| Literature DB >> 26098884 |
Jasmine Lim1, Nirmala Bhoo-Pathy2, Selvalingam Sothilingam1, Rohan Malek3, Murali Sundram4, Guan Hee Tan5, Badrulhisham Bahadzor5, Teng Aik Ong1, Keng Lim Ng6, Azad Hassan Abdul Razack1.
Abstract
OBJECTIVES: To determine the lower urinary tract symptoms (LUTS) profile and factors affecting its degree of severity including cardiovascular risk profile, age, ethnicity, education level and prostate volume in a multiethnic Asian setting.Entities:
Mesh:
Year: 2015 PMID: 26098884 PMCID: PMC4476577 DOI: 10.1371/journal.pone.0130820
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
The LUTS scores by age group and ethnicity.
| Age group (years) | Ethnicity | |||||||
|---|---|---|---|---|---|---|---|---|
| 40–49 | 50–59 | 60–69 | 70–79 | Malay | Chinese | Indian | Total | |
|
| ||||||||
| None | 6 | 27 | 17 | 3 | 22 | 19 | 12 | 53 |
| (0) | (8.3%) | (5.7%) | (4.5%) | (3.3%) | (6.0%) | (3.7%) | (8.3%) | (5.2%) |
| Mild | 28 | 244 | 161 | 29 | 144 | 246 | 72 | 462 |
| (0–7) | (38.9%) | (51.1%) | (42.1%) | (32.2%) | (39.2%) | (48.3%) | (49.7%) | (45.2%) |
| Moderate | 30 | 162 | 156 | 42 | 152 | 192 | 46 | 390 |
| (8–19) | (41.7%) | (34.0%) | (40.8%) | (46.7%) | (41.4%) | (37.7%) | (31.7%) | (38.2%) |
| Severe | 8 | 44 | 48 | 16 | 49 | 52 | 15 | 116 |
| (20–35) | (11.1%) | (9.2%) | (12.6%) | (17.8%) | (13.4%) | (10.2%) | (10.3%) | (11.4%) |
|
| 72 | 477 | 382 | 90 | 367 | 509 | 145 | 1021 |
| (7.1%) | (46.7%) | (37.4%) | (8.8%) | (35.9%) | (49.9%) | (14.2%) | (100%) | |
|
| ||||||||
| Frequency | 32 | 188 | 150 | 40 | 155 | 201 | 54 | 410 |
| (44.4%) | (39.4%) | (39.3%) | (44.4%) | (42.2%) | (39.5%) | (37.2%) | (40.2%) | |
| Urgency | 19 | 107 | 113 | 37 | 109 | 122 | 45 | 276 |
| (26.4%) | (22.4%) | (29.6%) | (41.1%) | (29.7%) | (24.0%) | (31.0%) | (27.0%) | |
| Nocturia | 27 | 181 | 197 | 60 | 170 | 231 | 64 | 465 |
| (37.5%) | (37.9%) | (51.6%) | (66.7%) | (46.3%) | (45.4%) | (44.1%) | (45.5%) | |
|
| ||||||||
| Intermittency | 24 | 140 | 131 | 40 | 140 | 160 | 35 | 335 |
| (33.3%) | (29.4%) | (34.3%) | (44.4%) | (38.1%) | (31.4%) | (24.1%) | (32.8%) | |
| Weak stream | 29 | 161 | 152 | 45 | 152 | 189 | 46 | 387 |
| (40.3%) | (33.8%) | (39.8%) | (50%) | (41.4%) | (37.1%) | (31.7%) | (37.9%) | |
| Straining | 15 | 87 | 78 | 23 | 75 | 103 | 25 | 203 |
| (20.8%) | (18.2%) | (20.4%) | (25.6%) | (20.4%) | (20.2%) | (17.2%) | (19.9%) | |
|
| ||||||||
| Incomplete | 31 | 179 | 157 | 43 | 182 | 177 | 51 | 410 |
| (43.1%) | (37.5%) | (41.1%) | (47.8%) | (49.6%) | (34.8%) | (35.2%) | (40.2%) | |
† Nocturia was defined as having more than one episode per night.
^ Subjects reporting the respective conditions with more than 1 time in 5 (score > 1) were recorded as having the symptoms.
Fig 1Profile of storage, voiding and post micturition symptoms amongst various ethnicities.
Venn diagram showing the distribution of urological symptoms in Malay (M), Chinese (C) and Indian (I) participants.
Comparison of factors associated with LUTS.
| Frequency distribution | |||||||
|---|---|---|---|---|---|---|---|
| Mild LUTS (IPSS ≤ 7) | Moderate to severe LUTS (IPSS > 7) | ||||||
| Factors | No. | % | No. | % | OR | 95% CI |
|
|
| 515 | 50.4 | 506 | 49.6 | 1.04 | 1.02–1.05 |
|
| Median | 58 | 60 | |||||
|
| |||||||
| Malay | 166 | 32.2 | 201 | 39.7 | 1.00 | ||
| Chinese | 265 | 51.5 | 244 | 48.2 | 0.76 | 0.58–1.00 |
|
| Indian | 84 | 16.3 | 61 | 12.1 | 0.60 | 0.41–0.89 |
|
|
| |||||||
| Primary | 65 | 13.4 | 89 | 18.9 | 1.00 | ||
| Secondary | 253 | 52.3 | 227 | 48.2 | 0.66 | 0.45–0.95 |
|
| Tertiary | 166 | 34.3 | 155 | 32.9 | 0.68 | 0.46–1.01 | 0.053 |
| * | 31 | 35 | |||||
|
| |||||||
| No | 405 | 78.6 | 366 | 72.3 | 1.00 | ||
| Yes | 110 | 21.4 | 140 | 27.7 | 1.41 | 1.06–1.88 |
|
|
| |||||||
| No | 344 | 66.8 | 283 | 55.9 | 1.00 | ||
| Yes | 171 | 33.2 | 223 | 44.1 | 1.59 | 1.23–2.04 |
|
|
| |||||||
| No | 437 | 84.9 | 397 | 78.5 | 1.00 | ||
| Yes | 78 | 15.1 | 109 | 21.5 | 1.54 | 1.12–2.12 |
|
|
| 514 | 50.5 | 503 | 49.5 | 0.99 | 0.97–1.00 | 0.137 |
| Median | 166 | 165 | |||||
| * | 1 | 3 | |||||
|
| 514 | 50.5 | 503 | 49.5 | 1.00 | 0.99–1.01 | 0.953 |
| Median | 70 | 69 | |||||
| * | 1 | 3 | |||||
|
| |||||||
| < 30 | 264 | 69.7 | 229 | 59.5 | 1.00 | ||
| ≥ 30 | 115 | 30.3 | 156 | 40.5 | 1.56 | 1.16–2.11 |
|
| * | 136 | 121 | |||||
Abbreviations: CI, confidence interval; IPSS, international prostate symptom score; LUTS, lower urinary tract voding symptoms; OR, odds ratio.
Multivariable analysis of factors associated with LUTS.
| Factors | Regression coefficient | OR | 95% CI |
|
|---|---|---|---|---|
|
| 0.029 | 1.03 | 1.01–1.05 |
|
|
| ||||
| Malay | Baseline | |||
| Chinese | -0.364 | 0.70 | 0.52–0.93 |
|
| Indian | -0.578 | 0.56 | 0.37–0.84 |
|
|
| ||||
| Primary | Baseline | |||
| Secondary | -0.333 | 0.72 | 0.49–1.05 | 0.089 |
| Tertiary | -0.259 | 0.77 | 0.51–1.16 | 0.213 |
|
| ||||
| No | Baseline | |||
| Yes | 0.191 | 1.21 | 0.88–1.66 | 0.240 |
|
| ||||
| No | Baseline | |||
| Yes | 0.304 | 1.36 | 1.02–1.80 |
|
|
| ||||
| No | Baseline | |||
| Yes | 0.340 | 1.41 | 1.00–1.97 |
|
|
| -0.005 | 1.00 | 0.98–1.01 | 0.552 |
|
| -0.004 | 1.00 | 0.99–1.01 | 0.492 |
|
| ||||
| < 30 | Baseline | |||
| ≥ 30 | 0.374 | 1.45 | 1.06–1.99 |
|
*Multivariate model inlcudes age, ethnicity, education level, history of diabetes, hypertension & hypercholesterolemia as well as prostate volume.
† Age (year), height (m) and weight (kg) considered as continuous variable within the multivariate model.
Abbreviations: CI, confidence interval; OR, odds ratio.
Multivariate analysis of factors associated with post micturition, voiding and storage symptoms.
| Post micturition score > 1 | Voiding score > 3 | Storage score > 3 | |
|---|---|---|---|
| Factors | OR (95% CI); | ||
|
| 1.01 (0.99–1.03); 0.318 | 1.02 (1.01–1.04); | 1.04 (1.02–1.05); |
|
| |||
| Malay | 1.00 | 1.00 | 1.00 |
| Chinese | 0.49 (0.36–0.66); | 0.89 (0.66–1.20); 0.440 | 0.85 (0.64–1.14); 0.289 |
| Indian | 0.53 (0.35–0.80); | 0.72 (0.47–1.10); 0.126 | 0.74 (0.49–1.11); 0.141 |
|
| |||
| Primary | 1.00 | 1.00 | 1.00 |
| Secondary | 0.62 (0.43–0.91); | 0.70 (0.48–1.03); 0.071 | 0.83 (0.57–1.23); 0.345 |
| Tertiary | 0.57 (0.38–0.86); | 0.62 (0.41–0.93); | 0.86 (0.57–1.29); 0.471 |
|
| |||
| No | 1.00 | 1.00 | 1.00 |
| Yes | 1.16 (0.84–1.59); 0.374 | 1.26 (0.92–1.74); 0.157 | 1.02 (0.74–1.40); 0.895 |
|
| |||
| No | 1.00 | 1.00 | 1.00 |
| Yes | 1.36 (1.02–1.81); | 1.00 (0.75–1.33); 0.981 | 1.51 (1.14–2.00); |
|
| |||
| No | 1.00 | 1.00 | 1.00 |
| Yes | 0.90 (0.64–1.27); 0.559 | 1.37 (0.98–1.91); 0.071 | 1.55 (1.11–2.17); |
|
| 0.99 (0.97–1.01); 0.292 | 1.00 (0.98–1.01); 0.584 | 1.00 (0.98–1.02); 0.969 |
|
| 0.99 (0.98–1.00); 0.106 | 1.00 (0.98–1.01); 0.455 | 1.00 (0.99–1.01); 0.791 |
|
| |||
| < 30 | 1.00 | 1.00 | 1.00 |
| ≥ 30 | 1.01 (0.74–1.39); 0.947 | 1.39 (1.01–1.90); | 1.30 (0.95–1.78); 0.096 |
† Age (year), height (m) and weight (kg) considered as continuous variables within the multivariate model.
Abbreviations: CI, confidence interval; OR, odds ratio.