Publications by authors named "T Love"

Monoclonal gammopathy of undetermined significance (MGUS) is the asymptomatic precursor of multiple myeloma and related diseases but has also been associated with thrombosis. Prior studies have not been based on screened cohorts leading to bias. We assessed the risk of thrombosis in a cohort of 75 422 individuals over 40 years old who were screened for MGUS in Iceland.

View Article and Find Full Text PDF

Background: Asthma, affecting approximately 13% of pregnancies worldwide, and gestational diabetes mellitus (GDM), present in about 14%, are both associated with adverse maternal and perinatal outcomes. This study aims to address a lack of current knowledge about how GDM affects asthma during pregnancy.

Objective: To determine whether GDM is associated with an increased risk of asthma exacerbations during pregnancy and the first year postpartum.

View Article and Find Full Text PDF

Hypercalcemia in monoclonal gammopathy of undetermined significance (MGUS) presents a clinical challenge since it may indicate progression to multiple myeloma (MM) but could also be due to a multitude of unrelated disorders. To inform the approach to this clinical challenge, we conducted a nested cohort study within the iStopMM screening study. Of the 75,422 Icelanders aged 40 years and above who underwent screening for MGUS, we included 2,546 with MGUS who were in active follow-up, including regular serum calcium measurements.

View Article and Find Full Text PDF

Light-chain (LC) monoclonal gammopathy of undetermined significance (MGUS) is a precursor of multiple myeloma (MM) and related conditions. LC-MGUS is characterized by free light-chain (FLC) levels outside defined reference intervals, indirectly indicating underlying plasma cell (PC) monoclonality. Next-generation flow cytometry (NGF) was used to evaluate clonal PC presence in bone marrow (BM) samples from individuals with LC-MGUS in the iStopMM study, aiming to assess the predictive value of the FLC ratio for clonal PC presence and its prognostic implications.

View Article and Find Full Text PDF

Fecal contamination of surface waters presents significant human health and environmental risks. While many methods for understanding fecal contamination cannot differentiate between human and animal sources, microbial source tracking (MST) marker methods are used to identify fecal sources. To understand how to best employ MST marker data for managing fecal contamination risks, the present study compiled previously collected MST marker data ( = 12,878 samples) from across North America; each sample in the data set had been tested for fecal contamination from one or more of five sources (avian, canine, human, ruminant, swine).

View Article and Find Full Text PDF