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. 2015 Feb 23;5:8224. doi: 10.1038/srep08224

Comparison of dementia risk between end stage renal disease patients with hemodialysis and peritoneal dialysis - a population based study

Yi-Ting Lin 1,4, Ping-Hsun Wu 2,5, Mei-Chuan Kuo 2,6, Cheng-Sheng Chen 3,7, Yi-Wen Chiu 2,6,a, Yi-Hsin Yang 8, Ming-Yen Lin 2,9, Shang-Jyh Hwang 2,6, Hung-Chun Chen 2,6
PMCID: PMC4340159  PMID: 25703589

Abstract

A higher risk of dementia was reported in patients undergoing maintenance hemodialysis (HD) compared to those undergoing peritoneal dialysis (PD). Selection bias and competing risk of death were not considered in previous studies. The aim of this study was to investigate dementia risk in patients undergoing HD and PD by using the Taiwan Longitudinal Health Insurance Database. We enrolled 52,332 incident HD patients and 3292 incident PD patients who were older than 40 years between January 1, 1998 and December 31, 2007. During the study period, 3775 patients were diagnosed with dementia in the HD group (177.5 per 10,000 person-years incidence rate) and 181 patients in the PD group (145.9 per 10,000 person-years incidence rate). The results revealed that the higher hazard ratio of HD compared with PD for dementia disappeared after controlling for demographic characteristics, propensity score, and competing death risk (subdistribution hazard ratio was 1.086; 95% confidence interval, 0.940–1.255). In conclusion, HD did not increase the risk of dementia in dialysis-dependent patients compared to PD.

Dementia is a disorder of progressive cognitive dysfunction characterized by deterioration in daily life activities and the presence of psychiatric symptoms. It is a major cause of death and disability among elderly individuals in the general population1. Recent studies suggest that patients with end-stage renal disease (ESRD) have higher rates of cognitive impairment and dementia than the general population2,3,4,5. Dementia further worsens adverse outcomes, including disability, hospitalization, dialysis withdrawal, and mortality6,7,8. ESRD patients share risk factors for dementia with the general population9,10, and have nephrogenic-related and ESRD treatment-associated risk factors10,11,12. However, unlike the general population, patients with chronic kidney disease and ESRD have vascular dementia equally or more frequently than Alzheimer's disease (AD)13,14,15.

Despite the dementia risk in dialysis patients, the literature is limited regarding the influence of different dialysis modalities, namely hemodialysis (HD) and peritoneal dialysis (PD), on the risk of dementia. The existing literature suggests that the prevalence of cognitive impairment might be lower for patients undergoing PD than HD16,17,18. However, these results may be compromised by small sample sizes, selection bias, cross-sectional designs, and possible confounding factors12. Therefore, longitudinal studies are needed to determine whether dialysis modality is an independent risk factor for dementia in ESRD patients. This study's aim was to investigate the risk of dementia in ESRD patients with HD and PD using the National Health Insurance Research Database (NHIRD) in Taiwan. We hypothesized that HD patients would not have an increased risk of dementia compared to PD patients.

Methods

Data Source and Study Design

This study is based on the Taiwanese longitudinal health insurance database: the NHIRD. In 1995, Taiwan launched a compulsory social insurance program, the National Health Insurance (NHI), to provide health care for all residents. The database consists of the detailed health care data for over 99% of Taiwan's population.

The NHIRD includes a registry system for “Catastrophic Illnesses,” including ESRD. Insured persons with major diseases can apply for a catastrophic illness registration card from the Bureau of NHI. The database includes all relevant information about the catastrophic illness, including diagnostic codes (in the format of the International Classification of Disease, Ninth Revision, Clinical Modification [ICD-9-CM]), date of diagnosis, date of death, details of prescriptions, and details of outpatient/inpatient claimed data (for the beneficiaries with catastrophic illnesses). In this study, all cases of dialysis patients were retrieved from the Registry of Catastrophic Illness Database, a subpart of the NHIRD. For each dialysis patient, the information retrieved was validated by two nephrologists through careful examination of the underlying disease, laboratory data (e.g., renal function, nutritional status, and electrolyte levels), renal ultrasonography, and indications for dialysis treatment. For the current retrospective analysis, we included all dialysis patients registered in the Catastrophic Illness Database. In the ethic aspect, the database used consisted of de-identified secondary data, the study met the requirements of the “Personal Information Protection Act” in Taiwan. The data were analyzed anonymously and the need for informed consent was waived approved by institution of review board.

Study Cohorts

We selected patients diagnosed with ESRD and who received HD and PD for more than 90 days between January 1, 1998, and December 31, 2007. A diagnosis of ESRD was defined as having catastrophic illness registration cards for ESRD (ICD-9-CM code 585). We excluded individuals who were younger than 40 years (n = 4,385), had received renal transplantation either before or after dialysis (n = 479), and were diagnosed with dementia before dialysis (n = 3,494). The renal transplant rate is low in Taiwan; therefore, we excluded all patients who received transplants to avoid any confounding effects19,20,21. The modality that was used regularly after 90 days of dialysis was considered the initial treatment modality; patients who changed dialysis modality were classified by their initial treatment modality.

Comorbidities and Exposure to Confounding Medications for Propensity Score Estimation

We retrieved background information on patients' comorbidities one year before their first dialysis from the NHI database (Supplemental Table S1). Participants' use of other medications during the observation period is listed in Supplemental Table S2. Medication exposure was defined as an average frequency of at least one tablet per month. Comorbidities, medications, age, and sex were applied in the logistic regression models as propensity scores. Propensity score analyses were used to statistically control for the differences between the HD and PD groups on baseline patient characteristics.

Main Outcome Measurements and Follow-up

The main outcome variable was dementia (ICD-9-CM code: 290, 291.2, 294.1, 331.0, 331.1, and 331.2). Dementia classification required at least two records of outpatient visits or one hospital admission, and a diagnosis made by a neurologist or psychiatrist. We chose to analyze all types of dementia for a number of reasons. Indeed, the differentiation between AD and vascular dementia is not clear in certain situations22, and vascular dementia is considered a heterogeneous group of syndromes23. There is also considerable overlap in risk factors, clinical features, and radiographic and neuropathological findings between AD and vascular dementia. Moreover, the relationship between vascular lesions may modify the course of AD, and this relation is bidirectional24. We only performed “intent-to-treat” survival analysis and spared “as–treated” when comparing the two modalities. We followed this procedure because it was difficult to define the rule to assign the event to previous or latter modality once dementia was diagnosed after the modality shift and the rate of modalities transferred was a small portion of the long-term dialysis patients in Taiwan20. In the present study, there were only 1814 patients (3.26%) who changed dialysis modality during the observation period.

The follow-up period started on the index date of incident dialysis and continued for dementia diagnosis until the date of death or until December 31, 2008. A death event was identified if patients' discharge status was coded as “death,” dates of death were claimed by catastrophic illness registration files, or patients unenrolled from the NHI program and who had not enrolled in the NHI beneficiary registry files. As the NHI is a compulsory plan, it would be rare that a patient would unenrol unless death had occurred.

Statistical Analysis

The continuous data were analyzed via Student's t-test; the categorical data were analyzed via chi-squared tests. To evaluate the performance of propensity score adjustment in controlling for confounding, logistic regressions with dementia as outcome were performed for each of the baseline characteristics, comorbidities, and medication use for propensity score25. We then calculated the crude and subdistribution hazard ratios (HRs) controlling for propensity score strata in deciles and their 95% CIs comparing HD versus PD initiators using proportional hazards regression.

The occurrence of dementia in the two different dialysis modality groups has a competing risk for death; therefore, we used the cumulative incidence competing risk (CICR) method26 to estimate the cumulative incidence rates of dementia in the two groups. We also tested for the fulfillment of the assumption of proportional hazards by creating interactions between predictors and survival time (the P value for proportionality is 0.140). We then applied the proportional hazards model for the subdistribution of a competing risk to estimate the subdistribution hazard ratios and 95% confidence intervals (CIs) in relation to the primary outcomes27. The relative dementia risk of the two dialysis modalities was further compared across different strata (Tables 1 & 2). Analyses were performed using the SAS statistical package (version 9.3; SAS Institute Inc, www.sas.com). Calculations of cumulative incidence in the competing risk analysis were undertaken using the “cmprsk” package R (http://cran.r-project.org/web/packages/cmprsk/index.html). All statistical tests were two-tailed. A P-value < 0.05 was considered statistically significant.

Table 1. Baseline patient characteristics and comorbidities between hemodialysis and peritoneal dialysis.

  Hemodialysis (n = 52,332) Peritoneal dialysis (n = 3292)  
Characteristic N % N % P value
Age at cohort entry         <0.001
 40–54 10,346 19.8 1101 33.4  
 55–64 12,674 24.2 868 26.4  
 65–74 16,390 31.3 777 23.6  
 > = 75 12,922 24.7 546 16.6  
Sex         <0.001
 Male 24,976 47.7 1466 44.5  
 Female 27,356 52.3 1826 55.5  
Initiation year         <0.001
 1997–1999 12,545 24 703 21.4  
 2000–2002 14,177 27.1 768 23.3  
 2003–2005 15,784 30.2 980 29.8  
 2006–2008 9826 18.8 841 25.5  
Urbanization level         <0.001
 City area 14,390 27.5 709 21.5  
 Rural area 37,942 72.5 2583 78.5  
Socioeconomic status         <0.001
 Low economics 22,084 42.2 1331 40.4  
 Moderate economics 14,714 28.1 797 24.2  
 High economics 15,534 29.7 1164 35.4  
Comorbidities          
 Diabetes mellitus 24,963 47.7 1363 41.4 <0.001
 Hypertension 30,478 58.2 2121 64.4 <0.001
 Hyperlipidemia 6993 13.4 583 17.7 <0.001
 Ischemic heart disease 10,745 20.5 679 20.6 0.899
 Heart failure 9421 18 482 14.6 <0.001
 Atrial fibrillation 890 1.7 48 1.5 0.294
 Peripheral artery disease 611 1.2 17 0.5 <0.001
 Cerebrovascular disease 7289 13.9 315 9.6 <0.001
 COPD 4949 9.5 192 5.8 <0.001
 Asthma 1813 3.5 99 3 0.163
 Thyroid disease 451 0.9 35 1.1 0.229
 SLE 385 0.7 52 1.6 <0.001
 Rheumatoid arthritis 436 0.8 26 0.8 0.790
 Osteoarthritis 3828 7.3 193 5.9 0.002
 Gout 4913 9.4 399 12.1 <0.001
 Chronic liver disease 4413 8.4 244 7.4 0.040
 Peptic ulcer disease 8281 15.8 424 12.9 <0.001
 Malignancy 3618 6.9 160 4.9 <0.001
 Alcohol dependence 334 0.6 11 0.3 0.031
 Psychotic disorder 701 1.3 33 1 0.100
 Depressive disorder 194 0.4 9 0.3 0.369
 Anxiety disorder 1431 2.7 93 2.8 0.758
 Sleep disorder 3963 7.6 274 8.3 0.116
 Seizure disorder 457 0.9 25 0.8 0.494
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Abbreviations: COPD, chronic obstructive pulmonary disease; SLE, systemic lupus erythematosus.

Table 2. Baseline patient medications prescription between hemodialysis and peritoneal dialysis.

  Hemodialysis (n = 52,332) Peritoneal dialysis (n = 3292)  
Medications use N % N % P value
Antiplatelets 11,986 22.9 740 22.5 0.573
Anticoagulants 703 1.3 40 1.2 0.534
Dipyridamole 12,935 24.7 906 27.5 <0.001
Nitrates 10,804 20.6 687 20.9 0.759
ACEIs 12,375 23.6 780 23.7 0.951
ARBs 10,128 19.4 841 25.5 <0.001
Beta-blockers 16,174 30.9 1346 40.9 <0.001
Thiazides 10,736 20.5 675 20.5 0.988
CCBs 26,391 50.4 1928 58.6 <0.001
Statins 7915 15.1 734 22.3 <0.001
Fibrates 3226 6.2 271 8.2 <0.001
Oral antidiabetic agents 15,213 29.1 868 26.4 <0.001
Insulin 7543 14.4 502 15.2 0.186
Traditional NSAIDs 9331 17.8 480 14.6 <0.001
COX-2 inhibitors 2525 4.8 145 4.4 0.274
PPIs 3245 6.2 208 6.3 0.786
H-2 receptor antagonists 2651 5.1 136 4.1 0.017
Antipsychotic agents 1236 2.4 57 1.7 0.020
Antidepressants 3200 6.1 216 6.6 0.301
Benzodiazepines 8114 15.5 575 17.5 0.003
Hypnotics 7479 14.3 558 17 <0.001
Antiepileptics 4113 7.9 330 10 <0.001
Uric acid lowering agents 6885 13.2 600 18.2 <0.001
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Abbreviations: ACEIs, angiotensin-converting-enzyme inhibitors; ARBs, angiotensin receptor blockers; CCBs, calcium-channel blockers; traditional NSAIDs, traditional nonsteroidal anti-inflammatory drugs; COX-2 inhibitors, cyclooxygenase-2- selective inhibitors; PPIs, proton-pump inhibitors; H2- receptor antagonists, histamine-2 receptor antagonists.

Results

Baseline Characteristics of HD groups and PD groups

Figure 1 presents a flow chart of the study. There were 63,982 incident patients undergoing dialysis for more than 3 months between 1998 and 2007. After removing patients based on the aforementioned exclusion criteria, 55,264 eligible patients were enrolled. Of these eligible patients, 52,332 received HD and 3,292 received PD for more than 3 months. Table 1 compares the clinical characteristics of the HD group and the PD group before the propensity score analyses. The patients in the HD group were older; more likely to be male; living in urban areas; of a lower socioeconomic status; more likely to have diabetes mellitus, heart failure, peripheral artery disease, chronic obstructive pulmonary disease, osteoarthritis, chronic liver disease, peptic ulcer disease, malignancy, or alcohol dependence; and less likely to have a history of other underlying diseases, including hypertension, hyperlipidemia, systemic lupus erythematosus, and gout than the PD group. In addition, a significantly higher proportion of the patients in the PD group received dipyridamole, angiotensin receptor blockers, beta-blockers, calcium-channel blockers, statins, fibrates, benzodiazepines, hypnotics, anti-epileptics, and uric acid lowering agents. However, the patients in the HD group received more oral antidiabetic agents, traditional nonsteroidal anti-inflammatory drugs, histamine-2 receptor antagonists, and antipsychotic agents than the PD group. There was no significant difference in these characteristics between the two dialysis modalities groups after the propensity score adjustment.

Figure 1. Schematic diagram of study participant selection and dementia identification in both HD and PD group.

Figure 1

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Cumulative Incidence and Hazard ratio of Dementia between HD and PD during Follow-up

A total of 3775 dementia case in the HD group and 181 cases in the PD group had been identified in the observation period. Table 3 presents information on follow-up duration, dementia events, and dementia rate. The mean follow up years were 4.07 ± 3.10 years in the HD group and 3.79 ± 3.06 years in the PD group. The median follow up years were 3 years in the HD group and 3 years in the PD group. Compared with HD, PD was associated with similar survival rates in the present study (data not shown). The crude incidence rate of dementia per 1,000 person-years was 17.75 (95% CI, 17.19–18.33) for the HD group initiators and 14.59 (95% CI, 12.54–16.88) for the PD group (Table 3). Using CICR method with considering for competing risk of mortality, the cumulative incidence rates for dementia occurrence were significantly higher in the HD group (7.21%) than in the PD group (5.50%) (modified Log-rank P = 0.04; Figure 2). Table 4 presents the univariate and multivariable Fine and Gray regression model analyses. The unadjusted HR for the occurrence of dementia in the HD group compared with the PD group (reference group) was 1.24 (95% CI, 1.07–1.44; P < 0.001). Death before the occurrence of dementia was defined as competing mortality. A multivariable analysis using the proportional hazards model for the subdistribution of a competing risk was further used for competing mortality. In this model (Model 1), the HD group showed a higher risk of dementia (subdistribution HR [sHR], 1.30, 95% CI, 1.13–1.50; P < 0.001) than the PD group. Compared with the PD group, the dementia risk with the HD group was not significant after additionally adjusting for age, sex, urbanization level, and socioeconomic status (sHR, 1.06, 95% CI, 0.92–1.23; P = 0.425; Model 2). The dementia risk was still not statistically significant difference between the HD group and the PD group after controlling for baseline propensity scores and competing death risk (sHR, 1.09, 95% CI, 0.94–1.26; P = 0.264; Model 3).

Table 3. Follow-up duration, dementia events, and crude incidence rate of dementia among hemodialysis groups and peritoneal dialysis groups.

Clinical outcome Hemodialysis (n = 52,332) Peritoneal dialysis (n = 3292)
Total follow-up person-years 212,641 12,405
Numbers of dementia cases 3775 181
Mean follow-up time ± SD (years) 4.07 ± 3.10 3.79 ± 3.06
Median follow-up time (IQR) (years) 3.00 (1.00–7.00) 3.00 (1.00–7.00)
Incidence rate per 1,000 person-years (95% CI) 17.75 (17.19–18.33) 14.59 (12.54–16.88)
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Footnote: CI, confidence interval.

Figure 2. Cumulative incidences of dementia between hemodialysis and peritoneal dialysis.

Figure 2

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For the cumulative incidences of dementia, cumulative incidence competing risk method (Gray methods) were performed by conducting calculations and comparisons using competing risk data.

Table 4. Hazard ratio for dementia comparing hemodialysis and peritoneal dialysis in various analytical models.

  Outcome of dementia comparing hemodialysis and peritoneal dialysis (peritoneal dialysis as reference group)
Various analytical models Crude HR (95% CI) Subdistribution HRa (95% CI)
Model 1 1.241 (1.069–1.440) 1.302 (1.128–1.504)
Model 2 — 1.060 (0.918–1.225)
Model 3 — 1.086 (0.940–1.255)
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ause the competing risk approach.

Model 1: use the competing risk approach.

Model 2: adjustment for age, sex, urbanization level, socioeconomic status, and use the competing risk approach.

Model 3: adjustment for baseline propensity score and use the competing risk approach.

Subgroup Analyses

Figure 3 shows the results of the multivariate stratified analysis. In each stratum, the sHR was compared between the HD group and the PD group. The HD group was not associated with an increased risk of dementia in any of the subgroups. The stratified analysis sHRs were used a competing death risk approach and adjusted for baseline propensity scores. These observations further confirmed the same not statistically significant different dementia risk between the HD group and the PD group in incident dialysis patients.

Figure 3. Stratified analysis for dementia between hemodialysis and peritoneal dialysis.

Figure 3

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The risk of dementia between hemodialysis and peritoneal dialysis (presented by subdistribution hazard ratios and 95% confidence intervals in subgroups of patients after adjusting for propensity score and using the competing risk approach) is shown, stratified by the baseline characteristics.

Discussion

Our study compared the risk of dementia between HD and PD groups while accounting for the competing risk of death and other covariates as propensity scores (Tables 1 and 2). The incidence rate of dementia, crude HR, and competing death risk subdistribution HR were higher in the HD group than the PD group. However, the results indicated that the higher hazard ratio of HD, compared with PD, for dementia disappeared after adjusting for demographic characteristics, including age, sex, urbanization level, and socioeconomic status. To our knowledge, this is the first study to demonstrate that there is no difference in risk of dementia occurrence after dialysis between HD and PD from a nationwide cohort study.

We also found an equal hazard risk between HD and PD for developing dementia. Importantly, this was inconsistent with previous work indicating a higher risk for HD16,17,18. However, previous studies consisted of investigations with small sample sizes, cross-sectional designs, and/or unadjusted comorbidities and demographic characteristics. These methodologies may be flawed given that cross-sectional observation studies account for both the effect before and after dialysis. Furthermore, each dialysis modality has a different effect on patients' physical, psychological, and social health. Thus selection bias may exist if researchers do not adjust for confounding factors. The longitudinal design used herein may better reflect the dialysis procedure and adjust for confounding factors.

Our results confirm a different demographic distribution between patients choosing HD and PD (Table 1). The HD patients tended to be elderly, of lower socioeconomic status, and living in urban areas; the first two demographic features are risk factors for dementia6,28. Therefore, we suggest that HD was mistakenly considered a risk factor for dementia over PD because previous studies did not account for confounding demographic factors.

The neuropathology of cognitive impairment and dementia in ESRD is not well-known. Cerebrovascular disease may play an important role. Indeed, the brain and kidneys have many common anatomic and vasoregulatory features, being low resistance end organs exposed to a high volume of blood flow and susceptible to vascular damage29. Hence, dementia and ESRD are reflections of vascular injury in different end organs and share a common pathogenesis10. However, ischemic stroke may be why vascular dementia exceeds the portion of AD among dialysis patients. However, when HD and PD patients are compared, there is no significant difference in developing ischemic stroke30,31; this may explain why there was no significantly different risk for dementia in HD and PD patients in this study.

Additionally, other potential mechanisms, including direct neuronal injury by uremic toxins, could also be involved in dementia risk among ESRD patients. In general, dialysis efficacy, such as uremic toxin removal, is different between HD and PD. However, the persistence of cognitive impairment despite clinically adequate dialysis dose delivery indicates that other factors also contribute to brain dysfunction. Furthermore, frequent HD did not improve cognition in a randomized clinical trial32,33 and did not suggest that uremic toxins are the major cause of cognitive impairment. Thus, cerebrovascular disease remains a powerful risk factor for the development of cognitive impairment, especially in dialysis patients.

Although the risk for dementia is similar in both modalities, some mechanisms between them may differ. Beyond the cerebrovascular events related to dementia risk, the HD process results in rapid changes in blood pressure, rapid and large intravascular volume loss, fluid shifts leading to subclinical cerebral edema, decreased cerebral perfusion, and cerebral ischemia; each may contribute to cognitive impairment34,35. Thus, the massive, uncontrollable hemodynamic and metabolic changes in the brain during HD sessions may contribute to cognitive decline in HD patients. PD does not involve the same rapid fluid and electrolyte shifts; however, fluid overloading and secondary metabolic disorders from glucose-based dialysate used in PD may contribute to cognitive impairment.

In addition, white matter disease (leukoaraiosis) is present in many PD36 and HD patients36; this is related to vascular degenerative morphology consistent with chronic hypoxia and vascular hypoperfusion. Hence, white matter disease is associated with an increased risk of stroke, disability, and cognitive impairment and decline37,38. Thus, it is possible that there is a similar risk, but via a different pathway for PD and HD patients. Therefore, the prevention of cerebrovascular disease may be a crucial for the prevention of dementia in both PD and HD patients.

The present study had a number of strengths, including a nationally representative, non-selective cohort of dialysis patients from a well-established research database. The assessment of the HD groups and PD groups was accurate because NHI is a compulsory and universal healthcare system with a high coverage rate in Taiwan. Indeed, patient dropout was avoided and recall bias minimized because all claims from different medical institutes from 1998–2007 were obtained for analysis. Furthermore, the diagnosis of dementia was strictly defined by neurologists or psychiatrists after the maintenance dialysis. Thus, diagnosis accuracy was comprehensive.

Nevertheless, there were limitations that warrant consideration. The study was retrospective and based on a review of the medical records, not on formal cognitive functioning tests. Diagnosis based on ICD-9 coding is likely to underestimate the true number of dementia cases in our study because dialysis patients are rarely assessed for dementia. Thus, there was higher portion of not confirmed dementia cases in HD than PD group according to the way we used to identify dementia (11.3% in HD group vs. 6.8% in PD group as shown in Figure 1). Although this could be a random result since HD and PD had similar comorbidities and care facilities, bias of underestimate the risk for dementia could exist. In order to define the diagnosis of dementia more precisely, the one who had ICD-9 coding given by neurologist or psychiatrist was identified as dementia patient. Neurologist or psychiatrist was well trained and the most qualified to evaluate the diagnosis of dementia in our country. The diagnosed dementia rate by neurologist or psychiatrist was 7.21% in the HD group and 5.50% in the PD group; this is similar to dementia diagnoses in the Dialysis Outcomes and Practice Patterns Study6. Additionally, the incidence of dementia in this study was higher than chronic kidney disease39 and the general population40 (17.75 per 1,000 person-years for the HD group, 14.59 per 1,000 person-years for the PD group). Dementia coding has reportedly low sensitivity but high specificity41,42, and physician recognition and documentation of dementia underestimates the true prevalence of dementia43. Therefore, it is likely that patients identified as having dementia in our study did have dementia, but also that there were patients with dementia who were not identified. Undifferentiated misclassification generally biases results towards null findings.

Additionally, the diagnosis of the various comorbidities was based on claims data and ICD-9-CM codes potentially associated with a misclassification bias. However, the NHI Bureau of Taiwan performs regular audits on the quality of data captured and imposes heavy penalties for outlier charges or malpractice. Moreover, the NHIRD lacks information about other potential confounding factors–such as smoking, physical inactivity, genetic factors, family history, laboratory data, dialysis dose, and hemodynamic stability during dialysis sessions–which is a limitation. Furthermore, information regarding the degree or stage of dementia was unavailable, and dementia subtypes were not considered in the analyses herein. Finally, this study included Taiwanese patients, meaning that the results may not be generalizable to other populations because of the differences in dementia incidence, subtypes, and pathogenesis across countries.

Conclusion

This large nationwide population-based cohort study suggests no significant difference in dementia risk among Taiwanese HD patents and PD patients.

Author Contributions

Conceived and designed the experiments: Y.T.L., P.H.W., M.C.K., C.S.C. and Y.W.C. Performed the experiments: Y.T.L. and P.H.W. Analyzed the data: Y.T.L., Y.H.Y. and M.Y.L. Prepare Tables and Figure: Y.T.L. and P.H.W. Wrote the paper: Y.T.L., P.H.W., C.S.C., Y.W.C., S.J.H. and H.C.C. All authors reviewed the manuscript.

Supplementary Material

Supplementary Information

Supplementary table

srep08224-s1.pdf (197.6KB, pdf)

Acknowledgments

This study is based in part on data from the NHIRD provided by the Bureau of National Health Insurance, Department of Health, and managed by the National Health Research Institutes (Registered number 99324). This work was supported in part by grants from the intramural grants from the Kaohsiung Medical University Hospital (KMUH102-2M54). The interpretation and conclusions contained herein do not represent the views of the Bureau of National Health Insurance, Department of Health or National Health Research Institutes. The authors thank the help from the Statistical Analysis Laboratory, Department of Internal Medicine, Kaohsiung Medical University Hospital.

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