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Purpose: The use of artificial intelligence (AI) for chest X-ray (CXR) analysis is becoming increasingly prevalent in medical environments. This study aimed to determine whether AI in CXR can unexpectedly detect lung nodule detection and influence patient diagnosis and management in non-respiratory outpatient clinics. Methods: In this retrospective study, patients over 18 years of age, who underwent CXR at Yongin Severance Hospital outpatient clinics between March 2021 and January 2023 and were identified to have lung nodules through AI software, were included. Commercially available AI-based lesion detection software (Lunit INSIGHT CXR) was used to detect lung nodules. Results: Out Of 56,802 radiographic procedures, 40,191 were from non-respiratory departments, with AI detecting lung nodules in 1,754 cases (4.4%). Excluding 139 patients with known lung lesions, 1,615 patients were included in the final analysis. Out of these, 30.7% (495/1,615) underwent respiratory consultation and 31.7% underwent chest CT scans (512/1,615). As a result of the CT scans, 71.5% (366 cases) were found to have true nodules. Among these, the final diagnoses included 36 lung cancers (7.0%, 36/512), 141 lung nodules requiring follow-up (27.5%, 141/512), 114 active pulmonary infections (22.3%, 114/512), and 75 old inflammatory sequelae (14.6%, 75/512). The mean AI nodule score for lung cancer was significantly higher than that for other nodules (56.72 vs. 33.44, p < 0.001). Additionally, active pulmonary infection had a higher consolidation score, and old inflammatory sequelae had the highest fibrosis score, demonstrating differences in the AI analysis among the final diagnosis groups. Conclusion: This study indicates that AI-detected incidental nodule abnormalities on CXR in non-respiratory outpatient clinics result in a substantial number of clinically significant diagnoses, emphasizing AI's role in detecting lung nodules and need for further evaluation and specialist consultation for proper diagnosis and management.
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Anticancer drugs may affect the incidence of dementia by modulating the common pathophysiology between cancer and dementia. However, there is a paucity of research that focused on anticancer drugs with different mechanisms of action and their associations with subtypes of dementia. Therefore, we aimed to investigate the incidence of dementia according to various groups of anticancer drugs. From the Korea National Health Insurance Service database, our retrospective population-based cohort study enrolled 116,506 cancer patients aged 65 years and older who received anticancer drugs between January 1, 2008 and December 31, 2018. The hazard ratio was determined using Cox proportional hazards regression models, comparing each group of anticancer drugs to all other anticancer drugs, after adjusting for covariates. Antimetabolites (HR = 0.91; 95% CI 0.84-0.97) and molecular targeted therapies (HR = 0.60; 95% CI 0.49-0.74) were associated with a decreased incidence of dementia of the Alzheimer type (DAT), but not with vascular dementia. Among molecular targeted therapies, epidermal growth factor receptor inhibitors (HR = 0.60; 95% CI 0.46-0.79) and multikinase inhibitors (HR = 0.49; 95% CI 0.27-0.89) were associated with a low incidence of DAT only. Our findings highlight the potential for targeted repurposing of anticancer drugs to prevent dementia.
Subject(s)
Antineoplastic Agents , Dementia , Molecular Targeted Therapy , Neoplasms , Humans , Male , Aged , Female , Incidence , Antineoplastic Agents/therapeutic use , Retrospective Studies , Dementia/epidemiology , Dementia/drug therapy , Neoplasms/epidemiology , Neoplasms/drug therapy , Republic of Korea/epidemiology , Aged, 80 and over , Proportional Hazards Models , Alzheimer Disease/epidemiology , Alzheimer Disease/drug therapy , Cohort StudiesABSTRACT
This 20-year study (2001-2020) conducted in Jangmok Bay, Korea, assessed the intricate relationships between environmental factors and Noctiluca scintillans blooms. Granger causality tests and PCA analysis were used to assess the impact of sea surface temperature (SST), salinity, dissolved oxygen (DO) concentration, wind patterns, rainfall, and chlorophyll-a (Chl-a) concentration on bloom dynamics. The results revealed significant, albeit delayed, influences of these variables on bloom occurrence, with SST exhibiting a notable 2-month lag and salinity a 1-month lag in their impact. Additionally, the analysis highlighted the significant roles of phosphate, ammonium, and silicate, which influenced N. scintillans blooms with lags of 1 to 3 months. The PCA demonstrates how SST and wind speed during spring and summer, along with wind direction and salinity in winter, significantly impact N. scintillans blooms. We noted not only an increase in large-scale N. scintillans blooms but also a cyclical pattern of occurrence every 3 years. These findings underscore the synergistic effects of environmental factors, highlighting the complex interplay between SST, salinity, DO concentration, and weather conditions to influence bloom patterns. This research enhances our understanding of harmful algal blooms (HABs), emphasizing the importance of a comprehensive approach that considers multiple interconnected environmental variables for predicting and managing N. scintillans blooms.
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Bays , Environmental Monitoring , Harmful Algal Bloom , Republic of Korea , Salinity , Dinoflagellida/growth & development , Seasons , Chlorophyll A/analysis , Seawater/chemistry , Temperature , WindABSTRACT
This study aimed to develop a new simple and effective prognostic model using artificial intelligence (AI)-based chest radiograph (CXR) results to predict the outcomes of pneumonia. Patients aged > 18 years, admitted the treatment of pneumonia between March 2020 and August 2021 were included. We developed prognostic models, including an AI-based consolidation score in addition to the conventional CURB-65 (confusion, urea, respiratory rate, blood pressure, and age ≥ 65) and pneumonia severity index (PSI) for predicting pneumonia outcomes, defined as 30-day mortality during admission. A total of 489 patients, including 310 and 179 patients in training and test sets, were included. In the training set, the AI-based consolidation score on CXR was a significant variable for predicting the outcome (hazard ratio 1.016, 95% confidence interval [CI] 1.001-1.031). The model that combined CURB-65, initial O2 requirement, intubation, and the AI-based consolidation score showed a significantly high C-index of 0.692 (95% CI 0.628-0.757) compared to other models. In the test set, this model also demonstrated a significantly high C-index of 0.726 (95% CI 0.644-0.809) compared to the conventional CURB-65 and PSI (p < 0.001 and 0.017, respectively). Therefore, a new prognostic model incorporating AI-based CXR results along with traditional pneumonia severity score could be a simple and useful tool for predicting pneumonia outcomes in clinical practice.
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Artificial Intelligence , Pneumonia , Radiography, Thoracic , Humans , Male , Female , Prognosis , Aged , Pneumonia/diagnostic imaging , Pneumonia/mortality , Middle Aged , Radiography, Thoracic/methods , Severity of Illness Index , Aged, 80 and over , Retrospective StudiesABSTRACT
BACKGROUND: Bronchiectasis is a chronic respiratory disease that leads to airway inflammation, destruction, and airflow limitation, which reflects its severity. Impulse oscillometry (IOS) is a non-invasive method that uses sound waves to estimate lung function and airway resistance. The aim of this study was to assess the usefulness of IOS in predicting the severity of bronchiectasis. METHODS: We retrospectively reviewed the IOS parameters and clinical characteristics in 145 patients diagnosed with bronchiectasis between March 2020 and May 2021. Disease severity was evaluated using the FACED score, and patients were divided into mild and moderate/severe groups. RESULTS: Forty-four patients (30.3%) were in the moderate/severe group, and 101 (69.7%) were in the mild group. Patients with moderate/severe bronchiectasis had a higher airway resistance at 5 Hz (R5), a higher difference between the resistance at 5 and 20 Hz (R5-R20), a higher resonant frequency (Fres), and a higher area of reactance (AX) than patients with mild bronchiectasis. R5 ≥0.43, resistance at 20 Hz (R20) ≥0.234, R5-R20 ≥28.3, AX ≥1.02, reactance at 5 Hz (X5) ≤-0.238, and Fres ≥20.88 revealed significant univariable relationships with bronchiectasis severity (p<0.05). Among these, only X5 ≤-0.238 exhibited a significant multivariable relationship with bronchiectasis severity (p=0.039). The receiver operating characteristic curve for predicting moderate- to-severe bronchiectasis of FACED score based on IOS parameters exhibited an area under the curve of 0.809. CONCLUSION: The IOS assessed by the disease severity of FACED score can effectively reflect airway resistance and elasticity in bronchiectasis patients and serve as valuable tools for predicting bronchiectasis severity.
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Background: Amyloid-ß (Aß) commonly coexists and impacts prognosis in subcortical vascular cognitive impairment (SVCI). Objective: This study aimed to examine the differences in clinical and neuroimaging variables between Aß-positive and Aß-negative SVCI and to propose a prediction model for Aß positivity in clinically diagnosed SVCI patients. Methods: A total of 130 patients with SVCI were included in model development, and a separate cohort of 70 SVCI patients was used in external validation. The variables for the prediction model were selected by comparing the characteristics of the Aß-negative and Aß-positive SVCI groups. The final model was determined using a stepwise method. The model performance was evaluated using the receiver operating characteristic (ROC) curve and a calibration curve. A nomogram was used for visualization. Results: Among 130 SVCI patients, 70 (53.8%) were Aß-positive. The Aß-positive SVCI group was characterized by older age, tendency to be in the dementia stage, a higher prevalence of APOEÉ4, a lower prevalence of lacune, and more severe medial temporal atrophy (MTA). The final prediction model, which excluded MTA grade following the stepwise method for variable selection, demonstrated good accuracy in distinguishing between Aß-positive and Aß-negative SVCI, with an area under the curve (AUC) of 0.80. The external validation demonstrated an AUC of 0.71. Conclusions: The findings suggest that older age, dementia stage, APOEÉ4 carrier, and absence of lacunes may be predictive of Aß positivity in clinically diagnosed SVCI patients.
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Amyloid beta-Peptides , Cognitive Dysfunction , Dementia, Vascular , Humans , Male , Female , Aged , Amyloid beta-Peptides/metabolism , Cognitive Dysfunction/metabolism , Cognitive Dysfunction/diagnostic imaging , Cognitive Dysfunction/diagnosis , Middle Aged , Magnetic Resonance Imaging , Aged, 80 and over , Apolipoprotein E4/geneticsABSTRACT
Parkinson's disease (PD), characterized by dopaminergic neuron degeneration in the substantia nigra, is caused by various genetic and environmental factors. Current treatment methods are medication and surgery; however, a primary therapy has not yet been proposed. In this study, we aimed to develop a new treatment for PD that induces direct reprogramming of dopaminergic neurons (iDAN). Achaete-scute family bHLH transcription factor 1 (ASCL1) is a primary factor that initiates and regulates central nervous system development and induces neurogenesis. In addition, it interacts with BRN2 and MYT1L, which are crucial transcription factors for the direct conversion of fibroblasts into neurons. Overexpression of ASCL1 along with the transcription factors NURR1 and LMX1A can directly reprogram iDANs. Using a retrovirus, GFP-tagged ASCL1 was overexpressed in astrocytes. One week of culture in iDAN convertsion medium reprogrammed the astrocytes into iDANs. After 7 days of differentiation, TH+/TUJ1+ cells emerged. After 2 weeks, the number of mature TH+/TUJ1+ dopaminergic neurons increased. Only ventral midbrain (VM) astrocytes exhibited these results, not cortical astrocytes. Thus, VM astrocytes can undergo direct iDAN reprogramming with ASCL1 alone, in the absence of transcription factors that stimulate dopaminergic neuron development.
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INTRODUCTION: With prevalence of chronic kidney disease (CKD) in worldwide, the strategies to recover renal function via tissue regeneration could provide alternatives to kidney replacement therapies. However, due to relatively low reproducibility of renal basal cells and limited bioactivities of implanted biomaterials along with the high probability of substance-inducible inflammation and immunogenicity, kidney tissue regeneration could be challenging. OBJECTIVES: To exclude various side effects from cell transplantations, in this study, we have induced extracellular vesicles (EVs) incorporated cell-free hybrid PMEZ scaffolds. METHODS: Hybrid PMEZ scaffolds incorporating essential bioactive components, such as ricinoleic acid grafted Mg(OH)2 (M), extracellular matrix (E), and alpha lipoic acid-conjugated ZnO (Z) based on biodegradable porous PLGA (P) platform was successfully manufactured. Consecutively, for functional improvements, melatonin-modulated extracellular vesicles (mEVs), derived from the human umbilical cord MSCs in chemically defined media without serum impurities, were also loaded onto PMEZ scaffolds to construct the multiplexed PMEZ/mEV scaffold. RESULTS: With functionalities of Mg(OH)2 and extracellular matrix-loaded PLGA scaffolds, the continuous nitric oxide-releasing property of modified ZnO and remarkably upregulated regenerative functionalities of mEVs showed significantly enhanced kidney regenerative activities. Based on these, the structural and functional restoration has been practically achieved in 5/6 nephrectomy mouse models that mimicked severe human CKD. CONCLUSION: Our study has proved the combinatory bioactivities of the biodegradable PLGA-based multiplexed scaffold for kidney tissue regeneration in 5/6 nephrectomy mouse representing a severe CKD model. The optimal microenvironments for the morphogenetic formations of renal tissues and functional restorations have successfully achieved the combinatory bioactivities of remarkable components for PMEZ/mEV, which could be a promising therapeutic alternative for CKD treatment.
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BACKGROUND: We investigated the association between established risk factors for breast cancer and mammographic breast density in Korean women. METHODS: This large cross-sectional study included 8 460 928 women aged >40 years, who were screened for breast cancer between 2009 and 2018. Breast density was assessed using the Breast Imaging Reporting and Data System. This study used multiple logistic regression analyses of age, BMI, age at menarche, menopausal status, menopausal age, parity, breastfeeding status, oral contraceptive use, family history of breast cancer, physical activity, smoking, drinking and hormone replacement therapy use to investigate their associations with mammographic breast density. Analyses were performed using SAS software. RESULTS: Of 8 460 928 women, 4 139 869 (48.9%) had nondense breasts and 4 321 059 (51.1%) had dense breasts. Factors associated with dense breasts were: earlier age at menarche [<15 vs. ≥15; adjusted odds ratio (aOR), 1.18; 95% confidence interval (CI), 1.17-1.18], premenopausal status (aOR, 2.01; 95% CI, 2.00-2.02), later age at menopause (≥52 vs. <52; aOR, 1.23; 95% CI, 1.22-1.23), nulliparity (aOR, 1.64; 95% CI, 1.63-1.65), never breastfed (aOR, 1.23; 95% CI, 1.23-1.24) and use of hormone replacement therapy (aOR, 1.29; 95% CI, 1.28-1.29). Women with a higher BMI and the use of oral contraceptives were more likely to have nondense breasts. CONCLUSION: Lower BMI, reproductive health and behavioral factors were associated with dense breasts in Korean women. Additional research should investigate the relationship between mammographic breast density, breast cancer risk factors and breast cancer risk.
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Breast Density , Breast Neoplasms , Mammography , Humans , Female , Breast Neoplasms/epidemiology , Breast Neoplasms/diagnostic imaging , Breast Neoplasms/etiology , Breast Neoplasms/pathology , Cross-Sectional Studies , Republic of Korea/epidemiology , Risk Factors , Middle Aged , Adult , Mammography/statistics & numerical data , Aged , Menarche , Early Detection of Cancer/methods , Early Detection of Cancer/statistics & numerical data , Breast/diagnostic imaging , Breast/pathology , MenopauseABSTRACT
BACKGROUND: As the importance of a healthy work environment for nurses' good practice and patient safety has been recognized, there is a need to assess nurses' perceptions of the quality of a healthy work environment. METHODS: A conceptual framework and construct components were extracted through a literature review and in-depth interviews with shift nurses. The initial items of the instrument were developed according to the conceptual attributes, and the items were selected through content validity by ten experts. Two hundred and forty-seven shift nurses participated in this study through face-to-face surveys to test the reliability and validity of the instrument. The evaluation was used for item and confirmatory factor analyses to assess the criterion-related validity and internal consistency of the instrument. Test-retest reliability was analyzed using data from thirty-two nurses. RESULTS: The final instrument consisted of 23 items with five components identified through confirmatory factor analysis. Criterion-related validity was established using the K-PES-NWI (r = .54). Cronbach's alpha for the total items was 0.85, and test-retest reliability was 0.73. CONCLUSION: The quality of the healthy work environment instrument developed in this study was considered reliable and valid. The instrument developed in this study can be used to measure the quality of a healthy work environment as perceived by shift nurses and to identify preventive measures needed to improve the quality of the work environment.
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INTRODUCTION AND IMPORTANCE: Immune checkpoint inhibitors (ICIs) have noticeably enhanced oncologic outcomes associated with patient survival in different subtypes of metastatic cancer by enhancing cytotoxic T-cell activity. ICI-associated toxicities are often referred to as immune-related adverse events (irAEs) and occur in nearly every organ system. However, the effect of ICIs on the skeleton is poorly examined, and only a few case series have been published. CASE PRESENTATION: A 37-year-old man who presented with pathologic fractures of the right proximal humerus during adjuvant pembrolizumab therapy following laparoscopic radical nephrectomy for right renal cell carcinoma. CLINICAL DISCUSSION: ICIs are associated with various irAEs virtually affecting all host tissues, most of which have been described well by pharmacovigilance analyses. However, to date, very few studies have examined the effects of ICI on the skeleton. CONCLUSION: Urologic oncologists and urologists should be aware of the rare but potentially fatal bone side effects of ICIs.
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BACKGROUND/OBJECTIVES: Sex-specific differences in obesity-related metabolic characteristics of non-alcoholic fatty liver disease (NAFLD) have rarely been explored, particularly in children with biopsy-verified NAFLD. The influence of sex hormones on ectopic fat disposition may cause inter-sex differences in various metabolic factors. This study aimed to assess the sex-based differences in ectopic fat and metabolic characteristics in children with NAFLD. SUBJECT/METHODS: We enrolled 63 children with biopsy-verified NAFLD (48 boys; mean age, 12.9 ± 3.2 years; mean body mass index z-score [BMI-z], 2.49 ± 1.21). Ectopic fat in the liver and pancreas was quantified based on magnetic resonance imaging within 2 days of the liver biopsy. Laboratory tests, body composition, blood pressure, and anthropometric measurements were also assessed. RESULTS: Sex-based differences were neither observed in age, BMI-z, or total body fat percentage nor in the proportions of obesity, abdominal obesity, diabetes, dyslipidaemia, hypertension, or metabolic syndrome. Furthermore, liver enzyme levels, lipid profiles, and pancreatic fat did not differ between the sexes. However, boys had significantly higher fasting insulin (median 133.2 vs. 97.8 pmol/L; p = 0.039), fasting plasma glucose (median 5.30 vs. 4.83 mmol/L; p = 0.013), homeostasis model assessment of insulin resistance (median 5.4 vs. 3.6; p = 0.025), serum uric acid (404.1 ± 101.2 vs. 322.4 ± 87.1 µmol/L; p = 0.009), and liver fat (median 26.3% vs. 16.3%; p = 0.014). CONCLUSIONS: Male-predominant hepatic steatosis and insulin resistance caused by sex-specific ectopic fat accumulation may contribute to higher uric acid levels in boys than in girls with NAFLD.
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Insulin Resistance , Non-alcoholic Fatty Liver Disease , Humans , Male , Female , Child , Adolescent , Uric Acid , Sex Characteristics , Liver/pathology , Obesity , Body Mass IndexABSTRACT
Amine derivatives are signature organic compounds generated from rotten protein food. Thus, sensitive detection of the presence of amines in protein foods can be a critical technique for monitoring their quality. In this study, we develop an organic chemosensor probe, 4-(2-(3-(dicyanomethylene)- 5,5-dimethylcyclohex-1-en-1-yl)vinyl)-N,N-diethylbenzenaminium chloride (DEAH), to effectively detect amines through discernible bimodal (colorimetric and fluorometric) changes. By exploiting the amine-triggered intramolecular charge transfer behavior, DEAH exhibits rapid color changes (<1 s) with an excellent detection limit (36.9 nM) and also fluorescence turn-on in response to amine gas. Moreover, it possesses detection capabilities in versatile conditions, including solutions, solids, and coated films, suggesting its practical applicability. In particular, DEAH shows dramatic color change from yellow to violet with exceptional color difference (â³Eab) over 98, repeatable usability, and excellent selectivity to amines. Based on these compelling advantages, we successfully demonstrate real-time monitoring of amine gas generated from spoiled protein foods using DEAH-coated films.
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Amines , Colorimetry , Colorimetry/methods , Fluorometry , Food , Spectrometry, FluorescenceABSTRACT
Objective: The clinical manifestations of tuberculosis (TB) range from asymptomatic to disseminated depending on the microbiological and immunological status, making the diagnosis challenging. To improve our understanding of the disease progression mechanism, we aimed to identify the characteristics of subclinical TB and important predictors of symptom development. Methods: From July 2018 to June 2019, we systemically collected data from the National Surveillance System of South Korea on patients with pulmonary TB, and compared the characteristics of subclinical and active symptomatic TB patients. Results: A total of 4,636 patients with pulmonary TB were included, and the prevalence of subclinical TB was 37.1% (1,720/4,636). In subclinical TB patients, the positivity rates of acid-fast bacilli (AFB) smear and culture were 16.2 and 50.2%, respectively. Subclinical TB patients were younger (55.6 ± 19.2 vs. 60.7 ± 19.5, P < 0.001), had a higher body mass index (21.7 ± 3.1 vs. 21.0 ± 3.5, P < 0.001), less under Medicaid support, and had lower rates of chronic lung disease, AFB smear and culture positivity, and bilateral disease. Regarding the characteristic differences of individual TB-related symptoms, age was positively associated with dyspnoea and general weakness but negatively associated with chest pain, haemoptysis, and weight loss. Male patients were more prone to weight loss. Chronic lung disease was related to symptoms including cough/phlegm, dyspnoea, and haemoptysis, while autoimmune diseases were associated with fever and weight loss. Conclusions: The development of TB-related symptoms was associated with microbiological burden and clinical characteristics including underlying comorbidities, which should be evaluated carefully.
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Hemoptysis , Tuberculosis , Humans , Male , Prospective Studies , Tuberculosis/epidemiology , Tuberculosis/diagnosis , Registries , Dyspnea , Weight LossABSTRACT
Objectives This study aimed to investigate whether rapid weight gain in early life was associated with the severity of respiratory syncytial virus (RSV) bronchiolitis in children. Methods We retrospectively reviewed 190 patients (124 months) hospitalized for RSV bronchiolitis. Parameters of bronchiolitis severity were compared between rapid (change in weight z-score from birth >0.67, n = 65) and normal weight gain groups (n = 125). We assessed for correlations between bronchiolitis severity and weight gain. Linear regression was performed to predict for bronchiolitis severity based on weight gain, controlling for covariates. SPSS was used for statistical analyses. Results The rapid weight gain group had longer mean durations of tachypnea (2.3±2.0 vs. 1.7±1.8 days, P = 0.027), wheezing (3.2±2.5 vs. 1.6±1.8 days, P < 0.001), and chest retractions (1.5±2.2 vs. 0.6±1.3 days, P = 0.007). Correlations of weight gain with tachypnea (r = 0.146), wheezing (r = 0.279), and chest retractions (r = 0.179) were statistically significant. Weight gain predicted for tachypnea (B = 0.485, P = 0.013) and wheezing (B = 0.846, P = 0.001) durations after adjusting for covariates of severity (age, sex, current weight, RSV type, coinfection, recurrent bronchiolitis, hospital stay, fever, oxygen supplementation, maximal respiratory and heart rates, and laboratory indices). Conclusions Our findings suggest an association between weight gain and severity of RSV bronchiolitis in young children. Weight gain was significantly associated with the durations of tachypnea and wheezing. The trajectory of weight gain in early life may play a significant role in the clinical course of RSV bronchiolitis (AU)