A population-based analysis of children with pneumonia among intensive care units in Taiwan

Hsu, Chien Lun; Lee, Yu Sheng; Chen, Chun‐Jen; Lee, Ming Luen; Yang, Chia Feng; Soong, Wen‐Jue; Jeng, Mei Jy; Wu, Keh Gong

doi:10.1016/j.jmii.2013.07.007

Cited by 11 publications

(7 citation statements)

References 18 publications

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“…Araya et al [19] found that significant comorbidities (malnutrition, HIV, congenital heart disease [CHD], asthma, and Down syndrome) were associated with mortality (OR, 4.9-6.2). A retrospective study of children in the ICU with pneumonia found that cerebral palsy, epilepsy, and CHD were associated with mortality (OR, 1.49-2.37), whereas asthma was protective (OR, 0.17; 95% CI, 0.09-0.31) [41]. In a multicenter retrospective study comparing children hospitalized with aspiration pneumonia versus CAP, Hirsch et al [42] found that children with aspiration pneumonia had longer hospital length of stay (LOS) and were more likely to receive ICU care.…”

Section: Comorbiditiesmentioning

confidence: 99%

Factors Associated With Pneumonia Severity in Children: A Systematic Review

Dean

Florin

2018

Journal of the Pediatric Infectious Diseases Society

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Community-acquired pneumonia in children is associated with significant morbidity and mortality; however, data are limited in predicting which children will have negative outcomes, including clinical deterioration, severe disease, or development of complications. The Pediatric Infectious Diseases Society/Infectious Diseases Society of America (PIDS/IDSA) pediatric pneumonia guideline includes criteria that were modified from adult criteria and define pneumonia severity to assist with resource allocation and site-of-care decision-making. However, the PIDS/IDSA criteria have not been formally developed or validated in children. Definitions for mild, moderate, and severe pneumonia also vary across the literature, further complicating the development of standardized severity criteria. This systematic review summarizes (1) the current state of the evidence for defining and predicting pneumonia severity in children as well as (2) emerging evidence focused on risk stratification of children with pneumonia.

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Section: Comorbiditiesmentioning

confidence: 99%

Factors Associated With Pneumonia Severity in Children: A Systematic Review

Dean

Florin

2018

Journal of the Pediatric Infectious Diseases Society

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“…This program covers more than 99.5% of residents in Taiwan, and children younger than 18 years of age account for approximately 23% of the whole population in Taiwan [ 26 ]. The NHIRD provides reliable data for population-based disease research [ 27 – 30 ]. These datasets contain aggregated secondary data without personal identification, including patient′s age, gender, admission date, discharge date, diagnosis, expenses, laboratory examination items, detail drug prescription codes and operational codes [ 31 ].…”

Section: Introductionmentioning

confidence: 99%

A Longitudinal Study on Early Hospitalized Airway Infections and Subsequent Childhood Asthma

et al. 2015

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BackgroundAcute airway infections, including bronchiolitis, are common causes of early childhood hospitalization. The development of later asthma may be related to early airway infections in young children. This study is to investigate the relationship between hospitalized airway infections (HAI) in young children (< 3 years old) and later childhood asthma.MethodsHospitalized children (< 3 years old) with bronchiolitis or other acute airway infections (other HAI group) from 1997-2000 were retrieved from the National Health Insurance Research Database of Taiwan, and compared to age- and gender-matched subjects with regards to asthma until 10 years of age; and potential comorbidities and medical care conditions.ResultsIn total, 3,264 children (1,981 with bronchiolitis; 1,283 with other HAIs) were compared to 18,527 controls. The incidence of childhood asthma was higher in the study (16.2%) than the control (11.7%) group, and most cases were diagnosed between 3-5 years old. The hazard ratios were 1.583 (95% CI: 1.414-1.772) and 1.226 (95% CI: 1.053-1.428) for the bronchiolitis and other HAI subgroups, respectively, compared to the control group, and 1.228 (95% CI: 1.075-1.542) in the bronchiolitis subgroup compared to the other HAIs subgroup. A significantly higher odds ratio (1.973, 95% CI: 1.193-3.263) for the children with congenital heart disease (CHD) in the bronchiolitis subgroup was found at an age of 3-5 years compared to the control group.Conclusions and Clinical RelevanceYoung children (< 3 years old) hospitalized due to acute HAIs are at a higher risk of developing childhood asthma at age 3 to 10 years. The parents of children with HAIs at age 0 to 2 years should be informed for the higher risk of developing childhood asthma, especially in children with CHD and bronchiolitis.

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“…Pneumonia has been widely recognized as a complication of seizures. A population-based study on children admitted in intensive care revealed a similar finding that epilepsy was a significant risk factor for pneumonia [ 40 ]. The major cause was the aspiration of secretions, when seizure hindered the airway protective reflexes.…”

Section: Discussionmentioning

confidence: 90%

Nomogram for pneumonia prediction among children and young people with cerebral palsy: A population-based cohort study

et al. 2020

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Background Pneumonia is the leading cause of death among children and young people (CYP) with severe cerebral palsy (CP). Only a few studies used nomogram for assessing risk factors and the probability of pneumonia. Therefore, we aimed to identify risk factors and devise a nomogram for identifying the probability of severe pneumonia in CYP with severe CP. Methods This retrospective nationwide population-based cohort study examined CYP with newly diagnosed severe CP before 18 years old between January 1 st , 1997 and December 31 st , 2013 and followed them up through December 31 st , 2013. The primary endpoint was defined as the occurrence of severe pneumonia with ≥ 5 days of hospitalization. Logistic regression analysis was used for determining demographic factors and comorbidities associated with severe pneumonia. These factors were assigned integer points to create a scoring system to identify children at high risk for severe pneumonia. Results Among 6,356 CYP with newly diagnosed severe CP, 2,135 (33.59%) had severe pneumonia. Multivariable logistic regression analysis revealed that seven independent predictive factors, namely age <3 years, male sex, and comorbidities of pressure ulcer, gastroesophageal reflux, asthma, seizures, and perinatal complications. A nomogram was devised by employing these seven significant predictive factors. The prediction model presented favorable discrimination performance. Conclusions The nomogram revealed that age, male sex, history of pressure ulcer, gastroesophageal reflux, asthma, seizures, and perinatal complications were potential risk factors for severe pneumonia among CYP with severe CP.

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A population-based analysis of children with pneumonia among intensive care units in Taiwan

Cited by 11 publications

References 18 publications

Factors Associated With Pneumonia Severity in Children: A Systematic Review

Factors Associated With Pneumonia Severity in Children: A Systematic Review

A Longitudinal Study on Early Hospitalized Airway Infections and Subsequent Childhood Asthma

Nomogram for pneumonia prediction among children and young people with cerebral palsy: A population-based cohort study

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