Diagnostic accuracy of endoscopic ultrasonographic shear wave elastography for assessing early chronic pancreatitis using the Japanese diagnostic criteria 2019.

Background and Aim: Endoscopic ultrasound shear wave elastography (EUS-SWE) can facilitate an objective evaluation of pancreatic fibrosis. Although it is primarily applied in evaluating chronic pancreatitis, its efficacy in assessing early chronic pancreatitis (ECP) remains underinvestigated. This study evaluated the diagnostic accuracy of EUS-SWE for assessing ECP diagnosed using the Japanese diagnostic criteria 2019. Methods: In total, 657 patients underwent EUS-SWE. Propensity score matching was used, and the participants were classified into the ECP and normal groups. ECP was diagnosed using the Japanese diagnostic criteria 2019. Pancreatic stiffness was assessed based on velocity (Vs) on EUS-SWE, and the optimal Vs cutoff value for ECP diagnosis was determined. A practical shear wave Vs value of ≥50% was considered significant. Results: Each group included 22 patients. The ECP group had higher pancreatic stiffness than the normal group (2.31 ± 0.67 m/s vs. 1.59 ± 0.40 m/s, p < 0.001). The Vs cutoff value for the diagnostic accuracy of ECP, as determined using the receiver operating characteristic curve, was 2.24m/s, with an area under the curve of 0.82 (95% confidence interval: 0.69-0.94). A high Vs was strongly correlated with the number of EUS findings (rs = 0.626, p < 0.001). Multiple regression analysis revealed that a history of acute pancreatitis and ≥2 EUS findings were independent predictors of a high Vs. Conclusions: There is a strong correlation between EUS-SWE findings and the Japanese diagnostic criteria 2019 for ECP. Hence, EUS-SWE can be an objective and invaluable diagnostic tool for ECP diagnosis.

The Role of ArtificiaI Intelligence in Brain Tumor Diagnosis: An Evaluation of a Machine Learning Model.

This research study explores of the effectiveness of a machine learning image classification model in the accurate identification of various types of brain tumors. The types of tumors under consideration in this study are gliomas, meningiomas, and pituitary tumors. These are some of the most common types of brain tumors and pose significant challenges in terms of accurate diagnosis and treatment. The machine learning model that is the focus of this study is built on the Google Teachable Machine platform (Alphabet Inc., Mountain View, CA). The Google Teachable Machine is a machine learning image classification platform that is built from Tensorflow, a popular open-source platform for machine learning. The Google Teachable Machine model was specifically evaluated for its ability to differentiate between normal brains and the aforementioned types of tumors in MRI images. MRI images are a common tool in the diagnosis of brain tumors, but the challenge lies in the accurate classification of the tumors. This is where the machine learning model comes into play. The model is trained to recognize patterns in the MRI images that correspond to the different types of tumors. The performance of the machine learning model was assessed using several metrics. These include precision, recall, and F1 score. These metrics were generated from a confusion matrix analysis and performance graphs. A confusion matrix is a table that is often used to describe the performance of a classification model. Precision is a measure of the model's ability to correctly identify positive instances among all instances it identified as positive. Recall, on the other hand, measures the model's ability to correctly identify positive instances among all actual positive instances. The F1 score is a measure that combines precision and recall providing a single metric for model performance. The results of the study were promising. The Google Teachable Machine model demonstrated high performance, with accuracy, precision, recall, and F1 scores ranging between 0.84 and 1.00. This suggests that the model is highly effective in accurately classifying the different types of brain tumors. This study provides insights into the potential of machine learning models in the accurate classification of brain tumors. The findings of this study lay the groundwork for further research in this area and have implications for the diagnosis and treatment of brain tumors. The study also highlights the potential of machine learning in enhancing the field of medical imaging and diagnosis. With the increasing complexity and volume of medical data, machine learning models like the one evaluated in this study could play a crucial role in improving the accuracy and efficiency of diagnoses. Furthermore, the study underscores the importance of continued research and development in this field to further refine these models and overcome any potential limitations or challenges. Overall, the study contributes to the field of medical imaging and machine learning and sets the stage for future research and advancements in this area.

Association of Genomic Prostate Score at positive margin with recurrence after radical prostatectomy.

OBJECTIVES: To evaluate the utility of the 17-gene Genomic Prostate Score® (GPS; MDxHealth, Irvine, CA, USA) performed on prostate cancer at the positive margin of the radical prostatectomy (RP) for its association with risk of subsequent biochemical recurrence (BCR). PATIENTS AND METHODS: We designed a case-cohort for the outcome of BCR, selecting 223 from a cohort of 813 RP patients treated at Johns Hopkins from 2008 to 2017 with positive margins and available clinical data; of these, 213 had available tissue and clinical data. RNA was isolated from formalin-fixed paraffin-embedded tumour tissue adjacent to the positive surgical margin and the GPS was evaluable in 203 of these patients with a score ranging from 0 to 100, with higher scores indicating higher risk. All patients underwent RP with or without adjuvant radiation therapy (ART). The statistical analysis employed Cox proportional hazards regression models for outcome of BCR weighted for case-cohort design. RESULTS: In univariable analysis, every 20-unit increase in the GPS was associated with a nearly threefold increase in risk of BCR (hazard ratio [HR] per 20 units 2.82, P < 0.001). In a multivariable Cox model adjusted for age, race, Cancer of the Prostate Risk Assessment Postsurgical score, Grade Group at the positive margin, and ART, the GPS was significantly associated with BCR (HR 1.56 per 20 units; 95% confidence interval 1.11-2.19; P = 0.011). The study is limited by its retrospective and single institution design. CONCLUSIONS: The GPS at the positive surgical margin could help stratify prognosis and inform clinical decision-making regarding adjuvant therapy after RP.

Efficacy of Ustekinumab and Vedolizumab Among Postoperative Crohn's Disease Patients as Postoperative Prophylaxis and Rescue Therapy: Real-world Data.

BACKGROUND: Almost half of patients with Crohn's disease (CD) require bowel surgeries in their lifetime. Due to the high risk of postoperative disease recurrence and high rate of previous antitumor necrosis factor (anti-TNF) failure, often alternative therapy options such as ustekinumab (UST) and vedolizumab (VDZ) are used. We aimed to evaluate the efficacy of UST and VDZ among postoperative CD patients as postoperative prophylaxis and rescue therapy. METHODS: Consented CD patients who underwent initial ileocecal resection and were treated with UST and VDZ were included in this study. Demographics, clinical characteristics, health care utilization, endoscopy scores, and surgery outcomes were collected. Postoperative early CD recurrence was defined as a Rutgeerts endoscopic score ≥i2 within the first 2 years. The rescue therapy group was defined as patients who received either UST or VDZ after having Rutgeerts endoscopic score ≥i2 postoperatively. RESULTS: During 2009 to 2019, 98 CD patients were treated with UST or VDZ postoperatively. Postoperative early recurrence rates were 5% (n = 1 out of 20) and 6% (1 out of 15) for the UST and VDZ groups, respectively. Two patients from the UST group and 1 patient from the VDZ group required bowel surgery during follow-up with median drug exposure of 51 (95% confidence interval [CI], 29-61) and 30 (95% CI, 14-63) months, respectively; 55% and 69% of patients had at least 1 point of improvement on postoperative endoscopic Rutgeerts score, respectively, for UST and VDZ. Only 3 out of 40 and 1 out of 23 patients required bowel surgery during follow-up while receiving UST and VDZ as rescue therapy. CONCLUSIONS: Both UST and VDZ were effective as postoperative therapies either as prophylaxis or rescue therapy.

This retrospective 11-year data examines the efficacy of ustekinumab and vedolizumab among postoperative Crohn's disease patients. When utilizing postoperative Rutgeerts score, this study confirms that both ustekinumab and vedolizumab were effective as postoperative therapies either as prophylaxis or rescue therapy.

Lenvatinib radiofrequency ablation sequential therapy offers survival benefits for patients with unresectable hepatocellular carcinoma at intermediate stage and the liver reserve of Child-Pugh A category: A multicenter study.

AIM: This study aims to evaluate the efficacy and safety of lenvatinib radiofrequency ablation (RFA) sequential therapy for certain hepatocellular carcinoma (HCC) patients. METHODS: One hundred and nineteen patients with unresectable HCC in the intermediate stage with Child-Pugh A were retrospectively recruited in a multicenter setting. Those in the lenvatinib RFA sequential therapy group received lenvatinib initially, followed by RFA and the retreatment with lenvatinib. The study compared overall survival (OS), progression-free survival (PFS), tumor response, and adverse events (AEs) between patients undergoing sequential therapy and lenvatinib monotherapy. RESULTS: After propensity score matching, 25 patients on sequential therapy and 50 on monotherapy were evaluated. Independent factors influencing OS were identified as sequential therapy, modified albumin-bilirubin (mALBI) grade, and relative dose intensity (%) with hazard ratios (HRs) of 0.381 (95% confidence interval [CI], 0.186-0.782), 2.220 (95% CI, 1.410-3.493), and 0.982 (95% CI, 0.966-0.999), respectively. Stratified analysis based on mALBI grades confirmed the independent influence of treatment strategy across all mALBI grades for OS (HR, 0.376; 95% CI, 0.176-0.804). Furthermore, sequential therapy was identified as an independent factor of PFS (HR, 0.382; 95% CI, 0.215-0.678). Sequential therapy significantly outperformed monotherapy on survival benefits (OS: 38.27 vs. 18.96 months for sequential therapy and monotherapy, respectively, p = 0.004; PFS: 13.80 vs. 5.32 months for sequential therapy and monotherapy, respectively, p < 0.001). Sequential therapy was significantly associated with complete response by modified Response Evaluation Criteria in Solid Tumors (odds ratio, 63.089). Ten of 119 patients experienced grade 3 AEs, with no AE beyond grade 3 observed. CONCLUSION: Lenvatinib RFA sequential therapy might offer favorable tolerability and potential prognostic improvement compared to lenvatinib monotherapy.

Comparison of Mitral Valve Repair Versus Percutaneous Mitral Balloon Commissurotomy for Patients With Rheumatic Heart Disease: A Single-Centre Study.

BACKGROUND: Percutaneous mitral balloon commissurotomy (PMBC) is the standard treatment option for patients with rheumatic mitral stenosis (MS), according to current guidelines. This study aimed to compare the outcomes of rheumatic mitral valve repair (rMVR) and PMBC in this patient population. METHODS: Baseline, clinical, and follow-up data from 703 patients with rheumatic heart disease who underwent PMBC or rMVR at the current centre were collected and analysed. A 1:1 propensity score (PS) matching method was used to balance the differences in baseline characteristics between the two groups. The primary outcome was mitral valve reoperation, and the secondary outcome was all-cause mortality. RESULTS: Propensity score matching generated 101 patient pairs for comparison. In the matched population, there were no significant differences in the early clinical outcomes between the groups. The median follow-up time was 40.9 months. Overall, patients in the rMVR group had a statistically significantly lower risk of mitral valve reoperation than those in the PMBC group (HR 0.186; 95% CI 0.041-0.835; p=0.028). Regarding all-cause mortality, no statistically significant differences were observed between the rMVR and PMBC groups (HR 4.065; 95% CI 0.454-36.374; p=0.210). CONCLUSIONS: Compared with PMBC, rMVR has more advantages for the correction of valve lesions; therefore, it may offer a better prognosis than PMBC in select patients with rheumatic MS. However, this finding needs to be verified in future studies with larger sample sizes and longer follow-up periods.

Risk factors of death or chronic renal replacement therapy requirements in patients with thrombotic microangiopathies without ADAMTS-13 deficiency.

Thrombotic microangiopathy (TMA), characterized by microangiopathic hemolytic anemia, thrombocytopenia, and multisystem organ dysfunction, is a life-threatening disease. Patients with TMA who do not exhibit a severe ADAMTS-13 deficiency (defined as a disintegrin-like and metalloprotease with thrombospondin type 1 motif no. 13 activity ≥10%: TMA-13n) continue to experience elevated mortality rates. This study explores the prognostic indicators for augmented mortality risk or necessitating chronic renal replacement therapy (composite outcome: CO) in TMA-13n patients. We included 42 TMA-13n patients from January 2008 to May 2018. Median age of 41 years and 60% were female. At presentation, 62% required dialysis, and 57% warranted intensive care unit admission. CO was observed in 45% of patients, including a 9-patient mortality subset. Multivariate logistic regression revealed three independent prognostic factors for CO: early administration of eculizumab (median time from hospitalization to eculizumab initiation: 5 days, range 0-19 days; odds ratio [OR], 0.14; 95% confidence interval [CI], 0.02-0.94), presence of neuroradiological lesions (OR, 6.67; 95% CI, 1.12-39.80), and a PLASMIC score ≤4 (OR, 7.39; 95% CI, 1.18-46.11). In conclusion, TMA-13n patients exhibit a heightened risk of CO in the presence of low PLASMIC scores and neuroradiological lesions, while early eculizumab therapy was the only protective factor.

Genetic and environmental determinants of bone quality: a cross-sectional analysis of the Hungarian Twin Registry.

There is abundant evidence that bone mineral content is highly heritable, while the heritability of bone quality (i.e. trabecular bone score [TBS] and quantitative ultrasound index [QUI]) is rarely investigated. We aimed to disentangle the role of genetic, shared and unique environmental factors on TBS and QUI among Hungarian twins. Our study includes 82 twin (48 monozygotic, 33 same-sex dizygotic) pairs from the Hungarian Twin Registry. TBS was determined by DXA, QUI by calcaneal bone ultrasound. To estimate the genetic and environmental effects, we utilized ACE-variance decomposition. For the unadjusted model of TBS, an AE model provided the best fit with > 80% additive genetic heritability. Adjustment for age, sex, BMI and smoking status improved model fit with 48.0% of total variance explained by independent variables. Furthermore, there was a strong dominant genetic effect (73.7%). In contrast, unadjusted and adjusted models for QUI showed an AE structure. Adjustments improved model fit and 25.7% of the total variance was explained by independent variables. Altogether 70-90% of the variance in QUI was related to additive genetic influences. We found a strong genetic heritability of bone quality in unadjusted models. Half of the variance of TBS was explained by age, sex and BMI. Furthermore, the adjusted model suggested that the genetic component of TBS could be dominant or an epistasis could be present. In contrast, independent variables explained only a quarter of the variance of QUI and the additive heritability explained more than half of all the variance.

Efficacy of communicating periodontal risk on psychological outcomes and supragingival plaque control in patients undergoing first periodontal consultation: A parallel-arm, randomized trial.

AIM: To evaluate the efficacy of the PerioRisk prognostic tool in implementing the effect of motivational interviewing (MI) on psychological outcomes and supragingival plaque control. MATERIALS AND METHODS: Participants underwent MI immediately after their first periodontal visit. According to a parallel-arm, randomized study design, MI was performed with (RISK group) or without (CTR group) information on PerioRisk level and treatment goals based on PerioRisk output. Psychological outcomes were assessed using the Positive Affect Negative Affect Scale (PANAS) and Protection Motivation Theory (PMT). Plaque index (PI) was re-evaluated after 8-12 weeks. RESULTS: Significant improvements in PMT overall score and PI were observed in CTR and RISK groups, without inter-group difference in PANAS and PMT overall scores and PI. A sub-analysis showed that the overall PMT scores recorded immediately after MI in both CTR and RISK groups for subjects with no tooth loss due to periodontitis were higher than those recorded before MI in subjects with tooth loss due to periodontitis. CONCLUSIONS: At first periodontal visit, MI (implemented with without PerioRisk) has tangible effects on psychological outcomes and supragingival plaque control and seems to anticipate the awareness that is commonly generated by periodontitis-related tooth loss (ClinicalTrials.gov protocol registration ID: NCT05078411).

Prognostic significance of hemoglobin, albumin, lymphocyte, and platelet (HALP) score in breast cancer: a propensity score-matching study.

BACKGROUND: The hemoglobin-albumin-lymphocyte-platelet (HALP) score functions as a comprehensive index that assesses the systemic inflammatory response, nutritional, and immune status. This study aimed to explore the relationship between preoperative HALP score and the prognosis of BC patients and to develop predictive nomograms. METHODS: Clinicopathological data were collected for BC patients who underwent mastectomy between December 2010 and April 2014 from Sun Yat-sen University Cancer Center. The optimal cutoff value for HALP was determined by maximally selected rank statistics for overall survival data. Propensity score matching (PSM) was applied to develop comparable cohorts of high-HALP group and low-HALP group. Kaplan-Meier curves and Cox regression analyses were performed to determine the impact of HALP on BC patients. Prognostic nomograms were developed based on the multivariate Cox regression method. Then, the concordance index (C-index), calibration plots, and decision curves analysis (DCA) were applied to evaluate the prognostic performance of the nomograms. RESULTS: A total of 1,856 patients were included as the primary cohort, and 1,470 patients were matched and considered as the PSM cohort. In the primary cohort, the 5-year overall survival (OS) and progression-free survival (PFS) rates for high-HALP group (≥ 47.89) and low-HALP group (< 47.89) were 94.4% vs. 91.0% (P = 0.005) and 87.8% vs. 82.1% (P = 0.005), respectively. Similar results were observed in PSM cohort (5-year OS, 94.3% vs. 90.8%, P = 0.015; 5-year PFS, 87.5% vs. 83.2%, P = 0.036). Notably, multivariate Cox regression analysis in the PSM cohort showed that HALP could independently predict BC patient prognosis in both OS (HR: 0.596, 95%CI [0.405-0.875], P = 0.008) and PFS (HR: 0.707, 95%CI [0.538-0.930], P = 0.013). OS and PFS nomograms showed excellent predictive performance with the C-indexes of 0.783 and 0.720, respectively. The calibration plots and DCA also indicated the good predictability of the nomograms. Finally, subgroup analysis further demonstrated a favorable impact of HALP on both OS and PFS. CONCLUSION: Preoperative HALP score can be used as a reliable independent predictor of OS and PFS in BC patients, and the nomograms may provide a personalized treatment strategy.

A demographic and performance assessment of horses used in draw-based Intercollegiate Horse Shows Association competitions.

Intercollegiate Horse Show Association (IHSA) competitions evaluate riders on equitation and skills when riding randomly drawn horses. This study considered demographic and competition-related variables of horses involved in IHSA competitions, and their correlation to performance through points accumulated. Demographics were recorded for fifty-nine horses in two-day Hunter Seat and Western IHSA shows along with use of artificial riding aids, day of competition, number of rides, and points, to evaluate performance. Data were analyzed using a mixed effect model and correlation coefficients with significance set at P < 0.05 (SAS 9.4). Hunter Seat horses averaged more rides per day than Western (P < 0.0001), but points per ride were not different between disciplines (P = 0.57) or days of shows (P = 0.47). Use of artificial aids did not impact points per ride a horse accumulated (P = 0.63 Hunter Seat, P = 0.41 Western). Age, (r = -0.10, P = 0.60; r = 0.02, P = 0.90), BCS (r = 0.15, P = 0.42; r = 0.17, P = 0.34), height (r = 0.20, P = 0.28; r = 0.15, P = 0.39), and weight (r = 0.23, P = 0.23; r = 0.20, P = 0.25) were weakly correlated with points earned for Hunter Seat and Western horses, respectively. Random draw in IHSA is suggested to be effective for equitation competitions, allowing a fair opportunity for riders, regardless of the horse-related factors evaluated in this study.

Immunotherapy-relevance of a candidate prognostic score for Acute Myeloid Leukemia.

Background: Acute Myeloid Leukemia (AML) exhibits a wide array of phenotypic manifestations, progression patterns, and heterogeneous responses to immunotherapies, suggesting involvement of complex immunobiological mechanisms. This investigation aimed to develop an integrated prognostic model for AML by incorporating cancer driver genes, along with clinical and phenotypic characteristics of the disease, and to assess its implications for immunotherapy responsiveness. Methods: Critical oncogenic driver genes linked to survival were identified by screening primary effector and corresponding gene pairs using data from The Cancer Genome Atlas (TCGA), through univariate Cox proportional hazard regression analysis. This was independently verified using dataset GSE37642. Primary effector genes were further refined using LASSO regression. Transcriptomic profiling was quantified using multivariate Cox regression, and the derived prognostic score was subsequently validated. Finally, a multivariate Cox regression model was developed, incorporating the transcriptomic score along with clinical parameters such as age, gender, and French-American-British (FAB) classification subtype. The 'Accurate Prediction Model of AML Overall Survival Score' (APMAO) was developed and subsequently validated. Investigations were conducted into functional pathway enrichment, alterations in the gene mutational landscape, and the extent of immune cell infiltration associated with varying APMAO scores. To further investigate the potential of APMAO scores as a predictive biomarker for responsiveness to cancer immunotherapy, we conducted a series of analyses. These included examining the expression profiles of genes related to immune checkpoints, the interferon-gamma signaling pathway, and m6A regulation. Additionally, we explored the relationship between these gene expression patterns and the Tumor Immune Dysfunction and Exclusion (TIDE) dysfunction scores. Results: Through the screening of 95 cancer genes associated with survival and 313 interacting gene pairs, seven genes (ACSL6, MAP3K1, CHIC2, HIP1, PTPN6, TFEB, and DAXX) were identified, leading to the derivation of a transcriptional score. Age and the transcriptional score were significant predictors in Cox regression analysis and were integral to the development of the final APMAO model, which exhibited an AUC greater than 0.75 and was successfully validated. Notable differences were observed in the distribution of the transcriptional score, age, cytogenetic risk categories, and French-American-British (FAB) classification between high and low APMAO groups. Samples with high APMAO scores demonstrated significantly higher mutation rates and pathway enrichments in NFKB, TNF, JAK-STAT, and NOTCH signaling. Additionally, variations in immune cell infiltration and immune checkpoint expression, activation of the interferon-γ pathway, and expression of m6A regulators were noted, including a negative correlation between CD160, m6A expression, and APMAO scores. Conclusion: The combined APMAO score integrating transcriptional and clinical parameters demonstrated robust prognostic performance in predicting AML survival outcomes. It was linked to unique phenotypic characteristics, distinctive immune and mutational profiles, and patterns of expression for markers related to immunotherapy sensitivity. These observations suggest the potential for facilitating precision immunotherapy and advocate for its exploration in upcoming clinical trials.

Significant improvement in paraneoplastic neurological syndromes without identifiable anti-neural antibodies in patients with breast cancer after breast surgery.

Paraneoplastic neurological syndromes (PNS) are neurological disorders that occur in close association with tumors without direct metastasis or invasion of the tumors and in which anti-neural antibodies may be present. Cerebellar ataxia is a common form of PNS in patients with breast cancer. However, reports of symptom improvement with breast cancer treatment are more common in patients with positive anti-neural antibodies and are rarely seen in those with negative anti-neural antibodies. In addition, there have been few quantitative evaluations of symptom improvement. We report a case in which neurological symptoms significantly improved after surgical treatment for breast cancer. The patient was a 78-years-old woman with subacute progressive cerebellar ataxia. A subsequent diagnosis of breast cancer led to the diagnosis of "PNS probable". A comprehensive search for anti-neural antibodies was negative in all cases. The quantitative index of the Scale for the Assessment and Rating of Ataxia (SARA) score, a standard evaluation method for ataxia in spinocerebellar degeneration, improved after breast cancer surgery. This case may provide a rationale for treating breast cancer patients negative for anti-neural antibodies, with the possibility of improving neurological symptoms.

The value of the current histological scores and classifications of ANCA glomerulonephritis in predicting long-term outcome.

Background: Three different histological scores-histopathologic classification (Berden), Renal Risk Score (RRS) and the Mayo Clinic Chronicity Score (MCCS)-for anti-neutrophil cytoplasmic antibody (ANCA)-associated glomerulonephritis (ANCA-GN) were compared to evaluate their association with patient and kidney prognosis of ANCA-GN. Methods: Patients aged >18 years with at least 1 year of follow-up and biopsy-proven ANCA-GN entered this retrospective study. Renal biopsies were classified according to Berden's classification, RRS and MCCS. The first endpoint was end-stage kidney disease (ESKD), defined as chronic dialysis or estimated glomerular filtration rate <15 mL/min/1.73 m2. The second endpoint was ESKD or death. Results: Of 152 patients 84 were males, with median age of 63.8 years and followed for 46.9 (interquartile range 12.8-119) months, 59 (38.8%) reached the first endpoint and 20 died. The Kaplan-Meier curves showed that Berden and RRS were associated with first (Berden: P = .004, RRS: P < .001) and second (Berden: P = .001, RRS: P < .001) endpoint, MCCS with the first endpoint only when minimal + mild vs moderate + severe groups were compared (P = .017), and with the second endpoint (P < .001). Among the clinical/histological presentation features, arterial hypertension [odds ratio (OR) = 2.75, confidence interval (95% CI) 1.50-5.06; P = .0011], serum creatinine (OR = 1.17, 95% CI 1.09-1.25; P < .0001), and the percentage of normal glomeruli (OR = 0.97, 95% CI 0.96-0.99; P = .009) were the independent predictors of ESKD at multivariate analysis. When the three scores were included in multivariate analysis, RRS (OR = 2.21, 95% CI 1.15-4.24; P = .017) and MCCS (OR = 2.03, 95% CI 1.04-3.95; P = .037) remained predictive of ESKD, but Berden (OR = 1.17, 95% CI 0.62-2.22; P = .691) did not. Conclusion: RRS and MCCS scores were independent predictors of kidney survival together with high serum creatinine and arterial hypertension at diagnosis, while Berden classification was not.

Association of oxidative balance score with hearing loss and tinnitus: NHANES 1999-2018.

Background: Oxidative stress is associated with the occurrence of hearing loss and tinnitus. The oxidative balance score (OBS), a composite indicator evaluating the balance between antioxidant and pro-oxidative components across various dietary and lifestyle factors, indicates the overall oxidative balance status. However, the association of OBS with hearing loss and tinnitus has not been reported previously. Methods: Cross-sectional data from the National Health and Nutrition Examination Survey (NHANES) 1999-2018 were analyzed. Weighted multivariable logistic regression, weighted multivariable linear regression, and restricted cubic spline curve (RCS) regression were employed to explore the relationship between OBS and hearing loss at speech, low, and high frequencies, along with tinnitus. Subgroup analysis and sensitivity analysis were used to ascertain the consistency across subgroups and stability of the results. Results: We included 13,715 and 21,644 individuals to investigate the association between OBS and hearing loss, as well as between OBS and tinnitus, respectively. The second, third, and fourth quartiles of OBS were significantly associated with a lower risk of hearing loss at speech, low, and high frequencies, as well as tinnitus, compared to the lowest quartile. The RCS regression analysis indicated a negative linear association of OBS with hearing loss and tinnitus. Most associations were maintained in subgroup analysis and sensitivity analysis. Additionally, the dietary and lifestyle OBS independently contribute to the protection against hearing loss and tinnitus. Conclusion: OBS is negatively correlated with the risk of hearing loss and tinnitus. The findings suggest that combined antioxidant diet and lifestyle hold promise as potential strategies for reducing the prevalence of hearing loss and tinnitus.

An investigation of association between human milk mineral patterns and infant growth.

Introduction: Human milk is widely acknowledged as the optimal food for infant aged 0 ~ 6 months. While there has been extensive documentation on the mineral and trace element composition of human milk, results on the relationship between mineral content and infant growth remain mixed. This cross-sectional study aims to explore human milk mineral patterns and to investigate associations between human milk mineral patterns, human milk metabolomic profile and infant growth. Methods: A total of 200 breast milk samples from seven cities in China was included. Human milk mineral and trace elements was detected by inductively coupled plasma mass spectrometer (ICP-MS). K-means cluster analysis was utilized to derived human milk mineral patterns. Untargeted human milk metabolomic profiles was determined using high performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS). Differences of infant growth rate and metabolomic profiles were then compared across patterns identified. Results: Three human milk mineral patterns were identified. Cluster I was characterized as the highest levels of potassium, magnesium and calcium, while the lowest levels of copper, zinc, manganese and selenium. Cluster II showed the most abundant sodium, iron, zinc, manganese and selenium. Cluster III had the lowest levels of sodium, potassium, magnesium, iron and calcium. Infants of cluster I showed significantly higher length-for-age z score (0.60 ± 2.03, p = 0.03). Compared with other clusters, samples of cluster I showed lower expression of metabolites of arachidonic acid (ARA) and nicotinate and nicotinamide metabolism pathway. Discussion: A human milk mineral pattern was identified which is related to increased infant growth rate and altered metabolic signature. Future work is needed to understand these human milk patterns in terms of biologic mechanisms and generalization to other populations.

Attempt to Substitute the Oncotype DX Breast Recurrence Score® Test by Histopathological Factors and MUC1 Protein Expression.

Background/Aim: Oncotype DX Breast Recurrence Score® test (ODx) is a gene profiling assay predicting the benefit of adjuvant chemotherapy for early-stage hormone receptor (HR)-positive and human epidermal growth factor receptor 2 (HER2)-negative breast cancer. Meanwhile, to avoid unnecessary financial burden on the patient, many studies have attempted to establish alternatives to ODx using conventional clinicopathological factors, but these have not yet been successful. Thus, we retrospectively investigated clinicopathological factors to establish alternatives to ODx. Patients and Methods: Data from 114 Japanese women who underwent ODx were retrospectively examined to investigate the relationship between ODx recurrence score (RS) and clinicopathological features, including MUC1 staining patterns on immunohistochemical assessment. An RS of 0-25 was defined as low, and 26-100 as high. Results: Ninety patients (79%) had low RS and 24 patients (21%) had high RS. Univariate analysis revealed that low tumor grade, high progesterone receptor (PgR) expression, and low Ki67 labeling index (LI) were significantly associated with low RS (p=0.025, p<0.001, and p<0.001, respectively). Tumors with an apical pattern of MUC1 staining also frequently had a low RS (p=0.024). In multivariate analysis, PgR expression and Ki67 LI were independent factors associated with RS (p<0.001, for both). When the ODx results were categorized with a combination of these two factors, only 2% of the PgR-high and Ki67-low group (one in 51 cases) had a high RS. Conclusion: PgR expression and Ki67 LI were independent factors correlated with RS. MUC1 staining pattern also has the potential to be a useful marker. We believe that it is crucial to continue attempts to identify patients who are unlikely to benefit from ODx.

Unlocking the power of polyphenols: A promising biomarker of improved metabolic health and anti-inflammatory diet in adolescents.

BACKGROUND: Metabolic syndrome (MetS) in adolescence is a risk factor for future cardiovascular disease. The chronic inflammation associated with MetS can be attenuated by the anti-inflammatory effect of polyphenols. We aimed to evaluate total urinary polyphenols as a biomarker of anti-inflammatory diets and their effect on MetS in adolescents. METHODS: In this retrospective analysis of a longitudinal cohort study, the relationship between total polyphenol excretion (TPE) in urine, the inflammatory potential of the diet measured through the Children's Dietary Inflammatory Index (C-DII), and the presence of metabolic syndrome was evaluated. The study population consisted of adolescents enrolled in the SI! Program for Secondary Schools trial, who had completed all the study forms and provided urine samples at baseline and at the two-year follow-up. Multivariate linear regression and multinominal logistic regression models were generated to evaluate the relationship of changes in TPE with changes in the C-DII score and changes in MetS status, respectively. An analysis of the ROC curve was performed to assess the potential of TPE as a biomarker of an anti-inflammatory diet. RESULTS: This study included 662 adolescents, 51.2% were males, and 48.8% were females, with a mean age of 12 (0.38) years at baseline. The relationship between changes in TPE and changes in the C-DII score was stratified by sex with a p-value <0.001 for the interaction. TPE and C-DII were inversely associated in males (-0.13 mg GAE/g creatinine [-0.26; -0.01] per 1-SD increase, p-value = 0.037). In addition, an increase in changes in TPE levels were associated with a reversal in MetS status in all adolescents (1.30 [1.27; 1.34] per 1-SD increase, p-value<0.001). The ROC curve showed that urinary TPE levels can predict dietary inflammatory potential with an AUC = 0.793 (0.725; 0.863) in males. CONCLUSION: Polyphenols excreted in urine are a potential biomarker of anti-inflammatory diets in males and are associated with a reversal of MetS status in adolescents. CLINICAL TRIAL REGISTRATION: ClinicalTrials.gov, Identifier: NCT03504059, https://clinicaltrials.gov/study/NCT03504059.

Development and initial validation of parent and child versions of the Juvenile Arthritis Disease Activity Score.

OBJECTIVE: To develop parent- and child-centered versions of the Juvenile Arthritis Disease Activity Score (JADAS) and to provide preliminary evidence of their validity. METHODS: Validation analyses were conducted on two large multinational datasets of patients with juvenile idiopathic arthritis (JIA) and included assessment of construct validity, internal consistency and structure, discriminative validity, responsiveness to change, and predictive validity. RESULTS: The parJADAS and patJADAS include four parent/patient-reported outcomes, each measured on a 0-10 scale: assessment of overall disease activity; rating of pain intensity; assessment of activity of joint disease; duration of morning stiffness. Both scores are calculated as the simple linear sum of the scores of their 4 components, which yields for both of them a global score of 0-40. The parJADAS and patJADAS demonstrated good construct validity, yielding high correlations with other JIA composite disease activity measures and moderate correlations with physician global rating and joint counts. Internal consistency was satisfactory, with Cronbach' s alpha > 0.80, and exploratory factor analysis showed that both indices are monodimensional. Both instruments discriminated well between different disease states, with discriminative ability being not affected by the presence of damage, proved able to predict important disease outcomes, and showed fair responsiveness to clinically important change, with standardized response mean of 0.71. CONCLUSION: Both parJADAS and patJADAS were found to possess good measurement properties and to serve as surrogate of physicians' evaluations. Regular home completion of the two instruments through digital technologies offers a suitable and pragmatic approach to deliver remote symptom monitoring and telehealth.