30 research outputs found

    Safety and Tolerability of Fesoterodine in Older Adult Patients with Overactive Bladder

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    BackgroundOlder patients (> 65 yr) suffering from overactive bladder (OAB) are more likely to have functional impairment and comorbidity than those without OAB. This article reviews available published studies and discusses how fesoterodine might meet the specific needs of the older OAB patient.MethodsA comprehensive literature search was undertaken in order to evaluate fesoterodine safety in older OAB patients.ResultsFesoterodine offers flexible dosing, allowing the clinician to balance risk and benefits according to the symptoms and preferences of the patient. Its balanced affinity for M2 and M3 muscarinic receptors may lead to its benefit on OAB symptoms. Its active metabolite is a P-gp substrate that is actively transported from the central nervous system (CNS), potentially avoiding adverse CNS effects. Fesoterodine can be used in mild or moderate hepatic or renal insufficiency and no dose adjustment is routinely required. Fesoterodine's benefit has been demonstrated in multiple clinical trials in older and medically vulnerable patients. Fesoterodine was rated as "beneficial" in the LUTS-FORTA classification due to its efficiency and tolerability in older patients.ConclusionHere, the use of fesoterodine in older and vulnerable patients is summarized given the need to approach pharmacotherapy for OAB differently in older adults

    Safety and Tolerability of Fesoterodine in Older Adult Patients with Overactive Bladder

    No full text
    BACKGROUND: Older patients (> 65 yr) suffering from overactive bladder (OAB) are more likely to have functional impairment and comorbidity than those without OAB. This article reviews available published studies and discusses how fesoterodine might meet the specific needs of the older OAB patient. METHODS: A comprehensive literature search was undertaken in order to evaluate fesoterodine safety in older OAB patients. RESULTS: Fesoterodine offers flexible dosing, allowing the clinician to balance risk and benefits according to the symptoms and preferences of the patient. Its balanced affinity for M2 and M3 muscarinic receptors may lead to its benefit on OAB symptoms. Its active metabolite is a P-gp substrate that is actively transported from the central nervous system (CNS), potentially avoiding adverse CNS effects. Fesoterodine can be used in mild or moderate hepatic or renal insufficiency and no dose adjustment is routinely required. Fesoterodine’s benefit has been demonstrated in multiple clinical trials in older and medically vulnerable patients. Fesoterodine was rated as “beneficial” in the LUTS-FORTA classification due to its efficiency and tolerability in older patients. CONCLUSION: Here, the use of fesoterodine in older and vulnerable patients is summarized given the need to approach pharmacotherapy for OAB differently in older adults

    Real-life patient experiences of TTNS in the treatment of overactive bladder syndrome

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    INTRODUCTION AND OBJECTIVES: Overactive bladder syndrome (OAB) is defined as urinary urgency, with or without urgent urinary incontinence; it is often associated with urinary frequency and nocturia, in the absence of any pathological or metabolic conditions that may cause or mimic OAB. The aim of this study was to evaluate the long-term real-life adherence of transcutaneous tibial nerve stimulation (TTNS) in the treatment of OAB, patient satisfaction of the treatment, and reasons for quitting therapy. MATERIALS AND METHODS: In this single center study, all patients who had a positive effect on percutaneous tibial nerve stimulation (PTNS) and continued to receive home-based treatment with TTNS since 2012 were included for analysis. Patients were retrospectively asked to fill out a questionnaire regarding satisfaction, reasons for quitting, and additional or next line of therapy. RESULTS: We included 42 patients for this study, 81% of these patients were female (n = 34). The median age was 67 years (range 36–86). Most of the patients (64%, n = 27) were diagnosed with OAB wet. The median TTNS treatment persistence was 16 months (range 1–112 months). Reasons and percentages for stopping therapy were: 55% stopped treatment due to loss of effect, and 24% stopped because of preferring other type of neuromodulation. The mean satisfaction score (scale 1–10) in patients who continued TTNS was 6.2 (n = 9, SD 1.30) versus 5.4 (n = 29, SD 2.24) for patients who quit therapy. We did not find a statistically significant difference between the two groups (p = 0.174). CONCLUSION: TTNS, although effective in the short-term, is not effective in the long-term. In combination with a low satisfaction rate among patients, there is a need for improvement in terms of OAB treatment modalities

    Efficacy and Pharmacodynamics of Flucytosine Monotherapy in a Nonneutropenic Murine Model of Invasive Aspergillosis

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    The therapeutic efficacy of flucytosine (5FC) monotherapy and the pharmacodynamic index predictive of efficacy were evaluated in a nonneutropenic mouse model of acute invasive aspergillosis. Mice were infected intravenously with an Aspergillus fumigatus isolate (the median MICs of 5FC were 128 μg/ml under the standard condition, 0.5 μg/ml at pH 6.0, and 0.031 μg/ml at pH 5.0) 2 h prior to the start of therapy and were treated for 7 days with different 5FC dosing regimens. The total doses ranged from 50 to 800 mg/kg of body weight/day and were administered at 6-, 12-, and 24-h intervals. The efficacy was assessed by means of survival. The survival rates of the treatment groups ranged from 40 to 90%, while the survival rate of the control group was 20%. The efficacy found depended primarily on the total daily dose. However, the power of our sample size may have been too low to exclude an effect of dose fractionation. The pharmacodynamic index that most strongly correlated with the efficacy was the area under the serum concentration-time curve and MIC ratio (R(2) = 0.86). We conclude that 5FC monotherapy is efficacious in a murine Aspergillus fumigatus infection model

    Relationship between In Vitro Activities of Amphotericin B and Flucytosine and pH for Clinical Yeast and Mold Isolates

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    In this study, we investigated the pH dependency of the in vitro activities of amphotericin B (AMB) and flucytosine (5FC) against Candida spp., Cryptococcus neoformans, Aspergillus fumigatus, Rhizopus spp., and Scedosporium prolificans in RPMI 1640 buffered with citrate buffer (pH 4.0, 5.0, 5.4, and 6.0), citrate-phosphate buffer (pH 5.4, 6.0, 6.4, and 7.0), and 3-[N-morpholino]propanesulfonic acid (MOPS) (pH 6.4, 7.0, 7.4, and 7.9). For 5FC, no significant differences were found between MICs obtained with the different buffers, while for AMB, significant differences were found. The MICs obtained with citrate-phosphate buffer were approximately 1 twofold-dilution step higher than the MICs obtained with MOPS. We demonstrated that the in vitro activities of AMB and 5FC against yeast and mold isolates were pH dependent. The in vitro activity of AMB decreased when the pH was lowered, while the in vitro activity of 5FC increased. The effect of the pH on the in vitro activities was dependent not only on the antifungal agent tested but also on the microorganism. For AMB, there was a nonlinear relationship (median r(2), 0.864) for Candida spp., C. neoformans, A. fumigatus, and Rhizopus spp. over the pH range tested. The mean MICs ranged from 0.5 to 2.52 μg/ml at pH 7.0 and from 20.16 to 32 μg/ml at pH 5.0. For S. prolificans, there was no relationship. For 5FC, there was a linear relationship for Candida spp. (median r(2), 0.767) and a nonlinear relationship for C. neoformans and A. fumigatus (median r(2), 0.882) over the pH range tested. The mean MIC values ranged from 0.125 to 1,024 μg/ml at pH 7.0 and from 0.02 to 4 μg/ml at pH 5.0. For Rhizopus spp. and S. prolificans, the relationship could not be determined, since the MIC was >1,024 μg/ml over a pH range of 4.0 to 7.9

    In Vitro Interaction of Flucytosine Combined with Amphotericin B or Fluconazole against Thirty-Five Yeast Isolates Determined by both the Fractional Inhibitory Concentration Index and the Response Surface Approach

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    Combination therapy could be of benefit for the treatment of invasive yeast infections. However, in vitro interaction studies are relatively scarce and the interpretation of the fractional inhibitory concentration (FIC) index can be contradictory due to various definitions used; not all information on the interaction study is used in the index, and different MIC end points exist for different classes of drugs. Fitting an interaction model to the whole response surface and estimation of an interaction coefficient alpha (ICα) would overcome these objections and has the additional advantage that confidence intervals of the interaction are obtained. The efficacy of flucytosine (5FC) in combination with amphotericin B (AB) and fluconazole (FCZ) was studied against 35 yeast isolates in triplicate (Candida albicans [n = 9], Candida glabrata [n = 9], Candida krusei [n = 9], and Cryptococcus neoformans [n = 8]) using a broth microdilution checkerboard method and measuring growth after 48 h by a spectrophotometer. The FIC index and ICα were determined, the latter by estimation from the response surface approach described by Greco et al. (W. R. Greco, G. Bravo, and J. C. Parsons, Pharmacol. Rev. 47:331-385, 1995) by using a computer program developed for that purpose. For the 5FC-FCZ combination, the interactions determined by the ICα generally were in concordance with the interactions determined by the FIC index, but large discrepancies were found between both methods for the 5FC-AB combination. These could mainly be explained by shortcomings in the FIC approach. The in vitro interaction of 5FC-AB demonstrated variable results depending on the tested Candida isolate. In general, the 5FC-FCZ combination was antagonistic against Candida species, but for some Candida isolates synergism was found. For C. neoformans the interaction for both combinations was highly dependent on the tested isolate and the method used. Response surface approach is an alternative method for determining the interaction between antifungal agents. By using this approach, some of the problems encountered with the FIC were overcome

    Comparison of Fractional Inhibitory Concentration Index with Response Surface Modeling for Characterization of In Vitro Interaction of Antifungals against Itraconazole-Susceptible and -Resistant Aspergillus fumigatus Isolates

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    Although the fractional inhibitory concentration (FIC) index is most frequently used to define or to describe drug interactions, it has some important disadvantages when used for drugs against filamentous fungi. This includes observer bias in the determination of the MIC and no agreement on the endpoints (MIC-0, MIC-1, or MIC-2 [≥95, ≥75, and ≥50% growth inhibition, respectively]) when studying drug combinations. Furthermore, statistical analysis and comparisons are troublesome. The use of a spectrophotometric method to determine the effect of drug combinations yields quantitative data and permits the use of model fits to the whole response surface. We applied the response surface model described by Greco et al. (W. R. Greco, G. Bravo, and J. C. Parsons, Pharmacol. Rev. 47:331-385, 1995) to determine the interaction coefficient alpha (ICα) using a program developed for that purpose and compared the results with FIC indices. The susceptibilities of amphotericin B (AM), itraconazole (IT), and terbinafine (TB) were tested either alone or in combination against 10 IT-susceptible (IT-S) and 5 IT-resistant (IT-R) clinical strains of Aspergillus fumigatus using a modified checkerboard microdilution method that employs the dye MTT [3-(4,5-dimethyl-2-thiazyl)2,5-diphenyl-2H-tetrazolium bromide]. Growth in each well was determined by a spectrophotometer. FIC indices were determined and ICα values were estimated for each organism strain combination, and the latter included error estimates. Depending on the MIC endpoint used, the FIC index ranged from 1.016 to 2.077 for AM-IT, from 0.544 to 1.767 for AM-TB, and from 0.656 to 0.740 for IT-TB for the IT-S strains. For the IT-R strains the FIC index ranged from 0.308 to 1.767 for AM-IT, from 0.512 to 1.646 for AM-TB, and from 0.403 to 0.497 for IT-TB. The results indicate that the degree of interaction is not only determined by the agents themselves but also by the choice of the endpoint. Estimates of the ICα values showed more consistent results. Although the absolute FIC indices were difficult to interpret, there was a good correlation with the results obtained using the ICα values. The combination of AM with either IT or TB was antagonistic in vitro, whereas the combination of IT and TB was synergistic in vitro for both IT-S and IT-R strains. The use of response surface modeling to determine the interaction of drugs against filamentous fungi is promising, and more consistent results are obtained by this method than by using FIC indices

    In Vitro Interactions between Amphotericin B, Itraconazole, and Flucytosine against 21 Clinical Aspergillus Isolates Determined by Two Drug Interaction Models

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    Combination therapy of flucytosine (5FC) with other antifungal agents could be of use for the treatment of invasive aspergillosis. However, interpretation of the results of in vitro interactions is problematic. The fractional inhibitory concentration (FIC) index is the most commonly used method, but it has several major drawbacks in characterizing antifungal drug interaction. Alternatively, a response surface approach using the concentration-effect relationship over the whole concentration range instead of just the MIC can be used. We determined the in vitro interactions between amphotericin B (AMB), itraconazole, and 5FC against 21 Aspergillus isolates with a broth microdilution checkerboard method that employs the dye MTT [3-(4,5-dimethyl-2-thiazolyl)-2,5-diphenyl-2H-tetrazolium bromide]. FIC indices based on three different MIC endpoints (MIC-0, MIC-1, and MIC-2) and the interaction coefficient alpha were determined, the latter by estimation from the response surface approach described by Greco et al. (W. R. Greco, G. Bravo, and J. C. Parsons, Pharmacol. Rev. 47:331-385, 1995). The value obtained for the FIC index was found to be dependent on the MIC endpoint used and could be either synergistic, indifferent, or antagonistic. The response surface approach gave more consistent results. Of the three combinations tested, the AMB-5FC combination was the most potent in vitro against Aspergillus spp. We conclude that the use of the response surface approach for the interpretation of in vitro interaction studies of antifungals may be helpful in order to predict the nature and intensity of the drug interaction. However, the correlation of these results with clinical outcome remains difficult and needs to be further investigated

    Data from: Patients’ experiences with a behaviour change intervention to enhance physical activity in primary care: a mixed methods study

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    Objective: To explore the experiences of patients at risk for cardiovascular disease in primary care with the Activate intervention in relation to their success in increasing their physical activity. Methods: A convergent mixed-methods design, parallel to a cluster-randomised controlled trial in primary care, using a questionnaire and semi-structured interviews was conducted. Questionnaires from 67 patients were analysed, and semi-structured interviews of 22 patients were thematically analysed. Experiences of patients who had objectively increased their physical activity (responders) were compared to those who had not (non-responders). Objective success was analysed in relation to self-perceived success. Results: The questionnaire and interview data corresponded, and no substantial differences among responders and non-responders emerged. Participating in the intervention increased their awareness of their physical activity and their physical activity level. Key components of the intervention were nurses' subsequent consultations and trustful support and the use of self-monitoring tools. Patients highly valued jointly setting goals, planning actions, receiving feedback and review on their goal attainment and jointly solving problems. Nurses' support, using self-monitoring tools, and involving others incentivised patients. Internal circumstances and external circumstances challenged patients' engagement in increasing and maintaining their physical activity. Conclusion: Patients experienced the Activate intervention as valuable to increase and maintain their physical activity, irrespective of their objective change in physical activity. The findings enable the understanding of the effectiveness of the intervention and implementation in primary care. Trial registration: ClinicalTrials.gov NCT0272520

    Patient-tailored healthcare and tibial nerve neuromodulation in the treatment of patients with overactive bladder symptoms

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    PURPOSE: The aim of this study was to demonstrate features predictive of treatment response for patient‐tailored overactive bladder (OAB) intervention with an implantable tibial neurostimulator using patient and technical prediction factors. MATERIALS AND METHODS: This study was designed as a follow‐up study based on parameter settings and patients' preferences during the pilot and extended study of the implantable tibial nerve stimulator (RENOVA™ iStim system). For this study, we compared all treatment parameters (stimulation amplitude, frequency, and pulse width) and usage data (duration of treatment) during the different follow‐up visits. RESULTS: We obtained usage data from a total of 32 patients who were implanted with the system between February and September 2015. Age, sex, body mass index (BMI) and previous experience with percutaneous tibial nerve stimulation (PTNS) treatment were considered as possible prediction factors for treatment success. However, only BMI was considered a statistically significant prediction factor (p = 0.042). A statistically significant increase in mean treatment level was seen in the responder group during the 3 month follow‐up visit (mean: 6.7 mA, SD 0.416) as compared with the initial system activation visit (mean: 5.8 mA, SD 0.400) (p = 0.049). No other visits demonstrated statistically significant changes in both groups (responders and nonresponders) during the defined timepoints. CONCLUSION: This data underscores the need to use patient‐tailored OAB treatment. BMI was found to be a negative predictive factor for treatment success. However, it was not possible to develop a specific responder model. A model predicting response to treatment could be useful for implementing shared decision making
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