Early predictors of poor treatment response in patients with schizophrenia treated with atypical antipsychotics

Background The aims of this study were to explore the relationship between early reduction in psychotic symptoms and the ultimate response in patients with schizophrenia treated by atypical antipsychotics, and to determine the best time to switch or maitain the regimen. We also explore the possible...
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Autor*in:	Chen, Yi-Lung [verfasserIn] Chen, Kun-Po Chiu, Chih-Chiang Tai, Ming-Hong Lung, For-Wey

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2018

Schlagwörter:	Schizophrenia PANSS Positive predictive value Negative predictive value

Anmerkung:	© The Author(s). 2018

Übergeordnetes Werk:	Enthalten in: BMC psychiatry - London : BioMed Central, 2001, 18(2018), 1 vom: 04. Dez.
Übergeordnetes Werk:	volume:18 ; year:2018 ; number:1 ; day:04 ; month:12

Links:	Volltext

DOI / URN:	10.1186/s12888-018-1950-1

Katalog-ID:	SPR027815714

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520			\|a Background The aims of this study were to explore the relationship between early reduction in psychotic symptoms and the ultimate response in patients with schizophrenia treated by atypical antipsychotics, and to determine the best time to switch or maitain the regimen. We also explore the possible predictors for the clinical response. Methods One hundred eleven inpatients with acutely exacerbated schizophrenia were randomized to give optimal therapy of olanzapine, risperidone, and paliperidone in one-week run-in period and 12 weeks’ intervention. All participants were assessed using Positive and Negative Syndrome Scale (PANSS). Early Response, defined as reduction of 25% in PANSS score, was examined at weeks 1, 2, 3, 4 and 8, and these ratings were used to predict ultimate response (25% PANSS reduction) at week 12. We hypothesized that early treatment response at Week 1 or 2 could predict Week 12’s treatment outcome. Results The early treatment response at Week 2 had a greater negative prediction value (NPV, 93.6%) than did the response at Week 1 (NPV, 69.7%), Week 3 (NPV, 91.5%), Week 4 (NPV, 90.7%) and Week 8 (NPV, 87.2%). The positive predictive value became more acceptable (65%) until Week 4. There was no any other potential predictors, including types of antipsychotics medication and treatment dosage, were associated with ultimate response in this study. Conclusion The treatment non-response at Week 2 optimally predicted the ultimate (Week 12) non-response, in terms of negative predictive value (NPV). These finding suggests that the revision of treatment strategy should be considered t if patients with schizophrenia was not responsive to them after 2 weeks’ treatment, and for those who are responders at Week 2, another two weeks are needed to further evaluate whether they will be continuously responsive. Trial registration NCT03730857 at ClinicalTrial.gov. Date of registration: 30/Oct/2018.
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allfields	10.1186/s12888-018-1950-1 doi (DE-627)SPR027815714 (SPR)s12888-018-1950-1-e DE-627 ger DE-627 rakwb eng Chen, Yi-Lung verfasserin aut Early predictors of poor treatment response in patients with schizophrenia treated with atypical antipsychotics 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s). 2018 Background The aims of this study were to explore the relationship between early reduction in psychotic symptoms and the ultimate response in patients with schizophrenia treated by atypical antipsychotics, and to determine the best time to switch or maitain the regimen. We also explore the possible predictors for the clinical response. Methods One hundred eleven inpatients with acutely exacerbated schizophrenia were randomized to give optimal therapy of olanzapine, risperidone, and paliperidone in one-week run-in period and 12 weeks’ intervention. All participants were assessed using Positive and Negative Syndrome Scale (PANSS). Early Response, defined as reduction of 25% in PANSS score, was examined at weeks 1, 2, 3, 4 and 8, and these ratings were used to predict ultimate response (25% PANSS reduction) at week 12. We hypothesized that early treatment response at Week 1 or 2 could predict Week 12’s treatment outcome. Results The early treatment response at Week 2 had a greater negative prediction value (NPV, 93.6%) than did the response at Week 1 (NPV, 69.7%), Week 3 (NPV, 91.5%), Week 4 (NPV, 90.7%) and Week 8 (NPV, 87.2%). The positive predictive value became more acceptable (65%) until Week 4. There was no any other potential predictors, including types of antipsychotics medication and treatment dosage, were associated with ultimate response in this study. Conclusion The treatment non-response at Week 2 optimally predicted the ultimate (Week 12) non-response, in terms of negative predictive value (NPV). These finding suggests that the revision of treatment strategy should be considered t if patients with schizophrenia was not responsive to them after 2 weeks’ treatment, and for those who are responders at Week 2, another two weeks are needed to further evaluate whether they will be continuously responsive. Trial registration NCT03730857 at ClinicalTrial.gov. Date of registration: 30/Oct/2018. Schizophrenia (dpeaa)DE-He213 PANSS (dpeaa)DE-He213 Positive predictive value (dpeaa)DE-He213 Negative predictive value (dpeaa)DE-He213 Chen, Kun-Po aut Chiu, Chih-Chiang aut Tai, Ming-Hong aut Lung, For-Wey (orcid)0000-0002-4505-7583 aut Enthalten in BMC psychiatry London : BioMed Central, 2001 18(2018), 1 vom: 04. Dez. (DE-627)331018799 (DE-600)2050438-X 1471-244X nnns volume:18 year:2018 number:1 day:04 month:12 https://dx.doi.org/10.1186/s12888-018-1950-1 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 18 2018 1 04 12
spelling	10.1186/s12888-018-1950-1 doi (DE-627)SPR027815714 (SPR)s12888-018-1950-1-e DE-627 ger DE-627 rakwb eng Chen, Yi-Lung verfasserin aut Early predictors of poor treatment response in patients with schizophrenia treated with atypical antipsychotics 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s). 2018 Background The aims of this study were to explore the relationship between early reduction in psychotic symptoms and the ultimate response in patients with schizophrenia treated by atypical antipsychotics, and to determine the best time to switch or maitain the regimen. We also explore the possible predictors for the clinical response. Methods One hundred eleven inpatients with acutely exacerbated schizophrenia were randomized to give optimal therapy of olanzapine, risperidone, and paliperidone in one-week run-in period and 12 weeks’ intervention. All participants were assessed using Positive and Negative Syndrome Scale (PANSS). Early Response, defined as reduction of 25% in PANSS score, was examined at weeks 1, 2, 3, 4 and 8, and these ratings were used to predict ultimate response (25% PANSS reduction) at week 12. We hypothesized that early treatment response at Week 1 or 2 could predict Week 12’s treatment outcome. Results The early treatment response at Week 2 had a greater negative prediction value (NPV, 93.6%) than did the response at Week 1 (NPV, 69.7%), Week 3 (NPV, 91.5%), Week 4 (NPV, 90.7%) and Week 8 (NPV, 87.2%). The positive predictive value became more acceptable (65%) until Week 4. There was no any other potential predictors, including types of antipsychotics medication and treatment dosage, were associated with ultimate response in this study. Conclusion The treatment non-response at Week 2 optimally predicted the ultimate (Week 12) non-response, in terms of negative predictive value (NPV). These finding suggests that the revision of treatment strategy should be considered t if patients with schizophrenia was not responsive to them after 2 weeks’ treatment, and for those who are responders at Week 2, another two weeks are needed to further evaluate whether they will be continuously responsive. Trial registration NCT03730857 at ClinicalTrial.gov. Date of registration: 30/Oct/2018. Schizophrenia (dpeaa)DE-He213 PANSS (dpeaa)DE-He213 Positive predictive value (dpeaa)DE-He213 Negative predictive value (dpeaa)DE-He213 Chen, Kun-Po aut Chiu, Chih-Chiang aut Tai, Ming-Hong aut Lung, For-Wey (orcid)0000-0002-4505-7583 aut Enthalten in BMC psychiatry London : BioMed Central, 2001 18(2018), 1 vom: 04. Dez. (DE-627)331018799 (DE-600)2050438-X 1471-244X nnns volume:18 year:2018 number:1 day:04 month:12 https://dx.doi.org/10.1186/s12888-018-1950-1 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 18 2018 1 04 12
allfields_unstemmed	10.1186/s12888-018-1950-1 doi (DE-627)SPR027815714 (SPR)s12888-018-1950-1-e DE-627 ger DE-627 rakwb eng Chen, Yi-Lung verfasserin aut Early predictors of poor treatment response in patients with schizophrenia treated with atypical antipsychotics 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s). 2018 Background The aims of this study were to explore the relationship between early reduction in psychotic symptoms and the ultimate response in patients with schizophrenia treated by atypical antipsychotics, and to determine the best time to switch or maitain the regimen. We also explore the possible predictors for the clinical response. Methods One hundred eleven inpatients with acutely exacerbated schizophrenia were randomized to give optimal therapy of olanzapine, risperidone, and paliperidone in one-week run-in period and 12 weeks’ intervention. All participants were assessed using Positive and Negative Syndrome Scale (PANSS). Early Response, defined as reduction of 25% in PANSS score, was examined at weeks 1, 2, 3, 4 and 8, and these ratings were used to predict ultimate response (25% PANSS reduction) at week 12. We hypothesized that early treatment response at Week 1 or 2 could predict Week 12’s treatment outcome. Results The early treatment response at Week 2 had a greater negative prediction value (NPV, 93.6%) than did the response at Week 1 (NPV, 69.7%), Week 3 (NPV, 91.5%), Week 4 (NPV, 90.7%) and Week 8 (NPV, 87.2%). The positive predictive value became more acceptable (65%) until Week 4. There was no any other potential predictors, including types of antipsychotics medication and treatment dosage, were associated with ultimate response in this study. Conclusion The treatment non-response at Week 2 optimally predicted the ultimate (Week 12) non-response, in terms of negative predictive value (NPV). These finding suggests that the revision of treatment strategy should be considered t if patients with schizophrenia was not responsive to them after 2 weeks’ treatment, and for those who are responders at Week 2, another two weeks are needed to further evaluate whether they will be continuously responsive. Trial registration NCT03730857 at ClinicalTrial.gov. Date of registration: 30/Oct/2018. Schizophrenia (dpeaa)DE-He213 PANSS (dpeaa)DE-He213 Positive predictive value (dpeaa)DE-He213 Negative predictive value (dpeaa)DE-He213 Chen, Kun-Po aut Chiu, Chih-Chiang aut Tai, Ming-Hong aut Lung, For-Wey (orcid)0000-0002-4505-7583 aut Enthalten in BMC psychiatry London : BioMed Central, 2001 18(2018), 1 vom: 04. Dez. (DE-627)331018799 (DE-600)2050438-X 1471-244X nnns volume:18 year:2018 number:1 day:04 month:12 https://dx.doi.org/10.1186/s12888-018-1950-1 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 18 2018 1 04 12
allfieldsGer	10.1186/s12888-018-1950-1 doi (DE-627)SPR027815714 (SPR)s12888-018-1950-1-e DE-627 ger DE-627 rakwb eng Chen, Yi-Lung verfasserin aut Early predictors of poor treatment response in patients with schizophrenia treated with atypical antipsychotics 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s). 2018 Background The aims of this study were to explore the relationship between early reduction in psychotic symptoms and the ultimate response in patients with schizophrenia treated by atypical antipsychotics, and to determine the best time to switch or maitain the regimen. We also explore the possible predictors for the clinical response. Methods One hundred eleven inpatients with acutely exacerbated schizophrenia were randomized to give optimal therapy of olanzapine, risperidone, and paliperidone in one-week run-in period and 12 weeks’ intervention. All participants were assessed using Positive and Negative Syndrome Scale (PANSS). Early Response, defined as reduction of 25% in PANSS score, was examined at weeks 1, 2, 3, 4 and 8, and these ratings were used to predict ultimate response (25% PANSS reduction) at week 12. We hypothesized that early treatment response at Week 1 or 2 could predict Week 12’s treatment outcome. Results The early treatment response at Week 2 had a greater negative prediction value (NPV, 93.6%) than did the response at Week 1 (NPV, 69.7%), Week 3 (NPV, 91.5%), Week 4 (NPV, 90.7%) and Week 8 (NPV, 87.2%). The positive predictive value became more acceptable (65%) until Week 4. There was no any other potential predictors, including types of antipsychotics medication and treatment dosage, were associated with ultimate response in this study. Conclusion The treatment non-response at Week 2 optimally predicted the ultimate (Week 12) non-response, in terms of negative predictive value (NPV). These finding suggests that the revision of treatment strategy should be considered t if patients with schizophrenia was not responsive to them after 2 weeks’ treatment, and for those who are responders at Week 2, another two weeks are needed to further evaluate whether they will be continuously responsive. Trial registration NCT03730857 at ClinicalTrial.gov. Date of registration: 30/Oct/2018. Schizophrenia (dpeaa)DE-He213 PANSS (dpeaa)DE-He213 Positive predictive value (dpeaa)DE-He213 Negative predictive value (dpeaa)DE-He213 Chen, Kun-Po aut Chiu, Chih-Chiang aut Tai, Ming-Hong aut Lung, For-Wey (orcid)0000-0002-4505-7583 aut Enthalten in BMC psychiatry London : BioMed Central, 2001 18(2018), 1 vom: 04. Dez. (DE-627)331018799 (DE-600)2050438-X 1471-244X nnns volume:18 year:2018 number:1 day:04 month:12 https://dx.doi.org/10.1186/s12888-018-1950-1 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 18 2018 1 04 12
allfieldsSound	10.1186/s12888-018-1950-1 doi (DE-627)SPR027815714 (SPR)s12888-018-1950-1-e DE-627 ger DE-627 rakwb eng Chen, Yi-Lung verfasserin aut Early predictors of poor treatment response in patients with schizophrenia treated with atypical antipsychotics 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s). 2018 Background The aims of this study were to explore the relationship between early reduction in psychotic symptoms and the ultimate response in patients with schizophrenia treated by atypical antipsychotics, and to determine the best time to switch or maitain the regimen. We also explore the possible predictors for the clinical response. Methods One hundred eleven inpatients with acutely exacerbated schizophrenia were randomized to give optimal therapy of olanzapine, risperidone, and paliperidone in one-week run-in period and 12 weeks’ intervention. All participants were assessed using Positive and Negative Syndrome Scale (PANSS). Early Response, defined as reduction of 25% in PANSS score, was examined at weeks 1, 2, 3, 4 and 8, and these ratings were used to predict ultimate response (25% PANSS reduction) at week 12. We hypothesized that early treatment response at Week 1 or 2 could predict Week 12’s treatment outcome. Results The early treatment response at Week 2 had a greater negative prediction value (NPV, 93.6%) than did the response at Week 1 (NPV, 69.7%), Week 3 (NPV, 91.5%), Week 4 (NPV, 90.7%) and Week 8 (NPV, 87.2%). The positive predictive value became more acceptable (65%) until Week 4. There was no any other potential predictors, including types of antipsychotics medication and treatment dosage, were associated with ultimate response in this study. Conclusion The treatment non-response at Week 2 optimally predicted the ultimate (Week 12) non-response, in terms of negative predictive value (NPV). These finding suggests that the revision of treatment strategy should be considered t if patients with schizophrenia was not responsive to them after 2 weeks’ treatment, and for those who are responders at Week 2, another two weeks are needed to further evaluate whether they will be continuously responsive. Trial registration NCT03730857 at ClinicalTrial.gov. Date of registration: 30/Oct/2018. Schizophrenia (dpeaa)DE-He213 PANSS (dpeaa)DE-He213 Positive predictive value (dpeaa)DE-He213 Negative predictive value (dpeaa)DE-He213 Chen, Kun-Po aut Chiu, Chih-Chiang aut Tai, Ming-Hong aut Lung, For-Wey (orcid)0000-0002-4505-7583 aut Enthalten in BMC psychiatry London : BioMed Central, 2001 18(2018), 1 vom: 04. Dez. (DE-627)331018799 (DE-600)2050438-X 1471-244X nnns volume:18 year:2018 number:1 day:04 month:12 https://dx.doi.org/10.1186/s12888-018-1950-1 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 18 2018 1 04 12
language	English
source	Enthalten in BMC psychiatry 18(2018), 1 vom: 04. Dez. volume:18 year:2018 number:1 day:04 month:12
sourceStr	Enthalten in BMC psychiatry 18(2018), 1 vom: 04. Dez. volume:18 year:2018 number:1 day:04 month:12
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Schizophrenia PANSS Positive predictive value Negative predictive value
isfreeaccess_bool	true
container_title	BMC psychiatry
authorswithroles_txt_mv	Chen, Yi-Lung @@aut@@ Chen, Kun-Po @@aut@@ Chiu, Chih-Chiang @@aut@@ Tai, Ming-Hong @@aut@@ Lung, For-Wey @@aut@@
publishDateDaySort_date	2018-12-04T00:00:00Z
hierarchy_top_id	331018799
id	SPR027815714
language_de	englisch
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There was no any other potential predictors, including types of antipsychotics medication and treatment dosage, were associated with ultimate response in this study. Conclusion The treatment non-response at Week 2 optimally predicted the ultimate (Week 12) non-response, in terms of negative predictive value (NPV). These finding suggests that the revision of treatment strategy should be considered t if patients with schizophrenia was not responsive to them after 2 weeks’ treatment, and for those who are responders at Week 2, another two weeks are needed to further evaluate whether they will be continuously responsive. Trial registration NCT03730857 at ClinicalTrial.gov. 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author	Chen, Yi-Lung
spellingShingle	Chen, Yi-Lung misc Schizophrenia misc PANSS misc Positive predictive value misc Negative predictive value Early predictors of poor treatment response in patients with schizophrenia treated with atypical antipsychotics
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topic_title	Early predictors of poor treatment response in patients with schizophrenia treated with atypical antipsychotics Schizophrenia (dpeaa)DE-He213 PANSS (dpeaa)DE-He213 Positive predictive value (dpeaa)DE-He213 Negative predictive value (dpeaa)DE-He213
topic	misc Schizophrenia misc PANSS misc Positive predictive value misc Negative predictive value
topic_unstemmed	misc Schizophrenia misc PANSS misc Positive predictive value misc Negative predictive value
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title	Early predictors of poor treatment response in patients with schizophrenia treated with atypical antipsychotics
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title_full	Early predictors of poor treatment response in patients with schizophrenia treated with atypical antipsychotics
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author_browse	Chen, Yi-Lung Chen, Kun-Po Chiu, Chih-Chiang Tai, Ming-Hong Lung, For-Wey
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title_sort	early predictors of poor treatment response in patients with schizophrenia treated with atypical antipsychotics
title_auth	Early predictors of poor treatment response in patients with schizophrenia treated with atypical antipsychotics
abstract	Background The aims of this study were to explore the relationship between early reduction in psychotic symptoms and the ultimate response in patients with schizophrenia treated by atypical antipsychotics, and to determine the best time to switch or maitain the regimen. We also explore the possible predictors for the clinical response. Methods One hundred eleven inpatients with acutely exacerbated schizophrenia were randomized to give optimal therapy of olanzapine, risperidone, and paliperidone in one-week run-in period and 12 weeks’ intervention. All participants were assessed using Positive and Negative Syndrome Scale (PANSS). Early Response, defined as reduction of 25% in PANSS score, was examined at weeks 1, 2, 3, 4 and 8, and these ratings were used to predict ultimate response (25% PANSS reduction) at week 12. We hypothesized that early treatment response at Week 1 or 2 could predict Week 12’s treatment outcome. Results The early treatment response at Week 2 had a greater negative prediction value (NPV, 93.6%) than did the response at Week 1 (NPV, 69.7%), Week 3 (NPV, 91.5%), Week 4 (NPV, 90.7%) and Week 8 (NPV, 87.2%). The positive predictive value became more acceptable (65%) until Week 4. There was no any other potential predictors, including types of antipsychotics medication and treatment dosage, were associated with ultimate response in this study. Conclusion The treatment non-response at Week 2 optimally predicted the ultimate (Week 12) non-response, in terms of negative predictive value (NPV). These finding suggests that the revision of treatment strategy should be considered t if patients with schizophrenia was not responsive to them after 2 weeks’ treatment, and for those who are responders at Week 2, another two weeks are needed to further evaluate whether they will be continuously responsive. Trial registration NCT03730857 at ClinicalTrial.gov. Date of registration: 30/Oct/2018. © The Author(s). 2018
abstractGer	Background The aims of this study were to explore the relationship between early reduction in psychotic symptoms and the ultimate response in patients with schizophrenia treated by atypical antipsychotics, and to determine the best time to switch or maitain the regimen. We also explore the possible predictors for the clinical response. Methods One hundred eleven inpatients with acutely exacerbated schizophrenia were randomized to give optimal therapy of olanzapine, risperidone, and paliperidone in one-week run-in period and 12 weeks’ intervention. All participants were assessed using Positive and Negative Syndrome Scale (PANSS). Early Response, defined as reduction of 25% in PANSS score, was examined at weeks 1, 2, 3, 4 and 8, and these ratings were used to predict ultimate response (25% PANSS reduction) at week 12. We hypothesized that early treatment response at Week 1 or 2 could predict Week 12’s treatment outcome. Results The early treatment response at Week 2 had a greater negative prediction value (NPV, 93.6%) than did the response at Week 1 (NPV, 69.7%), Week 3 (NPV, 91.5%), Week 4 (NPV, 90.7%) and Week 8 (NPV, 87.2%). The positive predictive value became more acceptable (65%) until Week 4. There was no any other potential predictors, including types of antipsychotics medication and treatment dosage, were associated with ultimate response in this study. Conclusion The treatment non-response at Week 2 optimally predicted the ultimate (Week 12) non-response, in terms of negative predictive value (NPV). These finding suggests that the revision of treatment strategy should be considered t if patients with schizophrenia was not responsive to them after 2 weeks’ treatment, and for those who are responders at Week 2, another two weeks are needed to further evaluate whether they will be continuously responsive. Trial registration NCT03730857 at ClinicalTrial.gov. Date of registration: 30/Oct/2018. © The Author(s). 2018
abstract_unstemmed	Background The aims of this study were to explore the relationship between early reduction in psychotic symptoms and the ultimate response in patients with schizophrenia treated by atypical antipsychotics, and to determine the best time to switch or maitain the regimen. We also explore the possible predictors for the clinical response. Methods One hundred eleven inpatients with acutely exacerbated schizophrenia were randomized to give optimal therapy of olanzapine, risperidone, and paliperidone in one-week run-in period and 12 weeks’ intervention. All participants were assessed using Positive and Negative Syndrome Scale (PANSS). Early Response, defined as reduction of 25% in PANSS score, was examined at weeks 1, 2, 3, 4 and 8, and these ratings were used to predict ultimate response (25% PANSS reduction) at week 12. We hypothesized that early treatment response at Week 1 or 2 could predict Week 12’s treatment outcome. Results The early treatment response at Week 2 had a greater negative prediction value (NPV, 93.6%) than did the response at Week 1 (NPV, 69.7%), Week 3 (NPV, 91.5%), Week 4 (NPV, 90.7%) and Week 8 (NPV, 87.2%). The positive predictive value became more acceptable (65%) until Week 4. There was no any other potential predictors, including types of antipsychotics medication and treatment dosage, were associated with ultimate response in this study. Conclusion The treatment non-response at Week 2 optimally predicted the ultimate (Week 12) non-response, in terms of negative predictive value (NPV). These finding suggests that the revision of treatment strategy should be considered t if patients with schizophrenia was not responsive to them after 2 weeks’ treatment, and for those who are responders at Week 2, another two weeks are needed to further evaluate whether they will be continuously responsive. Trial registration NCT03730857 at ClinicalTrial.gov. Date of registration: 30/Oct/2018. © The Author(s). 2018
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title_short	Early predictors of poor treatment response in patients with schizophrenia treated with atypical antipsychotics
url	https://dx.doi.org/10.1186/s12888-018-1950-1
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Early predictors of poor treatment response in patients with schizophrenia treated with atypical antipsychotics

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