cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28148660
title: Mean arterial pressure at the initiation of continuous renal replacement therapy as a prognostic indicator in patients with acute kidney injury

description: Acute kidney injury (AKI) is a common complication in critically ill patients, with approximately 5% requiring continuous renal replacement therapy (CRRT). This study investigated the relationship between mean arterial pressure (MAP) and 28- and 90-day mortality in critically ill AKI patients treated with CRRT. This secondary analysis of a bicenter, retrospective, observational study included patients with AKI who were treated with CRRT from January 2009 to September 2016. Mortality at 28 and 90 days post-CRRT initiation was analyzed using multivariate regression, generalized additive models, smooth curve fitting, and sensitivity analyses. A total of 1,142 patients were included, with 28-day and 90-day mortality rates of 62.1% and 71.8%, respectively. In multivariable-adjusted Cox models, MAP was inversely correlated with the risk of 28-day and 90-day mortality after adjusting for covariates. Hazard ratios (HRs) were calculated per 1 mmHg increment of MAP: adjusted HR for 28-day mortality 0.985 (<i>p</i> &lt; 0.00001) and for 90-day mortality 0.987 (<i>p</i> = 0.00002). The adjusted HRs for 28-day and 90-day mortality in patients in the highest tertile of MAP compared with those in the lowest tertile were 0.682 (95% CI 0.543–0.857) and 0.730 (95% CI 0.592–0.899), respectively. Patients were grouped using MAP thresholds of &lt;65 mmHg, 65–71.85 mmHg, and ≥71.85 mmHg, with similar results observed. Sensitivity analyses confirmed the inverse relationship between higher MAP before CRRT and lower mortality. The higher the MAP before CRRT is, the lower the 28- and 90-day mortality of critically ill patients with AKI who are treated with CRRT.
DOI: 10.6084/m9.figshare.28148660.v1
title: Mean arterial pressure at the initiation of continuous renal replacement therapy as a prognostic indicator in patients with acute kidney injury

description: Acute kidney injury (AKI) is a common complication in critically ill patients, with approximately 5% requiring continuous renal replacement therapy (CRRT). This study investigated the relationship between mean arterial pressure (MAP) and 28- and 90-day mortality in critically ill AKI patients treated with CRRT. This secondary analysis of a bicenter, retrospective, observational study included patients with AKI who were treated with CRRT from January 2009 to September 2016. Mortality at 28 and 90 days post-CRRT initiation was analyzed using multivariate regression, generalized additive models, smooth curve fitting, and sensitivity analyses. A total of 1,142 patients were included, with 28-day and 90-day mortality rates of 62.1% and 71.8%, respectively. In multivariable-adjusted Cox models, MAP was inversely correlated with the risk of 28-day and 90-day mortality after adjusting for covariates. Hazard ratios (HRs) were calculated per 1 mmHg increment of MAP: adjusted HR for 28-day mortality 0.985 (<i>p</i> &lt; 0.00001) and for 90-day mortality 0.987 (<i>p</i> = 0.00002). The adjusted HRs for 28-day and 90-day mortality in patients in the highest tertile of MAP compared with those in the lowest tertile were 0.682 (95% CI 0.543–0.857) and 0.730 (95% CI 0.592–0.899), respectively. Patients were grouped using MAP thresholds of &lt;65 mmHg, 65–71.85 mmHg, and ≥71.85 mmHg, with similar results observed. Sensitivity analyses confirmed the inverse relationship between higher MAP before CRRT and lower mortality. The higher the MAP before CRRT is, the lower the 28- and 90-day mortality of critically ill patients with AKI who are treated with CRRT.
DOI: 10.6084/m9.figshare.28929908
title: Causal relationship between chronic kidney disease, renal function, and venous thromboembolism: a bidirectional Mendelian randomization study

description: Chronic kidney disease (CKD) and impaired renal function have been implicated in venous thromboembolism (VTE), but their causal relationships remain uncertain. This study employs Mendelian randomization (MR) to elucidate the potential bidirectional causal effects between CKD, renal function biomarkers, and VTE. We collated datasets from genome-wide association studies conducted among European individuals to perform MR analyses. The primary method utilized was the random-effect inverse variance-weighted (IVW) approach, with MR-Egger and the weighted median approaches employed as supplemental techniques. Several sensitivity studies were performed to assess the findings’ robustness. We identified a link between elevated serum creatinine levels and both VTE (OR: 1.14, 95% CI: 1.05–1.24, <i>p</i> = 0.001) and PE (OR: 1.20, 95% CI: 1.08–1.33, <i>p</i> = 0.001). After outlier removal and Bonferroni correction, the Cr-VTE association lost significance (<i>p</i> = 0.005). A suggestive causal relationship was found between eGFR and VTE (OR: 0.38, 95% CI: 0.20–0.73, <i>p</i> = 0.004), DVT (OR: 0.37, 95% CI: 0.16–0.87, <i>p</i> = 0.022), and PE (OR: 0.29, 95% CI: 0.12–0.66, <i>p</i> = 0.004). No causal effects of CKD or BUN on VTE or its subtypes were observed. Reverse causality inferences did not reveal any meaningful results. This MR analysis provides evidence that elevated serum creatinine is associated with a higher risk of VTE and PE, while reduced eGFR may be a potential risk factor for VTE and its subtypes. These findings highlight the need for proactive monitoring and preventive strategies in individuals with impaired renal function. Further studies are warranted to confirm these associations and explore underlying mechanisms. CKD and renal impairment have been considered as risk factors for VTE, but previous findings were controversial. We used the bidirectional two-sample MR study to investigate the causal relationships of CKD and renal function indicators with VTE. The result showed that elevated serum creatinine levels increase the risk of VTE and PE, and reduced eGFR is a suggestive risk factor for the development of VTE (DVT and PE), with no evidence of a causal relationship between CKD and BUN and VTE. CKD, chronic kidney disease; VTE, venous thromboembolism; DVT, deep vein thrombosis, PE, pulmonary embolism, eGFR, estimated glomerular filtration rate; BUN, blood urea nitrogen; SNPs, single nucleotide polymorphisms; MR, Mendelian randomization; LD, linkage disequilibrium.
DOI: 10.6084/m9.figshare.28929908.v1
title: Causal relationship between chronic kidney disease, renal function, and venous thromboembolism: a bidirectional Mendelian randomization study

description: Chronic kidney disease (CKD) and impaired renal function have been implicated in venous thromboembolism (VTE), but their causal relationships remain uncertain. This study employs Mendelian randomization (MR) to elucidate the potential bidirectional causal effects between CKD, renal function biomarkers, and VTE. We collated datasets from genome-wide association studies conducted among European individuals to perform MR analyses. The primary method utilized was the random-effect inverse variance-weighted (IVW) approach, with MR-Egger and the weighted median approaches employed as supplemental techniques. Several sensitivity studies were performed to assess the findings’ robustness. We identified a link between elevated serum creatinine levels and both VTE (OR: 1.14, 95% CI: 1.05–1.24, <i>p</i> = 0.001) and PE (OR: 1.20, 95% CI: 1.08–1.33, <i>p</i> = 0.001). After outlier removal and Bonferroni correction, the Cr-VTE association lost significance (<i>p</i> = 0.005). A suggestive causal relationship was found between eGFR and VTE (OR: 0.38, 95% CI: 0.20–0.73, <i>p</i> = 0.004), DVT (OR: 0.37, 95% CI: 0.16–0.87, <i>p</i> = 0.022), and PE (OR: 0.29, 95% CI: 0.12–0.66, <i>p</i> = 0.004). No causal effects of CKD or BUN on VTE or its subtypes were observed. Reverse causality inferences did not reveal any meaningful results. This MR analysis provides evidence that elevated serum creatinine is associated with a higher risk of VTE and PE, while reduced eGFR may be a potential risk factor for VTE and its subtypes. These findings highlight the need for proactive monitoring and preventive strategies in individuals with impaired renal function. Further studies are warranted to confirm these associations and explore underlying mechanisms. CKD and renal impairment have been considered as risk factors for VTE, but previous findings were controversial. We used the bidirectional two-sample MR study to investigate the causal relationships of CKD and renal function indicators with VTE. The result showed that elevated serum creatinine levels increase the risk of VTE and PE, and reduced eGFR is a suggestive risk factor for the development of VTE (DVT and PE), with no evidence of a causal relationship between CKD and BUN and VTE. CKD, chronic kidney disease; VTE, venous thromboembolism; DVT, deep vein thrombosis, PE, pulmonary embolism, eGFR, estimated glomerular filtration rate; BUN, blood urea nitrogen; SNPs, single nucleotide polymorphisms; MR, Mendelian randomization; LD, linkage disequilibrium.
DOI: 10.6084/m9.figshare.28586910
title: Utilization of lactate trajectory models for predicting acute kidney injury and mortality in patients with hyperlactatemia: insights across three independent cohorts

description: This study aims to investigate the association between lactate trajectories and the risk of acute kidney injury (AKI) and hospital mortality in patients with hyperlactatemia. We conducted a multicenter retrospective study using data from three independent cohorts. By the lactate levels during the first 48 h of ICU admission, patients were classified into distinct lactate trajectories using group-based trajectory modeling (GBTM) method. The primary outcomes were AKI incidence and hospital mortality. Logistic regression analysis assessed the association between lactate trajectories and clinical outcomes, with adjusting potential confounders. Patients were divided into three trajectories: mild hyperlactatemia with rapid recovery (Traj-1), severe hyperlactatemia with gradual recovery (Traj-2), and severe hyperlactatemia with persistence (Traj-3). Traj-3 was an independent risk factor of both hospital mortality (all <i>p</i> &lt; 0.001) and AKI development (all <i>p</i> &lt; 0.001). Notably, Traj-2 was also associated with increased risk of mortality and AKI development (all <i>p</i> &lt; 0.05) using Traj-1 as reference, except for the result in the Tianjin Medical University General Hospital (TMUGH) cohort for mortality in adjusted model (<i>p</i> = 0.123). Our finding was still robust in subgroup and sensitivity analysis. In the combination cohort, both Traj-2 and Traj-3 were considered as independent risk factor for hospital mortality and AKI development (all <i>p</i> &lt; 0.001). When compared with the Traj-3, Traj-2 was only significantly associated with the decreased risk of hospital mortality (OR 0.17, 95% CI 0.14–0.20, <i>p</i> &lt; 0.001), but no with the likelihood of AKI development (OR 0.90, 95% CI 0.77–1.05, <i>p</i> = 0.172). Lactate trajectories provide valuable information for predicting AKI and mortality in critically ill patients.
DOI: 10.6084/m9.figshare.28586910.v1
title: Utilization of lactate trajectory models for predicting acute kidney injury and mortality in patients with hyperlactatemia: insights across three independent cohorts

description: This study aims to investigate the association between lactate trajectories and the risk of acute kidney injury (AKI) and hospital mortality in patients with hyperlactatemia. We conducted a multicenter retrospective study using data from three independent cohorts. By the lactate levels during the first 48 h of ICU admission, patients were classified into distinct lactate trajectories using group-based trajectory modeling (GBTM) method. The primary outcomes were AKI incidence and hospital mortality. Logistic regression analysis assessed the association between lactate trajectories and clinical outcomes, with adjusting potential confounders. Patients were divided into three trajectories: mild hyperlactatemia with rapid recovery (Traj-1), severe hyperlactatemia with gradual recovery (Traj-2), and severe hyperlactatemia with persistence (Traj-3). Traj-3 was an independent risk factor of both hospital mortality (all <i>p</i> &lt; 0.001) and AKI development (all <i>p</i> &lt; 0.001). Notably, Traj-2 was also associated with increased risk of mortality and AKI development (all <i>p</i> &lt; 0.05) using Traj-1 as reference, except for the result in the Tianjin Medical University General Hospital (TMUGH) cohort for mortality in adjusted model (<i>p</i> = 0.123). Our finding was still robust in subgroup and sensitivity analysis. In the combination cohort, both Traj-2 and Traj-3 were considered as independent risk factor for hospital mortality and AKI development (all <i>p</i> &lt; 0.001). When compared with the Traj-3, Traj-2 was only significantly associated with the decreased risk of hospital mortality (OR 0.17, 95% CI 0.14–0.20, <i>p</i> &lt; 0.001), but no with the likelihood of AKI development (OR 0.90, 95% CI 0.77–1.05, <i>p</i> = 0.172). Lactate trajectories provide valuable information for predicting AKI and mortality in critically ill patients.
DOI: 10.6084/m9.figshare.29062433
title: Association between hemoglobin glycation index and poor prognosis in patients with AKI: a retrospective cohort analysis of the MIMIC-IV database

description: There have been no investigations on the relationship between hemoglobin glycation index <b>(</b>HGI) and poor prognosis in patients with acute kidney injury (AKI). Patients were enrolled from the Medical Information Mart for Intensive Care-IV (MIMIC-IV) database. The HGI was calculated using a linear regression model fitted to glycosylated hemoglobin and fasting plasma glucose (FPG). Kaplan–Meier survival analysis and Cox proportional hazards regression analysis were performed based on HGI quartiles to determine the independent association between HGI and mortality risk. A restricted cubic spline (RCS) was employed to assess the potential nonlinear relationship between HGI and mortality risk. A two-piecewise linear regression model was developed to identify the threshold effect. Additionally, a linear regression model was applied to evaluate the association between HGI and the length of hospital stays. A total of 3684 patients with AKI were included in this study. Among them, 486 patients died within 28 days, and 673 patients died within 90 days. Multivariate Cox regression analysis identified HGI as an independent risk factor for both 28-day mortality (hazard ratio [HR], 1.65 [95% CI 1.26 to 2.16], <i>p</i> &lt; 0.001) and 90-day mortality (HR, 1.45 [95% CI 1.16 to 1.82], <i>p</i> &lt; 0.001) in AKI. The RCS analysis revealed a significant L-shaped association between HGI and both 28-day (nonlinear <i>p</i> &lt; 0.001) and 90-day mortality (nonlinear <i>p</i> &lt; 0.001). For 28-day mortality, the inflection point was 1.09 (HR = 0.72, 95% CI: 0.65 to 0.805). For 90-day mortality, the inflection point was 1.14 (HR = 0.76, 95% CI: 0.69 to 0.84). Notably, the association between HGI and outcomes was more significant in nondiabetic patients (<i>p</i> &lt; 0.05). Additionally, HGI was found to be significantly and inversely associated with the length of hospital stays. In patients with AKI, a low HGI is an independent risk factor for 28-day and 90-day mortality, exhibiting an L-shaped association. HGI may serve as a potential predictor of mortality risk.
DOI: 10.6084/m9.figshare.29062433.v1
title: Association between hemoglobin glycation index and poor prognosis in patients with AKI: a retrospective cohort analysis of the MIMIC-IV database

description: There have been no investigations on the relationship between hemoglobin glycation index <b>(</b>HGI) and poor prognosis in patients with acute kidney injury (AKI). Patients were enrolled from the Medical Information Mart for Intensive Care-IV (MIMIC-IV) database. The HGI was calculated using a linear regression model fitted to glycosylated hemoglobin and fasting plasma glucose (FPG). Kaplan–Meier survival analysis and Cox proportional hazards regression analysis were performed based on HGI quartiles to determine the independent association between HGI and mortality risk. A restricted cubic spline (RCS) was employed to assess the potential nonlinear relationship between HGI and mortality risk. A two-piecewise linear regression model was developed to identify the threshold effect. Additionally, a linear regression model was applied to evaluate the association between HGI and the length of hospital stays. A total of 3684 patients with AKI were included in this study. Among them, 486 patients died within 28 days, and 673 patients died within 90 days. Multivariate Cox regression analysis identified HGI as an independent risk factor for both 28-day mortality (hazard ratio [HR], 1.65 [95% CI 1.26 to 2.16], <i>p</i> &lt; 0.001) and 90-day mortality (HR, 1.45 [95% CI 1.16 to 1.82], <i>p</i> &lt; 0.001) in AKI. The RCS analysis revealed a significant L-shaped association between HGI and both 28-day (nonlinear <i>p</i> &lt; 0.001) and 90-day mortality (nonlinear <i>p</i> &lt; 0.001). For 28-day mortality, the inflection point was 1.09 (HR = 0.72, 95% CI: 0.65 to 0.805). For 90-day mortality, the inflection point was 1.14 (HR = 0.76, 95% CI: 0.69 to 0.84). Notably, the association between HGI and outcomes was more significant in nondiabetic patients (<i>p</i> &lt; 0.05). Additionally, HGI was found to be significantly and inversely associated with the length of hospital stays. In patients with AKI, a low HGI is an independent risk factor for 28-day and 90-day mortality, exhibiting an L-shaped association. HGI may serve as a potential predictor of mortality risk.
DOI: 10.5281/zenodo.15260807
title: FAIRtrain-schema_2.zip

description: File uploaded via Zenodo API script: FAIRtrain-schema_2.zip
DOI: 10.15468/dl.b72bmh
title: Occurrence Download

description: A dataset containing 27424 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Belgium",
 "TaxonKey is Salmo salar Linnaeus, 1758"
 ]
}

 The dataset includes 27424 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029654-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eb8ru4
title: Occurrence Download

description: A dataset containing 553 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Davidia involucrata Baill.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 553 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029655-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.knssr3
title: Occurrence Download

description: A dataset containing 1068 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 "Country is China",
 "Geometry POLYGON((54.55542 6.02944,139.44458 6.02944,139.44458 39.97056,54.55542 39.97056,54.55542 6.02944))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lioparus chrysotis (Blyth, 1845)"
 ]
}

 The dataset includes 1068 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029656-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sadfxj
title: Occurrence Download

description: A dataset containing 2536 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "TaxonKey is Cenchrus ciliaris L.",
 "Year 2000-2025"
 ]
}

 The dataset includes 2536 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029657-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/a2pr-rs87
title: "Cross-platform Behavior Governance an Integration of AI and Blockchain"

description: "Smart contract performance"
DOI: 10.15468/dl.2vaw4g
title: Occurrence Download

description: A dataset containing 27424 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Belgium",
 "TaxonKey is Salmo salar Linnaeus, 1758"
 ]
}

 The dataset includes 27424 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029658-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.92sgkx
title: Occurrence Download

description: A dataset containing 292 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Occurrence evidence)",
 "Country is China",
 "Geometry POLYGON((87.85277 24.24421,124.14723 24.24421,124.14723 38.75579,87.85277 38.75579,87.85277 24.24421))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cholornis paradoxa J.Verreaux, 1870"
 ]
}

 The dataset includes 292 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029659-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6hhmpy
title: Occurrence Download

description: A dataset containing 14734986 species occurrences available in GBIF matching the query:
{
 "PublishingOrg" : [
 "is da86174a-a605-43a4-a5e8-53d484152cd3"
 ]
}

 The dataset includes 14734986 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029653-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29062412
title: <b>ASSESSMENT OF PHUBBING BEHAVIOR, SMARTPHONE ADDICTION, AND COMMUNICATION COMPETENCE AMONG DENTAL, MEDICAL, AND HEALTH SCIENCES STUDENTS AT A UNIVERSITY IN</b><b> </b><b>TÜRKİYE</b>

description: The objective of this investigation was to examine the correlation between smartphone addiction, phubbing behavior, and communication competence among dental, medical, and health sciences students at a university in Türkiye.
DOI: 10.6084/m9.figshare.29062412.v1
title: <b>ASSESSMENT OF PHUBBING BEHAVIOR, SMARTPHONE ADDICTION, AND COMMUNICATION COMPETENCE AMONG DENTAL, MEDICAL, AND HEALTH SCIENCES STUDENTS AT A UNIVERSITY IN</b><b> </b><b>TÜRKİYE</b>

description: The objective of this investigation was to examine the correlation between smartphone addiction, phubbing behavior, and communication competence among dental, medical, and health sciences students at a university in Türkiye.
DOI: 10.15468/dl.jtptqf
title: Occurrence Download

description: A dataset containing 3844723 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Maniola jurtina (Linnaeus, 1758)"
 ]
}

 The dataset includes 3844723 records from 4337 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029641-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.