# Lower Urinary Tract Symptoms Are Associated with Increased Risk of Dementia among the Elderly: A Nationwide Study

Authors: Chi-Hsiang Chiang; Ming-Ping Wu; Chung-Han Ho; Shih-Feng Weng; Chien-Cheng Huang; Wan-Ting Hsieh; Ya-Wen Hsu; Ping-Jen Chen
Journal: BioMed Research International
 (2015)

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## Abstract

Studies show a strong association between dementia and lower urinary tract symptoms (LUTS). The aim of this study was to investigate whether LUTS are a risk factor for cognitive impairment. We enrolled 50-year-old and older subjects with LUTS (LUTS[+]) (n=6801) and controls without LUTS (LUTS[−]) (n=20,403) from Taiwan’s National Health Insurance Research Database. LUTS, dementia, and other confounding factors are defined by International Classification of Diseases, Ninth Revision, Clinical Modification Codes. Participants were recruited from 2000 to 2004 and then followed up until death or the end of 2011. The outcome was the onset of dementia, which was assessed using Poisson regression analysis, Cox hazards models, and Kaplan-Meier survival curves. The incidence of dementia was significantly higher in the LUTS[+] group than in the LUTS[−] group (124.76 versus 77.59/1000 person-years). The increased risk of dementia related to LUTS remained significant after adjustment for potential confounders (adjusted hazard ratio (AHR): 1.61, 95% confidence interval (CI) 1.47–1.76, P<0.0001) and higher than that related to cerebrovascular disease (AHR: 1.43, 95% CI 1.26–1.61, P<0.0001). The outcome suggests the need for early screening and appropriate intervention to help prevent cognitive impairment of patients with LUTS.


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## Body

## 1. Introduction

Both dementia and lower urinary tract symptoms (LUTS) are common problems in the elderly population, and they have a considerable effect on healthcare and social welfare systems [1, 2]. They increase the caregiver burden [3], dependency, care costs [4, 5], the incidence of skin damage [6], and anxiety and depression, and they reduce quality of life [7, 8].The incident rate of LUTS is higher in those with dementia than without it [9–11]. Maintaining the continence is a complex mechanism that requires initiating the micturition reflex, responding to the sensation of a full bladder, and inhibiting the passage of urine [12]. Therefore, the progressive impairment of global brain function may have a substantial influence on the micturition control [7, 13].Grant et al., however, found that the median interval between the onset of dementia and LUTS is only 9–11 months [9]. The clinical presentation implied that the functional decline in cognition and micturition may be concomitant. Moreover, recent researches demonstrated that LUTS may facilitate the progress of cardiovascular insults through multifactorial mechanism such as autonomic nervous dysfunction, affective disorders, or the adverse effects of drugs [14], and LUTS were identified as a significant predictor of acute cardiovascular events [15, 16]. Cardiovascular disease is a known risk factor of symptomatic or healthcare-seeking dementia [17, 18]. It is unclear whether LUTS are an early prodrome of declining global brain function or a risk factor of cognitive impairment.We used Taiwan’s National Health Insurance Research Database (NHIRD) for a cohort study to confirm the hypothesis that LUTS are associated with a higher risk of dementia.


## 2. Materials and Methods

### 2.1. Data Source

Our data source is a randomly sampled cohort of 1 million people from the general population in NHIRD from 2000 to 2011. It is a representative cohort of Taiwan’s population of 23 million. More than 99% of the citizens are the beneficiaries covered by National Health Insurance (NHI) for their medical expenditures. All the claim data of the healthcare services, including hospitalization and outpatient clinics, has been collected and encrypted in the NHIRD. Personal information in this dataset cannot be identified after encryption, and using the data must be authorized by the Taiwan Bureau of National Health Insurance (BNHI). Confidentiality assurances are addressed by following the data regulations of the BNHI. Our research protocol was approved by the institutional review board of Chi-Mei Medical Center.


### 2.2. Definition of LUTS

We identified patients who used outpatient services or who made hospitalization claims during the study period with the following categories of The International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) Codes: (a) storage symptoms, including hypertonicity of the bladder (ICD-9-CM code 596.51), stress urinary incontinence in women (625.6) and men (788.32), urgent incontinence (788.31), frequency and polyuria (788.4), nocturnal enuresis (788.36), nocturia (788.43), and mixed incontinence (788.33); (b) voiding symptoms, including retention of urine (788.2), splitting and slowing of urine stream (788.6), and post-void dribbling (788.35) [19]. We excluded the codes of benign prostatic hyperplasia that seem to be a kind of structural obstruction of urine flow outlet rather than nervous system degeneration.


### 2.3. Identifying Patients

We defined the recruitment period of 2000 to 2004 and identified patients with either of the following criteria as the LUTS group: (1) at least three outpatient service claims with the codes of LUTS at any clinics within one year after the first LUTS code; (2) any one single hospitalization with LUTS among the 5 principal claims diagnosis codes [19]. The date of the first LUTS code for every patient was designated as the index date of entry. We excluded those patients with any one time ICD-9-CM codes of dementia (290.0–290.4, 331.0, 331.82) before the index entry date. From patients without LUTS and free of dementia, a comparison group was assembled by matching LUTS patients with 3 non-LUTS patients on age and gender. The comorbidities of interest were diabetes mellitus (DM, ICD-9-CM code 250), hyperlipidemia (272), hypertension (HTN) (401–405), ischemic heart disease/coronary artery disease (CAD) (410–414), cerebrovascular disease (430–438), and atrial fibrillation (AF) (427.31).


### 2.4. Follow-Up and Outcome Measures

The major outcome of this study was the first diagnosis of dementia: senile and presenile dementia (ICD-9-CM codes 290.0-3), vascular dementia (290.4), Alzheimer’s disease (331.0), and dementia with Lewy bodies/Parkinsonism with dementia (331.82). The diagnosis of dementia had to fit either of the following criteria: (1) at least three outpatient service claims with the codes of dementia at any clinics within one year after the first dementia code and (2) any one single hospitalization with dementia among the 5 principal claims diagnosis codes. The identified patients were followed up until death or the end of 2011.


### 2.5. Statistical Analysis

Pearson’sχ2 test was used to estimate the differences in age group, gender, selected comorbidities (HTN, DM, CAD, hyperlipidemia, cerebrovascular disease, and AF), and dementia between the two cohorts. The difference in mean age between the LUTS and the non-LUTS groups was determined using the Student’s t-test.The dementia incidence rate was calculated by dividing the number of dementia patients by the total person years of both groups. Absolute risk estimates were calculated as rates per 10,000 person-years of observation. A Poisson regression with total person-years as an offset variable was used to calculate the incidence rate ratios of dementia. In addition, Kaplan-Meier curves and the log-rank test were used to describe the proportion of dementia-free patients and compare risk difference between the LUTS and the non-LUTS groups. Cox regression analysis was used to obtain adjusted hazard ratios (AHR) for potential confounding. SAS 9.3 (SAS Institute, Cary, NC) was used for all statistical analyses. Significance was set atP<0.05. Kaplan-Meier curves were plotted using STATA 12 (Stata Corp.College Station, TX).


## 2.1. Data Source

Our data source is a randomly sampled cohort of 1 million people from the general population in NHIRD from 2000 to 2011. It is a representative cohort of Taiwan’s population of 23 million. More than 99% of the citizens are the beneficiaries covered by National Health Insurance (NHI) for their medical expenditures. All the claim data of the healthcare services, including hospitalization and outpatient clinics, has been collected and encrypted in the NHIRD. Personal information in this dataset cannot be identified after encryption, and using the data must be authorized by the Taiwan Bureau of National Health Insurance (BNHI). Confidentiality assurances are addressed by following the data regulations of the BNHI. Our research protocol was approved by the institutional review board of Chi-Mei Medical Center.


## 2.2. Definition of LUTS

We identified patients who used outpatient services or who made hospitalization claims during the study period with the following categories of The International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) Codes: (a) storage symptoms, including hypertonicity of the bladder (ICD-9-CM code 596.51), stress urinary incontinence in women (625.6) and men (788.32), urgent incontinence (788.31), frequency and polyuria (788.4), nocturnal enuresis (788.36), nocturia (788.43), and mixed incontinence (788.33); (b) voiding symptoms, including retention of urine (788.2), splitting and slowing of urine stream (788.6), and post-void dribbling (788.35) [19]. We excluded the codes of benign prostatic hyperplasia that seem to be a kind of structural obstruction of urine flow outlet rather than nervous system degeneration.


## 2.3. Identifying Patients

We defined the recruitment period of 2000 to 2004 and identified patients with either of the following criteria as the LUTS group: (1) at least three outpatient service claims with the codes of LUTS at any clinics within one year after the first LUTS code; (2) any one single hospitalization with LUTS among the 5 principal claims diagnosis codes [19]. The date of the first LUTS code for every patient was designated as the index date of entry. We excluded those patients with any one time ICD-9-CM codes of dementia (290.0–290.4, 331.0, 331.82) before the index entry date. From patients without LUTS and free of dementia, a comparison group was assembled by matching LUTS patients with 3 non-LUTS patients on age and gender. The comorbidities of interest were diabetes mellitus (DM, ICD-9-CM code 250), hyperlipidemia (272), hypertension (HTN) (401–405), ischemic heart disease/coronary artery disease (CAD) (410–414), cerebrovascular disease (430–438), and atrial fibrillation (AF) (427.31).


## 2.4. Follow-Up and Outcome Measures

The major outcome of this study was the first diagnosis of dementia: senile and presenile dementia (ICD-9-CM codes 290.0-3), vascular dementia (290.4), Alzheimer’s disease (331.0), and dementia with Lewy bodies/Parkinsonism with dementia (331.82). The diagnosis of dementia had to fit either of the following criteria: (1) at least three outpatient service claims with the codes of dementia at any clinics within one year after the first dementia code and (2) any one single hospitalization with dementia among the 5 principal claims diagnosis codes. The identified patients were followed up until death or the end of 2011.


## 2.5. Statistical Analysis

Pearson’sχ2 test was used to estimate the differences in age group, gender, selected comorbidities (HTN, DM, CAD, hyperlipidemia, cerebrovascular disease, and AF), and dementia between the two cohorts. The difference in mean age between the LUTS and the non-LUTS groups was determined using the Student’s t-test.The dementia incidence rate was calculated by dividing the number of dementia patients by the total person years of both groups. Absolute risk estimates were calculated as rates per 10,000 person-years of observation. A Poisson regression with total person-years as an offset variable was used to calculate the incidence rate ratios of dementia. In addition, Kaplan-Meier curves and the log-rank test were used to describe the proportion of dementia-free patients and compare risk difference between the LUTS and the non-LUTS groups. Cox regression analysis was used to obtain adjusted hazard ratios (AHR) for potential confounding. SAS 9.3 (SAS Institute, Cary, NC) was used for all statistical analyses. Significance was set atP<0.05. Kaplan-Meier curves were plotted using STATA 12 (Stata Corp.College Station, TX).


## 3. Results

We enrolled 6801 patients with LUTS in the LUTS[+] study group and 20,403 patients in the LUTS[−] control group. Age (mean: 67.29±9.42 years) and gender distributions were comparable. The LUTS[+] group had a significantly higher prevalence of HTN, DM, CAD, hyperlipidemia (marginally significant), AF, and cerebrovascular disease, which were known as comorbidities of LUTS in other studies [14, 15, 20]. These factors were adjusted for affecting reason. Significantly (P<0.0001) more LUTS[+] group patients (741 (10.9%)) than LUTS[−] group patients (1418 (6.9%)) had dementia during the follow-up. The median time span from the enrollment to the onset of dementia was significantly (P=0.0002) shorter in the LUTS[+] group than in the LUTS[−] group (Table 1).Table 1
Demographic information.
Non-LUTS (n=20403)
LUTS (n=6801)
P
*
Age (years) (mean ± SD)
67.29 ± 9.42
67.29 ± 9.42
0.9994
Age (years)
50~60
5171 (25.34)
1723 (25.33)
1.0000
60~70
6491 (31.81)
2164 (31.82)
70~80
7071 (34.66)
2356 (34.64)
≥80
1670 (8.19)
558 (8.20)
Gender
Male
11469 (56.21)
3823 (56.21)
1.0000
Female
8934 (43.79)
2978 (43.79)
Hypertension
Yes
6949 (34.06)
2420 (35.58)
0.0220
No
13454 (65.94)
4381 (64.42)
Diabetes
Yes
2985 (14.63)
1141 (16.78)
<0.0001
No
17418 (85.37)
5660 (83.22)
Coronary artery disease
Yes
2408 (11.80)
907 (13.34)
0.0008
No
17995 (88.20)
5894 (86.66)
Hyperlipidemia
Yes
1576 (7.72)
574 (8.44)
0.0582
No
18827 (92.28)
6227 (91.56)
Cerebrovascular disease
Yes
1591 (7.80)
707 (10.40)
<0.0001
No
18812 (92.20)
6094 (89.60)
Atrial fibrillation
Yes
229 (1.12)
101 (1.49)
0.0180
No
20174 (98.88)
6700 (98.51)
Time to dementia (year)
Median (IQR)
4.97 (2.57–7.07)
4.37 (1.93–6.61)
0.0002
Dementia
Yes
1418 (6.95)
741 (10.90)
<0.0001
No
18985 (93.05)
6060 (89.10)
*It is determined using Student’s t-test or the Wilcoxon test for continuous variables and the χ2 test for categorical variables. Data are number (%). LUTS: lower urinary tract symptoms; SD: standard deviation; IQR: interquartile range.The incidence rate ratio of dementia in the LUTS[+] group to the LUTS[−] group is 1.63 (95% confidence interval (CI) 1.49–1.78, P<0.0001) after adjusting age and gender (Table 2). With the increase of age, the incidence rate of dementia rose as well, while the risk ratio of LUTS[+] group to the LUTS[−] group showed a reverse J curve with the peak risk ratio of 2.0 in the 60–70-year-old subgroup. LUTS had a consistent impact on higher risk of dementia in each subgroup stratified by different cardiovascular confounding factors. Kaplan-Meier survival curves showed that the patients in the LUTS[−] group were less likely to have dementia than those in the LUTS[+] group (Figure 1).Table 2
Incidence of dementia in LUTS patients.
Non-LUTS (n=20403)
LUTS (n=6801)
Adjusted IRR* (95% CI)
P
N
Dementia number
PY
IR
N
Dementia number
PY
IR
Total
20403
1418
182760.38
77.59
6801
741
59392.21
124.76
1.63 (1.49–1.78)
<0.0001
Age (years)
50~60
5171
67
47695.02
14.05
1723
36
15834.09
22.74
1.62 (1.08–2.43)
0.0198
60~70
6491
284
59208.05
47.97
2164
185
19289.33
95.91
2.00 (1.66–2.41)
<0.0001
70~80
7071
804
61574.10
130.57
2356
396
19740.50
200.60
1.54 (1.37–1.74)
<0.0001
≥80
1670
263
14283.21
184.13
558
124
4528.29
273.83
1.49 (1.20–1.84)
<0.0003
Gender
Male
11469
814
101731.17
80.02
3823
403
33165.82
121.51
1.52 (1.36–1.72)
<0.0001
Female
8934
604
81029.20
74.54
2978
338
26226.39
128.88
1.76 (1.54–2.01)
<0.0001
Hypertension
No
13454
809
121784.75
66.43
4381
393
39480.85
99.54
1.49 (1.32–1.69)
<0.0001
Yes
6949
609
60975.62
99.88
2420
348
19911.36
174.78
1.81 (1.59–2.06)
<0.0001
Diabetes
No
17418
1156
156414.36
73.91
5660
585
49944.80
117.13
1.62 (1.47–1.79)
<0.0001
Yes
2985
262
26346.02
99.45
1141
156
9447.41
165.13
1.62 (1.33–1.98)
<0.0001
Coronary artery disease
No
17995
1180
161652.69
73.00
5894
614
51908.31
118.29
1.66 (1.50–1.83)
<0.0001
Yes
2408
238
21107.69
112.76
907
127
7483.90
169.70
1.48 (1.19–1.84)
0.0004
Hyperlipidemia
No
18827
1311
169048.45
77.55
6227
665
54693.83
121.59
1.58 (1.44–1.74)
<0.0001
Yes
1576
107
13711.93
78.03
574
76
4698.38
161.76
2.16 (1.61–2.91)
<0.0001
Cerebrovascular disease
No
18812
1220
169158.45
72.12
6094
607
53732.30
112.97
1.59 (1.45–1.76)
<0.0001
Yes
1591
198
13601.92
145.57
707
134
5659.92
236.75
1.66 (1.33–2.07)
<0.0001
Atrial fibrillation
No
20174
1395
180772.73
77.17
6700
719
58568.11
122.76
1.61 (1.47–1.76)
<0.0001
Yes
229
23
1987.65
115.72
101
22
824.10
266.96
2.27 (1.26–4.06)
0.0061
CI: confidence interval; IR: incidence rate, per 1000 person-years; IRR: incidence rate ratio; LUTS: lower urinary tract symptoms; PY: person-years.
*The IRR was adjusted by age and gender.Figure 1
Kaplan-Meier plot for patients with dementia by lower urinary tract symptoms (LUTS).In a Cox regression model, age remained the most critical factor for the onset of dementia. CAD, hyperlipidemia, and AF had no significant impact on the risk of dementia after adjusting for all other confounders. LUTS were significantly associated with a comparatively greater risk of subsequent dementia (AHR = 1.61, 95% CI 1.47–1.76,P<0.0001) compared to other vascular risk factors including cerebrovascular disease (AHR = 1.43, 95% CI 1.26–1.61, P<0.0001) (Table 3).Table 3
Cox proportional hazards regression analyses for the risk of dementia stratified by confounding factors.
Crude hazards (95% CI)
P
Adjusted hazards* (95% CI)
P
LUTS
No
1.00 (ref.)
1.00 (ref.)
Yes
1.61 (1.47–1.76)
<0.0001
1.61 (1.47–1.76)
<0.0001
Age (years)
50~60
1.00 (ref.)
1.00 (ref.)
60~70
3.69 (2.98–4.56)
<0.0001
3.65 (2.94–4.52)
<0.0001
70~80
9.11 (7.45–11.14)
<0.0001
9.02 (7.36–11.07)
<0.0001
≥80
12.71 (10.23–15.80)
<0.0001
12.40 (9.94–15.44)
<0.0001
Gender
Male
1.00 (ref.)
1.00 (ref.)
Female
0.97 (0.90–1.06)
0.5509
1.30 (1.19–1.41)
<0.0001
Hypertension
No
1.00 (ref.)
1.00 (ref.)
Yes
1.59 (1.46–1.73)
<0.0001
1.12 (1.02–1.23)
0.0136
Diabetes
No
1.00 (ref.)
1.00 (ref.)
Yes
1.38 (1.24–1.54)
<0.0001
1.13 (1.01–1.27)
0.0286
Coronary artery disease
No
1.00 (ref.)
1.00 (ref.)
Yes
1.52 (1.36–1.70)
<0.0001
1.03 (0.92–1.16)
0.5793
Hyperlipidemia
No
1.00 (ref.)
1.00 (ref.)
Yes
1.12 (0.97–1.31)
0.1304
1.01 (0.86–1.18)
0.9046
Cerebrovascular disease
No
1.00 (ref.)
1.00 (ref.)
Yes
2.10 (1.87–2.36)
<0.0001
1.43 (1.26–1.61)
<0.0001
Atrial fibrillation
No
1.00 (ref.)
1.00 (ref.)
Yes
1.81 (1.35–2.44)
<0.0001
1.07 (0.80–1.45)
0.6457
*The model was adjusted by the variables which were listed above.
CI: confidence interval; LUTS: lower urinary tract symptoms; ref.: reference.


## 4. Discussion

In this nationwide population-based cohort study using data from Taiwan’s NHIRD, LUTS were identified as a risk factor of dementia after adjusting for multiple comorbidities. It is noteworthy that the AHR of dementia in LUTS[+] patients (1.61) was significantly higher than that of cerebrovascular disease in LUTS[+] patients (1.43). To our knowledge, the finding that LUTS might be a prodrome of cognitive deficiency or a risk factor of dementia has seldom been mentioned in other research. Using a large nationwide population-based sample might give the finding persuasive statistical power.The mechanism of micturition involves the cerebral cortex, the pons, the spinal cord, the autonomic and somatic nervous systems, the sensory system of the lower urinary tract, and the anatomical structure of the lower urinary tract itself [21]. Therefore, LUTS would occur if there was any error in the mechanism of micturition. Degeneration of global lobes, white matter lesions, and microvascular brain disease have been associated with LUTS [11, 12, 22]. Sakakibara et al. demonstrated that, in people with varying degrees of leukoaraiosis, LUTS might precede occurrence of cognitive disorder [23]. They also concluded that small vessel disease of the brain can cause incontinence, which maybe the initial manifestation of dementia in some patients [24]. It appeared that LUTS might be the early clinical symptom of the observed white matter changes and microvascular brain disease.LUTS were associated with a higher vascular risk in other research [16, 25]. Lin et al. found that LUTS remained a significant predictor for acute cardiovascular events, mainly stroke [15]. Kotsoris et al. reported that urinary disturbances predated overt multi-infarct dementia by more than 5 years in up to 50% of patients [26]. This implied that LUTS may cause the decline of global brain function by increasing the rate of vascular injury. We found, however, a significantly higher risk of dementia in the LUTS[+] group after adjustment for confounding effects by cerebrovascular disease and other cardiovascular risk factors. Thus, the role of LUTS in the pathogenesis of dementia might be complex.Disorders of autonomic nervous system are also associated with LUTS [27, 28]. The most common example is diabetes, which causes LUTS by autonomic neuropathy and is also involved in the decline of cognitive function [29]. The central control for the autonomic system includes the insular cortex, amygdala, hypothalamus, periaqueductal gray, parabrachial nucleus, nucleus of the solitary tract, and medulla [30]. Several components of the central autonomic networks are affected and characterized by the presence of intracellular inclusions containing α-synuclein in neurodegenerative disorders, such as multiple system atrophy and Lewy body disorders [30, 31]. Braak proposed that an immunocytochemical analysis might indicate preclinical neuropathological degeneration of autonomic control in the insular cortex and the brainstem before the onset of obvious cognitive dysfunction in individuals with Alzheimer’s disease [32]. Collins et al. also reported that participants with mild cognitive impairment were about 6 times more likely than controls without cognitive impairment to have autonomic dysfunction [33]. LUTS, which result from autonomic dysfunction, may therefore be indicative of early stage of cognition decline and consequent dementia.Pharmacological treatment for LUTS involves using antimuscarinic or anticholinergic agents, which have adverse effects on cognitive function [34, 35]. The change in cognitive function is caused by the drugs’ ability to cross the blood-brain barrier and block muscarinic and cholinergic receptors in the central nervous system (CNS). Results from electroencephalographic data suggest that oxybutynin has a greater effect on central nervous system than trospium and tolterodine [36]. The elderly patients who take these antimuscarinic and anticholinergic agents as therapy for LUTS may have a higher risk of dementia.LUTS negatively affect quality of life and cause depression, anxiety, and social withdrawal [7, 8, 37]. Thor et al. concluded that the monoamine neurotransmitters serotonin (5-HT) and noradrenaline (NA) are involved in the physiological processes of LUTS and major depressive disorder [37]. Mild worry symptoms and anxiety can predict declines in learning and memory [38, 39]. Geda et al. also suggested that agitation, anxiety, irritability, and depression increased the risk for later cognitive impairment [40]. For this reason, LUTS may increase the risk of cognitive dysfunction by causing neuropsychiatric disorders.The main strength of this cohort study is the large size of Taiwan’s nationwide NHIRD random sample from the general population. However, our study had some limitations. First, the lack of data from the population in low socioeconomic status without continuous health insurance coverage may lead to the under-ascertainment of dementia. However, the steady and high percentage of citizens coverage (>98% since 2002 and 99.51% in 2011) [41] by NHI made the underestimation much less marked. Second, we could neither classify the clinical severity or manifestations of LUTS and dementia nor demonstrate the linkage between subtypes of LUTS and dementia. Third, we lacked data about drugs and psychosocial connection which may have affected both LUTS and cognition. Thus, additional research is needed to identify the mechanism that led to the results in our study.In conclusion, LUTS increase the risk of dementia in the aging population. To prevent or reduce the predisposing factors of cognitive impairment, early screening and timely intervention, such as nonpharmacological therapy for the elderly patients with LUTS, should be considered. Additional investigations are necessary to evaluate the association of the clinical severity of disease, the connection between different types of LUTS and dementia, the effect of pharmacological therapy, and the psychosocial connection between LUTS and cognitive dysfunction.



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