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of 6
pro vyhledávání: '"Kin Ming Poon"'
Autor:
Yuet Hong Wu, Jeremy Ho Hei Chiu, Choi Fung Tse, Yuet Yan Fiona Chan, Kin Ming Poon, Chun Tat Lui
Publikováno v:
Hong Kong Journal of Emergency Medicine, Vol 31, Iss 2, Pp 43-52 (2024)
Abstract Background It is a common challenge for emergency physicians to differentiate pneumonia from simple upper respiratory tract infections. Several clinical prediction rules exist to assist the diagnosis process and guide the clinical decisions
Externí odkaz:
https://doaj.org/article/c6b79d730ef14bbd87961f2ce2882ec1
Publikováno v:
The American Journal of Emergency Medicine. 50:733-738
To derive a clinical prediction rule of termination of resuscitation (TOR) for out-of-hospital cardiac arrest (OHCA) with pre-hospital defibrillation given.This was a retrospective multicenter cohort study performed in three emergency departments (ED
Publikováno v:
The American Journal of Emergency Medicine. 38:2557-2563
It is a frequent challenge for physicians to identify pneumonia in patients with acute febrile respiratory symptoms, particularly in stable pediatric patients without respiratory distress. A decision rule is required to assist judgement on the need o
Publikováno v:
The American Journal of Emergency Medicine. 37:1433-1438
To derive a clinical prediction rule to predict pneumonia in patients with acute febrile respiratory illness to emergency departments.This was a prospective multicentre study. 537 adults were recruited. Those requiring resuscitation or were hypoxaemi
Publikováno v:
Resuscitation. 104
Objective To evaluate the diagnostic accuracy of an abrupt and sustained increase in end-tidal carbon dioxide (ETCO 2 ) to indicate return of spontaneous circulation (ROSC) during resuscitation of patient with out-of-hospital cardiac arrest. Design C
Publikováno v:
Resuscitation. 102
Objective To evaluate the role of initial ETCO2 value in prognostication of OHCA patients in an Asian-Chinese cohort. Design Prospective cohort study. Setting Emergency departments of two regional hospitals in a cluster of Hong Kong. Patients Patient