Publications by authors named "Maya Landenhed-Smith"

Aims: Early identification of patients with increased bleeding risk increases the possibility to individualize antithrombotic treatment. We validated the PRECISE-DAPT score, originally developed to estimate bleeding risk in patients on dual antiplatelet therapy (DAPT) after percutaneous coronary intervention (PCI), in coronary artery bypass grafting (CABG) patients.

Methods And Results: All patients who underwent first time, isolated CABG in Sweden 2009-2020 and survived until discharge were included.

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Objective: Previous studies indicate an increased long-term risk for incident cancer and cancer-specific mortality in patients undergoing cardiac surgery. We compared the risk for incident cancer and cancer-specific mortality between patients and matched control subjects from the general population.

Methods: All patients (n = 127,119) undergoing first-time coronary artery or heart valve surgery in Sweden during 1997-2020 were included in a population-based observational cohort study based on individual data from the SWEDEHEART registry and 4 other mandatory national registries.

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Plasma metabolomics holds potential for precision medicine, but limited information is available to compare the performance of such methods across multiple cohorts. We compared plasma metabolite profiles after an overnight fast in 11,309 participants of five population-based Swedish cohorts (50-80 years, 52% women). Metabolite profiles were uniformly generated at a core laboratory (Metabolon Inc.

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Objectives: The aim of this study was to evaluate the association between statin use after surgical aortic valve replacement for aortic stenosis and long-term risk for major adverse cardiovascular events (MACEs) in a large population-based, nationwide cohort.

Methods: All patients who underwent isolated surgical aortic valve replacement due to aortic stenosis in Sweden 2006-2020 and survived 6 months after discharge were included. Individual patient data from 5 nationwide registries were merged.

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Background: Global transcriptional profiling of individual cells represents a powerful approach to systematically survey contributions from cell-specific molecular phenotypes to human disease states but requires tissue-specific protocols. Here we sought to comprehensively evaluate protocols for single cell isolation and transcriptional profiling from heart tissue, focusing particularly on frozen tissue which is necessary for study of human hearts at scale.

Methods And Results: Using flow cytometry and high-content screening, we found that enzymatic dissociation of fresh murine heart tissue resulted in a sufficient yield of intact cells while for frozen murine or human heart resulted in low-quality cell suspensions across a range of protocols.

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Heart failure (HF) is a major public health problem characterized by inability of the heart to maintain sufficient output of blood. The systematic characterization of circulating proteins across different stages of HF may provide pathophysiological insights and identify therapeutic targets. Here we report application of aptamer-based proteomics to identify proteins associated with prospective HF incidence in a population-based cohort, implicating modulation of immunological, complement, coagulation, natriuretic and matrix remodeling pathways up to two decades prior to overt disease onset.

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Background: Whole-genome sequencing (WGS) of heart transplant recipient- and donor-derived cardiac biopsies may facilitate organ matching, graft failure prediction, and immunotolerance research. The objective of this study was to determine the feasibility of WGS based on formalin-fixed paraffin-embedded endomyocardial biopsies.

Methods And Results: The study included serial donor- and recipient samples from patients who had undergone heart transplantation at Skane University Hospital, Lund, Sweden, between 1988 and 2009.

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Background: Circulating biomarkers can facilitate diagnosis and risk stratification for complex conditions such as heart failure (HF). Newer molecular platforms can accelerate biomarker discovery, but they require significant resources for data and sample acquisition.

Objectives: The purpose of this study was to test a pragmatic biomarker discovery strategy integrating automated clinical biobanking with proteomics.

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