Diagnosis and management of chronic cough: similarities and differences between children and adults

Weinberger, Miles; Hurvitz, M.S.

doi:10.12688/f1000research.25468.1

Cited by 25 publications

(20 citation statements)

References 71 publications

(112 reference statements)

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“…Insulting/swelling factors (IL-lÎ 2 , etc.) can be written down through NF-KB nuclear-written version of spoken word factor channels, or other pathways cause increased expression [ 7 ]. There is no brought together as one end/end result on the role and legal/law-based machine/method/way of HBD2, and there are few medicine-based studies on its relationship with traditional Chinese medicine.…”

Section: Introductionmentioning

confidence: 99%

Effects of Modified Sang ju-Yin Decoction Combined with IFNαlb Nebulization on IL-1β and HBD2 in Children with Asthmatic Bronchitis

Zhang

Wang

Liu

et al. 2022

Computational and Mathematical Methods in Medicine

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Background. Breathing disease swelling of the lung tubes caused by viral infection is more and more likely to develop into related to the lung tubes breathing disease, especially repeating breathing loudly. Objective. To investigate the effect of modified Sang ju-Yin Decoction combined with Interferon (IFN)αlb nebulization on children with asthmatic bronchitis and the effects of IL-1β and β-defensin 2 (HBD2). Materials and Methods. The clinical data of 80 children with asthmatic bronchitis who were diagnosed and treated in our hospital from May 2019 to May 2021 were selected as the research objects and divided into the control group and the observation group with 40 cases in each group according to different treatment methods. Among them, the control group was nebulized with IFNαlb, and the observation group was given addition and subtraction of Sang ju-Yin Decoction based on the control group. The clinical symptoms, pulmonary function indexes, adverse reactions, and effects on serum inflammatory indexes were observed and compared between the two groups. Results. There was no significant difference in the scores of symptoms and signs between the two groups before treatment ( P > 0.05 ), while the scores of shortness of breath, cough, stridor, lung rales, and signs after treatment of observation group were better than those of the control group ( P < 0.05 ). There was no significant difference in serum inflammatory indexes and pulmonary function indexes between the two groups before treatment ( P > 0.05 ), while the differences in IL-6, IL-10, TNF-α, IL-1β, and HBD2 after treatment were significant between the two groups ( P < 0.05 ). After treatment, the RR, TV, and PEF indexes of the two groups of children were significantly improved ( P < 0.05 ). After treatment, the adverse reaction rate of liver function damage, dry throat discomfort, rash, nausea, and vomiting in the observation group was 7.5%, which was significantly lower than 27.5% in the control group ( P < 0.05 ). Conclusion. Modified Sang ju-Yin Decoction combined with IFNαlb nebulization can improve symptoms and promote the recovery of patients in the treatment of acute bronchitis.

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Section: Introductionmentioning

confidence: 99%

Effects of Modified Sang ju-Yin Decoction Combined with IFNαlb Nebulization on IL-1β and HBD2 in Children with Asthmatic Bronchitis

Zhang

Wang

Liu

et al. 2022

Computational and Mathematical Methods in Medicine

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“…The etiology of pediatric chronic cough included asthma, postinfectious cough, bronchiectasis, airway malacia, and protracted bacterial bronchitis. In contrast, common causes of chronic cough in adults are gastroesophageal reflux, asthma, and upper airway syndrome (e.g., post-nasal drip) [ 78 ]. In our studies, we found that the pooled prevalence of chronic cough in adults was lower than that of children (adults vs. children: 6.22% [95% CI 5.03–7.41%] vs. 7.67% [95% CI 6.24–9.11%]).…”

Section: Discussionmentioning

confidence: 99%

Prevalence of chronic cough in China: a systematic review and meta-analysis

Liang

Wang

et al. 2022

BMC Pulm Med

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Background Individual studies have indicated variable prevalence for chronic cough, but thus far, there has been no systematic report on the prevalence of this condition. Methods In this study, we performed a systematic review and meta-analysis by searching databases including PubMed, Cochrane Library, Web of Science, China National Knowledge Infrastructure, Chinese biomedical literature service system, Wanfang Database, and VIP database, for studies on chronic cough in China published before December 28, 2020. A random effects model was used to calculate pooled prevalence estimates with 95% confidence interval [95%CI], weighted by study size. Results Fifteen studies with 141,114 community-based adults were included in the study, showing a prevalence of 6.22% (95% CI 5.03–7.41%). And 21 studies with 164,280 community-based children were included, presenting a prevalence of 7.67% (95% CI 6.24–9.11%). In subgroup meta-analyses, the prevalence in adults was 4.38% (95% CI 2.74–6.02%) in southern China and 8.70% (95% CI 6.52–10.88%) in northern China. In the children population, the prevalence in northern China was also higher than in southern China (northern vs. southern: 7.45% with a 95% CI of 5.50–9.41%, vs. 7.86% with a 95% CI of 5.56–10.16%). Conclusions Our population-based study provides relatively reliable data on the prevalence of chronic cough in China and may help the development of global strategies for chronic cough management.

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“…In the convolution stage (Figure 2), the parameters of the pretrained language model were transferred to the disease prediction model through fine-tuning. We set the kernel size as [3,4,5] for the disease prediction model. To avoid information loss, the width of the convolution kernel was set as the same as the dimension of the word vector, and each kernel had 128 output channels.…”

Section: Algorithmmentioning

confidence: 99%

“…In nonspecialized pediatric medical institutions, the proportion of children with cough as the first chief complaint is more than 35% (2). Cough is considered chronic in children when it is present for longer than 4 weeks (3). Etiologies of pediatric chronic cough include asthma, bacterial pharyngitis, influenza (FLU), acute upper respiratory tract infection, suppurative tonsillitis, and bacterial bronchitis.…”

Section: Introductionmentioning

confidence: 99%

An intelligent prediagnosis system for disease prediction and examination recommendation based on electronic medical record and a medical-semantic-aware convolution neural network (MSCNN) for pediatric chronic cough

Zhu¹,

Li²,

Huang³

et al. 2022

Transl Pediatr

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Background Due to the phenotypic similarities among different pediatric respiratory diseases with chronic cough, primary doctors often misdiagnose and the misuse of examinations is prevalent. In the pre-diagnosis stage, the patients' chief complaints and other information in the electronic medical record (EMR) provide a powerful reference for respiratory experts to make preliminary disease judgment and examination plan. In this paper, we proposed an intelligent prediagnosis system to predict disease diagnosis and recommend examinations based on EMR text. Methods We examined the clinical notes of 178,293 children with chronic cough symptoms from retrospective EMR data. The dataset is split into 7:3 for training and testing. From the testing set, we also extract 5% of samples for validation. We proposed a medical-semantic-aware convolution neural network (MSCNN) framework that can accomplish two downstream tasks from the same medical language model through transfer learning. First, a medical language model based on the word2vec algorithm was built to generate embeddings for the text data. Then, text convolutional neural network (TextCNN) was used to build models for disease prediction and examination recommendation. Results We implemented 5 algorithms for disease prediction. In the disease prediction task, our algorithm outperformed the baseline methods on all metrics, with a top-1 accuracy (AC) of 0.68 and a top-3 AC of 0.923 on the testing set. By adding data enhancement, the top-3 AC reached 0.926. In the examination recommendation task, the overall AC on the testing set was 0.93 and the macro average (MA) F1-score was 0.88. The average area under the curve (AUC) on the training set was 0.97 while on the testing set it was 0.86. Conclusions We constructed an intelligent prediagnosis system with an MSCNN framework that can predict diseases and make examination recommendations based on EMR data. Our approach achieved good results on a retrospective clinical dataset and thus has great potential for the application of automated diagnosis assist in clinical practice during pre-diagnosis stage, which will provide help for primary level doctors or doctors in basic-level hospitals. Due to the generality of the proposed framework, it can be straight forwardly extended to prediagnosis for other diseases.

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Diagnosis and management of chronic cough: similarities and differences between children and adults

Cited by 25 publications

References 71 publications

Effects of Modified Sang ju-Yin Decoction Combined with IFNαlb Nebulization on IL-1β and HBD2 in Children with Asthmatic Bronchitis

Effects of Modified Sang ju-Yin Decoction Combined with IFNαlb Nebulization on IL-1β and HBD2 in Children with Asthmatic Bronchitis

Prevalence of chronic cough in China: a systematic review and meta-analysis

An intelligent prediagnosis system for disease prediction and examination recommendation based on electronic medical record and a medical-semantic-aware convolution neural network (MSCNN) for pediatric chronic cough

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