The association of depression with lower urinary tract symptoms: data from the National Health and Nutrition Examination Survey, 2005-2008

Sleep-related disorders and lower urinary tract symptoms in middle-aged and elderly males: a cross-sectional study based on NHANES 2005-2008

PURPOSE

Lower urinary tract symptoms (LUTS) and sleep disorders both commonly affect people's quality of life. This study aimed to explore the associations between sleep-related disorders and LUTS through epidemiological investigations.

METHODS

Data were generated from the cross-sectional study called the National Health and Nutrition Examination Survey (NHANES) 2005-2008. Multivariable logistic regression models were conducted to investigate the relationships between sleep-related disorders and LUTS.

RESULTS

A total of 2516 men were included in the study. Participants sleeping ≤ 6 h/night had higher odds ratios of LUTS (OR: 1.38; 95% CI 1.08, 1.77), daytime LUTS (OR: 1.26; 95% CI 1.03, 1.54), and nocturia (OR: 1.23; 95% CI 1.02, 1.49) than those sleeping 7-8 h/night. Participants who required > 30 min to fall asleep had an approximately 39% higher odds ratios of nocturia than those who fell asleep within 6 to 30 min (OR: 1.39; 95% CI 1.12, 1.73). Sleep problems were positively related to LUTS (OR: 1.42; 95% CI 1.11, 1.82), daytime LUTS (OR: 1.32; 95% CI 1.08, 1.61), urinary hesitancy (OR: 1.75; 95% CI 1.31, 2.34), and nocturia (OR: 1.52; 95% CI 1.26, 1.84). Obstructive sleep apnea (OSA) symptoms were positively associated with urinary incontinence (OR: 1.52; 95% CI 1.12, 2.08). In addition, participants with daytime sleepiness were at higher prevalence of LUTS (OR: 1.66; 95% CI 1.29, 2.15), daytime LUTS (OR: 1.44; 95% CI 1.16, 1.78), urinary hesitancy (OR: 1.95; 95% CI 1.45, 2.63), and nocturia (OR: 1.66; 95% CI 1.35, 2.05).

CONCLUSION

The findings suggested that sleep-related disorders were associated with LUTS, daytime LUTS, urinary hesitancy, incomplete emptying, urinary incontinence, and nocturia in middle-aged and elderly males.

Lower Urinary Tract Symptoms in Depression: A Review

Lower Urinary Tract Symptoms (LUTS) are frequently present in the general population as patients age with approximately a third of individuals experiencing LUTS during their lifetime. LUTS can be further defined as having any of the following symptoms: urinary hesitancy, straining, nocturia, increased urination frequency, and dysuria. LUTS has the potential for patients to contribute their symptoms to what can normally occur as we age. This can lead to a decrease in patients seeking care and could negatively impact patients' health-related quality of life (HRQL). In conjunction with LUTS, we obtained from our analysis that LUTS and depression are closely related and worsening depressive symptoms may increase the severity of LUTS. We also discerned three categories of factors that can yield major depression namely adversity, internalizing, and externalizing factors. Within these categories, trauma, social support, genetic factors, and minimal education appeared to increase the risk of depression in patients. With the recent increase in mental health awareness and more access to mental health care amid the COVID-19 Pandemic, further screening, and collaboration between providers to treat both urological and psychiatric symptoms could improve patient outcomes. It is important for providers to have an increased understanding of the mental and physical impact both LUTS and depression can have on patients' wellbeing. This has the potential to help patients be more open about their symptoms with the aim of better addressing LUTS and depression to positively impact their HRQL.

Clinical assessment of lower urinary tract symptoms in adults

Lower urinary tract symptoms (LUTS) result from conditions and diseases that affect the bladder and the urethra, and can occur in men and women of all ages. LUTS can be debilitating and affect a person's quality of life significantly. This article describes the definitions and classification of various LUTS, explains the aspects of an initial LUTS assessment and outlines the validated tools that can be used to support this process, including questionnaires and bladder diaries. It also provides information about the contributing factors associated with LUTS and the effects of these symptoms on patients' quality of life.

The bidirectional association between depression and lower urinary tract symptoms (LUTS) in men: A systematic review and meta-analysis of observational studies

BACKGROUND

Recent evidence from observational studies suggests a bidirectional association between lower urinary tract symptoms (LUTS) and depression in men. We sought to systematically quantify the effect of the presence of LUTS on depression symptoms, compared to those without LUTS, in adult males, and vice versa.

METHODS

Electronic databases (MEDLINE, PsycINFO, SCOPUS, Embase) were examined for articles in English before March 2021. Observational studies of men aged over 18 years; reporting an association between LUTS and depression; including a validated scale for LUTS and depression symptoms were eligible for study inclusion.

RESULTS

Seventeen studies out of 1787 records identified 163 466 men with reported depression symptoms by LUTS status, while 10 studies reported 72 363 men with LUTS by depression symptoms. Pooled estimates showed a strong effect of LUTS presence on depression risk (OR: 2.89, 95% CI: 2.50-3.33), with a high degree of heterogeneity among the examined studies (I²  = 83%; τ²  = 0,06; p < 0.001). Subgroup analyses demonstrated differences by study region (Q value:13.7, df:4, p = 0.003), setting (7.8(2), p = 0.020), design (7.2(1), p = 0.003), quality (6.2(1), p = 0.013), and LUTS measure (40.9(3), p < 0.001). Pooled estimates also showed a strong effect of depression presence on LUTS risk in men (OR: 3.13, 95% CI: 2.72-3.60), with only moderate heterogeneity between studies (I²  = 58%; τ²  = 0,02; p = 0.001).

CONCLUSIONS

The strong relationship observed between LUTS and depression implies shared risk factors that cannot be solely attributed to the prostate. This has immediate implications for future studies and the assessment and management of patients with either condition.

Machine Learning for Urodynamic Detection of Detrusor Overactivity

OBJECTIVE

To develop a machine learning algorithm that identifies detrusor overactivity (DO) in Urodynamic Studies (UDS) in the spina bifida population. UDS plays a key role in assessment of neurogenic bladder in patients with spina bifida. Due to significant variability in individual interpretations of UDS data, there is a need to standardize UDS interpretation.

MATERIALS AND METHODS

Patients who underwent UDS at a single pediatric urology clinic between May 2012 and September 2020 were included. UDS files were analyzed in both time and frequency domains, varying inclusion of vesical, abdominal, and detrusor pressure channels. A machine learning pipeline was constructed using data windowing, dimensionality reduction, and support vector machines. Models were designed to detect clinician identified detrusor overactivity.

RESULTS

Data were extracted from 805 UDS testing files from 546 unique patients. The generated models achieved good performance metrics in detecting DO agreement with the clinician, in both time- and frequency-based approaches. Incorporation of multiple channels and data windowing improved performance. The time-based model with all 3 channels had the highest area under the curve (AUC) (91.9 ± 1.3%; sensitivity: 84.2 ± 3.8%; specificity: 86.4 ± 1.3%). The 3-channel frequency-based model had the highest specificity (AUC: 90.5 ± 1.9%; sensitivity: 68.3 ± 5.3%; specificity: 92.9 ± 1.1%).

CONCLUSION

We developed a promising proof-of-concept machine learning pipeline that identifies DO in UDS. Machine-learning-based predictive modeling algorithms may be employed to standardize UDS interpretation and could potentially augment shared decision-making and improve patient care.

Association between Lower Urinary Tract Symptoms and Sleep Quality of Patients with Depression

Background and Objectives: In the general population, sleep disorders are associated with lower urinary tract symptoms (LUTS) including urinary incontinence (UI). This connection has not been explored fully in specific patient groups. Thus, we investigated the association between sleep quality and LUTS for patients with depression. Materials and Methods: This study was prospective and cross-sectional. We analyzed questionnaire data on depression, sleep quality, LUTS, and UI from depressed patients treated in our department of adult psychiatry. We used the Hamilton Rating Scale for Depression, the Holland Sleep Disorders Questionnaire, the International Prostate Symptom Score, and the International Consultation on Incontinence Questionnaire-Short Form. Results: In total, 102 patients treated for depression were enrolled. We found a statistically significant correlation between depression severity and sleep quality. A significant correlation was also investigated for sleep quality and LUTS severity. The group of depressed patients with moderate or severe LUTS had greater sleep problems compared with patients who had mild urinary tract symptoms or no symptoms. With regression analysis, we further demonstrated that the relationships between LUTS and sleep quality as well as UI and sleep quality in depressed patients are independent from age and sex. Conclusions: In the cohort of patients treated for depression, sleep quality correlated with LUTS including UI. We suggest that the negative effect of LUTS and UI on sleep quality that we observed should lead to the re-evaluation of current recommendations for diagnosis and treatment of sleep problems among patients with depression.