Ethnicity-specific associations between the promoter region G-308A polymorphism (rs1800629) of the TNF-α gene and the development of end-stage renal disease: An evidence-based meta-analysis and trial sequential analysis DOI Creative Commons
Suthiya Anumas, Amarit Tansawet, Pawin Numthavaj

et al.

Genetics and Molecular Biology, Journal Year: 2025, Volume and Issue: 48(1)

Published: Jan. 1, 2025

Tumor necrosis factor-alpha (TNF-α), is partly attributed to pathogenesis of end-stage renal disease (ESRD). Inconsistency reported associations between TNF-α G-308A polymorphism (rs1800629) and ESRD prompted a meta-analysis obtain more precise estimates. Eleven case-control studies from 11 articles were included. Pooled odds ratios (OR) 95% confidence intervals (95% CIs) estimated evaluate the association. Subgroup analysis was based on ethnicity (Caucasian Asian). Multiple comparisons Bonferroni-corrected. Trial sequential (TSA) implemented ascertain reliability results. Sensitivity analyses publication bias tests performed significant There no association (pa >0.05) in overall ethnic subgroup. Indians, three pool ORs < 0.01-0.03) showed increased susceptibility homozygous (OR, 6.57; CI, 1.45 29.75; pa = 0.01), recessive 6.75; 1.44 31.56; 0.02), codominant 2.06; 1.08 3.94; 0.03) models. TSA indicated robustness such Indian population. The main outcomes robust without evidence bias. This study are confined which susceptible up approximately 7 times.

Language: Английский

Long term outcomes of patients with chronic kidney disease after COVID-19 in an urban population in the Bronx DOI Creative Commons
Jimmy Lu, Justin Y. Lu, Stephen Wang

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 19, 2025

Abstract We investigated the long-term kidney and cardiovascular outcomes of patients with chronic disease (CKD) after COVID-19. Our retrospective cohort consisted 834 CKD COVID-19 6,167 without between 3/11/2020 to 7/1/2023. Multivariate competing risk regression models were used estimate (as adjusted hazard ratios (aHR) 95% confidence intervals (CI)) progression a more advanced stage (Stage 4 or 5) major adverse events (MAKE), (MACE) at 6-, 12-, 24-month follow up. Hospitalized 12 24 months (aHR 1.62 CI[1.24,2.13] 1.76 [1.30, 2.40], respectively), but not non-hospitalized patients, higher compared those Both hospitalized MAKE 12- 24-months 1.73 [1.21, 2.50], 1.77 [1.34, 2.33], 1.31 [1.05, 1.64], MACE increases in CKD. These findings highlight need for close up care therapies that slow this high-risk subgroup.

Language: Английский

Citations

4
Incorporating area-level social drivers of health in predictive algorithms using electronic health record data DOI Creative Commons
Agata Foryciarz, Nicole Gladish, David H. Rehkopf

et al.

Journal of the American Medical Informatics Association, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 20, 2025

Abstract Objectives The inclusion of social drivers health (SDOH) into predictive algorithms outcomes has potential for improving algorithm interpretation, performance, generalizability, and transportability. However, there are limitations in the availability, understanding, quality SDOH variables, as well a lack guidance on how to incorporate them when appropriate do so. As such, few published include SDOH, is substantial methodological variability among those that do. We argue practitioners should consider use indices factors—a class area-level measurements—given their accessibility, transparency, quality. Results illustrate process using such algorithms, which includes selection outcome, measurement time, geographic level, demonstrative example with Kidney Failure Risk Equation. Discussion Identifying settings where incorporating may be beneficial rigorously can help validate assess generalizability.

Language: Английский

Citations

2
Prediction of diabetic kidney disease with machine learning algorithms, upon the initial diagnosis of type 2 diabetes mellitus DOI Creative Commons
Angier Allen, Zohora Iqbal, Abigail Green‐Saxena

et al.

BMJ Open Diabetes Research & Care, Journal Year: 2022, Volume and Issue: 10(1), P. e002560 - e002560

Published: Jan. 1, 2022

Diabetic kidney disease (DKD) accounts for the majority of increased risk mortality patients with diabetes, and eventually manifests in approximately half those diagnosed type 2 diabetes mellitus (T2DM). Although screening frequency can avoid delayed diagnoses, this is not uniformly implemented. The purpose study was to develop retrospectively validate a machine learning algorithm (MLA) that predicts stages DKD within 5 years upon diagnosis T2DM.Two MLAs were trained predict severity, compared Centers Disease Control Prevention (CDC) score evaluate performance. models validated on hold-out test set as well an external dataset sourced from separate facilities.The outperformed CDC both datasets. Our algorithms achieved area under receiver operating characteristic curve (AUROC) 0.75 prediction any-stage AUROC over 0.82 more severe endpoints, <0.70 all sets endpoints.This retrospective shows MLA provide timely predictions among recently T2DM.

Language: Английский

Citations

65
Association of oxidative balance score with chronic kidney disease: NHANES 1999-2018 DOI Creative Commons

Haibin Wen,

Xianhua Li, Jiangming Chen

et al.

Frontiers in Endocrinology, Journal Year: 2024, Volume and Issue: 15

Published: June 11, 2024

Background The Oxidative Balance Score (OBS), which quantifies the balance between antioxidants and pro-oxidants influenced by diet lifestyle, is crucial given oxidative stress’s significant role in Chronic Kidney Disease (CKD). This study aims to determine association OBS CKD using data from National Health Nutrition Examination Survey (NHANES) 1999-2018. Methods We analyzed spanning 1999 2018. was constructed a detailed array of 20 factors, including dietary nutrients lifestyle behaviors. relationship risk evaluated weighted logistic regression models, adjusted for potential confounders, with generalized additive model (GAM) examining non-linear associations. Subgroup analyses interaction effects across diverse demographic clinical groups, along sensitivity analyses, were performed validate findings. Results Among 32,120 participants analyzed, 4,786 identified CKD. Fully analysis revealed that each unit increase associated 2% reduction prevalence [OR: 0.98 (0.98–0.99), P &lt; 0.001]. Higher quartiles significantly correlated decreased [Q4 vs . Q1: OR: 0.82 (0.68–0.98), = 0.03; trend 0.01]. GAM smoothed curve fit indicated linear Stratified further substantiated inverse prevalence. Conclusions Our findings NHANES affirm U.S. population, underscoring optimizing factors managing risk. These results advocate incorporating considerations into prevention treatment strategies.

Language: Английский

Citations

11
Metabolome profiling by widely-targeted metabolomics and biomarker panel selection using machine-learning for patients in different stages of chronic kidney disease DOI

Yao-Hua Gu,

Yu Chen, Qing Li

et al.

Chinese Chemical Letters, Journal Year: 2024, Volume and Issue: 35(11), P. 109627 - 109627

Published: Feb. 9, 2024

Language: Английский

Citations

9
Sleep Patterns, Genetic Susceptibility, and Incident Chronic Kidney Disease: A Prospective Study of 370 671 Participants DOI Creative Commons
Haojie Zhang, Bin Wang, Chi Chen

et al.

Frontiers in Neuroscience, Journal Year: 2022, Volume and Issue: 16

Published: Jan. 31, 2022

Unhealthy sleep behaviors may be potential risk factors for chronic kidney disease (CKD). We aimed to examine the associations of combined patterns and genetic susceptibility with incident CKD.This large-scale prospective cohort study included 370,671 participants without CKD at baseline (2006-2010) in UK Biobank data. Five were made up duration, insomnia, snoring, chronotype, daytime sleepiness according questionnaire. Overall by summing five scores created. Weighted score function was calculated. Incident recorded from death register, primary care, hospital inpatient records. A subset 41,130 individuals who participated both initial assessment visit follow-up (2012+) also used.During a median 10.6 years (about 3.9 million person-years), we documented 6,365 patients CKD. In behaviors, 7-8 h/day, free insomnia no frequent independently associated CKD, 12% (95%CI 7-16), 9% (3-14), 13% (9-18) lower risk, respectively. Compared those 0-1, 5 had 21% (10-31%) 17.1% this could attributed total poor pattern. Participants high intermediate or pattern showed highest (OR = 2.58, 95%CI 2.24-2.96; OR 2.59, 2.02-3.32, respectively), although there significant interaction between categories. Among visit, found that association amelioration after fully adjustment 0.60, 0.36-0.99), compared group stable pattern.In large study, healthy reduction matter they high, intermediate, low risk.

Language: Английский

Citations

31
Acute kidney injury in diabetic patients: A narrative review DOI Creative Commons
Amninder Kaur, Gaurav Shekhar Sharma, Damodar Kumbala

et al.

Medicine, Journal Year: 2023, Volume and Issue: 102(21), P. e33888 - e33888

Published: May 26, 2023

Diabetes mellitus (DM) is the most common cause of chronic kidney disease, which leads to end-stage renal failure worldwide. Glomerular damage, arteriosclerosis, and atherosclerosis are contributing factors in diabetic patients, leading progression damage. a distinct risk factor for acute injury (AKI) AKI associated with faster advancement disease patients diabetes. The long-term consequences include development higher cardiovascular cerebral events, poor quality life, high morbidity mortality. In general, not many studies discussed extensively “AKI DM.” Moreover, articles addressing this topic scarce. It also important know so that timely intervention preventive strategies can be implemented decrease injury. Aim review article address epidemiology AKI, its factors, different pathophysiological mechanisms, how differs between nondiabetic therapeutic implications diabetics. increasing occurrence prevalence DM, as well other pertinent issues, motivated us topic.

Language: Английский

Citations

23
Role of Sex Hormones in Prevalent Kidney Diseases DOI Open Access
Carolina Conte, Giulia Antonelli, Maria Elena Melica

et al.

International Journal of Molecular Sciences, Journal Year: 2023, Volume and Issue: 24(9), P. 8244 - 8244

Published: May 4, 2023

Chronic kidney disease (CKD) is a constantly growing global health burden, with more than 840 million people affected worldwide. CKD presents sex disparities in the pathophysiology of disease, as well epidemiology, clinical manifestations, and progression. Overall, while frequent females, males have higher risk to progress end-stage disease. In recent years, numerous studies highlighted role hormones diseases several organs, including kidney. this review, we present overview sex-differences selection prominent causing CKD: lupus nephritis, diabetic IgA nephropathy, autosomal dominant polycystic We report experimental findings on development its progression

Language: Английский

Citations

22
Application of SERS-based nanobiosensors to metabolite biomarkers of CKD DOI
Deepak Kukkar,

Monika Chhillar,

Ki‐Hyun Kim

et al.

Biosensors and Bioelectronics, Journal Year: 2023, Volume and Issue: 232, P. 115311 - 115311

Published: April 17, 2023

Language: Английский

Citations

16
The AKI-to-CKD Transition: The Role of Uremic Toxins DOI Open Access
Camille André, Sandra Bodeau,

Saı̈d Kamel

et al.

International Journal of Molecular Sciences, Journal Year: 2023, Volume and Issue: 24(22), P. 16152 - 16152

Published: Nov. 10, 2023

After acute kidney injury (AKI), renal function continues to deteriorate in some patients. In a pro-inflammatory and profibrotic environment, the proximal tubules are subject maladaptive repair. AKI-to-CKD transition, impaired recovery from AKI reduces tubular glomerular filtration leads chronic disease (CKD). Reduced secretion capacity is characterized by plasma accumulation of biologically active molecules, referred as uremic toxins (UTs). These have role development neurological, cardiovascular, bone, complications CKD. However, UTs might also cause CKD well be consequence. Recent studies shown that these molecules accumulate early contribute establishment this environment kidney. The objective present work was review mechanisms UT toxicity potentially transition each compartment.

Language: Английский

Citations

15