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Abstract 56: Variability in Patient Selection Criteria for Postarrest Protocols

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Introduction The prevalence of therapeutic hypothermia (TH) for post-cardiac patients has yet to be established. Complicating this measure is the lack of standardized, universal recommendations on patient selection criteria for.TH. The objective of this study is to assess the amount of variability in patient selection criteria. Methods We conducted a systematic search of all publicly available TH protocols from published Internet sources. Protocols must be complete, associated with a hospital, and demonstrate clear patient selection criteria, to be included. The proportion of hospitals that considered each patient selection criteria was determined. Only descriptive statistics were provided. No statistical inferences were made. Results A total of 64 TH protocols were assessed. Among the protocols, the patient selection criteria are viewed as Utstein based or non-Utstein based (Table 1). The Utstein variables considered were initial rhythm, witnessed, location, time to BLS, and age. Non-

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Introduction The prevalence of therapeutic hypothermia (TH) for post-cardiac patients has yet to be established. Complicating this measure is the lack of standardized, universal recommendations on patient selection criteria for.TH. The objective of this study is to assess the amount of variability in patient selection criteria. Methods We conducted a systematic search of all publicly available TH protocols from published Internet sources. Protocols must be complete, associated with a hospital, and demonstrate clear patient selection criteria, to be included. The proportion of hospitals that considered each patient selection criteria was determined. Only descriptive statistics were provided. No statistical inferences were made. Results A total of 64 TH protocols were assessed. Among the protocols, the patient selection criteria are viewed as Utstein based or non-Utstein based (Table 1). The Utstein variables considered were initial rhythm, witnessed, location, time to BLS, and age. Non-

Keywords

MedicineSelection (genetic algorithm)Artificial intelligence

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