| Literature DB >> 35630471 |
Kayoko Ozeki1,2, Takahisa Furuta3, Kazuhiro Hada1, Yoshifumi Wakiya1, Toshiyuki Ojima2.
Abstract
Eradication of Helicobacter pylori (H. pylori) is crucial to reduce the risk of developing gastric ulcers and gastric cancer. Although immunoglobulin E (IgE) levels and alcohol consumption have been shown to influence the failure of H. pylori eradication, the relationship between these factors and the mechanism of failure has not been clarified. Because high IgE levels are associated with eradication failure, the purpose of this study was to clarify the factors leading to high IgE levels. Completed questionnaires and blood test data were collected from patients who visited a university hospital for H. pylori eradication. Logistic regression analysis was per-formed to examine the relationship between high IgE levels and allergic diseases. We also examined the relationship between alcohol intake and high IgE levels. Linear regression analysis was performed on the relationship between the amount of alcohol consumed and IgE measurements. The results showed that patients with allergic diseases and those with high alcohol intake had significantly higher IgE levels. High IgE levels are a risk factor for failure of H. pylori eradication that is associated with drinking habits and alcohol consumption, and our results suggest that daily alcohol consumption should be avoided even in non-allergic patients.Entities:
Keywords: Helicobacter pylori; alcohol; eradication; immunoglobulin E levels
Year: 2022 PMID: 35630471 PMCID: PMC9147128 DOI: 10.3390/microorganisms10051029
Source DB: PubMed Journal: Microorganisms ISSN: 2076-2607
Patients’ demographic characteristics.
| Characteristic |
| % | Geometric Average of IgE |
|---|---|---|---|
|
| |||
| Male | 109 | 43.6 |
|
| Female | 141 | 56.4 | 6.91 |
|
| |||
| 20–40 | 40 | 16.0 | 8.32 |
| 41–60 | 82 | 32.8 | 8.72 |
| ≥61 | 128 | 51.2 | 7.67 |
|
| |||
| Taking medication | 155 | 62.0 | 8.18 |
| No medication | 78 | 31.2 | 8.33 |
|
| |||
| Smoking (+) | 23 | 9.2 | 8.71 |
| Smoking (−) | 211 | 84.4 | 8.19 |
|
| |||
| Drinking (+) | 127 | 50.8 |
|
| Drinking (−) | 102 | 40.8 | 6.66 |
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| |||
| Rash | 30 | 12.0 |
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| Asthma | 15 | 6.0 |
|
| Atopic dermatitis | 8 | 3.2 |
|
| Hay fever | 92 | 36.8 |
|
| Allergic diseases of any kind (+) | 116 | 46.4 |
|
| Allergic diseases of any kind (−) | 134 | 53.6 | 6.72 |
|
| |||
| Inspection (+) | 195 | 78.0 | 8.58 |
| Inspection (−) | 33 | 13.2 | 6.83 |
|
| |||
| Eradication (+) | 153 | 61.2 | 8.59 |
| Eradication (−) | 70 | 28.0 | 7.76 |
|
| |||
| One or two | 125 | 50.0 | 8.06 |
| Three or more | 26 | 10.4 |
|
Association between the presence of various allergic diseases and a high IgE level (≥173 IU/mL).
| Model 1 | Model 2 | Model 3 | |||||||
|---|---|---|---|---|---|---|---|---|---|
| OR | 95%CI | OR | 95%CI | OR | 95%CI | ||||
|
|
| 1.04–3.30 |
|
| 1.01–3.50 |
| 1.47 | 0.77–2.82 | 0.239 |
|
|
| 1.32–5.16 |
| ||||||
|
|
| 1.13–5.42 |
|
| 1.27–6.70 |
|
| 1.09–6.01 |
|
|
|
| 1.40–5.46 |
| ||||||
|
|
| 1.66–14.86 |
|
| 2.19–21.62 |
|
| 1.98–22.28 |
|
|
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| 1.45–5.87 |
| ||||||
|
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| 1.21–25.23 |
|
| 1.29–29.60 |
| 4.17 | 0.91–22.48 | 0.065 |
|
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| 1.33–5.23 |
| ||||||
|
|
| 1.66–5.42 |
|
| 1.81–6.54 |
|
| 1.42–5.39 |
|
|
|
| 1.22–4.84 |
| ||||||
Analysis method: Logistic regression analysis. Notes: Model 2 was adjusted for age and sex. Model 3 was adjusted for sex, age, and drinking status. Bold text, statistically significant at p < 0.05. Abbreviations: OR, odds ratio; CI, confidence interval.
Association between alcohol consumption and a high IgE level (≥173 IU/mL).
| Model 1 | Model 2 | Model 3 | |||||||
|---|---|---|---|---|---|---|---|---|---|
| OR | 95%CI | OR | 95%CI | OR | 95%CI | ||||
|
|
| 1.75–6.36 |
|
| 1.45–5.45 |
|
| 1.36–5.34 |
|
Analysis method: Logistic regression analysis. Notes: Model 2 was adjusted for age and sex. Model 3 was adjusted for age, sex, smoking status, and medication status. Bold text, statistically significant at p < 0.05. Abbreviations: OR, odds ratio; CI, confidence interval.
Association between alcohol consumption and a high IgE level by the presence or absence of allergic disease (IgE ≥ 173 IU/mL).
| Model 1 | Model 2 | Model 3 | |||||||
|---|---|---|---|---|---|---|---|---|---|
| OR | 95%CI | OR | 95%CI | OR | 95%CI | ||||
|
|
| 1.35–10.64 |
|
| 1.07–8.97 |
|
| 1.06–9.12 |
|
|
|
| 1.03–5.71 |
| 2.11 | 0.84–5.29 | 0.111 | 2.22 | 0.86–5.73 | 0.101 |
Analysis method: Logistic regression analysis. Notes: Model 2 was adjusted for age and sex. Model 3 was adjusted for age, sex, smoking status, and medication status. Bold text, statistically significant at p < 0.05. Abbreviations: OR, odds ratio; CI, confidence interval.
Association between daily alcohol intake and IgE measurements.
| Model 1 | Model 2 | Model 3 | ||||
|---|---|---|---|---|---|---|
| β | β | β | ||||
|
|
|
|
|
|
|
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Analysis method: Linear regression analysis. Notes: Model 2 was adjusted for sex and age. Model 3 was adjusted for sex, age, smoking status, and medication status. β, standard regression coefficient. Bold text, statistically significant at p < 0.05.