No abstract available.
Colitis, Ulcerative* ; Ulcer*

PURPOSE: An umbilical arterial catheter (UAC) in the high position reduces the lumen of the aorta and may thereby impair blood supply to the intestine. Effects of UAC on intestinal blood flow were investigated. METHODS: With the measurement of the aortic diameter, pulsed Doppler ultrasonography was performed in 23 fasting newborns to measure blood flow velocities (peak systolic velocity, end-diastolic velocity, mean velocity, time velocity integral and resistive index) in the celiac trunk (CT) and the superior mesenteric artery (SMA) before and after removal of the UAC in the high position. RESULTS: UAC reduced the cross-sectional area of the aorta by 3.5-15.0% (mean 7.5%), with the percentage of reduction being inversely related to birth weight (r=-0.86, P<0.0001). Blood flow velocities in the CT and the SMA did not change significantly after removal of the UACl left in place for 7 days. There were also no differences in blood flow velocities pre- and postremoval of the UAC which stayed in place for 17.3 days and caused a mean aortic obstruction of 11.7%. However, a longer indwelling time of the UAC may lead to a higher velocity in the CT with UAC in place, as reflected by a correlation by multiple regression analysis (r=0.42, P=0.045). CONCLUSION: Although UAC remaining in place for up to 2 weeks in fasting newborns does not lead to direct alterations in blood supply to the intestine, the possibility of blood flow impairment to abdominal organs by prolonged use cannot be excluded.
Aorta ; Birth Weight ; Blood Flow Velocity ; Catheterization* ; Catheters* ; Fasting ; Hemodynamics* ; Humans ; Infant, Newborn ; Intestines ; Mesenteric Artery, Superior ; Ultrasonography, Doppler, Pulsed

Purpose: Several artificial intelligence (AI) models for the detection and prediction of cardiovascular-related diseases, including arrhythmias, diabetes, and sleep apnea, have been reported. This systematic review and meta-analysis aimed to identify AI models developed for or applicable to wearable and mobile devices for diverse cardiovascular-related diseases. Materials and Methods: The searched databases included Medline, Embase, and Cochrane Library. For AI models for atrial fibrillation (AF) detection, a meta-analysis of diagnostic accuracy was performed to summarize sensitivity and specificity. Results: A total of 102 studies were included in the qualitative review. There were AI models for the detection of arrythmia (n=62), followed by sleep apnea (n=11), peripheral vascular diseases (n=6), diabetes mellitus (n=5), hyper/hypotension (n=5), valvular heart disease (n=4), heart failure (n=3), myocardial infarction and cardiac arrest (n=2), and others (n=4). For quantitative analysis of 26 studies reporting AI models for AF detection, meta-analyzed sensitivity was 94.80% and specificity was 96.96%. Deep neural networks showed superior performance [meta-analyzed area under receiver operating characteristics curve (AUROC) of 0.981] compared to conventional machine learning algorithms (meta-analyzed AUROC of 0.961). However, AI models tested with proprietary dataset (meta-analyzed AUROC of 0.972) or data acquired from wearable devices (meta-analyzed AUROC of 0.977) showed inferior performance than those with public dataset (meta-analyzed AUROC of 0.986) or data from in-hospital devices (meta-analyzed AUROC of 0.983). Conclusion This review found that AI models for diverse cardiovascular-related diseases are being developed, and that they are gradually developing into a form that is suitable for wearable and mobile devices.

Aneurysms of the left main coronary artery are very rare in patients with acute coronary syndrome. The increased accuracy of computed tomography permits the detection of coronary artery anatomic structures after one peripheral injection of contrast agent. We report a 42-year-old man with a left main coronary aneurysm, with a thrombus presenting as non-ST elevation myocardial infarction, detected by coronary computed tomographic angiography.
Acute Coronary Syndrome ; Adult ; Aneurysm ; Angiography* ; Coronary Aneurysm* ; Coronary Angiography ; Coronary Vessels ; Humans ; Myocardial Infarction* ; Thrombosis*

Aneurysms of the left main coronary artery are very rare in patients with acute coronary syndrome. The increased accuracy of computed tomography permits the detection of coronary artery anatomic structures after one peripheral injection of contrast agent. We report a 42-year-old man with a left main coronary aneurysm, with a thrombus presenting as non-ST elevation myocardial infarction, detected by coronary computed tomographic angiography.
Acute Coronary Syndrome ; Adult ; Aneurysm ; Angiography* ; Coronary Aneurysm* ; Coronary Angiography ; Coronary Vessels ; Humans ; Myocardial Infarction* ; Thrombosis*

PURPOSE: Recent experimental evidence shows that extracellular vesicles (EVs) in indoor dust induce neurtrophilic pulmonary inflammation, which is a characteristic pathology in patients with severe asthma and chronic obstructive pulmonary disease (COPD). In addition, COPD is known to be an important risk factor for lung cancer, irrespective of cigarette smoking. Here, we evaluated whether sensitization to indoor dust EVs is a risk for the development of asthma, COPD, or lung cancer. METHODS: Serum IgG antibodies against dust EVs were measured in 90 healthy control subjects, 294 asthmatics, 242 COPD patients, and 325 lung cancer patients. Serum anti-dust EV IgG titers were considered high if they exceeded a 95 percentile value of the control subjects. Age-, gender-, and cigarette smoke-adjusted multiple logistic regression analyses were performed to determine odds ratios (ORs) for asthma, COPD, and lung cancer patients vs the control subjects. RESULTS: In total, 4.4%, 13.6%, 29.3%, and 54.9% of the control, asthma, COPD, and lung cancer groups, respectively, had high serum anti-dust EV IgG titers. Adjusted multiple logistic regression revealed that sensitization to dust EVs (high serum anti-dust EV IgG titer) was an independent risk factor for asthma (adjusted OR, 3.3; 95% confidence interval [CI], 1.1-10.0), COPD (adjusted OR, 8.0; 95% CI, 2.0-32.5) and lung cancer (adjusted OR, 38.7; 95% CI, 10.4-144.3). CONCLUSIONS: IgG sensitization to indoor dust EVs appears to be a major risk for the development of asthma, COPD, and lung cancer.
Antibodies ; Asthma* ; Dust* ; Humans ; Immunoglobulin G* ; Logistic Models ; Lung Neoplasms* ; Lung* ; Odds Ratio ; Pathology ; Pneumonia ; Prevalence* ; Pulmonary Disease, Chronic Obstructive* ; Risk Factors ; Smoking ; Tobacco Products