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Sökning: WFRF:(Mazzola Paolo)

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1.
  • Henein, Michael Y., et al. (författare)
  • Biomarkers predict in-hospital major adverse cardiac events in covid-19 patients : A multicenter international study
  • 2021
  • Ingår i: Journal of Clinical Medicine. - : MDPI. - 2077-0383. ; 10:24
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: The COVID-19 pandemic carries a high burden of morbidity and mortality worldwide. We aimed to identify possible predictors of in-hospital major cardiovascular (CV) events in COVID-19.Methods: We retrospectively included patients hospitalized for COVID-19 from 10 centers. Clinical, biochemical, electrocardiographic, and imaging data at admission and medications were collected. Primary endpoint was a composite of in-hospital CV death, acute heart failure (AHF), acute myocarditis, arrhythmias, acute coronary syndromes (ACS), cardiocirculatory arrest, and pulmonary embolism (PE).Results: Of the 748 patients included, 141(19%) reached the set endpoint: 49 (7%) CV death, 15 (2%) acute myocarditis, 32 (4%) sustained-supraventricular or ventricular arrhythmias, 14 (2%) cardiocirculatory arrest, 8 (1%) ACS, 41 (5%) AHF, and 39 (5%) PE. Patients with CV events had higher age, body temperature, creatinine, high-sensitivity troponin, white blood cells, and platelet counts at admission and were more likely to have systemic hypertension, renal failure (creatinine ≥ 1.25 mg/dL), chronic obstructive pulmonary disease, atrial fibrillation, and cardiomyopathy. On univariate and multivariate analysis, troponin and renal failure were associated with the composite endpoint. Kaplan–Meier analysis showed a clear divergence of in-hospital composite event-free survival stratified according to median troponin value and the presence of renal failure (Log rank p < 0.001).Conclusions: Our findings, derived from a multicenter data collection study, suggest the routine use of biomarkers, such as cardiac troponin and serum creatinine, for in-hospital prediction of CV events in patients with COVID-19.
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2.
  • Bellelli, Giuseppe, et al. (författare)
  • Duration of Postoperative Delirium Is an Independent Predictor of 6-Month Mortality in Older Adults After Hip Fracture
  • 2014
  • Ingår i: Journal of The American Geriatrics Society. - : Wiley. - 0002-8614 .- 1532-5415. ; 62:7, s. 1335-1340
  • Tidskriftsartikel (refereegranskat)abstract
    • OBJECTIVES: To evaluate the association between number of days with delirium and 6-month mortality in elderly adults after hip fracture surgery. DESIGN: Prospective cohort study with 6-month follow-up. SETTING: Orthogeriatric Unit (OGU). PARTICIPANTS: Individuals (mean age = 84.3 +/- 6.4) admitted to the OGU between October 2011 and April 2013 with hip fracture (N = 199). MEASUREMENTS: Postoperative delirium (POD) was assessed daily using the Confusion Assessment Method algorithm and the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision, criteria. Multivariable Cox regression models were used to evaluate the association between POD of and 6-month mortality after surgery, after adjustment for covariates including age, prefracture residence, Katz activity of daily living score, New Mobility score, diagnosis of prefracture dementia, American Society of Anesthesiologists score, albumin serum levels, Charlson Comorbidity Index, and length of OGU stay. RESULTS: Fifty-seven participants (28.6%) developed POD. In the 6-month period after surgery, 35 (17.6%) participants died: 16 of 57 (28.1%) with POD and 19 / of 142 (13.4%) with no POD. The average duration of POD was 2.0 +/- 3.2 days for participants who died and 0.7 +/- 1.8 days for those who survived (P < .001). After adjusting for covariates, each day of POD in the OGU increased the hazard of dying at 6 months by 17% (hazard ratio = 1.17, 95% confidence interval = 1.07-1.28). CONCLUSION: In older adults undergoing hip fracture surgery, duration of POD is an important prognostic factor for 6-month mortality. Efforts to reduce duration of POD are therefore crucial for these individuals.
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3.
  • Menkveld, Albert J., et al. (författare)
  • Nonstandard Errors
  • 2024
  • Ingår i: JOURNAL OF FINANCE. - : Wiley-Blackwell. - 0022-1082 .- 1540-6261. ; 79:3, s. 2339-2390
  • Tidskriftsartikel (refereegranskat)abstract
    • In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the uncertainty in estimates of population parameters. In science, evidence is generated to test hypotheses in an evidence-generating process (EGP). We claim that EGP variation across researchers adds uncertainty-nonstandard errors (NSEs). We study NSEs by letting 164 teams test the same hypotheses on the same data. NSEs turn out to be sizable, but smaller for more reproducible or higher rated research. Adding peer-review stages reduces NSEs. We further find that this type of uncertainty is underestimated by participants.
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