185 research outputs found

    How to Obtain NNT from Cohen's d: Comparison of Two Methods

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    Background: In the literature we find many indices of size of treatment effect (effect size: ES). The preferred index of treatment effect in evidence-based medicine is the number needed to treat (NNT), while the most common one in the medical literature is Cohen’s d when the outcome is continuous. There is confusion about how to convert Cohen’s d into NNT. Methods: We conducted meta-analyses of individual patient data from 10 randomized controlled trials of second generation antipsychotics for schizophrenia (n = 4278) to produce Cohen’s d and NNTs for various definitions of response, using cutoffs of 10 % through 90 % reduction on the symptom severity scale. These actual NNTs were compared with NNTs calculated from Cohen’s d according to two proposed methods in the literature (Kraemer, et al., Biological Psychiatry, 2006; Furukawa, Lancet, 1999). Results: NNTs from Kraemer’s method overlapped with the actual NNTs in 56%, while those based on Furukawa’s method fell within the observed ranges of NNTs in 97 % of the examined instances. For various definitions of response corresponding with 10 % through 70 % symptom reduction where we observed a non-small number of responders, the degree of agreement for the former method was at a chance level (ANOVA ICC of 0.12, p = 0.22) but that for the latter method was ANOVA ICC of 0.86 (95%CI: 0.55 to 0.95, p,0.01)

    EEG alterations during treatment with olanzapine

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    The aim of this naturalistic observational study was to investigate EEG alterations in patients under olanzapine treatment with a special regard to olanzapine dose and plasma concentration. Twenty-two in-patients of a psychiatric university ward with the monodiagnosis of paranoid schizophrenia (ICD-10: F20.0), who received a monotherapy of olanzapine were included in this study. All patients had a normal alpha-EEG before drug therapy, and did not suffer from brain-organic dysfunctions, as verified by clinical examination and cMRI scans. EEG and olanzapine plasma levels were determined under steady-state conditions (between 18 and 22 days after begin of treatment). In 9 patients (40.9%), pathological EEG changes (one with spike-waves) consecutive to olanzapine treatment were observed. The dose of olanzapine was significantly higher in patients with changes of the EEG than in patients without changes (24.4 mg/day (SD: 8.1) vs. 12.7 mg/day (SD: 4.8); T = −4.3, df = 21, P < 0.001). In patients with EEG changes, the blood plasma concentration of olanzapine (45.6 Όg/l (SD: 30.9) vs. 26.3 Όg/l (SD: 21.6) tended to be also higher. The sensitivity of olanzapine dosage to predict EEG changes was 66.7%, the specificity 100% (Youden-index: 0.67). EEG abnormalities during olanzapine treatment are common. These are significantly dose dependent. Thus, EEG control recordings should be mandatory during olanzapine treatment with special emphasis on dosages exceeding 20 mg per day, although keeping in mind that EEGs have only a limited predictive power regarding future epileptic seizures

    Maintenance of response with atypical antipsychotics in the treatment of schizophrenia: a post-hoc analysis of 5 double-blind, randomized clinical trials

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    <p>Abstract</p> <p>Background</p> <p>How long an antipsychotic is effective in maintaining response is important in choosing the correct treatment for people with schizophrenia. This post-hoc analysis describes maintenance of response over 24 or 28 weeks in people treated for schizophrenia with olanzapine, risperidone, quetiapine, ziprasidone, or aripiprazole.</p> <p>Methods</p> <p>This was a post-hoc analysis using data from 5 double-blind, randomized, comparative trials of 24 or 28 weeks duration in which olanzapine was compared to risperidone (1 study; N = 339), quetiapine (1 study; N = 346), ziprasidone (2 studies; N = 548 and 394) or aripiprazole (1 study; N = 566) for treatment of schizophrenia. For each study, time to loss of response in patients who met criteria for response at Week 8 and the proportion of patients who lost response following Week 8 were compared by treatment group. The number needed to treat (NNT) with olanzapine rather than comparator to avoid loss of one additional responder over 24 or 28 weeks of treatment was calculated for each study.</p> <p>Results</p> <p>Time maintained in response was significantly longer (p < .05) for olanzapine compared to risperidone, quetiapine, and ziprasidone. Olanzapine did not significantly differ from aripiprazole. The proportion of patients who lost response was significantly lower for olanzapine versus risperidone, quetiapine, and ziprasidone (p < .05). NNTs to avoid one additional patient with loss of response with olanzapine versus risperidone, quetiapine and ziprasidone were favourable, ranging from 5 to 9.</p> <p>Conclusion</p> <p>During 24 and 28 weeks of treatment, the antipsychotics studied differed in the time that treated patients with schizophrenia remained in response and the proportion of patients who lost response. Olanzapine treatment resulted in a consistent and statistically significant advantage in maintenance of response compared to treatment with risperidone, quetiapine and ziprasidone; but not compared to treatment with aripiprazole.</p

    ĐĐŸĐČі яĐČоща у Ń„ŃƒĐœĐșŃ†Ń–ĐŸĐœĐ°Đ»ŃŒĐœĐŸ-ŃŃ‚ĐžĐ»Ń–ŃŃ‚ĐžŃ‡ĐœĐŸĐŒŃƒ ĐČжОĐČĐ°ĐœĐœŃ– ĐżŃ€ĐŸŃ‚ĐžŃŃ‚Đ°ĐČĐœĐžŃ… ŃĐżĐŸĐ»ŃƒŃ‡ĐœĐžĐșіĐČ ĐČ ŃƒĐșŃ€Đ°Ń—ĐœŃŃŒĐșіĐč Đ»Ń–Ń‚Đ”Ń€Đ°Ń‚ŃƒŃ€ĐœŃ–Đč ĐŒĐŸĐČі ĐșŃ–ĐœŃ†Ń Đ„Đ„ — ĐżĐŸŃ‡Đ°Ń‚Đșу ЄЄІ ŃŃ‚ĐŸĐ»Ń–Ń‚ŃŒ

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    ĐŁ статті ĐŽĐŸŃĐ»Ń–ĐŽĐ¶Đ”ĐœĐŸ Đ·ĐŒŃ–ĐœĐž у Ń„ŃƒĐœĐșŃ†Ń–ĐŸĐœŃƒĐČĐ°ĐœĐœŃ– ĐœĐ°ĐčужОĐČĐ°ĐœŃ–ŃˆĐžŃ… ĐżŃ€ĐŸŃ‚ĐžŃŃ‚Đ°ĐČĐœĐžŃ… ŃĐżĐŸĐ»ŃƒŃ‡ĐœĐžĐșіĐČ Ńƒ ĐŒĐŸĐČі уĐșŃ€Đ°Ń—ĐœŃŃŒĐșĐŸŃ— прДсО та Ń…ŃƒĐŽĐŸĐ¶ĐœŃŒĐŸŃ— Đ»Ń–Ń‚Đ”Ń€Đ°Ń‚ŃƒŃ€Đž ĐșŃ–ĐœŃ†Ń Đ„Đ„ — ĐżĐŸŃ‡Đ°Ń‚ Đșу ЄЄІ ŃŃ‚ĐŸĐ»Ń–Ń‚ŃŒ, ĐŸĐ±Ò‘Ń€ŃƒĐœŃ‚ĐŸĐČĐ°ĐœĐŸ слабĐșу ŃĐ”ĐŒĐ°ĐœŃ‚ĐžĐșĐŸ-ŃĐžĐœŃ‚Đ°ĐșŃĐžŃ‡ĐœŃƒ спДціалізацію ĐżŃ€ĐŸŃ‚ĐžŃŃ‚Đ°ĐČĐœĐžŃ… ŃĐżĐŸĐ»ŃƒŃ‡ĐœĐžĐșіĐČ Ń‚Đ° ĐČĐžĐ·ĐœĐ°Ń‡Đ”ĐœĐŸ Ń—Ń…ĐœŃ– Ń‚Ń€Đ°ĐœŃĐżĐŸĐ·ĐžŃ†Ń–ĐčĐœŃ– ĐŒĐŸĐ¶Đ»ĐžĐČĐŸŃŃ‚Ń–.In the article the changes in the functioning of the most used adversative conjunctions in the language of Ukrainian press and artistic literature of the end of the XX — the beginning of the XXI centuries have been investigated, weak semantic-syntactic specialization of adversative conjunctions has been explained and their transisting resources have been determined

    Asthma in Black African, Black Caribbean and South Asian adolescents in the MRC DASH study: a cross sectional analysis

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    Extent: 7p.Background: Ethnic differences in the prevalence of asthma among children in the UK are under-researched. We aimed to determine the ethnic differences in the prevalence of asthma and atopic asthma in children from the main UK ethnic groups, and whether differences are associated with differential distributions in social and psychosocial risk factors. Methods: 6,643 pupils aged 11-13 years, 80% ethnic minorities. Outcomes were asthma/wheeze with (atopic) and without hay fever/eczema. Risk factors examined were family history of asthma, length of residence in the UK, socioeconomic disadvantage, tobacco exposure, psychological well-being, and body mass index (BMI). Results: There was a pattern of lower prevalence of asthma in Black African boys and girls, and Indian and Bangladeshi girls compared to White UK. The overall prevalence was higher in Mixed Black Caribbean/White boys, with more atopic asthma in Black Caribbean boys and Mixed Black Caribbean/White boys due to more hayfever. Poor psychological well-being and family history of asthma were associated with an increased risk of asthma within each ethnic group. UK residence for ≀ 5 years was protective for Black Caribbeans and Black Africans. Increased BMI was associated with an increased reporting of asthma for Black Africans. Adjustments for all variables did not remove the excess asthma reported by Black Caribbean boys (atopic) or Mixed Black Caribbean/White boys. Conclusion: The protective effect of being born abroad accounted for ethnic differences in some groups, signalling a role for socio-environmental factors in patterning ethnic differences in asthma in adolescence.Melissa J Whitrow and Seeromanie Hardin

    The role of micro-organisms (Staphylococcus aureus and Candida albicans) in the pathogenesis of breast pain and infection in lactating women: study protocol

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    Background: The CASTLE (Candida and Staphylococcus Transmission: Longitudinal Evaluation) study will investigate the micro-organisms involved in the development of mastitis and &ldquo;breast thrush&rdquo; among breastfeeding women. To date, the organism(s) associated with the development of breast thrush have not been identified. The CASTLE study will also investigate the impact of physical health problems and breastfeeding problems on maternal psychological health in the early postpartum period.Methods/Design: The CASTLE study is a longitudinal descriptive study designed to investigate the role of Staphylococcus spp (species) and Candida spp in breast pain and infection among lactating women, and to describe the transmission dynamics of S. aureus and Candida spp between mother and infant. The relationship between breastfeeding and postpartum health problems as well as maternal psychological well-being is also being investigated. A prospective cohort of four hundred nulliparous women who are at least thirty six weeks gestation pregnant are being recruited from two hospitals in Melbourne, Australia (November 2009 to June 2011). At recruitment, nasal, nipple (both breasts) and vaginal swabs are taken and participants complete a questionnaire asking about previous known staphylococcal and candidal infections. Following the birth, participants are followed-up six times: in hospital and then at home weekly until four weeks postpartum. Participants complete a questionnaire at each time points to collect information about breastfeeding problems and postpartum health problems. Nasal and nipple swabs and breast milk samples are collected from the mother. Oral and nasal swabs are collected from the baby. A telephone interview is conducted at eight weeks postpartum to collect information about postpartum health problems and breastfeeding problems, such as mastitis and nipple and breast pain.Discussion: This study is the first longitudinal study of the role of both staphylococcal and candidal colonisation in breast infections and will help to resolve the current controversy about which is the primary organism in the condition known as breast thrush. This study will also document transmission dynamics of S. aureus and Candida spp between mother and infant. In addition, CASTLE will investigate the impact of common maternal physical health symptoms and the effect of breastfeeding problems on maternal psychological well-being.<br /

    Change in level of productivity in the treatment of schizophrenia with olanzapine or other antipsychotics

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    <p>Abstract</p> <p>Background</p> <p>When treating schizophrenia, improving patients' productivity level is a major goal considering schizophrenia is a leading cause of functional disability. Productivity level has been identified as the most preferred treatment outcome by patients with schizophrenia. However, little has been done to systematically investigate productivity levels in schizophrenia. We set out to better understand the change in productivity level among chronically ill patients with schizophrenia treated with olanzapine compared with other antipsychotic medications. We also assessed the links between productivity level and other clinical outcomes.</p> <p>Methods</p> <p>This post hoc analysis used data from 6 randomized, double-blind clinical trials of patients with schizophrenia or schizoaffective disorder, with each trial being of approximately 6 months duration. Change in productivity level was compared between olanzapine-treated patients (HGBG, n = 172; HGHJ, n = 277; HGJB, n = 171; HGLB, n = 281; HGGN, n = 159; HGDH, n = 131) and patients treated with other antipsychotic medications (separately vs. haloperidol [HGGN, n = 97; HGDH, n = 132], risperidone [HGBG, n = 167; HGGN, n = 158], quetiapine [HGJB, n = 175], ziprasidone [HGHJ, n = 271] and aripiprazole [HGLB, n = 285]). Productivity was defined as functional activities/work including working for pay, studying, housekeeping and volunteer work. Productivity level in the prior 3 months was assessed on a 5-point scale ranging from no useful functioning to functional activity/work 75% to 100% of the time.</p> <p>Results</p> <p>Chronically ill patients treated with olanzapine (OLZ) experienced significantly greater improvement in productivity when compared to patients treated with risperidone (RISP) (OLZ = 0.22 ± 1.19, RISP = -0.03 ± 1.17, p = 0.033) or ziprasidone (ZIP) (OLZ = 0.50 ± 1.38, ZIP = 0.25 ± 1.27, p = 0.026), but did not significantly differ from the quetiapine, aripiprazole or haloperidol treatment groups. Among first episode patients, OLZ therapy was associated with greater improvements in productivity levels compared to haloperidol (HAL), during the acute phase (OLZ = -0.31 ± 1.59, HAL = -0.69 ± 1.56, p = 0.011) and over the long-term (OLZ = 0.10 ± 1.50, HAL = -0.32 ± 1.91, p = 0.008). Significantly more chronically ill and first episode patients treated with olanzapine showed moderately high (>50%-75% of the time) and high levels of productivity (>75%-100% of the time) at endpoint, when compared to risperidone or haloperidol-treated patients (p < .05), respectively. Higher productivity level was associated with significantly higher study completion rates and better scores on the positive, negative, disorganized thoughts, hostility and depression subscales of the Positive and Negative Symptom Scale (PANSS).</p> <p>Conclusions</p> <p>Some antipsychotic medications significantly differed in beneficial impact on productivity level in the long-term treatment of patients with schizophrenia. Findings further highlight the link between clinical and functional outcomes, showing significant associations between higher productivity, lower symptom severity and better persistence on therapy.</p> <p>Trial Registration</p> <p>clinicaltrials.gov identifier <a href="http://www.clinicaltrials.gov/ct2/show/NCT00088049">NCT00088049</a>; <a href="http://www.clinicaltrials.gov/ct2/show/NCT00036088">NCT00036088</a></p
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