Literature DB >> 19935111

Injury severity score, resource use, and outcome for trauma patients within a Japanese administrative database.

Kazuaki Kuwabara1, Shinya Matsuda, Yuichi Imanaka, Kiyohide Fushimi, Hideki Hashimoto, Koichi B Ishikawa, Hiromasa Horiguchi, Kenshi Hayashida, Kenji Fujimori, Shunya Ikeda, Hideo Yasunaga.   

Abstract

BACKGROUND: Injury Severity Score (ISS) is commonly used in prediction models and risk adjustment for mortality. However, few studies have assessed the relationship of ISS to outcomes such as resource use. To test the utility of ISS for investigation of the quality of trauma care, we evaluated the impact of ISS on resource utilization and mortality.
METHODS: Of 1,895,249 cases from a Japanese administrative database in 2006, 13,627 trauma patients with ISS were analyzed. Variables included demographics, ISS, number and locations of injured organs, comorbidities, diagnostic and therapeutic procedures recorded during hospitalization, and hospital type. Dependent variables were length of stay (LOS), total charges (TC), initial 48-hour TC, high outliers of LOS or TC, and mortality. Multivariate analyses were used to measure the impact of ISS.
RESULTS: ISS 1 to 9 was most frequent (85.5%) and blunt injury occurred in 93.7% of patients. With increasing ISS, the mortality rate rose to 27.2% at ISS >or=36. LOS was higher at ISS >or=36 whereas TC was higher at 25 to 35. After controlling for study variables, rehabilitation was most strongly associated with LOS, TC, and LOS outliers. ISS 25 to 35 affected initial 48-hour TC most, while ventilation affected mortality most. "Abdomen, pelvic organs" and ISS 25 to 35 or >or=36 were more strongly associated with outcomes.
CONCLUSIONS: Specific ISS and injured organs may be used to estimate resource use or mortality for monitoring quality of trauma care. To integrate a more efficient system of trauma care, variations in resource input among hospitals should be investigated.

Entities:  

Mesh:

Year:  2010        PMID: 19935111     DOI: 10.1097/TA.0b013e3181a60275

Source DB:  PubMed          Journal:  J Trauma        ISSN: 0022-5282


  9 in total

1.  Short report: Venomous snake bites in Japan.

Authors:  Hideo Yasunaga; Hiromasa Horiguchi; Kazuaki Kuwabara; Hideki Hashimoto; Shinya Matsuda
Journal:  Am J Trop Med Hyg       Date:  2011-01       Impact factor: 2.345

2.  In-hospital outcomes and cost assessment between bipolar versus monopolar transurethral resection of the prostate.

Authors:  Toru Sugihara; Hideo Yasunaga; Hiromasa Horiguchi; Mitsuhiro Nakamura; Hiroaki Nishimatsu; Haruki Kume; Kazuhiko Ohe; Shinya Matsuda; Yukio Homma
Journal:  J Endourol       Date:  2012-03-19       Impact factor: 2.942

3.  Impact of remifentanil use on early postoperative outcomes following brain tumor resection or rectal cancer surgery.

Authors:  Kanji Uchida; Hideo Yasunaga; Hiroaki Miyata; Masahiko Sumitani; Hiromasa Horiguchi; Shinya Matsuda; Yoshitsugu Yamada
Journal:  J Anesth       Date:  2012-05-04       Impact factor: 2.078

4.  Impact of remifentanil introduction on practice patterns in general anesthesia.

Authors:  Kanji Uchida; Hideo Yasunaga; Hiroaki Miyata; Masahiko Sumitani; Hiromasa Horiguchi; Ken Kuwajima; Shinya Matsuda; Yoshitsugu Yamada
Journal:  J Anesth       Date:  2011-09-09       Impact factor: 2.078

5.  Estimating the health burden of road traffic injuries in Malawi using an individual-based model.

Authors:  Robert Manning Smith; Valentina Cambiano; Tim Colbourn; Joseph H Collins; Matthew Graham; Britta Jewell; Ines Li Lin; Tara D Mangal; Gerald Manthalu; Joseph Mfutso-Bengo; Emmanuel Mnjowe; Sakshi Mohan; Wingston Ng'ambi; Andrew N Phillips; Paul Revill; Bingling She; Mads Sundet; Asif Tamuri; Pakwanja D Twea; Timothy B Hallet
Journal:  Inj Epidemiol       Date:  2022-07-12

6.  Effect of the Japanese herbal kampo medicine dai-kenchu-to on postoperative adhesive small bowel obstruction requiring long-tube decompression: a propensity score analysis.

Authors:  Hideo Yasunaga; Hiroaki Miyata; Hiromasa Horiguchi; Kazuaki Kuwabara; Hideki Hashimoto; Shinya Matsuda
Journal:  Evid Based Complement Alternat Med       Date:  2011-03-31       Impact factor: 2.629

7.  Australian Injury Comorbidity Indices (AICIs) to predict burden and readmission among hospital-admitted injury patients.

Authors:  Dasamal Tharanga Fernando; Janneke Berecki-Gisolf; Stuart Newstead; Zahid Ansari
Journal:  BMC Health Serv Res       Date:  2021-02-15       Impact factor: 2.655

8.  Predicting outcomes after trauma: Prognostic model development based on admission features through machine learning.

Authors:  Kuo-Chang Lee; Tzu-Chieh Lin; Hsiu-Fen Chiang; Gwo-Jiun Horng; Chien-Chin Hsu; Nan-Chun Wu; Hsiu-Chen Su; Kuo-Tai Chen
Journal:  Medicine (Baltimore)       Date:  2021-12-10       Impact factor: 1.817

9.  Validation of age-specific survival prediction in pediatric patients with blunt trauma using trauma and injury severity score methodology: a ten-year Nationwide observational study.

Authors:  Chiaki Toida; Takashi Muguruma; Masayasu Gakumazawa; Mafumi Shinohara; Takeru Abe; Ichiro Takeuchi; Naoto Morimura
Journal:  BMC Emerg Med       Date:  2020-11-18
  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.