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Associations between Arsenic in Drinking Water and the Occurrence of Chronic Kidney Disease: A Nationwide Population-Based Study in Taiwan

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The Associations between Arsenic in

Drinking Water and the Occurrence of

Chronic Kidney Disease: A Nationwide

Population-Based Study in Taiwan

Ya-Yun Cheng

Department of Environmental and Occupational Health College of Medicine, National Cheng Kung University

Tainan, Taiwan

01 Sep. 2016

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Conflict of Interest (COI)

I have no financial interests to disclose

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Arsenic

Important

Nevertheless, epidemiology studies on the

association between arsenic exposure and the

occurrence of CKD / ESRD are still limited.

3

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Objective

1.

To evaluate the associations between arsenic

exposure and the occurrence of CKD / ESRD

in Taiwan.

We conducted a nationwide population-based

study including both the BFD endemic area

and other areas in Taiwan.

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Materials and methods

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Arsenic exposure index

Data on well water arsenic were obtained from a

nationwide survey conducted by the Taiwan

Provincial Institute of Environmental Sanitation

using the standard mercuric bromide stain method.

(Lo et al.,1977; APHA, 1985)

There were more than 80,000 wells, mostly

between 1974 and 1976, and were available for 311 townships (85%).

According to the cut-offs adopted by the survey reports, which was the regulatory standard at the time of the survey, we defined a high arsenic level as ≥ 50 µg/L

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Jan 1, 1996

Jan 1, 1998

Dec 31, 2010

New ESRD cases once diagnosis with Catastrophic illness code 001 Prevalent

CKD / ESRD

Follow up 13 years

Allowing at least 24 months wash-out period

New CKD cases 3 times OPD diagnosis by a psychiatrist

LHID2000 Population-based ecological cohort study:

1,000,000 random sampling enrollees during 1996-2010 Adjust comorbidity

SL Wang, 2003 National Health Insurance (NHI)

Longitudinal Health Insurance Database (LHID)

Evaluate the associations between arsenic exposure and the occurrence of CKD / ESRD.

Drinking history Address at 1998 Age ≥40 at 1998

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Risk factors of CKD

Epidemiological and clinical evidence have shown a link between hypertension, diabetes, obesity, and

metabolic syndrome (Comorbidity) and the onset and progression of CKD.

SEX, Age, Edu, SES (Yang WC, 2008; Wen CP, 2008)

Western medicines

NSAID (non-steroidal anti-inflammatory drugs)

Acetaminophen (Chiu et al. 2008; Wen et al. 2008; Lai et al. 2009; Lai et al. 2010)

Chinese herbal medicine (Aristolochic acid)

(Vanherweghem JL, 1993; Yang CS, 2000; Chang CH, 2001; Yang HY, 2006)

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Disease ICD-9-CM / A-CODE Criteria CKD 016.0, 095.4, 189.0, 189.9, 223.0, 236.91, 250.4,

271.4, 274.1, 283.11, 403.01, 404.02, 404.03, 440.1, 442.1, 447.3, 572.4, 580–589, 590-591, 593, 642.1, 646.2, 753.12–753.17, 753.19, 753.2, 794.4.

≧3 OPD visits

ESRD Dialysis 585-586 combined with copayment code ‘‘001’’

(indicated the presence of a Catastrophic illness)

1 OPD visits

Hypertension 401- 405, A260 ≧3 OPD visits

Diabetes 250, A181 ≧3 OPD visits

Hyperlipidemia 272.0-272.4, A182 ≧3 OPD visits

CAD 410-414 ≧3 OPD visits

Stroke 430-438 ≧3 OPD visits

Malignancy 140–208 ≧3 OPD visits

Assessment of kidney disease and comorbidity

International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM)

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Statistic

Chi-square test, T-test, ANOVA

Cox PH regression (Survival analysis): CKD ESRD

Kaplan–Meier, Log-rank

Cox regression: Hazard Ratio, 95% C.I.

Single, multiple, backward stepwise (include p<0.05;

exclude p>0.15)

SAS 9.3 + SPSS1 17.0

Two-side p<0.05

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123 Townships with high

arsenic levels (≥ 50 µg/L)

were clustered in the

southwestern and

northeastern coast regions.

Fig. 1 Map of maximum

arsenic concentration

in each township.

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12

Fig. 2 Flow chart of the

nationwide cohort study

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1-1

TABLE-1 Cox regression models for occurrence of chronic kidney disease (N=362,505).

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1-2

TABLE-1 Cox regression models for occurrence of chronic kidney disease (N=362,505).

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1-3

TABLE-1 Cox regression models for occurrence of chronic kidney disease (N=362,505).

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Fig. 3 Kaplan–Meier survival analysis of CKD

Log-Rank test: p < 0.05

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2-1

TABLE-2 Cox regression models for occurrence of end-stage kidney disease (N=362,505).

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2-2

TABLE-2 Cox regression models for occurrence of end-stage kidney disease (N=362,505).

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2-3

TABLE-2 Cox regression models for occurrence of end-stage kidney disease (N=362,505).

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Fig. 4 Kaplan–Meier survival analysis of ESRD

Log-Rank test: p < 0.05

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Strengths and limitations

A large sample size and a long duration: therefore, the results should be more reliable than those from smaller case-control or cross-sectional studies.

Ecological fallacy.

Ours study using resident area measurements

instead of personal exposure data: series of studies have been conducted using similar approaches and identified increased risk of cerebrovascular

disease, pterygium, and liver cancer.

(Lin et al., 2008; Cheng et al., 2010; Chung et al., 2013; Lin et al., 2013)

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Conclusion

Using 50 µg/L as the cut-off, we found that a

higher level of arsenic in the drinking water was positive associated with AHR of 1.10 (95% CI:

1.08-1.12, p < 0.001) for the occurrence of CKD / AHR of 1.07 (95% CI: 1.01-1.14, p < 0.05) for the occurrence of ESRD in Taiwan, independent of

most documented risk factors including age, sex, SES, Hypertension, Hyperlipidemia, Stroke, CAD, diabetes mellitus (DM), and Malignancy.

Intervention programs should be implemented in endemic areas of exposure to slow the occurrence of kidney disease.

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Acknowledgements

This work was supported by Grants NSC102-

2314-B-006 -026-MY2 and MOST-104-2314-B- 006 -021 -MY2 from the Ministry of Science and Technology of Taiwan, R.O.C.

The database in our study was established by the National Health Insurance Research Database (NHIRD).

Co-author:

How-Ran Guo (M.D., Sc.D.), Junne-Ming Sung (M.D.), Yu-Tzu Chang (M.D.)

Travel Awards from ISEE 2016

Taiwan Epidemiology Association (TEA) Award

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Thank you for

your attention!

Q & A

數據

Fig. 1 Map of maximum  arsenic concentration
Fig. 2 Flow chart of the  nationwide cohort study
Fig. 3 Kaplan–Meier survival analysis of CKD
Fig. 4 Kaplan–Meier survival analysis of ESRD

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