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Prediction of the Clinical Outcomes of Sigmoid Volvulus by Abdominal X-Ray: AXIS Classification System

AIM: Early diagnosis and evaluation of the severity of sigmoid volvulus are necessary for management and early intervention. We developed a new predictive classification system for sigmoid volvulus based on X-ray findings. METHODS: We retrospectively analyzed 66 patients diagnosed with sigmoid volvu...

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Autores principales: Ishibashi, Rei, Niikura, Ryota, Obana, Nobuya, Fukuda, Sho, Tsuboi, Mayo, Aoki, Tomonori, Yoshida, Shuntaro, Yamada, Atsuo, Hirata, Yoshihiro, Koike, Kazuhiko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6276422/
https://www.ncbi.nlm.nih.gov/pubmed/30581464
http://dx.doi.org/10.1155/2018/8493235
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author Ishibashi, Rei
Niikura, Ryota
Obana, Nobuya
Fukuda, Sho
Tsuboi, Mayo
Aoki, Tomonori
Yoshida, Shuntaro
Yamada, Atsuo
Hirata, Yoshihiro
Koike, Kazuhiko
author_facet Ishibashi, Rei
Niikura, Ryota
Obana, Nobuya
Fukuda, Sho
Tsuboi, Mayo
Aoki, Tomonori
Yoshida, Shuntaro
Yamada, Atsuo
Hirata, Yoshihiro
Koike, Kazuhiko
author_sort Ishibashi, Rei
collection PubMed
description AIM: Early diagnosis and evaluation of the severity of sigmoid volvulus are necessary for management and early intervention. We developed a new predictive classification system for sigmoid volvulus based on X-ray findings. METHODS: We retrospectively analyzed 66 patients diagnosed with sigmoid volvulus using the electronic medical records at the Osaki Citizen's Hospital and the University of Tokyo Hospital from 2008–2015. We classified patients according to the coffee-bean sign mesenteric axis on X-ray (AXIS classification: group A, 0–90°; group B, 90–135°; and group C, >135°). We examined the association between AXIS classification and severe sigmoid volvulus, intestinal necrosis, need for surgery, 30-day mortality, and length of stay using the Cochran–Armitage trend test. RESULTS: In total, 66 patients were analyzed. They had a mean age of 76.9 years, and 47 (71.0%) were male. They were classified into three groups according to the AXIS classification system (group A, 40 patients; group B, 23 patients; and group C, 3 patients). Group C had a significantly higher frequency of severe sigmoid volvulus (100%) compared to group B (30%) and group A (15%). AXIS classification was significantly associated with the severity of sigmoid volvulus (p = 0.003), necrosis (p = 0.004), and need for surgery (p = 0.001), but not with the 30-day mortality or the length of stay. CONCLUSIONS: We developed the AXIS classification system to predict the severity of sigmoid volvulus. This new classification system may facilitate triage and therapeutic decision-making for sigmoid volvulus patients.
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spelling pubmed-62764222018-12-23 Prediction of the Clinical Outcomes of Sigmoid Volvulus by Abdominal X-Ray: AXIS Classification System Ishibashi, Rei Niikura, Ryota Obana, Nobuya Fukuda, Sho Tsuboi, Mayo Aoki, Tomonori Yoshida, Shuntaro Yamada, Atsuo Hirata, Yoshihiro Koike, Kazuhiko Gastroenterol Res Pract Research Article AIM: Early diagnosis and evaluation of the severity of sigmoid volvulus are necessary for management and early intervention. We developed a new predictive classification system for sigmoid volvulus based on X-ray findings. METHODS: We retrospectively analyzed 66 patients diagnosed with sigmoid volvulus using the electronic medical records at the Osaki Citizen's Hospital and the University of Tokyo Hospital from 2008–2015. We classified patients according to the coffee-bean sign mesenteric axis on X-ray (AXIS classification: group A, 0–90°; group B, 90–135°; and group C, >135°). We examined the association between AXIS classification and severe sigmoid volvulus, intestinal necrosis, need for surgery, 30-day mortality, and length of stay using the Cochran–Armitage trend test. RESULTS: In total, 66 patients were analyzed. They had a mean age of 76.9 years, and 47 (71.0%) were male. They were classified into three groups according to the AXIS classification system (group A, 40 patients; group B, 23 patients; and group C, 3 patients). Group C had a significantly higher frequency of severe sigmoid volvulus (100%) compared to group B (30%) and group A (15%). AXIS classification was significantly associated with the severity of sigmoid volvulus (p = 0.003), necrosis (p = 0.004), and need for surgery (p = 0.001), but not with the 30-day mortality or the length of stay. CONCLUSIONS: We developed the AXIS classification system to predict the severity of sigmoid volvulus. This new classification system may facilitate triage and therapeutic decision-making for sigmoid volvulus patients. Hindawi 2018-11-15 /pmc/articles/PMC6276422/ /pubmed/30581464 http://dx.doi.org/10.1155/2018/8493235 Text en Copyright © 2018 Rei Ishibashi et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Ishibashi, Rei
Niikura, Ryota
Obana, Nobuya
Fukuda, Sho
Tsuboi, Mayo
Aoki, Tomonori
Yoshida, Shuntaro
Yamada, Atsuo
Hirata, Yoshihiro
Koike, Kazuhiko
Prediction of the Clinical Outcomes of Sigmoid Volvulus by Abdominal X-Ray: AXIS Classification System
title Prediction of the Clinical Outcomes of Sigmoid Volvulus by Abdominal X-Ray: AXIS Classification System
title_full Prediction of the Clinical Outcomes of Sigmoid Volvulus by Abdominal X-Ray: AXIS Classification System
title_fullStr Prediction of the Clinical Outcomes of Sigmoid Volvulus by Abdominal X-Ray: AXIS Classification System
title_full_unstemmed Prediction of the Clinical Outcomes of Sigmoid Volvulus by Abdominal X-Ray: AXIS Classification System
title_short Prediction of the Clinical Outcomes of Sigmoid Volvulus by Abdominal X-Ray: AXIS Classification System
title_sort prediction of the clinical outcomes of sigmoid volvulus by abdominal x-ray: axis classification system
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6276422/
https://www.ncbi.nlm.nih.gov/pubmed/30581464
http://dx.doi.org/10.1155/2018/8493235
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