Mostrando 87,701 - 87,720 Resultados de 89,050 Para Buscar '"Cox"', tiempo de consulta: 0.81s Limitar resultados
  1. 87701
  2. 87702
    “…The primary outcomes were all-cause mortality and cause-specific mortality in Chinese adults aged 30–79 years. We used a Cox proportional hazards model to estimate the associations between the frailty index and all-cause and cause-specific mortality, adjusting for chronological age, education, and lifestyle factors. …”
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  3. 87703
  4. 87704
    “…DESIGN, SETTING, AND PARTICIPANTS: This cohort study used VA data from 2008 to 2018 to estimate incidence rates of LEA among veterans using VA services. Cox regression models were used to identify risk factors associated with LEA. …”
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  5. 87705
    “…The primary endpoint was survival, and the secondary endpoint was a composite of death or mechanical ventilation (adverse clinical outcome). Multivariable Cox regression analysis was used to compare clinical outcomes of patients receiving IL-1 inhibition (anakinra) or IL-6 inhibition (tocilizumab or sarilumab) with those of patients who did not receive interleukin inhibitors, after accounting for baseline differences. …”
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  6. 87706
  7. 87707
    por Pinato, David J., Scotti, Lorenza, Gennari, Alessandra, Colomba-Blameble, Emeline, Dolly, Saoirse, Loizidou, Angela, Chester, John, Mukherjee, Uma, Zambelli, Alberto, Aguilar-Company, Juan, Bower, Mark, Galazi, Myria, Salazar, Ramon, Bertuzzi, Alexia, Brunet, Joan, Mesia, Ricard, Sita-Lumsden, Ailsa, Colomba, Johann, Pommeret, Fanny, Seguí, Elia, Biello, Federica, Generali, Daniele, Grisanti, Salvatore, Rizzo, Gianpiero, Libertini, Michela, Moss, Charlotte, Evans, Joanne S., Russell, Beth, Wuerstlein, Rachel, Vincenzi, Bruno, Bertulli, Rossella, Ottaviani, Diego, Liñan, Raquel, Marrari, Andrea, Carmona-García, M.C., Sng, Christopher. C.T., Tondini, Carlo, Mirallas, Oriol, Tovazzi, Valeria, Fotia, Vittoria, Cruz, Claudia A., Saoudi-Gonzalez, Nadia, Felip, Eudald, R. Lloveras, Ariadna, Lee, Alvin. J.X., Newsom-Davis, Thomas, Sharkey, Rachel, Chung, Chris, García-Illescas, David, Reyes, Roxana, Sophia Wong, Yien N., Ferrante, Daniela, Marco-Hernández, Javier, Ruiz-Camps, Isabel, Gaidano, Gianluca, Patriarca, Andrea, Sureda, Anna, Martinez-Vila, Clara, Sanchez de Torre, Ana, Rimassa, Lorenza, Chiudinelli, Lorenzo, Franchi, Michela, Krengli, Marco, Santoro, Armando, Prat, Aleix, Tabernero, Josep, V. Hemelrijck, Mieke, Diamantis, Nikolaos, Cortellini, Alessio
    Publicado 2021
    “…We compared patient characteristics at baseline including oncological and COVID-19–specific therapy across UK and EU cohorts and evaluated the association of these factors with the risk of adverse outcomes in multivariable Cox regression models. FINDINGS: Compared with EU (n = 924), UK patients (n = 468) were characterised by higher case fatality rates (40.38% versus 26.5%, p < 0.0001) and higher risk of death at 30 days (hazard ratio [HR], 1.64 [95% confidence interval {CI}, 1.36–1.99]) and 6 months after COVID-19 diagnosis (47.64% versus 33.33%; p < 0.0001; HR, 1.59 [95% CI, 1.33–1.88]). …”
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  8. 87708
  9. 87709
    “…Overall, 28-day ICU mortality, accounting for the competing risk of being discharged within the period, was 35.6% (SE 1.7). Cox proportional hazard analysis demonstrated that C(RS) (+ 10 mL/cm H(2)O) was only associated with being discharge from the ICU within 28 days (HR 1.14, 95% CI 1.02–1.28, p = 0.018). …”
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  10. 87710
    “…In this cohort study, we included long-term care facility residents undergoing routine asymptomatic SARS-CoV-2 testing between Dec 8, 2020 (the date the vaccine was first deployed in a long-term care facility), and March 15, 2021, using national testing data linked within the COVID-19 Datastore. Using Cox proportional hazards regression, we estimated the relative hazard of PCR-positive infection at 0–6 days, 7–13 days, 14–20 days, 21–27 days, 28–34 days, 35–48 days, and 49 days and beyond after vaccination, comparing unvaccinated and vaccinated person-time from the same cohort of residents, adjusting for age, sex, previous infection, local SARS-CoV-2 incidence, long-term care facility bed capacity, and clustering by long-term care facility. …”
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  11. 87711
    “…MAIN OUTCOMES AND MEASURES: Distant recurrence–free interval (DRFI) by clinically used breast cancer markers was assessed using Kaplan-Meier and multivariable Cox proportional hazards analyses adjusted for age, period of primary diagnosis, tumor size (T1a and T1b [T1a/b], T1c, and T2), tumor grade (1-3), PR status (positive vs negative), Ki-67 status (low vs medium to high), and STO-3 clinical trial arm (tamoxifen treatment vs no adjuvant treatment). …”
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  12. 87712
  13. 87713
    “…Les facteurs associés à une forme grave, définie par la survenue du décès ou la nécessité d’une ventilation mécanique, ont été étudiés à l’aide de modèles de Cox. RÉSULTATS: Parmi 399 patients inclus à partir des urgences, 78 patients sont retournés au domicile et 25 ont été transférés dans un autre hôpital. …”
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  14. 87714
    “…METHODS: This prospective, multicenter, cohort study consecutively enrolled 3335 patients with AHF who were admitted to EDs of 14 hospitals from Beijing between January 1, 2011 and September 23, 2012. Kaplan-Meier and Cox regression analysis were adopted to evaluate 5-year outcomes and associated predictors. …”
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  15. 87715
    “…MAIN OUTCOMES AND MEASURES: The associations of body composition profiles with 5-year cancer recurrence and disease-specific mortality were analyzed using Mantel Cox log-rank test and Kaplan-Meier curves. RESULTS: A total of 28 patients were included (median [interquartile range] age, 67 [58-72] years; 22 [78.6%] men). …”
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  16. 87716
  17. 87717
    “…Demographic and preoperative sonographic characteristics, tumor recurrence or progression and survival were compared between the ProMisE subgroups. Cox regression analysis was used to identify prognostic factors associated with recurrence or progression, using univariable models to study crude associations and multivariable models to study adjusted associations. …”
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  18. 87718
  19. 87719
    “…In the multivariable-adjusted Cox models, conventional cardiovascular disease risk factors, such as smoking (diabetes: HR 2.07 [1.59–2.69]; non-diabetes: HR 1.85 [1.68–2.02]), BMI (diabetes: HR 1.30 [1.18–1.42]; non-diabetes: HR 1.40 [1.35–1.47]), baseline myocardial infarction (diabetes: HR 2.06 [1.55–2.75]; non-diabetes: HR 2.86 [2.50–3.28]), and baseline atrial fibrillation (diabetes: HR 1.51 [0.82–2.80]; non-diabetes: HR 2.97 [2.21–4.00]) had the strongest associations with incident heart failure. …”
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  20. 87720
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