Background/Aims: The degree of tubular atrophy and interstitial fibrosis (IFTA) is an important prognostic factor in glomerulonephritis. Imbalance between pro-inflammatory cytokines such as monocyte chemoattractant protein-1 (MCP-1) and protective cytokines such as epidermal growth factor (EGF) likely determine IFTA severity. In separate studies, elevated MCP-1 and decreased EGF have been shown to be associated with IFTA severity. In this study, we aim to evaluate the predictive value of urinary EGF/MCP-1 ratio compared to each biomarker individually for moderate to severe IFTA in primary glomerulonephritis (GN). Methods: Urine samples were collected at biopsy from primary GN (IgA nephropathy, focal and segmental glomerulosclerosis, minimal change disease, membranous nephropathy). MCP-1 and EGF were analyzed by enzyme-linked immunosorbent assay. Results: EGF, MCP-1 and EGF/MCP-1 ratio from primary GN, all correlated with IFTA (n=58). By univariate analysis, glomerular filtration rate, EGF, and EGF/MCP-1 ratio were associated with IFTA. By multivariate analysis, only EGF/ MCP-1 ratio was independently associated with IFTA. EGF/MCP-1 ratio had a sensitivity of 88% and specificity of 74 % for IFTA. EGF/MCP-1 had good discrimination for IFTA (AUC=0.85), but the improvement over EGF alone was not significant. Conclusion: EGF/MCP-1 ratio is independently associated IFTA severity in primary glomerulonephritis, but the ability of EGF/ MCP-1 ratio to discriminate moderate to severe IFTA may not be much better than EGF alone.

Large platelets with high haemostatic activity may lead to increased platelet aggregation.. Mean platelet volume (MPV), an indicator of platelet reactivity, may emerge as a prognostic marker in patients with coronary artery disease (CAD). It was the objective of this study to conduct a systematic review and meta-analysis to assess prognostic effects of MPV on cardiovascular events (CVE) in CAD patients. We searched MEDLINE and SCOPUS from inception to January 2, 2014. All studies that reported MPV and the incidence of cardiovascular events in CAD patients were included. Two reviewers independently extracted the data. A random-effects model was applied for pooling the mean difference of MPV between patients with vs without CVE. Among 30 eligible studies, eight studies reported mean difference of MPV between CVE groups, 11 studies reported MPV dichotomous into high vs low MPV groups, and 11 studies reported both. The pooled mean difference was 0.69 fL (95 %CI = 0.36, 1.01), i. e. patients with CVE had a MPV about 0.69 fL higher than non-CVE. Patients with higher MPV were about 12 % more likely to die than patients with lower MPV (RR 1.12; 95 %CI = 1.02-1.24). However, pooling these effects was based on high heterogeneity and the source of heterogeneity could not be identified. This might be explained by many differences among included studies (e. g. study population, outcomes of interest, analysate, time between blood collection and MPV analysis, etc). These findings suggest that MPV may be a useful prognostic marker in patients with CAD.

Background. Data in the literature has shown poor sleep quality to be frequently observed in hospitalized patients and known to be associated with poor treatment outcome. Many factors may impact poor sleep quality, and there is currently limited available data. We aim to determine the prevalence of poor sleep quality and associated factors in patients admitted to internal medicine wards as well as the change of sleep quality over time after admission. Methods. An analytic observational study was conducted at the internal medicine wards at the King Chulalongkorn Memorial Hospital, Bangkok, Thailand. Patients were personally interviewed to evaluate the history of sleep quality at home, sleep quality after the first and the third days of admission, and potential associated factors. The Pittsburgh Sleep Quality Index and screening questionnaires for the common diseases associated with poor sleep quality were also utilized. The logistic regression analysis was used to determine the independent factors which led to poor sleep quality. Results. Data were collected from 96 patients during the period of June 2015 to February 2016. The mean age of the patients was 50.8±16.7 years, and 51% were male. Infectious disease was the most common principal diagnosis accounted for 29.2%. The results show high prevalence of poor sleep quality after the first night of admission compared to baseline sleep quality at home (50% vs. 18.8%; p<0.001). After 3 days of admission, the prevalence of poor sleep quality was reduced to the level close to baseline sleep quality at home (28.1% vs. 18.8%; p=0.13). Multivariate analysis demonstrated that light exposure and pain were the main independent factors for poor sleep quality on the first day (odds ratio 6.68; 95% CI 2.25-19.84) and on the third day (odds ratio 3.47; 95% CI 1.24-9.71), respectively. Conclusions. This is the first study conducted on the sleep quality of hospitalized patients that included the follow-up period during hospital admission. Our study demonstrated high prevalence of poor sleep quality in hospitalized patients on the first day. Interestingly, the sleep quality was partly improved during hospitalization. Light exposure and pain were demonstrated to be the factors associated with poor sleep quality.