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1
Content available remote

Indapamide-induced hyponatremia or the syndrome of inappropriate antidiuretic hormone secretion: a case report

100%
Romaszko J., Targonski R., Cichowski L., Sadowski J.
Open Medicine
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2011
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vol. 6
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issue 4
407-410
EN
We report a case of an apparently well-documented indapamide-induced hyponatremia. The initial diagnosis was made on the basis of dechallenge and rechallenge performed on two occasions. Further course of the disease, which proved inconsistent with our expectations, prompted us to look for another aetiology leading to the final diagnosis of the syndrome of inappropriate antidiuretic hormone secretion (SIADH) complicated by indapamide treatment.
2
Content available remote

The incidence of pulmonary tuberculosis among the homeless in north-eastern Poland

88%
Romaszko J., Buciński A., Kuchta R., Bednarski K., Zakrzewska M.
Open Medicine
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2013
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vol. 8
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issue 2
283-285
EN
Tuberculosis (TB) is a disease particularly affecting the poorest socioeconomic groups. One such group in Central Europe are the homeless. We developed a prevention programme that targets, among others, homeless individuals in Warmia and Mazury Province (in the northeast of Poland). We investigated 121 homeless persons. We performed surveys, X-rays and microbiological tests of the sputum for TB. Five cases of pulmonary TB were found. The prevalence of TB in this community was estimated at 4132 per 100,000 (4.13%). Efficient TB control justifies continued prevention programmes aimed at the systematic monitoring of the homeless population.
3
Content available remote

Evaluation of selected lipid parameters and blood pressure in ethnically-homogenous population of middle-aged persons, depending on gender, age and body mass

76%
Buciński A., Romaszko J., Targoński R., Cichowski L., Romaszko E., Zakrzewski A., Wnuk M.
Open Medicine
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2010
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vol. 5
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issue 4
486-494
EN
The study is a retrospective analysis of data obtained from a cardiovascular disease prevention program financed by the National Health Fund (Poland). The aim of the study was to evaluate the population to demonstrate the prevalence of favourable and unfavourable lipid parameters and blood pressure values depending on age and BMI. A total of 2,616 subjects were included in the study (811 men and 1805 women aged between 35 and 55 years of age) who perceived themselves as completely healthy individuals and in whom no cardiovascular disease or diabetes mellitus had been diagnosed. We evaluated blood pressure values, body weight, height, BMI, fasting glucose, total cholesterol, triglycerides, HDL and LDL in the serum of venous blood. The above-mentioned parameters were compared in women and men depending on BMI and age. It was demonstrated that the epidemiological situation of women in the analysed age group, regardless of the studied parameter and method of its evaluation, is much more favourable than that of men. We have demonstrated that evaluation of the analysed lipid parameters and blood pressure should be performed with consideration to gender and age. Otherwise conclusions may be obtained which are not satisfied by 75-95% of the population in a given age group. Obesity was highlighted as a factor triggering further lipid disturbances and blood pressure increase.
4
Content available remote

Artificial neural networks approach to early lung cancer detection

64%
Goryński K., Safian I., Grądzki W., Marszałł M., Krysiński J., Goryński S., Bitner A., Romaszko J., Buciński A.
Open Medicine
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2014
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vol. 9
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issue 5
632-641
EN
Lung cancer is rated with the highest incidence and mortality every year compared with other forms of cancer, therefore early detection and diagnosis is essential. Artificial Neural Networks (ANNs) are “artificial intelligence” software which have been used to assess a few prognostic situations. In this study, a database containing 193 patients from Diagnostic and Monitoring of Tuberculosis and Illness of Lungs Ward in Kuyavia and Pomerania Centre of the Pulmonology (Bydgoszcz, Poland) was analysed using ANNs. Each patient was described using 48 factors (i.e. age, sex, data of patient history, results from medical examinations etc.) and, as an output value, the expected presence of lung cancer was established. All 48 features were retrospectively collected and the database was divided into a training set (n=97), testing set (n=48) and a validating set (n=48). The best prediction score of the ANN model (MLP 48-9-2) was above 0.99 of the area under a receiver operator characteristic (ROC) curve. The ANNs were able to correctly classify 47 out of 48 test cases. These data suggest that Artificial Neural Networks can be used in prognosis of lung cancer and could help the physician in diagnosis of patients with the suspicion of lung cancer.
5
Content available remote

Prediction of antimicrobial activity of imidazole derivatives by artificial neural networks

64%
Wnuk M., Marszałł M., Zapęcka A., Nowaczyk A., Krysiński J., Romaszko J., Kawczak P., Bączek T., Buciński A.
Open Medicine
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2013
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vol. 8
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issue 1
1-15
EN
The main goal of our study is the analysis of data obtained from molecular modeling for a series of imidazole derivatives that possess strong antifungal activity. The research was designed to use artificial neural network (ANN) analysis to determine quantitative relationships between the structural parameters and anti-Streptococcus pyogenes activity of a series of imidazole derivatives. ANN in association with quantitative structure-activity relationships (QSAR) represents a promising tool in the search for drug candidates among the practically unlimited number of possible derivatives. In this work, a series of 286 imidazole derivatives presented as cationic three-dimensional structures was used. The activity was expressed as a logarithm of the reciprocal of the minimal inhibitory concentrations, log 1/MIC. Multilayer perceptron ANN was used for predictions of antimicrobial potency of new imidazole derivatives on the basis of their structural descriptors. The obtained correlation coefficient equaled 0.9461 for the learning set, 0.9060 for the validation set and 0.8824 for the testing set of imidazole derivatives. Hence, satisfactory and practically useful predictions of anti-Streptococcus pyogenes activity for a series of imidazole derivatives was obtained, supporting the future successful interpretation of QSAR analysis for those compounds.
6
Content available remote

An assessment of the duration of breastfeeding in north-eastern Poland

64%
Romaszko J., Czerwionka-Szaflarska M., Piekuś N., Skajewska B., Sielużycka A., Romaszko E., Kwiatkowski A., Gawryjołek J., Buciński A.
Open Medicine
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2013
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vol. 8
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issue 1
75-79
EN
In 2005, the European Commission presented a report on the current situation associated with the protection, promotion and support of breastfeeding in 29 European countries. According to the report, exclusive breastfeeding was undertaken by 71% of the mothers in Poland. We concluded that an attempt shall be made to verify these data values. The aim of our survey was to assess the duration of breastfeeding and identify the potential medical and social factors affecting this parameter in Poland. We surveyed 427 women aged 18 to 40 from Northeastern Poland. The duration of breastfeeding and the presence of selected potential factors that may affect this parameter were assessed in 591 children. The mean duration of exclusive breastfeeding was 4.73 months with breastfeeding being initiated in 97.87% and continued beyond 12 months (following the introduction of complementary foods) in 32.49 % of the children. In our region, nearly all mothers attempt to breastfeed. Exclusive breastfeeding is continued by 75.46% and 29.27% of the mothers by 3 and 6 months of the baby’s life. Breastfeeding with complementary feeding is continued by 56.01% and 32.49% of the mothers by 6 and 12 months of the baby’s life.
7
Content available remote

ANN as a prognostic tool after treatment of non-seminoma testicular cancer

64%
Marszałł M., Krysiński J., Sroka W., Nyczak Z., Stefanowicz M., Waśniewski T., Romaszko J., Buciński A.
Open Medicine
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2012
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vol. 7
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issue 5
672-679
EN
Testicular cancer is rare but is the most common cancer in males between 15 and 34 years of age. Two principal types of testicular cancer are distinguished: seminomas and non-seminomas. If detected early, the overall cure rate for testicular cancer exceeds 90%. In this study, artificial neural network (ANN) analysis as a prognostic tool was demonstrated regard to five year recurrence after the non-seminoma treatment. Data from 202 patients treated for non-seminoma were available for evaluation and comparison. A total of 32 variables were analysed using the ANN. The ANN approach, as an advanced multivariate data processing method, was demon-strated to provide objective prognostic data. Some of these prognostic factors are consistent or even imperceptible with previously evaluated by other statistical methods.
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