| Title |
Spontaneous peritonitis in critically ill cirrhotic patients: a diagnostic algorithm for clinicians and future perspectives
|
|---|---|
| Published in |
Therapeutics and Clinical Risk Management, October 2017
|
| DOI | 10.2147/tcrm.s144262 |
| Pubmed ID | |
| Authors |
Marco Fiore, Alberto Enrico Maraolo, Sebastiano Leone, Ivan Gentile, Arturo Cuomo, Vincenzo Schiavone, Sabrina Bimonte, Maria Caterina Pace, Marco Cascella |
| Abstract |
Spontaneous peritonitis (SP) is the most common infection among decompensated end-stage liver disease patients. SP is the infection of ascitic fluid (neutrophil ascitic count ≥250/mL) without an alternative focus of abdominal infection. According to the causative agent, clinicians can make the diagnosis of spontaneous bacterial peritonitis or spontaneous fungal peritonitis. The mortality rate is very high, ranging from one-fifth of the patients with spontaneous bacterial peritonitis to four-fifths of the patients with spontaneous fungal peritonitis. An immediate and accurate diagnosis can improve the outcome in end-stage liver disease patients. The aim of this work is to provide physicians with a practical diagnostic guidance for SP diagnosis according to current evidence, in order to improve the management of cirrhotic patients with infected ascitic fluid. |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 7 | 26% |
| Student > Master | 4 | 15% |
| Student > Bachelor | 3 | 11% |
| Student > Doctoral Student | 1 | 4% |
| Researcher | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 9 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 37% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 7% |
| Biochemistry, Genetics and Molecular Biology | 2 | 7% |
| Business, Management and Accounting | 1 | 4% |
| Unknown | 12 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 December 2017.
All research outputs
#22,764,772
of 25,382,440 outputs
Outputs from Therapeutics and Clinical Risk Management
#1,204
of 1,323 outputs
Outputs of similar age
#291,092
of 331,218 outputs
Outputs of similar age from Therapeutics and Clinical Risk Management
#29
of 31 outputs
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We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.