Red cell distribution width/albumin ratio and mortality risk in rheumatoid arthritis patients: Insights from a NHANES study.

BACKGROUND: Despite the established negative regulatory effects observed in various diseases like cardiovascular disease and diabetes, the distinct impact of red cell distribution width (RDW) to albumin ratio (RAR) on mortality within the realm of rheumatoid arthritis (RA) remains obscure. This study sought to explore the relationship between RAR and mortality in RA patients. METHODS: A cohort of 2151 adults with RA from the National Health and Nutrition Examination Survey (NHANES) spanning 2003-2016 was analyzed for RAR levels derived from red cell distribution width and albumin concentrations. Utilizing Cox regression analysis, Kaplan-Meier curves, and Restricted Cubic Spline (RCS) models, we assessed the association between RAR levels and RA mortality while adjusting for potential confounding variables. RESULTS: Participants with higher RAR had a twofold to threefold increased risk of all-cause (HR = 3.10, 95% CI: 2.26-4.24) and cardiovascular mortality (HR = 2.46, 95%CI: 1.26-4.79) versus lower RAR. Kaplan-Meier analysis revealed that the higher RAR group had a significantly lower survival rate compared to the lower RAR group for both all-cause and cardiovascular mortality (both p < .0001), with a more pronounced effect observed for all-cause mortality. Furthermore, the RCS-fitted Cox regression model illustrated a nonlinear positive correlation between RAR levels and RA mortality. CONCLUSION: Overall, a higher RAR was associated with an increased risk mortality in RA patients. These findings underscore the potential of RAR as a prognostic biomarker in predicting outcomes in RA.

Biological and Clinical Characteristics of Proximal Colon Cancer: Far from Its Anatomical Subsite.

Colorectal cancer is a heterogeneous disease which can be divided into proximal colon cancer, distal colon cancer and rectal cancer according to the anatomical location of the tumor. Each anatomical location of colorectal cancer exhibits distinct characteristics in terms of incidence, clinical manifestations, molecular phenotypes, treatment, and prognosis. Notably, proximal colon cancer differs significantly from cancers of other anatomical subsites. An increasing number of studies have highlighted the presence of unique tumor biological characteristics in proximal colon cancer. Gaining a deeper understanding of these characteristics will facilitate accurate diagnosis and treatment approaches.

Association between oxidative balance score and risk of gout: The NHANES cross-sectional study, 2007-2018.

BACKGROUND: The Oxidative Balance Score (OBS) is a systematic tool to assess the effects of diet and lifestyle in relation to oxidative stress. The association between OBS and gout has not been reported previously. We conducted a cross-sectional study to investigate the complex association between OBS and gout in US adults. METHODS: In all, 10 492 participants were included in this study. The exposure variable was OBS, which was scored by 16 dietary and four lifestyle factors. Multivariate logistic regression, subgroup analysis, and restricted cubic spline (RCS) regression were used to analyze the association between OBS and gout. RESULTS: Compared with the lowest OBS quartile group (Q1), the multivariate corrected odds ratio (OR) (95% confidence interval [C]) for the highest quartile of OBS (Q4) was 0.72 (0.52-1.00) (p = .13 for trend); furthermore, the RCS showed a negative linear relationship between OBS and gout (p-nonlinear = .606). CONCLUSION: In conclusion, the risk of gout is higher with high OBS. The prevalence of gout decreased with higher OBS. Diabetes may alter this negative correlation.

Different gender of oxidative balance score on the risk of rheumatoid arthritis in the US population from NHANES.

BACKGROUND: Oxidative stress is associated with risk of pathogenesis between rheumatoid arthritis. The Oxidative Balance Score (OBS) is a systematic tool to assess the effects of diet and lifestyle in relation to oxidative stress. However, the association between OBS and rheumatoid arthritis has not been reported previously. We conducted a cross-sectional study to investigate the complex association between OBS and rheumatoid arthritis in US adults. METHODS: Overall, 9747 participants were included in this cross-sectional study. The exposure variable was OBS, which was scored by 16 dietary and four lifestyle factors. Multivariate logistic regression, subgroup analysis, and restricted cubic spline (RCS) regression were used to analyze the association between OBS and rheumatoid arthritis. RESULTS: Compared to the lowest OBS quartile group (Q1), the multivariate corrected odds ratio (OR) (95% confidence interval [CI]) for the highest quartile of OBS (Q4) was 0.69 (0.52-0.90) (p = .013 for trend); furthermore, the RCS showed a negative linear relationship between OBS and rheumatoid arthritis. According to subgroup and RCS analyses, there was a significant difference between the association of OBS and with rheumatoid arthritis in terms of gender (p = .049). CONCLUSION: In conclusion, high OBS was negatively associated with the risk of rheumatoid arthritis. Gender has an effect on OBS in RA. Our results suggest that OBS can be used as a biomarker to predict rheumatoid arthritis.

Exploring the link between dietary omega-3 and omega-6 fatty acid intake and rheumatoid arthritis risk: NHANES 1999-2020 study.

OBJECTIVES: The association between the ingestion of n-3 and n-6 fatty acids and rheumatoid arthritis (RA) remains unclear. To address this, this study utilised data from the National Health and Nutrition Examination Survey (NHANES) spanning from 1999 to 2020. METHODS: Dietary intake information on n-3 and n-6 fatty acids was gathered through 24-hour interviews about dietary recall and adjusted based on weight. RA patient data was collected using questionnaires. Associations were evaluated using logistic regression and spline analyses. The study included a total of 50,352 participants in a cross-sectional manner. RESULTS: In the adjusted Model 2, higher odds ratios (ORs) of 0.72 (95% CI: 0.60-0.86) and 0.76 (95% CI: 0.62-0.92) were observed for n-3 and n-6 fatty acid intake, respectively, compared to the lowest category. CONCLUSIONS: The results suggest a negative correlation between the ingestion of n-3 and n-6 fatty acids and the risk of rheumatoid arthritis in US adults.

Association between serum uric acid levels and lung function in the NHANES cohort (2007-2012): A cross-sectional analysis of a diverse American population.

BACKGROUND: Hyperuricemia has been linked to various health conditions. However, the relationship between uric acid (UA) levels and lung function remains debated. METHODS: In a cross-sectional study of 6750 participants aged 20-69 from NHANES, we assessed UA levels and lung function (FVC and FEV1). We conducted regression analyses while adjusting for potential confounders. RESULTS: After accounting for factors like age, sex, BMI, smoking, and more, we found a negative association between UA FVC and FEV1. Specifically, for every 0.1 mg/dL increase in UA, FEV1 decreased by 15.265 mL, and FVC decreased by 24.46 mL. No association was observed with FEV1/FVC. Subgroup analyses revealed similar negative correlations among various groups, particularly in non-Hispanic Black females under 60. CONCLUSION: Serum UA levels are inversely associated with FEV1 and FVC in the American population, with a notable impact on non-Hispanic Black females under 60.

Prevalence and treatment rate of gout by depressive symptom severity: A cross-sectional analysis of NHANES 2007-2018.

BACKGROUND: The co-disease of depression and gout is becoming more common in the modern era. However, the relationship between the severity of depressive symptoms and gout prevalence and treatment rate was still unclear. OBJECTIVE: This study aimed to determine the relationship between the prevalence, treatment rate of gout, and the severity of depression in the United States. METHOD: The cross-sectional analysis of the 2007-2018 National Health and Nutrition Examination Survey (NHANES) for participants with depression was performed. According to their Patient Health Questionnaire-9 (PHQ-9) scores, participants were categorized as none, mild, moderate, moderately severe, and severe. To learn the correlation between the severity of depressive symptoms and the prevalence and treatment rate of gout using multivariate logistic regression to control for confounder interference. RESULTS: A total of 25 022 patients were included in this study. As the severity of the depressive symptoms worsened (Mild, Moderate and Moderately severe), the risk of gout increased in non-adjusted model and model 1,2,3 (p-value for trend =.01 in non-adjusted model, <.0001 in model 1, <.01 in models 2 and 3; prevalence group in Model 1, aOR1.71, 95% CI (1.40, 2.08) in the mild group, aOR1.68, 95% CI (1.19, 2.39) in the moderate group, aOR1.31,95% CI (0.82, 2.11) in the moderately severe group, aOR1.21, 95% CI (0.62, 2.38) in the severe group). However, the lower gout prevalence trend has no statistical significance after adjusting all factors in Model 4(p-value for trend =.98). Compared with patients without depression, only a few patients received treatment, especially patients with severe depression (none, 80.1%; severe, 0.2%). The more severe the depression, the lower the treatment rate (p-value for trend: non-adjusted model, p < .001; model 1, p = .05; model 2, p = .02; model 3, p = .03). CONCLUSION: Compared with patients without depression, the patients with depression had a higher risk of gout. With the aggravation of depression, the prevalence of gout and the rate of treatment both were decreased. Patients with gout and depression need to receive multidisciplinary care after diagnosis. However, currently, treatment cannot meet the needs of the current patients.

Prognostic Value of Tumor Size in Colon Cancer-Smaller is Better?

BACKGROUND: The prognostic value of tumor size in colon cancer remains controversial. This study aimed to reveal the correlation between tumor size and prognosis of colon cancer. METHODS: A total of 491 patients with colon cancer were included in this study. The correlation of tumor size with prognosis, mismatch repair status, and other clinicopathological characteristics as well as tumor microenvironment was analyzed. RESULTS: For stage IIA microsatellite stable (MSS) colon cancer, tumors sized <3.5 cm and ≥5 cm were associated with a poorer disease free survival (DFS) compared with tumors sized between 3.5 and 5 cm (P = .002). Small tumor size (HR = 5.098, P = .001) and large tumor size (HR = 2.749, P = .029) were found to be independent prognostic factors for stage IIA MSS colon cancer. Moreover, high expression of transgelin (TAGLN), a marker of cancer-associated fibroblasts (CAFs), was found to be an independent prognostic factor for poorer DFS (HR = 9.651, P = .009), which was also associated with smaller tumor size (P = .027). CONCLUSION: Small (<3.5 cm) and large (≥5 cm) tumor sizes are associated with decreased DFS in stage IIA MSS colon cancer. Enrichment of TAGLN+ CAFs is associated with decreased DFS and small tumor size.

Highly efficient octave-spanning long-wavelength infrared generation with a 74% quantum efficiency in a χ(2) waveguide.

The realization of compact and efficient broadband mid-infrared (MIR) lasers has enormous impacts in promoting MIR spectroscopy for various important applications. A number of well-designed waveguide platforms have been demonstrated for MIR supercontinuum and frequency comb generations based on cubic nonlinearities, but unfortunately third-order nonlinear response is inherently weak. Here, we propose and demonstrate for the first time a χ(2) micrometer waveguide platform based on birefringence phase matching for long-wavelength infrared (LWIR) laser generation with a high quantum efficiency. In a ZnGeP2-based waveguide platform, an octave-spanning spectrum covering 5-11 µm is generated through optical parametric generation (OPG). A quantum conversion efficiency of 74% as a new record in LWIR single-pass parametric processes is achieved. The threshold energy is measured as ~616 pJ, reduced by more than 1-order of magnitude as compared to those of MIR OPGs in bulk media. Our prototype micro-waveguide platform could be extended to other χ(2) birefringence crystals and trigger new frontiers of MIR integrated nonlinear photonics.

Effectiveness of traditional Chinese exercise in patients with fibromyalgia syndrome: A systematic review and meta-analysis of randomized clinical trials.

BACKGROUND AND OBJECTIVE: Fibromyalgia syndrome (FMS) is a common disorder characterized by heterogeneous symptoms that leads to decreased functioning, work productivity, and quality of life. Exercise has been recommended for fibromyalgia treatment. Traditional Chinese exercise (TCE), including Taichi, Qigong, Badunjin, Wuqinxi, etc., as a kind of mind-body exercise, plays an important role in alleviating symptoms of FMS. The objective of this study is to summarize the available evidence, through meta-analysis, on the pain relief, quality of life, sleep improvement, and emotion regulation of FMS in TCE. METHODS: Databases of PubMed, EMBASE, Cochrane library, Google scholar, CNKI, WANFANG DATA, VIP, etc. were used to search eligible studies that were published from the time of their inception to February 11, 2022, in English and Chinese. The included studies were divided into two groups: TCE group (experimental group) and control group. The Cochrane collaboration's tool was used to assess the risk of bias, and Revman5.4.1 software was used to synthesize and analyze the data. RESULTS: A total of 12 literatures were included in this study, which contained 781 patients, and 448 of them were included in the treatment group, 333 of others in control group. TCE significantly alleviated pain [SMD = -0.83, 95% CI (-1.15, -0.51), p < .00001], improved quality of life [SMD = -0.53, 95% CI (-0.86, -0.19), p = .002] and improved qualities of sleep [SMD = -0.41, 95% CI (-0.57, -0.24), p < .00001] and relieved depression [SMD = -0.40, 95% CI (-0.69, -0.10), p < .008]. CONCLUSION: TCE may be a way to reduce pain, improve the quality of life and sleep, and relieve depression for FMS, and it could be part of the FMS treatment.

Radiomics from Mesorectal Blood Vessels and Lymph Nodes: A Novel Prognostic Predictor for Rectal Cancer with Neoadjuvant Therapy.

The objective of our study is to investigate the predictive value of various combinations of radiomic features from intratumoral and different peritumoral regions of interest (ROIs) for achieving a good pathological response (pGR) following neoadjuvant chemoradiotherapy (nCRT) in patients with locally advanced rectal cancer (LARC). This retrospective study was conducted using data from LARC patients who underwent nCRT between 2013 and 2021. Patients were divided into training and validation cohorts at a ratio of 4:1. Intratumoral ROIs (ROIITU) were segmented on T2-weighted imaging, while peritumoral ROIs were segmented using two methods: ROIPTU_2mm, ROIPTU_4mm, and ROIPTU_6mm, obtained by dilating the boundary of ROIITU by 2 mm, 4 mm, and 6 mm, respectively; and ROIMR_F and ROIMR_BVLN, obtained by separating the fat and blood vessels + lymph nodes in the mesorectum. After feature extraction and selection, 12 logistic regression models were established using radiomics features derived from different ROIs or ROI combinations, and five-fold cross-validation was performed. The average area under the receiver operating characteristic curve (AUC) was used to evaluate the performance of the models. The study included 209 patients, consisting of 118 pGR and 91 non-pGR patients. The model that integrated ROIITU and ROIMR_BVLN features demonstrated the highest predictive ability, with an AUC (95% confidence interval) of 0.936 (0.904-0.972) in the training cohort and 0.859 (0.745-0.974) in the validation cohort. This model outperformed models that utilized ROIITU alone (AUC = 0.779), ROIMR_BVLN alone (AUC = 0.758), and other models. The radscore derived from the optimal model can predict the treatment response and prognosis after nCRT. Our findings validated that the integration of intratumoral and peritumoral radiomic features, especially those associated with mesorectal blood vessels and lymph nodes, serves as a potent predictor of pGR to nCRT in patients with LARC. Pending further corroboration in future research, these insights could provide novel imaging markers for refining therapeutic strategies.

Prognostic effect of preoperative Controlling Nutritional Status score in patients with locally advanced rectal cancer: A two-center, retrospective study.

OBJECTIVES: This study aimed to identify the prognosis relevant to the Controlling Nutritional Status (CONUT) score in locally advanced rectal cancer patients who were treated with neoadjuvant chemoradiotherapy before radical surgery. METHODS: From a retrospective database of 568 patients undergoing radical surgery for rectal cancer at two Chinese institutions between 2012 and 2022, data for 300 patients with locally advanced rectal cancer were identified. The optimal cutoff value for the CONUT score in predicting overall survival (OS) was determined using X-tile software. The associations of the CONUT score with the recurrent metastasis and clinicopathologic parameters were analyzed. The CONUT score's ability to predict OS was also compared with other prognostic markers. Univariate and multivariate Cox regression analysis for OS was performed. Subgroup analysis was conducted to evaluate further the CONUT score's predicting value. RESULTS: The optimal CONUT score cutoff value was determined as 5 according to X-tile. Patients were divided into CONUT-high (CONUT score ≥ 5) and CONUT-low (CONUT score < 5) groups. CONUT score is significantly correlated with hemoglobin, globulin, and platelets. Time-dependent receiver operating characteristic of the CONUT score predicting OS outperformed all common prognostic markers. Multivariate Cox regression analysis identified CONUT score as an independent prognostic factor for OS (hazard ratio = 5.701; 95% CI, 2.336-13.914; P < 0.001). In the subgroups of age, sex, carcinoembryonic antigen, ypTNM, and tumor response status, significant statistical differences can be observed between CONUT-high and -low. CONCLUSIONS: The present study finds that the preoperative CONUT score may be a useful prognostic indicator in clinical scenarios.

A boundary-guided transformer for measuring distance from rectal tumor to anal verge on magnetic resonance images.

Accurate measurement of the distance from the tumor's lowest boundary to the anal verge (DTAV) provides an important reference value for treatment of rectal cancer, but the standard measurement method (colonoscopy) causes substantial pain. Therefore, we propose a method for automatically measuring the DTAV on sagittal magnetic resonance (MR) images. We designed a boundary-guided transformer that can accurately segment the rectum and tumor. From the segmentation results, we estimated the DTAV by automatically extracting the anterior rectal wall from the tumor's lowest point to the anal verge and then calculating its physical length. Experiments were conducted on a rectal tumor MR imaging (MRI) dataset to evaluate the efficacy of our method. The results showed that our method outperformed surgeons with 6 years of experience (p < 0.001). Furthermore, by referring to our segmentation results, attending and resident surgeons could improve their measurement precision and efficiency.

Synovitis, acne, pustulosis, hyperostosis, and osteitis syndrome with cranial bone involvement: Case report and literature review.

Synovitis, acne, pustulosis, hyperostosis, and osteitis (SAPHO) syndrome is a rare autoimmune inflammatory disease characterized by osteoarticular and dermatological manifestations. The most common osteoarticular manifestations involve the anterior chest wall, axial skeleton, and long bones. Cranial bone involvement is less reported in SAPHO syndrome. We herein present three cases of SAPHO syndrome with cranial bone involvement, and review the previous literature on similar manifestations. It was revealed that SAPHO syndrome could lead to cranial bone involvement, which could involve the dura mater, leading to hypertrophic pachymeningitis, but the outcome is usually good. Janus kinase inhibitors may be a potential treatment option.

Measuring distance from lowest boundary of rectal tumor to anal verge on CT images using pyramid attention pooling transformer.

Accurately measuring the Distance from the lowest boundary of rectal tumor To the Anal Verge (DTAV) is critical for developing optimal surgical plans for treating patients with rectal cancer. DTAV was traditionally estimated by colonoscopy or manual measurement on computed tomography (CT) images. However, colonoscopy brings substantial pains to the patient. As for manual measurement on CT images, it is time-consuming and its accuracy depends on the surgeon's expertise. In this work, we present a novel method for automatically measuring DTAV from sagittal CT images. The success of our method is mainly credited to a pyramid attention pooling (PAP) transformer architecture, which naturally entangles global lesion localization and local boundary delineation. Our method automatically generates the rectum's centerline based on a segmented rectum and tumor image to simulate the manual measurement of DTAV. We conduct a comprehensive evaluation of the method with a newly collected rectum tumor CT image dataset. On a test dataset of 48 patients' CT images with rectal tumors, the mean absolute difference between our method and the gold standard is 1.74 cm, which is a significant improvement of 1.29 cm over that measured by a resident surgeon (P < 0.001). In addition, The results measured by the resident surgeon referring to our segmentation results improved by 1.46 cm compared to the results measured independently by the residents. As experimentally demonstrated, our method exhibits great application potential in clinical scenarios.

Unmasking the biological function and regulatory mechanism of NOC2L: a novel inhibitor of histone acetyltransferase.

NOC2 like nucleolar associated transcriptional repressor (NOC2L) was recently identified as a novel inhibitor of histone acetyltransferase (INHAT). NOC2L is found to have two INHAT function domains and regulates histone acetylation in a histone deacetylases (HDAC) independent manner, which is distinct from other INHATs. In this review, we summarize the biological function of NOC2L in histone acetylation regulation, P53-mediated transcription, ribosome RNA processing, certain development events and carcinogenesis. We propose that NOC2L may be explored as a potential biomarker and a therapeutic target in clinical practice.

The preoperative geriatric nutritional risk index predicts long-term prognosis in elderly locally advanced rectal cancer patients: a two-center retrospective cohort study.

BACKGROUND: The objective is to explore the value of preoperative geriatric nutritional risk index (GNRI) in evaluating long-term prognosis in elderly locally advanced rectal cancer (LARC) patients who accepted neoadjuvant chemoradiotherapy (NCRT) and to compare GNRI with established nutritional markers, including prognostic nutritional index (PNI) and controlling nutritional status (CONUT) score. METHODS: Preoperative GNRI was retrospectively assessed in 172 LARC patients aged ≥ 60 years who underwent radical resection after NCRT at two centers. Optimal cutoff value of GNRI was determined by X-tile program. The association of GNRI with clinicopathological parameters and nutritional markers was analyzed. The survival ability of markers was evaluated using time-dependent receiver-operating characteristic (ROC) curve analysis. Finally, survival analysis was performed using Kaplan-Meier and Cox regression analysis. RESULTS: GNRI was highly correlated with nutritional markers. An optimal cutoff value for the GNRI was 96. In the time-dependent ROC curve, GNRI demonstrated a stable predictive ability for both disease-free survival (DFS) and overall survival (OS). Multivariate analysis showed that GNRI was the only nutritional marker that independently predicted DFS (HR 2.457, 95% CI 1.066-5.665, P = 0.035) and OS (HR 9.002, 95% CI 3.100-26.146, P < 0.001). As an additional benefit, GNRI was able to stratify survival in subgroups of ypTNM and tumor response. CONCLUSION: Preoperative GNRI is a promising predictor of long-term survival for elderly LARC patients undergoing NCRT, superior to the established nutritional markers.

A novel prediction model for pathological complete response based on clinical and blood parameters in locally advanced rectal cancer.

Background: The aim of this study was to investigate whether clinical and blood parameters can be used for predicting pathological complete response (pCR) to neoadjuvant chemoradiotherapy (nCRT) in patients with locally advanced rectal cancer (LARC). Methods: We retrospectively enrolled 226 patients with LARC [allocated in a 7:3 ratio to a training (n = 158) or validation (n = 68) cohort] who received nCRT before radical surgery. Backward stepwise logistic regression was performed to identify clinical and blood parameters associated with achieving pCR. Models based on clinical parameters (CP), blood parameters (BP), and clinical-blood parameters (CBP) were constructed for comparison with previously reported Tan's model. The performance of the four models was evaluated by receiver operating characteristic (ROC) curve analysis, calibration, and decision curve analysis (DCA) in both cohorts. A dynamic nomogram was constructed for the presentation of the best model. Results: The CP and BP models based on multivariate logistic regression analysis showed that interval, Grade, CEA and fibrinogen-albumin ratio index (FARI), sodium-to-globulin ratio (SGR) were the independent clinical and blood predictors for achieving pCR, respectively. The area under the ROC curve of the CBP model achieved a score of 0.818 and 0.752 in both cohorts, better than CP (0.762 and 0.589), BP (0.695 and 0.718), Tan (0.738 and 0.552). CBP also showed better calibration and DCA than other models in both cohorts. Moreover, CBP revealed significant improvement compared with other models in training cohort (P < 0.05), and CBP showed significant improvement compared with CP and Tan's model in validation cohort (P < 0.05). Conclusion: We demonstrated that CBP predicting model have potential in predicting pCR to nCRT in patient with LARC.