The Validity of a New Structured Assessment of Gastrointestinal Symptoms Scale (SAGIS) for Evaluating Symptoms in the Clinical Setting.

BACKGROUND: The clinical assessments of patients with gastrointestinal symptoms can be time-consuming, and the symptoms captured during the consultation may be influenced by a variety of patient and non-patient factors. To facilitate standardized symptom assessment in the routine clinical setting, we developed the Structured Assessment of Gastrointestinal Symptom (SAGIS) instrument to precisely characterize symptoms in a routine clinical setting. AIMS: We aimed to validate SAGIS including its reliability, construct and discriminant validity, and utility in the clinical setting. METHODS: Development of the SAGIS consisted of initial interviews with patients referred for the diagnostic work-up of digestive symptoms and relevant complaints identified. The final instrument consisted of 22 items as well as questions on extra intestinal symptoms and was given to 1120 consecutive patients attending a gastroenterology clinic randomly split into derivation (n = 596) and validation datasets (n = 551). Discriminant validity along with test-retest reliability was assessed. The time taken to perform a clinical assessment with and without the SAGIS was recorded along with doctor satisfaction with this tool. RESULTS: Exploratory factor analysis conducted on the derivation sample suggested five symptom constructs labeled as abdominal pain/discomfort (seven items), gastroesophageal reflux disease/regurgitation symptoms (four items), nausea/vomiting (three items), diarrhea/incontinence (five items), and difficult defecation and constipation (2 items). Confirmatory factor analysis conducted on the validation sample supported the initially developed five-factor measurement model ([Formula: see text], p < 0.0001, χ 2/df = 4.6, CFI = 0.90, TLI = 0.88, RMSEA = 0.08). All symptom groups demonstrated differentiation between disease groups. The SAGIS was shown to be reliable over time and resulted in a 38% reduction of the time required for clinical assessment. CONCLUSIONS: The SAGIS instrument has excellent psychometric properties and supports the clinical assessment of and symptom-based categorization of patients with a wide spectrum of gastrointestinal symptoms.

Liver-related mortality in countries of the developed world: an ecological study approach to explain the variability.

BACKGROUND: Liver-related mortality varies across developed nations. AIM: To assess the relative role of various risk factors in relation to liver-related mortality in an ecological study approach. METHODS: Data for liver-related mortality, prevalence data for hepatitis B and C, human immunodeficiency virus (HIV), alcohol consumption per capita, Type 2 Diabetes mellitus (T2DM), overweight and obesity were extracted from peer-reviewed publications or WHO databases for different developed countries. As potential other risk-modifying factors, purchase power parity (PPP)-adjusted gross domestic product (GDP) per capita and health expenditure per capita were assessed. As an environmental 'hygiene factor', we also assessed the effect of the prevalence of Helicobacter pylori. Only countries with a PPP-adjusted GDP greater than $20 000 and valid information for at least 8 risk modifiers were included. Univariate and multivariate analyses were utilised to quantify the contribution to the variability in liver-related mortality. RESULTS: The proportion of chronic liver diseases (CLD)-related mortality ranged from 0.73-2.40% [mean 1.56%, 95% CI (1.43-1.69)] of all deaths. Univariately, CLD-related mortality was significantly associated with Hepatitis B prevalence, alcohol consumption, PPP-adjusted GDP (all P < 0.05) and potentially H. pylori prevalence (P = 0.055). Other investigated factors, including hepatitis C, did not yield significance. Backward elimination suggested hepatitis B, alcohol consumption and PPP-adjusted GDP as risk factors (explaining 66.3% of the variability). CONCLUSION: Hepatitis B infection, alcohol consumption and GDP, but not hepatitis C or other factors, explain most of the variance of liver-related mortality.