Nanayakkara P - Search Results

1

Predicting poor outcome in patients with suspected COVID-19 presenting to the Emergency Department (COVERED) - Development, internal and external validation of a prediction model.

Azijli K, Lieveld A, van der Horst S, de Graaf N, Kootte RS, Heijmans MW, van de Ven PM, Peters E, Heijmans J, Terragnoli P, Natalini G, Abu Hilal M, de Rooij T, Nanayakkara P. Azijli K, et al. Among authors: nanayakkara p. Acute Med. 2021;20(1):4-14. Acute Med. 2021. PMID: 33749689

2

Measurement of generic patient reported outcome measures (PROMs) in an acute admission unit: A feasibility study.

Galen LS, der Schors Wv, Damen NL, Kramer M, Wagner C, Nanayakkara P. Galen LS, et al. Among authors: nanayakkara p. Acute Med. 2016;15(1):13-9. Acute Med. 2016. PMID: 27116582

3

Results on patient flow of implementing an Acute Medical Unit.

Rombach SM, Balke- Budai G, van Galen J, Bekker R, Smit-Bruineberg SE, Biesheuvel TH, Kramer M, Nanayakkara P. Rombach SM, et al. Among authors: nanayakkara p. Acute Med. 2018;17(2):62-67. Acute Med. 2018. PMID: 29882555

4

Screening instruments for identification of vulnerable older adults at the emergency department: a critical appraisal.

van Dam CS, Moss N, Schaper SA, Trappenburg MC, Ter Wee MM, Scheerman K, Muller M, Nanayakkara P, Peters M. van Dam CS, et al. Among authors: nanayakkara p. Acute Med. 2018;17(3):124-129. Acute Med. 2018. PMID: 30129944

5

Exploring the value of routinely measured hematology parameters for identification of elderly patients at high risk of death at the Emergency Department.

Bindraban RS, Ten Berg MJ, Haitjema S, Hoefer IE, de Regt M, Kramer M, van Solinge WW, Nanayakkara P, Naaktgeboren CA. Bindraban RS, et al. Among authors: nanayakkara p. Acute Med. 2018;17(4):188-202. Acute Med. 2018. PMID: 30882102

6

The utility of peripheral venous lactate in emergency department patients with normal and higher lactate levels: A prospective observational study.

Van Tienhoven AJ, Van Beers C, Siegert C, Nanayakkara P. Van Tienhoven AJ, et al. Among authors: nanayakkara p. Acute Med. 2020;19(3):125-130. Acute Med. 2020. PMID: 33020755

7

A prospective, observational study of the performance of MEWS, NEWS, SIRS and qSOFA for early risk stratification for adverse outcomes in patients with suspected infections at the emergency department.

Azijli K, Minderhoud T, Mohammadi P, Dekker R, Brown V, Attaye T, Huisman SJ, Hettinga-Roest AA, Nanayakkara P. Azijli K, et al. Among authors: nanayakkara p. Acute Med. 2021;20(2):116-124. Acute Med. 2021. PMID: 34190738

8

Real-world characteristics and outcomes of patients with intermediate high risk acute pulmonary embolism.

Overgaauw A, Meijboom LJ, van Es J, Lust EJ, Serne EH, Nanayakkara P, Smulders YM, Kooter AJ, Sprengers RW, de Grooth HJ, Lely RJ, Thijs A, Noordegraaf AV, Heunks L, Elbers P, Bogaard HJ, Tuinman PR, Nossent EJ. Overgaauw A, et al. Among authors: nanayakkara p. Acute Med. 2023;22(2):61-66. doi: 10.52964/AMJA.0936. Acute Med. 2023. PMID: 37306130

9

Emergency department crowding and older patients: a nationwide retrospective cohort study.

Schouten B, Merten H, Kremers M, van Greuningen M, Wagner C, Nanayakkara P. Schouten B, et al. Among authors: nanayakkara p. Acute Med. 2023;22(2):72-82. doi: 10.52964/AMJA.0938. Acute Med. 2023. PMID: 37306132

10

Artificial Intelligence: its Future and Impact on Acute Medicine.

Schinkel M, Paranjape K, Bhagirath SC, Nanayakkara P. Schinkel M, et al. Among authors: nanayakkara p. Acute Med. 2023;22(3):150-153. Acute Med. 2023. PMID: 37746684

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