Dhar Shabir Ahmed, Mir Mohammed Ramzan, Halwai Manzoor Ahmed, Butt Mohammed Farooq, Ali Murtaza Fazal, Kawoosa Altaf Ahmed
Government Hospital for Bone and Joint Surgery, Barzullah, Srinagar, Kashmir.
Ortop Traumatol Rehabil. 2009 Jan-Feb;11(1):55-60.
To assess the pattern of mass casualty incidents managed at our hospital over the last eight years, and evolve a differentiating classification based on this pattern. A combination of retrospective and prospective assessment was made.
All patients receiving injuries in mass casualty incidents and managed at our hospital. Patients with an injury severity score above 9. Management of injuries as per the trauma management protocol. Classification based on the data collected during the study and application of this classification to the subsequent mass casualty incidents to allow comparison between similar incidents in different settings.
A classification system that mainly differentiates mass casualty incidents on the hospital basis, the criteria being: the time interval between the first information to first reception, and the percentage of admission above the maximum normal intake.
The Barzullah classification system is the first attempt at developing a hospital based differentiation in mass casualty incidents. It provides a valid and easy method of comparing such incidents between hospitals and perhaps a basis for developing protocol for mass disaster management.
评估我院过去八年处理大规模伤亡事件的模式，并基于此模式制定一种差异化分类。采用回顾性和前瞻性评估相结合的方法。
所有在大规模伤亡事件中受伤并在我院接受治疗的患者。损伤严重程度评分高于9分的患者。按照创伤管理方案进行损伤处理。根据研究期间收集的数据进行分类，并将此分类应用于随后的大规模伤亡事件，以便在不同情况下对类似事件进行比较。
一种主要基于医院对大规模伤亡事件进行区分的分类系统，标准为：首次获得信息至首次接收的时间间隔，以及高于最大正常接收量的入院百分比。
巴尔祖拉分类系统是首次尝试对大规模伤亡事件进行基于医院的区分。它提供了一种有效且简便的方法来比较不同医院之间的此类事件，或许还可为制定大规模灾难管理方案提供基础。
