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229 results on '"Klimasauskas A"'

2. Global availability of parenteral nutrition: Pre- and post-COVID-19 pandemic surveys

Author

Klek, Stanislaw, del Rio Requejo, Isabel Martinez, Hardy, Gil, Francisco, Liza Mei P., Abbasoglu, Osman, Acosta, Juan Carlos Ayala, Granados, Luis Miguel Becerra, Boeykens, Kurt, Carey, Sharon, Chourdakis, Michael, Compher, Charlene, De Cloet, Joeri, Dubrov, Sergiej, Fuentes, Catalina, Sámano, Ana Karina García, Velasquez, María Eloisa García, Goos, Cezanne, Reyes, José Guillermo Gutierrez, Joon, Lee V, Klimasauskas, Andrius, Komsa, Regina, Krznaric, Zeljko, Ljubas, Dina, Moscoso, Claudia P. Maza, Larreategui, Rosa, Mirea, Liliana, Meier, Remy, Nyulasi, Ibolya, Oivind, Irtun, Panisic-Sekeljic, Marina, Poulia, Kalliopi Anna, Rasmussen, Henrik Højgaard, Savino, Patricia, Singer, Pierre, Tamasi, Peter, Uyar, Mehmet, Thu, Nguyen Viet Quynh, Waitzberg, Dan, Weimann, Arved, Wong, Theodoric, Yu, Jianchun, Wojcik, Paulina, and Schneider, Stephane

Published
2024
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4. DNA Labeling Using DNA Methyltransferases

Author

Tomkuvienė, Miglė, Kriukienė, Edita, Klimašauskas, Saulius, Crusio, Wim E., Series Editor, Dong, Haidong, Series Editor, Radeke, Heinfried H., Series Editor, Rezaei, Nima, Series Editor, Steinlein, Ortrud, Series Editor, Xiao, Junjie, Series Editor, Jeltsch, Albert, editor, and Jurkowska, Renata Z., editor

Published
2022
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6. Conceptual model of adding antibiotics to dialysate fluid during renal replacement therapy

Author

Ieva Bartuseviciene, Vaidas Vicka, Alvita Vickiene, Lidija Tetianec, Marius Dagys, Donata Ringaitiene, Andrius Klimasauskas, and Jurate Sipylaite

Subjects
Medicine, Science
Abstract

Abstract Studies have shown significant variability in antibiotic trough concentrations in critically ill patients receiving renal replacement therapy (RRT). The purpose of this study was to assess whether adding beta-lactam antibiotics to dialysate solution can maintain stable antibiotic concentrations during RRT in experimental conditions. A single compartment model reflecting the patient was constructed and connected to the RRT machine. Dialysate fluid was prepared in three different concentrations of meropenem (0 mg/L; 16 mg/L; 64 mg/L). For each dialysate concentration various combinations of dialysate and blood flow rates were tested by taking different samples. Meropenem concentration in all samples was calculated using spectrophotometry method. Constructed experimental model results suggest that decrease in blood meropenem concentration can be up to 35.6%. Moreover, experimental data showed that antibiotic loss during RRT can be minimized and stable plasma antibiotic concentration can be achieved with the use of a 16 mg/L Meropenem dialysate solution. Furthermore, increasing meropenem concentration up to 64 mg/L is associated with an increase antibiotic concentration up to 18.7–78.8%. Administration of antibiotics to dialysate solutions may be an effective method of ensuring a constant concentration of antibiotics in the blood of critically ill patients receiving RRT.

Published
2021
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7. Comparison of mortality risk evaluation tools efficacy in critically ill COVID-19 patients

Author

Vaidas Vicka, Elija Januskeviciute, Sigute Miskinyte, Donata Ringaitiene, Mindaugas Serpytis, Andrius Klimasauskas, Ligita Jancoriene, and Jurate Sipylaite

Subjects
ICU, Risk scores, Mortality, COVID-19, Infectious and parasitic diseases, RC109-216
Abstract

Abstract Background As the COVID-19 pandemic continues, the number of patients admitted to the intensive care unit (ICU) is still increasing. The aim of our article is to estimate which of the conventional ICU mortality risk scores is the most accurate at predicting mortality in COVID-19 patients and to determine how these scores can be used in combination with the 4C Mortality Score. Methods This was a retrospective study of critically ill COVID-19 patients treated in tertiary reference COVID-19 hospitals during the year 2020. The 4C Mortality Score was calculated upon admission to the hospital. The Simplified Acute Physiology Score (SAPS) II, Acute Physiology and Chronic Health Evaluation (APACHE) II, and Sequential Organ Failure Assessment (SOFA) scores were calculated upon admission to the ICU. Patients were divided into two groups: ICU survivors and ICU non-survivors. Results A total of 249 patients were included in the study, of which 63.1% were male. The average age of all patients was 61.32 ± 13.3 years. The all-cause ICU mortality ratio was 41.4% (n = 103). To determine the accuracy of the ICU mortality risk scores a ROC-AUC analysis was performed. The most accurate scale was the APACHE II, with an AUC value of 0.772 (95% CI 0.714–0.830; p

Published
2021
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15. Economy matters to fight against malnutrition: Results from a multicenter survey

Author

Klek, Stanislaw, Chourdakis, Michael, Bischoff, Stephan, Dubrov, Sergiej, Forbes, Alastair, Galas, Aleksander, Genton, Laurence, Gundogdu, Haldun R., Irtun, Oivind, Jagmane, Ilze, Jakobson-Forbes, Triin, Jirka, Adam, Kennedy, Nicholas, Klimasauskas, Andrius, Khoroshilov, Igor, Leon-Sanz, Miguel, Muscaritoli, Maurizio, Panisic-Sekeljic, Marina, Poulia, Kalliopi Anna, Schneider, Stephane, Siljamäki-Ojansuu, Ulla, Uyar, Mehmet, Wanten, Geert, and Krznaric, Zeljko

Published
2017
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18. Comparison of mortality risk evaluation tools efficacy in critically ill COVID-19 patients

Author

Sigute Miskinyte, Ligita Jancoriene, Donata Ringaitiene, Mindaugas Serpytis, Elija Januskeviciute, Jurate Sipylaite, Vaidas Vicka, and Andrius Klimasauskas

Subjects
Male, medicine.medical_specialty, Multivariate statistics, Coronavirus disease 2019 (COVID-19), Critical Illness, Infectious and parasitic diseases, RC109-216, law.invention, law, medicine, Risk scores, Humans, Hospital Mortality, Simplified Acute Physiology Score, Mortality, Pandemics, Aged, Retrospective Studies, APACHE II, SARS-CoV-2, Critically ill, business.industry, COVID-19, Retrospective cohort study, Regression analysis, Middle Aged, Prognosis, ICU, Intensive care unit, Intensive Care Units, Infectious Diseases, ROC Curve, Emergency medicine, business, Research Article
Abstract

Background As the COVID-19 pandemic continues, the number of patients admitted to the intensive care unit (ICU) is still increasing. The aim of our article is to estimate which of the conventional ICU mortality risk scores is the most accurate at predicting mortality in COVID-19 patients and to determine how these scores can be used in combination with the 4C Mortality Score. Methods This was a retrospective study of critically ill COVID-19 patients treated in tertiary reference COVID-19 hospitals during the year 2020. The 4C Mortality Score was calculated upon admission to the hospital. The Simplified Acute Physiology Score (SAPS) II, Acute Physiology and Chronic Health Evaluation (APACHE) II, and Sequential Organ Failure Assessment (SOFA) scores were calculated upon admission to the ICU. Patients were divided into two groups: ICU survivors and ICU non-survivors. Results A total of 249 patients were included in the study, of which 63.1% were male. The average age of all patients was 61.32 ± 13.3 years. The all-cause ICU mortality ratio was 41.4% (n = 103). To determine the accuracy of the ICU mortality risk scores a ROC-AUC analysis was performed. The most accurate scale was the APACHE II, with an AUC value of 0.772 (95% CI 0.714–0.830; p Conclusions The study demonstrated that the APACHE II had the best discrimination of mortality in ICU patients. Both the APACHE II and 4C Mortality Score independently predict mortality risk and can be used concomitantly.

Published
2021

21. Fat-free mass at admission predicts 28-day mortality in intensive care unit patients: the international prospective observational study Phase Angle Project

Author

Thibault, Ronan, Makhlouf, Anne-Marie, Mulliez, Aurélien, Cristina Gonzalez, M., Kekstas, Gintautas, Kozjek, Nada Rotovnik, Preiser, Jean-Charles, Rozalen, Isabel Ceniceros, Dadet, Sylvain, Krznaric, Zeljko, Kupczyk, Kinga, Tamion, Fabienne, Cano, Noël, Pichard, Claude, Graf, Séverine, Heidegger, Claudia P., Guerreiro, Marcio, Orlandi, Silvana, Klimasauskas, Andrius, Sostakaite, Gintare, Gorjup, Kristina, Kogovšek, Katja, Pirtovšek, Katja Kopriva, Norrenberg, Michelle, Rizkallah, Karen, Wéry, François, Hssain, Ali Ait, Pereira, Bruno, Souweine, Bertrand, Grange, Steven, Marchalot, Antoine, Bernier-Enguerrand, Pauline, Jakubczyk, Marlena, Różowicz, Aleksandra, Kłęk, Stanisław, Kunovic, Ana, and Phase Angle Project Investigators

Published
2016
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27. HYDRAULIC CONDUCTIVITY OF DRAINAGE DITCH BACKFILL WITH A LIME ADDITIVE IN CLAY SOILS

Author

Mindaugas Klimasauskas, Oksana Survile, Raimundas Baublys, and Valentinas Šaulys

Subjects
geography, Environmental Engineering, geography.geographical_feature_category, Ditch, Management, Monitoring, Policy and Law, engineering.material, Dispersion (geology), complex mixtures, Pollution, law.invention, Hydraulic conductivity, law, Soil water, engineering, Environmental science, Infiltrometer, Geotechnical engineering, Drainage, Filtration, Lime
Abstract

The efficiency of drainage installed in clay soils using ditch backfill of soil mixed with lime is presented in this paper. The drainage ditch backfill was mixed with lime where 0.6% of soil matter consists of active CaO. The paper proposes a methodology that determines an optimal amount of lime. The experimental site was set in Kalnujai, Raseiniai district, Lithuania. The measurement of filtration in drainage trench, the arable layer and the soil between drains was performed using a double ring infiltrometer. The mean values of the hydraulic conductivity of the arable layer, the soil between drains, the pilot backfill and drainage ditches backfill with a lime additive were respectively 1.66 0.24, 0.65 0.09, 0.94 0.13 m/d and 2.47 0.12 m/d under reliability of 95%. Dispersion analysis on pilot drainage backfill and drainage ditch backfill with lime additive under ditch backfill containing 0.6 % of CaO in soil matter showed that they significantly differ at a reliability of 95%. Thus, the effect of lime on the conductivity of the backfill of the drainage ditch for the following 30-year period of drainage operation in clay soils has remained critical.

Published
2020
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49. Dynamic neural control for a plasma etch process

Author

Card, Jill P., Sniderman, Debbie L., and Klimasauskas, Casimir

Subjects
Neural networks -- Usage, Plasma etching -- Research, Process control -- Research, Business, Computers, Electronics, Electronics and electrical industries
Abstract

This paper presents results and commentary on using a cascade neural network and a policy-iteration optimization routine to provide suggested process setpoints for recovery from long-term machine drift in a LAM 4520 6-in dielectric etcher. Traditional plasma etch variables such as pressures, gas flows, temperatures, RF power, etc. are combined with a generalized representation of the time dependent effects of maintenance events to predict film etch rates, uniformity, and selectivity. A cascade neural-network model is developed using 15 months of data divided into train, test, and validation sets. The neural model both fits the validation data well and captures the nonuniformity in the in-control region of the machine. Two control algorithms use this model in a predictive configuration to identify input state changes, including maintenance events, to bring an out-of-control situation back into control. The overall goal of the optimization is to reduce equipment downtime and decrease cost of ownership of the tool by speeding up response time and extending the lifetime of consumable parts. The optimization routines were tested on 11 out-of-control situations and successfully suggested reasonable low-cost solutions to each for bringing the system back into control. Index Terms - Cascade correlation, control, dynamic control optimization, neural network, plasma etch, process control, semiconductor manufacturing, sensitivity.

Published
1997

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