Dynamic prediction of mortality in COVID-19 patients in the intensive care unit: A retrospective multi-center cohort study

Autor: Smit, J.M., Krijthe, J.H., Endeman, H., Tintu, A.N., de Rijke, Y.B., Gommers, D.A.M.P.J., Cremer, O.L., Bosman, R.J., Rigter, S., Wils, E.-J., Frenzel, T., Dongelmans, D.A., De Jong, R., Peters, M.A.A., Kamps, M.J.A., Ramnarain, D., Nowitzky, R., Nooteboom, F.G.C.A., De Ruijter, W., Urlings-Strop, L.C., Smit, E.G.M., Mehagnoul-Schipper, D.J., Dormans, T., De Jager, C.P.C., Hendriks, S.H.A., Achterberg, S., Oostdijk, E., Reidinga, A.C., Festen-Spanjer, B., Brunnekreef, G.B., Cornet, A.D., Van den Tempel, W., Boelens, A.D., Koetsier, P., Lens, J.A., Faber, H.J., karakus, A., Entjes, R., De Jong, P., Rettig, T.C.D., Arbous, M.S., Lalisang, R.C.A., Tonutti, M., De Bruin, D.P., Elbers, P.W.G., Van Bommel, J., Reinders, M.J.T.

Publikováno v: In Intelligence-Based Medicine 2022 6

Assess and validate predictive performance of models for in-hospital mortality in COVID-19 patients: A retrospective cohort study in the Netherlands comparing the value of registry data with high-granular electronic health records

Autor: Vagliano, I., Schut, M.C., Abu-Hanna, A., Dongelmans, D.A., Lange, D.W. de, Gommers, D., Cremer, O.L., Bosman, R.J., Rigter, S., Wils, E.J., Frenzel, T., Jong, R. de, Peters, M.A.A., Kamps, M.J.A., Ramnarain, D., Nowitzky, R., Nooteboom, F.G.C.A., Ruijter, W. de, Urlings-Strop, L.C., Smit, E.G.M., Mehagnoul-Schipper, D.J., Dormans, T., Jager, C.P.C. de, Hendriks, S.H.A., Achterberg, S., Oostdijk, E., Reidinga, A.C., Festen-Spanjer, B., Brunnekreef, G.B., Cornet, A.D., Tempel, W. van den, Boelens, A.D., Koetsier, P., Lens, J., Faber, H.J., Karakus, A., Entjes, R., Jong, P. de, Rettig, T.C.D., Reuland, M.C., Arbous, S., Fleuren, L.M., Dam, T.A., Thoral, P.J., Lalisang, R.C.A., Tonutti, M., Bruin, D.P. de, Elbers, P.W.G., Keizer, N.F. de, Dutch COVID-19 Res Consortium, Dutch ICU Data Sharing Against COV

Publikováno v: International Journal of Medical Informatics, 167
International Journal of Medical Informatics, 167:104863. Elsevier Ireland Ltd
International Journal of Medical Informatics, 167. ELSEVIER IRELAND LTD
Vagliano, I, Schut, M C, Abu-Hanna, A, Dongelmans, D A, de Lange, D W, Gommers, D, Cremer, O L, Bosman, R J, Rigter, S, Wils, E-J, Frenzel, T, de Jong, R, Peters, M A A, Kamps, M J A, Ramnarain, D, Nowitzky, R, Nooteboom, F G C A, de Ruijter, W, Urlings-Strop, L C, Smit, E G M, Mehagnoul-Schipper, D J, Dormans, T, de Jager, C P C, Hendriks, S H A, Achterberg, S, Oostdijk, E, Reidinga, A C, Festen-Spanjer, B, Brunnekreef, G B, Cornet, A D, van den Tempel, W, Boelens, A D, Koetsier, P, Lens, J, Faber, H J, Karakus, A, Entjes, R, de Jong, P, Rettig, T C D, Reuland, M C, Arbous, S, Fleuren, L M, Dam, T A, Thoral, P J, Lalisang, R C A, Tonutti, M, de Bruin, D P, Elbers, P W G & de Keizer, N F 2022, ' Assess and validate predictive performance of models for in-hospital mortality in COVID-19 patients : A retrospective cohort study in the Netherlands comparing the value of registry data with high-granular electronic health records ', International Journal of Medical Informatics, vol. 167, 104863 . https://doi.org/10.1016/j.ijmedinf.2022.104863
International journal of medical informatics, 167:104863. Elsevier Ireland Ltd

Purpose: To assess, validate and compare the predictive performance of models for in-hospital mortality of COVID-19 patients admitted to the intensive care unit (ICU) over two different waves of infections. Our models were built with high-granular El

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b6a0687e3d7bae60f5dd4796a7ff407
https://doi.org/10.1016/j.ijmedinf.2022.104863

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

[No glucocorticoids for treatment of sepsis; unless...]

Autor: Kamps, M.J.A., Kiers, D., Pickkers, P.

Publikováno v: Nederlands Tijdschrift voor Geneeskunde, 161, D1461-D1461
Nederlands Tijdschrift voor Geneeskunde, 161, 0, pp. D1461-D1461

Item does not contain fulltext Steroids influence the immune response and blood pressure in patients with septic shock. Many trials have evaluated a putative positive effect of steroids as an adjuvant therapy in patients with sepsis and septic shock,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::41505b7407d79fa55f7613fd28c875d8
https://hdl.handle.net/2066/176841

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.