Alpha 2.0
Login Register
» Authors » Nicolette F de Keizer

Nicolette F de Keizer

Explore the profile of Nicolette F de Keizer including associated specialties, affiliations and a list of published articles. Areas
Snapshot
Articles 185
Citations 2766
Followers 0
Related Specialties
Critical Care
Medical Informatics
Health Services
Top 10 Co-Authors
Evert de Jonge
Ameen Abu-Hanna
Dave A Dongelmans
Niels Peek
Dylan W de Lange
Ronald Cornet
Ferishta Bakhshi-Raiez
Sylvia Brinkman
Sabine N van der Veer
Fabian Termorshuizen
Published In
Crit Care Med
Stud Health Technol Inform
Int J Med Inform
Crit Care
J Crit Care
Affiliations
Soon will be listed here.
Recent Articles
1.
Long-term mortality of Dutch COVID-19 patients admitted to the intensive care medicine: a retrospective analysis from a national quality registry
Wortel S, Bakhshi-Raiez F, Abu-Hanna A, Dongelmans D, de Keizer N, Houwink A, et al.
Crit Care Sci . 2025 Jan; 36():e202400251en. PMID: 39775432
Objective: To describe the 12-month mortality of Dutch COVID-19 intensive care unit patients, the total COVID-19 population and various subgroups on the basis of the number of comorbidities, age, sex,...
2.
Three-year mortality of ICU survivors with sepsis, an infection or an inflammatory illness: an individually matched cohort study of ICU patients in the Netherlands from 2007 to 2019
Arbous S, Termorshuizen F, Brinkman S, de Lange D, Bosman R, Dekkers O, et al.
Crit Care . 2024 Nov; 28(1):374. PMID: 39563453
Background: Sepsis is a frequent reason for ICU admission and a leading cause of death. Its incidence has been increasing over the past decades. While hospital mortality is decreasing, it...
3.
Clinical phenotyping uncovers heterogeneous associations between corticosteroid treatment and survival in critically ill COVID-19 patients
Bruse N, Motos A, van Amstel R, De Bie E, Kooistra E, Jansen A, et al.
Intensive Care Med . 2024 Aug; 50(11):1884-1896. PMID: 39186112
Purpose: Disease heterogeneity in coronavirus disease 2019 (COVID-19) may render the current one-size-fits-all treatment approach suboptimal. We aimed to identify and immunologically characterize clinical phenotypes among critically ill COVID-19 patients,...
4.
Linking Dutch Intensive Care Registry Data to Socioeconomic Status Scores
Koornneef D, Brinkman S, Termorshuizen F, de Keizer N
Stud Health Technol Inform . 2024 Aug; 316:59-60. PMID: 39176674
This study aimed to gain insight into the success rate of linking the NICE registry with SES data from CBS and to examine whether the characteristics of linked and non-linked...
5.
Emergency Department Triage, Transfer Times, and Hospital Mortality of Patients Admitted to the ICU: A Retrospective Replication and Continuation Study
van Herwerden M, Groenland C, Termorshuizen F, Rietdijk W, Blokzijl F, Cleffken B, et al.
Crit Care Med . 2024 Aug; 52(12):1856-1865. PMID: 39158382
Objectives: This study aimed to provide new insights into the impact of emergency department (ED) to ICU time on hospital mortality, stratifying patients by academic and nonacademic teaching (NACT) hospitals,...
6.
Comparing causal random forest and linear regression to estimate the independent association of organisational factors with ICU efficiency
Bastos L, Wortel S, Bakhshi-Raiez F, Abu-Hanna A, Dongelmans D, Salluh J, et al.
Int J Med Inform . 2024 Aug; 191:105568. PMID: 39111243
Purpose: Parametric regression models have been the main statistical method for identifying average treatment effects. Causal machine learning models showed promising results in estimating heterogeneous treatment effects in causal inference....
7.
Assessing the use of HL7 FHIR for implementing the FAIR guiding principles: a case study of the MIMIC-IV Emergency Department module
Van Damme P, Lobe M, Benis N, de Keizer N, Cornet R
JAMIA Open . 2024 Jan; 7(1):ooae002. PMID: 38283884
Objectives: To provide a real-world example on how and to what extent Health Level Seven Fast Healthcare Interoperability Resources (FHIR) implements the Findable, Accessible, Interoperable, and Reusable (FAIR) guiding principles...
8.
The effect of computerised decision support alerts tailored to intensive care on the administration of high-risk drug combinations, and their monitoring: a cluster randomised stepped-wedge trial
Bakker T, Klopotowska J, Dongelmans D, Eslami S, Vermeijden W, Hendriks S, et al.
Lancet . 2024 Jan; 403(10425):439-449. PMID: 38262430
Background: Drug-drug interactions (DDIs) can harm patients admitted to the intensive care unit (ICU). Yet, clinical decision support systems (CDSSs) aimed at helping physicians prevent DDIs are plagued by low-yield...
9.
Characteristics and outcome of COVID-19 patients admitted to the ICU: a nationwide cohort study on the comparison between the consecutive stages of the COVID-19 pandemic in the Netherlands, an update
Termorshuizen F, Dongelmans D, Brinkman S, Bakhshi-Raiez F, Arbous M, de Lange D, et al.
Ann Intensive Care . 2024 Jan; 14(1):11. PMID: 38228972
Background: Previously, we reported a decreased mortality rate among patients with COVID-19 who were admitted at the ICU during the final upsurge of the second wave (February-June 2021) in the...
10.
Strain on Scarce Intensive Care Beds Drives Reduced Patient Volumes, Patient Selection, and Worse Outcome: A National Cohort Study
Brinkman S, de Keizer N, de Lange D, Dongelmans D, Termorshuizen F, van Bussel B
Crit Care Med . 2023 Dec; 52(4):574-585. PMID: 38095502
Objectives: Strain on ICUs during the COVID-19 pandemic required stringent triage at the ICU to distribute resources appropriately. This could have resulted in reduced patient volumes, patient selection, and worse...