Pneumonia is one of the most common complications of stroke with significant impact on patients’ outcome. The aim of this study is to look for the predictors of stroke-associated pneumonia (SAP) and its 30-day mortality and to analyse the survival of ischaemic stroke patients with pneumonia. Methodology: This is a prospective observational study, involving all acute first time ischaemic stroke patients admitted to a tertiary hospital that fulfilled the inclusion and exclusion criteria over a 6-month period. Demographic data were obtained on admission. Patients were reassessed for SAP, on day 5 and day 30. Assessment was done using the National Institutes of Health Stroke Scale (NIHSS) score, Barthel index and modified Rankin scale (MRS). All patients with pneumonia were assessed with the pneumonia severity index (PSI) for SAP. Results: One hundred and twenty patients were enrolled consecutively within the 6-month study period. 15.8% developed SAP. Independent predictors of SAP were clinical dysphagia (OR 76.32; 95%CI 4.46 to 1307.05), random blood glucose (RBS) on admission (OR 1.34; 95%CI 1.06 to 1.68) and NIHSS score on admission (OR 1.15; 95%CI 1.02 to 1.30). Independent predictors for 30-day mortality were NIHSS score on day 5 (OR 1.20; 95%CI 1.08 to 1.33) and occurrence of pneumonia (OR 14.90; 95% CI 3.34 to 66.42). There was a significant difference in mean survival between SAP and non-SAP patients. Conclusions: Clinical dysphagia, RBS on admission and NIHSS score on admission were independent predictors of SAP. NIHSS score on day 5 and pneumonia were independent predictors of 30-day mortality. SAP patients had shorter survival
time compared to non-SAP patients.
Reliable maps of species distributions are fundamental for biodiversity research and conservation. The International Union for Conservation of Nature (IUCN) range maps are widely recognized as authoritative representations of species' geographic limits, yet they might not always align with actual occurrence data. In recent area of habitat (AOH) maps, areas that are not habitat have been removed from IUCN ranges to reduce commission errors, but their concordance with actual species occurrence also remains untested. We tested concordance between occurrences recorded in camera trap surveys and predicted occurrences from the IUCN and AOH maps for 510 medium- to large-bodied mammalian species in 80 camera trap sampling areas. Across all areas, cameras detected only 39% of species expected to occur based on IUCN ranges and AOH maps; 85% of the IUCN only mismatches occurred within 200 km of range edges. Only 4% of species occurrences were detected by cameras outside IUCN ranges. The probability of mismatches between cameras and the IUCN range was significantly higher for smaller-bodied mammals and habitat specialists in the Neotropics and Indomalaya and in areas with shorter canopy forests. Our findings suggest that range and AOH maps rarely underrepresent areas where species occur, but they may more often overrepresent ranges by including areas where a species may be absent, particularly at range edges. We suggest that combining range maps with data from ground-based biodiversity sensors, such as camera traps, provides a richer knowledge base for conservation mapping and planning.