Elevated micronucleus frequencies in patients with pleural plaque secondary to environmental exposure to asbestos

We examined genotoxic damage and frequency of micronuclei in people living in the Bekilli and Suller districts of Denizli city who had been diagnosed with pleural plaques as a result of environmental exposure to asbestos. Peripheral blood samples were obtained from 30 volunteer patients 59-86 years old who did not smoke or consume alcohol and who were diagnosed with calcified pleural plaques. We also examined 30 healthy controls with similar features, who also lived in downtown Denizli. Micronucleus frequencies, nuclear division index, and mitotic index were determined. Micronucleus frequency, nuclear division index, and mitotic index were significantly higher in patients who had been exposed to asbestos than in the controls. We conclude that asbestos had a genotoxic effect, resulting in an increase in micronucleus frequency and other changes in patients diagnosed with pleural plaques secondary to asbestos exposure. © FUNPEC-RP

Mining geriatric assessment data for in-patient fall prediction models and high-risk subgroups

<p>Abstract</p> <p>Background</p> <p>Hospital in-patient falls constitute a prominent problem in terms of costs and consequences. Geriatric institutions are most often affected, and common screening tools cannot predict in-patient falls consistently. Our objectives are to derive comprehensible fall risk classification models from a large data set of geriatric in-patients' assessment data and to evaluate their predictive performance (aim#1), and to identify high-risk subgroups from the data (aim#2).</p> <p>Methods</p> <p>A data set of n = 5,176 single in-patient episodes covering 1.5 years of admissions to a geriatric hospital were extracted from the hospital's data base and matched with fall incident reports (n = 493). A classification tree model was induced using the C4.5 algorithm as well as a logistic regression model, and their predictive performance was evaluated. Furthermore, high-risk subgroups were identified from extracted classification rules with a support of more than 100 instances.</p> <p>Results</p> <p>The classification tree model showed an overall classification accuracy of 66%, with a sensitivity of 55.4%, a specificity of 67.1%, positive and negative predictive values of 15% resp. 93.5%. Five high-risk groups were identified, defined by high age, low Barthel index, cognitive impairment, multi-medication and co-morbidity.</p> <p>Conclusions</p> <p>Our results show that a little more than half of the fallers may be identified correctly by our model, but the positive predictive value is too low to be applicable. Non-fallers, on the other hand, may be sorted out with the model quite well. The high-risk subgroups and the risk factors identified (age, low ADL score, cognitive impairment, institutionalization, polypharmacy and co-morbidity) reflect domain knowledge and may be used to screen certain subgroups of patients with a high risk of falling. Classification models derived from a large data set using data mining methods can compete with current dedicated fall risk screening tools, yet lack diagnostic precision. High-risk subgroups may be identified automatically from existing geriatric assessment data, especially when combined with domain knowledge in a hybrid classification model. Further work is necessary to validate our approach in a controlled prospective setting.</p

Elevated micronucleus frequencies in patients with pleural plaque secondary to environmental exposure to asbestos.

We examined genotoxic damage and frequency of micronuclei in people living in the Bekilli and Suller districts of Denizli city who had been diagnosed with pleural plaques as a result of environmental exposure to asbestos. Peripheral blood samples were obtained from 30 volunteer patients 59-86 years old who did not smoke or consume alcohol and who were diagnosed with calcified pleural plaques. We also examined 30 healthy controls with similar features, who also lived in downtown Denizli. Micronucleus frequencies, nuclear division index, and mitotic index were determined. Micronucleus frequency, nuclear division index, and mitotic index were significantly higher in patients who had been exposed to asbestos than in the controls. We conclude that asbestos had a genotoxic effect, resulting in an increase in micronucleus frequency and other changes in patients diagnosed with pleural plaques secondary to asbestos exposure

Elevated micronucleus frequencies in patients with pleural plaque secondary to environmental exposure to asbestos

ABSTRACT. We examined genotoxic damage and frequency of micronuclei in people living in the Bekilli and Suller districts of Denizli city who had been diagnosed with pleural plaques as a result of environmental exposure to asbestos. Peripheral blood samples were obtained from 30 volunteer patients 59-86 years old who did not smoke or consume alcohol and who were diagnosed with calcified pleural plaques. We also examined 30 healthy controls with similar features, who also lived in downtown Denizli. Micronucleus frequencies, nuclear division index, and mitotic index were determined. Micronucleus frequency, nuclear division index, and mitotic index were significantly higher in patients who had been exposed to asbestos than in the controls. We conclude that asbestos had a genotoxic effect, resulting in an increase in micronucleus frequency and other changes in patients diagnosed with pleural plaques secondary to asbestos exposure