Wheezing Characteristics and Predicting Reactivity to Inhaled ß2-Agonist in Children for Home Medical Care.

Background: Given that wheezing is treated with inhaled ß2-agonists, their effect should be reviewed before the condition becomes severe; however, few methods can currently predict reactivity to inhaled ß2-agonists. We investigated whether preinhalation wheezing characteristics identified by lung sound analysis can predict reactivity to inhaled ß2-agonists. Methods: In 202 children aged 10-153 months, wheezing was identified by auscultation. Lung sounds were recorded for 30 s in the chest region on the chest wall during tidal breathing. We analyzed the wheezing before and after ß2-agonist inhalation. Wheezing was displayed as horizontal bars of intensity defined as a wheeze power band, and the wheezing characteristics (number, frequency, and maximum intensity frequency) were evaluated by lung sound analysis. The participants were divided into two groups: non-disappears (wheezing did not disappear after inhalation) and disappears (wheezing disappeared after inhalation). Wheezing characteristics before ß2-agonist inhalation were compared between the two groups. The characteristics of wheezing were not affected by body size. The number of wheeze power bands of the non-responder group was significantly higher than those of the responder group (P < 0.001). The number of wheeze power bands was a predictor of reactivity to inhaled ß2-agonists, with a cutoff of 11.1. The 95% confidence intervals of sensitivity, specificity, and positive and negative predictive values were 88.8, 42, 44, and 81.1% (P < 0.001), respectively. Conclusions: The number of preinhalation wheeze power bands shown by lung sound analysis was a useful indicator before treatment. This indicator could be a beneficial index for managing wheezing in young children.

Wheeze Recognition Algorithm for Remote Medical Care Device in Children: Validation Study.

BACKGROUND: Since 2020, peoples' lifestyles have been largely changed due to the COVID-19 pandemic worldwide. In the medical field, although many patients prefer remote medical care, this prevents the physician from examining the patient directly; thus, it is important for patients to accurately convey their condition to the physician. Accordingly, remote medical care should be implemented and adaptable home medical devices are required. However, only a few highly accurate home medical devices are available for automatic wheeze detection as an exacerbation sign. OBJECTIVE: We developed a new handy home medical device with an automatic wheeze recognition algorithm, which is available for clinical use in noisy environments such as a pediatric consultation room or at home. Moreover, the examination time is only 30 seconds, since young children cannot endure a long examination time without crying or moving. The aim of this study was to validate the developed automatic wheeze recognition algorithm as a clinical medical device in children at different institutions. METHODS: A total of 374 children aged 4-107 months in pediatric consultation rooms of 10 institutions were enrolled in this study. All participants aged ≥6 years were diagnosed with bronchial asthma and patients ≤5 years had reported at least three episodes of wheezes. Wheezes were detected by auscultation with a stethoscope and recorded for 30 seconds using the wheeze recognition algorithm device (HWZ-1000T) developed based on wheeze characteristics following the Computerized Respiratory Sound Analysis guideline, where the dominant frequency and duration of a wheeze were >100 Hz and >100 ms, respectively. Files containing recorded lung sounds were assessed by each specialist physician and divided into two groups: 177 designated as "wheeze" files and 197 as "no-wheeze" files. Wheeze recognitions were compared between specialist physicians who recorded lung sounds and those recorded using the wheeze recognition algorithm. We calculated the sensitivity, specificity, positive predictive value, and negative predictive value for all recorded sound files, and evaluated the influence of age and sex on the wheeze detection sensitivity. RESULTS: Detection of wheezes was not influenced by age and sex. In all files, wheezes were differentiated from noise using the wheeze recognition algorithm. The sensitivity, specificity, positive predictive value, and negative predictive value of the wheeze recognition algorithm were 96.6%, 98.5%, 98.3%, and 97.0%, respectively. Wheezes were automatically detected, and heartbeat sounds, voices, and crying were automatically identified as no-wheeze sounds by the wheeze recognition algorithm. CONCLUSIONS: The wheeze recognition algorithm was verified to identify wheezing with high accuracy; therefore, it might be useful in the practical implementation of asthma management at home. Only a few home medical devices are available for automatic wheeze detection. The wheeze recognition algorithm was verified to identify wheezing with high accuracy and will be useful for wheezing management at home and in remote medical care.

The effect of inhaled corticosteroids on Chlamydophila pneumoniae and Mycoplasma pneumoniae infection in children with bronchial asthma.

The purpose of this study was to clarify whether inhaled corticosteroids (ICSs) increased the infectious load of Chlamydophila pneumoniae and/or Mycoplasma pneumoniae in the respiratory tracts of asthmatic children. We studied a total of 310 outpatients with chronic stable asthma. Real-time polymerase chain reaction (PCR)-positive results for C. pneumoniae were obtained in 21 of 310 (6.8%) throat samples and 21 of 293 (7.2%) nasopharyngeal samples. There was no significant difference in the rate of detection or in the quantity of detection for C. pneumoniae between the ICS group and the non-ICS group, nor were there differences among groups classified by Japanese pediatric guidelines (JPGL) severity criteria. Real-time PCR-positive results for M. pneumoniae were obtained in 60 of 310 (19.4%) throat samples and 49 of 293 (16.7%) nasopharyngeal samples. There was no significant difference in the rate of detection or the quantity of detection between the ICS group and the non-ICS group, nor were there differences among age groups. The results of this research do not support the hypothesis that ICSs influence the infectious load of C. pneumoniae and M. pneumoniae. ICSs did not increase C. pneumoniae or M. pneumoniae infection in the upper respiratory tract, in contrast to the effect of ICSs in causing oral candidiasis. Our data exclude the concern that there is an increase in C. pneumoniae and M. pneumoniae infections due to ICS use, the use of ICSs being the gold standard in the long-term anti-inflammatory treatment of persistent asthma in children and adults.

Soluble tumor necrosis factor receptor 1 and tissue inhibitor of metalloproteinase-1 in hemolytic uremic syndrome with encephalopathy.

Enterohemorrhagic Escherichia coli (EHEC) induces hemorrhagic colitis and hemolytic uremic syndrome (HUS). Morbidity and mortality are increased in HUS patients with neurologic complications. To determine the pathogenesis of the central nervous system (CNS) involvement in HUS by EHEC, we determined the serum concentrations of interleukin-6 (IL-6), tumor necrosis factor-alpha (TNF-alpha), soluble TNF receptor 1 (sTNFR1), IL-10, interferon-gamma (IFN-gamma), IL-2, IL-4, soluble E-selectin (sE-selectin), matrix metalloproteinase-9 (MMP-9), and tissue inhibitor of metalloproteinase-1 (TIMP-1) during the acute stage in children with HUS with or without CNS involvement. Serum concentrations of IL-6, IL-10, sTNFR1, sE-selectin, MMP-9, and TIMP-1, but not TNF-alpha, IFN-gamma, IL-2, or IL-4, were significantly higher in patients with HUS with encephalopathy compared with controls. Serum IL-6, sTNFR1 and TIMP-1 concentrations were significantly higher in patients with HUS with encephalopathy compared with those with HUS without encephalopathy (P=0.031, P=0.005, and P=0.007, respectively) and those with acute colitis without HUS (P=0.011, P<0.001, and P=0.005, respectively). There were no significant differences in hemoglobin, platelet counts, leukocyte counts, or serum concentrations of IL-10, sE-selectin, MMP-9, aspartate aminotransferase, lactate dehydrogenase, blood urea nitrogen, creatinine, or C-reactive protein between the HUS patients with and without encephalopathy. Our preliminary study suggests that serum IL-6, sTNFR1 and TIMP-1 levels, particularly sTNFR1 and TIMP-1, are important for predicting neurological complications in patients with HUS.

Anti-inflammatory effect of intravenous immunoglobulin in comparison with dexamethasone in vitro: implication for treatment of Kawasaki disease.

High-dose intravenous immunoglobulin (IVIG) is a well-established standard therapy for Kawasaki disease (KD) that reduces the risk of developing coronary artery aneurysms. On the other hand, some reports have recommended an alternative therapy with steroids for KD patients. In this study we investigated the anti-inflammatory effect of IVIG in comparison with dexamethasone at clinical doses in vitro. High-dose IVIG inhibited tumor necrosis factor-alpha (TNF-alpha)-induced activation of nuclear factor-kappaB (NF-kappaB) to a greater degree than dexamethasone in human monocytic U937 cells and human coronary arterial endothelial cells (HCAEC), but not in human T lymphocytic Jurkat cells. IVIG was more potent than dexamethasone in reducing the expression of CD16 (FcgammaRIII) in human monocytic THP-1 cells stimulated with lipopolysaccharide and in Jurkat cells stimulated with dimethyl sulfoxide. In HCAEC exposed to TNF-alpha, IVIG and dexamethasone inhibited interleukin-6 production to a similar degree, whereas the expression of E-selectin was inhibited more strongly by IVIG. Our results show that high-dose IVIG inhibits the activation of monocytes/macrophages and coronary arterial endothelial cells more strongly than that of T cells, whereas dexamethasone inhibits the activation of all three cell types. These findings suggest that IVIG or dexamethasone therapy should be chosen to match the types of cells that are activated during acute KD.

Effect of montelukast on nuclear factor kappaB activation and proinflammatory molecules.

BACKGROUND: Montelukast is known as a cysteinyl leukotriene 1 receptor antagonist. However, the action of montelukast in terms of nuclear factor KB (NF-kappaB) activation and the production of proinflammatory molecules is unknown. OBJECTIVE: To demonstrate the potential anti-inflammatory effect of montelukast. METHODS: We examined whether montelukast inhibits the activation of NF-kappaB, a transcription factor that regulates the expression of proinflammatory molecules. The inhibitory effects of montelukast on tumor necrosis factor kappa (TNF-kappa)--induced NF-kappaB activation on THP-1 cells, a human monocytic leukemia cell line, were evaluated by flow cytometry, and those on lipopolysaccharide-induced interleukin 1beta (IL-1beta), IL-6, TNF-alpha, and monocyte chemoattractant protein 1 (MCP-1) production in peripheral blood mononuclear cells were evaluated by enzyme-linked immunosorbent assay. RESULTS: Flow cytometry demonstrated that montelukast inhibited NF-kappaB activation in THP-1 cells in a dose-related manner. Furthermore, 10(-5)M montelukast significantly inhibited lipopolysaccharide-induced IL-6, TNF-alpha, and MCP-1 production in the peripheral blood mononuclear cells of controls and patients with asthma. Lipopolysaccharide-induced IL-1beta production was not inhibited by montelukast. CONCLUSIONS: These findings suggest that high doses of montelukast modulate the production of IL-6, TNF-alpha, and MCP-1 through the inhibition of NF-kappaB activation. However, the anti-inflammatory effect of montelukast at therapeutic doses in patients with asthma needs to be further investigated.