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Background and aims:
Acute liver failure (ALF) is a rare disease entity with a high mortality. Management is dependent on accurate prognostication.
Materials and methods:
One hundred consecutive patients presenting with ALF were prospectively evaluated. The King's college criteria (KCC), ALF early dynamic model (ALFED), sequential organ failure...
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Citations
... Though the ALFED derivation cohort did include adolescents, it has not been validated in children. Saluja et al. compared the diagnostic accuracy of the ALFED score to other prognostic scores in a cohort of 100 ALF cases, which also included adolescents with predominantly viral etiology and found it to be superior to both KCC and the MELD criteria with better specificity [10]. ...
... These scores are then repeated at various intervals to assess the progression or resolution of the underlying condition. Thus, we can objectively assess those who will recover with supportive care only (lower priority for transplant listing or delisting) and those who are clinically worsening and thus need to be listed for an LT [86]. ...
Viral infections are among the major causes of acute liver failure (ALF) worldwide. While the role of agents such as hepatitis A, B, C, D and E viruses in precipitating ALF are well known, improvements in serological assays have led to the detection of viral agents such as Epstein Barr virus, cytomegalovirus etc. as atypical causes of ALF. Despite the plethora of literature available on viral hepatitis and ALF, there is very limited large-scale epidemiologic data on the prevalence, risk factors of progression and outcomes in ALF of viral causes. This is important as viral infections remain the leading cause of ALF in the East and in developing countries, while the impact of viral ALF in the West has largely been ameliorated by effective vaccination and sanitization programs. This review focuses specifically on the available prognostic scores that aid in the management of ALF of viral etiologies while also briefly reviewing the current literature on newer viral agents known to cause ALF, risk factors of progression, outcomes and how management algorithms can be developed by incorporation of prognostic scoring systems for referral and transplant listing.
... Some authors tried to evaluate the ICU scores due to these aspects. Acute Physiology and Chronic Health Evaluation (APACHE II) [56,79,80], Acute Liver Failure Study Group (ALFSG) index [56,81], Sequential Organ Failure Assessment (SOFA) [41,80], pediatric Chronic LIver Failure Sequential Organ Failure Assessment (pCLIF-SOFA) [29], Pediatric RISk of Mortality (PRISM) [30], Pediatric Index of Mortality (PIM) [82], Acute Liver Failure Early Dynamic (ALFED) model [11,83], and Simplified Acute Physiology Score III (SAPS III) [17,84] were analyzed in various studies. Still, the heterogeneity of the cohorts and results make it difficult to support that they are a better predictor than MELD or KCC in ALF patients [30]. ...
Objectives:
In children, acute liver failure (ALF) is a severe condition with high mortality. As some patients need liver transplantation (LT), it is essential to predict the fatal evolution and to refer them early for LT if needed. Our study aimed to evaluate the prognostic criteria and scores for assessing the outcome in children with ALF.
Methods:
Data of 161 children with ALF (54.66% female, mean age 7.66 ± 6.18 years) were analyzed based on final evolution (32.91% with fatal evolution or LT) and etiology. We calculated on the first day of hospitalization the PELD score (109 children), MELD, and MELD-Na score (52 children), and King's College Criteria (KCC) for all patients. The Nazer prognostic index and Wilson index for predicting mortality were calculated for nine patients with ALF in Wilson's disease (WD).
Results:
PELD, MELD, and MELD-Na scores were significantly higher in patients with fatal evolution (21.04 ± 13.28 vs. 13.99 ± 10.07, p = 0.0023; 36.20 ± 19.51 vs. 20.08 ± 8.57, p < 0.0001; and 33.07 ± 8.29 vs. 20.08 ± 8.47, p < 0.0001, respectively). Moreover, age, bilirubin, albumin, INR, and hemoglobin significantly differed in children with fatal evolution. Function to etiology, PELD, MELD, MELD-Na, and KCC accurately predicted fatal evolution in toxic ALF (25.33 vs. 9.90, p = 0.0032; 37.29 vs. 18.79, p < 0.0001; 34.29 vs. 19.24, p = 0.0002, respectively; with positive predicting value 100%, negative predicting value 88.52%, and accuracy 89.23% for King's College criteria). The Wilson index for predicting mortality had an excellent predictive strength (100% sensibility and specificity), better than the Nazer prognostic index.
Conclusions:
Prognostic scores may be used to predict the fatal evolution of ALF in children in correlation with other parameters or criteria. Early estimation of the outcome of ALF is essential, mainly in countries where emergency LT is problematic, as the transfer to a specialized center could be delayed, affecting survival chances.
Acute liver failure (ALF) is a major success story in gastroenterology, with improvements in critical care and liver transplant resulting in significant improvements in patient outcomes in the current era compared to the dismal survival rates in the pretransplant era. However, the ever-increasing list of transplant candidates and limited organ pool makes judicious patient selection and organ use mandatory to achieve good patient outcomes and prevent organ wastage. Several scoring systems exist to facilitate the identification of patients who need a liver transplant and would therefore need an early referral to a specialized liver unit. The timing of the liver transplant is also crucial as transplanting a patient too early would lead to those who would recover spontaneously receiving an organ (wastage), and a late decision might result in the patient becoming unfit for transplant (delisted) or have an advanced disease which would result in poor post-transplant outcomes. The current article reviews the indications and contraindications of liver transplant in ALF patients, the various prognostic scoring systems, etiology-specific outcomes, prioritization and timing of referral.
Introduction:
Acute liver failure (ALF) is a devastating disease, and patients are at a higher risk of death without liver transplantation. Indicators are needed to identify the risk of death in ALF, which will help in the timely referral of patients to specialized centers. Clichy criteriaand King's College Hospital (KCH) criteria are the most widely used prognostic criteria. Real-life application of Clichy criteria is limited due to the non-availability of factor V level measurement. KCH criteria have good specificity but low sensitivity to predict outcomes. Therefore, we attempted to use the model for end-stage liver disease (MELD) score and chronic liver failure-sequential organ failure assessment (CLIF-SOFA) score in ALF patients as prognostic indicators and need for liver transplantation.
Methods:
Forty-one patients with ALF were enrolled in the study. On the day of admission, MELD and CLIF-SOFA scores were calculated for each patient. Area under receiver operating characteristics (AUROC) curve, sensitivity, specificity, negative predictive value (NPV), positive predictive value (PPV), and diagnostic accuracy (DA) of MELD and CLIF-SOFA score were calculated to predict the outcome of the patients.
Results:
Out of 41 patients, nine patients left against medical advice. The sensitivity, specificity, PPV, NPV, and DA for the MELD score of enrolled patients in the study were 81.5%, 62.5%, 59.5%, 83.3%, 70.1%, and for the CLIF-SOFA score of enrolled patients in the study were 88.9%, 90.0%, 85.7%, 92.3%, 89.6% respectively. Patients who did not survive had higher INR, MELD, CLIF-SOFA scores, and hepatic encephalopathy (HE) grades. Five patients who had a combination of MELD ≥30 and CLIF-SOFA ≥10, expired.
Conclusion:
In our study, we used MELD score and CLIF-SOFA as prognostic markers, and we concluded that CLIF-SOFA is a better predictor of mortality than MELD score in terms of sensitivity, specificity, NPV, PPV, and diagnostic accuracy. AUROC for CLIF-SOFA score is higher when compared to the MELD score.
Objective
Pediatric acute liver failure (PALF) is a heterogeneous, rare, and severe condition, which outcome is survival due to liver spontaneous recovery or death. The patients who do not recover may be allocated to liver transplantation, which is the standard treatment. This study aimed to build a prognostic model to support the clinical decision to indicate liver transplantation for patients with PALF in a Brazilian center.
Methods
The authors retrospectively analyzed the clinical variables of 120 patients in the liver transplantation program of the 'Children's Institute of the University of São Paulo, Brazil. The authors conducted a univariate analysis of variables associated with survival in PALF. Logistic multivariate analysis was performed to find a prognostic model for the outcome of patients with pediatric acute liver failure.
Results
Risk factors were analyzed using univariate analysis. Two prognostic models were built using multiple logistic regression, which resulted in 2 models: model 1(INR/ALT) and model 2 (INR/Total bilirubin). Both models showed a high sensitivity (97.9%/96.9%), good positive predictive value (89.5%/90.4%), and accuracy (88.4%/88.5%), respectively. The receiver operating characteristic was calculated for both models, and the area under the curve was 0.87 for model 1 and 0.88 for model 2. The Hosmer-Lemeshow test showed that model 1 was good.
Conclusion
The authors built a prognostic model for PALF using INR and ALT that can contribute to the clinical decision to allocate patients to liver transplantation.
