cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.26975159.v1
title: Association between serum calcium level and the risk of acute kidney injury in patients with acute myocardial infarction: evidences from the MIMIC-IV database

description: This cohort study was to assess the association between serum calcium levels and the risk of acute kidney injury (AKI) in acute myocardial infarction (AMI) patients. This study was analyzed using data of 1286 AMI patients aged ≥18 years who stayed in ICU more than 24 h in Medical Information Mart for Intensive Care IV (MIMIC-IV) database. Univariable logistic regression model was established to identify potential covariates. Univariate and multivariable logistic regression models were used to analyze the association between serum calcium and the risk of AKI in patients with AMI. The association between serum calcium and the risk of AKI in patients with AMI was also shown by restricted cubic spline (RCS) plot. Odds ratio (OR) and 95% confidence interval (CI) were calculated. The median follow-up time was 1.61 (1.23, 2.30) days, and 436 (33.90%) participants had AKI at the end of follow-up. After adjusting for covariates, elevated level of serum calcium level was related to reduced risk of AKI in AMI patients (OR = 0.88, 95%CI: 0.80–0.98). Decreased risk of AKI was found in AMI patients with serum calcium level of 8.40–8.90 mg/dL (OR = 0.54, 95%CI: 0.34–0.86) or ≥8.90 mg/dL (OR = 0.60, 95%CI: 0.37–0.99). The RCS plot depicted that serum calcium level was negatively correlated with the risk of AKI in patients with AMI. AMI patients with AKI had lower serum calcium levels compared with those without AKI. Increased serum calcium level was associated with decreased risk of AKI in patients with AMI.
DOI: 10.6084/m9.figshare.27188538
title: Development, validation, and visualization of a web-based nomogram for predicting chronic kidney disease incidence at health examination centers

description: To develop and validate a web-based nomogram for predicting new incident chronic kidney disease (CKD) within 4 years in a cohort undergoing routine physical examination from two health examination centers. One center was utilized for training and internal validation of a nomogram model involving 6515 patients, while a separate center was employed for external validation with 3152 patients. Sixteen candidate predictors, including patient demographics, medical histories, physical examination, and laboratory test data, were included in this study to ascertain factors linked to new incident CKD. A nomogram was created to predict CKD risks using a logistic model. The nomogram’s performance was assessed using the area under the receiver operating characteristic curve (AUC), calibration plot, and decision curve analysis. Out of the 9667 healthy individuals included in the study with mean age of 46 years, sex ratio (male/female) of 1.69 (6075/3592), 118 (2.59%), 51 (2.61%), and 60 (1.90%) individuals developed CKD in the training (<i>n</i> = 4563), internal validation (<i>n</i> = 1952), and external validation (<i>n</i> = 3152) datasets, respectively. Age, history of diabetes mellitus, systolic blood pressure, serum creatinine, albumin, and triglyceride levels were used to build the nomogram, which yielded excellent discrimination ability (training cohort, AUC = 0.8806, 95% confidence interval [CI] 0.8472–0.9141; internal validation cohort, AUC = 0.8506, 95% CI 0.7856–0.9156; external validation cohort, AUC = 0.9183, 95% CI 0.8698–0.9669). We further developed a web-based calculator for convenient application (https://luochuxuan.shinyapps.io/dynnomapp/). Our web-based nomogram accurately predicted CKD risks in Chinese health individuals and can be easily used in clinical settings.
DOI: 10.6084/m9.figshare.27188538.v1
title: Development, validation, and visualization of a web-based nomogram for predicting chronic kidney disease incidence at health examination centers

description: To develop and validate a web-based nomogram for predicting new incident chronic kidney disease (CKD) within 4 years in a cohort undergoing routine physical examination from two health examination centers. One center was utilized for training and internal validation of a nomogram model involving 6515 patients, while a separate center was employed for external validation with 3152 patients. Sixteen candidate predictors, including patient demographics, medical histories, physical examination, and laboratory test data, were included in this study to ascertain factors linked to new incident CKD. A nomogram was created to predict CKD risks using a logistic model. The nomogram’s performance was assessed using the area under the receiver operating characteristic curve (AUC), calibration plot, and decision curve analysis. Out of the 9667 healthy individuals included in the study with mean age of 46 years, sex ratio (male/female) of 1.69 (6075/3592), 118 (2.59%), 51 (2.61%), and 60 (1.90%) individuals developed CKD in the training (<i>n</i> = 4563), internal validation (<i>n</i> = 1952), and external validation (<i>n</i> = 3152) datasets, respectively. Age, history of diabetes mellitus, systolic blood pressure, serum creatinine, albumin, and triglyceride levels were used to build the nomogram, which yielded excellent discrimination ability (training cohort, AUC = 0.8806, 95% confidence interval [CI] 0.8472–0.9141; internal validation cohort, AUC = 0.8506, 95% CI 0.7856–0.9156; external validation cohort, AUC = 0.9183, 95% CI 0.8698–0.9669). We further developed a web-based calculator for convenient application (https://luochuxuan.shinyapps.io/dynnomapp/). Our web-based nomogram accurately predicted CKD risks in Chinese health individuals and can be easily used in clinical settings.
DOI: 10.6084/m9.figshare.28244023
title: Acute kidney disease in mice is associated with early cardiovascular dysfunction

description: Acute kidney injury (AKI) and chronic kidney disease (CKD) are major health concerns due to their increasing incidence and high mortality. They are interconnected syndromes; AKI without recovery evolves into acute kidney disease (AKD), which can indicate an AKI-to-CKD transition. Both AKI and CKD are associated with a risk of long-term cardiovascular complications, but whether vascular and cardiac dysfunctions can occur as early as the AKD period has not been studied extensively. In a mouse model of kidney injury (KI) with non-recovery, we performed vasoreactivity and echocardiography analyses on days 15 (D15) and 45 (D45) after KI. We determined the concentrations of two major gut-derived protein-bound uremic toxins known to induce cardiovascular toxicity—indoxyl sulfate (IS) and para-cresyl sulfate (PCS)—and the levels of inflammation and contraction markers on D7, D15, and D45. Mice with KI showed acute tubular and interstitial kidney lesions on D7 and D15 and chronic glomerulosclerosis on D45. They showed significant impairment of aorta relaxation and systolic-diastolic heart function, both on D15 and D45. Such dysfunction was associated with downregulation of the expression of two contractile proteins, αSMA and SERCA2a, with a more pronounced effect on D15 than on D45. KI was also followed by a rapid increase in IS and PCS serum concentrations and the expression induction of pro-inflammatory cytokines and endothelial adhesion molecules in serum and cardiovascular tissues. Therefore, these results highlight that AKD leads to early cardiac and vascular dysfunctions. How these dysfunctions could be managed to prevent cardiovascular events deserves further study.
DOI: 10.6084/m9.figshare.28244023.v1
title: Acute kidney disease in mice is associated with early cardiovascular dysfunction

description: Acute kidney injury (AKI) and chronic kidney disease (CKD) are major health concerns due to their increasing incidence and high mortality. They are interconnected syndromes; AKI without recovery evolves into acute kidney disease (AKD), which can indicate an AKI-to-CKD transition. Both AKI and CKD are associated with a risk of long-term cardiovascular complications, but whether vascular and cardiac dysfunctions can occur as early as the AKD period has not been studied extensively. In a mouse model of kidney injury (KI) with non-recovery, we performed vasoreactivity and echocardiography analyses on days 15 (D15) and 45 (D45) after KI. We determined the concentrations of two major gut-derived protein-bound uremic toxins known to induce cardiovascular toxicity—indoxyl sulfate (IS) and para-cresyl sulfate (PCS)—and the levels of inflammation and contraction markers on D7, D15, and D45. Mice with KI showed acute tubular and interstitial kidney lesions on D7 and D15 and chronic glomerulosclerosis on D45. They showed significant impairment of aorta relaxation and systolic-diastolic heart function, both on D15 and D45. Such dysfunction was associated with downregulation of the expression of two contractile proteins, αSMA and SERCA2a, with a more pronounced effect on D15 than on D45. KI was also followed by a rapid increase in IS and PCS serum concentrations and the expression induction of pro-inflammatory cytokines and endothelial adhesion molecules in serum and cardiovascular tissues. Therefore, these results highlight that AKD leads to early cardiac and vascular dysfunctions. How these dysfunctions could be managed to prevent cardiovascular events deserves further study.
DOI: 10.6084/m9.figshare.25965338
title: Association between the gut microbiota and diabetic nephropathy: a two-sample Mendelian randomization study

description: Numerous studies have revealed a correlation between the risk of developing diabetic nephropathy (DN) and the gut microbiota (GM) composition. However, it remains uncertain whether the GM composition causes DN. We aimed to explore any potential causal links between the GM composition and the risk of developing DN. A meta-analysis conducted by the MiBioGen consortium of the largest genome-wide association study (GWAS) provided aggregated data on the GM. DN data were obtained from the IEU database. The inverse-variance weighting (IVW) method was employed as the primary analytical approach. The IVW analysis indicated that genus <i>Dialister</i> (OR = 0.51, 95% CI: 0.34–0.77, <i>p</i> = 0.00118) was protective against DN. In addition, class <i>Gammaproteobacteria</i> (OR = 0.47, 95% CI: 0.27–0.83, <i>p</i> = 0.0096), class <i>Lentisphaeria</i> (OR =0.76, 95% CI: 0.68–0.99, <i>p</i> = 0.04), order <i>Victivallales</i> (OR = 0.76, 95% CI: 0.58–0.99, <i>p</i> = 0.04), and phylum <i>Proteobacteria</i> (OR = 0.53, 95% CI: 0.33–0.85, <i>p</i> = 0.00872) were negatively associated with the risk of developing DN. Genus <i>LachnospiraceaeUCG008</i> (OR =1.45, 95% CI: 1.08–1.95, <i>p</i> = 0.01), order <i>Bacteroidales</i> (OR = 1.59, 95% CI: 1.02–2.49, <i>p</i> = 0.04), and genus <i>Terrisporobacter</i> (OR = 1.98, 95% CI: 1.14–3.45, <i>p</i> = 0.015) were positively associated with the risk of developing DN. In this study, we established a causal relationship between the genus <i>Dialister</i> and the risk of developing DN. Further trials are required to confirm the protective effects of probiotics on DN and to elucidate the precise protective mechanisms involving genus <i>Dialister</i> and DN.
DOI: 10.6084/m9.figshare.25965338.v1
title: Association between the gut microbiota and diabetic nephropathy: a two-sample Mendelian randomization study

description: Numerous studies have revealed a correlation between the risk of developing diabetic nephropathy (DN) and the gut microbiota (GM) composition. However, it remains uncertain whether the GM composition causes DN. We aimed to explore any potential causal links between the GM composition and the risk of developing DN. A meta-analysis conducted by the MiBioGen consortium of the largest genome-wide association study (GWAS) provided aggregated data on the GM. DN data were obtained from the IEU database. The inverse-variance weighting (IVW) method was employed as the primary analytical approach. The IVW analysis indicated that genus <i>Dialister</i> (OR = 0.51, 95% CI: 0.34–0.77, <i>p</i> = 0.00118) was protective against DN. In addition, class <i>Gammaproteobacteria</i> (OR = 0.47, 95% CI: 0.27–0.83, <i>p</i> = 0.0096), class <i>Lentisphaeria</i> (OR =0.76, 95% CI: 0.68–0.99, <i>p</i> = 0.04), order <i>Victivallales</i> (OR = 0.76, 95% CI: 0.58–0.99, <i>p</i> = 0.04), and phylum <i>Proteobacteria</i> (OR = 0.53, 95% CI: 0.33–0.85, <i>p</i> = 0.00872) were negatively associated with the risk of developing DN. Genus <i>LachnospiraceaeUCG008</i> (OR =1.45, 95% CI: 1.08–1.95, <i>p</i> = 0.01), order <i>Bacteroidales</i> (OR = 1.59, 95% CI: 1.02–2.49, <i>p</i> = 0.04), and genus <i>Terrisporobacter</i> (OR = 1.98, 95% CI: 1.14–3.45, <i>p</i> = 0.015) were positively associated with the risk of developing DN. In this study, we established a causal relationship between the genus <i>Dialister</i> and the risk of developing DN. Further trials are required to confirm the protective effects of probiotics on DN and to elucidate the precise protective mechanisms involving genus <i>Dialister</i> and DN.
DOI: 10.6084/m9.figshare.26207269
title: Exploring the relationship between creatine supplementation and renal function: insights from Mendelian randomization analysis

description: Creatine supplementation is ubiquitously consumed by fitness enthusiasts due to its perceived advantages in enhancing athletic performance. Although there is an increasing concern within this demographic regarding its possible impact on renal function, there is still a lack of rigorous scientific investigations into this alleged association. Data were collected through an online survey on the participants’ demographics, creatine usage and concerns related to renal function. The reliability and validity of the survey were assessed using SPSS software. A total of 1129 participants responded to the survey, and chi-square tests were utilized for data analysis. To explore the potential association between creatine levels (as the exposure) and renal function (as the outcome), we utilized open-access genetic databases, and Mendelian randomization (MR) techniques were used to confirm this correlation. Chi-square analysis revealed no significant association between creatine usage and renal function among the participants. Our MR analysis further supported this finding, demonstrating no significant association between creatine levels and six indicators assessing renal function (IVW, all with <i>p</i> values exceeding 0.05). Similar <i>p</i> values were consistently observed across other MR methods, confirming the absence of a statistical correlation. This MR study offers compelling evidence indicating that creatine levels are not statistically associated with renal function, suggesting the potential to alleviate concerns within the fitness community and emphasizing the significance of evidence-based decision-making when considering nutritional supplementation.
DOI: 10.6084/m9.figshare.26207269.v1
title: Exploring the relationship between creatine supplementation and renal function: insights from Mendelian randomization analysis

description: Creatine supplementation is ubiquitously consumed by fitness enthusiasts due to its perceived advantages in enhancing athletic performance. Although there is an increasing concern within this demographic regarding its possible impact on renal function, there is still a lack of rigorous scientific investigations into this alleged association. Data were collected through an online survey on the participants’ demographics, creatine usage and concerns related to renal function. The reliability and validity of the survey were assessed using SPSS software. A total of 1129 participants responded to the survey, and chi-square tests were utilized for data analysis. To explore the potential association between creatine levels (as the exposure) and renal function (as the outcome), we utilized open-access genetic databases, and Mendelian randomization (MR) techniques were used to confirm this correlation. Chi-square analysis revealed no significant association between creatine usage and renal function among the participants. Our MR analysis further supported this finding, demonstrating no significant association between creatine levels and six indicators assessing renal function (IVW, all with <i>p</i> values exceeding 0.05). Similar <i>p</i> values were consistently observed across other MR methods, confirming the absence of a statistical correlation. This MR study offers compelling evidence indicating that creatine levels are not statistically associated with renal function, suggesting the potential to alleviate concerns within the fitness community and emphasizing the significance of evidence-based decision-making when considering nutritional supplementation.
DOI: 10.6084/m9.figshare.26463205
title: Using latent variables to improve the management of depression among hemodialysis patients

description: Screening for depression can be challenging among hemodialysis patients due to the overlap of depressive symptoms with dialysis or kidney disease related symptoms. The aim of this study was to understand these overlapping symptoms and develop a depression screening tool for better clinical assessment of depressive symptoms in dialysis patients. We surveyed 1,085 dialysis patients between March 1, 2018 and February 28, 2023 at 15 dialysis facilities in Northeast Ohio with the 9-item patient health questionnaire (PHQ-9) and kidney disease quality of life (KDQOL) instrument. To evaluate overlap across questionnaire items, we used structural equation modeling (SEM). We predicted and transformed factor scores to create a hemodialysis-adjusted PHQ-9 (hdPHQ-9). In exploratory analysis (<i>N</i> = 173), we evaluated the performance of the hdPHQ-9 relative to the PHQ-9 that also received a Mini-International Neuropsychiatric Interview. Our study sample included a high percentage of Black patients (74.6%) and 157 (14.5%) survey participants screened positive for depression (PHQ-9 ≥ 10). The magnitude of overlap was small for (respectively, PHQ-9 item with KDQOL<sup>TM</sup> item) fatigue with washed out, guilt with burden on family, appetite with nausea and movement with lightheaded. The hdPHQ-9 showed reasonably high sensitivity (0.81 with 95% confidence interval [CI] 0.58, 0.95) and specificity (0.84 with 95% CI 0.77, 0.89); however, this was not a significant improvement from the PHQ-9. There is little overlap between depressive symptoms and dialysis or kidney disease symptoms. The PHQ-9 was found to be an appropriate depression screening instrument for dialysis patients.
DOI: 10.6084/m9.figshare.26463205.v1
title: Using latent variables to improve the management of depression among hemodialysis patients

description: Screening for depression can be challenging among hemodialysis patients due to the overlap of depressive symptoms with dialysis or kidney disease related symptoms. The aim of this study was to understand these overlapping symptoms and develop a depression screening tool for better clinical assessment of depressive symptoms in dialysis patients. We surveyed 1,085 dialysis patients between March 1, 2018 and February 28, 2023 at 15 dialysis facilities in Northeast Ohio with the 9-item patient health questionnaire (PHQ-9) and kidney disease quality of life (KDQOL) instrument. To evaluate overlap across questionnaire items, we used structural equation modeling (SEM). We predicted and transformed factor scores to create a hemodialysis-adjusted PHQ-9 (hdPHQ-9). In exploratory analysis (<i>N</i> = 173), we evaluated the performance of the hdPHQ-9 relative to the PHQ-9 that also received a Mini-International Neuropsychiatric Interview. Our study sample included a high percentage of Black patients (74.6%) and 157 (14.5%) survey participants screened positive for depression (PHQ-9 ≥ 10). The magnitude of overlap was small for (respectively, PHQ-9 item with KDQOL<sup>TM</sup> item) fatigue with washed out, guilt with burden on family, appetite with nausea and movement with lightheaded. The hdPHQ-9 showed reasonably high sensitivity (0.81 with 95% confidence interval [CI] 0.58, 0.95) and specificity (0.84 with 95% CI 0.77, 0.89); however, this was not a significant improvement from the PHQ-9. There is little overlap between depressive symptoms and dialysis or kidney disease symptoms. The PHQ-9 was found to be an appropriate depression screening instrument for dialysis patients.
DOI: 10.6084/m9.figshare.27145671
title: The relationship between serum uric acid and gastrointestinal bleeding in peritoneal dialysis patients: a propensity score analysis

description: Gastrointestinal bleeding is an important gastrointestinal complication among peritoneal dialysis patients and correlated with a higher risk of mortality. Increased uric acid levels are a significant complication for peritoneal dialysis patients and have been associated with an increased risk of hemorrhagic stroke. The objective of the present study was to investigate the relationship between serum uric acid levels and gastrointestinal bleeding in peritoneal dialysis patients. A total of 2498 peritoneal dialysis patients were recruited. Based on the optimal uric acid cutoff value, two groups of patients were divided. We constructed a propensity-score-matched population of 1762 patients by matching sex, age, and body mass index. Survival outcomes between the two groups were compared using adjusted Kaplan–Meier curves. We constructed the restricted cubic splines regression to assess the correlation between levels of uric acid and gastrointestinal bleeding. A multivariate Cox proportional hazards regression was performed to test whether higher levels of uric acid are an independent risk factor for gastrointestinal bleeding. We performed a forest plot to show interaction effects in different subgroups. According to restricted cubic splines regression, uric acid levels were positively correlated with the risk of gastrointestinal bleeding events. After adjusted different confounding factors, patients with high levels of uric acid were prone to experience gastrointestinal bleeding (HR 1.868, 95%CI 1.001–3.486). In subgroups, the interaction between higher levels of uric acid and utilizing proton pump inhibitors was significant (P for interaction = 0.034). Further research found that taking proton pump inhibitors could decrease the risk of gastrointestinal bleeding in peritoneal dialysis patients accompanied high levels of uric acid. The baseline high levels of uric acid are an independent risk factor for gastrointestinal bleeding in patients undergoing peritoneal dialysis.