Relationship between lower urinary tract symptoms and frailty.

OBJECTIVE: To elucidate the relationship between frailty and lower urinary tract symptoms (LUTS). METHODS: We longitudinally evaluated the temporal changes and the relationships between frailty and LUTS in 247 community-dwelling adults (45 years or older) at baseline and at a 5-year follow-up. We used the Fried phenotype (phenotype-based frailty), 5-item modified frailty index (5i-mFI; comorbidity-based frailty), and frailty discriminant score (comprehensive frailty assessment) to evaluate frailty. LUTS were evaluated using the international prostate symptom score (IPSS) and overactive bladder symptom score (OABSS). RESULTS: We analyzed 247 participants with a median age of 60 years. The median IPSS and OABSS were significantly increased over the 5 years. The proportion of frail individuals did not increase significantly over the 5 years. Of the three frailty assessment tools, the 5i-mFI score significantly increased between 2014 and 2019. Multiple linear regression analyses showed that the 5i-mFI score was significantly associated with the severity of LUTS in 2014 to 5i-mFI in 2019 but not with 5i-mFI in 2014 to the severity of LUTS in 2019. CONCLUSION: The effect of LUTS on frailty might be greater than the effect of frailty on LUTS. Further large-scale studies are needed to elucidate the relationship between LUTS and frailty.

The impact of microalbuminuria on overactive bladders: Results from a community-based four-year longitudinal study in Japan.

AIMS: To investigate the longitudinal association of microalbuminuria with overactive bladder (OAB). METHODS: This longitudinal study investigated 561 participants of the Iwaki Health Promotion Project in both 2015 and 2019 in Japan. Microalbuminuria and OAB symptoms were assessed using the urine albuminuria creatinine ratio (ACR) and the overactive bladder symptom score (OABSS), respectively. Urine ACR was defined as high if ≥9.3 mg/gCr. Differences in OABSS between 2015 and 2019 were evaluated as ∆OABSS. Participants were divided into two groups according to ΔOABSS: high (ΔOABSS > 1) and control (≤1). We used baseline data acquired in 2015, such as urine ACR, the Pittsburgh Sleep Quality Index (PSQI), and arterial stiffness expressed by brachial-ankle pulse wave velocity (baPWV). Predictive factors of a ΔOABSS > 1 were assessed by multivariable logistic regression analysis. RESULTS: This study included 332 women and 229 men. Of those, 86 (34 males and 52 females) were classified into the ΔOABSS > 1 group. There were significant group differences in age, renal function, and hemoglobin A1c. Participants in the ΔOABSS > 1 had a higher prevalence of PSQI > 5, baPWV ≥ 1400 seconds/cm, and urine ACR ≥ 9.3 mg/gCr (49% vs 20%, P = .001) than those in the control group. Multivariable analysis revealed that PSQI > 5 (odds ratio [OR], 2.57; 95% confidence interval [CI], 1.15-4.60; P = .002) and urine ACR ≥ 9.3 mg/gCr (OR, 1.93; 95% CI, 1.15-3.23; P = .013) were independent risk factors for ΔOABSS > 1. CONCLUSIONS: Microalbuminuria may be an independent risk indicator for OAB symptom exacerbation.

The influence of gut microbiome on progression of overactive bladder symptoms: a community-based 3-year longitudinal study in Aomori, Japan.

PURPOSE: To assess the influence of gut microbiome on overactive bladder (OAB) symptoms progression. METHODS: This was a 3-year longitudinal study, Hirosaki in Japan. We assessed OAB symptoms and reviewed the medication records of each subject in 2016. We extracted 16S rRNA genes from fecal samples and analyzed gut microbiomes via next-generation sequencing. We evaluated the changes in urinary urgency (UU) and/or urgent urinary incontinence (UUI) from 2016 to 2019. We defined UU/UUI-progression as exacerbation of UU and/or UUI. We compared the clinical backgrounds and microbiota structure between UU/UUI-progression subjects and non-progression (controls). We assessed the impact of gut microbiome on the UU/UUI-progression via multivariate logistic regression analyses. RESULTS: Of 669 subjects, 126 were UU/UUI-progression subjects. These subjects had a higher age and prevalence of proton pump inhibitor (PPI) use (14% vs. 5.4%, P = 0.003), irritable bowel syndrome, sleep disturbance, and metabolic syndrome than those without. We found the different microbiota structures between subjects with UU/UUI-progression and those without. A higher relative abundance of genus Streptococcus (harmful bacterial genus for human health) appeared in UU/UUI-progression subjects (3.8% vs. 2.3%, P < 0.001). Multivariate analysis revealed that age ≥ 65 years, current smoking, sleep disturbance, metabolic syndrome, and genus Streptococcus (Odds ratio: 1.05, P = 0.029) were independent risk factors for UU/UUI-progression. PPI use turned to be a significant risk factor on a multivariate analysis without including genus Streptococcus. CONCLUSIONS: Gut microbiome might be associated with a risk for OAB symptoms progression. PPI use might cause gut dysbiosis and increase this risk.