Pub Date : 2024-11-19DOI: 10.1016/j.ajp.2024.104315
Huiquan Zhou , Jennifer Yee Man Tang , Sherry Kit Wa Chan , Hao Luo
Objective
This study aimed to examine the reliability of death and medication records among individuals diagnosed with schizophrenia between two widely-used electronic health record (EHR) databases in Hong Kong: the Clinical Management System (CMS) and the Clinical Data Analysis and Reporting System (CDARS).
Methods
A cohort of patients with schizophrenia-spectrum disorders enrolled in public psychiatric services in Hong Kong between 1998 and 2003 was identified from the CMS. The unique IDs, vital status, and clozapine prescription information of these patients were extracted from both the CMS and CDARS. The positive predictive value (PPV) was computed to evaluate the concordance of records between the two databases.
Results
Of the 1234 patients identified in the CMS, 1119 (90.7 %) had a record of schizophrenia in the CDARS. All deaths recorded in the CDARS matched those in the CMS, but the PPV for the exact date of death was 66.4 %, improving to 86.0 % when allowing a 30-day margin of error. The PPV for clozapine prescribing was 96.1 %, and 91.8 % for the initiation date when allowing a 30-day margin of error.
Conclusion
This study provides evidence on the reliability of mortality and medication data for patients with schizophrenia in two widely-used EHR databases in Hong Kong. While the record on whether an event has occurred had excellent concordance, the exact timing of events showed lower reliability, highlighting the need to consider data resolution when utilizing these databases for research.
{"title":"The reliability of medication and death recording in electronic health records among people with schizophrenia in Hong Kong","authors":"Huiquan Zhou , Jennifer Yee Man Tang , Sherry Kit Wa Chan , Hao Luo","doi":"10.1016/j.ajp.2024.104315","DOIUrl":"10.1016/j.ajp.2024.104315","url":null,"abstract":"<div><h3>Objective</h3><div>This study aimed to examine the reliability of death and medication records among individuals diagnosed with schizophrenia between two widely-used electronic health record (EHR) databases in Hong Kong: the Clinical Management System (CMS) and the Clinical Data Analysis and Reporting System (CDARS).</div></div><div><h3>Methods</h3><div>A cohort of patients with schizophrenia-spectrum disorders enrolled in public psychiatric services in Hong Kong between 1998 and 2003 was identified from the CMS. The unique IDs, vital status, and clozapine prescription information of these patients were extracted from both the CMS and CDARS. The positive predictive value (PPV) was computed to evaluate the concordance of records between the two databases.</div></div><div><h3>Results</h3><div>Of the 1234 patients identified in the CMS, 1119 (90.7 %) had a record of schizophrenia in the CDARS. All deaths recorded in the CDARS matched those in the CMS, but the PPV for the exact date of death was 66.4 %, improving to 86.0 % when allowing a 30-day margin of error. The PPV for clozapine prescribing was 96.1 %, and 91.8 % for the initiation date when allowing a 30-day margin of error.</div></div><div><h3>Conclusion</h3><div>This study provides evidence on the reliability of mortality and medication data for patients with schizophrenia in two widely-used EHR databases in Hong Kong. While the record on whether an event has occurred had excellent concordance, the exact timing of events showed lower reliability, highlighting the need to consider data resolution when utilizing these databases for research.</div></div>","PeriodicalId":8543,"journal":{"name":"Asian journal of psychiatry","volume":"103 ","pages":"Article 104315"},"PeriodicalIF":3.8,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142723605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-19DOI: 10.1016/j.ajp.2024.104323
Rajiv Tandon
{"title":"The Asian Journal of Psychiatry turns sweet sixteen: An end of year review","authors":"Rajiv Tandon","doi":"10.1016/j.ajp.2024.104323","DOIUrl":"10.1016/j.ajp.2024.104323","url":null,"abstract":"","PeriodicalId":8543,"journal":{"name":"Asian journal of psychiatry","volume":"102 ","pages":"Article 104323"},"PeriodicalIF":3.8,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142692507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-08DOI: 10.1016/j.ajp.2024.104304
Amani N. Alansari
{"title":"Enduring conflict: The effects of war trauma on the well-being of Palestinian children","authors":"Amani N. Alansari","doi":"10.1016/j.ajp.2024.104304","DOIUrl":"10.1016/j.ajp.2024.104304","url":null,"abstract":"","PeriodicalId":8543,"journal":{"name":"Asian journal of psychiatry","volume":"103 ","pages":"Article 104304"},"PeriodicalIF":3.8,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142674757","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-04DOI: 10.1016/j.ajp.2024.104303
Cheng Chen , Baoli Zhang , Xucong Qin , Huan Huang , Bei Rong , Huiling Wang , Liang Zhang , Wei Yuan
Background
Resting-state functional magnetic resonance imaging (fMRI) studies have shown altered brain activity in major depressive disorder (MDD) and schizophrenia (SZ). Despite differing diagnoses, SZ and MDD share similar features. However, functional brain activity similarities and differences between SZ and MDD remain unclear.
Methods
Participants with MDD, SZ, and normal controls (n=36 each) underwent resting-state fMRI scans. Amplitude of low-frequency fluctuations (ALFF) was used to analyze the preprocessed rs-fMRI data. One-way ANOVAs and post hoc analyses compared ALFF values in different brain regions. Pearson correlation analysis examined associations with clinical symptoms.
Results
Comparison among the three groups revealed significant differences in ALFF values within the left superior parietal cortex (L-SPC) and bilateral striatum. Through pairwise comparisons, patients with SZ but not patients with MDD were found to exhibit increased striatum ALFF values relative to NC individuals, but decreased in MDD. Meanwhile, L-SPC ALFF values were significantly increased in patients with SZ relative to both normal control individuals and patients with MDD, while no differences in these values were observed between the normal control and MDD groups. The Pearson correlation analyses showed significant positive correlations between ALFF in the striatum and PANSS positive score, but no significant correlation with other symptom severity in SZ and MDD.
Conclusion
These findings support the hypothesis of alterations in brain functional activity as a fundamental component of the pathogenesis of MDD and SZ. The observed differences in functional brain activity in the superior parietal cortex and striatum between MDD and SZ provide a neuroimaging basis that can contribute to the differential diagnosis of these debilitating conditions.
{"title":"Altered resting-state brain activity of the superior parietal cortex and striatum in major depressive disorder and schizophrenia","authors":"Cheng Chen , Baoli Zhang , Xucong Qin , Huan Huang , Bei Rong , Huiling Wang , Liang Zhang , Wei Yuan","doi":"10.1016/j.ajp.2024.104303","DOIUrl":"10.1016/j.ajp.2024.104303","url":null,"abstract":"<div><h3>Background</h3><div>Resting-state functional magnetic resonance imaging (fMRI) studies have shown altered brain activity in major depressive disorder (MDD) and schizophrenia (SZ). Despite differing diagnoses, SZ and MDD share similar features. However, functional brain activity similarities and differences between SZ and MDD remain unclear.</div></div><div><h3>Methods</h3><div>Participants with MDD, SZ, and normal controls (n=36 each) underwent resting-state fMRI scans. Amplitude of low-frequency fluctuations (ALFF) was used to analyze the preprocessed rs-fMRI data. One-way ANOVAs and post hoc analyses compared ALFF values in different brain regions. Pearson correlation analysis examined associations with clinical symptoms.</div></div><div><h3>Results</h3><div>Comparison among the three groups revealed significant differences in ALFF values within the left superior parietal cortex (L-SPC) and bilateral striatum. Through pairwise comparisons, patients with SZ but not patients with MDD were found to exhibit increased striatum ALFF values relative to NC individuals, but decreased in MDD. Meanwhile, L-SPC ALFF values were significantly increased in patients with SZ relative to both normal control individuals and patients with MDD, while no differences in these values were observed between the normal control and MDD groups. The Pearson correlation analyses showed significant positive correlations between ALFF in the striatum and PANSS positive score, but no significant correlation with other symptom severity in SZ and MDD.</div></div><div><h3>Conclusion</h3><div>These findings support the hypothesis of alterations in brain functional activity as a fundamental component of the pathogenesis of MDD and SZ. The observed differences in functional brain activity in the superior parietal cortex and striatum between MDD and SZ provide a neuroimaging basis that can contribute to the differential diagnosis of these debilitating conditions.</div></div>","PeriodicalId":8543,"journal":{"name":"Asian journal of psychiatry","volume":"102 ","pages":"Article 104303"},"PeriodicalIF":3.8,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142613835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-04DOI: 10.1016/j.ajp.2024.104302
Veena Ramesh, Varsha Shamanna, Harsh Pathak, Swarna Buddha Nayok, Anushree Bose, Vanteemar S. Sreeraj, Ganesan Venkatasubramanian
{"title":"Modulating neuroplasticity through synergistic ketamine and accelerated sequential theta burst stimulation (TBS) for treatment-resistant depression (TRD) – A case report","authors":"Veena Ramesh, Varsha Shamanna, Harsh Pathak, Swarna Buddha Nayok, Anushree Bose, Vanteemar S. Sreeraj, Ganesan Venkatasubramanian","doi":"10.1016/j.ajp.2024.104302","DOIUrl":"10.1016/j.ajp.2024.104302","url":null,"abstract":"","PeriodicalId":8543,"journal":{"name":"Asian journal of psychiatry","volume":"102 ","pages":"Article 104302"},"PeriodicalIF":3.8,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142592973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-31DOI: 10.1016/j.ajp.2024.104299
Harin Min , Jiwoo Park , Hyewon Yoon, Jieun Oh, Sojin Ahn, Cinoo Kang, Whanhee Lee
{"title":"Severe suicide attempts, day of the week, and holidays in South Korea: A nationwide case time series study","authors":"Harin Min , Jiwoo Park , Hyewon Yoon, Jieun Oh, Sojin Ahn, Cinoo Kang, Whanhee Lee","doi":"10.1016/j.ajp.2024.104299","DOIUrl":"10.1016/j.ajp.2024.104299","url":null,"abstract":"","PeriodicalId":8543,"journal":{"name":"Asian journal of psychiatry","volume":"102 ","pages":"Article 104299"},"PeriodicalIF":3.8,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142613850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Schizophrenia is characterized by significant dysfunction in cognitive domains. Despite its crucial role in prognosis, evaluating neurocognitive impairments is challenging in outpatient settings because of the time-consuming nature of neurocognitive assessments. SCoRS “Schizophrenia Cognition Rating Scale” is a scale that provides brief cognitive evaluation. This study aimed to establish the validity and reliability of the Turkish version of the “Schizophrenia Cognition Rating Scale” (SCoRS-TR) in patients with schizophrenia and examine the correlation between SCoRS and cognitive tests.
Methods
Data were collected from 130 patients with schizophrenia who met the DSM-5 criteria and 40 healthy controls. SCoRS rating, Positive and Negative Syndrome Scale (PANSS), and a neurocognitive test battery were administered.
Results
Findings indicated that SCoRS-TR is a reliable and valid scale for the Turkish population. The scale demonstrated strong internal consistency, with Cronbach's alpha values ranging from 0.937 to 0.940. High interrater reliability (ranging from 0.90 to 0.98) and test-retest reliability (ranging from 0.976 to 0.990) were observed. SCoRS-TR significantly discriminated patients from healthy controls (p<0.001). SCoRS-TR exhibited significant correlations to neurocognitive tests.
Discussion
Results indicated that SCoRS-TR had significant reliability and validity scores that may be useful for evaluating daily life functioning related to cognitive dysfunction in patients with schizophrenia. This approach may be useful for neurocognitive evaluation and monitoring in clinical follow-up and outpatient settings.
{"title":"Reliability and validity study of the Turkish version of the Schizophrenia Cognition Rating Scale (SCoRS-TR)","authors":"Nedim Özak , Emine Ilgın Hoşgelen , Berna Binnur Akdede , Köksal Alptekin","doi":"10.1016/j.ajp.2024.104301","DOIUrl":"10.1016/j.ajp.2024.104301","url":null,"abstract":"<div><h3>Background</h3><div>Schizophrenia is characterized by significant dysfunction in cognitive domains. Despite its crucial role in prognosis, evaluating neurocognitive impairments is challenging in outpatient settings because of the time-consuming nature of neurocognitive assessments. SCoRS “Schizophrenia Cognition Rating Scale” is a scale that provides brief cognitive evaluation. This study aimed to establish the validity and reliability of the Turkish version of the “Schizophrenia Cognition Rating Scale” (SCoRS-TR) in patients with schizophrenia and examine the correlation between SCoRS and cognitive tests.</div></div><div><h3>Methods</h3><div>Data were collected from 130 patients with schizophrenia who met the DSM-5 criteria and 40 healthy controls. SCoRS rating, Positive and Negative Syndrome Scale (PANSS), and a neurocognitive test battery were administered.</div></div><div><h3>Results</h3><div>Findings indicated that SCoRS-TR is a reliable and valid scale for the Turkish population. The scale demonstrated strong internal consistency, with Cronbach's alpha values ranging from 0.937 to 0.940. High interrater reliability (ranging from 0.90 to 0.98) and test-retest reliability (ranging from 0.976 to 0.990) were observed. SCoRS-TR significantly discriminated patients from healthy controls (p<0.001). SCoRS-TR exhibited significant correlations to neurocognitive tests.</div></div><div><h3>Discussion</h3><div>Results indicated that SCoRS-TR had significant reliability and validity scores that may be useful for evaluating daily life functioning related to cognitive dysfunction in patients with schizophrenia. This approach may be useful for neurocognitive evaluation and monitoring in clinical follow-up and outpatient settings.</div></div>","PeriodicalId":8543,"journal":{"name":"Asian journal of psychiatry","volume":"102 ","pages":"Article 104301"},"PeriodicalIF":3.8,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142613744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Schizophrenia is a complex mental disorder whose pathophysiology remains elusive, particularly in the roles of subcortex. This study aims to explore the role of subcortex and insula and their relationship with symptom changes in first-episode schizophrenia (FES) patients by utilizing machine learning algorithms and functional connectivity (FC).
Methods
The study encompasses 261 participants, sourced from two independent samples of FES patients and their matched healthy controls (HC). The discovery dataset includes 77 FES patients at baseline (FES0W) and 77 matched HCs, with the patients undergoing a follow-up scan after eight weeks of antipsychotic treatment (FES8W, N = 34). A validation dataset from another region comprises 47 FES patients and 47 matched HCs.
Results
Significant differences in subcortical FCs were observed between FES and controls, correlating with symptom severity and symptom changes. Machine learning models were developed to diagnose schizophrenia on an individual basis, achieving a balanced accuracy of 79.55 % across diverse centers.
Conclusions
These findings suggest that subcortical connectivity patterns offer potential as biomarkers for schizophrenia, enabling personalized treatment strategies and improving prognosis by facilitating early diagnosis.
{"title":"Subcortical and insula functional connectivity aberrations and clinical implications in first-episode schizophrenia","authors":"Bixin Wang, Meng Zhang, Fengmei Fan, Chunyu Yuan, Zhiren Wang, Yunlong Tan, Shuping Tan","doi":"10.1016/j.ajp.2024.104298","DOIUrl":"10.1016/j.ajp.2024.104298","url":null,"abstract":"<div><h3>Introduction</h3><div>Schizophrenia is a complex mental disorder whose pathophysiology remains elusive, particularly in the roles of subcortex. This study aims to explore the role of subcortex and insula and their relationship with symptom changes in first-episode schizophrenia (FES) patients by utilizing machine learning algorithms and functional connectivity (FC).</div></div><div><h3>Methods</h3><div>The study encompasses 261 participants, sourced from two independent samples of FES patients and their matched healthy controls (HC). The discovery dataset includes 77 FES patients at baseline (FES0W) and 77 matched HCs, with the patients undergoing a follow-up scan after eight weeks of antipsychotic treatment (FES8W, N = 34). A validation dataset from another region comprises 47 FES patients and 47 matched HCs.</div></div><div><h3>Results</h3><div>Significant differences in subcortical FCs were observed between FES and controls, correlating with symptom severity and symptom changes. Machine learning models were developed to diagnose schizophrenia on an individual basis, achieving a balanced accuracy of 79.55 % across diverse centers.</div></div><div><h3>Conclusions</h3><div>These findings suggest that subcortical connectivity patterns offer potential as biomarkers for schizophrenia, enabling personalized treatment strategies and improving prognosis by facilitating early diagnosis.</div></div>","PeriodicalId":8543,"journal":{"name":"Asian journal of psychiatry","volume":"103 ","pages":"Article 104298"},"PeriodicalIF":3.8,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}