Recent trends of cancer mortality in Romanian adults

Ţereanu, Carmen; Baili, Paolo; Berrino, Franco; Micheli, Andrea; Furtunescu, Florentina; Minca, Dana Galieta; Sant, Milena

doi:10.1097/cej.0b013e3283581d90

Cited by 9 publications

(4 citation statements)

References 16 publications

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“…The percentage is almost identical to the one identified in a prospective study performed in Romania by Licker at al, (66.51% MDR and 20.18% XDR S.aureus strains) [37]. The results are consistent also with other findings [3,22], while MRSA remains a major cause of healthcare-associated infections worldwide, with higher percentages in the southern and south-eastern parts of Europe [38,39].…”

Section: Resultssupporting

confidence: 88%

The Characterization of Antibiotic Resistance of Bacterial Isolates from Intensive Care Unit Patient Samples in a University Affiliated Hospital in Romania

Golli¹,

Niţu²,

Bălăşoiu³

et al. 2019

Rev. Chim.

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To determine the resistance pattern of bacterial pathogens involved in infections of the patients aged between 18-64 years, admitted in a ICU from a 1518-bed university-affiliated hospital. A retrospective study of bacterial pathogens was carried out on 351 patients aged between 18-64 years admitted to the ICU, from January to December 2017. In this study there were analysed 469 samples from 351 patients (18-64 years). A total of 566 bacterial isolates were obtained, of which 120 strains of Klebsiella spp. (35.39%%), followed by Nonfermenting Gram negative bacilli, other than Pseudomonas and Acinetobacter (NFB) (75- 22.12%), Acinetobacter spp. (53 - 15.63%), Pseudomonas aeruginosa and Proteus (51 - 15.04%), and Escherichia coli (49 - 14.45%). The most common isolates were from respiratory tract (394 isolates � 69.61%). High rates of MDR were found for Pseudomonas aeruginosa (64.70%), MRSA (62.65%) and Klebsiella spp. (53.33%), while almost all of the isolated NFB strains were MDR (97.33%). There was statistic difference between the drug resistance rate of Klebsiella and E. coli strains to ceftazidime and ceftriaxone (p[0.001), cefuroxime (p[0.01) and to cefepime (p[0.01). The study revealed an alarming pattern of antibiotic resistance in the majority of ICU isolates.

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Section: Resultssupporting

confidence: 88%

The Characterization of Antibiotic Resistance of Bacterial Isolates from Intensive Care Unit Patient Samples in a University Affiliated Hospital in Romania

Golli¹,

Niţu²,

Bălăşoiu³

et al. 2019

Rev. Chim.

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“…Similarly, high counts were seen for Bucharest-Ilfov and North West with lung cancer predictions. Despite several indications that the incidence of lung cancer would continue to rise in Romania [63,64], we observed a decline in hospitalization episodes. This might be due to nationally instituted antitobacco policies [63].…”

Section: Discussioncontrasting

confidence: 91%

Time Series Analysis and Forecasting with Automated Machine Learning on a National ICD-10 Database

Olsavszky

Dosius

Vlădescu

et al. 2020

IJERPH

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The application of machine learning (ML) for use in generating insights and making predictions on new records continues to expand within the medical community. Despite this progress to date, the application of time series analysis has remained underexplored due to complexity of the underlying techniques. In this study, we have deployed a novel ML, called automated time series (AutoTS) machine learning, to automate data processing and the application of a multitude of models to assess which best forecasts future values. This rapid experimentation allows for and enables the selection of the most accurate model in order to perform time series predictions. By using the nation-wide ICD-10 (International Classification of Diseases, Tenth Revision) dataset of hospitalized patients of Romania, we have generated time series datasets over the period of 2008–2018 and performed highly accurate AutoTS predictions for the ten deadliest diseases. Forecast results for the years 2019 and 2020 were generated on a NUTS 2 (Nomenclature of Territorial Units for Statistics) regional level. This is the first study to our knowledge to perform time series forecasting of multiple diseases at a regional level using automated time series machine learning on a national ICD-10 dataset. The deployment of AutoTS technology can help decision makers in implementing targeted national health policies more efficiently.

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“…Smoking is a chronic disease, most of the time originate in adolescence and it causes more than 6 million deaths annually worldwide [1,2]. Mortality caused by smoking implies various pathological conditions [3][4][5][6][7][8][9], especially neoplasia (bronchopulmonary cancer in particular) [10,11], cardiovascular diseases, obstructive lung diseases and psychiatric diseases.…”

mentioning

confidence: 99%

Nicotine Addiction : Objective in Educational Programs for Smoking Prevention in Young People

Budin¹,

Alexescu²,

Bordea³

et al. 2019

Rev. Chim.

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In those countries where education and smoking prevention campaigns are carried out at school level, there has been a decline in the prevalence of smoking among pupils. Nicotine addiction represents a sum of pharmacological, electrophysiological and molecular genetic mechanisms and behavior patterns. The study was conducted from December 2016, to July 2017 and it consisted in an online survey posted on a website. The participants accessed the survey through an e mail link. The study population consisted of 1144 teachers (from primary school, gymnasium and college). The declared percentage of daily smokers was 14%, below the European average, while 20.5% were declared ex-smokers, 11.2% were occasional smokers and 54.4% never smoked. The theme of smoking was approached by 79.2% of teachers during conducting classes and 81.6% of them advised smokers to stop smoking. Teachers can influence the pupils� behavior by personal example and by teaching, inside and outside the school, thus preventing nicotine addiction. Decreasing the prevalence of smoking among teachers will inevitably lead in the future to a decrease of adolescent smokers� incidence. Our study was a pilot project that can draw important directions in educational and preventive campaigns in schools.

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Recent trends of cancer mortality in Romanian adults

Cited by 9 publications

References 16 publications

The Characterization of Antibiotic Resistance of Bacterial Isolates from Intensive Care Unit Patient Samples in a University Affiliated Hospital in Romania

The Characterization of Antibiotic Resistance of Bacterial Isolates from Intensive Care Unit Patient Samples in a University Affiliated Hospital in Romania

Time Series Analysis and Forecasting with Automated Machine Learning on a National ICD-10 Database

Nicotine Addiction : Objective in Educational Programs for Smoking Prevention in Young People

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