Layth Al Tmimi

Layth Al Tmimi

orcid

Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 March 2023 in Journal of Clinical Anesthesia
Verified
Journal Article
Closed access
DHDanny Feike Hoogma
Danny Feike Hoogma
RERaf Van Den Eynde
Raf Van Den Eynde
WOWouter Oosterlinck
Wouter Oosterlinck
LTLayth Al Tmimi
Layth Al Tmimi
PVPeter Verbrugghe
Peter Verbrugghe
SRSteffen Rex
Steffen Rex

1 November 2021 in Journal of Cardiothoracic and Vascular Anesthesia
Verified
Journal Article
Closed access
PDF file
JBJeroen Boons
Jeroen Boons
SBStefaan Van Biesen
Stefaan Van Biesen
TFTom Fivez
Tom Fivez
MVMarc Van de Velde
Marc Van de Velde
LTLayth Al Tmimi
Layth Al Tmimi

4 March 2016 in Clinical Chemistry and Laboratory Medicine (CCLM)
Verified
Journal Article
Closed access
LTLayth Al Tmimi
Layth Al Tmimi
MVMarc Van de Velde
Marc Van de Velde
BMBart Meyns
Bart Meyns
BMBart Meuris
Bart Meuris
PSPaul Sergeant
Paul Sergeant
SRSteffen Rex
Steffen Rex
Background: To investigate the predictive value of S100 (biochemical marker of neuroglial injury) for the occurrence of postoperative delirium (POD) in patients undergoing off-pump coronary artery bypass (OPCAB)-surgery. Methods: We enrolled 92 patients older than 18 years undergoing elective OPCAB-surgery. Serum-levels of S100 were determined at baseline (BL), end of surgery (EOS) and on the first postoperative day (PD1). Postoperatively, all-patients were evaluated daily until PD5 for the presence of POD using the confusion assessment method (CAM) or the confusion assessment method for the intensive care unit (CAM-ICU) for patients in the intensive care unit (ICU). Results: The overall incidence of POD was 21%. S100-values on PD1 significantly predicted the occurrence of POD during the later hospital stay [area under the curve (AUC)=0.724 (95% confidence interval (CI): 0.619–0.814); p=0.0001] with an optimal cut-off level of 123 pg mL−1 (sensitivity 100%, specificity 44%). Below this value, the absence of POD was predicted correctly in 43.66% of patients without POD [negative predictive value (NPV) of 100% (95%CI: 88.8%–100.0%) – positive predictive value of 29.8% (95%CI: 18.4%–43.4%) and likelihood ratio (LR) of the negative result of 0.0]. Conclusions: S100-levels <123 pg mL−1 measured on PD1 reliably rule out the development of POD after elective OPCAB-surgery. This finding warrants testing whether S100-levels could be used for a risk stratification of cardiac surgical patients and for the initiation of preventive measures against POD in patients with high postoperative S100-levels.

1 April 2020 in British Journal of Anaesthesia
Verified
Journal Article
Closed access
LTLayth Al Tmimi
Layth Al Tmimi
PVPeter Verbrugghe
Peter Verbrugghe
MVMarc Van de Velde
Marc Van de Velde
BMBart Meuris
Bart Meuris
GMGeert Meyfroidt
Geert Meyfroidt
SRSteffen Rex
Steffen Rex

1 December 2018 in British Journal of Anaesthesia
Verified
Journal Article
Closed access
LHL. Van Hese
L. Van Hese
LTLayth Al Tmimi
Layth Al Tmimi
SDS. Devroe
S. Devroe
RSR.D. Sanders
R.D. Sanders
SFSteffen Fieuws
Steffen Fieuws
SRS. Rex
S. Rex

26 April 2023 in European Journal of Anaesthesiology Intensive Care
Verified
Journal Article
Open access
DHDanny Feike Hoogma
Danny Feike Hoogma
KMKoen Milisen
Koen Milisen
SRSteffen Rex
Steffen Rex
LTLayth Al Tmimi
Layth Al Tmimi
Postoperative delirium (POD) is a common neurocognitive syndrome seen in older patients after major surgery. POD is linked to longer stays in hospital and intensive care, a greater incidence of postoperative complications, worse functional outcome, and higher mortality. Researchers have not yet fully elucidated the exact pathophysiology of POD. Several risk factors that contribute to the development of POD have been identified, such as advanced age, cardiac or hip surgery, preoperative cognitive decline or delirium, disturbances in brain levels of neurotransmitters and information processing, oxidative stress and neuro-inflammation. Identifying patients at risk for POD enables a more precise and efficient allocation of medical resources and facilitates POD prevention and management. The present review addresses how to identify patients at risk of POD and summarizes the currently available evidence and best-practice recommendations for peri-operative management and prevention of POD.