Background: The role of low-level lead exposure in the cause of chronic kidney disease (CKD) is unsettled.
Study Design: Case-control study and prospective observational cohort study.
Setting & Participants: 926 cases with incident severe CKD (serum creatinine > 3.4 mg/dL for men and > 2.8 mg/dL for women for the first time) and 998 population controls were included. Cases represented nearly all patients with incident severe CKD in Sweden during 2 years. Cases also were followed up prospectively for 7-9 years. Exposed and nonexposed cases were compared with regard to rate of change in estimated glomerular filtration rate (eGFR) and renal survival.
Predictor: Lead exposure was assessed using the expert rating method.
Outcomes & Measurements: Associations between lead exposure and risk of CKD, adjusted for factors associated with this outcome, were analyzed using multivariable logistic regression modeling, whereas links to the rate of change in eGFR were analyzed in mixed-effects multivariable models based on up to 6 measurements. Renal survival in relation to lead exposure was analyzed in a Cox proportional hazards model.
Results: The adjusted OR for incident severe CKD was 0.97 (95% CI, 0.68-1.38) in lead-exposed compared with nonexposed participants. The OR for individuals with the highest average exposure (>0.0075 mg/m(3)) was 1.09 (95% CI, 0.64-1.85). ORs for CKD caused by glomerulonephritis, nephrosclerosis, and diabetic nephropathy did not differ importantly. In patients with CKD ever exposed and most exposed to lead, eGFRs changed by -4.27 and -3.39 mL/min/1.73 m(2)/y compared with -4.55 mL/min/1.73 m(2)/y in nonexposed patients, respectively.
Limitations: Only native Swedes were included, which may limit generalizability. Blood lead was not measured to confirm the validity of the expert rating method.
Conclusion: Our data provide no evidence of an important role of low-level occupational lead exposure in the cause or progression of severe CKD.
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http://dx.doi.org/10.1053/j.ajkd.2009.11.012 | DOI Listing |
Front Pediatr
January 2025
Gansu University of Chinese Medicine, Lanzhou, Gansu Province, China.
Background: Previous research has demonstrated that exposure to individual heavy metals elevates the incidence rate of congenital heart defects (CHDs). However, there is a paucity of data concerning the relationship between combined exposure to multiple heavy metals and the occurrence of CHDs. This study seeks to investigate the association between combined heavy metal exposure in pregnant women and the incidence of CHDs in their offspring in Lanzhou, China.
View Article and Find Full Text PDFGlob Epidemiol
June 2025
Business Analytics (BANA) Program, Business School, University of Colorado, 1475 Lawrence St. Denver, CO 80217-3364, USA.
AI-assisted data analysis can help risk analysts better understand exposure-response relationships by making it relatively easy to apply advanced statistical and machine learning methods, check their assumptions, and interpret their results. This paper demonstrates the potential of large language models (LLMs), such as ChatGPT, to facilitate statistical analyses, including survival data analyses, for health risk assessments. Through AI-guided analyses using relatively recent and advanced methods such as Individual Conditional Expectation (ICE) plots using Random Survival Forests and Heterogeneous Treatment Effects (HTEs) estimated using Causal Survival Forests, population-level exposure-response functions can be disaggregated into individual-level exposure-response functions.
View Article and Find Full Text PDFFollowing a request from the European Commission, EFSA was asked to deliver a scientific opinion on the assessment of the application for renewal of the authorisation of a preparation of NCIMB 30005 as technological additive to improve ensiling of fresh material for all animal species. The applicant has provided evidence that the additive currently on the market complies with the existing conditions of authorisation. There was no new evidence that would lead the EFSA Panel on Additives and Products or Substances used in Animal Feed (FEEDAP) to reconsider its previous conclusions for all animal species, consumers and the environment, for which the additive is considered to remain safe.
View Article and Find Full Text PDFTher Adv Drug Saf
January 2025
Unidad Especializada en Tuberculosis, Servicio de Neumologia, Hospital Nacional Dos de Mayo, Lima, Perú.
The overlap of Drug Reaction with Eosinophilia and Systemic Symptoms (DRESS) and Stevens-Johnson syndrome (SJS) caused by antituberculosis drugs represents an extremely rare event. This situation can manifest between 2 and 8 weeks after the first exposure to the medication. The overlap of these conditions can lead to atypical clinical manifestations, thus complicating the early diagnosis and the implementation of early treatment.
View Article and Find Full Text PDFHeliyon
January 2025
Institute of Global Health and Human Ecology, School of Sciences and Engineering, The American University in Cairo, P.O. Box 74, New Cairo, 11835, Egypt.
Heavy metals like lead, mercury, cadmium, and arsenic are environmental pollutants that accumulate in ecosystems and pose significant health risks to humans and wildlife, primarily through food chain contamination where plants absorb heavy metals, affecting their growth and threatening consumer health. Cognitive and cardiovascular functions are particularly affected by exposure to heavy metals even at low concentrations through the induction of oxidative stress. Various analytical techniques are used in measuring heavy metals in different environmental and biological samples.
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