ArticleCureus2024
A Novel Scoring System for Assessing In-Hospital Mortality Risk in Patients With Liver Cirrhosis.
Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background Mortality among patients with liver cirrhosis has recently increased in Indonesia. However, predicting the prognosis of patients hospitalized with liver cirrhosis remains a clinical challenge due to its variability and dependence on multiple factors. A simple and accurate method is required to identify high-risk patients. This study aims to build a predictive scoring system of in-hospital mortality in patients hospitalized with liver cirrhosis for clinical application. Methods A retrospective cohort study was done to collect data on patients with liver cirrhosis from November 2021 to January 2022. The study involved 110 patients hospitalized with liver cirrhosis. A multivariate regression analysis was performed to identify factors predicting in-hospital mortality. Each variable's score was determined by applying the (B/SE)/lowest B/SE formula. The overall probability was calculated using the equation 1/1+exp(-y). Analysis of area under the curve (AUC) was conducted to evaluate the sensitivity and specificity of the scoring system. Results A total of 52 patients (47.3%) died during hospitalization. The median age of the patient was 54.5 (30-82). A final model involving the presence of hepatic encephalopathy (HE) (p = 0.001), ascites (p = 0.025), diabetes mellitus type II (p = 0.003), acute kidney injury (p = 0.017), alanine transaminase (ALT) ≥ 68 (p = 0.001), creatinine level ≥ 1.25 (p = 0.011), and abnormal international normalized ratio (INR) (p = 0.047). The "ADRECIA" score was developed, consisting of ascites, type II diabetes mellitus, renal injury, hepatic encephalopathy, creatinine serum, INR, and ALT. The presence of HE and ALT ≥68 was scored as two, and the rest variables were scored as one. The best-discriminating value was at a cut-off point ≥ 2.5, with a sensitivity of 90.4%, and a specificity of 74.1%, and an AUC of 0.913 (95%CI: 0.862-0.964). The scoring system was categorized as low risk (score of zero to three) with a 1.4-43.6% probability of death and high risk (score of 4-9) with 74.7-99.9% probability of death. Conclusion This scoring system provides good accuracy in predicting in-hospital mortality in patients with liver cirrhosis. Therefore, treatment can be modified according to the score to reduce mortality rates.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.