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RISS 인기검색어
- 검색키워드
- 저자 : ( Guy D Eslick ) (검색결과 2 건)
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( Guy D Eslick ),( Stuart C Howell ),( Nicholas J Talley ) 대한소화기기능성질환·운동학회 2015 Journal of Neurogastroenterology and Motility (JNM Vol.21 No.4
Background/Aims Weight loss is a recognized alarm symptom for organic gastrointestinal (GI) disease, yet the association between weight change (loss or gain) and specific GI symptoms remains poorly described. We assess the associations between GI symptoms and weight change in a population-based sample of Australian adults. Methods The prevalence of 26 GI symptoms was determined by a postal survey to 5000 residents in western Sydney, Australia (60% response rate). These were classified a priori into 5 symptom groups.abdominal pain, esophageal symptoms, dysmotility symptoms, diarrhea and constipation. Weight change was measured by two items which assessed weight loss and weight gain. Clinically relevant weight change was defined as a loss or gain of 3 or more kilograms in the past 3 months. Results Prevalence estimates for clinically relevant weight loss and gain in the past 3 months were 10.3% and 8.1%, respectively. When the 5 symptom groups were evaluated simultaneously, the dysmotility symptoms of fullness after meals emerged as a predictor of both weight loss (OR, 1.57; 95% CI, 1.32-1.88; P < 0.001) and weight gain (OR, 0.85; 95% CI, 0.72-0.99; P = 0.040), which also included bloating (OR, 1.64; 95% CI 1.46-1.84; P < 0.001). The associations remained significant following adjustment for socio-economic status, body mass index, and eating behaviors. Conclusions Specific dysmotility symptoms are independently predictive of both weight loss and weight gain. Different pathogenic mechanisms may be involved. (J Neurogastroenterol Motil 2015;21:603-611)
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Hydar El Jamaly,Guy D Eslick,Martin Weltman 대한간학회 2022 Clinical and Molecular Hepatology(대한간학회지) Vol.28 No.1
Background/Aims: Maternal and fetal outcomes in pregnant patients with Non-alcoholic fatty liver disease (NAFLD) have been largely unexplored. To determine the level of evidence associated with maternal and fetal outcomes in pregnant women with NAFLD. Methods: We conducted a comprehensive literature search. The studies included pregnant patients with a previous, current or subsequent diagnosis of NAFLD. We used a random-effects model using odds ratios (OR) with 95% confidence intervals (CI). Results: Twenty-two studies, with 13,641 female NAFLD patients were reviewed. The results highlight that NAFLD patients had a statistically significant increased likelihood of baseline diabetes mellitus (OR, 6.00; 95% CI, 2.21–16.31; P<0.001; n=7), baseline Hypertension (OR, 3.75; 95% CI, 2.13–6.59; P<0.001; n=4), gestational hypertension (OR, 1.83; 95% CI, 1.03–3.26; P=0.041; n=2), and pre-eclampsia (OR, 2.43; 95% CI, 1.46–4.04; P=0.001; n=3). The odds for a past and current history of gestational diabetes mellitus were OR, 3.78; 95% CI, 2.21–6.44; P<0.001; n=5 and OR, 3.23; 95% CI, 1.97– 5.31; P<0.001; n=6, respectively. As for fetal outcomes, pregnant NAFLD patients were significantly more likely to have a premature birth (OR, 2.02; 95% CI, 1.44–2.85; P<0.001; n=4), large for gestational age birth (OR, 2.01; 95% CI, 1.72–2.37; P<0.001; n=2) or a history of prior miscarriage or abortion (OR, 1.15; 95% CI, 1.02–1.30; P=0.02; n=2). Egger’s regression revealed no evidence of publication bias (P>0.05). Conclusions: This meta-analysis provides pooled evidence that NAFLD is associated with a substantial increase in maternal diabetic and hypertensive complications and multiple adverse fetal outcomes. This data is important for clinicians managing these patients before, during and after pregnancy.
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