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Chronic arterial hypertension and nocturnal non-dipping predict postinduction and intraoperative hypotension: A secondary analysis of a prospective study - 28/04/22

Doi : 10.1016/j.jclinane.2022.110715 
Phillip Hoppe, (MD) a, 1, Christian Burfeindt a, 1, Philip C. Reese, (MD) a, Luisa Briesenick, (MD) a, Moritz Flick, (MD) a, Karim Kouz, (MD) a, Hans Pinnschmidt, (PhD) b, Alexander Hapfelmeier, (PhD) d, c, Daniel I. Sessler, (MD) e, Bernd Saugel, (MD) a, f,
a Department of Anesthesiology, Center of Anesthesiology and Intensive Care Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany 
b Department of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany 
c Technical University of Munich, School of Medicine, Institute of General Practice and Health Services Research, Munich, Germany 
d Technical University of Munich, School of Medicine, Institute for AI and Informatics in Medicine, Munich, Germany 
e Department of Outcomes Research, Anesthesiology Institute, Cleveland Clinic, Cleveland, OH, USA 
f Outcomes Research Consortium, Cleveland, OH, USA 

Corresponding author at: Department of Anesthesiology, Center of Anesthesiology and Intensive Care Medicine, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246 Hamburg, Germany.Department of AnesthesiologyCenter of Anesthesiology and Intensive Care MedicineUniversity Medical Center Hamburg-EppendorfMartinistrasse 52Hamburg20246Germany

Abstract

Study objective

Postinduction and intraoperative hypotension are associated with organ injury in non-cardiac surgery patients. Automated ambulatory blood pressure monitoring can identify chronic arterial hypertension and nocturnal blood pressure non-dipping. We tested the hypotheses that: a) chronic arterial hypertension and nocturnal non-dipping are independent risk factors for postinduction and intraoperative hypotension; and b) adding information on chronic arterial hypertension and nocturnal non-dipping improves hypotension prediction models based on readily available preoperative clinical information.

Design

Prediction model development based on a secondary analysis of a prospective observational study.

Setting

German university medical center.

Patients

366 non-cardiac surgery patients who had preoperative automated ambulatory blood pressure monitoring.

Measurements

Multivariable analyses to identify risk factors for postinduction and intraoperative hypotension. Area under receiver operating characteristics curves (AUROC) and likelihood-ratio tests to test whether adding information on chronic arterial hypertension and nocturnal non-dipping improves hypotension prediction models based on readily available preoperative clinical information.

Main results

Risk factors for postinduction hypotension were age in years (odds ratio: 1.06 (95% confidence interval: 1.03 to 1.10), P = 0.001), American Society of Anesthesiologists physical status class (1.85 (1.02 to 3.35), P = 0.043), preoperative use of angiotensin-converting enzyme inhibitors or angiotensin II receptor blockers (15.19 (1.76 to 131.46), P = 0.013), chronic arterial hypertension (2.54 (1.49 to 4.34), P = 0.001), and nocturnal non-dipping (3.61 (2.09 to 6.23), P < 0.001). The model's AUROC was 0.76 (95% confidence interval: 0.71 to 0.81) with and 0.67 (0.62 to 0.73) without information on chronic arterial hypertension and nocturnal non-dipping (P < 0.001). Risk factors for intraoperative hypotension were male sex (1.73 (1.07 to 2.80), P = 0.025), chronic arterial hypertension (4.35 (2.33 to 8.14), P < 0.001), and nocturnal non-dipping (3.56 (2.07 to 6.11), P < 0.001). The model's AUROC was 0.76 (0.70 to 0.81) with and 0.63 (0.57 to 0.69) without information on chronic arterial hypertension and nocturnal non-dipping (P < 0.001).

Conclusions

Chronic arterial hypertension and nocturnal non-dipping are independent risk factors for postinduction and intraoperative hypotension in non-cardiac surgery patients. Adding information on chronic arterial hypertension and nocturnal non-dipping moderately improved hypotension prediction models based on preoperative clinical information.

Le texte complet de cet article est disponible en PDF.

Highlights

Ambulatory blood pressure monitoring can identify hypertension and non-dipping.
Hypertension and non-dipping are risk factors for perioperative hypotension.
Adding hypertension and non-dipping moderately improved hypotension prediction.

Le texte complet de cet article est disponible en PDF.

Keywords : Anesthesia, General anesthesia, Hemodynamic monitoring, Hypertension, Patient safety, Blood pressure, Ambulatory monitoring


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