59 research outputs found

    Nomogram predicting response after chemoradiotherapy in rectal cancer using sequential PETCT imaging: a multicentric prospective study with external validation.

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    Abstract Purpose To develop and externally validate a predictive model for pathologic complete response (pCR) for locally advanced rectal cancer (LARC) based on clinical features and early sequential 18 F-FDG PETCT imaging. Materials and methods Prospective data (i.a. THUNDER trial) were used to train ( N =112, MAASTRO Clinic) and validate ( N =78, Universita Cattolica del S. Cuore) the model for pCR (ypT0N0). All patients received long-course chemoradiotherapy (CRT) and surgery. Clinical parameters were age, gender, clinical tumour (cT) stage and clinical nodal (cN) stage. PET parameters were SUV max , SUV mean , metabolic tumour volume (MTV) and maximal tumour diameter, for which response indices between pre-treatment and intermediate scan were calculated. Using multivariate logistic regression, three probability groups for pCR were defined. Results The pCR rates were 21.4% (training) and 23.1% (validation). The selected predictive features for pCR were cT-stage, cN-stage, response index of SUV mean and maximal tumour diameter during treatment. The models' performances (AUC) were 0.78 (training) and 0.70 (validation). The high probability group for pCR resulted in 100% correct predictions for training and 67% for validation. The model is available on the website www.predictcancer.org. Conclusions The developed predictive model for pCR is accurate and externally validated. This model may assist in treatment decisions during CRT to select complete responders for a wait-and-see policy, good responders for extra RT boost and bad responders for additional chemotherapy

    Efficacy of a new technique - INtubate-RECruit-SURfactant-Extubate - "IN-REC-SUR-E" - in preterm neonates with respiratory distress syndrome: Study protocol for a randomized controlled trial

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    Background: Although beneficial in clinical practice, the INtubate-SURfactant-Extubate (IN-SUR-E) method is not successful in all preterm neonates with respiratory distress syndrome, with a reported failure rate ranging from 19 to 69 %. One of the possible mechanisms responsible for the unsuccessful IN-SUR-E method, requiring subsequent re-intubation and mechanical ventilation, is the inability of the preterm lung to achieve and maintain an "optimal" functional residual capacity. The importance of lung recruitment before surfactant administration has been demonstrated in animal studies showing that recruitment leads to a more homogeneous surfactant distribution within the lungs. Therefore, the aim of this study is to compare the application of a recruitment maneuver using the high-frequency oscillatory ventilation (HFOV) modality just before the surfactant administration followed by rapid extubation (INtubate-RECruit-SURfactant-Extubate: IN-REC-SUR-E) with IN-SUR-E alone in spontaneously breathing preterm infants requiring nasal continuous positive airway pressure (nCPAP) as initial respiratory support and reaching pre-defined CPAP failure criteria. Methods/design: In this study, 206 spontaneously breathing infants born at 24+0-27+6 weeks' gestation and failing nCPAP during the first 24 h of life, will be randomized to receive an HFOV recruitment maneuver (IN-REC-SUR-E) or no recruitment maneuver (IN-SUR-E) just prior to surfactant administration followed by prompt extubation. The primary outcome is the need for mechanical ventilation within the first 3 days of life. Infants in both groups will be considered to have reached the primary outcome when they are not extubated within 30 min after surfactant administration or when they meet the nCPAP failure criteria after extubation. Discussion: From all available data no definitive evidence exists about a positive effect of recruitment before surfactant instillation, but a rationale exists for testing the following hypothesis: a lung recruitment maneuver performed with a step-by-step Continuous Distending Pressure increase during High-Frequency Oscillatory Ventilation (and not with a sustained inflation) could have a positive effects in terms of improved surfactant distribution and consequent its major efficacy in preterm newborns with respiratory distress syndrome. This represents our challenge. Trial registration: ClinicalTrials.gov identifier: NCT02482766. Registered on 1 June 2015

    Understanding Factors Associated With Psychomotor Subtypes of Delirium in Older Inpatients With Dementia

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    SUPEROVULATION AND EMBRYO PRODUCTION IN EWES USING A COMMERCIAL p-FSH

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    The effectiveness of a commercial porcine pituitary extract (p-FSH) with a 1:1 FSH/LH ratio was assessed on ovarian response and embryo yield in ewes. During the breeding season, 60 Altamurana ewes were synchronized with FGA-impregnated intravaginal sponges and subdivided into four treatment groups (n=15). Beginning 24 h before sponge removal, ewes were treated with 250 (Group 1), 500 (Group 2), 750 (Group 3) or 1000 IU p-FSH (Group 3) administered in a series of four decreasing doses over a period of 36 h. The ewes were monitored for estrus every 4 h, with ovarian response and embryos evaluated on the seventh day following sponge removal. No differences were found among the treatments in incidence of estrus and ovulation. Although treatment with 250 IU p-FSH produced the fewest ovulations, animals in this group yielded a higher (P<0.01) number of viable embryos, a lower (P<0.01) number of unfertilized ova, and a lower (P<0.05) incidence of unovulated follicles and abnormal corpora lutea when compared with animals treated with 750 or 1000 IU p-FSH, while treatment with 500 IU p-FSH yielded intermediate results. It is concluded that the commercial porcine pituitary extract (Pluset) at moderate doses (250 IU) is suitable for superovulation in ewes as it induces a high ovulatory response and transferable embryo yield

    An open data index to assess the green transition - A study on all Italian municipalities

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    This study introduces a municipality transition index based on open data and green transition principles. The Municipality Transition Index provides data and a succinct measurement of municipal attributes as defined by green policies at national and local level. We identify four dimensions of interest and 18 key performance indicators, defined at municipality level, and measure factors that directly and indirectly influence the green transition, with a focus on the Green Deal vision embraced by the European Union. The robustness and meaningfulness of the index is tested on a dataset covering all 7904 Italian municipalities.Our results show that computation of the MTI on this sample produces a bell-shaped distribution, suggesting strong geographic disparities and a significant difference between cities, towns and rural areas. The results show the need for policies and tools tailored at municipal level and provide information for practitioners, policy makers and experts from academia, useful for designing tools to underpin investment planning in the framework of the recent National Recovery and Resilience Plan issued by the Italian government. This may be particularly useful for enhancing green-transition-enabling factors that may differ across regions, helping policymakers to promote a smooth and fair transition by monitoring the performance of municipalities as they address the challenge

    Prognostic value for mortality of the new FADOI-COMPLIMED score(s) in patients hospitalized in medical wards.

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    BackgroundRecently we defined a user-friendly tool (FADOI-COMPLIMED scores-FCS) to assess complexity of patients hospitalized in medical wards. FCS-1 is an average between the Barthel Index and the Exton-Smith score, while FCS-2 is obtained by using the Charlson score. The aim of this paper is to assess the ability of the FCS to predict mortality in-hospital and after 1-3-6-12-months. In this perspective, we performed comparisons with the validated Multidimensional Prognostic Index (MPI).MethodsIt is a multicenter, prospective observational study, enrolling patients aged over 40, suffering from at least two chronic diseases and consecutively admitted to Internal Medicine departments. For each patient, data from 13 questionnaires were collected. Survival follow-up was conducted at 1-3-6-12 months after discharge. The relationships between cumulative incidences of death with FCS were investigated with logistic regression analyses. ROC curve analyses were performed in order to compare the predictiveness of the logistic models based on FCS with respect to those with MPI taken as reference.ResultsA cohort of 541 patients was evaluated. A 10-point higher value for FCS-1 and FCS-2 leads to an increased risk of 1-year death equal to 25.0% and 27.1%, respectively. In case of in-hospital mortality, the relevant percentages were 63.1% and 15.3%. The logistic model based on FCS is significantly more predictive than the model based on MPI (which requires an almost doubled number of items) for all the time-points considered.ConclusionsAssessment of prognosis of patients has the potential to guide clinical decision-making and lead to better care. We propose a new, efficient and easy-to-use instrument based on FCS, which demonstrated a good predictive power for mortality in patients hospitalized in medical wards. This tool may be of interest for clinical practice, since it well balances feasibility (requiring the compilation of 34 items, taking around 10 minutes) and performance
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