The purpose of this study was to analyze the ions released from a surface pre-reacted glass ionomer (S-PRG) filler in distilled water or lactic acid solution. S-PRG filler was mixed with either solution at 1000:1, 100:1, 10:1, and 1:1 ratios by weight. By means of inductively coupled plasma atomic emission spectroscopy and a fluoride electrode, elements released from S-PRG filler were identified to be Al, B, Na, Si, Sr, and F. To investigate the effect of solution pH on ion release, the pH values of the solutions before mixing and after 24 hours' mixing with S-PRG were measured. After 24 hours' mixing, the pH values of solutions at all ratios became more neutral or weakly alkaline regardless of their initial pH levels before mixing. In conclusion, results showed that S-PRG filler released several types of ions, and that ion release was influenced by the mixing ratio of the solution rather than the initial pH of the solution.
Background
Accidental hypothermia is a serious condition that requires immediate and accurate assessment to determine severity and treatment. Currently, accidental hypothermia is evaluated using the Swiss grading system which uses core body temperature and clinical findings; however, research has shown that core body temperature is not associated with in-hospital mortality in urban settings. Therefore, we developed and validated a severity scale for predicting in-hospital mortality among urban Japanese patients with accidental hypothermia.
Methods
Data for this multi-center retrospective cohort study were obtained from the J-point registry. We included patients with accidental hypothermia who were admitted to an emergency department. The total cohort was divided into a development cohort and validation cohort, based on the location of each institution. We developed a logistic regression model for predicting in-hospital mortality using the development cohort and assessed its internal validity using bootstrapping. The model was then subjected to external validation using the validation cohorts.
Results
Among the 572 patients in the J-point registry, 532 were ultimately included and divided into the development cohort (
N
= 288, six hospitals, in-hospital mortality 22.0%) and the validation cohort (
N
= 244, six hospitals, in-hospital mortality 27.0%). The 5 “A” scoring system based on age, activities-of-daily-living status, near arrest, acidemia, and serum albumin level was developed based on the variables’ coefficients in the development cohort. In the validation cohort, the prediction performance was validated.
Conclusion
Our “5A” severity scoring system could accurately predict the risk of in-hospital mortality among patients with accidental hypothermia.
Electronic supplementary material
The online version of this article (10.1186/s40560-019-0384-2) contains supplementary material, which is available to authorized users.
Approximately 80% of patients with AH were aged ≥65 years. The in-hospital mortality rate of patients aged ≥65 years was significantly higher than that of those aged <65 years. Geriatr Gerontol Int 2018; 18: 1427-1432.
Two new phenolic glycosides, mulberrosides A (1) and C (2), were isolated from the Me2CO extract of the root bark of the cultivated mulberry tree (Morus Ihou) and identified as oxyresveratrol-4,3'-di-0^-D-glucopyranosideand moracin P-3 '-ß-D-xylopyranoside,
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