and HBDH were calculated, and the degree of significance of intergroup differences was calculated using the Student's t test. The correlation between the activity of the enzymes AST, LDH and HBDH with the activity of CPK in each group was also assessed.Results. An increase in the activity of creatine phosphokinase in horses by 59,4—409,6 % is accompanied by an increase in the activity of the enzymes AST by 14,5—77,2 %, LDH by 17,8—33,0 % and HBDH by 17,1—27,1 %. When comparing Pearson's correlation coefficients across the entire study sample, a significant direct relationship is determined between CPK and AST and a moderate direct relationship when comparing CPK with LDH and HBDH. Calculation of the Pearson coefficient in each of the studied groups showed different degrees of correlation between the creatine phosphokinase indicator and other enzymes, but in all cases positive. A study of the percentage contribution of HBDH to the total lactate dehydrogenase activity showed an inversely proportional relationship with respect to the activity of creatine phosphokinase, which indicates massive muscle damage with switching energy metabolism in them.Conclusion. The conducted studies made it possible to more deeply understand the cause-and-effect relationships of changes in the activity of enzymes that are specific to muscle tissue in connection with the severity of myopathy. The data obtained can assist veterinary specialists in analyzing the results of biochemical blood tests in horses.

Diagnostic and prognostic value of plasma lipocalin-2 levels in patients with metabolic dysfunction–associated steatotic liver disease

Abstract Background Non-Alcoholic Fatty Liver Disease, recently better recognised as Metabolic Dysfunction–Associated Steatotic Liver Disease, is the most prevalent form of chronic liver disease at present time. It is estimated to impact 32% of the world's population, hence representing a significant health burden. Aim of the work To assess the significance of plasma Lipocalin-2 (LCN2) levels in the diagnosis and prognosis of NAFLD patients. Patients and methods In this retrospective case–control study we recruited 102 subjects aged between 18 and 70 years. The included participants were split into two study groups. Group I: 51 NAFLD patients (61% men, 39% females) and Group II: 51 healthy controls (51% men and 49% females), for whom plasma LCN2 levels were assessed and correlated with NAFLD fibrosis score, FIB4 and fatty liver index. Results In this study, LCN2 levels in NAFLD patients were significantly greater compared to individuals in the control group (p &lt; 0.001), with a mean of 1893.214 ± 1002.852 ng/dL in the cases and a mean of 466.020 ± 397.699 ng/dL in the controls. This suggests the use of LCN2 as a possible diagnostic marker of NAFLD. The mean LCN2 levels in this study also significantly increased as the grade of fatty liver increased from I to III (p &lt; 0.001). This in turn proposes the use of LCN2 as a prognostic marker for NAFLD progression. LCN2 also significantly correlated with the fatty liver index and NAFLD Fibrosis scoring systems, but not with Fib-4. With an area under the ROC of 0.906, it demonstrated excellent diagnostic performance with 84% sensitivity, 90% specificity, 89.6% PPV and 85.2% NPV for the prediction of NAFLD patients. Conclusion Lipocalin-2 performs as a diagnostic and a possible prognostic marker for metabolic dysfunction-associated steatotic liver disease.

Seroprevalence and prognostic value of Aspergillus-specific IgG among non-neutropenic invasive pulmonary aspergillosis patients: a prospective multicenter study

BackgroundThis study aimed to assess the diagnostic and prognostic value of Aspergillus-specific IgG (Asp-IgG) for invasive pulmonary aspergillosis (IPA) in non-neutropenic non-hematologic patients.MethodsBetween November 2019 and February 2022, we recruited 40 non-neutropenic, non-hematologic IPA patients from Taiwan and measured serum Asp-IgG levels using Phadia, Thermofisher. A positive Asp-IgG test was defined as a level > 40 mgA/L. We evaluated the association between Asp-IgG levels and overall survival, as well 90-day mortality rate of IPA patients.ResultsOf the 40 participants, 11 (27.5%) tested positive for Asp-IgG, while 16 (40%) had positive galactomannan antigen (optical density > 1). Higher Asp-IgG levels were associated with improved overall survival (HR: 0.22, 95% CI: 0.05–0.99, p = 0.035) in multivariable Cox regression. The overall 90-day mortality rate was 65% (26/40). We found that patients with low Asp-IgG levels (≤ 40 mgA/L) had a borderline higher 90-day mortality rate compared to patients with high Asp-IgG levels (OR: 3.15, 95% CI: 0.75–13.28, p = 0.118). Stratifying by serum galactomannan and Aspergillus IgG levels, patients with elevated serum GM and low Asp-IgG had the highest 90-day mortality (80%, 8/10), followed by patients with low serum GM and low Asp-IgG (68.4%, 13/19).ConclusionsAsp-IgG was positive in approximately one-fourth of non-neutropenic IPA patients. Asp-IgG may hold potential as a clinical prognostic factor for IPA. Further studies are required to validate this finding.

Spondylodiscitis of the thoraco-lumbar spine: diagnostic performance of dual-energy CT vs MRI.

Dual-energy computed tomography (DECT) could combine the high-resolution bone window images made available by multi-detector CT technology with its capability to identify bone marrow edema (BME) in the spine, for diagnosing spondylodiscitis. Our objective was to compare the diagnostic performance of contrast-enhanced MRI and non-contrast DECT to identify spondylodiscitis of the thoraco-lumbar spine. This prospective study included 77 consecutive participants (39 males; mean age of 61) who underwent DECT and MRI (within 7 days) between January 2020 and October 2023. DECT data were post-processed on a dedicated offline workstation (SyngoVia® VB20) by using a three-material decomposition algorithm. Four radiologists, blinded to clinical data, evaluated non-contrast DECT and contrast-enhanced MRI images. The diagnosis of spondylodiscitis was based on vertebral edema, disc edema, endplate erosions, and paraspinal involvement. Diagnostic accuracy values were calculated by using biopsy as a standard of reference. A multi-reader multi-case analysis was performed. Biopsy revealed a diagnosis of spondylodiscitis in 46 patients (60%). Thoracic and lumbar spondylodiscitis were diagnosed in 37/46 (80%) and 9/46 (20%) patients, respectively. DECT and MRI overall sensitivity, specificity, and AUC were 0.91, 0.89, and 0.90, and 0.94, 0.93, and 0.93, respectively. At lumbar and thoracic levels, the difference between AUC values between DECT and MRI was not significant (p = 0.15). For DECT and MRI, a very good inter-reader agreement was achieved (k = 0.90 and k = 0.97, respectively). Contrast-enhanced MRI represents the most accurate imaging tool for the diagnosis of spondylodiscitis. However, only a non-significant drop in diagnostic performance was achieved by evaluating non-contrast DECT images. Question To compare the diagnostic performance of contrast-enhanced MRI and non-contrast DECT for identifying spondylodiscitis of the thoraco-lumbar spine. Findings MRI was not significantly superior compared to DECT in diagnosing spondylodiscitis, whereas the inter-reader agreement was near perfect for both MRI and DECT. Clinical relevance DECT represents a fast and accurate imaging tool for the demonstration of BME, erosions, and peri-vertebral inflammation in thoraco-lumbar spondylodiscitis.

The role of lncRNA TSIX in osteoarthritis pathogenesis: mechanistic insights and clinical biomarker potential

BackgroundThis study seeks to elucidate the expressions of lncRNA TSIX in Osteoarthritis (OA) and to explore its mechanisms in regulating OA progression.MethodsRT-qPCR was employed to analyze the expression of TSIX in OA patients classified by Kellgren-Lawrence (K-L) grades. Receiver operator characteristic (ROC) was conducted to evaluate the diagnostic value of TSIX. Correlation between TSIX levels and clinical scores such as Lysholm and visual analogue scale (VAS) score was evaluated using Pearson method. IL-1β-induced SW1353 cells served as an in vitro model. The cell function were assessed by flow cytometry and cell counting kit-8 (CCK-8) assay. The relationship between TSIX and miR-320a was verified by luciferase reporting system, while bioinformatics approaches were utilized to predict the downstream target genes of miR-320a.ResultsThe findings revealed that TSIX level in OA patients was elevated compared to that of the control group, with a notable progressive increase in TSIX expression correlated with higher K-L grades. In OA patients, the Lysholm score showed a negative correlation with TSIX expression, while the VAS score displayed a positive correlation with TSIX levels. Cell studies demonstrated that inhibition of TSIX enhanced cell viability and mitigated IL-1β-induced apoptosis by targeting miR-320a, in addition to promoting Aggrecan and Collagen II secretion. Luciferase reporter assay further validated the targeting interaction among TSIX, miR-320a, and PTEN.ConclusionsThis study demonstrated an increased expression of TSIX in OA patients. It suggests that TSIX may play a role in chondrocyte dysfunction during OA by modulating the miR-320a/PTEN axis.