Classification of adults suffering from typical gastroesophageal reflux disease symptoms: contribution of latent class analysis in a European observational study.
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-profil...
| Publicado en: | BMC Gastroenterology Vol. 14; no. 1; pp. 112 - 113 |
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| Autores principales: | , , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
BioMed Central
2014
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=103833557&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 103833557 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 1471230X 1CHO jtl: BMC Gastroenterology issn: 1471230X maglogo: N pubinfo: dt: 2014 vid: 14 iid: 1 pid: 24147 pub: BioMed Central artinfo: ui: 103833557 103833557 NLM24969728 2012646512 10.1186/1471-230X-14-112 NLM24969728 PMC4094535 103833557 ppf: 112 ppct: 1 formats: tig: atl: Classification of adults suffering from typical gastroesophageal reflux disease symptoms: contribution of latent class analysis in a European observational study. aug: au: Bruley des Varannes, Stanislas Cestari, Renzo Usova, Liudmila Triantafyllou, Konstantinos Alvarez Sanchez, Angel Keim, Sofia Bergmans, Paul Marelli, Silvia Grahl, Esther Ducrotté, Philippe affil: Institut des Maladies de l'Appareil Digestif - CHU Hôtel Dieu, 44093 Nantes Cedex, France. stanislas.bruleydesvarannes@chu-nantes.fr. sug: subj: Gastroesophageal Reflux Classification Adult Age Factors Aged Alcohol Drinking Epidemiology Diet, Fat-Restricted Statistics and Numerical Data Female France Gastroesophageal Reflux Epidemiology Gastroesophageal Reflux Physiopathology Greece Human Hyperlipidemia Epidemiology Italy Logistic Regression Male Metabolic Syndrome X Epidemiology Middle Age Russia Severity of Illness Indices Sex Factors Smoking Epidemiology Spain Waist Circumference Adult: 19-44 years Aged: 65+ years Middle Aged: 45-64 years Female Male ab: 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. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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