Microbiological Aspects of the Batch Preparation of Replacement Fluid for Hemofiltration

1984 ◽  
Vol 2 (3) ◽  
pp. 158-163 ◽  
Author(s):  
Hans U. Mayr ◽  
Franck Stec ◽  
Bernard Canaud ◽  
Charles M. Mion ◽  
Stanley Shaldon
2017 ◽  
pp. 68-73
Author(s):  
I.P. Polishchuk ◽  

The objective: was to examine the effectiveness of treatment of late miscarriage threat by micronized form of progesterone for 100 mg – 3 times a day in the form of gelatin pills and vaginal tablets with lactose. Patients and methods. Under our supervision there were 70 pregnant women with normocenosis of vagina (NCV) without extragenital pathology, which were not performed systemic or local treatment with antibacterial drugs in the last 4 weeks. Among them 25 pregnant women with TLSM treated by gelatin tablets of micronized progesterone (GTP) (group 1); 25 pregnant women with TLSM, treated by vaginal micronized progesterone tablets (VPT) (2nd group) and 20 healthy women with physiological pregnancy – PV (control group). The distribution of women in the group adhered to the principles of randomization. The age of examined women ranged from 19 to 32 years, most pregnant women were aged under 30 years (89.02%). General clinical examination was carried out according to the standard scheme according to the Order MH of Ukraine № 620. Results. During the research we have determined the colpocytologcal dynamics and state of vaginal microbiota in pregnant women with threatened late miscarriage with initial vaginal normocenosis before and after treatment whit vaginal forms of progesterone. Conclusion. The received results showed low efficiency of micronized progesterone gelatin dragee at threat of the late miscarriage that at small therapeutic effect has led to the development of vaginal dysbiosis in all surveyed. In contrast, the use of micronized progesterone vaginal tablets – the maximally rapid therapeutic effect without disturbance of vaginal normocenosis. Key words: the threat of a late miscarriage, vaginal micronized forms of progesterone.


2019 ◽  
Author(s):  
Chem Int

The assessment of groundwater is essential for the estimation of suitability of water for safe use. An attempt has been made to study the groundwater of selected areas of Punjab (Sheikhupura & Sahiwal) and Sindh (Sindh, Jawar Dharki and Dharki), Pakistan. The results indicate that pH, color and odor were all within limits of WHO that is pH ranges 6.5–8.5, colorless and odorless, respectively. The high values of suspended solids were observed in the Sindh-1 and Dharki samples. Microbiologically only Sahiwal and Jawar Dharki were found fit for drinking purpose. Trace metals analysis of Sheikhupura-1 and Sindh-1 showed that values do not fall within limits of WHO for Iron. The ionic concentration analysis showed that high bicarbonate (HCO3-), ions are present in the samples of Sahiwal and Dharki; Sindh-1 and Jawar Dharki samples showed very high concentration for chloride ions, all samples were satisfactory level for sulphate (SO42-), sodium, magnesium and phosphate ions except samples of Sindh-1 and Jawar Dharki. High concentration of calcium and potassium ions was observed in samples of Sindh-1, while all other samples were found fit for drinking purposes in respect of nitrate, nitrite and ammonium ions. The high concentration of Fluoride was found only in Sheikhupura-2 samples.


LWT ◽  
2021 ◽  
pp. 111906
Author(s):  
Katarzyna Rybak ◽  
Artur Wiktor ◽  
Katarzyna Pobiega ◽  
Dorota Witrowa-Rajchert ◽  
Małgorzata Nowacka

2021 ◽  
Vol 21 (S2) ◽  
Author(s):  
Huan Chen ◽  
Yingying Ma ◽  
Na Hong ◽  
Hao Wang ◽  
Longxiang Su ◽  
...  

Abstract Background Regional citrate anticoagulation (RCA) is an important local anticoagulation method during bedside continuous renal replacement therapy. To improve patient safety and achieve computer assisted dose monitoring and control, we took intensive care units patients into cohort and aiming at developing a data-driven machine learning model to give early warning of citric acid overdose and provide adjustment suggestions on citrate pumping rate and 10% calcium gluconate input rate for RCA treatment. Methods Patient age, gender, pumped citric acid dose value, 5% NaHCO3 solvent, replacement fluid solvent, body temperature value, and replacement fluid PH value as clinical features, models attempted to classify patients who received regional citrate anticoagulation into correct outcome category. Four models, Adaboost, XGBoost, support vector machine (SVM) and shallow neural network, were compared on the performance of predicting outcomes. Prediction results were evaluated using accuracy, precision, recall and F1-score. Results For classifying patients at the early stages of citric acid treatment, the accuracy of neutral networks model is higher than Adaboost, XGBoost and SVM, the F1-score of shallow neutral networks (90.77%) is overall outperformed than other models (88.40%, 82.17% and 88.96% for Adaboost, XGBoost and SVM). Extended experiment and validation were further conducted using the MIMIC-III database, the F1-scores for shallow neutral networks, Adaboost, XGBoost and SVM are 80.00%, 80.46%, 80.37% and 78.90%, the AUCs are 0.8638, 0.8086, 0.8466 and 0.7919 respectively. Conclusion The results of this study demonstrated the feasibility and performance of machine learning methods for monitoring and adjusting local regional citrate anticoagulation, and further provide decision-making recommendations to clinicians point-of-care.


2019 ◽  
Vol 106 (5-6) ◽  
pp. 2227-2241 ◽  
Author(s):  
Patrik Fager ◽  
Martina Calzavara ◽  
Fabio Sgarbossa

AbstractKitting – meaning to supply assembly with components in presorted kits – is widely seen as beneficial for assembly quality and efficiency when there is a multitude of component variants. However, the process by which kits are prepared – the kit preparation – is labour-intensive, and kit errors are problematic at assembly processes. The use of robotics to support kit preparation has received some attention by researchers, but literature is lacking with respect to how collaborative robots – cobots – can support kit preparation activities. The purpose of this paper is to identify the potential of a cobot to support time-efficient batch preparation of kits. To address the purpose, the paper presents a mathematical model for estimation of the cycle time associated with cobot-supported kit preparation. The model is applied in a numerical example with experimental data from laboratory experiments, and cobot-supported kit preparation is compared with manual kit preparation. The findings suggest that cobot-supported kit preparation is beneficial with diverse kits and smaller components quantities per SKU (Stock Keeping Unit) and provides less variability of the outcome, when compared to manual kit preparation. The paper reveals several insights about cobot-supported kit preparation that can be valuable for both academics and practitioners. The model developed can be used by practitioners to assess the potential of cobots to support kit-batch preparation in association with assembly, spare parts, repair and maintenance, or business to business industry.


2008 ◽  
Vol 46 (3) ◽  
pp. 892-896 ◽  
Author(s):  
C. A. Arias ◽  
M. Vallejo ◽  
J. Reyes ◽  
D. Panesso ◽  
J. Moreno ◽  
...  

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