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Background During the COVID-19 pandemic, nurses might experience added emotional stress. This study examined the relationship between gratitude and psychological stress to explore effective psychological support among nurses. Methods A cross-sectional survey assessed the level of psychological distress in 646 nurses in Gwangju, South Korea, using the Perceived Stress Scale-10 (PSS-10), Gratitude Questionnaire-6 (K-GQ-6), Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder-7 (GAD-7), and Maslach Burnout Inventory-General Survey (MBI-GS). Sociodemographic factors and COVID-19-related experiences were also examined. A linear regression model was used to determine the factors influencing perceived stress. Results The mean PSS-10 score was 19.0 ± 4.4. Linear regression analyses revealed that the MBI-GS-Exhaustion, PHQ-9, and GAD-7 scores were positively associated with perceived stress, while the MBI-GS-Professional efficacy score was inversely associated with perceived stress. Gratitude disposition using the K-GQ-6 score negatively predicted PSS-10 (β = 0.829, p Conclusions Psychological interventions that help cultivate gratitude and professional efficacy among nurses can help promote stress resilience throughout the course of the COVID-19 pandemic.

Supplemental digital content is available in the text., Objectives We examined relationships between nurses’ work system, safety-related performance, and outcomes based on a modified Systems Engineering Initiative for Patient Safety model. Methods A cross-sectional survey was conducted with 408 nurses from 2 general hospitals. Data on work system factors (person, organization, environment, tools, and task), processes (safety-related performance), and outcomes (staff and clinical outcomes) were collected. Structural equation modeling was used to determine the relationships between nurses’ work system factors, safety-related processes, and outcomes. Results Structural equation modeling yielded a comparative fit index of 0.918, standardized root mean square residual of 0.055, and root mean square error of approximation of 0.054, indicating an acceptable model fit. The person factor had a significant positive direct effect on nurses’ safety-related performance, and significant negative direct and indirect effects on the clinical outcome. The organization factor had significant positive direct effects on nurses’ safety-related performance and staff outcome, and a negative indirect effect on the clinical outcome. The task factor had a significant positive direct effect on staff outcome. However, the environment and tools factors had no significant effects on safety-related performance or outcomes. Conclusions The findings demonstrated the usefulness of the Systems Engineering Initiative on Patient Safety model to explain safety-related performance and outcomes, indicating differential effects of work system factors. Although the person factor significantly affected safety performance and clinical outcomes, the organization factor was the most influential component for promoting safety-related performance and staff and clinical outcomes. These results can be used to prioritize activities for patient safety.

Background This study investigated the individual and combined effects of self-reported resilience and serum ghrelin levels on 12-week remission in outpatients with depressive disorders who received antidepressant treatment. Methods The Connor-Davidson Resilience Scale (CDRS) score and serum ghrelin levels were assessed at baseline in 1,094 patients. The patients initially received antidepressant monotherapy. Patients with an insufficient response or uncomfortable side effects received alternative treatments every 3 weeks (at 3, 6, and 9 weeks). Subsequently, 12-week remission, defined as a Hamilton Depression Rating Scale (HAMD) score of ≤ 7, was evaluated. The individual and combined effects of the CDRS score (low vs. high) and serum ghrelin level (low vs. high) on 12-week remission were analyzed using logistic regression models after adjusting for relevant covariates. Results The individual effects of the CDRS score and serum ghrelin level on 12-week remission were not statistically significant. However, the high-CDRS, high-ghrelin group had a significantly higher 12-week remission rate compared to the low-CDRS, low-ghrelin group. Conclusions The combination of the CDRS score and serum ghrelin level is useful for predicting 12-week remission in patients with depressive disorders receiving pharmacotherapy.

Objectives. Hereditary hemorrhagic telangiectasia (HHT) is an autosomal dominant vascular disorder characterized by recurrent epistaxis, telangiectasia, and visceral arteriovenous malformations (AVMs). Activin A receptor-like type 1 (ACVRL1/ALK1) and endoglin (ENG) are the principal genes whose mutations cause HHT. No multicenter study has yet investigated correlations between genetic variations and clinical outcomes in Korean HHT patients.Methods. Seventy-two members from 40 families suspected to have HHT based on symptoms were genetically screened for pathogenic variants of ACVRL1 and ENG. Patients with genetically diagnosed HHT were also evaluated.Results. In the HHT genetic screening, 42 patients from 24 of the 40 families had genetic variants that met the pathogenic criteria (pathogenic very strong, pathogenic strong, pathogenic moderate, or pathogenic supporting) based on the American College of Medical Genetics and Genomics Standards and Guidelines for either ENG or ACVRL1: 26 from 12 families (50%) for ENG, and 16 from 12 families (50%) for ACVRL1. Diagnostic screening of 42 genetically positive HHT patients based on the Curaçao criteria revealed that 24 patients (57%) were classified as having definite HHT, 17 (41%) as having probable HHT, and 1 (2%) as unlikely to have HHT. Epistaxis was the most common clinical presentation (38/42, 90%), followed by visceral AVMs (24/42, 57%) and telangiectasia (21/42, 50%). Five patients (12%) did not have a family history of HHT clinical symptoms.Conclusion. Only approximately half of patients with ACVRL1 or ENG genetic variants could be clinically diagnosed as having definite HHT, suggesting that genetic screening is important to confirm the diagnosis.

Objectives: Childhood trauma (ChT) is a risk factor for psychosis. Negative lifestyle factors such as rumination, negative schemas, and poor diet and exercise are common in psychosis. The present study aimed to perform a network analysis of interactions between ChT and negative lifestyle in patients and controls.Methods: We used data of patients with early-stage psychosis (n = 500) and healthy controls (n = 202). Networks were constructed using 12 nodes from five scales: the Brief Core Schema Scale (BCSS), Brooding Scale (BS), Dietary Habits Questionnaire, Physical Activity Rating, and Early Trauma Inventory Self Report-Short Form (ETI). Graph metrics were calculated.Results: The nodes with the highest predictability and expected influence in both patients and controls were cognitive (Co) and emotional domains (Em) of the BS and emotional abuse (EMO) of the ETI. The EMO was a mediator in the shortest pathway connecting the ETI and negative lifestyle for both groups. The negative other (NO) and negative self (NS) of the BCSS mediated EMO to other BCSS or BS for patients and controls, respectively.Conclusion: Our findings suggest that rumination and EMO were central symptoms in both groups and that NO and NS played important mediating roles for patients and controls, respectively.Trial Registration: ClinicalTrials.gov identifier: CUH201411002

Objective Sudden traumatic physical injuries often cause psychological distress, which may be associated with chronic disability. Although considerable effort has been expended to identify genetic predictors of post-traumatic stress disorder (PTSD) after traumatic events, genetic predictors of psychological distress in response to severe physical injuries have been yet to be elucidated using whole exome sequencing (WES). Here, the genetic architecture of post-traumatic syndrome (PTS), which encompasses a broad range of psychiatric disorders after traumatic events including depression, anxiety disorder, acute stress disorder, and PTSD, was explored using WES in severely physically injured patients, focusing on secondary findings and potential PTS-related variants. Methods In total, 141 severely physically injured patients were consecutively recruited, and PTS was evaluated within 1 month of the injury. Secondary findings were analyzed according to PTS status. To identify PTS-related variants, genome-wide association analyses and the optimal sequencing kernel association test were performed. Results Of the 141 patients, 88 (62%) experienced PTS. There were 108 disease-causing variants in severely physically injured patients. As secondary findings, the stress- and inflammation-related signaling pathways were enriched in the PTS patients, while the glucose metabolism pathway was enriched in those without PTS. However, no significant PTS-related variants were identified. Conclusion Our findings suggest that genetic alterations in stress and inflammatory pathways might increase the likelihood of PTS immediately after severe physical injury. Future studies with larger samples and longitudinal designs are needed.

Background: Conventional diagnostic approaches for adrenal tumors require multi-step processes, including imaging studies and dynamic hormone tests. Therefore, this study aimed to discriminate adrenal tumors from a single blood sample based on the combination of liquid chromatography-mass spectrometry (LC-MS) and machine learning algorithms in serum profiling of adrenal steroids.Methods: The LC-MS-based steroid profiling was applied to serum samples obtained from patients with nonfunctioning adenoma (NFA, n=73), Cushing’s syndrome (CS, n=30), and primary aldosteronism (PA, n=40) in a prospective multicenter study of adrenal disease. The decision tree (DT), random forest (RF), and extreme gradient boost (XGBoost) were performed to categorize the subtypes of adrenal tumors.Results: The CS group showed higher serum levels of 11-deoxycortisol than the NFA group, and increased levels of tetrahydrocortisone (THE), 20α-dihydrocortisol, and 6β-hydroxycortisol were found in the PA group. However, the CS group showed lower levels of dehydroepiandrosterone (DHEA) and its sulfate derivative (DHEA-S) than both the NFA and PA groups. Patients with PA expressed higher serum 18-hydroxycortisol and DHEA but lower THE than NFA patients. The balanced accuracies of DT, RF, and XGBoost for classifying each type were 78%, 96%, and 97%, respectively. In receiver operating characteristics (ROC) analysis for CS, XGBoost, and RF showed a significantly greater diagnostic power than the DT. However, in ROC analysis for PA, only RF exhibited better diagnostic performance than DT.Conclusion: The combination of LC-MS-based steroid profiling with machine learning algorithms could be a promising one-step diagnostic approach for the classification of adrenal tumor subtypes.

The coronavirus disease 2019 (COVID-19) pandemic has drastically impacted our society and health care system. People with schizophrenia are more vulnerable to this burden of illness and related societal changes. In addition, they are more susceptible to the transmission of COVID-19 and have a significantly higher mortality rate compared to the general population. In a recent study, vaccinated patients with schizophrenia showed a greatly decreased mortality level similar to that of the general population. However, patients with schizophrenia were less likely to be vaccinated. Mental health professionals should provide them with appropriate information on prevention strategies against COVID-19 and vaccination. Long-lasting social distancing and social disconnection can make people with schizophrenia more vulnerable to loneliness and depression. Furthermore, patients with schizophrenia may face challenges continuing psychiatric treatment due to the COVID-19 pandemic. Social support and suitable mental health services using novel technologies should be developed and provided to patients with schizophrenia.

Pleomorphic adenoma occurs primarily in the major salivary glands, but very rarely in the nose. Treatment of nasal pleomorphic adenoma, like pleomorphic adenoma of the major salivary gland, is also a complete resection. Since most are confined to the nasal cavity and do not invade cartilage or other tissues, it can be removed relatively simply by nasal endoscopic surgery. We report a case where a pleomorphic adenoma arising from the right nasal ala invades the lateral crus of lower lateral cartilage, where a part of the cartilage was excised along with removal of the tumor and reconstructed with nasal septal cartilage. Eight months after surgery, the external deformity of nose was not observed and there was no recurrence.

Stickler syndrome is a genetic disorder of connective tissue. One of the major symptoms associated with this disorder is an oro-facial malformation, which may cause a submucous cleft or a complete cleft of the hard palate. A 32-year-old man diagnosed with Stickler syndrome and a submucosal cleft palate (SMCP) visited our hospital with a chief complaint of excessive daytime sleepiness. The patient was diagnosed with severe obstructive sleep apnea (OSA), and administration of a polysomnography test revealed an apnea-hypopnea index (AHI) of 30.9 events/hour (h). Auto-titrating continuous positive airway pressure was initiated to control the OSA symptoms and subsequently the patient showed some improvement. However, due to continuous velopharyngeal insufficiency symptoms, intravelar veloplasty was performed. Three months after surgery, the AHI had decreased to 12.4 events/h. Recent studies have described a greater risk for OSA in individuals with cleft palate, than in the general population. The present case demonstrates surgical success in a patient with OSA and SMCP, suggesting that palatal surgery may be considered an optional surgical treatment for OSA patients with SMCP.

Background Real world predictors of relapse following routine treatment for depression remain under-researched. We sought to investigate this in an outpatient clinical sample with depressive disorders receiving stepwise pharmacotherapy based on early clinical decision-making, applying a naturalistic 24-month prospective design. Methods Patients were recruited at a University hospital in South Korea from March 2012 to April 2017. After 3-week antidepressant monotherapy (N = 1262), next treatment steps (1, 2, 3, and 4 or over) with alternative strategies (switching, augmentation, combination, and mixtures of these approaches) were administered based on measurements and patient preference at 3-week points in the acute treatment phase (3, 6, 9, and 12 weeks) (N = 1246). For those who responded [Hamilton Depression Rating Scale (HAMD) score of≤14] (N = 937), relapse (HAMD>14) was identified every 3 months from 6 to 24 months (N = 816). Predictors of relapse were evaluated using multi-variate Cox proportional hazards models. Results Four independent relapse predictors were identified: higher number of previous depressive episodes, higher anxiety at baseline, higher number of treatment steps, and poor medication adherence. In particular, treatment Step 4 was significantly associated with relapse compared to treatment Step 1, 2, and 3 after adjustment for relevant covariates. Limitation Withdrawal syndromes after discontinuing psychotropic drugs, known to confound the determination of relapse, were not evaluated. The study was conducted at a single site, which maximised consistency but may limit generalizability. Conclusions Predictors of relapse reported from more restricted trial or cohort samples were replicated in this long-term naturalistic prospective design.

ObjectivesThis report aims to introduce a rare case of a dramatic recovery by donepezil with a patient with schizophrenia who suffered from remaining psychotic symptoms despite proper treatment and had a cognitive impairment by carbon monoxide (CO) poisoning sequelae.Case reportA 38-year-old male who developed schizophrenia 2 years ago had attempted suicide via CO inhalation due to his uncontrolled symptoms. He was hospitalized with delayed neurological sequelae (DNS). Though hyperbaric oxygen therapy (HBOT) was applied 10 times, his cognitive impairment did not recover. Surprisingly, with 5–10 mg donepezil, both cognitive function and the psychotic symptoms of the patient remarkably improved.ConclusionThis case showed a good response of donepezil for a patient with schizophrenia and CO-induced DNS after ineffective HBOT. Although the mechanism of the phenomenon is unclear, it can be possible reasons that the neuroprotective effect of donepezil and white matter insult by CO poisoning.

In the present study, various outcomes over 3-year period in patients with early stage psychosis including remission, recovery, relapse and medication adherence were investigated. Predictor for full recovery at year 3 was also examined. Three-year follow-up data in 534 patients with schizophrenia spectrum disorders (SSD) and psychotic disorder not otherwise specified (PNOS) were examined for overall outcome trajectories. The data of completers at year 3 (n = 157) were used to identify predictors for recovery using logistic regression. The rates of symptomatic remission and full recovery at 6-, 12-, 24-, and 36-month follow-up were 76.10, 69.20, 79.50, and 79.10%, and 22.80, 26.40, 28.60, and 39.60%, respectively. The rates of drop-out and relapse at 6-, 12-, 24-, and 36-month follow-up were 25.4, 29.5, 38.6, and 51.1%, and 3.7, 8.9, 19.0, and 38.9%, respectively. The rates of good adherence and prescription of Long-Acting Injectable Antipsychotics (LAIA) at 6-, 12-, 24- and 36-month follow-up were 87.8, 88.0, 91.9, and 93.9%, and 18.3, 21.7, 22.0, and 25.5%, respectively. Significant predictors for full recovery were duration of untreated psychosis (DUP), family intimacy and physical activity. We observed similar or better results on remission, recovery, and relapse rates compared to other previous studies. Effective psychosocial intervention should be provided to shorten the gap between remission and recovery rates and to address DUP, family issues, and exercise to enhance recovery.

This study investigated the potential modifying effects of the level of the serum interleukin-18 (IL-18) on the association between

The kidney is the key regulator of magnesium (Mg2+) homeostasis in the human body. In the distal convoluted tubule (DCT), the apical epithelial magnesium (Mg2+) channel TRPM6, determines how much Mg2+ is excreted in the urine. To better understand the regulation of human renal Mg2+ absorption we identified novel, potential interaction partners of TRPM6 by pursuing a liquid chromatography – tandem mass spectrometry (LC-MS/MS) proteomics approach.We found insulin receptor substrate 4 (IRS4) enriched with TRPM6 tagged to glutathione S-transferase (TRPM6-GST) but not GST control. Physical interaction between IRS4 and TRPM6 was confirmed by co-immunoprecipitation. Applying microdissection of mouse tubules, we detected Irs4 mRNA expression mostly in the DCT and to a lower degree in the proximal tubule and thick ascending limb of Henle. Given the overall low abundance of Irs4 mRNA along the tubule we investigated the phenotype of Irs4 knockout mice (Irs4-/-). These Irs4-/- mice displayed significantly higher urinary and fecal Mg2+ losses and lower blood Mg2+ levels than wild-type (WT) mice. Claudin-16, claudin-19, and Hnf1b mRNA and Claudin-16 and Trpm6 protein expression was significantly higher in kidneys of 3 month old Irs4-/- mice consistent with a compensatory mechanism to conserve Mg2+. Applying whole-cell patch-clamp recording we confirmed the stimulatory role of insulin on TRPM6 channel activity and showed that IRS4 targets the two TRPM6 phosphorylation sites T1391 and S1583 to enhance TRPM6 current density. To test the effect of Mg2+ deficiency on metabolism, we performed glucose and insulin tolerance studies, which were mildly abnormal in Irs4-/- mice.SIGNIFICANCE STATEMENTMagnesium (Mg2+) is the second most abundant intracellular cation but the regulation of Mg2+ homeostasis is not well understood. The kidney is the key organ for regulating Mg2+ homeostasis. Insulin is a known stimulator of the apical epithelial Mg2+channel TRPM6. We present a novel modifier of Mg2+ absorption with insulin receptor substrate 4 (IRS4) which illuminates further, how insulin activates the TRPM6 channel and modifies Mg2+ homeostasis. Applying protein biochemistry, tubular microdissection, whole mouse physiology, and patch-clamp recording, we demonstrate that IRS4 mediates the stimulatory effect of insulin by enhancing phosphorylation of two specific TRPM6 residues. Irs4-/- mice develop increased urinary and stool Mg2+ losses, lower serum Mg2+ concentration, and display mild impairment in glucose and insulin tolerance.

Statins (3-hydroxy-3-methylglutaryl-coenzyme A reductase inhibitors) treat dyslipidaemia and cardiovascular disease by inhibiting cholesterol biosynthesis. They also have immunomodulatory and anti-inflammatory properties. Beyond cardiovascular disease, cholesterol and inflammation appear to be components of the pathogenesis and pathophysiology of neuropsychiatric disorders. Statins may therefore afford some therapeutic benefit in mood disorders. In this paper, we review the pathophysiology of mood disorders with a focus on pharmacologically relevant pathways, using major depressive disorder and bipolar disorder as exemplars. Statins are discussed in the context of these disorders, with particular focus on the putative mechanisms involved in their anti-inflammatory and immunomodulatory effects. Recent clinical data suggest that statins may have antidepressant properties, however given their interactions with many known biological pathways, it has not been fully elucidated which of these are the major determinants of clinical outcomes in mood disorders. Moreover, it remains unclear what the appropriate dose, or appropriate patient phenotype for adjunctive treatment may be. High quality randomised control trials in concert with complementary biological investigations are needed if the potential clinical effects of statins on mood disorders, as well as their biological correlates, are to be better understood.

Objective To prevent the spread of infection in Korea during the corona virus disease 2019 (COVID-19) outbreak, real-time warnings have been sent to all residents via mobile phones. This study examined the factors associated with the negative emotional response to media news and emergency text alerts in the COVID-19 pandemic.Methods A survey was completed by 1,500 adults from an online public panel in three regions. We used Patient Health Questionnaire-9 (PHQ-9), generalized anxiety disorder-7 (GAD-7) and Perceived Stress Scale-10 (PSS-10) to assess the level of depression, anxiety and stress, respectively. Questionnaires related to COVID-19 included fear of infection, and fear of disclose of contact-tracing information.Results The negative emotional response on both news media information and emergency alert text messages about COVID-19 was associated with fear of COVID-19 infection and high anxiety. The biggest outbreak city, Daegu was associated with the less negative emotional response on emergency alert text messages. Fear of disclose of contact-tracing information was significantly associated with negative emotional perception on emergency alter text messages.Conclusion Our results suggest that effective information providing services with considering vulnerable groups are needed to promote acceptance and eliminate negative emotion for disease related information.

Background Dipeptidyl peptidase-4 (DPP-4) inhibitor has been reported to have kidney-protective benefits. To elucidate how antidiabetic agents prevent diabetic kidney disease progression, it is important to investigate their effect on the kidney environment in type 2 diabetes mellitus (DM) patients. Herein, we investigated the expression pattern of urinary exosome-derived microRNA (miRNA) in patients taking a combination of DPP-4 inhibitor and metformin (DPP-4 inhibitor group) and compared them with patients taking a combination of sulfonylurea and metformin (sulfonylurea group). Methods This was a prospective study involving 57 patients with type 2 DM (DPP-4 inhibitor group, n = 34; sulfonylurea group, n = 23) and healthy volunteers (n = 7). We measured urinary exosomal miRNA using the NanoString nCounter miRNA array (NanoString Technologies) across the three groups (n = 4 per each group) and validated findings using real-time polymerase chain reaction. Results Twenty-one differentially expressed candidate miRNAs were identified, and six (let-7c-5p, miR-23a-3p, miR-26a-3p, miR-30d, miR-205, and miR-200a) were selected for validation. Validation showed no significant difference in miRNA expression between the DPP-4 inhibitor and sulfonylurea groups. Only miR-23a-3p was significantly overexpressed in the diabetes group compared with the control group (DPP-4 inhibitor vs. control, p = 0.01; sulfonylurea vs. control, p = 0.007). This trend was consistent even after adjusting for age, sex, and body mass index. Conclusion There was no significant difference in urine exosome miRNA expression between diabetic participants taking DPP-4 inhibitor and those taking sulfonylurea. The miR-23a levels were higher in diabetic participants than in nondiabetic controls.

Aim In the present study, the prevalence and predictors of symptomatic and full remission were investigated in patients with first-episode psychosis (FEP) at the 12-month follow-up. Methods A total of 308 participants aged 18-45 years fulfilled the study inclusion criteria and 214 completed the 12-month follow-up. Results At the 12-month follow-up, 67.3% (142) and 25.9% (55) of the FEP patients met the criteria for symptomatic and full remission, respectively. Stepwise logistic regression analysis showed a shorter duration of untreated psychosis (DUP), no family history, lower Positive and Negative Syndrome Scale (PANSS) negative symptom scores at baseline and higher familial support predicted symptomatic remission at the 12-month follow-up. A higher educational level, shorter DUP, lower PANSS general symptoms scores at baseline and higher subjective well-being under neuroleptics emotional regulation scores predicted full remission. Conclusions Our findings regarding the rates of symptomatic and full remission are consistent with previous studies. The results indicate a large discrepancy between symptomatic versus full remission rates at a 12-month follow-up in patients with FEP. Effective psychosocial interventions are necessary to improve the outcomes of FEP patients.

Background: Nonalcoholic fatty liver disease (NAFLD) is the most prevalent cause of chronic liver disease worldwide. Type 2 diabetes mellitus (T2DM) is a risk factor that accelerates NAFLD progression, leading to fibrosis and cirrhosis. Thus, here we aimed to develop a simple model to predict the presence of NAFLD based on clinical parameters of patients with T2DM.Methods: A total of 698 patients with T2DM who visited five medical centers were included. NAFLD was evaluated using transient elastography. Univariate logistic regression analyses were performed to identify potential contributors to NAFLD, followed by multivariable logistic regression analyses to create the final prediction model for NAFLD.Results: Two NAFLD prediction models were developed, with and without serum biomarker use. The non-laboratory model comprised six variables: age, sex, waist circumference, body mass index (BMI), dyslipidemia, and smoking status. For a cutoff value of ≥60, the prediction accuracy was 0.780 (95% confidence interval [CI], 0.743 to 0.817). The second comprehensive model showed an improved discrimination ability of up to 0.815 (95% CI, 0.782 to 0.847) and comprised seven variables: age, sex, waist circumference, BMI, glycated hemoglobin, triglyceride, and alanine aminotransferase to aspartate aminotransferase ratio. Our non-laboratory model showed non-inferiority in the prediction of NAFLD versus previously established models, including serum parameters.Conclusion: The new models are simple and user-friendly screening methods that can identify individuals with T2DM who are at high-risk for NAFLD. Additional studies are warranted to validate these new models as useful predictive tools for NAFLD in clinicalpractice.

Objective This study aimed to investigate trends in hospital utilization of patients with schizophrenia during the last 10 years in Korea and to predict future trends using time series analysis.Methods We determined the numbers of patients receiving outpatient or inpatient treatment for schizophrenia per month between 2010 and 2019, using National Health Insurance claims data. Facebook’s Prophet was used to fit time series models based on observations for the previous 120 months, and to predict trends over the next 36 months.Results The number of hospitalized patients per month has declined rapidly since 2015, but the monthly number of outpatient visits has steadily increased. Monthly hospital utilization has increased in patients aged ≤29 and ≥50 years, but has declined rapidly since 2014–2015 in patients in their 30s and 40s. The upward trend in overall hospital utilization has slowed considerably in recent years. These trends are expected to continue over the next few years.Conclusion This study revealed some notable changes in the hospital utilization patterns of patients with schizophrenia in recent years. There is a need to closely monitor and anticipate potential problems caused by these changing trends.