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1.
Asian Pac J Allergy Immunol ; 40(1): 1-21, 2022 Mar.
Article in English | MEDLINE | ID: covidwho-2100425

ABSTRACT

The multidisciplinary experts in Thailand developed an asthma management recommendation that was relevant to low-middle income countries (LMICS). Populations level consideration about asthma management is emphasized. The healthcare systems, access to and availability of treatments as well as the asthma populations vary from country to country in LMICS. The feasibility in clinical practice for implementation is also a major issue. For these reasons, the practice guidelines that are relevant to local contexts are essential to improve better asthma control. Furthermore, integrative and collaboration between asthma experts and the public health sector to implement and discriminate such guidelines will help to achieve these challenging goals. The topics covered include the current asthma situation in Thailand and the Asia-Pacific region, the definition of asthma, asthma diagnosis, assessment of asthma patients, asthma treatment - both pharmacological and non-pharmacological, management of asthma exacerbation, management of asthma comorbidities, treatment of asthma in special conditions, severe and uncontrolled asthma, Thai alternative medicine and asthma, and asthma and coronavirus disease-19 (COVID-19).


Subject(s)
Asthma , COVID-19 , Adult , Asthma/diagnosis , Asthma/epidemiology , Asthma/therapy , Humans , Thailand
2.
PLoS One ; 17(8): e0273842, 2022.
Article in English | MEDLINE | ID: covidwho-2021944

ABSTRACT

BACKGROUND: Due to the possibility of asymptomatic pneumonia in children with COVID-19 leading to overexposure to radiation and problems in limited-resource settings, we conducted a nationwide, multi-center study to determine the risk factors of pneumonia in children with COVID-19 in order to create a pediatric pneumonia predictive score, with score validation. METHODS: This was a retrospective cohort study done by chart review of all children aged 0-15 years admitted to 13 medical centers across Thailand during the study period. Univariate and multivariate analyses as well as backward and forward stepwise logistic regression were used to generate a final prediction model of the pneumonia score. Data during the pre-Delta era was used to create a prediction model whilst data from the Delta one was used as a validation cohort. RESULTS: The score development cohort consisted of 1,076 patients in the pre-Delta era, and the validation cohort included 2,856 patients in the Delta one. Four predictors remained after backward and forward stepwise logistic regression: age < 5 years, number of comorbidities, fever, and dyspnea symptoms. The predictive ability of the novel pneumonia score was acceptable with the area under the receiver operating characteristics curve of 0.677 and a well-calibrated goodness-of-fit test (p = 0.098). The positive likelihood ratio for pneumonia was 0.544 (95% confidence interval (CI): 0.491-0.602) in the low-risk category, 1.563 (95% CI: 1.454-1.679) in the moderate, and 4.339 (95% CI: 2.527-7.449) in the high-risk. CONCLUSION: This study created an acceptable clinical prediction model which can aid clinicians in performing an appropriate triage for children with COVID-19.


Subject(s)
COVID-19 , Pneumonia , COVID-19/epidemiology , Child , Humans , Models, Statistical , Pneumonia/diagnosis , Pneumonia/epidemiology , Pneumonia/etiology , Prognosis , ROC Curve , Retrospective Studies , Risk Assessment
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