18 research outputs found
Simulazione di colate laviche per la valutazione della pericolosità vulcanica del Monte Etna
No full textA lava flow simulation model for the development of volcanic hazard maps for Mount Etna (Italy)
No full textVolcanic hazard assessment is of paramount importance for the safeguard of the resources exposed to volcanic hazards. In the paper we present ELFM, a lava flow simulation model for the evaluation of the lava flow hazard on Mount Etna (Sicily, Italy), the most important active volcano in Europe. The major contributions of the paper are: (a) a detailed specification of the lava flow simulation model and the specification of an algorithm implementing it; (b) the definition of a methodological framework for applying the model to the specific volcano
A GIS-based approach to lava-flow simulation for volcanic hazard assessment on Mount Etna (Italy)
No full textManagement of Posterior Reversible Syndrome in Preeclamptic Women
No full textPosterior reversible encephalopathy syndrome (PRES) is a neurological syndrome associated with a number of conditions including preeclampsia. It is characterized by seizures, alteration of consciousness, visual disturbances, and symmetric white matter abnormalities, typically in the posterior parietooccipital regions of the cerebral hemispheres, at computed tomography (CT) and magnetic resonance (MRI). We report three new cases of PRES in preeclamptic patients and describe the management of these patients. We present a brief review of other cases in the literature, with particular attention to the anesthetic management
Discussion of “Petrography and geochemistry of granitoid pebbles from the Oligocene-Miocene deposits of the internal Rifian Chain (Morocco): a possible new hypothesis of provenance and paleogeographic implications” by L.G. Gigliuto, A. Ouazani-Touhami, D. Puglisi, G. Puglisi & M.N. Zaghloul.
No full textMicro-Bubbles Oxygen Injection in Groundwater Contaminated by Organic Biodegradable Compounds and Metals
No full textMorphological analysis of Nevado de Toluca volcano (Mexico): new insights into the structure and evolution of an andesitic to dacitic stratovolcano
No full textWe present a morphological analysis of Nevado de Toluca volcano located 80 km WSW of Mexico City based on digital
elevation model study, where slope and aspect maps have been generated and analysed. Aerial photograph and satellite image
observations improve the morphological analysis. The synoptic view which is offered by this analysis allowed for recognition
and localization of the main volcanic and tectonic features of the area. On the basis of digital elevation model value distribution
and surface textures, five morphological domains were defined. The most interesting domain, south of the crater, reflects the
occurrence of an ancient complex volcano distinct from the adjacent areas. Interaction between the volcanic and volcano–
tectonic evolution and the basement produced the other domains. Single volcanic edifices, like lava domes and scoria cones, and
eruptive fractures were recognized. Finally, flank collapse scarps opened to the east and to the north were identified and four
relevant morphostructural lineaments and their possible role in the Nevado de Toluca geological and structural evolution are
discussed.CONACYT J37889-TPublished47–613.5. Geologia e storia dei sistemi vulcaniciJCR Journalreserve
a prospective cohort study
No full textFunding Information: The members of VIP1 and VIP2 study groups are listed in Additional file 1 and are listed in their individual PubMed records. Publisher Copyright: © 2021, The Author(s). Copyright: Copyright 2021 Elsevier B.V., All rights reserved.Background: The Clinical Frailty Scale (CFS) is frequently used to measure frailty in critically ill adults. There is wide variation in the approach to analysing the relationship between the CFS score and mortality after admission to the ICU. This study aimed to evaluate the influence of modelling approach on the association between the CFS score and short-term mortality and quantify the prognostic value of frailty in this context. Methods: We analysed data from two multicentre prospective cohort studies which enrolled intensive care unit patients ≥ 80 years old in 26 countries. The primary outcome was mortality within 30-days from admission to the ICU. Logistic regression models for both ICU and 30-day mortality included the CFS score as either a categorical, continuous or dichotomous variable and were adjusted for patient’s age, sex, reason for admission to the ICU, and admission Sequential Organ Failure Assessment score. Results: The median age in the sample of 7487 consecutive patients was 84 years (IQR 81–87). The highest fraction of new prognostic information from frailty in the context of 30-day mortality was observed when the CFS score was treated as either a categorical variable using all original levels of frailty or a nonlinear continuous variable and was equal to 9% using these modelling approaches (p < 0.001). The relationship between the CFS score and mortality was nonlinear (p < 0.01). Conclusion: Knowledge about a patient’s frailty status adds a substantial amount of new prognostic information at the moment of admission to the ICU. Arbitrary simplification of the CFS score into fewer groups than originally intended leads to a loss of information and should be avoided. Trial registration NCT03134807 (VIP1), NCT03370692 (VIP2)publishersversionpublishe
Cumulative prognostic score predicting mortality in patients older than 80 years admitted to the ICU
No full textOBJECTIVES: To develop a scoring system model that predicts mortality within 30 days of admission of patients older than 80 years admitted to intensive care units (ICUs). DESIGN Prospective cohort study.
SETTING: A total of 306 ICUs from 24 European countries.
PARTICIPANTS: Older adults admitted to European ICUs (N = 3730; median age = 84 years [interquartile range = 81-87 y]; 51.8% male).
MEASUREMENTS: Overall, 24 variables available during ICU admission were included as potential predictive variables. Multivariable logistic regression was used to identify independent predictors of 30-day mortality. Model sensitivity, specificity, and accuracy were evaluated with receiver operating characteristic curves.
RESULTS: The 30-day-mortality was 1562 (41.9%). In multivariable analysis, these variables were selected as independent predictors of mortality: age, sex, ICU admission diagnosis, Clinical Frailty Scale, Sequential Organ Failure Score, invasive mechanical ventilation, and renal replacement therapy. The discrimination, accuracy, and calibration of the model were good: the area under the curve for a score of 10 or higher was .80, and the Brier score was .18. At a cut point of 10 or higher (75% of all patients), the model predicts 30-day mortality in 91.1% of all patients who die.
CONCLUSION: A predictive model of cumulative events predicts 30-day mortality in patients older than 80 years admitted to ICUs. Future studies should include other potential predictor variables including functional status, presence of advance care plans, and assessment of each patient's decision-making capacity
Correction to: Withholding or withdrawing of life-sustaining therapy in older adults (≥ 80 years) admitted to the intensive care unit (Intensive Care Medicine, (2018), 44, 7, (1027-1038), 10.1007/s00134-018-5196-7)
No full textIn the original publication Dr Patrick Meybohm of the Department of Anaesthesiology, Intensive Care Medicine and Pain Therapy, Frankfurt University Hospital, Frankfurt, Germany was inadvertently omitted from the list of investigators
