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EN
Background. Currently, there is little documented research evaluating the effect of a high-mountain environment on patients with ischemic heart disease. Objectives. The main aim of the study was to assess the effect of normobaric hypoxia on exercise tolerance in patients diagnosed with stable coronary disease. Material and methods. 22 men aged 37 to 72 (55.68 ± 9.86 years of age) with coronary disease were qualified. In the pre-study, in a normobaric normoxia environment, each patient underwent: resting ECG, spiroergometric test using a treadmill, laboratory tests (gasometry, lactic acid concentration). The patients stayed in the cabinet for 3 hours at the: 1) normoxia, 2) hypoxia (2000 m a.s.l), 3) hypoxia (3000 m a.s.l.) levels. After the 3-hour period, patients underwent a spiroergometric exercise tolerance test combined with a blood lactic acid concentration test. Venous blood and capillary blood were drawn for gasometry testing purposes. Results. Under 2000 and 3000 m hypoxia noted a significantly shorter duration of the exercise test, distance travelled and MET values. An increase in resting blood pH and a decrease of resting and peak pCO2 and pO2 were observed. Conclusions. As a result of a 3-hour exposure to normobaric hypoxia, the exercise tolerance of patients after acute coronary syndrome treated with angioplasty combined with coronary stent implantation decreases. There is no clear information for patients as to whether high mountain conditions are safe for them. The presented research was a form of introduction to wider and more thorough experiments that can result in practical information for patients.
EN
The primary goal of pattern recognition is supervised or unsupcrvised classification in order to solve decision - making problems. Medical diagnosis brings about many practical problems, which may be interpreted as pattern recognition tasks. Making diagnosis of a given patient means to solve a classification problem - we must recognize patient’s disease on the basis on some symptoms. The aim of the article is to present the results of using selected pattern recognition algorithms to classify patients with Coronary Artery Disease undergoing Coronary Artery Bypass Grafting (CABG).
EN
Classification and regression trees are very popular and attractive types of classifiers, widely used to solve decision-making problems in different fields of science. The study was conducted to identify preoperative risk factors associated with morbidity outcome among patients undergoing isolated Coronary Artery Bypass Grafting (CABG) and to develop some classification rules assigning patients to selected risk subgroups. Prediction rules were established on the basis of the selected tree-structured models. The following tree-based algorithms were used: QUEST, CRUISE, LOTUS and PLUS.
PL
Drzewa klasyfikacyjne i regresyjne należą do bardzo popularnych metod klasyfikacji, przede wszystkim ze względu na prostotę interpretacji i przejrzystą formę wizualizacji wyników. Stąd też są one szeroko wykorzystywane do rozwiązywania problemów decyzyjnych w różnych dziedzinach nauki. Celem prowadzonych badań była identyfikacja przedoperacyjnych czynników ryzyka, związanych z wystąpieniem powikłań śród- i pooperacyjnych wśród pacjentów z chorobą wieńcową, leczonych w sposób operacyjny. Dodatkowo podjęto próbę zdefiniowania reguł decyzyjnych, które mogłyby umożliwić przydzielenie pacjenta do jednej z wyróżnionych grup ryzyka operacyjnego na podstawie opisujących go cech przedoperacyjnych. Reguły klasyfikacyjne budowano wykorzystując metodę rekurencyjnego podziału. W analizie uwzględniono algorytmy QUEST i CRUJSE, tworzące drzewa klasyfikacyjne oraz algorytmy LOTUS i PLUS, łączące rekurencyjny podział przestrzeni cech z analizą regresji logistycznej.
EN
The results of research on the social genesis of coronary artery disease (CAD) based on life-cycle approach indicate that low socioeconomic status during early phases of ontogenesis is connected with increased risk of developing CAD in adulthood. It means that genesis of social health inequalities, concerning unequal social distribution of CAD, should be considered including early-life social influences. Scientific data concerning the developmental origins of non-communicable chronic diseases, especially those well described regarding CAD, constitute a significant complement to traditional research approach to social health inequalities, focused on middle-aged populations and socioeconomic influences in adulthood, and put emphasis on the role of assessment of the cumulative psychosocial risk of somatic diseases throughout the human life-cycle. This approach is particularly useful in understanding the social processes related to etiopathogenesis of chronic diseases with long latency periods, especially atherosclerosis. Health policy actions, aimed at effective diminishing of social health inequalities, should take into account the above mentioned data and should be directed not only at standard, behavioral coronary risk factors, but also at poor families and their children, who, in the light of the current knowledge, are highly predisposed to suffer from CAD in adulthood.
PL
Wstęp. Wraz ze wzrostem zachorowalności na choroby układu krążenia, w szczególności chorobę wieńcową (CAD), wzrasta liczba zabiegów kardiochirurgicznych. W okresie pooperacyjnym pacjenci zażywają największą liczbę środków przeciwbólowych, jak również narażeni są na wysoki poziom lęku związany z silnym bólem.
EN
Background. Along with the increase in the incidence of cardiovascular disease (CAD), in particular coronary disease (CAD), the number of cardiac surgery procedures increases. In the postoperative period, patients take a lot of analgesic drugs as well as are exposed to high levels of anxiety associated with severe pain.
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