Associations between tricuspid annular plane systolic excursion to reflect right ventricular function and acute kidney injury in critically ill patients: a SICS-I sub-study

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Associations between tricuspid annular plane systolic excursion to reflect right ventricular function and acute kidney injury in critically ill patients : a SICS-I sub-study. / Wiersema, Renske; Koeze, Jacqueline; Hiemstra, Bart; Pettilä, Ville; Perner, Anders; Keus, Frederik; van der Horst, Iwan C.C.; SICS-I Study Group.

In: Annals of Intensive Care, Vol. 9, 38, 03.2019.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Wiersema, R, Koeze, J, Hiemstra, B, Pettilä, V, Perner, A, Keus, F, van der Horst, ICC & SICS-I Study Group 2019, 'Associations between tricuspid annular plane systolic excursion to reflect right ventricular function and acute kidney injury in critically ill patients: a SICS-I sub-study', Annals of Intensive Care, vol. 9, 38. https://doi.org/10.1186/s13613-019-0513-z

APA

Wiersema, R., Koeze, J., Hiemstra, B., Pettilä, V., Perner, A., Keus, F., van der Horst, I. C. C., & SICS-I Study Group (2019). Associations between tricuspid annular plane systolic excursion to reflect right ventricular function and acute kidney injury in critically ill patients: a SICS-I sub-study. Annals of Intensive Care, 9, [38]. https://doi.org/10.1186/s13613-019-0513-z

Vancouver

Wiersema R, Koeze J, Hiemstra B, Pettilä V, Perner A, Keus F et al. Associations between tricuspid annular plane systolic excursion to reflect right ventricular function and acute kidney injury in critically ill patients: a SICS-I sub-study. Annals of Intensive Care. 2019 Mar;9. 38. https://doi.org/10.1186/s13613-019-0513-z

Author

Wiersema, Renske ; Koeze, Jacqueline ; Hiemstra, Bart ; Pettilä, Ville ; Perner, Anders ; Keus, Frederik ; van der Horst, Iwan C.C. ; SICS-I Study Group. / Associations between tricuspid annular plane systolic excursion to reflect right ventricular function and acute kidney injury in critically ill patients : a SICS-I sub-study. In: Annals of Intensive Care. 2019 ; Vol. 9.

Bibtex

@article{c72ba58ab1e34b72b603e804e12ece38,
title = "Associations between tricuspid annular plane systolic excursion to reflect right ventricular function and acute kidney injury in critically ill patients: a SICS-I sub-study",
abstract = "Background: Acute kidney injury (AKI) occurs in up to 50% of all critically ill patients and hemodynamic abnormalities are assumed to contribute, but their nature and share is still unclear. We explored the associations between hemodynamic variables, including cardiac index and right ventricular function, and the occurrence of AKI in critically ill patients. Methods: In this prospective cohort study, we included all patients acutely admitted to an intensive care unit (ICU). Within 24 h after ICU admission clinical and hemodynamic variables were registered including ultrasonographic measurements of cardiac index and right ventricular function, assessed using tricuspid annular plane systolic excursion (TAPSE) and right ventricular systolic excursion (RV S{\textquoteright}). Maximum AKI stage was assessed according to the KDIGO criteria during the first 72 h after admission. Multivariable logistic regression modeling was used including both known predictors and univariable significant predictors of AKI. Secondary outcomes were days alive outside ICU and 90-day mortality. Results: A total of 622 patients were included, of which 338 patients (54%) had at least AKI stage 1 within 72 h after ICU admission. In the final multivariate model higher age (OR 1.01, 95% CI 1.00–1.03, for each year), higher weight (OR 1.03 CI 1.02–1.04, for each kg), higher APACHE IV score (OR 1.02, CI 1.01–1.03, per point), lower mean arterial pressure (OR 1.02, CI 1.01–1.03, for each mmHg decrease) and lower TAPSE (OR 1.05, CI 1.02–1.09 per millimeter decrease) were all independent predictors for AKI in the final multivariate logistic regression model. Sepsis, cardiac index, RV S{\textquoteright} and use of vasopressors were not significantly associated with AKI in our data. AKI patients had fewer days alive outside of ICU, and their mortality rate was significantly higher than those without AKI. Conclusions: In our cohort of acutely admitted ICU patients, the incidence of AKI was 54%. Hemodynamic variables were significantly different between patients with and without AKI. A worse right ventricle function was associated with AKI in the final model, whereas cardiac index was not.",
keywords = "Acute kidney injury, Critical care, Hemodynamics, Prospective study, Ultrasonography",
author = "Renske Wiersema and Jacqueline Koeze and Bart Hiemstra and Ville Pettil{\"a} and Anders Perner and Frederik Keus and {van der Horst}, {Iwan C.C.} and {SICS-I Study Group}",
year = "2019",
month = mar,
doi = "10.1186/s13613-019-0513-z",
language = "English",
volume = "9",
journal = "Annals of Intensive Care",
issn = "2110-5820",
publisher = "SpringerOpen",

}

RIS

TY - JOUR

T1 - Associations between tricuspid annular plane systolic excursion to reflect right ventricular function and acute kidney injury in critically ill patients

T2 - a SICS-I sub-study

AU - Wiersema, Renske

AU - Koeze, Jacqueline

AU - Hiemstra, Bart

AU - Pettilä, Ville

AU - Perner, Anders

AU - Keus, Frederik

AU - van der Horst, Iwan C.C.

AU - SICS-I Study Group

PY - 2019/3

Y1 - 2019/3

N2 - Background: Acute kidney injury (AKI) occurs in up to 50% of all critically ill patients and hemodynamic abnormalities are assumed to contribute, but their nature and share is still unclear. We explored the associations between hemodynamic variables, including cardiac index and right ventricular function, and the occurrence of AKI in critically ill patients. Methods: In this prospective cohort study, we included all patients acutely admitted to an intensive care unit (ICU). Within 24 h after ICU admission clinical and hemodynamic variables were registered including ultrasonographic measurements of cardiac index and right ventricular function, assessed using tricuspid annular plane systolic excursion (TAPSE) and right ventricular systolic excursion (RV S’). Maximum AKI stage was assessed according to the KDIGO criteria during the first 72 h after admission. Multivariable logistic regression modeling was used including both known predictors and univariable significant predictors of AKI. Secondary outcomes were days alive outside ICU and 90-day mortality. Results: A total of 622 patients were included, of which 338 patients (54%) had at least AKI stage 1 within 72 h after ICU admission. In the final multivariate model higher age (OR 1.01, 95% CI 1.00–1.03, for each year), higher weight (OR 1.03 CI 1.02–1.04, for each kg), higher APACHE IV score (OR 1.02, CI 1.01–1.03, per point), lower mean arterial pressure (OR 1.02, CI 1.01–1.03, for each mmHg decrease) and lower TAPSE (OR 1.05, CI 1.02–1.09 per millimeter decrease) were all independent predictors for AKI in the final multivariate logistic regression model. Sepsis, cardiac index, RV S’ and use of vasopressors were not significantly associated with AKI in our data. AKI patients had fewer days alive outside of ICU, and their mortality rate was significantly higher than those without AKI. Conclusions: In our cohort of acutely admitted ICU patients, the incidence of AKI was 54%. Hemodynamic variables were significantly different between patients with and without AKI. A worse right ventricle function was associated with AKI in the final model, whereas cardiac index was not.

AB - Background: Acute kidney injury (AKI) occurs in up to 50% of all critically ill patients and hemodynamic abnormalities are assumed to contribute, but their nature and share is still unclear. We explored the associations between hemodynamic variables, including cardiac index and right ventricular function, and the occurrence of AKI in critically ill patients. Methods: In this prospective cohort study, we included all patients acutely admitted to an intensive care unit (ICU). Within 24 h after ICU admission clinical and hemodynamic variables were registered including ultrasonographic measurements of cardiac index and right ventricular function, assessed using tricuspid annular plane systolic excursion (TAPSE) and right ventricular systolic excursion (RV S’). Maximum AKI stage was assessed according to the KDIGO criteria during the first 72 h after admission. Multivariable logistic regression modeling was used including both known predictors and univariable significant predictors of AKI. Secondary outcomes were days alive outside ICU and 90-day mortality. Results: A total of 622 patients were included, of which 338 patients (54%) had at least AKI stage 1 within 72 h after ICU admission. In the final multivariate model higher age (OR 1.01, 95% CI 1.00–1.03, for each year), higher weight (OR 1.03 CI 1.02–1.04, for each kg), higher APACHE IV score (OR 1.02, CI 1.01–1.03, per point), lower mean arterial pressure (OR 1.02, CI 1.01–1.03, for each mmHg decrease) and lower TAPSE (OR 1.05, CI 1.02–1.09 per millimeter decrease) were all independent predictors for AKI in the final multivariate logistic regression model. Sepsis, cardiac index, RV S’ and use of vasopressors were not significantly associated with AKI in our data. AKI patients had fewer days alive outside of ICU, and their mortality rate was significantly higher than those without AKI. Conclusions: In our cohort of acutely admitted ICU patients, the incidence of AKI was 54%. Hemodynamic variables were significantly different between patients with and without AKI. A worse right ventricle function was associated with AKI in the final model, whereas cardiac index was not.

KW - Acute kidney injury

KW - Critical care

KW - Hemodynamics

KW - Prospective study

KW - Ultrasonography

U2 - 10.1186/s13613-019-0513-z

DO - 10.1186/s13613-019-0513-z

M3 - Journal article

C2 - 30868290

AN - SCOPUS:85063052194

VL - 9

JO - Annals of Intensive Care

JF - Annals of Intensive Care

SN - 2110-5820

M1 - 38

ER -

ID: 241383226