Title |
Increased concentrations of Serum amyloid A in dogs with sepsis caused by pyometra
|
---|---|
Published in |
BMC Veterinary Research, November 2014
|
DOI | 10.1186/s12917-014-0273-9 |
Pubmed ID | |
Authors |
Supranee Jitpean, Ann Pettersson, Odd V Höglund, Bodil Ström Holst, Ulf Olsson, Ragnvi Hagman |
Abstract |
Sepsis is a serious and potentially life-threatening condition and early diagnosis and appropriate treatment is crucial for survival. Pyometra is one of the most common diseases in intact female dogs. The disease often leads to sepsis (systemic inflammatory response syndrome, SIRS, caused by infection). Diagnostic markers for detecting sepsis are gaining increasing interest in veterinary medicine. Acute phase proteins (APPs) such as C-reactive protein (CRP) are useful for detecting systemic inflammation in dogs. Serum amyloid A (SAA) is another major APP in dogs that is not yet as widely used. Albumin is regarded as a negative APP and has earlier been evaluated for prediction of prognosis in septic dogs. The aim of the present study was to determine SAA, CRP and albumin concentrations in dogs with sepsis and pyometra and to evaluate whether these inflammatory markers are associated with length of postoperative hospitalization. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 81 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 15 | 19% |
Student > Bachelor | 9 | 11% |
Researcher | 6 | 7% |
Student > Ph. D. Student | 6 | 7% |
Other | 5 | 6% |
Other | 14 | 17% |
Unknown | 26 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Veterinary Science and Veterinary Medicine | 29 | 36% |
Medicine and Dentistry | 15 | 19% |
Agricultural and Biological Sciences | 5 | 6% |
Biochemistry, Genetics and Molecular Biology | 2 | 2% |
Economics, Econometrics and Finance | 1 | 1% |
Other | 3 | 4% |
Unknown | 26 | 32% |