• Rubing Liu, Yurong Sun, Kewei Xu, Hongyan Shi, Shuting Sheng, and Derun Kong.
• Department of Digestive Internal Medicine, Funan County People's Hospital, Anhui, China.
• J Coll Physicians Surg Pak. 2022 May 1; 32 (5): 586-590.

ObjectiveTo establish and verify a nomogram for individualized prediction of patients with oesophageal and gastric variceal rupture and haemorrhage in cirrhosis.Study DesignDescriptive study.Place And Duration Of StudyDepartment of Digestive Internal Medicine, Funan County People's Hospital, Anhui, China, from June 2017 to June 2020.MethodologyUnivariate and multivariate logistic regression analyses were used to identify the risk factors for oesophageal and gastric variceal bleeding in cirrhosis. An individualized risk prediction model was established, which was validated by the parallel bootstrap method and an external validation set.ResultsIt was found that emotional stimuli (OR=4.591, 95% CI: 1.419-14.852), improper diet (OR=3.702, 95% CI: 1.606-8.526), overwork (OR=3.529, 95% CI: 1.331-9.366), lower temperature (OR=3.013, 95% CI: 1.242-7.308), and increased abdominal pressure (OR=2.416, 95% CI: 0.900-6.487) were independent risk factors for oesophageal and gastric variceal bleeding in cirrhosis. A risk prediction model was established based on the five risk factors, and the R equation test showed that the C-index of the modelling group and the verification group was 0.815 (95% CI: 0.794-0.836) and 0.812 (95% CI: 0.793-0.831), respectively.ConclusionThe results of the correction curve showed little difference, which indicated that the risk prediction model has good accuracy and differentiation.Key WordsCirrhosis, Oesophagus varices and gastric fundus varices, Bleeding, Risk factors, Risk model, Validation.

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