A novel prediction tool for mortality in patients with acute lower gastrointestinal bleeding requiring emergency hospitalization: a large multicenter study

Author:

Tominaga Naoyuki,Sadashima Eiji,Aoki Tomonori,Fujita Minoru,Kobayashi Katsumasa,Yamauchi Atsushi,Yamada Atsuo,Omori Jun,Ikeya Takashi,Aoyama Taiki,Sato Yoshinori,Kishino Takaaki,Ishii Naoki,Sawada Tsunaki,Murata Masaki,Takao Akinari,Mizukami Kazuhiro,Kinjo Ken,Fujimori Shunji,Uotani Takahiro,Sato Hiroki,Suzuki Sho,Narasaka Toshiaki,Hayasaka Junnosuke,Funabiki Tomohiro,Kinjo Yuzuru,Mizuki Akira,Kiyotoki Shu,Mikami Tatsuya,Gushima Ryosuke,Fujii Hiroyuki,Fuyuno Yuta,Hikichi Takuto,Toya Yosuke,Narimatsu Kazuyuki,Manabe Noriaki,Nagaike Koji,Kinjo Tetsu,Sumida Yorinobu,Funakoshi Sadahiro,Kobayashi Kiyonori,Matsuhashi Tamotsu,Komaki Yuga,Miki Kuniko,Watanabe Kazuhiro,Kaise Mitsuru,Nagata Naoyoshi

Abstract

AbstractThe study aimed to identify prognostic factors for patients with acute lower gastrointestinal bleeding and to develop a high-accuracy prediction tool. The analysis included 8254 cases of acute hematochezia patients who were admitted urgently based on the judgment of emergency physicians or gastroenterology consultants (from the CODE BLUE J-study). Patients were randomly assigned to a derivation cohort and a validation cohort in a 2:1 ratio using a random number table. Assuming that factors present at the time of admission are involved in mortality within 30 days of admission, and adding management factors during hospitalization to the factors at the time of admission for mortality within 1 year, prognostic factors were established. Multivariate analysis was conducted, and scores were assigned to each factor using regression coefficients, summing these to measure the score. The newly created score (CACHEXIA score) became a tool capable of measuring both mortality within 30 days (ROC-AUC 0.93) and within 1 year (C-index, 0.88). The 1-year mortality rates for patients classified as low, medium, and high risk by the CACHEXIA score were 1.0%, 13.4%, and 54.3% respectively (all P < 0.001). After discharge, patients identified as high risk using our unique predictive score require ongoing observation.

Funder

Koseikan Institutional Research Grant

The Ministry of Health, Labour, and Welfare, Japan

Japan Society for the Promotion of Science

Smoking Research Foundation, Takeda Science Foundation

Tokyo Medical University Cancer Research Foundation

Tokyo Medical University Research Foundation

Grants-in-Aid for Research from the National Center for Global Health and Medicine

Publisher

Springer Science and Business Media LLC

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