| Literature DB >> 25332709 |
Guo Chen1, Yunxia Zuo2, Lei Yang2, Elena Chung3, Maxime Cannesson3.
Abstract
Hemodynamic monitoring and optimization improve postoperative outcome during high-risk surgery. However, hemodynamic management practices among Chinese anesthesiologists are largely unknown. This study sought to evaluate the current intraoperative hemodynamic management practices for high-risk surgery patients in China. From September 2010 to November 2011, we surveyed anesthesiologists working in the operating rooms of 265 hospitals representing 28 Chinese provinces. All questionnaires were distributed to department chairs of anesthesiology or practicing anesthesiologists. Once completed, the 29-item questionnaires were collected and analyzed. Two hundred and 10 questionnaires from 265 hospitals in China were collected. We found that 91.4% of anesthesiologists monitored invasive arterial pressure, 82.9% monitored central venous pressure (CVP), 13.3% monitored cardiac output (CO), 10.5% monitored mixed venous saturation, and less than 2% monitored pulse pressure variation (PPV) or systolic pressure variation (SPV) during high-risk surgery. The majority (88%) of anesthesiologists relied on clinical experience as an indicator for volume expansion and more than 80% relied on blood pressure, CVP and urine output. Anesthesiologists in China do not own enough attention on hemodynamic parameters such as PPV, SPV and CO during fluid management in high-risk surgical patients. The lack of CO monitoring may be attributed largely to the limited access to technologies, the cost of the devices and the lack of education on how to use them. There is a need for improving access to these technologies as well as an opportunity to create guidelines and education for hemodynamic optimization in China.Entities:
Keywords: China; fluid responsiveness; hemodynamic management; high risk surgery patients
Year: 2014 PMID: 25332709 PMCID: PMC4197388 DOI: 10.7555/JBR.28.20130197
Source DB: PubMed Journal: J Biomed Res ISSN: 1674-8301
Basic characteristics of anesthesiologists and hospitals in China
| Anesthesiologists (n = 210) | |
| Male/female (n) | 156/54 |
| Age, years (mean ± SD) | 43 ± 15 |
| Positions | |
| Professor (n/%) | 90/43 |
| Associate professor (n/%) | 113/54 |
| Attending (n/%) | 7/3 |
| Work experience in anesthesiology | |
| <5 yr (n/%) | 3/1 |
| 5–10 yr (n/%) | 67/32 |
| >10 yr (n/%) | 140/67 |
| Hospitals (n = 210) | |
| Large academic teaching hospitals and non-teaching hospitals (n/%) | 97/46 |
| Middle academic teaching hospitals and non-teaching hospitals (n/%) | 113/54 |
| Location | |
| North (n/%) | 36/17 |
| South (n/%) | 45/21 |
| East (n/%) | 55/26 |
| West (n/%) | 74/35 |
Large academic teaching hospitals and non-teaching hospitals: more than 500 beds
Middle academic teaching hospitals and non-teaching hospitals: between 100 beds and 500 beds
Fig. 1Incidence of institutional guidelines concerning hemodynamic management in this setting.
Fig. 2Do you or your department/group manage these patients in the intensive care unit?
Hemodynamic monitoring of high risk surgery patients in China
| Anesthesiologists (n = 210) | |
| Non invasive arterial pressure | 140/66.7% |
| Invasive arterial pressure | 192/91.4% |
| Central venous pressure | 174/82.9% |
| Global end diastolic volume | 6/2.9% |
| Transesophageal echocardiography | 28/13.3% |
| Cardiac output | 28/13.3% |
| Pulmonary capillary wedge pressure | 24/11.4% |
| Venous saturation (SvO2) | 22/10.5% |
| Mixed venous saturation (ScvO2) | 30/14.3% |
| Near infrared spectroscopy | 6/2.9% |
| Oxygen delivery (DO2) | 14/6.7% |
| Pulse pressure variation or systolic pressure variation | 4/1.9% |
| Stroke volume variation | 6/2.9% |
Results given as n/%
Fig. 3How frequently do you try to optimize central venous pressure, arterial pressure and cardiac output intraoperatively in this setting?
Technique used to monitor cardiac output
| Anesthesiologists (n = 210) | |
| Swan Ganz catheter | 59/28.1% |
| Esophageal doppler | 8/3.8% |
| Vigileo monitor | 3/1.4% |
| PiCCO monitor | 36/17.1% |
| LiDCO monitor | 3/1.4% |
| Thoracic bioimpedance | 3/1.4% |
| Transesophageal echocardiography | 48/22.9% |
| Other | 2/1.0% |
Results given as n/%
Main reasons for not monitoring cardiac output
| Anesthesiologists (n = 210) | |
| I use dynamic parameters of fluid responsiveness (pulse pressure variations, systolic pressure variations, plethysmographic waveform variations) as surrogates for cardiac output monitoring | 51/24.3% |
| Available cardiac output monitoring solutions are too invasive | 60/28.6% |
| Cardiac output monitoring does not provide any additional clinically relevant information in this setting | 12/5.7% |
| I use SvO2 and/or ScVO2 as surrogates for cardiac output monitoring | 30/14.3% |
| Available cardiac output monitoring solutions are unreliable | 9/4.3% |
Results given as n/%
Indicators for volume expansion (diagnostic tools)
| Anesthesiologists (n = 210) | |
| Clinical experience | 186/88.6% |
| Blood pressure | 201/95.7% |
| Pulse pressure variation or systolic pressure variation | 27/12.9% |
| Stroke volume variation | 9/4.3% |
| Central venous pressure | 180/85.7% |
| Global end diastolic volume | 9/4.3% |
| Urine output | 171/81.4% |
| Transesophageal echocardiography | 18/8.6% |
| Cardiac output | 18/8.6% |
| Pulmonary capillary wedge pressure | 12/5.7% |
| Venous saturation (SvO2) | 18/8.6% |
| Mixed venous saturation (ScvO2) | 21/10.0% |
| Plethysmographic waveform variations | 2/1.0% |
Results given as n/%
Fig. 4Top choice for volume expansion
Hemodynamic monitoring used for the management of high-risk surgery patients
| Answer options | ASA Respondents (n = 237) | ESA respondents (n = 195) | China respondents (n = 210) | |
| Response percent | ||||
| Invasive arterial pressure | 95.4% | 89.7% | 91.4% | 0.066 |
| Central venous pressure | 72.6% | 83.6% | 82.9% | 0.007 |
| Non-invasive arterial pressure | 51.9% | 53.8% | 66.7% | 0.003 |
| Cardiac output | 35.4% | 34.9% | 13.3% | 0.000 |
| Pulmonary capillary wedge pressure | 30.8% | 14.4% | 11.4% | 0.000 |
| Tranesophageal echocardiography | 28.3% | 19.0% | 13.3% | 0.000 |
| Systolic pressure variation | 20.3% | 23.6% | 1.9% | 0.000 |
| Plethysmographic waveform variation | 17.3% | 17.9% | - - - - - - | |
| Pulse pressure variation | 15.2% | 25.6% | 1.9% | 0.000 |
| Mixed venous saturation (ScvO2) | 14.3% | 15.9% | 14.3% | 0.876 |
| Central venous saturation (SvO2) | 12.7% | 33.3% | 10.5% | 0.000 |
| Oxygen delivery (DO2) | 6.3% | 14.4% | 6.7% | 0.008 |
| Stroke volume variation | 6.3% | 21.5% | 2.9% | 0.000 |
| Near infrared spectroscopy | 4.6% | 5.1% | 2.9% | 0.484 |
| Global end diastolic volume | 2.1% | 8.2% | 2.9% | 0.006 |
Data for ASA and ESA surveys obtained from previously published work[29]