| Title |
Cerebral Oxygenation Is Highly Sensitive to Blood Pressure Variability in Sick Preterm Infants
|
|---|---|
| Published in |
PLOS ONE, August 2012
|
| DOI | 10.1371/journal.pone.0043165 |
| Pubmed ID | |
| Authors |
Flora Y. Wong, Reshma Silas, Simon Hew, Thilini Samarasinghe, Adrian M. Walker |
| Abstract |
The significance of blood pressure variability (BPV) for cerebral oxygenation in extremely preterm infants has not been explored, though BPV may well be associated with end organ injury. We hypothesized that increased BPV in sick preterm infants, by exceeding the cerebral autoregulatory capacity, is associated with cerebral oxygenation changes which closely follow the blood pressure fluctuations. We assessed the autoregulatory capacity in the early postnatal period, by determining the correlation between BPV (mmHg(2)) and coherence of mean arterial blood pressure (MABP mmHg) and cerebral oxygenation (tissue oxygenation index, TOI %). |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 33% |
| Egypt | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Unknown | 60 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 20% |
| Researcher | 10 | 16% |
| Other | 7 | 11% |
| Student > Master | 7 | 11% |
| Student > Bachelor | 5 | 8% |
| Other | 11 | 18% |
| Unknown | 9 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 34 | 56% |
| Neuroscience | 2 | 3% |
| Engineering | 2 | 3% |
| Physics and Astronomy | 2 | 3% |
| Business, Management and Accounting | 1 | 2% |
| Other | 7 | 11% |
| Unknown | 13 | 21% |