Reply to the letter to the author concerning: ‘Does adenoid hypertrophy affect disease severity in children with allergic rhinitis?’

2018 ◽  
Vol 275 (3) ◽  
pp. 833-834 ◽  
Author(s):  
Mahmut Dogru ◽  
Muhammed Fatih Evcimik ◽  
Omer Faruk Calim
2018 ◽  
Vol 29 (2) ◽  
pp. 186-193 ◽  
Author(s):  
Wenlong Liu ◽  
Qingxiang Zeng ◽  
Lifeng Zhou ◽  
Renzhong Luo ◽  
Haipeng Dong

2017 ◽  
Vol 118 (2) ◽  
pp. 174-178 ◽  
Author(s):  
Min Hee Kim ◽  
Eun Ji Choi ◽  
Bo-Hyoung Jang ◽  
Kyu Seok Kim ◽  
Seoung-Gyu Ko ◽  
...  

2014 ◽  
Vol 5 (3) ◽  
pp. ar.2014.5.0095 ◽  
Author(s):  
Franco Ameli ◽  
Fabio Brocchetti ◽  
Maria Angela Tosca ◽  
Irene Schiavetti ◽  
Giorgio Ciprandi

Tonsil hypertrophy (TH) is very common in children. Previously, it has been reported that an inverse relationship exists between adenoid hypertrophy (AH) and allergic rhinitis (AR). This study aimed to investigate the possible relationship between tonsil volume and AR diagnosis in a group of children complaining of upper airways obstruction. Globally, 171 children (91 boys; mean age, 6.6 years) were studied. Clinical visit, nasal endoscopy, and skin-prick test were performed in all patients. TH and anterior nasal obstruction were graded using the Friedman's classifications. Adenoid volume was graded using the Parikh's classification. Fifty-eight children (33.9%) had relevant TH (grades 3–4); 77 children (44.94%) had AR. There was a strong correlation (gamma = 0.564; p < 0.001) between TH and AH. Tonsil volume was inversely associated with AR diagnosis (odds ratio [OR], 0.314). Risk factors for TH were intense mucosal inflammation (pale mucous membranes) and AH (OR, 3.54 and 2.856, respectively). This study shows that large tonsils are negatively associated with allergy, whereas intense inflammation is a risk factor for TH; AH may be frequently associated with TH.


1984 ◽  
Vol 11 (2) ◽  
pp. 70-73 ◽  
Author(s):  
M. C. Black ◽  
J. K. Pataky ◽  
M. K. Beute ◽  
J. C. Wynne

Abstract Peanut (Arachis hypogaea L.) genotypes were evaluated in field microplots infested with Cylindrocladium crotalariae (Loose) Bell and Sobers. In experiment I there were three genotypes, two inoculum densities, and two levels (0, 100 kg/ha) of nitrogen (N) fertilizer. A non-nodulating peanut genotype was less susceptible to C. crotalariae than either of its nodulating parents. Application of N to the nodulating parents decreased disease severity if inoculum density was low. Application of N to the non-nodulating line increased disease severity compared to disease in unfertilized plots of the non-nodulating line. Experiment II evaluated effects of cultivar (susceptible Florigiant, resistant NC 8C), two inoculum denities, N fertilizer [0, 100 kg/ha), and high carbon:nitrogen organic matter amendment (0, 400 kg/ha). Root rot severity was reduced if the cultivar was resistant, if inoculum density was low, and if N was applied. Soil amendment did not affect disease severity. In experiment III, planting date effects on disease severity were evaluated on resistant NC 8C and resistant NC 18016. Planting on May 2, when minimum soil temperature was below 18 C, resulted in more severe disease than planting on May 17, or May 30, 1983 when minimum soil temperature was above 18 C. Benefits of combining management tactics of resistance, preventing high inoculum densities, N management, and proper planting date are discussed.


Author(s):  
Yihang Lin ◽  
Xiaoqing Rui ◽  
Junyang Li ◽  
Jie Chen ◽  
YOUJIN LI

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Shaobing Xie ◽  
Hua Zhang ◽  
Zhihai Xie ◽  
Yongzhen Liu ◽  
Kelei Gao ◽  
...  

The aim of this study was to identify differences in serum metabolomics profiles of house-dust-mite (HDM)-induced allergic rhinitis (AR) patients compared to controls and to explore novel biomarkers reflecting disease severity. Serum samples were collected from 29 healthy controls and HDM-induced 72 AR patients, including 30 mild patients (MAR) and 42 moderate to severe AR patients (MSAR). Metabolomics detection was performed, and orthogonal partial least square discriminate analysis was applied to assess the differences between AR patients and controls and for subgroups based on disease severity. These analysis results successfully revealed distinct metabolite signatures which distinguished MAR patients and MSAR patients from controls. MSAR patients also could be discriminated from MAR patients based on their metabolic fingerprints. Most observed metabolite changes were related to glycine, serine, and threonine metabolism, pyrimidine metabolism, sphingolipid metabolism, arginine and proline metabolism, and fatty acid metabolism. Levels of sarcosine, sphingosine-1-phosphate, cytidine, and linoleic acid significantly correlated with the total nasal symptom score and visual analogue scale in AR patients. These results suggest that metabolomics profiling may provide novel insights into the pathophysiological mechanisms of HDM-induced AR and contribute to its evaluation of disease severity.


Sign in / Sign up

Export Citation Format

Share Document