| Literature DB >> 21892656 |
Richard-Olivier Fourcade1, François Lacoin, Morgan Rouprêt, Alain Slama, Camille Le Fur, Emilie Michel, Axel Sitbon, François-Emery Cotté.
Abstract
OBJECTIVE: This study's aim was to describe and evaluate outcomes of medical strategies used for lower urinary tract symptoms (LUTS) treatment in general practice and to assess impact of LUTS on patients' general health-related quality of life (HRQoL).Entities:
Mesh:
Substances:
Year: 2011 PMID: 21892656 PMCID: PMC3360843 DOI: 10.1007/s00345-011-0756-2
Source DB: PubMed Journal: World J Urol ISSN: 0724-4983 Impact factor: 4.226
Patients’ characteristics
| Overall patients | [50–60] years | [61–70] years | [71–80] years | >80 years | |
|---|---|---|---|---|---|
|
| |||||
| General practitioner | 959 (87.6%) | 108 (92.3%) | 326 (88.1%) | 358 (86.3%) | 165 (86.4%) |
| Urologist | 136 (12.4%) | 9 (7.7%) | 44 (11.9%) | 57 (13.7%) | 26 (13.6%) |
|
| |||||
| Questioning | 886 (80.7%) | 95 (81.2%) | 295 (79.5%) | 335 (80.3%) | 160 (83.8%) |
| Digital rectal examination | 722 (65.8%) | 68 (58.1%) | 237 (63.9%) | 292 (70.0%) | 124 (64.9%) |
| PSA | 635 (57.8%) | 71 (60.7%) | 219 (59.0%) | 242 (58.0%) | 101 (52.9%) |
| Ultrasonography | 614 (55.9%) | 71 (60.7%) | 212 (57.1%) | 228 (54.7%) | 101 (52.9%) |
| Creatininemy | 69 (6.3%) | 8 (6.8%) | 29 (7.8%) | 26 (6.2%) | 5 (2.6%) |
| Urinanalysis | 56 (5.1%) | 8 (6.8%) | 22 (5.9%) | 16 (3.8%) | 9 (4.7%) |
| Symptom score | 40 (3.6%) | 4 (3.4%) | 15 (4.0%) | 15 (3.6%) | 6 (3.1%) |
| Dipstick urine analysis | 11 (1.0%) | 2 (1.7%) | 3 (0.8%) | 5 (1.2%) | – |
|
| |||||
| Mean in years ± SD | 6.2 ± 5.1 | 3.3 ± 2.8 | 5.0 ± 3.7 | 6.8 ± 5.3 | 9.0 ± 6.4 |
| ≤5 years | 582 (53.0%) | 92 (78.6%) | 236 (63.6%) | 193 (46.3%) | 59 (30.9%) |
| >5 years | 516 (47.0%) | 25 (21.4%) | 135 (36.4%) | 224 (53.7%) | 132 (69.1%) |
|
| |||||
| Acute urinary retention | 48 (4.4%) | 4 (3.4%) | 16 (4.3% | 12 (2.9%) | 15 (7.9%) |
| Hypertension | 676 (61.6%) | 58 (49.6%) | 211 (56.9%) | 278 (66.7%) | 127 (66.5%) |
| Type-II diabetes | 184 (16.8%) | 21 (17.9%) | 59 (15.9%) | 76 (18.2%) | 28 (14.7%) |
| Dyslipidemia | 489 (44.5%) | 49 (41.9%) | 163 (43.9%) | 200 (48.0%) | 76 (39.8%) |
|
| |||||
| Mean in Kg/m2 ± SD | 27.0 ± 3.9 | 27.2 ± 3.9 | 27.2 ± 4.0 | 27.1 ± 3.9 | 26.4 ± 3.5 |
| Median | 26.5 | 26.7 | 26.5 | 26.6 | 26.3 |
|
| |||||
| Mean duration in years ± SD | 2.2 ± 2.4 | 1.7 ± 2.1 | 2.0 ± 2.2 | 2.0 ± 2.2 | 2.7 ± 2.8 |
| Median | 1.6 | 0.9 | 1.4 | 1.8 | 2.1 |
|
| |||||
| Monotherapies | 908 (82.7%) | 96 (82.1%) | 310 (83.6%) | 348 (83.5%) | 152 (79.6%) |
| Alpha-blocker | 528 (58.1%) | 62 (64.6%) | 177 (57.1%) | 223 (64.1%) | 65 (42.8%) |
| Plant extract | 242 (26.7%) | 26 (27.1%) | 94 (30.3%) | 78 (22.4%) | 43 (28.3%) |
| 5-alpha-reductase inhibitor | 138 (15.2%) | 8 (8.3%) | 39 (12.6%) | 47 (13.5%) | 44 (28.9%) |
| Combinations | 190 (17.3%) | 21 (17.9%) | 61 (16.4%) | 69 (16.5%) | 39 (20.4%) |
| Alpha-blocker + plant extract | 94 (49.7%) | 11 (52.4%) | 27 (44.3%) | 39 (56.5%) | 17 (44.7%) |
| Alpha-blocker + 5-alpha-reductase inhibitor | 84 (44.4%) | 8 (38.1%) | 32 (52.5%) | 24 (34.8%) | 20 (52.6%) |
| 5-alpha-reductase inhibitor + plant extract | 11 (5.8%) | 2 (9.5%) | 2 (3.3%) | 6 (8.7%) | 1 (2.6%) |
* Including two patients for whom data on age were missing
Fig. 1Outcomes according to treatment history
Fig. 2EQ-5D results by dimension and according to IPSS severity classes: mild (1–7), moderate (8–19) and severe (20–35)
Variables significantly associated with general quality of life (EQ-5D utility index scores): results of three multivariate linear regressions
| Dependent variable: utility* | Model 1 | Model 2 | Model 3 | |||
|---|---|---|---|---|---|---|
| Predicting variables | Coefficient estimation† | IC 95% | Coefficient estimation† | IC 95% | Coefficient estimation† | IC 95% |
| Intercept | 1.096 | [0.942; 1.250] | 1.349 | [1.227; 1.470] | 1.315 | [1.195; 1.434] |
| IPSS-score | −0.009 | [−0.012; −0.007] | _ | _ | _ | _ |
| LUTS severity | ||||||
| Moderate symptoms | _ | _ | −0.096 | [−0.127; −0.065] | _ | _ |
| Severe symptoms | _ | _ | −0.159 | [− 0.210; −0.107] | _ | _ |
| LUTS treatment unsatisafactory outcome | _ | _ | _ | _ | −0.091 | [− 0.120; −0.063] |
| Others significant variables¶ | ||||||
| Age | −0.006 | [−0.007; −0.004] | −0.006 | [−0.007; −0.004] | −0.006 | [−0.007; −0.004] |
| Neuropsychiatric disorders | −0.097 | [−0.139; −0.055] | −0.097 | [−0.139; −0.054] | −0.093 | [−0.135; −0.052] |
| Cardiovascular risk factors | −0.035 | [−0.067; −0.003] | −0.032 | [−0.064; −0.001] | −0.038 | [−0.069; −0.006] |
| Joint diseases | NS | NS | −0.036 | [−0.072; −0.001] | −0.037 | [−0.072; −0.003] |
* Utility reflects preference-based health-related quality of life derived from standardized instruments (i.e., EQ-5D) and which values range, by convention, from 1.0 (perfect health) to 0.0 (death)
† Coefficients represent changes in utility significantly associated with the following health conditions: presenting one additional unit in IPSS-score (Model 1), moderate or severe symptoms compared with mild symptoms (Model 2) and at least one unsatisfactory outcome compared with none (Model 3)
¶ Other variables with a P value less than 0.25 in univariate analyses but not retained in final multivariate analyses were pulmonary diseases, gastro-intestinal disorders, renal insufficiency, back pain and education
NS not significant