Risk Of Chronic Kidney Disease Research Articles

Early Detection of Chronic Kidney Disease Using Plasma Neutrophil Gelatinase-Associated Lipocalin and Kidney Injury Molecule-1 in Small-Breed Dogs: A Retrospective Pilot Study.

Multiple diagnostic modalities are urgently needed to identify early-stage kidney diseases. Various molecules have been investigated; however, most studies have focused on identifying specific biomarkers in urine. Considering that assessing the symmetrical dimethylarginine (SDMA) plasma concentration is more suitable as an early diagnostic test for chronic kidney disease (CKD) in routine veterinary practice, we aimed to investigate the clinical usefulness of plasma neutrophil gelatinase-associated lipocalin (pNGAL) and plasma kidney injury molecule-1 (pKIM-1) concentrations for CKD detection in small-breed dogs. Through a retrospective analysis, we found that numerous clinicopathological data showed a log-normal distribution, even when they satisfied normality tests. Moreover, the log-transformed pNGAL and pKIM-1 concentrations successfully identified CKD International Renal Interest Society (IRIS) stages 1-4 and the risk group with underlying CKD risk factors. Correlation analysis and group comparison of other factors confirmed the possibility of using these two biomarkers for detecting the CKD risk group and IRIS stage 1. Receiver operating characteristic curve analysis revealed that the diagnostic accuracy for discriminating the risk group was superior in the order of pKIM-1, pNGAL, SDMA, and serum creatinine levels. In conclusion, these results suggest that pKIM-1 and pNGAL are possible early or quantifiable markers of insignificant CKD or can be at least used as an adjunct with traditional indicators.

Anticoagulation in Chronic Kidney Disease.

The nuanced landscape of anticoagulation therapy in patients with chronic kidney disease (CKD) presents a formidable challenge, intricately balancing the dual hazards of hemorrhage and thrombosis. These patients find themselves in a precarious position, teetering on the edge of these risks due to compromised platelet functionality and systemic disturbances within their coagulation frameworks. The management of such patients necessitates a meticulous approach to dosing adjustments and vigilant monitoring to navigate the perilous waters of anticoagulant therapy. This is especially critical considering the altered pharmacokinetics in CKD, where the clearance of drugs is significantly impeded, heightening the risk of accumulation and adverse effects. In the evolving narrative of anticoagulation therapy, the introduction of direct oral anticoagulants (DOACs) has heralded a new era, offering a glimmer of hope for those navigating the complexities of CKD. These agents, with their promise of easier management and a reduced need for monitoring, have begun to reshape the contours of care, particularly for patients not yet on dialysis. However, this is not without its caveats. The application of DOACs in the context of advanced CKD remains a largely uncharted territory, necessitating a cautious exploration to unearth their true potential and limitations. Moreover, the advent of innovative strategies such as left atrial appendage occlusion (LAAO) underscores the dynamic nature of anticoagulation therapy, potentially offering a tailored solution for those at the intersection of CKD and elevated stroke risk. Yet the journey toward integrating such advancements into standard practice is laden with unanswered questions, demanding rigorous investigation to illuminate their efficacy and safety across the spectrum of kidney disease. In summary, the management of anticoagulation in CKD is a delicate dance, requiring a harmonious blend of precision, caution, and innovation. As we venture further into this complex domain, we must build upon our current understanding, embracing both emerging therapies and the need for ongoing research. Only then can we hope to offer our patients a path that navigates the narrow strait between bleeding and clotting, toward safer and more effective care.

Synergistic association of sodium-glucose cotransporter-2 inhibitor and metformin on liver and non-liver complications in patients with type 2 diabetes mellitus and metabolic dysfunction-associated steatotic liver disease

ObjectiveType 2 diabetes mellitus and metabolic dysfunction-associated steatotic liver disease (diabetic MASLD) frequently coexist and worsen liver and non-liver outcomes, but effective pharmacological therapies are limited. We aimed to evaluate...

Use of the Screening for Occult Renal Disease (SCORED) Questionnaire to Screen Diabetic Nephropathy in Asymptomatic Patients: A Cross-Sectional Study.

The 2007 Screening for Occult Renal Disease (SCORED)questionnaire accesses risk factors for chronic kidney disease (CKD) and makes it possible to screen high-risk patients, being adapted and validated for the Brazilian culture in 2012. The present study evaluated the questionnaire's ability to predict the occurrence of CKD in asymptomatic patients, as well as identify a high risk for developing the disease. This was an analytical observational study with a cross-sectional design carried out in two stages: answering the SCORED and performing fasting blood glucose and creatinine tests. The participants were patients at the Hospital das Clínicas of the Federal University of Minas Gerais (HC-UFMG) with scheduled creatinine and fasting blood glucose tests, respecting the inclusion and exclusion criteria defined for the study. SCORED was applied with questions covering gender, age, proteinuria, and diabetes, being classified as high or low risk for CKD. The data collected were height, weight, age, sex, diagnosis of diabetes mellitus, and fasting blood glucose. The sample space was 212 individuals, the majority of whom were female (N=130, 61.3%), with a median of 58 years of age. The prevalence of CKD was 15.6% (N=33) with a sensitivity of 90.9%, a specificity of 30.2%, a positive predictive value of 19.4%, a negative predictive value of 94.7%, and a diagnostic accuracy of 39.7%. We concluded that the SCORED questionnaire can be a useful tool for screening CKD in asymptomatic patients and also that there is a relationship was detected between glycemic changes and an increased risk for CKD.

Meta-analysis of the association between chronic periodontitis and chronic kidney disease.

Many scholars have performed several clinical studies have investigated the association between chronic periodontitis (CP) and chronic kidney disease (CKD). However, there are still differences between these research results, and there is no unified conclusion. Therefore, a systematic review is required to understand this issue fully. To explore the correlation between CP and CKD. Literature on the correlation between CP and CKD, as well as the clinical attachment level (CAL) and pocket probing depth (PPD) of CKD and non-CKD, were retrieved from PubMed, Embase, the Cochrane Library, and Web of Science repositories until January 2024. After the effective data were extracted, data processing and statistics were performed using Stata 12.0. Of the 22 studies, 13 were related to CP and CKD, and 9 reported CAL and PPD in patients with CKD and healthy controls. Meta-analysis of the correlation between CP and CKD revealed that CKD probability in people with CP was 1. 54 times that of healthy individuals [relative risk = 1.54, 95% confidence interval (CI): 1.40-1.70], and CP incidence in patients with CKD was 1. 98 times that of healthy individuals [overall risk (OR) = 1.98, 95%CI: 1.53-2.57]. Meta-analysis of CAL and PPD evaluations between CKD patients and healthy individuals showed that CAL and PPD levels were higher in CKD patients [standard mean difference (SMD) of CAL = 0.65, 95%CI: 0.29-1.01; SMD of PPD = 0.33, 95%CI: 0.02-0.63]. A bidirectional association exists between CP and CKD. CKD risk is increased in CP patients and vice versa. Periodontal tissue or tooth loss risks increase over time in CKD patients.

Sex Differences in Profile and In-Hospital Death for Acute Stroke in Chile: Data From a Nationwide Hospital Registry.

Knowledge of local contextual sex differences in the profile and outcome for stroke can improve service delivery. We aimed to determine sex differences in the profile of patients with acute stroke and their associations with in-hospital death in the national hospital database of Chile. We present a retrospective cohort based on the analysis of the 2019 Chilean database of Diagnosis-Related Groups, which represents 70% of the operational expenditure of the public health system. Random-effects multiple logistic regression models were used to determine independent associations of acute stroke (defined by main diagnosis International Classification of Diseases, Tenth Revision [ICD-10] codes) and in-hospital death, and reported with odds ratios (ORs) and 95% CIs. Of 1 048 575 hospital discharges, 15 535 were for patients with acute stroke (7074 [45.5%] in women), and 2438 (15.6%) of them died during hospitalization. Differences by sex in sociodemographic and clinical characteristics were identified for stroke and main subtypes. After fully adjusted model, women with ischemic stroke had lower in-hospital death (OR, 0.79 [95% CI, 0.69-0.91]) compared with men; other independent predictors included age per year increase (OR, 1.03 [95% CI, 1.03-1.04]), chronic kidney disease (OR, 1.47 [95% CI, 1.20-1.80]), atrial fibrillation (OR, 1.50 [95% CI, 1.26-1.80]), and other risk factors. Conversely, for intracerebral hemorrhage, women had a higher in-hospital mortality rate than men (OR, 1.19 [95% CI, 1.02-1.40]); other independent predictors included age per year increase (OR, 1.009 [95% CI, 1.003-1.01]), chronic kidney disease (OR, 1.55 [95% CI, 1.23-1.97]), oral anticoagulant use (OR, 1.88 [95% CI, 1.37-2.58]), and other risk factors. Sex differences in characteristics and in-hospital death of hospitalized patients exist for acute stroke in Chile. In-hospital death is higher for acute ischemic stroke in men and higher for intracerebral hemorrhage in women. Future research is needed to better identify contributing factors.

Plant-based diets for kidney disease prevention and treatment.

Plant-based diets are associated with a lower risk of hypertension, diabetes, cardiovascular disease, and mortality. Using the most recent evidence, we critically appraised the role of plant-based diets in primary and secondary prevention of chronic kidney disease (CKD) with a focus on key nutritional factors (dietary acid load, phosphorus, potassium, sodium, and fiber). In healthy individuals, observational studies found that greater intake of plant protein and higher adherence to plant-based diets (overall, healthful, and provegetarian) was associated with a lower risk of CKD. In those with CKD, plant-based diets were associated with a lower risk of mortality, improved kidney function, and favorable metabolic profiles (fibroblast growth factor-23, uremic toxins, insulin sensitivity, inflammatory biomarkers). Only few studies reported nutrient content of plant-based diets. These studies found that plant-based diets had lower dietary acid load, lower or no significant difference in phosphorus and sodium, and higher potassium and fiber. One study reported that vegetarian diets were associated with severe vitamin D deficiency compared to nonvegetarian diets. Plant-based diets provide several benefits for prevention and management of CKD, with little risk for individuals with CKD. Incorporation of vitamin D rich foods in plant-based diets may be helpful.

Association between waist triglyceride index, body mass index, dietary inflammatory index, and triglyceride- glucose index with chronic kidney disease: the 1999-2018 cohort study from NHANES.

To compare the dietary inflammatory index (DII), triglyceride glucose index (TyG), waist triglyceride index (WTI), and body mass index (BMI) in predicting the survival of chronic kidney disease (CKD). Inclusion of 23,099 participants from the NHANES database who met specific criteria. Baseline was established using quartiles of DII index. The relationship between DII index, WTI index, TyG index, and BMI index with mortality rate in CKD patients was evaluated using Kaplan-Meier curves. Univariate and multivariate COX regression risk models were used to study the relationship between DII index, WTI index, and TyG index with mortality risk in CKD patients. Stratification of eGFR by age and gender was conducted to investigate the association between DII index, WTI index, and TyG index with mortality risk in CKD patients. Restricted cubic spline analysis was used to study the correlation between DII index, WTI index, and TyG index with mortality risk in CKD patients. The incidence of CKD increased with the increase of DII index, WTI index and TyG index. After multivariable adjustment, the fourth quartile of DII index, TyG index and WTI index showed the highest risk for CKD [DII: hazard ratio (HR) 1.36, 95% confidential interval (CI) (1.23-1.51); TyG: HR 1.21; 95% CI (1.07-1.37); WTI: HR 1.29; 95% CI (1.13-1.46)]. There was no difference in the risk of developing CKD between the obese group (BMI ≥24 kg/m2) and the normal weight group (P>0.05). This study has identified a significant association between elevated DII index, WTI index, and TyG index with the risk of CKD. Furthermore, the DII index demonstrated superior prognostic capability in predicting CKD compared to other indicators.

Neutrophil-percentage-to-albumin ratio is associated with chronic kidney disease: Evidence from NHANES 2009-2018.

The neutrophil-percentage-to-albumin ratio (NPAR), a novel inflammatory biomarker, has been used to predict the prognosis of patients with cancer and cardiovascular disease. However, the relationship between NPAR and chronic kidney disease (CKD) remains unknown. The purpose of this study was to investigate the possible association between NPAR and CKD. The cross-sectional study included participants with complete information on NPAR, serum creatinine (Scr), or urinary albumin-to-creatinine ratio (UACR) from the 2009-2018 National Health and Nutrition Examination Survey (NHANES). CKD was defined as the presence of either low estimated glomerular filtration rate (eGFR) or albuminuria. Univariate and multivariate logistic regression and restricted cubic spline regression were used to assess the linear and nonlinear associations between NPAR and renal function. Subgroup and interactive analyses were performed to explore potential interactive effects of covariates. Missing values were imputed using random forest. A total of 25,236 participants were enrolled in the study, of whom 4518 (17.9%) were diagnosed with CKD. After adjustment for covariates, the odds ratios (ORs) for prevalent CKD were 1.19 (95% CI = 1.07-1.31, p <0.05) for the Q2 group, 1.53 (95% CI = 1.39-1.69, p < 0.001) for the Q3 group, and 2.78 (95% CI = 2.53-3.05, p < 0.001) for the Q4 group. There was a significant interaction between age and diabetes mellitus on the association between NPAR and CKD (both p for interaction < 0.05). And there was a non-linear association between NPAR levels and CKD in the whole population (p for non-linear < 0.001). All sensitivity analyses supported the positive association between NPAR and CKD. NPAR was positively correlated with increased risk of CKD. The NPAR may serve as an available and cost-effective tool for identifying and intervening the individuals at risk of CKD.

Association of accelerometer-derived “weekend warrior” moderate to vigorous physical activity, chronic kidney disease and acute kidney injury

ObjectiveTo examine the relationship between an accelerometer-derived “weekend warrior” pattern, characterized by achieving the most moderate to vigorous physical activity (MVPA) over 1–2 days, as opposed to more evenly distributed patterns, with risk of chronic kidney disease (CKD) and acute kidney injury (AKI). Methods77,977 participants without prior kidney diseases and with usable accelerometer data (collected between 2013 and 2015) were included from the UK Biobank. Three physical activity patterns were compared: active weekend warrior pattern (achieving ≥150 min MVPA per week and accumulating ≥50 % of total MVPA in 1–2 days), active regular pattern (achieving ≥150 min MVPA but not meeting active weekend warrior criteria per week), and inactive pattern (<150 min MVPA per week). The study outcomes included incident CKD and AKI, ascertained through self-report data and data linkage with primary care, hospital admissions, and death registry records. ResultsDuring a median follow-up of 6.8 years, 1324 participants developed CKD and 1515 developed AKI. In multivariable-adjusted models, when compared with inactive participants, individuals with active weekend warrior pattern (CKD: hazard ratio [HR], 0.79, 95 % confidence interval [CI], 0.69–0.89; AKI: HR, 0.70, 95 %CI, 0.62–0.79) and those with active regular pattern (CKD: HR, 0.81, 95 %CI, 0.69–0.95; AKI: HR, 0.79, 95 %CI, 0.68–0.91) exhibited a similar and significantly lower risk of incident CKD and AKI. Similar findings were observed at the median threshold of ≥230.4 min of MVPA per week. ConclusionConcentrated MVPA within 1 to 2 days is as effective as distributed ones in decreasing the risk of renal outcomes.

Adiponectin-to-leptin ratio and incident chronic kidney disease: Sex and body composition-dependent association.

The association between the adiponectin-to-leptin ratio (A/L ratio) and the risk of incident chronic kidney disease (CKD) is poorly understood. This study aimed to investigate the association between A/L ratio and the risk of incident CKD and to examine whether such a relationship varied according to sex and body composition. In this prospective community-based cohort, participants with normal kidney function were analysed (N=5192). The association between the A/L ratio at baseline and the risk of incident CKD, defined as two or more occasions with an estimated glomerular filtration rate of <60mL/min/m2 or proteinuria of ≥1+ on a dipstick test during the follow-up period, was evaluated using multivariable Cox proportional hazards analyses. Subgroup analyses were conducted based on sex, body mass index (BMI) and the presence of sarcopenia. The participants' mean age was 57.2±8.3years, and 53.2% were women. The A/L ratio was higher in men compared with women (1.5 [0.8-3.2] and 0.5 [0.3-0.9] μg/ng, P<0.001). During a median follow-up of 9.8 [9.5-10.0] years, 417 incident CKD events occurred (8.7 per 1000 person-years). Men in the highest quartile of A/L ratio had a lower risk of incident CKD (adjusted hazard ratio [aHR], 0.57; 95% confidence interval [CI], 0.33-0.99) than those in the lowest quartile. Additionally, a 1.0 increase in A/L ratio was associated with a 12% decreased risk of incident CKD in men (aHR, 0.88; 95% CI, 0.80-0.97). However, no significant association was observed in women. In subgroup analysis stratified by BMI and the presence of sarcopenia, the association between a high A/L ratio and a reduced risk of incident CKD was consistent in men with a BMI<23.0kg/m2 and those with sarcopenia. However, no significant association was observed between men with a BMI≥23.0kg/m2 and those without sarcopenia. A high A/L ratio is an independent marker of a reduced risk of incident CKD in men, especially in those with a BMI<23.0kg/m2 and sarcopenia.

Quantitative gait markers and the TUG time in chronic kidney disease

BackgroundPoor gait performance results in more fall incidents among people with chronic kidney disease (CKD). It is unknown what specific quantitative gait markers contribute to high fall risk in CKD and the size of their mediation effects. MethodsWe included 634 participants from the Taizhou Imaging Study who had complete gait and laboratory data. Quantitative gait assessment was conducted with a wearable insole-like device. Factor analysis was utilized to summarize fifteen highly correlated individual parameters into five independent gait domains. Prevalent CKD was defined as an estimated glomerular filtration rate (eGFR) < 60 ml/min per 1.73 m2, which was calculated based on cystatin C. Regression models were created to examine the associations of prevalent CKD with quantitative gait markers and the TUG time. Mediation analysis was used to investigate whether poor quantitative gait parameters could be mediators and the proportion of their mediation effects. ResultsParticipants with prevalent CKD had a higher TUG time (odds ratio = 2.02, P = 0.025) and poor gait performance in the phase domain (standardized β = −0.391, FDR = 0.009), including less time in the swing phase (standardized β = −0.365, FDR = 0.027) and greater time in the double-support phase (standardized β = 0.367, FDR = 0.027). These abnormalities mediated the association of prevalent CKD with a high TUG time (for the swing phase: 31.6 %, Pmediation = 0.044; for the double-support phase: 29.6 %, Pmediation = 0.042; for the phase domain: 26.9 %, Pmediation = 0.048). ConclusionPoor phase-related gait abnormalities mediated the relationship between CKD and a high TUG time, suggesting that incorporating quantitative gait markers in specific domains may improve fall prevention programs for individuals with CKD.

Evaluation of MicroRNA 145 and MicroRNA 155 as Markers of Cardiovascular Risk in Chronic Kidney Disease.

Background Chronic kidney disease (CKD) leads to a progressive decline in renal function, primarily due to deteriorating kidney structures. Vascular calcificationis a key effect of CKD. MicroRNAs (miRNAs) play a significant role in the onset and progression of both cardiovascular illness and CKD. Aim The aim of this study was to compare biomarkers of endothelial dysfunction,25-hydroxyvitamin D (25(OH)D), intact parathyroid hormone (iPTH), miRNA 155, and miRNA 145, in patients with CKD versus controls. Methods We recruited 60 patients with CKD and 60 controls. All participants underwent brachial artery flow-mediated dilatation (FMD). Asymmetric dimethylarginine (ADMA) levels were measured using ELISA. Levels of miRNA 145 and miRNA 155 were quantified using real-time polymerase chain reaction (PCR). Results Serum levels of miRNA 145, miRNA 155, 25(OH)D, and FMD were significantly lower in CKD patients compared to controls. Conversely, serum ADMA and iPTH levels were significantly higher in CKD patients. There was a significant negative association between miRNA 145, miRNA 155, FMD, and 25(OH)D with ADMA and iPTH. Additionally, miRNA 145, miRNA 155, FMD, and 25(OH)D showed a significant positive correlation with estimated glomerular filtration rate (eGFR) and with each other. Conclusion Lower levels of miRNA 145 and miRNA 155 and increased endothelial dysfunction correlate with CKD severity, suggesting an accelerated risk for cardiovascular disease (CVD).

A methylation risk score for chronic kidney disease: a HyperGEN study

Chronic kidney disease (CKD) impacts about 1 in 7 adults in the United States, but African Americans (AAs) carry a disproportionately higher burden of disease. Epigenetic modifications, such as DNA methylation at cytosine-phosphate-guanine (CpG) sites, have been linked to kidney function and may have clinical utility in predicting the risk of CKD. Given the dynamic relationship between the epigenome, environment, and disease, AAs may be especially sensitive to environment-driven methylation alterations. Moreover, risk models incorporating CpG methylation have been shown to predict disease across multiple racial groups. In this study, we developed a methylation risk score (MRS) for CKD in cohorts of AAs. We selected nine CpG sites that were previously reported to be associated with estimated glomerular filtration rate (eGFR) in epigenome-wide association studies to construct a MRS in the Hypertension Genetic Epidemiology Network (HyperGEN). In logistic mixed models, the MRS was significantly associated with prevalent CKD and was robust to multiple sensitivity analyses, including CKD risk factors. There was modest replication in validation cohorts. In summary, we demonstrated that an eGFR-based CpG score is an independent predictor of prevalent CKD, suggesting that MRS should be further investigated for clinical utility in evaluating CKD risk and progression.

Association between lipid accumulation product index and chronic kidney disease: A systematic review and meta-analysis.

Diabetes mellitus and lipid metabolism disorders are increasingly recognized as key contributors to the development of chronic kidney disease (CKD). The lipid accumulation product (LAP) index, a novel marker of lipid accumulation, has potential implications for CKD risk assessment. The present meta-analysis aimed to assess the association between LAP index and CKD, with an emphasis on varying impacts in diabetic and non-diabetic populations. A comprehensive search for relevant publications was performed using PubMed/MEDLINE, Scopus, Cochrane Library, ScienceDirect and Google Scholar databases, and a meta-analysis of 17 studies was performed to investigate the relationship between LAP index and CKD. The random-effects inverse-variance model employing the DerSimonian-Laird estimator for τ² was utilized to calculate pooled odds ratios (ORs). Diagnostic accuracy was assessed using summary receiver operating characteristic (ROC) curves, with calculations of the area under the ROC curve (AUROC), sensitivity, specificity, likelihood ratios and diagnostic OR. The pooled OR for the association between higher quintiles or tertiles of LAP index and CKD was 1.098 (95% CI: 1.043-1.152), with substantial heterogeneity (I²=91.2%) and evidence of publication bias. Subgroup analysis revealed a stronger association in non-diabetic (OR=2.422, 95% CI: 1.802-3.042) compared with diabetic patients (OR=1.018, 95% CI: 0.993-1.043). The diagnostic accuracy of LAP index for CKD was moderate (AUROC=0.64), with sensitivity and specificity estimates of 0.58 and 0.63, respectively. In conclusion, in the present study, LAP index demonstrated a modest but significant association with CKD, particularly in non-diabetic patients. Despite its moderate diagnostic accuracy, the LAP index could serve as a valuable tool in CKD risk stratification, particularly when integrated with other clinical markers.

Trimethylamine N-Oxide and Related Gut Microbe-Derived Metabolites and Incident Heart Failure Development in Community-Based Populations.

Growing evidence indicates that trimethylamine N-oxide, a gut microbial metabolite of dietary choline and carnitine, promotes both cardiovascular disease and chronic kidney disease risk. It remains unclear how circulating concentrations of trimethylamine N-oxide and its related dietary and gut microbe-derived metabolites (choline, betaine, carnitine, γ-butyrobetaine, and crotonobetaine) affect incident heart failure (HF). We evaluated 11 768 participants from the Cardiovascular Health Study and the Multi-Ethnic Study of Atherosclerosis with serial measures of metabolites. Cox proportional hazard models were used to examine the associations between metabolites and incident HF, adjusted for cardiovascular disease risk factors. In all, 2102 cases of HF occurred over a median follow-up of 15.9 years. After adjusting for traditional risk factors, higher concentrations of trimethylamine N-oxide (hazard ratio, 1.15 [95% CI, 1.09-1.20]; P<0.001), choline (hazard ratio, 1.44 [95% CI, 1.26-1.64]; P<0.001), and crotonobetaine (hazard ratio, 1.24 [95% CI, 1.16-1.32]; P<0.001) were associated with increased risk for incident HF. After further adjustment for renal function (potential confounder or mediator), these associations did not reach Bonferroni-corrected statistical significance (P=0.01, 0.049, and 0.006, respectively). Betaine and carnitine were nominally associated with a higher incidence of HF (P<0.05). In exploratory analyses, results were similar for subtypes of HF based on left ventricular ejection fraction, and associations appeared generally stronger among Black and Hispanic/Latino versus White adults, although there were no interactions for any metabolites with race. In this pooled analysis of 2 well-phenotyped, diverse, community-based cohorts, circulating concentrations of gut microbe-derived metabolites such as trimethylamine N-oxide, choline, and crotonobetaine were independently associated with a higher risk of developing HF. URL: https://www.clinicaltrials.gov/; Unique identifiers: NCT00005133 and NCT00005487.

Association between dietary magnesium intake and incident chronic kidney disease: a prospective observational cohort study

BackgroundAlthough serum magnesium deficiency is linked to higher cardiovascular disease risk, its association with chronic kidney disease (CKD) remains unclear. ObjectivesThis study aimed to evaluate the relationship between dietary magnesium intake and CKD development in adults with clinically normal kidney function. MethodsThe prospective observational cohort study evaluated 188,510 participants (median age, 57.0 y; female, 54.1%) from the UK Biobank. Dietary magnesium intake was assessed through a 24-h dietary recall questionnaire compromising a list of 206 foods and 32 beverages and categorized into quintiles. The primary outcome was incident CKD diagnosed through International Classification of Diseases-10 and Office of Population Censuses and Surveys 4 codes. Incident CKD, defined as estimated glomerular filtration rate (eGFR) of <60 mL/min/1.73 m2, was also assessed in a subcohort with creatinine follow-up data. ResultsThe median magnesium intake amount per person was 323.2 mg/d [interquartile range (IQR): 269.4–382.7 mg/d]. During 1,826,038.1 person-years of follow-up (median: 9.6 y; IQR: 9.3–10.3 y), CKD developed in 5,878 participants. The incidence of CKD was progressively higher in participants with lower magnesium intake (2.8%, 2.8%, 3.0%, 3.2%, and 3.7% in Q5–Q1, respectively). Cox regression analysis revealed that the hazard ratios (HRs) for incident CKD increased in a stepwise manner toward lower magnesium intake quintiles {adjusted HR (95% confidence interval [CI])—Q4: 0.97 (0.89, 1.06); Q3: 1.05 (0.96, 1.14); Q2: 1.12 (1.03, 1.21); Q1: 1.30 (1.20, 1.41)} relative to Q5 (P-linearity < 0.001). Similar results were observed with eGFR-defined CKD outcome [adjusted HR (95% CI)—Q4: 1.09 (0.92, 1.28); Q3: 1.15 (0.98, 1.35); Q2: 1.21 (1.03, 1.42); Q1: 1.41 (1.20, 1.65) relative to Q5; P-linearity < 0.001]. ConclusionsLower dietary magnesium intake was associated with higher risk of incident CKD in adults with clinically normal kidney function. Further controlled studies are required to establish the potential benefit of adequate magnesium intake.

Clinical characteristics and complication risks in data-driven clusters among Chinese community diabetes populations.

Novel diabetes phenotypes were proposed by the Europeans through cluster analysis, but Chinese community diabetes populations might exhibit different characteristics. This study aims to explore the clinical characteristics of novel diabetes subgroups under data-driven analysis in Chinese community diabetes populations. We used K-means cluster analysis in 6369 newly diagnosed diabetic patients from eight centers of the REACTION (Risk Evaluation of cAncers in Chinese diabeTic Individuals) study. The cluster analysis was performed based on age, body mass index, glycosylated hemoglobin, homeostatic modeled insulin resistance index, and homeostatic modeled pancreatic β-cell functionality index. The clinical features were evaluated with the analysis of variance (ANOVA) and chi-square test. Logistic regression analysis was done to compare chronic kidney disease and cardiovascular disease risks between subgroups. Overall, 2063 (32.39%), 658 (10.33%), 1769 (27.78%), and 1879 (29.50%) populations were assigned to severe obesity-related and insulin-resistant diabetes (SOIRD), severe insulin-deficient diabetes (SIDD), mild age-associated diabetes mellitus (MARD), and mild insulin-deficient diabetes (MIDD) subgroups, respectively. Individuals in the MIDD subgroup had a low risk burden equivalent to prediabetes, but with reduced insulin secretion. Individuals in the SOIRD subgroup were obese, had insulin resistance, and a high prevalence of fatty liver, tumors, family history of diabetes, and tumors. Individuals in the SIDD subgroup had severe insulin deficiency, the poorest glycemic control, and the highest prevalence of dyslipidemia and diabetic nephropathy. Individuals in MARD subgroup were the oldest, had moderate metabolic dysregulation and the highest risk of cardiovascular disease. The data-driven approach to differentiating the status of new-onset diabetes in the Chinese community was feasible. Patients in different clusters presented different characteristics and risks of complications.

Incidence rate of chronic kidney disease and its association with long-term nonsteroidal anti-inflammatory drug use in ankylosing spondylitis: A nationwide population-based study.

Ankylosing spondylitis (AS) predominantly affects the spine and sacroiliac joints, with rare renal involvement. We investigated the incidence rate and risk factors for chronic kidney disease (CKD) in patients with AS and its relationship with long-term nonsteroidal anti-inflammatory drug (NSAID) use. We retrospectively analyzed data of patients diagnosed with AS from the Korean National Health Insurance service. The 3-month, 6-month, and 1-year Assessment of SpondyloArthritis International Society (ASAS) NSAID Intake Scores were categorized into four groups, as follows: =0, >0 and ≤33.3, 33.3-66.6, and >66.6. Of the 12 000 patients with AS, 150 were identified with CKD, and the incidence rate was 4.64 per 10 000 patient-years. Factors significantly associated with CKD included age ≥60 years, Charlson Comorbidity Index, hypertension, and diabetes mellitus. In the nested case-control analysis, among the ASAS NSAIDs Intake Scores for 0-365 days from diagnosis, the ≥66.6 group had a significantly lower odds ratio than those of the =0 group. The present study established the incidence rate of CKD in Korean patients with AS. Though older age and comorbidities were found to be associated with a higher CKD risk, long-term NSAID use was associated with a lower risk. Therefore, the optimal use of NSAIDs in inflammatory diseases requires extensive research.

HEalthRecordBERT (HERBERT): Leveraging Transformers on Electronic Health Records for Chronic Kidney Disease Risk Stratification

Risk stratification is an essential tool in the fight against many diseases, including chronic kidney disease. Recent work has focused on applying techniques from machine learning and leveraging the information contained in a patient’s electronic health record (EHR). Irregular intervals between data entries and the large number of variables tracked in EHR datasets can make them challenging to work with. Many of the difficulties associated with these datasets can be overcome by using large language models, such as bidirectional encoder representations from transformers (BERT). Previous attempts to apply BERT to EHR for risk stratification have shown promise. In this work we propose HERBERT, a novel application of BERT to EHR data. We identify two key areas where BERT models must be modified to adapt them to EHR data, namely: the embedding layer and the pretraining task. We show how changes to these can lead to improved performance, relative to the previous state of the art. We evaluate our model by predicting the transition of chronic kidney disease patients to end stage renal disease. The strong performance of our model justifies our architectural changes and suggests that large language models could play an important role in future renal risk stratification.