Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Chien-Chin Hsu"'
Autor:
Chien-Chin Hsu, Jui Yuan Chung, Jiann-Hwa Chen, How Ran Guo, Hung-Jung Lin, Wei Lung Chen, Chien-Cheng Huang
Publikováno v:
The American Journal of Emergency Medicine. 37:391-394
Background The shock index is a rapid and simple tool used to predict mortality in patients with acute illnesses including sepsis, multiple trauma, and postpartum hemorrhage. However, its ability to predict mortality in geriatric patients with influe
Autor:
Jiann-Hwa Chen, Jui-Yuan Chung, Yen-An Chen, Chien-Chun Yeh, Wei-Lung Chen, Chien-Cheng Huang, Chien-Chin Hsu, Henry Chih-Hung Tai
Publikováno v:
BMC Infectious Diseases
BMC Infectious Diseases, Vol 19, Iss 1, Pp 1-7 (2019)
BMC Infectious Diseases, Vol 19, Iss 1, Pp 1-7 (2019)
Background Systemic Inflammatory Response Syndrome (SIRS) criteria are often used to evaluate the risk of sepsis and to identify in-hospital mortality among patients with suspected infection. However, utilization of the SIRS criteria in mortality pre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ad9c3b5f8c9dc365b6f7d4d146293b0
https://doi.org/10.21203/rs.2.10747/v1
https://doi.org/10.21203/rs.2.10747/v1
Autor:
Chien-Chin Hsu, Hung-Jung Lin, Chien-Cheng Huang, Jiann-Hwa Chen, Wei Lung Chen, How Ran Guo, Jui Yuan Chung
Publikováno v:
Scientific Reports, Vol 8, Iss 1, Pp 1-8 (2018)
Scientific Reports
Scientific Reports
Although influenza may cause death in the geriatric population, the best method for predicting mortality in this population is still unclear. We retrospectively recruited older people (≥65 yr) with influenza visiting the emergency department (ED) o
Autor:
Su-Hen Chang, Jiann-Hwa Chen, Wei-Lung Chen, Jui-Yuan Chung, Yen-An Chen, Chien-Chun Yeh, Chien-Cheng Huang, Chien-Chin Hsu
Publikováno v:
Medicine
The quick sequential organ failure assessment (qSOFA) score is widely used to assess the risk of sepsis and predict in-hospital mortality in patients with suspected infection. However, its ability to predict mortality among geriatric patients with in