Classification of adults suffering from typical gastroesophageal reflux disease symptoms: contribution of latent class analysis in a European observational study
| Autor: | Philippe Ducrotté, Konstantinos Triantafyllou, Angel Alvarez Sanchez, Renzo Cestari, Liudmila Usova, Silvia Marelli, Sofia Keim, Paul Bergmans, Esther Grahl, Stanislas Bruley des Varannes |
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| Rok vydání: | 2014 |
| Předmět: |
Adult
Male medicine.medical_specialty Alcohol Drinking Disease Severity of Illness Index Gastroenterology Russia Sex Factors Latent class analysis Internal medicine Severity of illness Humans Adults Medicine Diet Fat-Restricted Aged Multinomial logistic regression Hypertriglyceridemia Metabolic Syndrome Greece business.industry Smoking Acid related disease Age Factors Heartburn GERD General Medicine Middle Aged Classification medicine.disease humanities digestive system diseases Latent class model Logistic Models Italy Spain Symptoms Gastroesophageal Reflux Female Observational study France Waist Circumference Metabolic syndrome medicine.symptom business Research Article |
| Zdroj: | BMC Gastroenterology |
| ISSN: | 1471-230X |
| Popis: | Background As illustrated by the Montreal classification, gastroesophageal reflux disease (GERD) is much more than heartburn and patients constitute a heterogeneous group. Understanding if links exist between patients’ characteristics and GERD symptoms, and classify subjects based on symptom-profile could help to better understand, diagnose, and treat GERD. The aim of this study was to identify distinct classes of GERD patients according to symptom profiles, using a specific statistical tool: Latent class analysis. Methods An observational single-visit study was conducted in 5 European countries in 7700 adults with typical symptoms. A latent class analysis was performed to identify “latent classes” and was applied to 12 indicator symptoms. Results On 7434 subjects with non-missing indicators, latent class analysis yielded 5 latent classes. Class 1 grouped the highest severity of typical GERD symptoms during day and night, more digestive and non-digestive GERD symptoms, and bad sleep quality. Class 3 represented less frequent and less severe digestive and non-digestive GERD symptoms, and better sleep quality than in class 1. In class 2, only typical GERD symptoms at night occurred. Classes 4 and 5 represented daytime and nighttime regurgitation. In class 4, heartburn was also identified and more atypical digestive symptoms. Multinomial logistic regression showed that country, age, sex, smoking, alcohol use, low-fat diet, waist circumference, recent weight gain (>5 kg), elevated triglycerides, metabolic syndrome, and medical GERD treatment had a significant effect on latent classes. Conclusion Latent class analysis classified GERD patients based on symptom profiles which related to patients’ characteristics. Although further studies considering these proposed classes have to be conducted to determine the reproducibility of this classification, this new tool might contribute in better management and follow-up of patients with GERD. |
| Databáze: | OpenAIRE |
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