35 research outputs found

    The effect of antipsychotic medication on sexual function and serum prolactin levels in community-treated schizophrenic patients: results from the Schizophrenia Trial of Aripiprazole (STAR) study (NCT00237913)

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    <p>Abstract</p> <p>Background</p> <p>The aim of this paper is to evaluate the effect of antipsychotics for the treatment of schizophrenia in a community based study on sexual function and prolactin levels comparing the use of aripiprazole and standard of care (SOC), which was a limited choice of three widely used and available antipsychotics (olanzapine, quetiapine or risperidone) (The Schizophrenia Trial of Aripiprazole [STAR] study [NCT00237913]).</p> <p>Method</p> <p>This open-label, 26-week, multi-centre, randomised study compared aripiprazole to SOC (olanzapine, quetiapine or risperidone) in patients with schizophrenia (DSM-IV-TR criteria). The primary effectiveness variable was the mean total score of the Investigator Assessment Questionnaire (IAQ) at Week 26. The outcome research variables included the Arizona Sexual Experience scale (ASEX). This along with the data collected on serum prolactin levels at week 4, 8, 12, 18 and 26 will be the focus of this paper.</p> <p>Results</p> <p>A total of 555 patients were randomised to receive aripiprazole (n = 284) or SOC (n = 271). Both treatment groups experienced improvements in sexual function from baseline ASEX assessments. However at 8 weeks the aripiprazole treatment group reported significantly greater improvement compared with the SOC group (p = 0.007; OC). Although baseline mean serum prolactin levels were similar in the two treatment groups (43.4 mg/dL in the aripiprazole group and 42.3 mg/dL in the SOC group, p = NS) at Week 26 OC, mean decreases in serum prolactin were 34.2 mg/dL in the aripiprazole group, compared with 13.3 mg/dL in the SOC group (p < 0.001).</p> <p>Conclusion</p> <p>The study findings suggest that aripiprazole has the potential to reduce sexual dysfunction, which in turn might improve patient compliance.</p

    ΠœΠ΅Ρ‚ΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΡ синтСза Π°Ρ€Ρ…ΠΈΡ‚Π΅ΠΊΡ‚ΡƒΡ€Ρ‹ ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΠ½ΠΎ-тСхничСского комплСкса Π°Π²Ρ‚ΠΎΠΌΠ°Ρ‚ΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Π½Π½ΠΎΠΉ систСмы ΠΌΠΎΠ½ΠΈΡ‚ΠΎΡ€ΠΈΠ½Π³Π° обстановки

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    ΠŸΡ€Π΅Π΄Π»ΠΎΠΆΠ΅Π½ ΠΏΠΎΠ΄Ρ…ΠΎΠ΄ ΠΊ ΠΏΡ€ΠΎΠ΅ΠΊΡ‚ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΡŽ Π°Ρ€Ρ…ΠΈΡ‚Π΅ΠΊΡ‚ΡƒΡ€Ρ‹ ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΠ½ΠΎ-тСхничСского комплСкса Π°Π²Ρ‚ΠΎΠΌΠ°Ρ‚ΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Π½Π½ΠΎΠΉ систСмы ΠΌΠΎΠ½ΠΈΡ‚ΠΎΡ€ΠΈΠ½Π³Π° обстановки Π² Ρ€Π΅Π°Π»ΡŒΠ½ΠΎΠΌ Π²Ρ€Π΅ΠΌΠ΅Π½ΠΈ, основанный Π½Π° классификации Ρ€Π΅ΡˆΠ°Π΅ΠΌΡ‹Ρ… Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½Ρ‹Ρ… Π·Π°Π΄Π°Ρ‡ Π½Π° основС ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ² кластСрного Π°Π½Π°Π»ΠΈΠ·Π° ΠΈ Π²Ρ‹Π±Ρ€Π°Π½Π½ΠΎΠ³ΠΎ мноТСства ΠΏΡ€ΠΈΠ·Π½Π°ΠΊΠΎΠ² подобия. Π Π°Π·Ρ€Π°Π±ΠΎΡ‚Π°Π½Π½Ρ‹ΠΉ ΠΏΠΎΠ΄Ρ…ΠΎΠ΄ позволяСт ΠΈΠ· мноТСства Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΉ систСмы Π²Ρ‹Π΄Π΅Π»ΠΈΡ‚ΡŒ ΠΏΠΎΠ΄ΠΎΠ±Π½Ρ‹Π΅ (ΠΏΠΎ ΠΎΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½Π½Ρ‹ΠΌ ΠΏΡ€ΠΈΠ·Π½Π°ΠΊΠ°ΠΌ) ΠΈ ΠΎΠ±ΡŠΠ΅Π΄ΠΈΠ½ΠΈΡ‚ΡŒ ΠΈΡ… Π² Π°Ρ€Ρ…ΠΈΡ‚Π΅ΠΊΡ‚ΡƒΡ€Π½Ρ‹Π΅ ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½Ρ‚Ρ‹ (ΡƒΠ½ΠΈΡ„ΠΈΡ†ΠΈΡ€ΠΎΠ²Π°Π½Π½Ρ‹Π΅ Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½Ρ‹Π΅ ΠΌΠΎΠ΄ΡƒΠ»ΠΈ).Π—Π°ΠΏΡ€ΠΎΠΏΠΎΠ½ΠΎΠ²Π°Π½ΠΎ ΠΏΡ–Π΄Ρ…Ρ–Π΄ Π΄ΠΎ проСктування Π°Ρ€Ρ…Ρ–Ρ‚Π΅ΠΊΡ‚ΡƒΡ€ΠΈ Ρ†Π΅Π½Ρ‚Ρ€Ρƒ ΠΎΠ±Ρ€ΠΎΠ±ΠΊΠΈ Ρ–Π½Ρ„ΠΎΡ€ΠΌΠ°Ρ†Ρ–Ρ— Π°Π²Ρ‚ΠΎΠΌΠ°Ρ‚ΠΈΠ·ΠΎΠ²Π°Π½ΠΎΡ— систСми ΠΌΠΎΠ½Ρ–Ρ‚ΠΎΡ€ΠΈΠ½Π³Ρƒ сСрСдовища Π² Ρ€Π΅Π°Π»ΡŒΠ½ΠΎΠΌΡƒ часі, Ρ‰ΠΎ заснований Π½Π° класифікації Ρ„ΡƒΠ½ΠΊΡ†Ρ–ΠΎΠ½Π°Π»ΡŒΠ½ΠΈΡ… Π·Π°Π΄Π°Ρ‡ Π½Π° підставі ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ–Π² кластСрного Π°Π½Π°Π»Ρ–Π·Ρƒ Ρ– ΠΎΠ±Ρ€Π°Π½ΠΎΡ— ΠΌΠ½ΠΎΠΆΠΈΠ½ΠΈ ΠΎΠ·Π½Π°ΠΊ схоТості. Π ΠΎΠ·Ρ€ΠΎΠ±Π»Π΅Π½ΠΈΠΉ ΠΏΡ–Π΄Ρ…Ρ–Π΄ дозволяє Π²ΠΈΠ±Ρ€Π°Ρ‚ΠΈ Ρ–Π· ΠΌΠ½ΠΎΠΆΠΈΠ½ΠΈ Ρ„ΡƒΠ½ΠΊΡ†Ρ–ΠΉ систСми схоТі (Π·Π° ΠΏΠ΅Π²Π½ΠΈΠΌΠΈ ΠΎΠ·Π½Π°ΠΊΠ°ΠΌΠΈ) Ρ– ΠΏΠΎΡ”Π΄Π½Π°Ρ‚ΠΈ Ρ—Ρ… Π² Π°Ρ€Ρ…Ρ–Ρ‚Π΅ΠΊΡ‚ΡƒΡ€Π½Ρ– ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½Ρ‚ΠΈ (ΡƒΠ½Ρ–Ρ„Ρ–ΠΊΠΎΠ²Π°Π½Ρ– Ρ„ΡƒΠ½ΠΊΡ†Ρ–ΠΎΠ½Π°Π»ΡŒΠ½Ρ– ΠΌΠΎΠ΄ΡƒΠ»Ρ–).The approach to designing architecture of the information processing complex of the automated real time conditions monitoring system based on classification of functional tasks on the basis of methods of cluster analysis and the chosen set of similarity attributes is offered. The developed approach allows to allocate from a set of functions the systems similar (on certain attributes) and to unite them in architectural components (unified functional modules)

    Crimes by people with schizophrenia in Korea: comparison with the general population

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    Background This study was performed to describe the prevalence of crimes committed by persons with schizophrenia using population-based data and to compare the crime prevalence of persons with schizophrenia and the general population. Methods The number of crimes was obtained from the Korean National Policy Agency (KNPA) crime statistics (2012–2016), which provide the number of crimes in terms of the criminals mental status and mental health conditions. For the number of persons with schizophrenia, estimates were usedwhich had been calculated from the inpatient and outpatient claims from the National Health Insurance Service. The crime prevalence in persons with schizophrenia was calculated according to the types of crimes, and a comparison with the general population was conducted. Results The overall crime prevalence of persons with schizophrenia was 72.7 to 90.3 per 10,000 from 2012 through 2016, which was about one fifth that of the general population. While the crime rates of the persons with schizophrenia were lower than the general population in most types of crimes including violence, intellectual crimes, and theft, the prevalence of murder, arson, and drug-related crimes in persons with schizophrenia was about five times, six times, and two times that of the general population respectively. Conclusion The higher prevalence of serious offences among persons with schizophrenia suggests the need for closer and more appropriate care for the population, which would be achieved through effective continuity of institutional and community care
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