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Published on: November 27, 2019
Fungal Infection in Acutely Decompensated Cirrhosis Patients: Value of Model for End-Stage Liver Disease Score
Shahid Habib1, Sandeep Yarlagadda2, Teresia A Carreon1
1Liver Institute PLLC, 5295 E. Knight Dr, Tucson, AZ 85712, USA.
Background:
Infection in acute-on-chronic liver failure (ACLF) patients is known to cause higher mortality. The current approach is to culture all patient samples. There are no published data evaluating fungal infections in acutely decompensated patients. In this study, we aim to identify clinical factors predictive of infections within ACLF patients and assess workup compliance within 24 h of hospital admission.
Methods:
We retrospectively analyzed the charts of 457 ACLF patients seen at the University of Arizona between January 1, 2014 and December 31, 2014. We used logistic regression to identify potential risk indicators for bacterial, fungal, and any infections. In order to proceed to a systemic infection workup, the following parameters were assessed: complete blood count, urinalysis, urine culture, bacterial blood culture, chest X-ray, and ascitic fluid analysis in patients with ascites. Additionally, serological markers were also assessed in patient samples. Systemic inflammatory response syndrome (SIRS) was defined as the presence of two or more of the following criteria: temperature > 38 °C or < 36 °C, heart rate > 90 beats/min, respiratory rate > 20 breaths/min, white blood cell count > 12,000 or < 4,000 cells/mm or > 10% bands.
Results:
An established infection was observed in 60.61% of ACLF patients. SIRS criteria predicted infections with concordance statistic (C-statistic) of 0.71 (odds ratio (OR) 6.85, 95% confidence interval (CI): 4.33, 10.85) for any infection, 0.63 (OR 2.88, 95% CI: 1.96, 4.23) for bacterial infection, and 0.53 (OR 1.32, 95% CI: 0.59, 2.96) for fungal infection. After including other significant variables (over 10 additional variables), predictive ability improved, C-statistic 0.83 (95% CI: 0.77, 0.90) for any infection and 0.71 (95% CI: 0.65, 0.77) for bacterial infections. The combination of model for end-stage liver disease (MELD) and hemoglobin (Hb) predicted fungal infections with C-statistic 0.74 (95% CI: 0.63, 0.84). Workup within 24 h of admission was obtained in 12% of patients.
Conclusions:
Fungal infections in ACLF patients results in an increased mortality rate. Elevated MELD and low Hb in combination predict fungal infections. Compliance is very poor to obtain diagnostic workup efficiently, better tools are needed to predict infection upon admission.
Insights
Fungal infections significantly increase mortality in acute-on-chronic liver failure (ACLF) patients. A combination of elevated Model for End-Stage Liver Disease (MELD) and low hemoglobin (Hb) effectively predicts fungal infections in ACLF.
Area of Science:
- Hepatology
- Infectious Diseases
- Critical Care Medicine
Background:
- Infections in acute-on-chronic liver failure (ACLF) patients are associated with increased mortality.
- Limited data exist on fungal infections in acutely decompensated liver patients.
- This study aims to identify predictors of infection and assess diagnostic workup compliance in ACLF.
Purpose of the Study:
- To identify clinical factors predicting infections in ACLF patients.
- To evaluate the accuracy of Systemic Inflammatory Response Syndrome (SIRS) criteria in predicting infections.
- To assess compliance with timely diagnostic workup upon hospital admission.
Main Methods:
- Retrospective analysis of 457 ACLF patients.
- Logistic regression used to identify risk indicators for bacterial, fungal, and overall infections.
- Assessment of complete blood count, urinalysis, cultures, chest X-ray, ascitic fluid analysis, and serological markers.
- SIRS criteria defined by temperature, heart rate, respiratory rate, and white blood cell count.
Main Results:
- 60.61% of ACLF patients had an established infection.
- SIRS criteria showed moderate predictive ability for any and bacterial infections, but low predictive ability for fungal infections.
- Including additional variables improved prediction for any infection (C-statistic 0.83) and bacterial infections (C-statistic 0.71).
- The combination of Model for End-Stage Liver Disease (MELD) and hemoglobin (Hb) predicted fungal infections with a C-statistic of 0.74.
- Only 12% of patients received diagnostic workup within 24 hours of admission.
Conclusions:
- Fungal infections contribute to increased mortality in ACLF patients.
- Elevated MELD score and low hemoglobin levels are predictive of fungal infections.
- Poor compliance with timely diagnostic workup necessitates better predictive tools for early infection detection upon admission.
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