Predictors of survival in oesophageal cancer patients in a high-risk area in Northern Iran: the role of health services utilisation.

We aimed to determine predictors of survival in oesophageal cancer (EC) patients in a high-risk area. This study was conducted on EC patients diagnosed in 2007-2008 in Golestan province, Iran. Diagnostic (DU) and Therapeutic (TU) services utilisation indices were determined. DU and TU indices of 1 were considered as good utilisation. EC-specific survival rates were calculated. Multivariate Cox-regression model was used to calculate adjusted hazard ratios (AHRs). Two hundred and twenty-three EC subjects were enrolled. The median survival time was 10.47 months and the 5-year survival rate was 11%. Cox-regression analysis suggested that stage of tumour (AHRregional  = 3.75, 95% confidence interval [CI]: 2.34-6.00; AHRmetastasis  = 12.21, 95% CI: 7.42-20.08) and TU (AHR = 1.78, 95% CI: 1.25-2.52) were the strongest variables related to EC survival. The median survival time in patients with good and poor TU were 14.37 and 8.53 months respectively (p < .01). There was no significant relationship between DU and EC survival. We found relatively low survival rates in our EC patients when compared with developed countries. Our results also suggested an increasing trend for EC survival rate during recent years. Good TU could predict higher survival rates. Patients' access to therapeutic services may be considered as an important indicator in decision-making for controlling EC.

Determinants of healthcare utilisation and predictors of outcome in colorectal cancer patients from Northern Iran.

We aimed to assess healthcare utilisation (HU), its determinants, as well as its relationship with survival in colorectal cancer (CRC) patients. This study was conducted on incident CRC cases from Northern Iran. Information on HU was collected using a valid questionnaire, considering eight diagnostic and four therapeutic services. The results were categorised as good and poor HU. Multivariate logistic regression analysis was used to assess the relationship between HU and other variables. Cox regression analysis was performed to determine major predictors of survival. In total, 227 new cases of CRC were enrolled. HU could be assessed in 218 subjects (96%). Living in rural areas was the strongest variable related to poor HU (adjusted OR, odds ratio = 2.65; CI, confidence interval: 1.30-5.40). The median survival time was 40.5 months. The 1-, 3- and 5-year survival rates were 71%, 52% and 44% respectively. Cox regression analysis showed a significant lower survival rate in patients with poor HU (HR = 2.3; CI: 1.46-3.64). HU was an independent predictor of survival in our CRC patients. Patients' place of residence was a significant determinant of HU. Regarding its effects on patients' outcome, HU and its determinants should be considered in designing CRC controlling programmes in our region and similar high-risk populations.

Iodine uptake of adrenal glands: A novel and reliable spectral dual-layer computed tomographic-derived biomarker for acute septic shock.

OBJECTIVES: Septic shock is a potentially fatal condition. This study aims to assess whether iodine uptake and iodine density of abdominal organs on dual-layer spectral detector computed tomography (SDCT) could serve as a new imaging biomarker for patients in septic shock. METHODS: Here, 95 patients who received contrast-enhanced abdominal CT examinations were included and separated into two groups: group A - septic shock; group B - no shock condition. Preselected abdominal (right and left adrenal gland, right and left kidney, infrarenal inferior vena cava (IVC), pancreas, spleen, and liver) localizations were independently evaluated by two radiologists, who measured iodine concentrations (mg/ml) and Hounsfield units (HU). RESULTS: In all, 1520 measurements of iodine concentrations in mg/ml and HU were performed, with 27 patients in group A and 68 in group B. Iodine concentrations in mg/ml and HU correlated significantly in all organs measured. The corresponding correlation coefficient (r) ranged from 0.809 (pancreas) to 0.963 (right kidney). Inter-rater reliability (IRR) was very good for mg/ml (κ = 0.8; p < 0.01) and good for HU (κ = 0.773; p < 0.01) measurements. The mean iodine concentration and HU of the adrenal glands in septic and nonseptic patients was 4.88 ± 1.16 mg/ml/153 ± 36 HU and 2.67 ± 1.07 mg/ml/112 ± 41 HU, respectively. Iodine concentrations in the adrenal glands were significantly higher in group A than in group B patients (p < 0.01). The other organs remained unaffected and no significant difference was observed between patients in group A and B. Patients in group A presented significantly more often with an iodine uptake of >3.5 mg/ml of one adrenal gland (sensitivity = 0.926, specificity = 0.849, AUC = 0.951) or/and a combined concentration of >7 mg/ml of both adrenal glands (sensitivity = 0.889, specificity = 0.836, AUC = 0.928). CONCLUSION: SDCT-derived iodine concentration of the adrenal glands could serve as a novel imaging biomarker for patients in acute septic shock. Our data suggest that an iodine uptake of >3.5 mg/ml of at least one adrenal gland or a combined iodine uptake of >7 mg/ml in both adrenal glands identifies patients in this condition.

Bacterial colonization and occurrence of Legionella pneumophila in warm and cold water, in faucet aerators, and in drains of hospitals.

Warm and cold water as well as water from wash basin drains and faucet aerators was examined to determine the number of viable and dead bacteria by culture and by staining and to establish the spectrum of species with special consideration of Legionella pneumophila. The relation between the number of Legionella pneumophila, the temperature, and the iron content of the water was determined in three separate warm water systems. High colony counts (up to 8.9 X 10(5) colony-forming units), were detected in both warm and cold water at certain sampling sites. The most prevalent genera were Pseudomonas, Bacillus, Flavobacterium, Acinetobacter, and Moraxella. Legionella pneumophila was found in every building in 35 of 150 warm samples and in 1 of 43 cold water samples. The highest water temperature of a sample containing Legionella pneumophila was 64 degrees C. The correlation between high colony counts and the occurrence of Legionella pneumophila in the samples was not significant. High iron concentrations, however, appear to have a positive effect on the growth of Legionella pneumophila.