Incidence of invasive fungal diseases in inflammatory bowel disease patients: A nationwide study in South Korea.

BACKGROUND: Limited reports exist regarding invasive fungal diseases (IFDs) in inflammatory bowel disease (IBD) patients. OBJECTIVES: This study aims to investigate the incidence and risk factors of IFDs, specifically invasive candidiasis, aspergillosis and pneumocystosis, in IBD patients in South Korea using nationwide data. PATIENTS/METHODS: A population-based retrospective cohort of 42,913 IBD patients between January 2010 and December 2018 was evaluated using the Health Insurance Review and Assessment database. The primary outcome was the incidence of IFDs, including invasive candidiasis, aspergillosis and pneumocystosis, while the secondary outcome involved analysing the risk factors associated with each specific infection. RESULTS: The study included a total of 42,913 IBD patients, with 29,909 (69.7%) diagnosed with ulcerative colitis (UC) and 13,004 (30.3%) diagnosed with Crohn's disease (CD). IFDs occurred in 166 IBD patients (0.4%), with 93 cases in UC patients and 73 cases in CD patients. The incidence rates of invasive candidiasis, aspergillosis and pneumocystosis in IBD patients were 0.71 per 1000 person-years (PYs), 0.15 per 1000 PYs and 0.12 per 1000 PYs, respectively. The cumulative incidence of invasive candidiasis (adjusted p-value <.001) and Pneumocystosis (adjusted p-value = .012) was found to be higher in CD patients than in UC patients. Each IFD had different risk factors, including IBD subtypes, age at diagnosis, anti-tumour necrotic factor agents or the Charlson comorbidity index. CONCLUSION: Based on nationwide data in South Korea, this study shows that IFDs occur consistently in patients with IBD, albeit with a low frequency.

Blood Concentrations of Lead, Cadmium, and Mercury Are Associated With Alcohol-Related Liver Disease.

BACKGROUND: An association between environmental pollutants and alcohol-related liver disease (ALD) has not been determined until now. The objectives of this study were to examine the association of the pollutants with ALD, and whether the pollutants together increased the risk of ALD. METHODS: Data were extracted from the Korea National Health and Nutrition Examination Survey (2010-2013 and 2016-2017; n = 11,993). Blood levels of lead, cadmium, and mercury were measured. ALD was defined by a combination of excessive alcohol consumption and ALD/non-alcoholic fatty liver disease index > 0. The aspartate aminotransferase-to-platelet ratio index and fibrosis (FIB)-4 score were used to evaluate ALD FIB. RESULTS: The odds ratios (ORs) of ALD for the highest versus the lowest quartiles of exposure were for lead, 7.39 (95% confidence interval [CI], 5.51-9.91); cadmium, 1.68 (95% CI, 1.32-2.14); and mercury, 5.03 (95% CI, 3.88-6.53). Adjusting for age, gender, smoking, occupation, education, and personal income attenuated the associations but indicated significant positive trends (all Ptrend < 0.001). A positive additive interaction between cadmium and lead was observed. The relative excess OR due to the interaction was 0.96 (95% CI, 0.41-1.51); synergy index = 2.92 (95% CI, 0.97-8.80). Among 951 subjects with ALD, advanced FIB was associated with lead and cadmium (OR, 3.46, 95% CI, 1.84-6.53; OR, 8.50, 95% CI, 2.54-28.42, respectively), but not with mercury. The effect estimates for lead and cadmium remained significant even after adjustment for daily alcohol intake. CONCLUSION: Blood levels of lead, cadmium, and mercury were significantly associated not only with the risk of ALD but also with ALD FIB. Cadmium and lead have synergistic effects that increase the risk of ALD.

Impact of Target Lesion Revascularization on Long-Term Mortality After Percutaneous Coronary Intervention for Left Main Disease.

BACKGROUND: Although target lesion revascularization (TLR) after percutaneous coronary intervention (PCI) for unprotected left main coronary artery (LMCA) disease is not rare, its timing of occurrence and prognostic impact on long-term mortality is uncertain. OBJECTIVES: This study sought to investigate TLR incidence over time and its impact on mortality after PCI with drug-eluting stents (DES) for LMCA disease. METHODS: Using a pooled data from 4 multicenter observational registries (IRIS-DES [Interventional Cardiology Research Incorporation Society-Drug-Eluting Stents], IRIS-MAIN [Interventional Cardiology Research Incorporation Society-Left MAIN Revascularization], MAIN-COMPARE [Revascularization for Unprotected Left Main Coronary Artery Stenosis: Comparison of Percutaneous Coronary Angioplasty Versus Surgical Revascularization], and PRECOMBAT [PREmier of Randomized COMparison of Bypass Surgery versus AngioplasTy Using Drug-Eluting Stent in Patients with Left Main Coronary Artery Disease]), we evaluated 1,397 patients with LMCA disease treated with DES and available long-term mortality data. The association between TLR and the 10-year risk of mortality was examined by multivariable Cox proportional hazards regression, with TLR as a time-varying covariate. RESULTS: During maximum follow-up of 10 years (median 6.8 years), TLR occurred in 118 patients and its 10-year cumulative incidence was 10.8%. TLR mostly occurred within 2 years after initial PCI and decreased over time: early-stage TLR (within 2 years) in 73 (61.9%) patients and late-stage TLR (beyond 2 years) in 45 (38.1%) patients. Among all TLR patients, 23 patients underwent coronary artery bypass grafting and 95 underwent repeat PCI. In the time-varying multivariable Cox model, the presence of TLR was not significantly associated with an increased risk of mortality (adjusted HR: 0.90; 95% CI: 0.50-1.63; P = 0.73). CONCLUSIONS: Although the incidence of ischemia-driven TLR was mostly common within 2 years after left main PCI, TLR occurred steadily during the 10-year follow-up period. However, given that such patients were optimally revascularized, the prognostic impact of TLR on mortality was not substantial. (Evaluation of the First, Second, and New Drug-Eluting Stents in Routine Clinical Practice [IRIS-DES]; NCT01186133; Observational Study for Left Main Disease Treatment [IRIS-MAIN]; NCT01341327; Ten-Year Outcomes of Stents Versus Coronary-Artery Bypass Grafting for Left Main Coronary Artery Disease [MAIN COMPARE]; NCT02791412; Bypass Surgery Versus Angioplasty Using Sirolimus-Eluting Stent in Patients With Left Main Coronary Artery Disease [PRECOMBAT]; NCT00422968).

A Machine Learning-Based Diagnostic Model for Crohn's Disease and Ulcerative Colitis Utilizing Fecal Microbiome Analysis.

Recent research has demonstrated the potential of fecal microbiome analysis using machine learning (ML) in the diagnosis of inflammatory bowel disease (IBD), mainly Crohn's disease (CD) and ulcerative colitis (UC). This study employed the sparse partial least squares discriminant analysis (sPLS-DA) ML technique to develop a robust prediction model for distinguishing among CD, UC, and healthy controls (HCs) based on fecal microbiome data. Using data from multicenter cohorts, we conducted 16S rRNA gene sequencing of fecal samples from patients with CD (n = 671) and UC (n = 114) while forming an HC cohort of 1462 individuals from the Kangbuk Samsung Hospital Healthcare Screening Center. A streamlined pipeline based on HmmUFOTU was used. After a series of filtering steps, 1517 phylotypes and 1846 samples were retained for subsequent analysis. After 100 rounds of downsampling with age, sex, and sample size matching, and division into training and test sets, we constructed two binary prediction models to distinguish between IBD and HC and CD and UC using the training set. The binary prediction models exhibited high accuracy and area under the curve (for differentiating IBD from HC (mean accuracy, 0.950; AUC, 0.992) and CD from UC (mean accuracy, 0.945; AUC, 0.988)), respectively, in the test set. This study underscores the diagnostic potential of an ML model based on sPLS-DA, utilizing fecal microbiome analysis, highlighting its ability to differentiate between IBD and HC and distinguish CD from UC.