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Association between atopic disease and anemia in pediatrics: a cross-sectional study.

ABSTRACT: BACKGROUND:Atopic diseases, such as atopic dermatitis, allergic rhinitis, and asthma, are inflammatory diseases common in pediatric patients. This study investigated whether these inflammatory atopic diseases were associated with anemia in pediatrics. METHODS:A cross-sectional study was conducted using a pediatric dataset from the Health Insurance Review and Assessment Service (HIRA) of South Korea in 2016. Multivariable logistic regression, adjusting for demographic covariates was used for analyse the association between atopic disease and iron deficiency anemia (IDA). RESULTS:A total of 846,718 pediatric patients were included in the study. Of these, 19,594 (2.31%) had a diagnosis of IDA. The logistic regression analyses including covariates revealed there were association between atopic disease and IDA. The adjusted OR (aOR) of IDA was 1.42 (95% CI, 1.37-1.47) for atopic dermatitis, 1.25 (95% CI, 1.21-1.29) for allergic rhinitis, and 1.71 (95% CI, 1.65-1.76) for asthma. IDA was more prevalent in patients with multiple comorbid atopic diseases, with aOR of 1.30 (95% CI, 1.25-1.35), 1.81 (95% CI, 1.73-1.89), and 2.58 (95% CI, 2.43-2.73) for 1, 2, or 3 atopic diagnoses. There was no evidence of multicollinearity among covariates. CONCLUSIONS:Our findings suggest that atopic disease was associated with IDA. Further study is needed to clarify the distinction between IDA and/or AI to better understand the cause of anemia in patients with inflammatory diseases.

SUBMITTER: Rhew K

PROVIDER: S-EPMC6876088 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature

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Association between atopic disease and anemia in pediatrics: a cross-sectional study.

Rhew Kiyon K Oh Jung Mi JM

BMC pediatrics 20191125 1

<h4>Background</h4>Atopic diseases, such as atopic dermatitis, allergic rhinitis, and asthma, are inflammatory diseases common in pediatric patients. This study investigated whether these inflammatory atopic diseases were associated with anemia in pediatrics.<h4>Methods</h4>A cross-sectional study was conducted using a pediatric dataset from the Health Insurance Review and Assessment Service (HIRA) of South Korea in 2016. Multivariable logistic regression, adjusting for demographic covariates wa ...[more]

PMID: 31760939

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Project description:AimsWe aimed to investigate the potential association between weight-adjusted-waist index (WWI) and chronic kidney disease (CKD).Design and methodsThis research examined data collected from the National Health and Nutrition Examination Survey (NHANES) spanning from 1999 to 2020. CKD was defined as the low estimated glomerular filtration rate (eGFR) or the existence of albuminuria (urinary albumin-to-creatinine ratio (ACR) ≥ 30mg/g). Low-eGFR was described as eGFR < 60 mL/min/1.73m2. The associations between WWI with CKD, albuminuria, and low-eGFR were examined using generalized additive models and weighted multivariable logistic regression models. We also analyzed the associations of other obesity indicators with CKD, albuminuria, and low-eGFR, including body mass index (BMI), waist-to-height ratio (WHtR), waist circumference(WC), height, and weight. The receiver operating characteristic (ROC) curves were used to assess and compare their diagnostic abilities.ResultsMales made up 48.26% of the total 40,421 individuals that were recruited. The prevalences of CKD, albuminuria, and low-eGFR were 16.71%, 10.97%, and 7.63%, respectively. WWI was found to be positively linked with CKD (OR = 1.42; 95% CI: 1.26, 1.60). A nonlinear connection between WWI and CKD was found using smooth curve fitting. Additionally, a higher prevalence of albuminuria is linked to a higher level of WWI (OR = 1.60; 95% CI: 1.40, 1.82). Different stratifications did not substantially influence the connection between WWI and CKD, albuminuria, and low-eGFR, according to subgroup analysis and interaction tests. We observed higher height was related to higher low-eGFR prevalence (OR = 1.05; 95% CI: 1.03, 1.06). ROC analysis revealed that WWI had the best discrimination and accuracy for predicting CKD and albuminuria compared to other obesity indicators (BMI, WHTR, WC, height and weight). In addition, height had the highest area under the curve (AUC) value for predicting low-eGFR.ConclusionWWI is the best obesity indicator to predict CKD and albuminuria compared to other obesity indicators (BMI, WHTR, WC, height, and weight). WWI and CKD and albuminuria were found to be positively correlated. Furthermore, height had the strongest ability to predict low-eGFR. Therefore, the importance of WWI and height in assessing kidney health in US adults should be emphasized.

Dataset Information

Association between atopic disease and anemia in pediatrics: a cross-sectional study.

Publications

Association between atopic disease and anemia in pediatrics: a cross-sectional study.

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