REACT Score, a Novel Scoring System, Improves the Prediction of Non‐Elective Readmissions in Patients With Decompensated Cirrhosis

BACKGROUND AND AIM: One third of patients with cirrhosis experience an early readmission, and predicting such an event is challenging. We developed and validated a scoring system to predict non-elective readmissions in patients with cirrhosis. METHODS: An observational and multicenter retrospective study enrolled 1382 consecutive non electively admitted patients with cirrhosis and acute decompensation from 20 centers in Spain and were categorized as derivation and validation cohorts. The cohorts were followed for 90 days after discharge. RESULTS: The rate of 7-day, 30-day and 90-day readmission was 5.3%, 19.9% and 36.7%, respectively, while 12.3% of patients died during the study. History of decompensation [HR 1.31 (95% CI 1.04-1.64); p = 0.022], Charlson index [HR 1.08 (95% CI 1.02-1.14); p = 0.012], large-volume paracentesis [HR 1.37 (95% CI 1.09-1.73); p = 0.007], INR [HR 1.52 (95% CI 1.17-1.97); p = 0.001] and bilirubin [HR 1.03 (95% CI 1.001-1.05); p = 0.045] at prior discharge were associated with early readmission. REACT score distinguished patients at high versus low risk of readmission: (a) derivation cohort 19.6% vs. 0% for 7-day, 70.6% vs. 2.5% for 30-day, 91.1% vs. 20.2% for 90-day; (b) internal validation 20.6% vs. 0% for 7-day, 58.8% vs. 0.5% for 30-day, 72.1% vs. 11.8% for 90-day; (c) external validation 5.8% vs. 0% for 7-day, 24.6% vs. 0% for 30-day, 44.2% vs. 12% for 90-day. Also, high-risk patients were more likely to be readmitted before their scheduled follow-up appointment (51.9% vs. 5.7%). CONCLUSIONS: Cirrhosis readmission rate was 20% within the first 30 days after discharge. REACT score effectively predicted the risk of non-elective readmission in patients with decompensated cirrhosis. Prospective studies are needed to fully assess the usefulness of this scoring system in predicting non-elective readmissions and in developing strategies to prevent them.

Authors

Institutions

Publication Details

Journal
Liver International
Published
2026-04-14
DOI
https://doi.org/10.1111/liv.70639
Primary Topic
Liver Disease and Transplantation
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

REACT Score, a Novel Scoring System, Improves the Prediction of Non‐Elective Readmissions in Patients With Decompensated Cirrhosis

Carmen Sendra, Matías Estévez, Manuel Romero‐Gómez, K. Rajender Reddy et al.
Liver International
Liver Disease and Transplantation
article

REACT Score, a Novel Scoring System, Improves the Prediction of Non‐Elective Readmissions in Patients With Decompensated Cirrhosis

Carmen Sendra, Matías Estévez, Manuel Romero‐Gómez, K. Rajender Reddy, Javier Ampuero, C. Jimeno, Gema Romero, José Miguel Rosales Zábal, Ángeles López-Garrido, Virginia Aguilera, Yolanda Sánchez‐Torrijos, Pilar del Pino, Paula Álvarez, J. Sánchez, Macías Rodríguez, María Pilar Ballester, Eva Román, Luis Ibañez-Samaniego, Marta Casado, Miren García-Cortés, Miguel Jiménez‐Pérez, Javier Zamora, Ana Torres‐Domínguez, Germán Santamaría, Laura Castillo, Alberto García‐García, Manuel Rodríguez‐Perálvarez, Isabel Carmona
article en

Abstract

BACKGROUND AND AIM: One third of patients with cirrhosis experience an early readmission, and predicting such an event is challenging. We developed and validated a scoring system to predict non-elective readmissions in patients with cirrhosis. METHODS: An observational and multicenter retrospective study enrolled 1382 consecutive non electively admitted patients with cirrhosis and acute decompensation from 20 centers in Spain and were categorized as derivation and validation cohorts. The cohorts were followed for 90 days after discharge. RESULTS: The rate of 7-day, 30-day and 90-day readmission was 5.3%, 19.9% and 36.7%, respectively, while 12.3% of patients died during the study. History of decompensation [HR 1.31 (95% CI 1.04-1.64); p = 0.022], Charlson index [HR 1.08 (95% CI 1.02-1.14); p = 0.012], large-volume paracentesis [HR 1.37 (95% CI 1.09-1.73); p = 0.007], INR [HR 1.52 (95% CI 1.17-1.97); p = 0.001] and bilirubin [HR 1.03 (95% CI 1.001-1.05); p = 0.045] at prior discharge were associated with early readmission. REACT score distinguished patients at high versus low risk of readmission: (a) derivation cohort 19.6% vs. 0% for 7-day, 70.6% vs. 2.5% for 30-day, 91.1% vs. 20.2% for 90-day; (b) internal validation 20.6% vs. 0% for 7-day, 58.8% vs. 0.5% for 30-day, 72.1% vs. 11.8% for 90-day; (c) external validation 5.8% vs. 0% for 7-day, 24.6% vs. 0% for 30-day, 44.2% vs. 12% for 90-day. Also, high-risk patients were more likely to be readmitted before their scheduled follow-up appointment (51.9% vs. 5.7%). CONCLUSIONS: Cirrhosis readmission rate was 20% within the first 30 days after discharge. REACT score effectively predicted the risk of non-elective readmission in patients with decompensated cirrhosis. Prospective studies are needed to fully assess the usefulness of this scoring system in predicting non-elective readmissions and in developing strategies to prevent them.

Liver InternationalVol. 46(5)
Hospital of the University of Pennsylvania (US), Hospital de Sant Pau (ES), Hospital General Universitario Gregorio Marañón (ES), Hospital Costa del Sol (ES), Hospital Universitario Virgen Macarena (ES), Instituto Maimónides de Investigación Biomédica de Córdoba (ES), Hospital Clínico Universitario de Valencia (ES), Centro de Investigación Biomédica en Red (ES), Hospital Universitario Virgen de las Nieves (ES), Complejo Hospitalario de Jaén (ES), Hospital Juan Ramón Jiménez (ES), Instituto de Biomedicina de Sevilla (ES), Hospital Universitario Puerto Real (ES), Hospital Universitario Puerta del Mar (ES), Hospital Universitario de Valme (ES), Andalusian Centre for Nanomedicine and Biotechnology (ES), Complejo Hospitalario Torrecárdenas (ES), Hospital Universitario Virgen del Rocío (ES), Hospital Clínico Universitario Virgen de la Victoria (ES), Instituto de Investigación Biomédica de Málaga (ES), Universidad de Sevilla (ES), Universidad de Málaga (ES)
Instituto de Salud Carlos III
Partnerships for the goals
Openalex Percentile: Top 30%
Liver Disease and Transplantation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.