scholarly journals Method comparison – a new approach to implementing the Bland–Altman analysis to estimate the precision of a new method: tested on 30 critically ill patients monitored with pulse pressure analysis and continuous cardiac output vs intermittent thermodilution

Critical Care ◽  
2007 ◽  
Vol 11 (Suppl 2) ◽  
pp. P290
Author(s):  
M Cecconi ◽  
J Poloniecki ◽  
G Della Rocca ◽  
J Ball ◽  
R Grounds ◽  
...  
Keyword(s):  
Cardiac Output ◽  
Critically Ill ◽  
Pulse Pressure ◽  
Critically Ill Patients ◽  
Method Comparison ◽  
Continuous Cardiac Output ◽  
Altman Analysis ◽  
New Approach ◽  
Bland Altman Analysis ◽  
Pressure Analysis

Performance of Automated Telemetry in Diagnosing QT Prolongation in Critically Ill Patients

2021 ◽  
Vol 30 (6) ◽  
pp. 466-470
Author(s):  
Enrique Calvo-Ayala ◽  
Vince Procopio ◽  
Hayk Papukhyan ◽  
Girish B. Nair
Keyword(s):  
Critically Ill ◽  
Critically Ill Patients ◽  
Demographic Data ◽  
Area Under The Curve ◽  
Qt Prolongation ◽  
Altman Analysis ◽  
Poor Agreement ◽  
Bland Altman Analysis ◽  
Prolonged Qt ◽  
Definition Of

Background QT prolongation increases the risk of ventricular arrhythmia and is common among critically ill patients. The gold standard for QT measurement is electrocardiography. Automated measurement of corrected QT (QTc) by cardiac telemetry has been developed, but this method has not been compared with electrocardiography in critically ill patients. Objective To compare the diagnostic performance of QTc values obtained with cardiac telemetry versus electrocardiography. Methods This prospective observational study included patients admitted to intensive care who had an electrocardiogram ordered simultaneously with cardiac telemetry. Demographic data and QTc determined by electrocardiography and telemetry were recorded. Bland-Altman analysis was done, and correlation coefficient and receiver operating characteristic (ROC) coefficient were calculated. Results Fifty-one data points were obtained from 43 patients (65% men). Bland-Altman analysis revealed poor agreement between telemetry and electrocardiography and evidence of fixed and proportional bias. Area under the ROC curve for QTc determined by telemetry was 0.9 (P < .001) for a definition of prolonged QT as QTc ≥ 450 milliseconds in electrocardiography (sensitivity, 88.89%; specificity, 83.33%; cutoff of 464 milliseconds used). Correlation between the 2 methods was only moderate (r = 0.6, P < .001). Conclusions QTc determination by telemetry has poor agreement and moderate correlation with electrocardiography. However, telemetry has an acceptable area under the curve in ROC analysis with tolerable sensitivity and specificity depending on the cutoff used to define prolonged QT. Cardiac telemetry should be used with caution in critically ill patients.

CONTINUOUS CARDIAC OUTPUT MEASUREMENT IN HYPERDYNAMIC CRITICALLY ILL PATIENTS

1995 ◽  
Vol 23 (Supplement) ◽  
pp. A135 ◽  
Author(s):  
Tadashi Mitsuo ◽  
Tetsuo Yukioka ◽  
Hiroharu Matsuda ◽  
Shuji Shimazaki
Keyword(s):  
Cardiac Output ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Cardiac Output Measurement ◽  
Continuous Cardiac Output ◽  
Output Measurement

CONTINUOUS CARDIAC OUTPUT/ MIXED VENOUS O2 MONITORING SYSTEM???A COMPARATIVE EVALUATION IN CRITICALLY ILL PATIENTS

1994 ◽  
Vol 22 (1) ◽  
pp. A191 ◽  
Author(s):  
William R. Auger ◽  
David B. Hoyt ◽  
F. Wayne Johnson ◽  
Diane Lewis ◽  
Joan Garcia ◽  
...  
Keyword(s):  
Cardiac Output ◽  
Critically Ill ◽  
Monitoring System ◽  
Critically Ill Patients ◽  
Comparative Evaluation ◽  
Continuous Cardiac Output ◽  
System A ◽  
Mixed Venous

scholarly journals Oscillating Continuous Cardiac Output in Postoperative Critically Ill Patients: Is this Phenomenon Accurate, Artifact, or Error?

2017 ◽  
Vol 31 (4) ◽  
pp. e61-e62
Author(s):  
Kevin W. Hatton ◽  
Suraj Yalamuri ◽  
Sharon McCartney ◽  
Eugene A. Hessel ◽  
Jonathan B. Mark
Keyword(s):  
Cardiac Output ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Continuous Cardiac Output

scholarly journals Comparing Clinical Efficacy of Artificial Intelligence-powered Ultrasound with Pulse Index Continuous Cardiac Output for Monitoring Critically ill Patients

2020 ◽  
Author(s):  
Yi Fang ◽  
Di Lv ◽  
Haidong Zhou ◽  
Xiaoxiao Sun ◽  
Yuanzhuo Chen ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Cardiac Output ◽  
Critically Ill ◽  
Clinical Efficacy ◽  
Critically Ill Patients ◽  
Lung Ultrasound ◽  
Left Ventricular ◽  
Continuous Cardiac Output ◽  
Female Ratio ◽  
Significant Difference

Abstract Background: To compare safety and clinical efficacy of artificial intelligence (AI)-powered ultrasound with pulse index continuous cardiac output (PiCCO) for monitoring critically ill patients.Methods: Patients who were admitted to our hospital from April to June 2020 were recruited. PiCCO was employed to monitor cardiac output (CO) and extravascular lung water index (ELWI). Simultaneously, an AI-powered ultrasound was used to automatically monitor CO and the left ventricular outflow tract velocity time integral (LVOT-VTI), and Lung ultrasound B line.Results: A total of 41 patients were enrolled, the male/female ratio was 26:15, and the patients’ median age was 73.6±8.85 years old. There was no significant difference between PiCCO and AI-powered ultrasound in monitoring of CO (t = 1.01, P = 0.316), and the correlation between these two techniques was significant (r=0.911; 95% confidence interval (CI): [0.82; 0.96]; P < 0.001). Similarly, the correlation between lung ultrasound and ELWI was significant r=0.770 (95%CI: [0.58; 0.88]; P < 0.001). Conclusions: Clinical management of critically ill patients can be achieved via monitoring techniques, such as PICCO and AI-powered ultrasound.

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