Subcortical volumetric alterations in four major psychiatric disorders: a mega-analysis study of 5604 subjects and a volumetric data-driven approach for classification.

Differential diagnosis is sometimes difficult in practical psychiatric settings, in terms of using the current diagnostic system based on presenting symptoms and signs. The creation of a novel diagnostic system using objective biomarkers is expected to take place. Neuroimaging studies and others reported that subcortical brain structures are the hubs for various psycho-behavioral functions, while there are so far no neuroimaging data-driven clinical criteria overcoming limitations of the current diagnostic system, which would reflect cognitive/social functioning. Prior to the main analysis, we conducted a large-scale multisite study of subcortical volumetric and lateralization alterations in schizophrenia, bipolar disorder, major depressive disorder, and autism spectrum disorder using T1-weighted images of 5604 subjects (3078 controls and 2526 patients). We demonstrated larger lateral ventricles volume in schizophrenia, bipolar disorder, and major depressive disorder, smaller hippocampus volume in schizophrenia and bipolar disorder, and schizophrenia-specific smaller amygdala, thalamus, and accumbens volumes and larger caudate, putamen, and pallidum volumes. In addition, we observed a leftward alteration of lateralization for pallidum volume specifically in schizophrenia. Moreover, as our main objective, we clustered the 5,604 subjects based on subcortical volumes, and explored whether data-driven clustering results can explain cognitive/social functioning in the subcohorts. We showed a four-biotype classification, namely extremely (Brain Biotype [BB] 1) and moderately smaller limbic regions (BB2), larger basal ganglia (BB3), and normal volumes (BB4), being associated with cognitive/social functioning. Specifically, BB1 and BB2-3 were associated with severe and mild cognitive/social impairment, respectively, while BB4 was characterized by normal cognitive/social functioning. Our results may lead to the future creation of novel biological data-driven psychiatric diagnostic criteria, which may be expected to be useful for prediction or therapeutic selection.

Cerebral cortical structural alteration patterns across four major psychiatric disorders in 5549 individuals.

According to the operational diagnostic criteria, psychiatric disorders such as schizophrenia (SZ), bipolar disorder (BD), major depressive disorder (MDD), and autism spectrum disorder (ASD) are classified based on symptoms. While its cluster of symptoms defines each of these psychiatric disorders, there is also an overlap in symptoms between the disorders. We hypothesized that there are also similarities and differences in cortical structural neuroimaging features among these psychiatric disorders. T1-weighted magnetic resonance imaging scans were performed for 5,549 subjects recruited from 14 sites. Effect sizes were determined using a linear regression model within each protocol, and these effect sizes were meta-analyzed. The similarity of the differences in cortical thickness and surface area of each disorder group was calculated using cosine similarity, which was calculated from the effect sizes of each cortical regions. The thinnest cortex was found in SZ, followed by BD and MDD. The cosine similarity values between disorders were 0.943 for SZ and BD, 0.959 for SZ and MDD, and 0.943 for BD and MDD, which indicated that a common pattern of cortical thickness alterations was found among SZ, BD, and MDD. Additionally, a generally smaller cortical surface area was found in SZ and MDD than in BD, and the effect was larger in SZ. The cosine similarity values between disorders were 0.945 for SZ and MDD, 0.867 for SZ and ASD, and 0.811 for MDD and ASD, which indicated a common pattern of cortical surface area alterations among SZ, MDD, and ASD. Patterns of alterations in cortical thickness and surface area were revealed in the four major psychiatric disorders. To our knowledge, this is the first report of a cross-disorder analysis conducted on four major psychiatric disorders. Cross-disorder brain imaging research can help to advance our understanding of the pathogenesis of psychiatric disorders and common symptoms.

Quantification of the Plasma Concentration of Vadadustat by High-Performance Liquid Chromatography with Ultraviolet Detection and Ultra-Performance Liquid Chromatography-Tandem Mass Spectrometry.

BACKGROUND: An inexpensive, simple, and accurate plasma concentration measurement system is needed to actively conduct pharmacokinetic and pharmacodynamic analyses of vadadustat, hypoxia-inducible factor-prolyl hydroxylase inhibitor, in clinical settings. In this study, the authors aimed to develop a method for measuring vadadustat in human plasma that could be applied for therapeutic drug monitoring using high-performance liquid chromatography with ultraviolet detection (HPLC-UV) in a clinical setting. METHODS: Plasma samples (100 µL) were pretreated with acetonitrile using butyl paraoxybenzoate as an internal standard. Chromatographic separation was performed on a SunShell PFP C18 column (2.6 µm, 4.6 mm × 150 mm). The mobile phase consisted of (A) 20 mM of phosphate buffer (pH 2.4) and (B) acetonitrile (60:40, v/v), delivered isocratically at a flow rate of 1 mL/min. The analytes were detected by UV absorbance at a wavelength of 220 nm, and the column temperature was 40°C. To evaluate the applicability of HPLC-UV in a clinical setting, blood samples were collected at 19 time points from 7 patients who had been taking vadadustat. RESULTS: The calibration curve was linear over the concentration range of 0.2-150 mcg/mL (R2 > 0.99). Intra-assay and interassay accuracy, precision, and stability met the Food and Drug Administration recommendations. The vadadustat plasma concentrations of patients analyzed using the current HPLC-UV method were almost equal to those measured using ultra-performance liquid chromatography-tandem mass spectrometry (mean difference: 0.13 mcg/mL). Large variability in the dose-adjusted plasma concentrations of vadadustat at 12 hours after administration was observed between patients (coefficient of variation = 57.6%). CONCLUSIONS: This HPLC-UV method is a simple, accurate quantification method for evaluating plasma concentrations in patients taking vadadustat in a clinical setting.

Relationship between Value-Based Behaviors and Scheduled Activities of University Students before and during the COVID-19 Pandemic: A Longitudinal Cross-Lagged Model.

University students are in a phase during which they have various experiences typical in the academic environment and face situations that require adaptability and influence value formation. In the abnormal situation of the COVID-19 pandemic, university students' life rhythms, academic, interpersonal, and financial situations have changed drastically. In those situational cues, the value-based behavior of university students may have changed. Values provide purpose and direction for each action. Furthermore, values are situational goals that lead to specific real-time behavior. Therefore, this study aimed to examine whether there is a two-way influencing relationship between value-based behavior and scheduled activities of university students at two points in time (before the COVID-19 pandemic and during the COVID-19 pandemic). 417 university students answered a questionnaire at Times 1 and 2 (with a 1-year interval). We examined the relationship between value-based behavior and scheduled activities using a longitudinal cross-lagged model analysis. The findings of this study indicate that promoting value-based behaviors is positively associated with the frequency of value-based behaviors and scheduled activities even during anomalies such as the COVID-19 pandemic. Even in anomalous situations such as the COVID-19 pandemic, increasing value-based behaviors such as behavioral activation can improve the lives of university students. Future intervention studies should show whether behavioral activation is effective in decreasing depressive symptoms among university students even in abnormal situations such as the COVID-19 pandemic.

Validation of a Behavioral Activation Model Including Self-Compassion: A Longitudinal Study at Three Time Points.

INTRODUCTION: Depression is highly prevalent among university students. While behavioral activation has been shown to be an effective psychotherapy for depression, there is a lack of research regarding the behavioral activation mechanism. Furthermore, although self-compassion seems to be a factor in promoting behavioral activation, no studies have attempted to validate a behavioral activation model that includes positive self-compassion. In addition, mechanistic studies have lacked consideration in longitudinal studies of behavioral activation. Thus, in this longitudinal study, we constructed and validated an exploratory model of behavioral activation. METHODS: A total of 300 undergraduate students completed online surveys in 2019, 2020, and 2021. We examined the longitudinal effects of five factors (value-based behavior, goal-oriented and scheduled activities, positive reinforcement, self-compassion, and depressive symptoms) using structural equation modeling based on maximum likelihood estimation using bootstrapping. RESULTS: The exploratory model was found to be valid and to have a good fit with the data. The results indicate that value-based behaviors increase the frequency of goal-oriented and scheduled activities, which in turn increases the frequency of positive reinforcement in everyday life. Additionally, when self-compassion, value-based behavior, goal-oriented and scheduled activities, and positive reinforcement are considered together, self-compassion may be indirectly related to activation via value-based behavior. CONCLUSION: From the perspective of preventing depressive symptoms, it is important to increase the frequency of value-based activities. Furthermore, adding self-compassion is effective in behavioral activation to increase value-based activities. However, to address the limitations of this study, future studies should investigate the relationship among behavioral characteristics during interventions.

Association of Statin Adherence With the Development of Nonalcoholic Fatty Liver Disease: A Nested Case-Control Study Using a Japanese Claims Database.

BACKGROUND: Statins are expected to have beneficial effects on nonalcoholic fatty liver disease (NAFLD); however, evidence remains insufficient. OBJECTIVE: In this study, we aim to investigate the association between statin adherence and NAFLD development. METHODS: We conducted a nested case-control study of statin users using the Japan Medical Data Center administrative claims database (January 2005 to January 2020). Individuals who developed NAFLD were designated as cases. For each case, we randomly selected a maximum of 10 controls using risk set sampling. Good adherence was defined as the proportion of days covered (PDC) of ≥0.80. Higher intensity was defined as the median or higher of a cumulative defined daily dose (cDDD) per day covered by statin prescription. Conditional logistic regression analysis was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs). RESULTS: In this study, 253 383 patients with the first statin prescription were identified. Of them, 7080 were selected and matched to 70 734 controls. The medians of PDC and intensity were 0.88 (interquartile range [IQR], 0.61-0.96) and 0.32 (IQR, 0.25-0.50) cDDD/day, respectively. Good adherence was significantly associated with a reduced risk of NAFLD development (adjusted OR, 0.82; 95% CI, 0.78-0.86). Higher intensity was not significantly associated with a reduced risk of NAFLD development (adjusted OR, 1.02; 95% CI, 0.97-1.08). CONCLUSION AND RELEVANCE: Good adherence to statins is associated with a reduced risk of NAFLD development, regardless of the statin intensity. Appropriate statin therapy could reduce the risk of NAFLD development.

Trends in tolvaptan prescription and the association between hypernatremia and aging in tolvaptan-treated patients in Japan: Real-world data mining using Japanese databases.

OBJECTIVE: To identify the trends in tolvaptan prescription and the association between aging and tolvaptan-induced hypernatremia. MATERIALS AND METHODS: A health insurance claims database and a spontaneous adverse drug reaction database were used. RESULTS: Of all patients who had been prescribed tolvaptan, the proportion of patients aged 60 - 79 years and ≥ 80 years was consistent at ~ 40%. Moreover, the prescription frequency of tolvaptan increased over time for patients in the same age groups. The adjusted reporting odds ratio of tolvaptan-induced hypernatremia was 5.54 (95% confidence interval, 3.31 - 9.25) in patients aged ≥ 60 years from among all patients and 2.09 (95% confidence interval, 1.59 - 2.75) in those aged ≥ 80 years from among those aged ≥ 60 years. CONCLUSION: It may be necessary to be aware of hypernatremia in elderly patients who are expected to have increased prescriptions of tolvaptan.

Association between hemorrhage and direct oral anticoagulants in combination with verapamil: Analysis of Japanese Adverse Drug Event Report database and electronic medical record data.

OBJECTIVE: The aim of this study was to investigate the risk of hemorrhage in concomitant therapy with direct oral anticoagulants (DOACs) and class IV antiarrhythmic drugs. MATERIALS AND METHODS: First, disproportionality analysis (DPA) was performed using the Japanese Adverse Drug Event Report (JADER) database to investigate the risk of hemorrhage with DOACs. Second, a cohort study was performed using electronic medical record data to confirm the results of the JADER analysis. RESULTS: In the JADER analysis, hemorrhage was significantly associated with treatment with edoxaban and verapamil (reporting odds ratio = 1.66; 95% confidence interval (CI) = 1.04 - 2.67). The cohort study revealed that hemorrhage incidence significantly differed between the verapamil-treated group and the bepridil-treated group, with a higher risk for hemorrhage in the verapamil group (log-rank test: p < 0.001). The multivariate Cox proportional hazards model also showed that the verapamil and DOAC combination was significantly associated with hemorrhage events compared with the bepridil and DOAC combination (hazard ratio (HR): 2.87, 95% CI: 1.17 - 7.07, p = 0.022). Furthermore, creatinine clearance (Ccr) ≥ 50 mL/min was significantly associated with hemorrhage events (HR: 2.72, 95% CI: 1.03 - 7.18, p = 0.043), and verapamil was significantly associated with hemorrhage in patients with Ccr ≥ 50 mL/min (HR: 3.58, 95% CI: 1.36 - 9.39, p = 0.010) but not in patients with Ccr < 50 mL/min. CONCLUSION: Verapamil increases the risk of hemorrhage in patients on DOACs. Dose adjustment of DOACs based on renal function may prevent hemorrhage when verapamil is concomitantly administered.

Association between sodium-glucose cotransporter 2 inhibitors and pancreatic cancer in the Japanese working-age population.

OBJECTIVE: Pancreatic cancer-related mortality is increasing worldwide, and prevention methods and effective novel therapies are required. In pancreatic cancer, sodium-glucose cotransporters (SGLT) are involved in glucose uptake. This study aimed to clarify the association between SGLT2 inhibitors and pancreatic cancer development. MATERIALS AND METHODS: A nested case-control study was conducted using the JMDC administrative claims database (January 2005 to June 2020). Patients newly diagnosed with type 2 diabetes mellitus (T2DM) were included, and cases were defined as patients who developed pancreatic cancer. Patients with outcomes were randomly matched to a maximum of 20 controls according to age (± 5 years), sex, and calendar date (month and year) of the first T2DM diagnosis through risk set sampling. RESULTS: Of the 181,107 T2DM patients, 363 cases and 7,043 controls were selected with 14 and 457 patients prescribed SGLT2 inhibitors, respectively. Cumulative administration of SGLT2 inhibitors for > 180 days was significantly inversely associated with the development of pancreatic cancer (adjusted odds ratio: 0.58, 95% confidence interval: 0.31 - 0.99). CONCLUSION: SGLT2 inhibitors may reduce the risk of developing pancreatic cancer in T2DM patients. The number of patients over 65 years of age was small in this study due to the nature of the data source. Further studies with larger sample sizes including older patients are needed.

Day-to-day regularity and diurnal switching of physical activity reduce depression-related behaviors: a time-series analysis of wearable device data.

BACKGROUND: Wearable devices have been widely used in research to understand the relationship between habitual physical activity and mental health in the real world. However, little attention has been paid to the temporal variability in continuous physical activity patterns measured by these devices. Therefore, we analyzed time-series patterns of physical activity intensity measured by a wearable device and investigated the relationship between its model parameters and depression-related behaviors. METHODS: Sixty-six individuals used the wearable device for one week and then answered a questionnaire on depression-related behaviors. A seasonal autoregressive integral moving average (SARIMA) model was fitted to the individual-level device data and the best individual model parameters were estimated via a grid search. RESULTS: Out of 64 hyper-parameter combinations, 21 models were selected as optimal, and the models with a larger number of affiliations were found to have no seasonal autoregressive parameter. Conversely, about half of the optimal models indicated that physical activity on any given day fluctuated due to the previous day's activity. In addition, both irregular rhythms in day-to-day activity and low-level of diurnal variability could lead to avoidant behavior patterns. CONCLUSION: Automatic and objective physical activity data from wearable devices showed that diurnal switching of physical activity, as well as day-to-day regularity rhythms, reduced depression-related behaviors. These time-series parameters may be useful for detecting behavioral issues that lie outside individuals' subjective awareness.

Distinctive alterations in the mesocorticolimbic circuits in various psychiatric disorders.

AIM: Increasing evidence suggests that psychiatric disorders are linked to alterations in the mesocorticolimbic dopamine-related circuits. However, the common and disease-specific alterations remain to be examined in schizophrenia (SCZ), major depressive disorder (MDD), and autism spectrum disorder (ASD). Thus, this study aimed to examine common and disease-specific features related to mesocorticolimbic circuits. METHODS: This study included 555 participants from four institutes with five scanners: 140 individuals with SCZ (45.0% female), 127 individuals with MDD (44.9%), 119 individuals with ASD (15.1%), and 169 healthy controls (HC) (34.9%). All participants underwent resting-state functional magnetic resonance imaging. A parametric empirical Bayes approach was adopted to compare estimated effective connectivity among groups. Intrinsic effective connectivity focusing on the mesocorticolimbic dopamine-related circuits including the ventral tegmental area (VTA), shell and core parts of the nucleus accumbens (NAc), and medial prefrontal cortex (mPFC) were examined using a dynamic causal modeling analysis across these psychiatric disorders. RESULTS: The excitatory shell-to-core connectivity was greater in all patients than in the HC group. The inhibitory shell-to-VTA and shell-to-mPFC connectivities were greater in the ASD group than in the HC, MDD, and SCZ groups. Furthermore, the VTA-to-core and VTA-to-shell connectivities were excitatory in the ASD group, while those connections were inhibitory in the HC, MDD, and SCZ groups. CONCLUSION: Impaired signaling in the mesocorticolimbic dopamine-related circuits could be an underlying neuropathogenesis of various psychiatric disorders. These findings will improve the understanding of unique neural alternations of each disorder and will facilitate identification of effective therapeutic targets.

Treatment strategy of oxaliplatin-induced peripheral neuropathy: a retrospective, nationwide study.

PURPOSE: Chemotherapy-induced peripheral neuropathy (CIPN) is a common adverse event of cancer treatment; however, no drug is recommended for the prevention of CIPN. In Japan, several drugs such as Gosha-Jinki-Gan and duloxetine are frequently administered as a treatment for CIPN. The aim of this study was to elucidate prescription patterns of drugs administered for CIPN caused by oxaliplatin and the association between these drugs and the duration of oxaliplatin treatment. METHODS: We conducted a retrospective nationwide study using the JMDC administrative claims database (January 2005-June 2020; JMDC Inc., Japan). Patients newly treated with oxaliplatin were identified, and prescription patterns of CIPN medication including Gosha-Jinki-Gan, pregabalin, duloxetine, mecobalamin, and mirogabalin were investigated. The primary outcome was the duration of oxaliplatin treatment. Multivariable logistic regression analysis was performed to examine the association between CIPN medication and duration of oxaliplatin treatment. RESULTS: A total of 4,739 patients who newly received oxaliplatin were identified. Of these, 759 (16.0%) had received CIPN medication. Duloxetine was administered in 99 (2.1%) patients. Multivariable logistic regression analysis revealed that CIPN medication was significantly associated with the prolonged duration of oxaliplatin treatment (odds ratio: 2.35, [95% confidence interval: 1.99-2.77]). CONCLUSION: Real-world data demonstrated that the administration rate of CIPN medication was higher in patients who received oxaliplatin treatment for over 6 months.

Effect of mammalian-target-of-rapamycin inhibitors on the cancer risk in patients receiving calcineurin inhibitors: Data mining of a spontaneous reporting database.

OBJECTIVE: Calcineurin inhibitors (CNIs), including cyclosporine and tacrolimus, are associated with an increased cancer risk. However, whether mammalian target of rapamycin inhibitors (mTORis), including sirolimus and everolimus, decrease the cancer risk in patients receiving CNIs remains uncertain. We aimed to determine whether mTORis are associated with a decreased cancer risk in patients receiving CNIs using data mining of a spontaneous adverse reaction database. MATERIALS AND METHODS: Disproportionality analysis was conducted using the U.S. Food and Drug Administration Adverse Event Reporting System database (2004 - 2019) with reporting odds ratio and information component being used to indicate a signal. RESULTS: Data subset analyses indicated that sirolimus and everolimus were not associated with a decreased cancer risk in patients receiving cyclosporine or tacrolimus but were associated with an increased risk of nonmelanoma skin cancer (NMSC) and Kaposi's sarcoma. CONCLUSION: mTORis are not associated with a decreased cancer risk but are associated with a further increase in the risk of NMSC and Kaposi's sarcoma in patients receiving CNIs. Further studies are necessary to clarify the mechanism underlying the association between mTORis and NMSC or Kaposi's sarcoma.

Impact of trimethoprim on serum creatinine, sodium, and potassium concentrations in patients taking trimethoprim-sulfamethoxazole without changes in glomerular filtration rate.

WHAT IS KNOWN AND OBJECTIVE: Trimethoprim (TMP) inhibits the Na+ /K+ -ATPase present in the basement membrane of distal tubular epithelial cells. However, hyponatremia and hyperkalemia may develop in patients taking TMP-sulfamethoxazole (SMX). In addition, because TMP inhibits drug transporters, such as organic cation transporter 2 and multidrug and toxin extrusion protein 2-K in proximal tubules, reversible increases in the concentration of serum creatinine (SCr), the substrate of these transporters, may occur. Here, we investigated variability in SCr, serum sodium (Na+ ), and serum potassium (K+ ) concentrations after initiation of TMP-SMX treatment and evaluated the risk of hyponatremia and hyperkalemia in patients with increased SCr concentrations without changes in the glomerular filtration rate (GFR). METHODS: In this retrospective study, all patients aged 20 years or older who received oral TMP-SMX during hospitalization were enrolled. The patients with estimated creatinine (Cr) clearance (eCCr) lower than 30 mL/min were excluded, as were patients taking drugs that were likely to induce renal dysfunction, drugs other than glucocorticoids that were likely to induce electrolyte imbalances, or drugs other than TMP that inhibit tubular Cr secretion. Additionally, those with SCr concentrations elevated more than 30% from baseline or serum blood urea nitrogen concentration levels above 20 mg/dL during follow-up were also excluded. RESULTS AND DISCUSSION: In total, 111 patients were enrolled in the study. The common independent variable affecting the change rate in SCr, Na+ , and K+ concentrations (ΔSCr, ΔNa+ , and ΔK+ ) from baseline to the highest value during the follow-up period (14 days after initiation of TMP-SMX treatment) was the daily dose of TMP. There were significant correlations between ΔSCr and ΔNa+ or ΔK+ (ρ = -0.199, p = 0.036 and ρ = 0.244, p = 0.010, respectively). Kaplan-Meier curves for hyponatremia and hyperkalemia with greater than or equal to grade 1 severity showed different profiles when the TMP dose varied (≤ 160 vs. > 160 mg/day; p = 0.005 and 0.008). The cumulative incidences of both adverse effects were 64.7% (median: 7 days) and 29.4% in patients taking more than 160 mg/day TMP and 35.2% and 6.7% in patients taking 160 mg/day TMP or less. Thus, TMP may affect the kinetics of Cr, Na+ , and K+ in the proximal and distal tubules in a dose-dependent without changing the GFR. WHAT IS NEW AND CONCLUSION: This study is the first report to demonstrate the degree of changes in SCr, Na+ , and K+ concentrations after initiation of TMP-SMX treatment. If SCr is elevated after initiation of TMP-SMX treatment, clinicians should be aware of decreased Na+ and increased K+ concentrations. TMP may increase the risks of hyponatremia and hyperkalemia in a dose-dependent manner without altering GFR.

Left DLPFC activity is associated with plasma kynurenine levels and can predict treatment response to escitalopram in major depressive disorder.

AIM: To establish treatment response biomarkers that reflect the pathophysiology of depression, it is important to use an integrated set of features. This study aimed to determine the relationship between regional brain activity at rest and blood metabolites related to treatment response to escitalopram to identify the characteristics of depression that respond to treatment. METHODS: Blood metabolite levels and resting-state brain activity were measured in patients with moderate to severe depression (n = 65) before and after 6-8 weeks of treatment with escitalopram, and these were compared between Responders and Nonresponders to treatment. We then examined the relationship between blood metabolites and brain activity related to treatment responsiveness in patients and healthy controls (n = 36). RESULTS: Thirty-two patients (49.2%) showed a clinical response (>50% reduction in the Hamilton Rating Scale for Depression score) and were classified as Responders, and the remaining 33 patients were classified as Nonresponders. The pretreatment fractional amplitude of low-frequency fluctuation (fALFF) value of the left dorsolateral prefrontal cortex (DLPFC) and plasma kynurenine levels were lower in Responders, and the rate of increase of both after treatment was correlated with an improvement in symptoms. Moreover, the fALFF value of the left DLPFC was significantly correlated with plasma kynurenine levels in pretreatment patients with depression and healthy controls. CONCLUSION: Decreased resting-state regional activity of the left DLPFC and decreased plasma kynurenine levels may predict treatment response to escitalopram, suggesting that it may be involved in the pathophysiology of major depressive disorder in response to escitalopram treatment.

Brain changes associated with impaired attention function in chronic pain.

Attention function is thought to be important in chronic pain, with the pathology of chronic pain closely associated with cognitive-emotional components. However, there have been few neuroimaging studies of the relationship between attention function and chronic pain. We used the method of functional connectivity analysis for resting-state fMRI (rs-fMRI) data and the Attention Network Test-Revision (ANT-R) to clarify the attention-related pathology of chronic pain. We performed rs-fMRI and ANT-R on a group of 26 chronic pain (somatoform pain disorder) patients and 28 age-matched healthy controls. A significant group difference in validity effects, a component of ANT-R, emerged (F1,46 = 5.91, p = 0.019), and the chronic pain group exhibited slower reaction times. Decreased brain connectivity of the left insula and left frontal regions was confirmed in chronic pain patients (pFWE < 0.05), and connectivity was negatively correlated with validity effects (r = -0.29, permutation test p = 0.033). Further, decreased functional connectivity strength of the right insula and left temporal gyrus in the chronic pain group were confirmed (pFWE < 0.05). We conclude that poor control of attention function results from deficits of functional connectivity in the left insula and left frontal regions in chronic pain.

Polypharmacy Is Associated With Amiodarone-Induced Hypothyroidism.

Background: Amiodarone is rich in iodine, so in clinical practice amiodarone-induced hypothyroidism (AIH) is a major side effect. This drug is used in patients with arrhythmias, especially atrial fibrillation, the most common sustained arrhythmia. Polypharmacy, which can result in complex drug-drug interactions, occurs in more than 70% of the patients with atrial fibrillation. Therefore, polypharmacy may be involved in the expression of AIH. In this study, we investigated the association between polypharmacy and AIH. Methods: We conducted a retrospective study using data from January 2006 to May 2020 collected from a large, organized database of prescriptions constructed by the Japan Medical Information Research Institute, Inc. (Tokyo, Japan). To investigate the association between number of prescribed drugs with amiodarone and AIH, we divided patients into two groups: polypharmacy (≥ 5 prescribed drugs) and non-polypharmacy (< 5 prescribed drugs). We then performed a sequence symmetry analysis on the two groups: incident thyroxine after incident amiodarone and incident thyroxine before incident amiodarone. Finally, we conducted a case-control study on two further groups: those prescribed thyroxine after incident amiodarone (AIH group; n=555) and those not prescribed thyroxine after incident amiodarone (non-AIH group; n=6,192). Results: Sequence symmetry analysis revealed a significant association between amiodarone and thyroxine in both the polypharmacy and non-polypharmacy groups. The ranges for the adjusted sequence ratio in the two groups were 12.0-16.7 and 7.3-9.0, respectively. The case-control study showed that ≥5 prescribed drugs at the first prescription of amiodarone were found to significantly increase the odds of AIH (odds ratio: 1.48, 95% confidence interval: 1.18-1.84). Conclusion: Polypharmacy was suggested as an independent risk factor for AIH. Careful assessment of the appropriateness of prescription is warranted.

Relationship between polypharmacy and adverse events.

A retrospective data analysis was performed to investigate the association between polypharmacy and adverse events using three different spontaneous adverse event reporting system databases. Multivariate logistic regression analyses were performed to investigate the association between the number of drugs and adverse events, including hepatic disorders, renal disorders, hypersensitivity, and extrapyramidal syndrome. The results showed that the risk of hepatic and renal disorders increased with the number of drugs. Thus, decreasing the number of drugs may reduce the risk of hepatic and renal disorders. Furthermore, attention should be given to specific drugs that may cause hypersensitivity and extrapyramidal syndrome.

Relationship between serum bepridil concentration and corrected QT interval.

OBJECTIVE: Bepridil prolongs the QT interval and can induce torsade de pointes. Although increased bepridil concentration may be a primary cause of prolonged QT, the relationship between serum bepridil concentration and prolonged QT remains unclear. We investigated the relationship between serum bepridil concentration and the corrected QT (QTc) interval in patients treated with bepridil. MATERIALS AND METHODS: A retrospective study was performed at the National Cerebral and Cardiovascular Center in Japan. Patients with atrial fibrillation who were treated with bepridil from January 2014 to December 2015 were enrolled in the study. Serum bepridil concentrations and electrocardiogram data collected more than 21 days after the initiation of bepridil were used for analysis. RESULTS: A total of 60 patients were included in this study. There was a significant difference in mean QTc interval before and after initiation of bepridil (p < 0.0001). A significant relationship was observed between bepridil dose (p = 0.014) or serum bepridil concentration (p < 0.001) and QTc interval. Additionally, a significant relationship was observed between serum bepridil concentration and ΔQTc (p = 0.034). In the study, 4 patients developed QTc prolongation ≥ 500 ms after the initiation of bepridil. Serum bepridil concentration in this group was significantly higher compared with the group that did not display prolonged QTc (973 ± 651 vs. 526 ± 310 ng/mL, p = 0.01). CONCLUSION: This study revealed that the QTc interval was significantly associated with serum bepridil concentration. Serum bepridil concentration beyond a therapeutic range may be a critical risk factor for developing QTc prolongation.

Age-related white matter changes revealed by a whole-brain fiber-tracking method in bipolar disorder compared to major depressive disorder and healthy controls.

AIM: Several studies have reported altered age-associated changes in white matter integrity in bipolar disorder (BD). However, little is known as to whether these age-related changes are illness-specific. We assessed disease-specific effects by controlling for age and investigated age-associated changes and Group × Age interactions in white matter integrity among major depressive disorder (MDD) patients, BD patients, and healthy controls. METHODS: Healthy controls (n = 96; age range, 20-77 years), MDD patients (n = 101; age range, 25-78 years), and BD patients (n = 58; age range, 22-76 years) participated in this study. Fractional anisotropy (FA) derived from diffusion tensor imaging in 54 white matter tracts were compared after controlling for the linear and quadratic effect of age using a generalized linear model. Age-related effects and Age × Group interactions were also assessed in the model. RESULTS: The main effect of group was significant in the left column and body of the fornix after controlling for both linear and quadratic effects of age, and in the left body of the corpus callosum after controlling for the quadratic effect of age. BD patients exhibited significantly lower FA relative to other groups. There was no Age × Group interaction in the tracts. CONCLUSION: Significant FA reductions were found in BD patients after controlling for age, indicating that abnormal white matter integrity in BD may occur at a younger age rather than developing progressively with age.