Dataset Information

Individual and neighborhood socioeconomic status in the prediction of liver transplantation among patients with liver disease: A population-based cohort study in Taiwan.

ABSTRACT: Given the fact that >80% of liver transplantations (LTs) were living donor liver transplantation (LDLT) in Taiwan, we conducted this study to assess whether patients with lower socioeconomic status are subject to a lower chance of receiving hepatic transplantation.This was a cohort study including 197,082 liver disease patients admitted in 1997 to 2013, who were at higher risk of LT. Personal monthly income and median family income of living areas were used to indicate individual and neighborhood socioeconomic status, respectively. Cox proportional hazard model that considered death as a competing risk event was used to estimate subdistribution hazard ratio (sHR) of LT in association with socioeconomic status.Totally 2204 patients received LT during follow-up, representing a cumulative incidence of 1.12% and an incidence rate of 20.54 per 10 person-years. After adjusting for potential confounders, including age, sex, co-morbidity, location/urbanization level of residential areas, we found that patients with < median monthly income experienced significantly lower incidence of LT (aHR?=?0.802, 95% confidence interval (CI)?=?0.717-0.898), but those with >- median monthly income had significantly elevated incidence of LT (aHR?=?1.679, 95% CI?=?1.482-1.903), as compared to those who were not actively employed. Additionally, compared to areas with the lowest quartile of median family income, the highest quartile of median family income was also associated with significantly higher incidence rate of LT (aHR?=?1.248, 95% CI?=?1.055-1.478).Higher individual and neighborhood socioeconomic status were significantly associated with higher incidence of LT among patients with higher risk of LT.

SUBMITTER: Liu CC

PROVIDER: S-EPMC6426624 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature

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Individual and neighborhood socioeconomic status in the prediction of liver transplantation among patients with liver disease: A population-based cohort study in Taiwan.

Liu Chi-Chu CC Lu Chin-Li CL Notobroto Hari Basuki HB Tsai Chiang-Chin CC Wen Pei-Hung PH Li Chung-Yi CY

Medicine 20190301 11

Given the fact that >80% of liver transplantations (LTs) were living donor liver transplantation (LDLT) in Taiwan, we conducted this study to assess whether patients with lower socioeconomic status are subject to a lower chance of receiving hepatic transplantation.This was a cohort study including 197,082 liver disease patients admitted in 1997 to 2013, who were at higher risk of LT. Personal monthly income and median family income of living areas were used to indicate individual and neighborhoo ...[more]

PMID: 30882681

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Project description:BackgroundLong-term fine particulate matter (PM2.5) exposure is linked with cardiovascular disease, and disadvantaged status may increase susceptibility to air pollution-related health effects. In addition, there are concerns that this association may be partially explained by confounding by socioeconomic status (SES).ObjectivesWe examined the roles that individual- and neighborhood-level SES (NSES) play in the association between PM2.5 exposure and cardiovascular disease.MethodsThe study population comprised 51,754 postmenopausal women from the Women's Health Initiative Observational Study. PM2.5 concentrations were predicted at participant residences using fine-scale regionalized universal kriging models. We assessed individual-level SES and NSES (Census-tract level) across several SES domains including education, occupation, and income/wealth, as well as through an NSES score, which captures several important dimensions of SES. Cox proportional-hazards regression adjusted for SES factors and other covariates to determine the risk of a first cardiovascular event.ResultsA 5 ?g/m3 higher exposure to PM2.5 was associated with a 13% increased risk of cardiovascular event [hazard ratio (HR) 1.13; 95% confidence interval (CI): 1.02, 1.26]. Adjustment for SES factors did not meaningfully affect the risk estimate. Higher risk estimates were observed among participants living in low-SES neighborhoods. The most and least disadvantaged quartiles of the NSES score had HRs of 1.39 (95% CI: 1.21, 1.61) and 0.90 (95% CI: 0.72, 1.07), respectively.ConclusionsWomen with lower NSES may be more susceptible to air pollution-related health effects. The association between air pollution and cardiovascular disease was not explained by confounding from individual-level SES or NSES. Citation: Chi GC, Hajat A, Bird CE, Cullen MR, Griffin BA, Miller KA, Shih RA, Stefanick ML, Vedal S, Whitsel EA, Kaufman JD. 2016. Individual and neighborhood socioeconomic status and the association between air pollution and cardiovascular disease. Environ Health Perspect 124:1840-1847;?http://dx.doi.org/10.1289/EHP199.

Project description:BackgroundInequality in health outcomes in relation to Americans' socioeconomic position is rising.ObjectiveFirst, to evaluate the spatial relationship between neighborhood disadvantage and major atherosclerotic cardiovascular disease (ASCVD)-related events; second, to evaluate the relative extent to which neighborhood disadvantage and physiologic risk account for neighborhood-level variation in ASCVD event rates.DesignObservational cohort analysis of geocoded longitudinal electronic health records.SettingA single academic health center and surrounding neighborhoods in northeastern Ohio.Patients109 793 patients from the Cleveland Clinic Health System (CCHS) who had an outpatient lipid panel drawn between 2007 and 2010. The date of the first qualifying lipid panel served as the study baseline.MeasurementsTime from baseline to the first occurrence of a major ASCVD event (myocardial infarction, stroke, or cardiovascular death) within 5 years, modeled as a function of a locally derived neighborhood disadvantage index (NDI) and the predicted 5-year ASCVD event rate from the Pooled Cohort Equations Risk Model (PCERM) of the American College of Cardiology and American Heart Association. Outcome data were censored if no CCHS encounters occurred for 2 consecutive years or when state death data were no longer available (that is, from 2014 onward).ResultsThe PCERM systematically underpredicted ASCVD event risk among patients from disadvantaged communities. Model discrimination was poorer among these patients (concordance index [C], 0.70 [95% CI, 0.67 to 0.74]) than those from the most affluent communities (C, 0.80 [CI, 0.78 to 0.81]). The NDI alone accounted for 32.0% of census tract-level variation in ASCVD event rates, compared with 10.0% accounted for by the PCERM.LimitationsPatients from affluent communities were overrepresented. Outcomes of patients who received treatment for cardiovascular disease at Cleveland Clinic were assumed to be independent of whether the patients came from a disadvantaged or an affluent neighborhood.ConclusionNeighborhood disadvantage may be a powerful regulator of ASCVD event risk. In addition to supplemental risk models and clinical screening criteria, population-based solutions are needed to ameliorate the deleterious effects of neighborhood disadvantage on health outcomes.Primary funding sourceThe Clinical and Translational Science Collaborative of Cleveland and National Institutes of Health.

Dataset Information

Individual and neighborhood socioeconomic status in the prediction of liver transplantation among patients with liver disease: A population-based cohort study in Taiwan.

Publications

Individual and neighborhood socioeconomic status in the prediction of liver transplantation among patients with liver disease: A population-based cohort study in Taiwan.

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