sj-doc-1-anp-10.1177_00048674211046891 – Supplemental material for Prevalence and 5-year trend of incidence for medical illnesses after the diagnosis of bipolar disorder: A nationwide cohort study

Supplemental material, sj-doc-1-anp-10.1177_00048674211046891 for Prevalence and 5-year trend of incidence for medical illnesses after the diagnosis of bipolar disorder: A nationwide cohort study by Pao-Huan Chen, Shang-Ying Tsai, Chun-Hung Pan, Yi-Lung Chen, Sheng-Siang Su, Chiao-Chicy Chen and Chian-Jue Kuo in Australian & New Zealand Journal of Psychiatry</p

sj-doc-1-anp-10.1177_00048674211062532 – Supplemental material for Cardioprotective potential of lithium and role of fractalkine in euthymic patients with bipolar disorder

Supplemental material, sj-doc-1-anp-10.1177_00048674211062532 for Cardioprotective potential of lithium and role of fractalkine in euthymic patients with bipolar disorder by Pao-Huan Chen, Cheng-Yi Hsiao, Shuo-Ju Chiang, Ruei-Siang Shen, Yen-Kuang Lin, Kuo-Hsuan Chung and Shang-Ying Tsai in Australian & New Zealand Journal of Psychiatry</p

Increased medical utilization and psychiatric comorbidity following a new diagnosis of methamphetamine use disorder

Background: Evidence of patterns of medical utilization and distribution of comorbidities among individuals using methamphetamine remains limited Objective: This study aims to investigate changes in medical utilization and comorbidities before and after a diagnosis of methamphetamine use disorder. Methods: A total of 3321 cases (79% were male) of methamphetamine use disorder between January 1, 1996, and December 31, 2012, were identified from Psychiatric Inpatient Medical Claims database in Taiwan. Information was collected on demographics, diagnoses, and medical utilizations. The date of newly diagnosed with methamphetamine use disorder was defined as the baseline. Mirror-image study design was used to compare changes in medical utilization and comorbidities between the pre-baseline period (within 1 year before diagnosis) and the post-baseline period (within 1 year after diagnosis). Conditional logistic regression was used to estimate changes in medical utilization and comorbidities. Results: Most cases (77%) were first identified in a psychiatric department. There is a significant increase (P P Conclusions: We found significant increases of medical utilization and psychiatric comorbidities after diagnosed with methamphetamine use disorder. These findings may reflect the problem of delayed diagnosis and treatment. Enhancement of early identification of methamphetamine use disorder in general practice is required for early intervention and decreased subsequent morbidities.</p

sj-docx-1-anp-10.1177_00048674221100153 – Supplemental material for Incidence of and risk factors for alcohol dependence in bipolar disorder: A population-based cohort and nested case–control study

Supplemental material, sj-docx-1-anp-10.1177_00048674221100153 for Incidence of and risk factors for alcohol dependence in bipolar disorder: A population-based cohort and nested case–control study by Haw-En Hsu, Po-Yu Chen, Hu-Ming Chang, Chun-Hung Pan, Sheng-Shiang Su, Shang-Ying Tsai, Chiao-Chicy Chen and Chian-Jue Kuo in Australian & New Zealand Journal of Psychiatry</p

Cox proportional hazards regression of risk factors at the latest admission for natural death based on AST and ALT (N = 1,254).

<p>HBsAg: hepatitis B surface antigen;</p>a<p>Adjusted for gender, age, hepatitis B surface antigen, antipsychotic drug use, and alcohol use disorder.</p><p>*<i>p</i><0.05,</p><p>**<i>p</i><0.01,</p><p>***<i>p</i><0.001.</p>+<p>missing values: 187,</p>++<p>missing values: 194,</p>+++<p>missing values: 273.</p

Socio-demographic characteristics of natural death and living controls (1∶4 ratio) among patients with methamphetamine dependence at the index admission.

<p>*Matched by design.</p

Clinical characteristics of patients with methamphetamine dependence dying from natural causes and living controls with methamphetamine dependence at the index admission and the latest admission using univariate conditional logistic regression.

a<p>Only variables at latest admission with <i>p</i><0.05 based on univariate conditional logistic regression and hepatitis B surface antigen are included.</p><p>*<i>p</i><0.05,</p><p>**<i>p</i><0.01,</p><p>***<i>p</i><0.001.</p

Stacked bar chart of the distributions (%) of aspartate (AST) and alanine (ALT) aminotransferase levels at the latest hospital admission among the cases of natural death and the remaining non-cases of the original cohort, respectively.

<p>Stacked bar chart of the distributions (%) of aspartate (AST) and alanine (ALT) aminotransferase levels at the latest hospital admission among the cases of natural death and the remaining non-cases of the original cohort, respectively.</p

Multivariable conditional logistic regression of the factors at the latest admission associated with natural death based on AST and ALT respectively (45 deceased patients, 167 living controls).

<p>*<i>p</i><0.05,</p><p>**<i>p</i><0.01,</p><p>***<i>p</i><0.001.</p