6 research outputs found

    morphology

    Get PDF
    We present a cladistic analysis of all the species of Smallanthus. Six taxa within Rumfordia, Ichthyothere, Acanthospermum and Tridax served as outgroups. We evaluated the monophyly and the relationships between the species of Smallanthus through a maximum parsimony study based on morphological data. The matrix included 31 qualitative characters from floral and vegetative parts of the specimens. We also explored the phylogenetic significance of treating quantitative characters as continuous. Only one most parsimonious tree was obtained. In agreement with previous phylogenetic studies based on molecular data, we recovered a monophyletic Smallanthus. The presence of ray corollas, densely pubescent at the base, was the synapomorphy that defined Smallanthus. Smallanthus microcephalus and two other major clades were recovered. The first clade included S. glabratus, S. fruticosus, S. jelskii and S. pyramidalis, while the second one contained the remaining species of Smallanthus. The analysis recovered one species of Rumfordia as sister to Smallanthus. We present a new combination, Smallanthus cocuyensis, based on morphological analysis of the type specimen

    Sinonimias en el g\ue9nero Chaptalia (Asteraceae), con una clave actualizada de las especies argentinas

    Get PDF
    Synonymy in the genus Chaptalia (Asteraceae), with an updated key to the Argentinianspecies. The synonymy among Chaptalia graminifolia, C. mandonii, C. piloselloides, and C. runcinata is established under the name C. piloselloides. A re-description, illustration, and distribution map of C. piloselloides together with a key to the Argentinian species of Chaptalia are presented.Se establece la sinonimia entre las especies Chaptalia graminifolia, C. mandonii, C.piloselloides y C. runcinata, bajo el nombre de C. piloselloides. Se presenta una re-descripciĂłn de C.piloselloides con ilustraciĂłn y mapa de distribuciĂłn de la especie y una clave actualizada de las especies argentinas de Chaptalia

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

    No full text
    Objectives: Few studies have analyzed factors associated with delirium subtypes. In this study, we investigate factors associated with subtypes of delirium only in patients with dementia to provide insights on the possible prevention and treatments. Design: This is a cross-sectional study nested in the “Delirium Day” study, a nationwide Italian point-prevalence study. Setting and Participants: Older patients admitted to 205 acute and 92 rehabilitation hospital wards. Measures: Delirium was evaluated with the 4-AT and the motor subtypes with the Delirium Motor Subtype Scale. Dementia was defined by the presence of a documented diagnosis in the medical records and/or prescription of acetylcholinesterase inhibitors or memantine prior to admission. Results: Of the 1057 patients with dementia, 35% had delirium, with 25.6% hyperactive, 33.1% hypoactive, 34.5% mixed, and 6.7% nonmotor subtype. There were higher odds of having venous catheters in the hypoactive (OR 1.82, 95% CI 1.18-2.81) and mixed type of delirium (OR 2.23, CI 1.43-3.46), whereas higher odds of urinary catheters in the hypoactive (OR 2.91, CI 1.92-4.39), hyperactive (OR 1.99, CI 1.23-3.21), and mixed types of delirium (OR 2.05, CI 1.36-3.07). We found higher odds of antipsychotics both in the hyperactive (OR 2.87, CI 1.81-4.54) and mixed subtype (OR 1.84, CI 1.24-2.75), whereas higher odds of antibiotics was present only in the mixed subtype (OR 1.91, CI 1.26-2.87). Conclusions and Implications: In patients with dementia, the mixed delirium subtype is the most prevalent followed by the hypoactive, hyperactive, and nonmotor subtype. Motor subtypes of delirium may be triggered by clinical factors, including the use of venous and urinary catheters, and the use of antipsychotics. Future studies are necessary to provide further insights on the possible pathophysiology of delirium in patients with dementia and to address the optimization of the management of potential risk factors
    corecore