The Charlson Comorbidity Index: Predicting Severity in Emergency Departments
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 1
- 试验地点
- 1
- 主要终点
- determine the severity of patients. to identify patients who need hospitalization. determine the severity of patients.
研究概览
简要总结
Objective: The Charlson Comorbidity Index (CCI) is a comorbidity scale used widely throughout the world. It uses patients' preoperative and intraoperative morbidity factors to evaluate morbidity and mortality risk. Though the CCI has widespread use, it has not been evaluated in patients attending at ES, and its relationship with patient readmission has not been shown previously. In this study, we aimed to show whether there is a correlation between the CCI value and the number of repeated admissions to emergency services and that the CCI value can be used as a predicted factor for the serious patients.
Matherials and Methods: This was a prospective observational cross-sectional study. Age, gender, vital signs of the patients who agreed to participate in the study was recorded. Numbers of emergency service applications in the last 6 months and CCI score have been recorded.
详细描述
This study showed that CCI score can be used for identify serious patient in emergency service.
研究设计
- 研究类型
- Observational
- 观察模型
- Other
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Admitted patients were told about the study, and those who agreed to participate were included
排除标准
- •Patients who did not wish to participate in the study
- •Patients who were unable to work or who had problems with consciousness
- •Patients with non-hospital cardiopulmonary arrest
- •Patients who had previously participated in the study (readmitted patients)
- •Patients who had accessed ES for the same or a similar complaint within the last seven days
- •< 18 years' old
结局指标
主要结局
determine the severity of patients. to identify patients who need hospitalization. determine the severity of patients.
时间窗: 2018
to identify patients who need hospitalization.
次要结局
未报告次要终点
研究者
Abdullah Osman KOCAK
Assistant Prefessor
Ataturk University