Publications by authors named "Victor P Andreev"

Aims: The goal of this study is to better understand the mechanisms and phenotypes of urinary urgency through the analysis of voiding patterns of clinical patients recorded in their bladder diaries.

Methods: A recently introduced, powerful dynamic analysis approach was used to analyze bladder diaries of a heterogeneous cohort of 227 patients treated in a single clinical practice. Individual voiding patterns were examined by performing intra-subject correlation analyzes of bladder diary variables and creating multivariable linear regression models.

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Aims: Men with lower urinary tract symptoms (LUTS) represent a heterogeneous group, and treatment decisions are often based on severity of symptoms and physical examination findings. Identification of clinically meaningful subtypes could allow for more personalized care. This study advances phenotyping efforts from the Symptoms of Lower Urinary Tract Dysfunction Research Network (LURN) by adding data domains to previous phenotyping using urologic symptoms alone.

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Article Synopsis
  • - The Symptoms of Lower Urinary Tract Dysfunction Research Network (LURN) is starting a new study (LURN II) to investigate urinary urgency and incontinence by comparing cases and controls.
  • - The study aims to improve the understanding of these difficult-to-treat symptoms by enhancing the phenotyping process.
  • - The paper will discuss the reasons for this new research initiative and identify existing knowledge gaps related to the treatment of lower urinary tract symptoms, particularly urinary urgency.
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The goal of this study was to develop the novel analytical approach and to perform an in-depth dynamic analysis of individual bladder diaries to inform which behavioral modifications would best reduce lower urinary tract symptoms, such as frequency and urgency. Three-day bladder diaries containing data on timing, volumes, and types of fluid intake, as well as timing, volumes, and bladder sensation at voids were analyzed for 197 participants with lower urinary tract symptoms. A novel dynamic analytic approach to bladder diary time series data was proposed and developed, including intra-subject correlations between time-varying variables: rates of intake, bladder filling rate, and urge growth rate.

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  • Overactive bladder (OAB) might be linked to issues in brain circuits, and a study used functional MRI to explore how OAB participants experience urinary urgency compared to controls when their bladder is filling.
  • Participants underwent MRI scans after drinking water while their urgency levels were measured; results showed two patterns: one group that did not respond to bladder filling and another group from OAB who had a strong response.
  • The study found that the OAB participants who had higher urgency also exhibited different brain connectivity patterns, particularly between sensorimotor areas and prefrontal regions, indicating distinct neurophysiological characteristics related to their urinary symptoms.
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The goal of this study was to perform an in-depth dynamic analysis of individual bladder diaries to inform which behavioral modifications would best reduce lower urinary tract symptoms, such as frequency and urgency. Three-day bladder diaries containing data on timing, volumes, and types of fluid intake, as well as timing, volumes, and bladder sensation at voids were analyzed for 197 participants with lower urinary tract symptoms. A novel dynamic analytic approach to bladder diary time series data was proposed and developed, including intra-subject correlations between time-varying variables: rates of intake, bladder filling rate, and urge growth rate.

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Article Synopsis
  • - The study introduces a new method to categorize women with lower urinary tract symptoms (LUTS) by combining different types of data, such as personal health reports and bladder diaries, to better understand their diverse symptoms and causes.
  • - Using data from a multi-center study involving 545 women, the researchers employed advanced techniques to handle complex data sets, leading to the identification of five distinct symptom clusters, none defined by a single symptom alone.
  • - The findings reveal that each cluster shows unique patterns in symptoms and associated proteins, highlighting the clinical significance and potential for improved evaluation methods for LUTS, rather than conventional approaches.
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  • The study focused on analyzing changes in lower urinary tract symptoms (LUTS) over a year, using data from the LURN Observational Cohort study to identify symptom clusters and treatment impacts.
  • Results showed that a significant percentage of both men and women experienced symptom improvement over time, but the extent of improvement varied depending on the symptom cluster.
  • The findings suggest that different treatment responses among LUTS subtypes could inform future targeted treatments for patients, highlighting the need for personalized approaches.
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Biological, ecological, social, and technological systems are complex structures with multiple interacting parts, often represented by networks. Correlation matrices describing interdependency of the variables in such structures provide key information for comparison and classification of such systems. Classification based on correlation matrices could supplement or improve classification based on variable values, since the former reveals similarities in system structures, while the latter relies on the similarities in system states.

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Aims: The aims of this study were to assess the completeness of voiding diaries in a research context and to correlate diary data with patient-reported questionnaires.

Methods: Men and women enrolled in the Symptoms of Lower Urinary Tract Dysfunction Research Network (LURN) were given a 3-day voiding and fluid-intake diary to fill-out. Diaries were assessed for completeness and intake-output imbalances.

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Purpose: Conventional classification of patients with lower urinary tract symptoms into diagnostic categories based on a predefined symptom complex or predominant symptom appears inadequate. This is due to the frequent presentation of patients with multiple urinary symptoms which could not be perfectly categorized into traditional diagnostic groups. We used a novel clustering method to identify subtypes of male patients with lower urinary tract symptoms based on detailed multisymptom information.

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  • The study investigates factors affecting individuals who still experience bothersome lower urinary tract symptoms (LUTS) despite receiving treatment.
  • Conducted over a year with 756 participants from six care centers, the research utilized the AUA-SI tool to measure symptom bother levels at the beginning and after 12 months.
  • Results indicated that factors like race, diabetes, prior treatments, depression, and psychological stress significantly impacted symptom bother, suggesting these insights could improve clinical care for patients dealing with LUTS.
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Objective: To describe the distribution of post-void residual (PVR) volumes across patients with and without lower urinary tract symptoms (LUTS) and examine relationships between self-reported voiding symptoms, storage symptoms, and PVR.

Methods: PVR and demographic data were obtained from the Symptoms of Lower Urinary Tract Dysfunction Research Network (LURN) observational cohort study. Self-reported symptoms were collected using the American Urological Association Symptom Index and the LUTS Tool.

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Purpose: Lower urinary tract symptoms are prevalent and burdensome, yet methods to enhance diagnosis and appropriately guide therapies are lacking. We systematically reviewed the literature for human studies of biomarkers associated with lower urinary tract symptoms.

Materials And Methods: PubMed®, EMBASE® and Web of Science® were searched from inception to February 13, 2018.

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Objectives: To assess the feasibility of a novel proteomics approach to identify biomarkers associated with lower urinary tract symptoms (LUTS) within serum and urine, because many clinical factors contribute to LUTS in men and women. These factors confound clinicians' abilities to reliably evaluate and treat LUTS. Previous studies identified candidate LUTS biomarkers, but none are clinically utilized.

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Purpose: To improve the potential for finding clinically important subtypes of patients with lower urinary tract symptoms we developed the CASUS (Comprehensive Assessment of Self-reported Urinary Symptoms). We used it to present data on the experiences of lower urinary tract symptoms in treatment seeking women and men from a prospective observational cohort.

Materials And Methods: We created an initial list of lower urinary tract symptoms that were confirmed in 22 qualitative interviews with providers, and 88 qualitative interviews with care seeking and noncare seeking women and men with lower urinary tract symptoms.

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Importance: Most individuals who die of sudden cardiac death (SCD) display very advanced lesions of atherosclerosis in their coronary arteries. Thus, we sought to identify and characterize a putative subpopulation of young individuals exhibiting accelerated coronary artery atherosclerosis.

Objective: Our analysis of the Pathobiological Determinants of Atherosclerosis in Youth (PDAY) study-which examined 2651 individuals, obtaining quantitative measurements of traditional risk factors for coronary heart disease (CHD)-aimed to identify individuals with advanced coronary artery lesions, and to determine whether risk factors could account for such rapid disease progression, or not.

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High- and low-density lipoproteins (HDL and LDL) are attractive targets for biomarker discovery. However, ultracentrifugation (UC), the current methodology of choice for isolating HDL and LDL, is tedious, requires large sample volume, results in sample loss, and does not readily provide information on particle size. In this work, human plasma HDL and LDL are separated and collected using semi-preparative asymmetrical flow field-flow fractionation (SP-AF4) and UC.

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The Neuroimaging and Sensory Testing (NIST) Study of the Symptoms of Lower Urinary Tract Dysfunction Research Network (LURN) is a cross-sectional, case-control study designed to investigate whether disrupted brain connectivity and sensory processing are associated with abnormal lower urinary tract symptoms (LUTS) in patients with overactive bladder syndrome (OAB). The NIST Study tests the hypotheses that patients with urinary urgency will demonstrate: (1) abnormal functional and structural connectivity of brain regions involved in urinary sensation on magnetic resonance imaging (MRI), and (2) hypersensitivity to painful (pressure) and non-painful (auditory) sensory stimuli on quantitative sensory testing (QST), compared to controls. Male and female adults (18 years or older) who present at one of the six participating LURN clinical centers for clinical care of their LUTS, with symptoms of urinary urgency with or without urgency urinary incontinence, are eligible to participate.

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Purpose: Women with lower urinary tract symptoms are often diagnosed based on a predefined symptom complex or a predominant symptom. There are many limitations to this paradigm as often patients present with multiple urinary symptoms which do not perfectly fit the preestablished diagnoses. We used cluster analysis to identify novel, symptom based subtypes of women with lower urinary tract symptoms.

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Purpose: Male urinary incontinence is thought to be infrequent. We sought to describe the prevalence of urinary incontinence in a male treatment seeking cohort enrolled in the LURN (Symptoms of Lower Urinary Tract Dysfunction Research Network).

Materials And Methods: Study inclusion and exclusion criteria, including men with prostate cancer or neurogenic bladder, were previously reported.

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Purpose: We described and compared the frequency and type of lower urinary tract symptoms reported by men and women at the time that they were recruited from urology and urogynecology clinics into the Symptoms of Lower Urinary Tract Dysfunction Research Network multicenter, prospective, observational cohort study.

Materials And Methods: At 6 research sites treatment seeking men and women were enrolled who reported any lower urinary tract symptoms at a frequency more than rarely during the last month on the LUTS (Lower Urinary Tract Symptoms) Tool. At baseline the study participants underwent a standardized clinical evaluation and completed validated questionnaires.

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