Dataset Information

Association of lead exposure with survival in amyotrophic lateral sclerosis.

ABSTRACT: Reasons for the variability in survival among ALS cases are unknown but may include exposure to environmental neurotoxicants.We aimed to determine whether lead exposure, assessed by measuring blood and bone lead levels, is associated with survival in amyotrophic lateral sclerosis (ALS).We evaluated the relationship of lead exposure to ALS survival in 110 cases from a case-control study conducted in New England in 1993-1996 that included measurements of blood and bone lead. We retrieved information on date and cause of death through 31 December 2003 from the National Death Index Plus and the Social Security Administration Death Index. We evaluated the relationship of survival to lead exposure using Cox proportional hazard analysis, with adjustment for age, sex, and smoking.We found mortality data for 100 of 110 cases; 93 of 100 death certificates mentioned ALS. Median survival from diagnosis to death was 28 months. Shorter survival was associated with older age at diagnosis, female sex, bulbar onset, shorter interval between symptom onset and diagnosis, and reduced lung function. Shorter survival from diagnosis to death had a weak inverse association with blood lead (hazard ratio = 0.9; 95% confidence interval, 0.8-1.0) and a stronger inverse association with patella lead (0.5; 0.2-1.0) and tibia lead (0.3; 0.1-0.7); similar results were found for survival from symptom onset to death.These results suggest that lead exposure is associated with longer survival in ALS cases and, if confirmed, may shed light on mechanisms involved in disease progression.

SUBMITTER: Kamel F

PROVIDER: S-EPMC2453164 | biostudies-literature | 2008 Jul

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Association of lead exposure with survival in amyotrophic lateral sclerosis.

Kamel Freya F Umbach David M DM Stallone Lillian L Richards Marie M Hu Howard H Sandler Dale P DP

Environmental health perspectives 20080701 7

<h4>Background</h4>Reasons for the variability in survival among ALS cases are unknown but may include exposure to environmental neurotoxicants.<h4>Objectives</h4>We aimed to determine whether lead exposure, assessed by measuring blood and bone lead levels, is associated with survival in amyotrophic lateral sclerosis (ALS).<h4>Methods</h4>We evaluated the relationship of lead exposure to ALS survival in 110 cases from a case-control study conducted in New England in 1993-1996 that included measu ...[more]

PMID: 18629318

Similar Datasets

Project description:IMPORTANCE:Persistent environmental pollutants may represent a modifiable risk factor involved in the gene-time-environment hypothesis in amyotrophic lateral sclerosis (ALS). OBJECTIVE:To evaluate the association of occupational exposures and environmental toxins on the odds of developing ALS in Michigan. DESIGN, SETTING, AND PARTICIPANTS:Case-control study conducted between 2011 and 2014 at a tertiary referral center for ALS. Cases were patients diagnosed as having definitive, probable, probable with laboratory support, or possible ALS by revised El Escorial criteria; controls were excluded if they were diagnosed as having ALS or another neurodegenerative condition or if they had a family history of ALS in a first- or second-degree blood relative. Participants completed a survey assessing occupational and residential exposures. Blood concentrations of 122 persistent environmental pollutants, including organochlorine pesticides (OCPs), polychlorinated biphenyls (PCBs), and brominated flame retardants (BFRs), were measured using gas chromatography-mass spectrometry. Multivariable models with self-reported occupational exposures in various exposure time windows and environmental toxin blood concentrations were separately fit by logistic regression models. Concordance between the survey data and pollutant measurements was assessed using the nonparametric Kendall ? correlation coefficient. MAIN OUTCOMES AND MEASURES:Occupational and residential exposures to environmental toxins, and blood concentrations of 122 persistent environmental pollutants, including OCPs, PCBs, and BFRs. RESULTS:Participants included 156 cases (mean [SD] age, 60.5 [11.1] years; 61.5% male) and 128 controls (mean [SD] age, 60.4 [9.4] years; 57.8% male); among them, 101 cases and 110 controls had complete demographic and pollutant data. Survey data revealed that reported pesticide exposure in the cumulative exposure windows was significantly associated with ALS (odds ratio [OR]?=?5.09; 95% CI, 1.85-13.99; P?=?.002). Military service was also associated with ALS in 2 time windows (exposure ever happened in entire occupational history: OR?=?2.31; 95% CI, 1.02-5.25; P?=?.046; exposure ever happened 10-30 years ago: OR?=?2.18; 95% CI, 1.01-4.73; P?=?.049). A multivariable model of measured persistent environmental pollutants in the blood, representing cumulative occupational and residential exposure, showed increased odds of ALS for 2 OCPs (pentachlorobenzene: OR?=?2.21; 95% CI, 1.06-4.60; P?=?.04; and cis-chlordane: OR?=?5.74; 95% CI, 1.80-18.20; P?=?.005), 2 PCBs (PCB 175: OR?=?1.81; 95% CI, 1.20-2.72; P?=?.005; and PCB 202: OR?=?2.11; 95% CI, 1.36-3.27; P?=?.001), and 1 BFR (polybrominated diphenyl ether 47: OR?=?2.69; 95% CI, 1.49-4.85; P?=?.001). There was modest concordance between survey data and the measurements of persistent environmental pollutants in blood; significant Kendall ? correlation coefficients ranged from -0.18 (Dacthal and "use pesticides to treat home or yard") to 0.24 (trans-nonachlor and "store lawn care products in garage"). CONCLUSIONS AND RELEVANCE:In this study, persistent environmental pollutants measured in blood were significantly associated with ALS and may represent modifiable ALS disease risk factors.

Project description:Objective: The heterogeneity of amyotrophic lateral sclerosis (ALS) survival duration, which varies from <1 year to >10 years, challenges clinical decisions and trials. Utilizing data from 801 deceased ALS patients, we: (1) assess the underlying complex relationships among common clinical ALS metrics; (2) identify which clinical ALS metrics are the "best" survival predictors and how their predictive ability changes as a function of disease progression. Methods: Analyses included examination of relationships within the raw data as well as the construction of interactive survival regression and classification models (generalized linear model and random forests model). Dimensionality reduction and feature clustering enabled decomposition of clinical variable contributions. Thirty-eight metrics were utilized, including Medical Research Council (MRC) muscle scores; respiratory function, including forced vital capacity (FVC) and FVC % predicted, oxygen saturation, negative inspiratory force (NIF); the Revised ALS Functional Rating Scale (ALSFRS-R) and its activities of daily living (ADL) and respiratory sub-scores; body weight; onset type, onset age, gender, and height. Prognostic random forest models confirm the dominance of patient age-related parameters decline in classifying survival at thresholds of 30, 60, 90, and 180 days and 1, 2, 3, 4, and 5 years. Results: Collective prognostic insight derived from the overall investigation includes: multi-dimensionality of ALSFRS-R scores suggests cautious usage for survival forecasting; upper and lower extremities independently degenerate and are autonomous from respiratory decline, with the latter associating with nearer-to-death classifications; height and weight-based metrics are auxiliary predictors for farther-from-death classifications; sex and onset site (limb, bulbar) are not independent survival predictors due to age co-correlation. Conclusion: The dimensionality and fluctuating predictors of ALS survival must be considered when developing predictive models for clinical trial development or in-clinic usage. Additional independent metrics and possible revisions to current metrics, like the ALSFRS-R, are needed to capture the underlying complexity needed for population and personalized forecasting of survival.

Dataset Information

Association of lead exposure with survival in amyotrophic lateral sclerosis.

Publications

Association of lead exposure with survival in amyotrophic lateral sclerosis.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets