Related Experiment Video
Updated: Feb 13, 2026

Patient-Derived Tumor Explants As a "Live" Preclinical Platform for Predicting Drug Resistance in Patients
Published on: February 7, 2021
Predicting mortality in patients with spontaneous bacterial peritonitis using routine inflammatory and biochemical
Raim Iliaz1, Tahsin Ozpolat2, Bulent Baran3
1Department of Gastroenterology, Istanbul School of Medicine, Istanbul University.
Spontaneous bacterial peritonitis (SBP) in cirrhosis patients has high 30-day mortality. Inflammatory markers and Model for End-Stage Liver Disease (MELD) scores can predict mortality in SBP patients.
Area of Science:
- Hepatology
- Infectious Diseases
- Critical Care Medicine
Background:
- Spontaneous bacterial peritonitis (SBP) is a frequent and lethal infectious complication in patients with cirrhosis.
- Identifying predictors of mortality is crucial for managing SBP.
Purpose of the Study:
- To determine the 30-day mortality rate of SBP.
- To identify predictors of 30-day mortality in SBP patients.
Main Methods:
- A study enrolled 70 patients with cirrhosis and SBP and 55 controls.
- Mortality rates and predictors were evaluated, including inflammatory markers and Model for End-Stage Liver Disease (MELD) scores.
Main Results:
- 30-day mortality for SBP was 26.1%, with higher rates than controls.
- High serum neutrophil counts, neutrophil-lymphocyte ratio, C-reactive protein (CRP)/albumin ratio, and MELD scores predicted higher 30-day mortality.
- Optimal MELD score cutoff was 20.5 (83.3% sensitivity, 80.4% specificity).
Conclusions:
- SBP is associated with significant 30-day mortality.
- MELD scores and inflammatory markers (CRP, CRP/albumin ratio, neutrophil-lymphocyte ratio) are valuable predictors of mortality in SBP.
Related Concept Videos
Spontaneity
Predicting Molecular Geometry
Inflammatory Response
Inflammation can be triggered by various stimuli, such as impact, abrasion, chemical irritation, infections, and extreme hot or cold temperatures. These can damage cells and connective tissue fibers,...
Peritoneal Dialysis II: Peritoneal Dialysis Systems and Complications
Inflammatory Response II: Inflammatory Exudate and Tissue Repair
The typical wound exudate is odorless, transparent, straw-colored, thin, and watery. Exudate, however, can differ depending on the state of wound healing. Likewise, the...
Prediction Intervals
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.

