Renal Failure最新文献

{"title":"Construction of a C-reactive protein-albumin-lymphocyte index-based prediction model for all-cause mortality in patients on maintenance hemodialysis.","authors":"Junmin Huang, Junfeng Hao, Huasheng Luo, Lu Chen, Hongying Luo, Huafeng Liu, Yongzhi Xu, Peng Wang","doi":"10.1080/0886022X.2024.2444396","DOIUrl":"10.1080/0886022X.2024.2444396","url":null,"abstract":"<p><strong>Objective: </strong>The mortality rate of patients undergoing maintenance hemodialysis (MHD) remains high. The C-reactive protein-albumin-lymphocyte (CALLY) index is a novel biomarker that reflects inflammation, nutritional and immune status, all merged into one single derived parameter. No study has yet linked the CALLY index to survival in hemodialysis. This study aims to explore the correlation between the CALLY index and mortality in MHD patients, and develop and validate a nomogram to estimate the likelihood of death in this population.</p><p><strong>Methods: </strong>This retrospective cohort study collected data from 436 patients and they were divided into survival group (<i>n</i> = 335) and non-survival group (<i>n</i> = 101). Multivariate logistic regression analysis was used to screen factors associated with death, and nomograms were developed to estimate the risk of death in MHD patients. The discrimination and calibration of nomograms were validated using the area under the receiver operating characteristic (ROC) curve (AUC) and calibration curve. In the study, stratification analysis and covariate adjustment were conducted to explore the correlation between the CALLY index and the mortality of MHD patients.</p><p><strong>Results: </strong>In the final model, logistic regression showed that the CALLY index, creatinine, triglycerides, dialysis duration, absolute neutrophil count, blood urea nitrogen, sodium and ferritin were variables associated with mortality in MHD patients. A nomogram was developed to assess the risk of death in MHD patients. The AUC of the model was 0.821 (95% CI: 0.778-0.861). The results of stratified analysis and calibration model showed that the CALLY index was a protective factor for maintaining the mortality of MHD patients.</p><p><strong>Conclusions: </strong>The CALLY index is closely related to the mortality of MHD patients. A nomogram constructed based on CALLY index can effectively evaluate the mortality risk of MHD patients.</p>","PeriodicalId":20839,"journal":{"name":"Renal Failure","volume":"47 1","pages":"2444396"},"PeriodicalIF":3.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11734386/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142984616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Public interest in chronic kidney disease and dialysis: a 20-year data analysis.","authors":"Jose Arriola-Montenegro, Wisit Cheungpasitporn, Charat Thongprayoon, Iasmina M Craici, Jing Miao","doi":"10.1080/0886022X.2025.2462253","DOIUrl":"10.1080/0886022X.2025.2462253","url":null,"abstract":"<p><p>Chronic kidney disease (CKD) is a growing global health challenge. As the disease progresses, it can lead to end-stage renal disease, necessitating dialysis or kidney transplantation. However, access to these life-saving treatments is often limited by geographic, financial, and resource constraints, underscoring the importance of public awareness and interest. This study examined global and U.S. search trends related to CKD and dialysis using Google Trends™ data from 2004 to 2024. Public search activity was measured using the Relative Search Interest (RSI) index, which ranges from 0 to 100. Both CKD and dialysis exhibited an upward trend in search activity worldwide and in the U.S., as indicated by a positive slope in linear regression analysis (all <i>p</i> < .0001), though some fluctuations and regional differences were observed. Pearson's correlation analysis demonstrated a strong relationship between the U.S. dialysis RSI scores from Google Trends and real-world dialysis incidence rates from the United States Renal Data System (USRDS) (<i>r</i> = 0.961, <i>p</i> < .0001). Notably, in 2020, search activity for both CKD and dialysis declined, likely due to disruptions caused by the COVID-19 pandemic. The study highlights the potential of Google Trends as a valuable tool for assessing public interest and awareness of kidney health, providing insights that can inform public health strategies and educational initiatives. However, relying solely on Google Trends data to assess public interest is insufficient, due to inherent limitations and biases. Findings derived from search trends should be interpreted with caution and ideally supplemented with additional research methodologies.</p>","PeriodicalId":20839,"journal":{"name":"Renal Failure","volume":"47 1","pages":"2462253"},"PeriodicalIF":3.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11834807/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143433566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Risk prediction for acute kidney disease and adverse outcomes in patients with chronic obstructive pulmonary disease: an interpretable machine learning approach.","authors":"Siqi Jiang, Lingyu Xu, Xinyuan Wang, Chenyu Li, Chen Guan, Lin Che, Yanfei Wang, Xuefei Shen, Yan Xu","doi":"10.1080/0886022X.2025.2485475","DOIUrl":"10.1080/0886022X.2025.2485475","url":null,"abstract":"<p><strong>Background: </strong>Little is known about acute kidney injury (AKI) and acute kidney disease (AKD) in patients with chronic obstructive pulmonary disease (COPD) and COPD mortality based on the acute/subacute renal injury. This study develops machine learning models to predict AKI, AKD, and mortality in COPD patients, utilizing web applications for clinical decisions.</p><p><strong>Methods: </strong>We included 2,829 inpatients from January 2016 to December 2018. Data were split into 80% for training and 20% for testing. Eight machine learning algorithms were used, and model performance was evaluated using various metrics. SHAP was used to visualize the decision process. The best models, assessed using AUROC were used to develop web applications for identifying high-risk patients.</p><p><strong>Results: </strong>The incidence rates were 13.71% for AKI and 15.11% for AKD. The overall mortality rate was 4.84%. LightGBM performed best with AUROC of 0.815, 0.827, and 0.934 in AKI, AKD, and mortality, respectively. Key predictors for AKI were Scr, neutrophil percentage, cystatin c, BUN, and LDH. For AKD, the key predictors were age, AKI grade, HDL-C, Scr, and BUN. The key predictors for mortality included the use of dopamine and epinephrine drugs, cystatin c, renal function trajectory, albumin, and neutrophil percentage. Force plots visualized the prediction process for individual patients.</p><p><strong>Conclusions: </strong>The incidence of AKI and AKD is significant in patients with COPD. Renal function trajectory is crucial for predicting mortality in these patients. Web applications were developed to predict AKI, AKD, and mortality, improving prognosis by identifying high-risk patients and reducing adverse events and disease progression.</p>","PeriodicalId":20839,"journal":{"name":"Renal Failure","volume":"47 1","pages":"2485475"},"PeriodicalIF":3.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11983531/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143804166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association between weight change across adulthood and risk of chronic kidney disease: NHANES 1999-2020.","authors":"Xunliang Li, Mengqian Liu, Qihui Ye, Jiaxin Zhu, Wenman Zhao, Haifeng Pan, Deguang Wang","doi":"10.1080/0886022X.2024.2448261","DOIUrl":"10.1080/0886022X.2024.2448261","url":null,"abstract":"<p><strong>Background: </strong>Obesity is a recognized risk factor for chronic kidney disease (CKD), but whether weight change is associated with CKD remains unclear. This research aimed to investigate the relationship between weight change patterns across adulthood and the risk of CKD.</p><p><strong>Methods: </strong>Data for 34,187 adults participating in the National Health and Nutrition Examination Survey 1999-2020 were analyzed. The weight change patterns of participants were assessed across different time intervals, including transitions from obesity to non-obesity, non-obesity to obesity, and remaining stable obesity. Absolute weight changes were also analyzed, categorizing participants into various weight gain and loss groups. Furthermore, stratified analyses were conducted to explore potential interactions between age, sex, and smoking status about CKD risk.</p><p><strong>Results: </strong>The study found that individuals transitioning from obesity to non-obesity, non-obesity to obesity, and remaining stable obesity had an elevated risk of developing CKD throughout adulthood compared to those maintaining stable non-obesity weight patterns. Moreover, a J-shaped or U-shaped relationship was observed between CKD risk and absolute weight changes, with both extreme weight gain (≥20 kg) and substantial weight loss (>2.5 kg) associated with increased CKD risk. Stratified analyses revealed that age and sex played significant roles in these associations, with stronger effects observed among participants under 60 years at baseline.</p><p><strong>Conclusions: </strong>This study underscores the link between weight change across adulthood and the risk of CKD. Maintaining a stable weight and avoiding extreme weight fluctuations may reduce CKD risk. These insights can be considered when developing CKD prevention and management strategies.</p>","PeriodicalId":20839,"journal":{"name":"Renal Failure","volume":"47 1","pages":"2448261"},"PeriodicalIF":3.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11792130/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143080785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dietary habits and risk of diabetic kidney disease: a two-sample and multivariate Mendelian randomization study.","authors":"Ziqi Zhang, Jieyu Niu, Wenhao Sun, Yuqing Sun, Ying Tan, Jiangyi Yu","doi":"10.1080/0886022X.2024.2438848","DOIUrl":"10.1080/0886022X.2024.2438848","url":null,"abstract":"<p><strong>Objective: </strong>We explored the causal relationship between certain dietary habits and the risk of developing diabetic kidney disease (DKD) using two-sample Mendelian randomization and multivariate Mendelian randomization.</p><p><strong>Research design and methods: </strong>This study is based on pooled data from a genome-wide association study (GWAS) of 83 dietary habits in a European population. We performed a two-sample Mendelian randomization analysis using GAWS data on diabetic nephropathy in a European population. Validation was then performed against positive results (<i>p</i> < 0.05) in different GAWS data on diabetic nephropathy of European origin. Finally, multivariate Mendelian randomization analyses were performed on dietary habits with positive results (<i>p</i> < 0.05) in both datasets and GWAS data on postprandial glucose in the European population.</p><p><strong>Results: </strong>This study showed causal relationships between 18 dietary habits and the risk of developing DKD. After validation, causal relationships were found between the risk of DKD and two dietary habits: abstaining from sugar consumption (OR 2.86; 95%CI 1.35, 6.08; <i>p</i> = 0.006) and consuming whole grain/multigrain bread (OR 0.53; 95%CI 0.32, 0.89; <i>p</i> = 0.016). Correcting for the effect of postprandial glucose, the multivariate MR results showed that never eating sugar increased the risk of developing DKD (OR 0.08; 95%CI 0.018, 0.36; <i>p</i> = 0.001), whereas eating whole grain/multigrain bread did not reduce the risk of developing DKD (OR 1.37; 95%CI 0.55, 3.41; <i>p</i> = 0.50).</p><p><strong>Conclusions: </strong>Our MR results suggest a causal relationship between never eating sugar and an increased risk of developing DKD. Therefore, people with diabetes need a reasonable range of sugar intake.</p>","PeriodicalId":20839,"journal":{"name":"Renal Failure","volume":"47 1","pages":"2438848"},"PeriodicalIF":3.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11912233/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143617147","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Heart failure subphenotypes based on mean arterial pressure trajectory identify patients at increased risk of acute kidney injury.","authors":"Xiya Wang, Wenqing Ji, Shuxing Wei, Zhong Dai, Xinzhen Gao, Xue Mei, Shubin Guo","doi":"10.1080/0886022X.2025.2452205","DOIUrl":"10.1080/0886022X.2025.2452205","url":null,"abstract":"<p><strong>Background: </strong>Acute kidney injury (AKI) is a common complication in heart failure (HF) patients. Patients with heart failure who experience renal injury tend to have a poor prognosis. The objective of this study is to examine the correlation between the occurrence of AKI in heart failure patients and different mean arterial pressure (MAP) trajectories, with the goal of improving early identification and intervention for AKI.</p><p><strong>Methods: </strong>A retrospective study was conducted on patients with heart failure using data from the Medical Information Mart for Intensive Care IV (MIMIC-IV). We utilized the group-based trajectory modeling (GBTM) method to classify the 24-hour MAP change trajectories in heart failure patients. The occurrence of AKI within the first 7 days of intensive care unit (ICU) admission was considered the outcome. The impact of MAP trajectories on AKI occurrence in heart failure patients was analyzed using Cox proportional hazards models, competing risk models, and doubly robust estimation methods.</p><p><strong>Results: </strong>A cohort of 8,502 HF patients was analyzed, with their 24-hour MAP trajectories categorized into five groups: Low MAP group (Class 1), Medium MAP group (Class 2), Low-medium MAP group (Class 3), High-to-low MAP group (Class 4), and High MAP group (Class 5). The results from the doubly robust analysis revealed that Class 4 exhibited a significantly increased AKI risk than Class 3 (HR 1.284, 95% CI 1.085-1.521, <i>p</i> = 0.003; HR 1.271, 95% CI 1.074-1.505, <i>p</i> = 0.005). Conversely, the risks of Class 2 were significantly lower than those of Class 3 (HR 0.846, 95% CI 0.745-0.960, <i>p</i> = 0.009; HR 0.879, 95% CI 0.774-0.998, <i>p</i> = 0.047).</p><p><strong>Conclusions: </strong>The 24-hour MAP trajectory in HF patients influences the risk of AKI. A rapid decrease in MAP (Class 4) is associated with a higher AKI risk, while maintaining MAP at a moderate level (Class 2) significantly reduces this risk. Therefore, closely monitoring MAP changes is crucial for preventing AKI in HF.</p>","PeriodicalId":20839,"journal":{"name":"Renal Failure","volume":"47 1","pages":"2452205"},"PeriodicalIF":3.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11749146/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143010485","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association between the difference in estimated GFR based on cystatin C versus creatinine in coronary artery diseases.","authors":"Zechen Liu, Wangying Jiang, Yanjun Song, Kefei Dou, Weihua Song","doi":"10.1080/0886022X.2025.2482127","DOIUrl":"https://doi.org/10.1080/0886022X.2025.2482127","url":null,"abstract":"<p><strong>Background: </strong>The difference in estimated glomerular filtration rate (eGFR) derived from creatinine and cystatin C (eGFR_diff) has been noticed recently and the relationship with poor cardiovascular prognosis has been proven. However, primary prevention of the risk of coronary artery disease (CAD) is equally important but there is a lack of studies specifically investigating this implication.</p><p><strong>Methods: </strong>This prospective cohort study utilized data from the UK Biobank, including 437,536 participants without CAD at baseline. The primary outcome was defined as CAD. The eGFR_diff was calculated by subtracting creatinine-based eGFR from cystatin C-based eGFR. Participants were then categorized into a negative, intermediate range, and positive group based on thresholds of -15 mL/min/1.73 m² and 15 mL/min/1.73 m². Cox proportional risk models were used to evaluate the associations of eGFR_diff with CAD and the relationship among different genetic risks of CAD.</p><p><strong>Results: </strong>During a median follow-up of 13.8 years, CAD occurred in 36,797 participants. In the fully adjusted model, compared to midrange eGFR_diff, participants with a positive eGFR_diff had a lower risk of CAD (HR 0.717, 95%CI 0.675-0.762), while with a negative eGFR_diff had a higher risk (HR 1.433, 95%CI 1.399-1.468). When eGFR_diff was treated as a continuous variable, a statistically significant trend toward a lower risk of CAD as eGFR_diff increased (HR 0.982, 95% CI 0.981-0.982). Moreover, this relationship is independent of genetic susceptibility.</p><p><strong>Conclusions: </strong>eGFR_diff was associated with CAD risk, where a high eGFR_diff corresponded to a decreased likelihood of CAD onset no matter genetic susceptibility.</p>","PeriodicalId":20839,"journal":{"name":"Renal Failure","volume":"47 1","pages":"2482127"},"PeriodicalIF":3.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12042239/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144042441","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The value of triglyceride glucose-body mass index, fasting blood glucose to HDL-C ratio, and platelet to HDL-C ratio in predicting abdominal aortic calcification in maintenance hemodialysis patients.","authors":"Shanshan Chen, Qianqian Cao, Shuangshan Bu, Lingyuan Xu, Zijun Zhou, Yuemeng Wu, Huanhuan Zheng","doi":"10.1080/0886022X.2025.2505699","DOIUrl":"https://doi.org/10.1080/0886022X.2025.2505699","url":null,"abstract":"<p><strong>Background: </strong>The triglyceride glucose-body mass index (TyG-BMI), fasting blood glucose (FBG) to high-density lipoprotein cholesterol (HDL-C) ratio (GHR), and platelet (PLT) to HDL-C ratio (PHR) are well-established markers of insulin resistance (IR), closely linked to cardiovascular and cerebrovascular diseases. Abdominal aortic calcification (AAC), a key indicator of subclinical atherosclerotic, is highly prevalent in maintenance hemodialysis (MHD) patients. This study aimed to explore the cross-sectional relationship between these IR indices and AAC in MHD patients and identify the most reliable predictive marker.</p><p><strong>Methods: </strong>We recruited 391 MHD patients from two hemodialysis medical centers, with 297 meeting the inclusion criteria. AAC was detected via X-ray scanning of the lumbar spine, quantified by the Kauppila scoring system. Receiver operating characteristic (ROC) curve analysis determined optimal cutoff values for dividing the subjects into high-index and low-index groups. Multivariable logistic regression models evaluated the association between AAC and these IR indices.</p><p><strong>Results: </strong>The prevalence of AAC in the whole group was 72.4%. The occurrence of AAC in the high-index group was significantly higher than that in the low-index group. Among the three IR indices, PHR demonstrated the highest predictive stability when integrated into a combined model. Subgroup analyses confirmed the robustness of this association across different age groups, sex, hypertension levels, comorbidities (CVD and stroke history), and smoking status.</p><p><strong>Conclusion: </strong>TyG-BMI, GHR and PHR were independently associated with the presence of AAC among MHD patients. Notably, PHR showed the strongest correlation with AAC, suggesting its potential clinical utility in risk stratification.</p>","PeriodicalId":20839,"journal":{"name":"Renal Failure","volume":"47 1","pages":"2505699"},"PeriodicalIF":3.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144151310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of gut microbiota in chronic kidney disease: natural polyphenols as beneficial regulators.","authors":"Cheng Li, Xulong Chen, Weiwei Zha, Sitian Fang, Jiangwen Shen, Lin Li, Hongli Jiang, PuXun Tian","doi":"10.1080/0886022X.2025.2506810","DOIUrl":"https://doi.org/10.1080/0886022X.2025.2506810","url":null,"abstract":"<p><p>Chronic kidney disease (CKD) poses a severe health risk with high morbidity and mortality, profoundly affecting patient quality of life and survival. Despite advancements in research, the pathophysiology of CKD remains incompletely understood. Growing evidence links CKD with shifts in gut microbiota function and composition. Natural compounds, particularly polyphenols, have shown promise in CKD treatment due to their antioxidant and anti-inflammatory properties and their ability to modulate gut microbiota. This review discusses recent progress in uncovering the connections between gut microbiota and CKD, including microbiota changes across different kidney diseases. We also examine metabolite alterations,such as trimethylamine-N-oxide, tryptophan derivatives, branched-chain amino acids, short-chain fatty acids, and bile acids,which contribute to CKD progression. Further, we outline the mechanisms through which polyphenols exert therapeutic effects on CKD, focusing on signaling pathways like nuclear factor kappa-B (NF-κB), mitogen-activated protein kinase (MAPK), mammalian target of rapamycin (mTOR), NOD-like receptor thermal protein domain associated protein 3 (NLRP3), phosphatidylin-ositol-3-kinase (PI3K)/protein kinase B (Akt), and toll like receptors (TLR), as well as their impact on gut microbiota. Lastly, we consider how dietary polyphenols could be harnessed as bioactive drugs to slow CKD progression. Future research should prioritize multi-omics approaches to identify patients who would benefit from polyphenolic interventions, enabling personalized treatment strategies to enhance therapeutic efficacy.</p>","PeriodicalId":20839,"journal":{"name":"Renal Failure","volume":"47 1","pages":"2506810"},"PeriodicalIF":3.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144179993","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigation of the connection between triglyceride-glucose (TyG) index and the risk of acute kidney injury in septic patients - a retrospective analysis utilizing the MIMIC-IV database.","authors":"Pirun Zhang, Wenli Zhang, Yan Han, Tong Yang, Jiayi Zhong, Han Yun, Lai Fang","doi":"10.1080/0886022X.2024.2449199","DOIUrl":"10.1080/0886022X.2024.2449199","url":null,"abstract":"<p><p>The TyG index serves as a valuable tool for evaluating insulin resistance. An elevated TyG has shown a strong association with the occurrence of acute kidney injury (AKI). Nevertheless, existing literature does not address the relationship between the TyG index and acute kidney injury in patients with sepsis. Sepsis patients were identified from the MIMIC-IV database and categorized into four groups according to quadrilles of their TyG index values. The primary outcome of this study was the incidence of AKI. The relationship between the TyG index and the risk of AKI in septic patients was evaluated using Cox proportional hazards and restricted cubic spline models. Subgroup analyses were conducted to investigate the prognostic value of the TyG index in different subgroups. A total of 2,616 patients with sepsis (57% of whom were male) were included in this study. The incidence of AKI was found to be 78%. Cox proportional hazards analysis revealed a significant correlation between the TyG index and the occurrence of AKI in septic patients. Furthermore, a restricted cubic spline model revealed an approximately linear relationship between a higher TyG index and an elevated risk of AKI in septic patients. The trend of the hazard ratio (HR) remained consistent across various subgroups. These findings emphasize the reliability of the TyG index as an independent predictor for the occurrence of AKI and unfavorable renal outcomes in sepsis patients. Nevertheless, establishing a causal relationship between the two requires demonstration through larger prospective studies.</p>","PeriodicalId":20839,"journal":{"name":"Renal Failure","volume":"47 1","pages":"2449199"},"PeriodicalIF":3.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11721622/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142962430","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}