Efficacy of vestibular rehabilitation and its facilitating and hindering factors from real-world clinical data.

Background and purpose: Customized vestibular rehabilitation improved dizziness and imbalance in several randomized controlled trials. In the present study, we determined the efficacy of customized vestibular rehabilitation using real-world observational data. Methods: In this retrospective observational study, we recruited 64 patients (median age = 60, interquartile range = 48-66.3) who completed the customized vestibular rehabilitation from January to December 2022. The outcomes of rehabilitation were evaluated using the dizziness handicap inventory (DHI) or vestibular disorders activities of daily living scale (VADL). The factors associated with outcomes were assessed with a generalized linear model, of which covariates included patients' age, sex, duration of illness, type of vestibular disorders, initial DHI and VADL scores, exercise compliance, and initial hospital anxiety and depression scale (HADS) scores. Results: After the median of 6 (4-6) weeks of rehabilitation, DHI and VADL scores significantly improved in patients with either peripheral or central vestibular disorders (Wilcoxon signed-rank test, p < 0.05). The initial DHI and VADL scores showed a positive while the sum of HADS scores showed a negative correlation with the outcome. In contrast, the age, sex, duration of illness, types of vestibular disorders, and exercise compliance did not affect the outcome. Discussion and conclusion: Customized vestibular rehabilitation is effective for central as well as peripheral disorders, especially when the symptoms are severe and the psychological distress is mild.

Affective dysfunction mediates the link between neuroimmune markers and the default mode network functional connectivity, and the somatic symptoms in somatic symptom disorder.

OBJECTIVE: Somatic symptom disorder (SSD) is characterized by physical symptoms and associated functional impairments that are often comorbid with depression and anxiety disorders. In this study, we explored relationships between affective symptoms and the functional connectivity of the default mode network (DMN) in SSD patients, as well as the impact of peripheral inflammation. We employed mediation analyses to investigate the potential pathways between these factors. METHODS: We recruited a total of 119 individuals (74 unmedicated SSD patients and 45 healthy controls), who were subjected to comprehensive psychiatric and clinical evaluations, blood tests, and resting-state functional magnetic resonance imaging scanning. We assessed neuroimmune markers (interleukin-6 (IL-6), high-sensitivity C-reactive protein (hs-CRP), tumor necrosis factor-α (TNF-α), tryptophan, serotonin, and 5-hydroxyindoleacetic acid (5-HIAA)), clinical indicators of somatic symptoms, depression, anxiety, anger, alexithymia, and functional connectivity (FC) within the DMN regions. Data were analyzed using correlation and mediation analysis, with a focus on exploring potential relations between clinical symptoms, blood indices, and DMN FCs. RESULTS: Patients with SSD had higher clinical scores as well as IL-6 and TNF-α levels compared with those in the control group (P < 0.05). The SSD group exhibited lower FC strength between the left inferior parietal lobule and left prefrontal cortex (Pfalse discovery rate (FDR) < 0.05). Exploratory correlation analysis revealed that somatic symptom scores were positively correlated with affective symptom scores, negatively correlated with the FC strength between the intra prefrontal cortex regions, and correlated with levels of IL-6, TNF- α, and tryptophan (uncorrected P < 0.01). Mediation analysis showed that levels of anxiety and trait anger significantly mediated the relations between DMN FC strength and somatic symptoms. In addition, the DMN FC mediated the level of trait anger with respect to somatic symptoms (all PFDR < 0.05). The levels of depression and trait anger exhibited significant mediating effects as suppressors of the relations between the level of 5-HIAA and somatic symptom score (all PFDR < 0.05). Further, the level of 5-HIAA had a mediating effect as a suppressor on the relation between DMN FC and state anger. Meanwhile, the levels of hs-CRP and IL-6 had full mediating effects as suppressors when explaining the relations of DMN FC strengths with the level of depression (all PFDR < 0.05). The patterns of valid mediation pathways were different in the control group. CONCLUSIONS: Affective symptoms may indirectly mediate the associations between DMN connectivity, somatic symptoms, and neuroimmune markers. Inflammatory markers may also mediate the impact of DMN connectivity on affective symptoms. These results emphasize the importance of affective dysregulation in understanding the mechanisms of SSD and have potential implications for the development of tailored therapeutic approaches for SSD patients with affective symptoms. Furthermore, in SSD research using DMN FC or neuroimmune markers, considering and incorporating such mediating effects of affective symptoms suggests the possibility of more accurate prediction and explanation.

Predicting delirium and the effects of medications in hospitalized COVID-19 patients using machine learning: A retrospective study within the Korean Multidisciplinary Cohort for Delirium Prevention (KoMCoDe).

Objective: Delirium is commonly reported from the inpatients with Coronavirus disease 2019 (COVID-19) infection. As delirium is closely associated with adverse clinical outcomes, prediction and prevention of delirium is critical. We developed a machine learning (ML) model to predict delirium in hospitalized patients with COVID-19 and to identify modifiable factors to prevent delirium. Methods: The data set (n = 878) from four medical centers was constructed. Total of 78 predictors were included such as demographic characteristics, vital signs, laboratory results and medication, and the primary outcome was delirium occurrence during hospitalization. For analysis, the extreme gradient boosting (XGBoost) algorithm was applied, and the most influential factors were selected by recursive feature elimination. Among the indicators of performance for ML model, the area under the curve of the receiver operating characteristic (AUROC) curve was selected as the evaluation metric. Results: Regarding the performance of developed delirium prediction model, the accuracy, precision, recall, F1 score, and the AUROC were calculated (0.944, 0.581, 0.421, 0.485, 0.873, respectively). The influential factors of delirium in this model included were mechanical ventilation, medication (antipsychotics, sedatives, ambroxol, piperacillin/tazobactam, acetaminophen, ceftriaxone, and propacetamol), and sodium ion concentration (all p < 0.05). Conclusions: We developed and internally validated an ML model to predict delirium in COVID-19 inpatients. The model identified modifiable factors associated with the development of delirium and could be clinically useful for the prediction and prevention of delirium in COVID-19 inpatients.

Psychosocial Factors Associated with dizziness and chronic dizziness: a nationwide cross-sectional study.

BACKGROUND: Dizziness is a common symptom in adults, and chronic dizziness, such as persistent postural-perceptual dizziness, is also frequently reported and affects the quality of life of patients. This study aimed to identify psychosocial factors related to dizziness and chronic dizziness in a large-scale nationwide cohort. METHODS: This population-based cross-sectional study used the database of the Eighth Korea National Health and Nutrition Examination Survey in 2020. Data from 4,147 adults over 40 years old were analyzed, and 1,102 adults who experienced dizziness were included in the dizziness cohort. Demographic data, medical conditions, comorbidities, functional status variables, nutritional variables and psychological variables were collected. The pattern of depressive symptoms according to the severity of dizziness was analyzed by network analysis. RESULTS: The prevalence rate of dizziness was 24.6% in the general population, and chronic dizziness (≥ 3 months) developed in 210 of 1,102 (17.1%) individuals who experienced dizziness. Multiple logistic regression analysis revealed that female sex, stress, and depression were associated with dizziness. Chronic dizziness was related to tympanic abnormalities, diabetes, short sleep duration, and higher levels of stress and depression. Psychomotor retardation/agitation was a central symptom of depression in patients with chronic dizziness. CONCLUSIONS: This study found sex differences in factors associated with dizziness and identified psychosocial factors linked to chronic dizziness. Focusing on somatic factors rather than depressive symptoms may benefit patients with chronic dizziness.

Hospital space interpreted according to Heidegger's concepts of care and dwelling.

Modern hospitals have succeeded in saving humans from numerous diseases owing to the rapid development of medical technology. However, modern medical science, combined with advanced technology, has developed a strong tendency to view human beings as mere targets of restoration and repair, with modern hospitals characterised as spaces centred on technology-focused treatment. This results in a situation where human beings are reduced to objects and alienated. This study, integrating Heidegger's concepts of dwelling and care, contends that 'care' is a vital concept in terms of the fundamental spatiality of hospitals and needs to be restored as the key guiding principle affecting hospital space. The loss of the caring spirit in the development of modern hospitals affects how hospitals are conceived, built and managed, as well as how human experiences within hospitals are dealt with or allowed for appropriately. This study offers critical reflection on how future planning of hospital spaces can be better conducted to ensure that human experiences, and the care needed to appropriately value such experiences, are adequately expressed, and the complexity of human existence is suitably considered.

Moral Distress Regarding End-of-Life Care Among Healthcare Personnel in Korean University Hospitals: Features and Differences Between Physicians and Nurses.

BACKGROUND: Healthcare professionals often experience moral distress while providing end-of-life care. This study explored how physicians and nurses experienced moral distress when they cared for critically and terminally ill patients in tertiary hospitals in South Korea. METHODS: This study used semi-structured in-depth interviews. A total of 22 people in two tertiary hospitals were interviewed, nine (40.9%) of which were physicians and 13 (59.1%) were nurses. The recorded interview files and memos were analyzed using grounded theory. RESULTS: Most physicians and nurses encountered similar feelings of anger, helplessness, and burden owing to a lack of appropriate resources for end-of-life care. However, the factors and contexts of their moral distress differed. Nurses mainly addressed poorly organized end-of-life care, intensive labor conditions without support for nurses, and providing care without participation in decision-making. Meanwhile, physicians addressed the prevailing misperceptions on end-of-life care, communication failure between physicians owing to hierarchy and fragmented disciplines, the burden of responsibility in making difficult decisions, and the burden of resource allocation. CONCLUSION: Differences in moral distress between physicians and nurses leave them isolated and can affect communication regarding healthcare. Mutual understanding between job disciplines will enhance their communication and help resolve conflicts in end-of-life care.

Efficacy and safety of daily home-based transcranial direct current stimulation as adjunct treatment for bipolar depressive episodes: Double-blind sham-controlled randomized clinical trial.

Background: Although transcranial direct current stimulation (tDCS) is known to be a promising therapeutic modality for unipolar depression, the efficacy and safety of tDCS for bipolar depressive episodes (BD) are still unknown and clinical trials of home-based tDCS treatment are scarce. As a result, we set out to investigate the efficacy and safety of home-based tDCS for the treatment BD. Methods: Participants (n = 64), diagnosed as bipolar disorder as per the diagnostic and statistical manual of mental disorders (DSM-5), were randomly assigned to receive tDCS. Hamilton Depression Rating Scale (HDRS-17) scores were measured at the baseline, week 2, 4, and 6, and home-based tDCS (for 30 min with 2 mA) was self-administered daily. Results: Of the 64 patients (15.6% bipolar disorder I, 84.4% bipolar disorder II), 41 patients completed the entire assessment. In the intention-to-treat analysis, time-group interaction for the HDRS-17 [F (3, 146.36) = 2.060; p = 0.108] and adverse effect differences between two groups were not statistically significant, except the pain score, which was higher in the active group than the sham group (week 0-2: p < 0.01, week 2-4: p < 0.05, and week 4-6: p < 0.01). Conclusion: Even though we found no evidence for the efficacy of home-based tDCS for patients with BD, this tool was found to be a safe and tolerable treatment modality for BD. Clinical trial registration: [https://clinicaltrials.gov/show/NCT03974815], identifier [NCT03974815].

A prospective study of remote delirium screening using the modified K-4AT for COVID-19 inpatients.

Background: Delirium is a neuropsychiatric condition strongly associated with poor clinical outcomes such as high mortality and long hospitalization. In the patients with Coronavirus disease 2019 (COVID-19), delirium is common and it is considered as one of the risk factors for mortality. For those admitted to negative-pressure isolation units, a reliable, validated and contact-free delirium screening tool is required. Materials and methods: We prospectively recruited eligible patients from multiple medical centers in South Korea. Delirium was evaluated using the Confusion Assessment Method (CAM) and 4'A's Test (4AT). The attentional component of the 4AT was modified such that respondents are required to count days, rather than months, backward in Korean. Blinded medical staff evaluated all patients and determined whether their symptoms met the delirium criteria of the Diagnostic and Statistical Manual of Mental Disorders 5 (DSM-5). An independent population of COVID-19 patients was used to validate the 4AT as a remote delirium screening tool. We calculated the area under the receiver operating characteristic curve (AUC). Results: Out of 286 general inpatients, 28 (9.8%) inpatients had delirium. In this population, the patients with delirium were significantly older (p = 0.018) than the patients without delirium, and higher proportion of males were included in the delirium group (p < 0.001). The AUC of the 4AT was 0.992 [95% confidence interval (CI) 0.983-1.000] and the optimal cutoff was at 3. Of the independent COVID-19 patients, 13 of 108 (12.0%) had delirium. Demographically, the COVID-19 patients who had delirium only differed in employment status (p = 0.047) from the COVID-19 patients who did not have delirium. The AUC for remote screening using the 4AT was 0.996 (0.989-1.000). The optimal cutoff of this population was also at 3. Conclusion: The modified K-4AT had acceptable reliability and validity when used to screen inpatients for delirium. More importantly, the 4AT efficiently screened for delirium during remote evaluations of COVID-19 patients, and the optimal cutoff was 3. The protocol presented herein can be used for remote screening of delirium using the 4AT.

A Longitudinal Study on Attenuated Structural Covariance in Patients With Somatic Symptom Disorder.

Objective: This study was performed to investigate altered regional gray matter volume (rGMV) and structural covariance related to somatic symptom disorder (SSD) and longitudinal changes after treatment. Additionally, this study examined the relationships of structural alteration with its phenotypic subtypes. Methods: Forty-three unmedicated patients with SSD and thirty normal controls completed psychological questionnaires and neurocognitive tests, as well as brain magnetic resonance imaging. Voxel-based morphometry and structural covariances were compared between groups and between subgroups within the SSD group. After 6 months of treatment, SSD patients were followed up for assessments. Results: Patients with SSD exhibited attenuated structural covariances in the pallidal-cerebellar circuit (FDR < 0.05-0.1), as well as regions in the default mode and sensorimotor network (FDR < 0.2), compared to normal controls. The cerebellar rGMVs were negatively correlated with the severity of somatic symptoms. In subgroup analyses, patients with somatic pain showed denser structural covariances between the bilateral superior temporal pole and left angular gyrus, the left middle temporal pole and left angular gyrus, and the left amygdala and right inferior orbitofrontal gyrus, while patients with headache and dizziness had greater structural covariance between the right inferior temporal gyrus and right cerebellum (FDR < 0.1-0.2). After 6 months of treatment, patients showed improved symptoms, however there was no significant structural alteration. Conclusion: The findings suggest that attenuated structural covariance may link to dysfunctional brain network and vulnerability to SSD; they also suggested that specific brain regions and networks may contribute to different subtypes of SSD.

A machine-learning model to predict postoperative delirium following knee arthroplasty using electronic health records.

BACKGROUND: Postoperative delirium is a challenging complication due to its adverse outcome such as long hospital stay. The aims of this study were: 1) to identify preoperative risk factors of postoperative delirium following knee arthroplasty, and 2) to develop a machine-learning prediction model. METHOD: A total of 3,980 patients from two hospitals were included in this study. The model was developed and trained with 1,931 patients from one hospital and externally validated with 2,049 patients from another hospital. Twenty preoperative variables were collected using electronic hospital records. Feature selection was conducted using the sequential feature selection (SFS). Extreme Gradient Boosting algorithm (XGBoost) model as a machine-learning classifier was applied to predict delirium. A tenfold-stratified area under the curve (AUC) served as the metric for variable selection and internal validation. RESULTS: The incidence rate of delirium was 4.9% (n = 196). The following seven key predictors of postoperative delirium were selected: age, serum albumin, number of hypnotics and sedatives drugs taken preoperatively, total number of drugs (any kinds of oral medication) taken preoperatively, neurologic disorders, depression, and fall-down risk (all p < 0.05). The predictive performance of our model was good for the developmental cohort (AUC: 0.80, 95% CI: 0.77-0.84). It was also good for the external validation cohort (AUC: 0.82, 95% CI: 0.80-0.83). Our model can be accessed at https://safetka.connecteve.com . CONCLUSIONS: A web-based predictive model for delirium after knee arthroplasty was developed using a machine-learning algorithm featuring seven preoperative variables. This model can be used only with information that can be obtained from pre-operative electronic hospital records. Thus, this model could be used to predict delirium before surgery and may assist physician's effort on delirium prevention.

Care for critically and terminally ill patients and moral distress of physicians and nurses in tertiary hospitals in South Korea: A qualitative study.

Physicians and nurses working in acute care settings, such as tertiary hospitals, are involved in various stages of critical and terminal care, ranging from diagnosis of life-threatening diseases to care for the dying. It is well known that critical and terminal care causes moral distress to healthcare professionals. This study aimed to explore moral distress in critical and terminal care in acute hospital settings by analyzing the experiences of physicians and nurses from various departments. Semi-structured in-depth interviews were conducted in two tertiary hospitals in South Korea. The collected data were analyzed using grounded theory. A total of 22 physicians and nurses who had experienced moral difficulties regarding critical and terminal care were recruited via purposive maximum variation sampling, and 21 reported moral distress. The following points were what participants believed to be right for the patients: minimizing meaningless interventions during the terminal stage, letting patients know of their poor prognosis, saving lives, offering palliative care, and providing care with compassion. However, family dominance, hierarchy, the clinical culture of avoiding the discussion of death, lack of support for the surviving patients, and intensive workload challenged what the participants were pursuing and frustrated them. As a result, the participants experienced stress, lack of enthusiasm, guilt, depression, and skepticism. This study revealed that healthcare professionals working in tertiary hospitals in South Korea experienced moral distress when taking care of critically and terminally ill patients, in similar ways to the medical staff working in other settings. On the other hand, the present study uniquely identified that the aspects of saving lives and the necessity of palliative care were reported as those valued by healthcare professionals. This study contributes to the literature by adding data collected from two tertiary hospitals in South Korea.

Factors associated with delirium among survivors of acute respiratory distress syndrome: a nationwide cohort study.

BACKGROUND: The prevalence of delirium, its associated factors, and its impact on long-term mortality among survivors of acute respiratory distress syndrome (ARDS) is unclear. METHODS: Since this was a population-based study, data were extracted from the National Health Insurance database in South Korea. All adults who were admitted to intensive care units with a diagnosis of ARDS between January 1, 2010, and December 31, 2019, and who survived for ≥ 60 days were included. The International Statistical Classification of Diseases and Related Health Problems, tenth revision code of delirium (F05) was used to extract delirium cases during hospitalization. RESULTS: A total of 6809 ARDS survivors were included in the analysis, and 319 patients (4.7%) were diagnosed with delirium during hospitalization. In the multivariable logistic regression analysis after covariate adjustment, male sex (odds ratio [OR] 1.60, 95% confidence interval [CI] 1.23, 2.08; P < 0.001), longer duration of hospitalization (OR 1.02, 95% CI 1.01, 1.03; P < 0.001), neuromuscular blockade use (OR 1.50, 95% CI 1.12, 2.01; P = 0.006), benzodiazepine (OR 1.55, 95% CI 1.13, 2.13; P = 0.007) and propofol (OR 1.48, 95% CI 1.01, 2.17; P = 0.046) continuous infusion, and concurrent depression (OR 1.31, 95% CI 1.01, 1.71; P = 0.044) were associated with a higher prevalence of delirium among ARDS survivors. In the multivariable Cox regression analysis after adjustment for covariates, the occurrence of delirium was not significantly associated with 1-year all-cause mortality, when compared to the other survivors who did not develop delirium (hazard ratio: 0.85, 95% CI 1.01, 1.71; P = 0.044). CONCLUSIONS: In South Korea, 4.7% of ARDS survivors were diagnosed with delirium during hospitalization in South Korea. Some factors were potential risk factors for the development of delirium, but the occurrence of delirium might not affect 1-year all-cause mortality among ARDS survivors.

Prevalence of mental illness among COVID-19 survivors in South Korea: nationwide cohort.

BACKGROUND: Mental illness among survivors of coronavirus disease 2019 (COVID-2019) during the post-illness period is an emerging and important health issue. AIMS: We aimed to investigate the prevalence of mental illness and the associated factors for its development among COVID-2019 survivors. METHOD: From 1 January to 4 June 2020, data were extracted from the National Health Insurance Service COVID-19 database in South Korea. Patients with COVID-19 were defined as those whose test results indicated that they had contracted the infection, regardless of disease severity. COVID-19 survivors were defined as those who recovered from the infection. The primary end-point was the development of mental illness, which was evaluated between 1 January and 1 December 2020. RESULTS: A total 260 883 individuals were included in this study, and 2.36% (6148) were COVID-19 survivors. The COVID-19 survivors showed higher prevalence of mental illness than the control group (12.0% in the COVID-19 survivors v. 7.7% in the control group; odds ratio (OR) = 2.40, 95% CI 2.21-2.61, P < 0.001). Additionally, compared with the control group, the no specific treatment for COVID-19 group (OR = 2.23, 95% CI 2.03-2.45, P < 0.001) and specific treatment for COVID-19 group (OR = 3.27, 95% CI 2.77-3.87, P < 0.001) showed higher prevalence of mental illness among survivors. CONCLUSIONS: In South Korea, COVID-19 survivors had a higher risk of developing mental illness compared with the rest of the populations. Moreover, this trend was more evident in COVID-19 survivors who experienced specific treatment in the hospital.

Longitudinal qEEG changes correlate with clinical outcomes in patients with somatic symptom disorder.

OBJECTIVE: The quantitative electroencephalography (qEEG) of patients with somatic symptom disorder (SSD) was not yet thoroughly studied. This study aimed to investigate qEEG of SSD patients compared with those of normal controls (NCs), and changes therein after treatment. METHODS: SSD patients currently without treatment and age- and sex-matched NCs were recruited. Spectral analysis of 64-channel EEG recording was performed and somatization, anxiety, and depression were evaluated via self-rating scales at baseline. After six months of treatment as usual, SSD patients were longitudinally followed up for assessments. RESULTS: At baseline, the SSD group (n = 44) had higher alpha (p = 0.047) and lower beta 2 (p = 0.027) and gamma power (p = 0.001) compared with NCs (n = 29). After 6-month treatment, SSD patients showed improvement in symptoms, as well as increased beta 1 (p = 0.032), beta 2 (p = 0.012), and gamma power (p = 0.009) compared with baseline. A significant correlation was observed between the change in somatization score and temporal gamma power (r = -0.424, p = 0.031), and between the change in anxiety score and beta 2 power in the frontal (r = -0.420, p = 0.033) and central (r = -0.484, p = 0.012) regions. CONCLUSIONS: EEG findings in this study may provide neurophysiological features of SSD. The alpha enhancement and reduced fast wave activity may reflect attentional dysfunction in patients with SSD. Decreased fast wave activity is reversible and may serve as a state marker of SSD.

Benzodiazepine Use and Long-Term Mortality in South Korean Adult Population: A Cohort Study.

PURPOSE: Studies have reported mixed results on the association between benzodiazepine use and mortality. Here, we investigated whether benzodiazepine use is associated with a higher risk of 5-year all-cause mortality, and examined the association between benzodiazepine use and 5-year disease-specific mortality. MATERIALS AND METHODS: In this population-based cohort study, a nationally representative sample cohort in South Korea was examined. In 2010, benzodiazepine users were defined as individuals prescribed benzodiazepine continuously over 30 days for regular administration, and all other subjects were included in the control group. The primary endpoint was 5-year all-cause mortality, evaluated from 2011 to 2015. Propensity score (PS) matching and time-dependent Cox regression were performed for statistical analysis, which included benzodiazepine use during 2011-2015 as a time-dependent variable. RESULTS: A total of 822414 adult individuals were included in the final analysis, and the all-cause 5-year mortality was recorded in 20991 individuals (2.7%). The benzodiazepine group included 30837 patients and the control group comprised 791377 patients. After PS matching, 61672 individuals (30836 in each group) were included in the final analysis. After PS matching, the 5-year all-cause mortality in the benzodiazepine group was 10.0% (3082/30836), whereas that in the control group was 9.4% (2893/30836). In time-dependent Cox regression analysis of the PS-matched cohort, the benzodiazepine group showed 1.15-fold higher 5-year all-cause mortality (hazard ratio: 1.15, 95% confidence interval: 1.09-1.22; p<0.001) compared to the control group. CONCLUSION: Benzodiazepine use was associated with increased 5-year all-cause mortality in the South Korean adult population. Further studies are needed to confirm these findings.

Long-term mortality associated with depression among South Korean survivors of extracorporeal membrane oxygenation.

INTRODUCTION: Depression is an important sequela in critically ill patients. However, its prevalence after extracorporeal membrane oxygenation (ECMO) therapy and its association with long-term mortality remain controversial. METHODS: Data were extracted from the South Korean National Health Insurance Service database in this population-based cohort study. Adults who received ECMO therapy from 2006 to 2014 were included. Survivors of ECMO were defined as patients who underwent ECMO and survived over 365 days after the initiation of ECMO therapy. RESULTS: A total of 3,055 survivors of ECMO were included in the final analysis. They were classified into the pre-ECMO depression group (n = 275 [9.0%]), post-ECMO depression group (n = 331 [10.8%]), and other ECMO survivor group. In the multivariable Cox regression model, a 1.52-fold higher mortality was observed in the post-ECMO depression group than in the other groups (hazard ratio, 1.52; 95% confidence interval, 1.17-1.96; p = .002). However, there was no statistically significant difference between the pre-ECMO depression group and the other groups (p = .075). CONCLUSIONS: The prevalence of pre- and post-ECMO depression was 9.0% and 10.8%, respectively. Additionally, post-ECMO depression was associated with an increased 5 year all-cause mortality; however, pre-ECMO depression was not.

The relationships between cognitive control and psychological symptoms in patients with somatic symptom disorder: a pilot longitudinal study.

INTRODUCTION: The present study explored how neurocognitive function correlated with the clinical symptoms of somatic symptom disorder (SSD) by evaluating changes in cognitive abilities according to differences in relevant factors. METHODS: A total of 44 patients with SSD and 30 healthy controls completed tests assessing various neurocognitive domains, including verbal memory, psychomotor speed, executive function, working memory, and sustained and divided attention. They also completed questionnaires for psychological assessment. The same tests and questionnaires were completed by 26 SSD patients 6 months later. RESULTS: The SSD patients had significantly lower scores on the attentional and verbal memory tests than did the healthy controls. Performance on the attentional test was significantly associated with the level of somatic symptoms and anxiety. The follow-up assessment results of the SSD patients revealed improved performance on the verbal learning and fluency tests as well as improvements in somatic symptoms, anxiety, and depression. It was also observed that changes in verbal learning and attentional functions were significantly associated with improvements in somatic symptoms. CONCLUSIONS: The present study suggests that neurocognitive dysfunctions are subtle and not specific to SSD, but certain cognitive functions may be related to the clinical symptoms and improvements of patients with SSD.

Depression and Long-Term Survival Among South Korean Sepsis Survivors: A Nationwide Cohort Study From 2011 to 2014.

OBJECTIVES: We investigated the prevalence of pre- and postsepsis depression and examined the association between diagnosis of pre- and postsepsis depression and 5-year all-cause mortality among survivors of sepsis. DESIGN: A population-based cohort study. SETTING: Data were obtained from the National Health Insurance Service database in South Korea. PATIENTS: Sepsis survivors were defined as those who were admitted with a main diagnosis of sepsis or septic shock and had survived for over 365 days. MEASUREMENTS AND MAIN RESULTS: Sepsis survivors who were diagnosed with depression before sepsis were defined as the presepsis depression group, whereas those who had no history of depression but were newly diagnosed with depression within 1 year of diagnosis of sepsis were defined as the postsepsis depression group. All other participants comprised the control group. A total of 45,826 sepsis survivors were included in the final analysis. Among the survivors, 1,105 (2.4%) were in the postsepsis depression group, whereas 9,626 (21.0%) were in the presepsis depression group. The 5-year all-cause mortality rate in the pre- and postsepsis depression group was 44.1% and 46.2%, whereas that in the control group was 30.4%. Multivariable Cox regression modeling revealed that the risk of 5-year all-cause mortality rate in the postsepsis depression group was 1.29-fold (hazard ratio = 1.29; 95% CI = 1.18-1.41; p < 0.001) higher than that of the control group, whereas the presepsis depression group was not significantly associated with 5-year all-cause mortality (p = 0.509). CONCLUSIONS: Among sepsis survivors in South Korea, 2.4%% were newly diagnosed with depression within 1 year after their sepsis diagnosis. In addition, postsepsis depression was independently associated with higher 5-year all-cause mortality among sepsis survivors. Our results suggest that patients with a history of sepsis and associated depression may be a high-risk group that interventions may be directed toward.

Predictors of treatment response to pharmacotherapy in patients with persistent postural-perceptual dizziness.

The study aimed to identify the predictors of response to selective serotonin reuptake inhibitors (SSRIs) for 12 weeks in patients with persistent postural-perceptual dizziness (PPPD). Short-term treatment responses were studied in 197 outpatients [127 (64.5%) women, mean age ± SD = 51.7 ± 15.9] diagnosed with PPPD. Clinical and self-rated assessments were analyzed at the baseline and at the end of pharmacotherapy for 12 weeks. Multivariable logistic regression analysis was used to determine the following variables as the potential predictors of treatment response as measured by scoring in clinical global impression-improvement scale (CGI-I) scores: age, sex, comorbidity, baseline CGI-S score, Beck Depression Inventory-II score, State-Trait Anxiety Inventory score, Dizziness Handicap Inventory score at the baseline, and prescribed doses of antidepressants or benzodiazepines. The overall response rate to pharmacotherapy was 65.0% (128/197). Female sex and greater disease severity at the baseline (higher CGI-S score) were associated with a better response to the pharmacotherapy. Subgroup analyses by sex identified younger age and lower anxiety as the indicators for better outcomes in men, and absence of comorbidities in women. During the initial assessment, the severity of PPPD was associated with depressive symptoms and subjective functional handicap due to dizziness. The response to pharmacotherapy is favorable in PPPD. Sex, age and initial disease severity are the predictors of the response to SSRIs in patients with PPPD.

Psychological Consequences of Survivors of COVID-19 Pneumonia 1 Month after Discharge.

As the coronavirus disease 2019 (COVID-19) has rapidly spread worldwide, there are growing concerns about patients' mental health. We investigated psychological problems in COVID-19 patients assessed with self-reported questionnaires including the Patient Health Questionnaire-9, Generalized Anxiety Disorder-7 scale, and Impact of Event Scale-Revised Korean version. Ten patients who recovered from COVID-19 pneumonia without complications underwent self-reported questionnaires about 1 month after discharge. Of them, 10% reported depression and posttraumatic stress disorder (PTSD) while 50% had depression during the treatment. Perceived stigma and history of psychiatric treatment affected PTSD symptom severity, consistent with previous emerging infectious diseases. Survivors also reported that they were concerned about infecting others and being discriminated and that they chose to avoid others after discharge. Further support and strategy to minimize their psychosocial difficulties after discharge should be considered.