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Journal : Indonesian Journal of Anesthesiology and Reanimation (IJAR)

AIMS65 Scoring System for Predicting Clinical Outcomes Among Emergency Department Patients with Upper Gastrointestinal Bleeding Nabiel, Rifaldy; Munawir, Al; Firdaus, Jauhar
Indonesian Journal of Anesthesiology and Reanimation Vol. 6 No. 1 (2024): Indonesian Journal of Anesthesiology and Reanimation (IJAR)
Publisher : Faculty of Medicine-Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/ijar.V6I12024.58-72

Abstract

Introduction: Several scoring systems were developed for early risk stratification in Upper Gastrointestinal Bleeding (UGIB) patients. AIMS65 score is a scoring system that only consists of five parameters, it might be used in daily clinical practice because of rapid and easy to calculate within 12 hours of admission. Objective: To evaluate the AIMS65 scoring system as a predictor of mortality, rebleeding events, need for endoscopic therapy, blood transfusion, and ICU admission for all causes of UGIB. Methods: We conducted a systematic review on PubMed, ScienceDirect, ProQuest, and Cochrane Library databases from the 2012 to 2022 publication period. We included either prospective or retrospective cohort studies that reported UGIB with all kinds of aetiologies who presented in the emergency department (ED), reported discriminative performance for each outcome, and reported the optimal cut-off of AIMS65. The primary measurement of discriminative performance for clinical outcomes includes mortality, rebleeding incidents, need for endoscopic therapy, blood transfusion, and ICU admission. Results: We identified 351 published studies, of which 20 were included in this study. Most of the studies reported discriminative performance for predicting mortality, which amounts to about 18 out of 20 studies. Rebleeding prediction was reported in 11 studies, need for endoscopic therapy in 5 studies, blood transfusion in 7 studies, and ICU admission in 2 studies. Most of the studies reported fair to excellent discriminative performance for predicting mortality, but in contrast for predicting rebleeding, the need for endoscopic therapy, blood transfusion, and ICU admission. Cut-off values≥ 2 are frequently reported to distinguish between high-risk and low-risk patients in mortality. Conclusion: AIMS65 can be applied to patients with UGIB in ED for predicting mortality, but not applicable for predicting rebleeding events, the need for endoscopic therapy, blood transfusion, and ICU admission. It enhances early decision-making and triage for UGIB patients.
Co-Authors Abu Khoiri Achmad Subagio Adelia Handoko Aisya, Meutia Citra Al Munawir Alif Kufari Alyssandra Afqorina Agung Amini, Stefia A. Andi Muhammad, Andi Angela, Patricia Angga Mardro Raharjo Aris Prasetyo Aris Prasetyo Azham Purwandhono Bagus Hermansyah Bagus Satrio Pambudi Bagus Satrio Pambudi, Bagus Satrio Baidowi, Ivan Iqbal Caesarina, Ancah Cahyana, Nugraha Wahyu Cicih Komariah Dini Agustina Dita Diana Parti El Milla, Kardiana Izza Elly Nurus Sakinah, Elly Nurus ENNY SUSWATI Erma Sulistyaningsih Fambudi, Stela S. Habibbur Rochman Salim Hairrudin Hairrudin Handoko, Adelia Haniefah, Yumna Rifda Heni Fatmawati Ida Srisurani Wiji Astuti Inke Kusumastuti Inreswari, Laksmi Irawan Fajar Kusuma Karim, Muhdie Karisma Adya Pertiwi Komang Dewi Fridayanti Kristianingrum Dian Sofiana Kristianingrum Dian Sofiana Kristianningrum Dian Sofiana Labibah, Zhafirah Rana Laksmi Indreswari Lubis, Arinie Awindya Marchianti, Ancah CN. Maria Ulfa Moh. Nur Indra Caesar Muhammad Fakhri Ali Muhammad Rijal Fahrudin Hidayat Nabiel, Rifaldy Ngurah Agung Reza Satria Nugraha Putra Nofica, Cheila Nurud Diniyah Pattipeilohy, Florence Pattipeilohy, Florence Marianty Pipiet Wulandari Pralampita, Pulong Wijang Prasetyo, Aris Putri, Dhiani E. Raharjo, Angga Rumastika, Nindya Shinta Sakinah, Elly N. septa surya wahyudi, septa surya Setia, Bagus Sheilla Rachmania, Sheilla Sofiana, Kristianingrum Dian Sudarmanto, Yohanes Sudjarwo, Raisa sulihah, nurfaizah titisari Supangat Supangat Supangat Supangat Suryono Suryono T Ariani Widiastini Tartila, Jasmine Tristianti, Farmitalia Nisa Winanda, Leony Agnes Savira Wulan, Herlina Nur Yonas Hadisubroto Yudha Nurdian Yuli Hermansyah Zahrah Febianti