BACES score: a predictor of health-related quality of life and associated factors in patients with nontuberculous mycobacterial pulmonary disease.

The evaluation of health-related quality of life (HRQOL) is gaining importance among patients with nontuberculous mycobacterial pulmonary disease (NTM-PD). We assessed whether the BACES score reflects HRQOL and associated factors in these patients. Data were collected from the nationwide NTM-KOREA prospective cohort of patients with NTM-PD who started antibiotic treatment and included symptoms, Quality of Life-Bronchiectasis (QOL-B) questionnaire, nutritional status using the Mini Nutritional Assessment-Short Form (MNA-SF) and Prognostic Nutritional Index (PNI), physical activity, body composition, spirometry, handgrip strength, and 6-min walking distance.

Development and Validation of a Clinical Scoring System Predicting 30-Day Mortality in Acute Exacerbation of Idiopathic Pulmonary Fibrosis.

Background And Objectives: Acute exacerbation (AE) of idiopathic pulmonary fibrosis (IPF) is a frequent and fatal complication of IPF, with highly variable individual outcomes that are challenging to predict.

Methods: This study included patients (≥ 19 years) who met the diagnostic criteria for AE-IPF. The primary outcome was 30-day mortality following hospital admission.

Revealing differential psychotic symptoms in schizophrenia and bipolar I disorder by manifold learning and network analyses.

The field of psychiatry has encountered ongoing challenges in understanding the intricate nature of psychotic symptoms, particularly when they manifest in individuals diagnosed with bipolar disorder or schizophrenia. In this study, we employed manifold and network analyses to investigate whether the pattern of symptom occurrence differs between schizophrenia and bipolar I disorder. We analyzed data collected from 555 individuals, 282 of whom were diagnosed with schizophrenia-related disorders and 273 with bipolar I disorder.

External validation of the international immunoglobulin A nephropathy (IgAN) prediction tool in Korean children with IgAN.

Background: The International IgA nephropathy (IgAN) Prediction Tool was recently updated to predict the risk of a 30% decline in estimated glomerular filtration rate (eGFR) or kidney failure in children with IgAN. We aimed to evaluate the clinical performance of this tool in a Korean cohort of children with IgAN.

Methods: We calculated the predicted risk for biopsy-proven IgAN children from 20 Korean centers.

Temporal Trends in Public Stroke Awareness in Korea, 2009 to 2023.

Background: No large-scale survey on public stroke awareness has been conducted in Korea since 2009. This study assessed temporal trends in awareness of stroke warning signs (WSs) and risk factors (RFs) from 2009 to 2023. We hypothesized that stroke awareness remains inadequate and that changes in information sources have influenced the depth of knowledge.

Procedure Time of Endovascular Thrombectomy as Performance Measure of Acute Stroke Treatment.

Purpose: Procedure time (PT), defined as the time between groin access and vessel recanalization, is a recently recognized predictor of outcomes after endovascular thrombectomy (EVT) for acute ischemic stroke (AIS). However, the factors affecting PT and its potential value as a performance measure of AIS treatment remain unexplored.

Materials And Methods: Using the Korean Stroke Registry, we compared patients who underwent EVT for AIS from 2018 to 2022 based on 60 minutes PT.

Predicting Respiratory Disease Mortality Risk Using Open-Source AI on Chest Radiographs in an Asian Health Screening Population.

Purpose To assess the prognostic value of an open-source deep learning-based chest radiographs algorithm, CXR-Lung-Risk, for stratifying respiratory disease mortality risk among an Asian health screening population using baseline and follow-up chest radiographs. Materials and Methods This single-center, retrospective study analyzed chest radiographs from individuals who underwent health screenings between January 2004 and June 2018. The CXR-Lung-Risk scores from baseline chest radiographs were externally tested for predicting mortality due to lung disease or lung cancer, using competing risk analysis, with adjustments made for clinical factors.

Risk factors and transitional probability of clinical events in Korean CKD patients using the multistate model.

Korean chronic kidney disease (CKD) patients have relatively low cardiovascular disease (CVD) and high end stage kidney disease (ESKD) incidence rates. Using the multi-state model this study analyzed the 5- and 10-year cumulative hazard estimates, transition probabilities and risk factors associated with the five clinical transitions; ESKD, CVD, CVD to death, ESKD to death and death. CKD stages 1-4 patients from the KoreaN Cohort Study for Outcome in Patients With Chronic Kidney Disease cohort were included.

Kidney function and bone mineral density in chronic kidney disease patients.

Background: Bone mineral density (BMD) predicts fracture risk in patients with chronic kidney disease (CKD) and in the general population. However, few studies have investigated risk factors for bone loss in patients with CKD. The aim of this study was to investigate whether renal function is associated with the rate of BMD decline.

Performance of New Race-Free eGFR Equations for Predicting Complications in Chronic Kidney Disease: From the KNOW-CKD Study.

Introduction: The National Kidney Foundation (NKF) and the American Society of Nephrology (ASN) developed new race-free eGFR equations and recommended using these new equations in 2021. However, clinical implication of these new equations is not determined in Korean adults. Thus, this study aimed to evaluate performances of these new race-free eGFR equations in predicting complications in Korean chronic kidney disease (CKD) patients.

Machine learning prediction model of the treatment response in schizophrenia reveals the importance of metabolic and subjective characteristics.

Predicting early treatment response in schizophrenia is pivotal for selecting the best therapeutic approach. Utilizing machine learning (ML) technique, we aimed to formulate a model predicting antipsychotic treatment outcomes. Data were obtained from 299 patients with schizophrenia from three multicenter, open-label, non-comparative clinical trials.

Association between urine creatinine excretion and bone mineral density in chronic kidney disease: Results from the KNOW-CKD study.

Background: Decreased lean body mass or muscle mass is associated with decreased bone mineral density in individuals with preserved renal function. However, the association between muscle mass and bone mineral density in chronic kidney disease (CKD) patients is not well known. The aim of this study was to assess the relationship between muscle mass estimated from urine creatinine (UCr) and bone mineral density in Korean CKD patients.

Statin Use and the Progression of Coronary Artery Calcification in CKD: Findings From the KNOW-CKD Study.

Introduction: Statin treatment can reduce the risk of cardiovascular disease (CVD). Paradoxically, previous studies have shown that the use of statin is associated with the progression coronary artery calcification (CAC), a well-known predictor of CVD, in individuals with preserved renal function or in patients on dialysis. However, little is known about the association in patients with predialysis chronic kidney disease (CKD).

Identifying clinical and proteomic markers for early diagnosis and prognosis prediction of major psychiatric disorders.

Background: To clarify if blood proteins can predict disease progression among individuals at clinical high-risk of severe mental illness (CHR-SMI), we developed a statistical model incorporating clinical and blood protein markers to distinguish the transition group (who developed severe mental illness) (CHR-SMI-T) and from non-transition group (CHR-SMI-NT) at baseline.

Methods: Ninety individuals (74 at CHR-SMI: 16 patients) were monitored for ≤4 years and were the focus of predictive models. Three predictive models (1 [100 clinical variables], 2 [158 peptides], and 3 [100 clinical variables +158 peptides]) were evaluated using area under the receiver operating characteristic (AUROC) values.

Modeling the Determinants of Subjective Well-Being in Schizophrenia.

Background: The ultimate goal of successful schizophrenia treatment is not just to alleviate psychotic symptoms, but also to reduce distress and achieve subjective well-being (SWB). We aimed to identify the determinants of SWB and their interrelationships in schizophrenia.

Methods: Data were obtained from 637 patients with schizophrenia enrolled in multicenter, open-label, non-comparative clinical trials.

Association of Handgrip Strength and Nutritional Status in Non-Dialysis-Dependent Chronic Kidney Disease Patients: Results from the KNOW-CKD Study.

Handgrip strength (HGS) is suggested as an indirect assessment of nutritional status in chronic kidney disease (CKD) patients, but evidence is limited for non-dialysis-dependent CKD (NDD-CKD) patients. This cross-sectional study included 404 patients from the Phase II KoreaN Cohort Study for Outcome in Patients With CKD. HGS, measured twice in each hand, was the exposure, and malnutrition status was defined by a malnutrition-inflammation score (MIS) of 6 or higher.

Regional disparities in prehospital delay of acute ischemic stroke: The Korean Stroke Registry.

Background: Late hospital arrival keeps patients with stroke from receiving recanalization therapy and is associated with poor outcomes. This study used a nationwide acute stroke registry to investigate the trends and regional disparities in prehospital delay and analyze the significant factors associated with late arrivals.

Methods: Patients with acute ischemic stroke or transient ischemic attack between January 2012 and December 2021 were included.

Integrated proteomic and genomic analysis to identify predictive biomarkers for valproate response in bipolar disorder: a 6-month follow-up study.

Background: Several genetic studies have been undertaken to elucidate the intricate interplay between genetics and drug responses in bipolar disorder (BD). However, there has been notably limited research on biomarkers specifically linked to valproate, with only a few studies investigating integrated proteomic and genomic factors in response to valproate treatment. Therefore, this study aimed to identify biological markers for the therapeutic response to valproate treatment in BD.

Longitudinal progression trajectory of estimated glomerular filtration rate in children with chronic kidney disease: results from the KNOW-Ped CKD (KoreaN cohort study for Outcomes in patients With Pediatric Chronic Kidney Disease).

Background: The natural course of chronic kidney disease (CKD) progression in children varies according to their underlying conditions. This study aims to identify different patterns of subsequent decline in kidney function and investigate factors associated with different patterns of estimated glomerular filtration rate (eGFR) trajectories.

Methods: We analyzed data from the KNOW-Ped CKD (KoreaN cohort study for Outcomes in patients With Pediatric Chronic Kidney Disease), which is a longitudinal, prospective cohort study.

A predictive model for lymph node metastasis using tumor location in presumed early-stage endometrioid endometrial cancer patients.

Objective: The aim of this study was to identify high- and low-risk subgroups of patients with lymph node (LN) metastasis in presumed early-stage endometrioid endometrial cancer (EC) patients.

Methods: Clinicopathologic data of presumed early-stage endometrioid EC patients (n=361) treated with lymphadenectomy between March 2000 and July 2022 were analyzed. None of the patient had definite evidence of LN metastasis in a preoperative magnetic resonance imaging (MRI).

The association of time-updated ambulatory blood pressure and renal progression in hypertensive patients with chronic kidney disease: post hoc analysis of ACCURATE study.

Objectives: : This study aimed to evaluate the effect of time-updated ambulatory blood pressure on chronic kidney disease (CKD) progression in patients with hypertension.

Methods: : Among patients with hypertension and CKD stages 3 and 4, enrolled in a clinical trial in which hypertension was treated based on office or ambulatory blood pressure (BP), participants assigned to the ambulatory BP were included in this study. Ambulatory BP was measured at the start of the study and 3, 6, and 18 months.

Bias reduction for semi-competing risks frailty model with rare events: application to a chronic kidney disease cohort study in South Korea.

In a semi-competing risks model in which a terminal event censors a non-terminal event but not vice versa, the conventional method can predict clinical outcomes by maximizing likelihood estimation. However, this method can produce unreliable or biased estimators when the number of events in the datasets is small. Specifically, parameter estimates may converge to infinity, or their standard errors can be very large.

Association between initial clozapine titration and pneumonia risk among patients with schizophrenia in a Korean tertiary hospital.

Pneumonia is a significant adverse drug reaction (ADR) associated with clozapine, characterized by high mortality and potential linkage with other inflammatory responses. Despite the critical nature, research regarding the development of pneumonia during initial clozapine titration remains limited. This retrospective study included 1408 Korean inpatients with schizophrenia spectrum disorders.