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Prognostic performance of pancreatic stone protein in critically ill patients with sepsis.
García de Guadiana-Romualdo L, Albaladejo-Otón MD, Berger M, Jiménez-Santos E, Jiménez-Sánchez R, Esteban-Torrella P, Rebollo-Acebes S, Hernando-Holgado A, Ortín-Freire A, Trujillo-Santos J. García de Guadiana-Romualdo L, et al. Biomark Med. 2019 Dec;13(17):1469-1480. doi: 10.2217/bmm-2019-0174. Epub 2019 Oct 17. Biomark Med. 2019. PMID: 31621373
Machine learning to predict major bleeding during anticoagulation for venous thromboembolism: possibilities and limitations.
Mora D, Mateo J, Nieto JA, Bikdeli B, Yamashita Y, Barco S, Jimenez D, Demelo-Rodriguez P, Rosa V, Yoo HHB, Sadeghipour P, Monreal M; Registro Informatizado de Enfermedad TromboEmbólica (RIETE) Investigators. Mora D, et al. Br J Haematol. 2023 Jun;201(5):971-981. doi: 10.1111/bjh.18737. Epub 2023 Mar 21. Br J Haematol. 2023. PMID: 36942630
[Prognostic value of lipopolysaccharide binding protein and procalcitonin in patients with severe sepsis and septic shock admitted to intensive care].
García de Guadiana-Romualdo LM, Rebollo-Acebes S, Esteban-Torrella P, Jiménez-Sánchez R, Hernando-Holgado A, Ortín-Freire A, Viqueira-González M, Trujillo-Santos J, Jiménez Santos E, Pedregosa Díaz J, Albaladejo-Otón MD, Allegue-Gallego JM. García de Guadiana-Romualdo LM, et al. Med Intensiva. 2015 May;39(4):207-12. doi: 10.1016/j.medin.2014.04.005. Epub 2014 Jun 18. Med Intensiva. 2015. PMID: 24953001 Free article. Spanish.
142 results