Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology · 2026
Platelet count, liver and spleen stiffness-based model reliably identifies esophageal varices needing treatment in acute-on-chronic liver failure.
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Vashishtha Chitranshu, Bhardwaj Ankit, Pasupuleti Samba Siva Rao, Prasad Manya, Vijayaraghavan Rajan, Jindal Ankur, Laroia Shalini Thapar, Sharma Manoj Kumar, Sarin Shiv Kumar
Аннотация
BACKGROUND AND OBJECTIVES: Transient elastography of liver and spleen, along with platelet count, identify cirrhosis patients with esophageal varices needing treatment (VNT). Inflammation can drive rapid rise in portal pressure and development and progression of varices in acute-on-chronic liver failure (ACLF) patients. We aimed at developing a non-invasive model to predict VNT in ACLF patients.
METHODS: Baseline liver stiffness measurement (LSM) and spleen stiffness measurement (SSM) were done using Fibroscan 630 Expert and esophagogastroduodenoscopy was performed to detect VNT. Varices with red color signs or large size were considered VNT. A model was developed and validated. Decision curve analysis (DCA) was used to assess net benefit (NB) of model at different threshold probabilities.
RESULTS: Of the 216 patients analyzed (males 95.4%, mean age 42.2 yr, model for end-stage liver disease [MELD] score 25.5, alcohol etiology 83.4%), 104 (48.14%) had VNT. Patients with VNT had higher SSM (kPa) (76.71 ± 17.54 vs. 60.56 ± 20.21, p = 0.006), LSM (kPa) (71.96 ± 6.87 vs. 61.93 ± 17.76, p = 0.001) and lower platelet count (103 /µl) (91.73 ± 17.71 vs. 126.94 ± 42.97, p < 0.001). A model incorporating these parameters had an area under the receiver operating characteristic (AUROC) of 0.842 and could spare esophagogastroduodenoscopy in 34.3% of patients with missing VNT rate of 4.8%. The results were internally validated by bootstrap analysis. On DCA, NB of model was higher for threshold probabilities range 0.07 to 0.8. The model had good calibration with Brier score of 0.15. It performed well in alcohol and non-alcohol related causes with AUROCs of 0.830 and 0.884, respectively.
CONCLUSION: A model comprising SSM, LSM and platelet count identifies VNT non-invasively in ACLF patients.
METHODS: Baseline liver stiffness measurement (LSM) and spleen stiffness measurement (SSM) were done using Fibroscan 630 Expert and esophagogastroduodenoscopy was performed to detect VNT. Varices with red color signs or large size were considered VNT. A model was developed and validated. Decision curve analysis (DCA) was used to assess net benefit (NB) of model at different threshold probabilities.
RESULTS: Of the 216 patients analyzed (males 95.4%, mean age 42.2 yr, model for end-stage liver disease [MELD] score 25.5, alcohol etiology 83.4%), 104 (48.14%) had VNT. Patients with VNT had higher SSM (kPa) (76.71 ± 17.54 vs. 60.56 ± 20.21, p = 0.006), LSM (kPa) (71.96 ± 6.87 vs. 61.93 ± 17.76, p = 0.001) and lower platelet count (103 /µl) (91.73 ± 17.71 vs. 126.94 ± 42.97, p < 0.001). A model incorporating these parameters had an area under the receiver operating characteristic (AUROC) of 0.842 and could spare esophagogastroduodenoscopy in 34.3% of patients with missing VNT rate of 4.8%. The results were internally validated by bootstrap analysis. On DCA, NB of model was higher for threshold probabilities range 0.07 to 0.8. The model had good calibration with Brier score of 0.15. It performed well in alcohol and non-alcohol related causes with AUROCs of 0.830 and 0.884, respectively.
CONCLUSION: A model comprising SSM, LSM and platelet count identifies VNT non-invasively in ACLF patients.