Publications by authors named "M Siljander"
Article Synopsis
- The study analyzed the outcomes of total knee arthroplasties (TKAs) in patients with a history of poliomyelitis by comparing affected and unaffected limbs, drawing from a sample of 94 patients with 116 primary TKAs performed over nearly two decades.
- It found that the ten-year survivorship rate for revisions was 91% for affected limbs and 84% for unaffected limbs, with specific complications like periprosthetic fractures and infections being notable in both groups.
- The research concluded that TKAs in post-polio patients are challenging due to high rates of instability and complications like arthrofibrosis, with one in four affected limbs requiring additional support or constraints.
Background: Functional antibiotic hip spacers for treatment of periprosthetic joint infection may be retained in patients deemed too sick for reimplantation, or who elect to forego additional surgery. Our aim was to characterize reoperations, modes of failure, and function outcomes in patients who have retained hip spacers.
Methods: We performed a retrospective review of 43 hips that underwent placement of an articulating hip spacer between January 1, 2014 and November 30, 2021.
The largest actively cycling terrestrial carbon pool, soil, has been disturbed during latest centuries by human actions through reduction of woody land cover. Soil organic carbon (SOC) content can reliably be estimated in laboratory conditions, but more cost-efficient and mobile techniques are needed for large-scale monitoring of SOC e.g.
View Article and Find Full Text PDFBackground: Ticks are responsible for transmitting several notable pathogens worldwide. Finland lies in a zone where two human-biting tick species co-occur: Ixodes ricinus and Ixodes persulcatus. Tick densities have increased in boreal regions worldwide during past decades, and tick-borne pathogens have been identified as one of the major threats to public health in the face of climate change.
View Article and Find Full Text PDFThis study aims to elucidate the variations in spatiotemporal patterns and sociodemographic determinants of SARS-CoV-2 infections in Helsinki, Finland. Global and local spatial autocorrelation were inspected with Moran's I and LISA statistics, and Getis-Ord Gi* statistics was used to identify the hot spot areas. Space-time statistics were used to detect clusters of high relative risk and regression models were implemented to explain sociodemographic determinants for the clusters.
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