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Träfflista för sökning "AMNE:(MEDICIN OCH HÄLSOVETENSKAP Klinisk medicin Kardiologi) ;pers:(Erlinge D)"

Sökning: AMNE:(MEDICIN OCH HÄLSOVETENSKAP Klinisk medicin Kardiologi) > Erlinge D

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1.
  • Edfors, R., et al. (författare)
  • Use of proteomics to identify biomarkers associated with chronic kidney disease and long-term outcomes in patients with myocardial infarction
  • 2020
  • Ingår i: Journal of Internal Medicine. - : Wiley. - 0954-6820 .- 1365-2796. ; 288:5, s. 581-592
  • Tidskriftsartikel (refereegranskat)abstract
    • Background Patients with chronic kidney disease (CKD) have poor outcomes following myocardial infarction (MI). We performed an untargeted examination of 175 biomarkers to identify those with the strongest association with CKD and to examine the association of those biomarkers with long-term outcomes. Methods A total of 175 different biomarkers from MI patients enrolled in the Swedish Web-System for Enhancement and Development of Evidence-Based Care in Heart Disease Evaluated According to Recommended Therapies (SWEDEHEART) registry were analysed either by a multiple reaction monitoring mass spectrometry assay or by a multiplex assay (proximity extension assay). Random forests statistical models were used to assess the predictor importance of biomarkers, CKD and outcomes. Results A total of 1098 MI patients with a median estimated glomerular filtration rate of 85 mL min(-1)/1.73 m(2)were followed for a median of 3.2 years. The random forests analyses, without and with adjustment for differences in demography, comorbidities and severity of disease, identified six biomarkers (adrenomedullin, TNF receptor-1, adipocyte fatty acid-binding protein-4, TNF-related apoptosis-inducing ligand receptor 2, growth differentiation factor-15 and TNF receptor-2) to be strongly associated with CKD. All six biomarkers were also amongst the 15 strongest predictors for death, and four of them were amongst the strongest predictors of subsequent MI and heart failure hospitalization. Conclusion In patients with MI, a proteomic approach could identify six biomarkers that best predicted CKD. These biomarkers were also amongst the most important predictors of long-term outcomes. Thus, these biomarkers indicate underlying mechanisms that may contribute to the poor prognosis seen in patients with MI and CKD.
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  • Mohammad, M. A., et al. (författare)
  • The association of mode of location activity and mobility with acute coronary syndrome : nationwide ecological study
  • 2021
  • Ingår i: Journal of Internal Medicine. - : Blackwell Science Ltd.. - 0954-6820 .- 1365-2796. ; 289:2, s. 247-254
  • Tidskriftsartikel (refereegranskat)abstract
    • BACKGROUND: We aimed to study the effect of social containment mandates on ACS presentation during COVID-19 pandemic using location activity and mobility data from mobile phone map services.METHODS: We conducted a cross-sectional study using data from the Swedish Coronary Angiography and Angioplasty Registry (SCAAR) including all ACS presentations during the pandemic until May 07, 2020. Using a count regression model, we adjusted for day of the week, daily weather, and incidence of COVID-19.RESULTS: A 10% increase in activity around areas of residence was associated with 38% lower rates of ACS hospitalisations whereas increased activity relating to retail and recreation, grocery stores and pharmacies, workplaces as well as mode of mobility was associated with 10-20% higher rates of ACS hospitalisations.CONCLUSION: Government policy regarding social containment mandates has important public health implications for medical emergencies like ACS and may explain the decline in ACS presentations observed during COVID-19 pandemic.
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