Restricted Cubic Spline Analysis Research Articles

Association between cardiometabolic index and kidney stone from NHANES: a population-based study.

The Cardiometabolic Index (CMI) is a novel marker of visceral obesity and dyslipidemia. Our study aimed to explore the association between CMI and kidney stones among US adults. This cross-sectional study was conducted among adults with complete records of CMI and kidney stones information from the 2011 to 2018 National Health and Nutrition Examination Survey (NHANES). Inverse probability treatment weighting (IPTW) was used to balance the baseline characteristics of the study population. The independent relationship between CMI and kidney stones was evaluated using IPTW-adjusted multivariate logistic regression, restricted cubic splines (RCS), and subgroup analysis. A total of 9,177 participants, with an average CMI of 0.72 (0.99), were included in this study. The IPTW-adjusted logistic regression revealed that CMI was an independent risk factor for kidney stones. The adjusted odds ratio (OR) for kidney stones were 1.39 (95% CI: 1.24 - 1.56, P < 0.001) for the second CMI tertile and 1.31 (95% CI: 1.17 - 1.47, P < 0.001) for the third CMI tertile, compared with the first CMI tertile. A linear relationship between CMI levels and kidney stone risk was observed in the RCS analysis. Subgroup analysis showed that the association between CMI levels and kidney stone risk remained stable across groups. A positive association between CMI level and the risk of kidney stones was observed among US adults in our study. Further large-scale prospective studies are needed to validate our findings.

Association of dietary inflammatory index and dietary oxidative balance score with gastrointestinal cancers in NHANES 2005–2018

Background&AimsGastrointestinal (GI) cancers, including gastric, liver, esophageal, pancreatic, and colorectal cancers, represent significant global health burdens. Emerging evidence suggests that dietary patterns, particularly their inflammatory and oxidative properties, may influence cancer risk. The Dietary Inflammatory Index (DII) and Dietary Oxidative Balance Score (DOBS) assess the inflammatory and oxidative effects of diets, respectively. This study aims to explore the association between DII, DOBS, and the combined risk of GI cancers, and investigates the potential mediating roles of serum albumin and red cell distribution width (RDW).MethodsData from 26,320 participants in the NHANES 2005–2018 cycles were analyzed. DII was calculated based on 28 dietary components, and DOBS included 17 nutrients (3 pro-oxidants and 14 antioxidants). Logistic regression models assessed the associations between DII, DOBS, and GI cancers. Restricted cubic spline (RCS) models examined dose-response relationships. Mediation analysis evaluated the roles of serum albumin and RDW. Subgroup analyses explored interactions with demographic and health-related factors.ResultsHigher DII was associated with increased GI cancer risk (OR: 1.26, 95% CI: 1.07–1.49 per unit increase), while higher DOBS was associated with reduced risk (OR: 0.90, 95% CI: 0.76–0.99 per unit increase). RCS analysis indicated a significant nonlinear relationship between DII and GI cancer risk. Serum albumin and RDW partially mediated the associations between DII, DOBS, and GI cancers. Subgroup analyses showed stronger associations for DII among certain demographics, and significant interactions were found between DII and BMI. For DOBS, significant interactions were observed with age and BMI.ConclusionThis study reveals significant associations between dietary inflammatory and oxidative balance scores and GI cancer risk. Higher DII is linked to increased risk, while higher DOBS is protective. The mediating roles of serum albumin and RDW provide insights into underlying mechanisms. These findings underscore the potential of dietary modifications in GI cancer prevention and management, emphasizing the importance of anti-inflammatory and antioxidant-rich diets.

The fetal origins of metabolic health: exploring the association between newborn biological age and metabolism hormones in childhood

BackgroundTelomere length (TL), mitochondrial DNA copy number (mtDNAcn), and DNA methylation age (DNAmAge) are common aging biomarkers. However, research on the associations between these three markers at birth and subsequent metabolic status was limited. This study aimed to evaluate the association between TL, mtDNAcn, and DNAmAge in newborns and the variation in metabolic hormones of children at 3 years old.MethodsThis research involved 895 mother–child pairs from a birth cohort in China, with TL and mtDNAcn measured using quantitative real-time PCR, DNA methylation (DNAm) assessed using Infinium MethylationEPIC Beadchip, and DNAm age (DNAmAge) determined using Horvath’s epigenetic clock. Insulin and leptin levels were measured via electrochemiluminescence assay. Multivariable adjusted linear regression and restricted cubic spline (RCS) analysis were utilized to examine the association between aging markers and metabolic hormones.ResultsThe linear regression analysis indicated the percentage change of metabolism hormones for per doubling of aging biomarkers alterations and found significant associations between DNAmAge and insulin levels (adjusted percent change (95% CI), − 13.22 (− 23.21 to − 1.94)), TL and leptin levels (adjusted percent change (95% CI), 15.32 (1.32 to 31.24)), and mtDNAcn and leptin levels (adjusted percent change (95% CI), − 14.13 (− 21.59 to − 5.95)). The RCS analysis revealed significant non-linear associations between TL (Ln transformed) and insulin (Ln transformed) (P = 0.024 for nonlinearity), as well as DNAmAge (Ln transformed) and leptin (Ln transformed) (P = 0.043 for nonlinearity). Specifically, for TL and insulin, a positive association was observed when TL (Ln transformed) was less than − 0.05, which transitioned to an inverse association when TL (Ln transformed) was greater than − 0.05. Regarding DNAmAge and leptin, there was a sharp decline when DNAmAge (Ln transformed) was less than − 1.35, followed by a plateau between − 1.35 and − 0.67 and then a further decline when DNAmAge (Ln transformed) was greater than − 0.67.ConclusionsIn this prospective birth cohort study, variation in metabolic hormones of children at 3 years old was associated with TL, mtDNAcn, and DNAmAge at birth. These findings suggested that TL, mtDNAcn, and DNAmAge might play a role in the biological programming of metabolic health from birth.

Association of niacin intake and metabolic dysfunction-associated steatotic liver disease: findings from National Health and Nutrition Examination Survey

AimThis study aims to explore the relationship between niacin intake and the prevalence of metabolic dysfunction-associated steatotic liver disease (MASLD) within a large, multi-ethnic cohort.MethodsA total of 2946 participants from the National Health and Nutrition Examination Survey (NHANES) were carefully selected based on strict inclusion and exclusion criteria. Participants meeting the eligibility criteria underwent two dietary recall interviews, and niacin intake was calculated using the USDA’s Food and Nutrient Database for Dietary Studies (FNDDS). Liver steatosis was diagnosed using a Controlled Attenuation Parameter (CAP) of 248 dB/m, and MASLD diagnosis was based on metabolic indicators. Weighted multivariate logistic regression was utilized to analyze the correlation between niacin intake and MASLD prevalence, with potential nonlinear relationships explored through restricted cubic spline (RCS) regression.ResultsAnalysis of baseline data revealed that MASLD patients had lower niacin intake levels and poorer metabolic biomarker profiles. Both RCS analysis and multivariate logistic regression indicated a U-shaped association between niacin intake and MASLD prevalence. Specifically, there was a non-linear dose-response relationship, with the odds of MASLD gradually decreasing with increasing niacin intake until reaching a threshold of 23.6 mg, beyond which the odds of MASLD began to increase.ConclusionThis study confirms a U-shaped nonlinear relationship between niacin intake and MASLD prevalence within the diverse American population.

Associations of arterial oxygen partial pressure with all‑cause mortality in critically ill ischemic stroke patients: a retrospective cohort study from MIMIC IV 2.2

BackgroundAs a supportive treatment, the effectiveness of oxygen therapy in ischemic stroke (IS) patients remains unclear. This study aimed to evaluate the relationships between arterial partial pressure of oxygen (PaO2) and both consciousness at discharge and all-cause mortality risk in ICU IS patients.MethodsBlood gas measurements for all patients diagnosed with IS were extracted from the MIMIC-IV database. Patients were classified into four groups based on their average PaO2 during the first ICU day: hypoxemia (PaO2 < 80 mmHg), normoxemia (PaO2 80–120 mmHg), mild hyperoxemia (PaO2 121–199 mmHg), and moderate/severe hyperoxemia (PaO2 ≥ 200 mmHg). The primary endpoint was 90-day all-cause mortality. Secondary outcomes included the level of consciousness at discharge, assessed by the Glasgow Coma Scale (GCS), and 30-day all-cause mortality. Multivariate Cox regression and Restricted cubic spline (RCS) analysis were used to investigate the relationship between mean PaO2 and mortality, and to assess the nonlinear association between exposure and outcomes.ResultsThis study included a total of 946 IS patients. The cumulative incidence of 30-day and 90-day all-cause mortality increased with decreasing PaO2 levels. RCS analysis revealed a nonlinear relationship between PaO2 and the risk of 30-day all-cause mortality (nonlinear P < 0.0001, overall P < 0.0001), as well as a nonlinear association between PaO2 and 90-day all-cause mortality (nonlinear P < 0.0001, overall P < 0.0001). The results remained consistent after excluding the small subset of patients who received reperfusion therapy. Sensitivity analysis indicated that the favorable impact on survival tends to increase with the extended duration of elevated PaO2.ConclusionsFor IS patients who do not receive reperfusion therapy or whose recanalization status is unknown, a lower PaO2 early during ICU admission is considered an independent risk factor for short-term and recent mortality. Adjusting respiratory parameters to maintain supraphysiological levels of PaO2 appears to be beneficial for survival, although this finding requires further validation through additional studies.Trial registrationNot applicable.

Association between myocardial layer-specific strain and high 10-year risk of atherosclerotic cardiovascular disease in hypertension-findings from the China-PAR project study.

Myocardial layer-specific strain is a sensitive tool for detecting myocardial dysfunction. The objective of this study was to assess changes in the left ventricle (LV) function using myocardial layer-specific strain and its association with 10-year atherosclerotic cardiovascular disease risk (10Y-ASCVDR) in individuals with hypertension (HP). The parameters of LV structure, including layer-specific global longitudinal strain (GLSww, GLSendo, GLSmid, GLSepi) and layer-specific global circumferential strain (GCSww, GCSendo, GCSmid, GCSepi), were analyzed by two-dimensional speckle-tracking echocardiography in 239 hypertensive patients and 124 control subjects. In addition, participants were divided into low-risk (LR) and high-risk (HR) subgroups according to 10Y-ASCVDR scores . The correlation between myocardial layer-specific strain and 10Y-ASCVDR was further analyzed by the restricted cubic spline (RCS) function. The values of GLSww, GLSepi, GLSmid, and GLSendo were significantly lower in HP patients with HR than in HP patients with LR and controls (p < 0.05). However, no significant differences in layer-specific GCS were observed between the groups (p > 0.05). RCS analysis revealed that 10Y-ASCVDR exhibited a significant J-shaped relationship with layer-specific GLS and GCS. After adjusting for confounding factors, GLSww (β = 0.156, p = 0.042), GLSmid (β = 0.161, p = 0.032), GCSendo (β = 0.163, p = 0.024), and GCSmid (β = -0.175, p = 0.030) were identified as independent influencing factors for high 10Y-ASCVDR. In hypertensive patients, myocardial layer-specific strain, especially GLS, sensitively detected LV dysfunction and showed a significant J-shaped relationship with 10Y-ASCVDR. GCSmid may have a compensatory effect on myocardial impairment. LV myocardial layer-specific strain may help to understand the early compensatory mechanisms of the myocardium in hypertension.

Predictive Value of Glucose Coefficient of Variation for In-Hospital Mortality in Acute Myocardial Infarction Patients Undergoing PCI: Insights from the MIMIC-IV Database

BackgroundAcute myocardial infarction (AMI) carries a high short-term risk of death, even after percutaneous coronary intervention (PCI). Glucose variability (GV), measured by the glucose coefficient of variation (GluCV), is a potential risk factor for adverse outcomes. This study investigates GluCV's predictive value for in-hospital mortality in AMI patients undergoing PCI. MethodThis study involved 2,325 AMI patients who were admitted to the ICU and underwent PCI from the MIMIC-IV database. Patients were categorized into quartiles based on GluCV: <0.13, 0.13-0.20, 0.20-0.29, and ≥0.29. Multivariable logistic regression and Restricted cubic spline (RCS) analysis were employed to analyze the relationship between GluCV and in-hospital mortality. Mediation analysis was used to evaluate the role of GluCV in the relationship between disease complexity and severity. ResultsAmong the 2,325 patients, 203 (8.7%) died during hospitalization. Higher GluCV was associated with increased in-hospital mortality. Adjusted odds ratios for mortality were 1.35 (95% CI: 0.71-2.55), 1.91 (95% CI: 1.04-3.51), and 3.32 (95% CI: 1.83-6.02) for the second, third, and fourth groups, respectively. RCS analysis indicated a linear relationship between Log GluCV and mortality risk, with each 1 SD increase in Log GluCV associated with a 1.70-fold increase in mortality. Subgroup analysis showed a stronger relationship between GluCV and mortality in patients younger than 70. Mediation analysis indicated that GluCV partially mediates the effect of comorbidities on organ dysfunction. ConclusionsGluCV is an important predictor of in-hospital mortality in AMI patients undergoing PCI. Managing GV to minimize fluctuations may improve patient prognosis.

Preoperative markers for identifying CT ≤2 cm solid nodules of lung adenocarcinoma based on image deep learning.

The solid pattern is a highly malignant subtype of lung adenocarcinoma. In the current era of transitioning from lobectomy to sublobar resection for the surgical treatment of small lung cancers, preoperative identification of this subtype is highly important for patient surgical approach selection and long-term prognosis. A total of 1489 patients with clinical stage IA1-2 primary lung adenocarcinoma were enrolled. Based on patient clinical characteristics and lung imaging features obtained via deep learning, highly correlated diagnostic factors were identified through LASSO regression and decision tree analysis. Subsequently, a logistic model and nomogram were constructed. A restricted cubic spline (RCS) was used to calculate the optimal inflection point of quantitative data and the differences between the groups. The three-dimensional proportion of solid component (PSC), sex, and smoking status was identified as being highly correlated diagnostic factors for solid predominant adenocarcinoma. The logistic model had good prediction efficiency, and the area under the ROC curve was 0.85. Decision curve analysis demonstrated that the application of diagnostic factors can improve patient outcomes. RCS analysis indicated that the proportion of solid adenocarcinomas increased by 4.6 times when the PSC was ≥72%. A PSC of 72% is a good cutoff point. The preoperative diagnosis of solid-pattern adenocarcinoma can be confirmed by typical imaging features and clinical characteristics, assisting the thoracic surgeon in developing a more precise surgical plan.

Association between heart rate and mortality in patients with septic shock: an analysis revealed by time series data

BackgroundHeart rate is crucial for patients with septic shock, but there are few studies on the scope of heart rate. Therefore, we studied the relationship between different heart rates and mortality of critically ill patients with septic shock, and explored the optimal heart rate range, in order to provide new insights for clinical treatment of septic shock.MethodsThis retrospective study utilized time-series heart rate data from the Medical Information Mart for Intensive Care (MIMIC) IV database. Patients with septic shock were identified as the Sepsis 3.0 criteria and received vasopressor therapy in the first 24 h since ICU admission. We calculated the time-weighted average heart rate (TWA-HR) based on the time-series data. The restricted cubic spline (RCS) analysis was employed to investigate the nonlinear relationship between heart rate and 28-day mortality, aiming to explore the optimal heart rate control target for septic patients and using this target as the exposure factor. The primary outcome was 28-day mortality, and the secondary outcome were ICU and in-hospital mortality. For the original cohort, we applied the log-rank test to infer the relationship between heart rate and mortality. To control for bias introduced by confounders, we utilized propensity score matching (PSM) to reduce imbalances between normal TWA-HR and high TWA-HR groups, and we established a series of models [the multivariable Cox model, matching weight (MW)-adjusted Cox model, multivariable logistic regression, MW-adjusted logistic regression, and doubly robust model] as sensitivity analyses and subgroup analyses to demonstrate the robustness of our findings.ResultsA total of 13492 patients were included in our study. The RCS analysis based on Cox and logistic regression showed increased risk of mortality (P < 0.001, non-linear P < 0.001) when TWA-HR > 85 beats per minute (bpm). The log-rank test revealed in terms of the 28-day mortality, the hazard ratio (HR) (95% confidence interval [CI]) was 1.92 (1.78—2.06, P < 0.001) for patients with high TWA-HR compared to normal TWA-HR group. Similarly, for the ICU mortality, the HR (95% CI) was 1.64 (1.52—1.78, P < 0.001), and for the in-hospital mortality, the HR (95% CI) was 1.61 (1.48—1.76, P < 0.001). Collectively, the sensitivity analysis consistently demonstrated higher 28-day mortality, ICU mortality, and in-hospital mortality in patients with TWA-HR > 85 bpm.ConclusionPatients with septic shock whose heart rate was controlled no more than 85 bpm during ICU stay received survival benefit in terms of 28-day, ICU and in-hospital mortality.

Association between the non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) and cardiovascular outcomes in patients undergoing percutaneous coronary intervention: a retrospective study

BackgroundDyslipidemia is prominently associated with adverse outcomes in patients with coronary artery disease (CAD). The non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) is a novel comprehensive lipid index. However, limited evidence exists on the relationship of the NHHR with the risk of adverse outcomes in patients with CAD. This study aimed to explore the associations between the NHHR and adverse outcomes and identify the optimal NHHR ranges linked to the lowest adverse outcome risk in patients with CAD undergoing percutaneous coronary intervention (PCI).MethodsAmong 2253 patients with CAD undergoing PCI, 2251 with available total cholesterol and HDL-C levels were analyzed. Furthermore, all patients were classified into quintiles based on the NHHR. The primary outcome was the incidence of MACCEs, comprising cardiac mortality, acute myocardial infarction, stroke, and repeat revascularization. Multivariable logistic regression analysis was used to assess the relationship between the NHHR and MACCEs. Moreover, restricted cubic spline (RCS) analysis was performed to quantify nonlinearity. Lastly, the consistency between these associations was confirmed by conducting subgroup and interaction analyses.ResultsA total of 270 patients experienced MACCEs over a median follow-up of 29.8 months (interquartile range, 25.6–34 months). After adjustment for confounding variables, the adjusted ORs (95% CIs) of the patients in quintiles 2, 3, 4, and 5 were 0.79 (0.52–1.20), 0.64 (0.42–0.99), 1.00 (0.67–1.48), and 1.17 (0.74–1.64), respectively (reference group: quintile 1). Additionally, RCS analysis demonstrated a U-shaped relationship between the NHHR and MACCEs, with an inflection point at an NHHR of 3.119 using a two-piecewise regression model. This relationship was consistent across the various subgroups, while significant interactions were not observed in these associations.The ORs and 95% CIs to the left and right of the inflection point were 0.734 (0.551–0.978) and 1.231 (1.038–1.460), respectively.ConclusionsThis study reveals a U-shaped association between baseline NHHR and MACCE incidence in patients with CAD undergoing PCI.

Change of leisure activity participation and associations with cognitive frailty in older adults: A population-based longitudinal study

ObjectivesTo examine changes in leisure activity participation and their associations with cognitive frailty among older adults. MethodsThe study utilized data from the Chinese Longitudinal Healthy Longevity Survey covering 2008–2018. Three distinct intervals represented short-term (2008–2011), medium-term (2008–2014) and long-term (2008–2018) changes in leisure activity participation, and the change patterns of levels of leisure activities based on the tertile were described. Restricted cubic splines (RCS) were used to determine the inflection point of the absolute value of leisure activity participation over two time points. Group-based trajectory modeling identified trajectories of leisure activity participation among participants from 2008 to 2018. Logistic regression analysis examined how changes in leisure activity participation impacted cognitive frailty. ResultsFive patterns of change in leisure activity participation were identified, including the persistently low group, the declining (medium-low, high-low, high-medium) group, persistently medium, rising (low-medium, low-high, medium-high), and persistently high levels of activity. A lower risk of cognitive frailty was found among three groups of persistently medium, rising, and persistently high levels of activity across three distinct intervals and among the declining group over the short-term and long-term intervals but not in the medium-term interval than among the persistently low group, respectively. RCS analysis showed that the inflection point of the association between absolute changes in leisure activity and cognitive frailty was -2.11 (short-term), -0.9 (medium-term), and -3.94 (long-term). Leisure activity trajectories were categorized into persistently low, persistently moderate, and persistently high groups, and both the persistently moderate and persistently high groups exhibited a lower risk of cognitive frailty compared to the persistently low group. ConclusionPersistently moderate to high levels and increasing levels of leisure activities can reduce the risk of cognitive frailty in the short, medium, and long term, and even the declining in leisure activity participation less than the threshold could protect against cognitive frailty, particularly in the short and long term.

Association between dietary β-carotene intake with Parkinson's disease and all-cause mortality among American adults aged 40 and older (NHANES 2001-2018).

The existing evidence concerning the correlation between dietary β-carotene intake and Parkinson's disease (PD) is currently deemed insufficient. Thus, this research aims to investigate the relationship between dietary β-carotene intake and both the prevalence of PD and all-cause mortality within the US (United States) population. The research employed cross-sectional analysis and cohort studies utilizing data from 16,852 participants in the National Health and Nutrition Examination Survey (NHANES) spanning from 2001 to 2018. Weighted logistic regression, weighted cox regression, restricted cubic splines (RCS), subgroup analysis, and sensitivity analyses were employed to validate the research objectives. Among all eligible subjects, the mean age was 59.62 ± 11.77 years, with a prevalence of PD at 1.82% overall, with 43.88% in males. In the fully adjusted model, dietary β-carotene intake exhibited a negative association with PD prevalence [odds ratio (OR) = 0.95; 95% confidence interval (CI): 0.90 ~ 0.997; p = 0.040]. Utilizing RCS analysis, a negative linear correlation between dietary β-carotene intake and PD prevalence was observed (non-linear p = 0.857). Furthermore, after controlling for multiple variables, dietary β-carotene intake was inversely associated with all-cause mortality [Hazard ratios (HR) = 0.98; 95% CI: 0.97 ~ 0.99; p = 0.002], with RCS curves indicating a negative linear relationship (nonlinear: p = 0.082). Comparable patterns of association were noted in subgroup analyses, and consistent findings were derived from additional sensitivity analyses. The cross-sectional and cohort study reveals a significant negative correlation between dietary β-carotene intake and both the prevalence of PD and all-cause mortality in the general population. This suggested that supplementing with dietary β-carotene might have certain benefits for reducing the prevalence of PD and all-cause mortality. However, further rigorously designed expected studies are needed to establish the causal relationship between them.

Association of life's essential 8 with mortalities in patients with alcohol-related liver disease.

Alcohol-related liver disease (ALD) and cardiovascular diseases share some common risk factors. This study aims to investigate the associations between Life's Essential 8 (LE8), a comprehensive measure of cardiovascular health (CVH), and outcomes of ALD. Data were obtained from the 2011-2018 National Health and Nutrition Examination Survey (NHANES). Cox proportional hazards models were employed to assess the relationships between LE8 and all-cause and cardiovascular mortality in patients with ALD. Additionally, restricted cubic splines (RCS), piecewise regression, and subgroup analyses were conducted. A total of 5321 ALD patients were included in this study with a mean LE8 score of 67.38. During a median follow-up period of 63 months, 228 all-cause deaths were recorded. After adjusting for potential confounders, the risk of all-cause mortality in the high CVH group decreased by 53.7% compared to the low CVH group (HR = 0.463, 95%CI = 0.223-0.965). The result was robust in subgroup analyses. The RCS analysis indicated a non-linear relationship between LE8 and cardiovascular mortality, showing that the risk of cardiovascular mortality decreased with increasing LE8 scores for values below 71.12 (HR = 0.949, 95% CI = 0.915-0.984). LE8 score is inversely and linearly linked to all-cause mortality in ALD patients. Promoting adherence to optimal cardiovascular health may unveil additional strategies for the effective management of ALD patients and contribute to reducing their long-term mortality.

The Clínica Universidad de Navarra-Body Adiposity Estimator index is a reliable tool for screening metabolic dysfunction-associated steatotic liver disease: an analysis from a gender perspective

BackgroundThe Clínica Universidad de Navarra-Body Adiposity Estimator (CUN-BAE) Index, serves as an effective tool for evaluating body fat (BF) levels. This research seeks to clarify the association between the CUN-BAE Index and metabolic dysfunction-associated steatotic liver disease (MASLD) from a gender perspective.MethodsThe study utilized data from a comprehensive health assessment initiative known as “Human Dock”, involving 14,251 participants. MASLD was diagnosed using abdominal ultrasound, primarily evaluated based on the following sonographic features: hepatorenal echo contrast, vascular blurring, deep attenuation, liver brightness. First, we evaluated the association of MASLD with the CUN-BAE Index using multivariate logistic regression. Second, we visualized this association and estimated potential threshold effect points using the restricted cubic spline (RCS) regression model. Ultimately, we evaluated the ability of the CUN-BAE Index to detect MASLD through receiver operating characteristic (ROC) curves.ResultsThe female-to-male ratio was 1:1.08, with a MASLD prevalence rate of 17.59%. Following the adjustment for confounding variables, an increase of one unit in the CUN-BAE Index corresponded to a 14% increase in the risk of MASLD for males and an 18% increase for females. RCS analysis revealed an S-shaped relationship between MASLD prevalence and the CUN-BAE Index for both genders, with potential threshold effect points at approximately 30 in females and 15 in males. Beyond these threshold points, the prevalence of MASLD increased rapidly. Further subgroup analyses indicated significant differences in the relationship of the CUN-BAE Index with MASLD within age and body mass index (BMI) subgroups in females, with a stronger association observed in younger and non-obese female participants. Additionally, ROC analysis revealed that the CUN-BAE Index possesses a strong ability to distinguish MASLD in both genders, especially in females.ConclusionsThis research is the first to identify a positive relationship between the CUN-BAE Index and MASLD. The CUN-BAE Index appears to be more suitable for early screening of MASLD in females.

Association between urinary mixture metal levels and olfactory function in coal miners.

Exposure to occupational metallic mixtures has a potential impact on olfactory function. However, research evidence is limited on the potential impact of exposure to metallic mixtures and olfactory dysfunction. Furthermore, the coal dust generated contains multiple various metals during coal mining, and no study yet has focus on the olfactory dysfunction of coal miners. In this study, we evaluate the association between urinary metallic mixtures and olfactory function in coal miners, while also exploring the potential applicability of plasma olfactory marker protein (OMP) as a biomarker for assessing olfaction. From July to October 2023, coal workers from seven different coal mining enterprises were recruited for the survey when they come for the employee health checkup. Ultimately, 376 participants were met the inclusion criteria and, respectively, determined with the concentrations of urine (16 metals) and plasma (OMP). Meanwhile, applying UPSIT to access their olfactory function. Binary logistic regression and restricted cubic spline (RCS) model were used to estimate the association of individual metals with olfactory function. Bayesian kernel machine regression (BKMR) and Quantile g-computation (QG-C) regression were employed to assess the overall association between metal mixtures and olfactory function and identify the major contributing elements. In a single-metal model, two metals in urine were found to be significantly associated with olfactory function. RCS analysis further revealed that the association between Iron (Fe) and olfactory function was linear, while Lead (Pb) exhibited a non-linear. The BKMR model demonstrated a significant positive association between metal mixture concentration and olfactory function. Combined QG-C regression analysis suggested that metals Cr, Fe, Se, Sb, and Pb could impact the performance of the olfactory test (UPSIT), with Pb being identified as the most influential contributor. The correlation between plasma OMP protein levels and urinary metal concentrations was weak. Multiple metals are associated with olfactory function in the coal miners. A significant positive association was observed between metal mixture concentrations and olfactory function, with Pb being the most important contributor. In this study, plasma OMP has not been demonstrated to serve as a biomarker for olfactory function.

Association between dietary intake of carotenoids and metabolic dysfunction-associated fatty liver disease in US adults: National Health and Nutrition Examination Survey 2017-March 2020.

To assess the relationship between dietary intake of α-carotene, β-carotene, β-cryptoxanthin, lycopene and lutein+zeaxanthin (LZ) and occurrence of metabolic dysfunction-associated fatty liver disease (MAFLD). Cross-sectional study design. The MAFLD diagnosis was based on hepatic steatosis and metabolic dysregulation. Carotenoid intake was adjusted for using an energy-adjusted model. Logistic regression and restricted cubic spline (RCS) analyses were used to assess the relationships, with sensitivity analysis to validate the findings. Weighted quantile sum regression (WQS) was used to explore the combined effect of these carotenoids on MAFLD. Subgroup analyses were conducted to identify population-specific associations. National Health and Nutrition Examination Survey (NHANES) 2017-March 2020. This study included 5098 individuals aged 18 years and older. After adjusting for potential confounders, a weak inverse association was observed between α-carotene and β-carotene intakes and MAFLD occurrence (all P value <0·05). The highest quartile of β-carotene intake showed a significantly lower occurrence of MAFLD compared with the lowest quartile (OR = 0·65; 95 % CI: 0·44, 0·97). RCS analysis showed that a significantly lower occurrence of MAFLD was associated with a higher intake of the four carotenoids, excluding lycopene. Furthermore, the WQS analysis revealed a negative relationship between combined carotenoid intake and MAFLD occurrence (OR = 0·95, 95 % CI: 0·90, 1·00, P = 0·037). Subgroup analyses showed dietary carotenoid intake was associated with reduced MAFLD occurrence in populations aged 50-69 years, females, physically active individuals and non-drinkers. Higher dietary intake of carotenoids is associated with lower MAFLD occurrence. However, this relationship varies among individuals of different ages, sexes and lifestyles.

Phase angle as an indicator of depression in maintenance hemodialysis patients

Introduction: Depression is a common psychiatric problem in maintenance hemodialysis (MHD) patients. Recent studies have begun to explore the relationship between body composition and depression. Phase angle (PhA), a core parameter for assessing body composition, has been observed to be associated with frailty and cognitive dysfunction. The aim of this study was to investigate the association between PhA and depression in MHD patients. Methods: This multicenter, cross-sectional study included 843 MHD patients from seven dialysis centers in Shanghai, China. Depressive symptoms were evaluated using the Patient Health Questionnaire (PHQ-9), with a score of ≥10 indicating depression. PhA was measured by bioelectrical impedance analysis. Nutritional status was assessed by Malnutrition inflammation score (MIS) . Multivariable logistic regression models were used to investigate the association between PhA and depression. Restricted cubic spline (RCS) analysis was utilized to examine the association. Receiver operating characteristic (ROC) curve was used to identify the cut-off value of PhA for depression. Results: 15.2% of patients (62.8% male, median age 66 years) had depression. Median PhA level (interquartile range, IQR) of depressed patients was 4.4° (3.9-4.9°) for males and 3.9° (3.2-4.7°) for females. There was a significant decrease in the prevalence of depression with increasing quartiles of PhA levels. In multivariable logistic regression analyses, after adjusting for age, sex, education level, spkt/v, dialysis vintage, Charlson comorbidity index, hemoglobin and serum albumin, lower PhA levels (lowest quartile group) were significantly associated with depressive symptoms (adjusted odds ratio, 2.19; 95% confidence interval, 1.07 to 4.48), compared to higher PhA levels (highest quartile group). RCS analysis showed a relatively inverse linear association between PhA and depression. The optimal cut-off value of PhA for depression was 4.9° for males and 3.5° for females. Subgroup analyses validated the findings across patient characteristics, including age, sex, diabetes, education and malnutrition. Conclusion: Our findings indicated an inverse association between PhA and depressive symptoms in Chinese MHD patients, suggesting that PhA could serve as a valuable indicator for assessing the risk of depression in this population. Further studies are needed to explore the potential of PhA as a prognostic tool and its implications for intervention strategies.

Plasma fatty acid levels and risk of non-small cell lung cancer: a large-scale prospective cohort study.

Non-small cell lung cancer (NSCLC) ranks among the most prevalent and lethal malignancies globally. Fatty acids (FAs) play a significant role in diverse physiological and pathological mechanisms, yet their precise involvement in NSCLC remains poorly understood. This study utilized a large-scale prospective cohort of 249,132 participants, observed over an average of 12 years, to investigate the relationship between different FAs and NSCLC risk. Analytical approaches included Cox proportional hazards regression, Kaplan-Meier survival analysis, accelerated failure time (AFT) modeling, and restricted cubic spline (RCS) analysis. During the follow-up period, 1,460 participants were diagnosed with NSCLC. Cox regression analysis demonstrated that elevated levels of docosahexaenoic acid (DHA), linoleic acid (LA), and omega-3 were inversely associated with NSCLC risk. Kaplan-Meier curves, along with AFT models, corroborated that elevated concentrations of DHA and LA significantly delayed NSCLC onset. Additionally, RCS analysis uncovered nuanced dose-response relationships between these FAs and NSCLC. Stratified analyses highlighted variability based on smoking status, gender, and body mass index subgroups. The concentration of specific FAs exhibits a significant association with NSCLC risk. These results offer a foundation for devising dietary FA composition adjustments aimed at reducing NSCLC risk.

Association of serum uric acid to all-cause and cardiovascular mortality in patients with cardiovascular disease

Serum uric acid (SUA) has been linked to mortality in heart failure, hypertension, diabetes, hyperlipidemia, obstructive sleep apnea, and metabolic dysfunction-associated fatty liver disease. However, data are lacking on how it affects the mortality risk of patients with cardiovascluar disease (CVD). This study evaluated the data of 4 308 individuals from the National Health and Nutrition Examination Survey 1999–2008 using multivariate Cox proportional hazards regression, trend, restricted cubic splines (RCS), subgroup and inflection point analyses. All-cause and cardiovascular mortality accounted for 42.8% and 17.6% of cases, respectively, over a median 80- month follow-up. Upon control for confounding variables, no linear trend was seen in the Cox proportional hazards regression analysis between SUA and all-cause (P = 0.001) or cardiovascular death (P = 0.007) mortality. On the RCS analysis, SUA showed an L-shaped connection with all-cause (non-linear P < 0.001) and cardiovascular mortality (non-linear P = 0.003) mortality. On the inflection point analysis, patients with CVD and an SUA ≥ 6.127 mg/dL had an all-cause mortality hazard ratio of 1.146 (95% confidence interval, 1.078–1.217; P < 0.001), while those with CVD and an SUA ≥ 5.938 mg/dL had a cardiovascular mortality hazard ratio of 1.123 (95% confidence interval, 1.03–1.225; P = 0.007). In patients with CVD, higher SUA was non-linearly correlated with all-cause and cardiovascular mortality.

Relationship between four visceral obesity indices and prediabetes and diabetes: a cross-sectional study in Dalian, China

BackgroundIn recent times, a number of new indices for measuring visceral obesity have been developed. This research sought to investigate the relationship between four visceral obesity indices and prediabetes and diabetes.MethodsConducted in 2011 as a cross-sectional analysis in Dalian, China, this study utilized logistic regression models to explore the relationships between four visceral obesity indices and prediabetes and diabetes. It also assessed the dose-response relationships using restricted cubic splines (RCS), performed subgroup analyses, and conducted interaction tests. The predictive values of four visceral obesity indices were evaluated using receiver operating characteristic (ROC) curves.ResultsThe study enrolled 10,090 participants, with prediabetes and diabetes prevalence at 80.53%. Multifactorial logistic regression revealed positive relationships between the four visceral obesity indices and prediabetes and diabetes. The results of the RCS analysis revealed a linear relationship between the body roundness index (BRI), cardiometabolic index (CMI) and prediabetes and diabetes. Conversely, a non-linear relationship was observed between Chinese visceral adiposity index (CVAI), lipid accumulation product (LAP) and prediabetes and diabetes. Subgroup analyses demonstrated stronger relationships of CMI, CVAI, and LAP with prediabetes and diabetes among females. ROC curves suggested that LAP could be an effective predictor of these conditions.ConclusionThis research confirmed that four visceral obesity indices are linked with a higher risk of prediabetes and diabetes in middle-aged and elderly individuals in Dalian. Importantly, LAP could be an effective predictor of prediabetes and diabetes. Effective weight management significantly reduces the risk of both prediabetes and diabetes.