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EN
Influenza is one of the most common cyclic respiratory diseases in humans. Methods of prevention are multidirectional, but the most effective and most efficacious way to prevent influenza and its complications is through preventive vaccination. This work aims to determine different factors affecting the decision concerning influenza vaccine. The percentage of people vaccinated against the flu was evaluated, as well as their knowledge of post-influenza complications, etc. among full-time students and bridging studies of nursing and physiotherapy (full-time and part-time) at the University of Technology and Life Sciences in Radom, and students of medicine and pharmacy at the Medical University of Łódź. The research tool was the authors' questionnaire with 18 questions. The surveys conducted, consisting of multiple choice questions, were anonymous. In total, the survey involved 470 students. Overall, the number of people who were vaccinated against influenza in the 2012/13 epidemic season numbered 15 respondents, representing 5.84% of the total group of respondents. For the group of nursing students it was 6%, for physiotherapy students 5%, for students of medicine and pharmacy 14%. The percentage of respondents who said they would get vaccinated if the vaccinaton was free of charge was also low. Increasing the percentage of people vaccinated against influenza (immunization coverage) is a very important measure in preventing influenza epidemics. Therefore, it is necessary to identify the reasons why people are reluctant to be vaccinated against influenza, particularly among students who will work in the future in the health care services sector.
PL
WSTĘP: Zakażenia występują u wszystkich pacjentów, w tym także u chorych na cukrzycę (diabetes mellitus – DM), której współwystąpienie może jednak determinować przebieg zakażenia. Celem pracy było porównanie przebiegu i leczenia infekcji u chorych z DM i bez DM. MATERIAŁ I METODY: Analizie poddano dokumentację medyczną 180 pacjentów hospitalizowanych w 2021 r. w Klinice Chorób Wewnętrznych, Autoimmunologicznych i Metabolicznych w Katowicach z powodu infekcji. W analizie uwzględniono wiek, płeć, rozpoznanie kliniczne, metodę leczenia DM, antybiotykoterapię i parametry laboratoryjne. Do analizy statystycznej wykorzystano program Statistica. WYNIKI: Najczęstszymi przyczynami hospitalizacji w obu grupach były: zapalenie płuc w przebiegu COVID-19 (35,5% DM vs 33,7% bez DM) oraz infekcje dróg moczowych (26,3% DM vs 19,2% bez DM). Istotnie więcej pacjentów bez DM wymagało leczenia z użyciem wielu antybiotyków (69,7% DM vs 89,4% bez DM). Najczę-ściej stosowanymi antybiotykami były β-laktamy (59,2% DM vs 57,7% bez DM). Śmiertelność wewnątrzszpitalna wyniosła 20% (21% DM vs 19,2% bez DM). Czas hospitalizacji wynosił 1–35 dni, mediana w całej grupie wyniosła 9 dni (10 dni w przypadku DM vs 8 dni bez DM). Analizowano zarówno początkowe, jak i końcowe stężenie CRP. Mediana wartości początkowej wyniosła 71,6 (72,3 DM vs 66,2 bez DM), a mediana wartości końcowej 17,15 (17,9 DM vs 15,3 bez DM). Mediana stężenia glukozy przy przyjęciu wynosiła 123,5 mg/dL (156 mg/dL DM vs 107 mg/dL bez DM). WNIOSKI: Wiele powikłań DM jest dobrze znanych, jednak przebieg i leczenie infekcji nie różnią się istotnie u pacjentów z DM i bez DM. Mimo to do każdego pacjenta należy podchodzić indywidualnie, tak aby wybrane leczenie stanowiło zoptymalizowaną terapię.
EN
INTRODUCTION: Infections affect all patients, including those with diabetes mellitus (DM), which can determine the course of infection. The aim of the study was to compare the course and treatment of infection in patients with DM and without DM. MATERIAL AND METHODS: 180 medical records of patients hospitalized in 2021 at the Department of Internal Medicine, Autoimmune and Metabolic Diseases in Katowice, with infections were analyzed. The analysis included age, sex, clinical diagnosis, DM treatment, antibiotic therapy, and laboratory parameters. The Statistica program was used for statistical analysis. RESULTS: The most prevalent reasons for hospitalization in both groups were: pneumonia in the course of COVID-19 (35.5% DM vs 33.7% non-DM) and urinary tract infections (26.3% DM vs 19.2% non-DM). Significantly more non-DM patients required polyantibiotic treatment (69.7% DM vs 89.4% non-DM). The most frequently used antibiotics were β-lactams (59.2% DM vs 57.7% non-DM). In-hospital mortality was 20% (21% DM vs 19.2% non-DM). The length of hospitalization was 1–35 days, the median in the whole group was 9 days (10 days DM vs 8 days non-DM). Both the initial and terminal CRP concentrations were analyzed. The median of the initial value was 71.6 (72.3 DM vs 66.2 non-DM) and the median of the terminal value was 17.15 (17.9 DM vs 15.3 non-DM). The glucose concentration on admission was assessed with the median 123.5 mg/dL (156 mg/dL DM vs 107 mg/dL non-DM). CONCLUSIONS: Many DM complications are well known, yet the course and treatment of infection do not differ significantly in patients with DM and without DM. Despite that, each patient should be considered individually, so the chosen treatment constitutes an optimized therapy.
EN
The medical application of honey has a long tradition. In antiquity it was used as a potent substance with dietary and medicinal attributes. Based on Celsus’ texts we know that the ancient Romans used honey primarily in treating skin conditions, including inflammations such as Erysipelas, wounds, all types of ulcers and eye diseases. Celsus mentioned honey in numerous formulas, but he did not distinguish between its types or the ways in which it was obtained. More attention was paid to such matters in the following centuries. This can be observed by analysing the formulas included in the works of younger authors.
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Content available Kropki kwantowe jako narzędzia diagnostyczne
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EN
The discovery of quantum dots (QDs) was a breakthrough event as it influenced almost every area of our lives. They are used in new technologies, the food industry, clothing production, and finally in medicine. Due to their unique properties, QDs are successfully used in the diagnosis of diseases of various origins - the so-called civilization diseases, infections and cancers. Quantum dots can also serve as tools to monitor the proteolytic activity of enzymes, effectively lowering the detection limit. Our team has been dealing with the proteolytic activity of enzymes for many years, especially in disease diagnosis, for which we also use quantum dots. In this article, we presented the main trends in the use of QDs as diagnostic tools.
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