Title |
Clinical review: Interpretation of arterial pressure wave in shock states
|
---|---|
Published in |
Critical Care, October 2005
|
DOI | 10.1186/cc3891 |
Pubmed ID | |
Authors |
Bouchra Lamia, Denis Chemla, Christian Richard, Jean-Louis Teboul |
Abstract |
In critically ill patients monitored with an arterial catheter, the arterial pressure signal provides two types of information that may help the clinician to interpret haemodynamic status better: the mean values of systolic, diastolic, mean and pulse pressures; and the magnitude of the respiratory variation in arterial pressure in patients undergoing mechanical ventilation. In this review we briefly discuss the physiological mechanisms responsible for arterial pressure generation, with special focus on resistance, compliance and pulse wave amplification phenomena. We also emphasize the utility of taking into consideration the overall arterial pressure set (systolic, diastolic, mean and pulse pressures) in order to define haemodynamic status better. Finally, we review recent studies showing that quantification of respiratory variation in pulse and systolic arterial pressures can allow one to identify the mechanically ventilated patients who may benefit from volume resuscitation. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 33% |
Australia | 1 | 33% |
Italy | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 3 | 2% |
Switzerland | 1 | <1% |
France | 1 | <1% |
South Africa | 1 | <1% |
Belgium | 1 | <1% |
Spain | 1 | <1% |
United States | 1 | <1% |
Unknown | 169 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Other | 33 | 19% |
Student > Ph. D. Student | 25 | 14% |
Student > Postgraduate | 23 | 13% |
Researcher | 21 | 12% |
Student > Master | 15 | 8% |
Other | 37 | 21% |
Unknown | 24 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 111 | 62% |
Engineering | 10 | 6% |
Agricultural and Biological Sciences | 8 | 4% |
Nursing and Health Professions | 7 | 4% |
Computer Science | 3 | 2% |
Other | 10 | 6% |
Unknown | 29 | 16% |