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PREDICTORS OF POSTOPERATIVE PULMONARY COMPLICATIONS

术后肺部并发症的预测因素

基本信息

批准号：
2258567
负责人：
JO A BROOKS-BRUNN
金额：
$ 3.12万
依托单位：
INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS
依托单位国家：
美国
项目类别：
财政年份：
1994
资助国家：
美国
起止时间：
1994-06-01 至
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/2258567
关键词：
disease /disorder proneness /risk hospital length of stay human subject model design /development nursing models postoperative complications prognosis respiratory function respiratory insufficiency /failure

项目摘要

Postoperative pulmonary complications (PPCs) often lead to increased patient morbidity and mortality, hospital length of stay and resource utilization. As many as 35 risk factors associated with PPCs have been identified. Yet little has been done to systematically develop the list of risk factors into a practical predictive model for clinical use. A model building study will be used to prospectively examine individual risk factors associated with the development of a PPC in subjects undergoing an abdominal surgical procedure. Risk factors which are accessible to the nurse in the preoperative, intraoperative and immediate postoperative setting will be used. These risk factors will be used in the development of a predictive model for PPCs and the model will be tested in an independent sample. Three institutions will be used for data collection and the target population is adults who will undergo a scheduled abdominal surgical procedure. A sample size of 540 is projected over the course of 14 months. A multi-criteria outcome of PPC will be used and 16 risk factors will be assessed:age, sex, smoking history, body mass index, mobility, level of consciousness, length of stay prior to surgery, history of lung disease, history of other disease(s), preoperative respiratory therapy, anesthesia risk, duration of anesthesia, location and type of surgical procedure, incision direction and nasogastric tube. Logistic regression analysis will be used to examine the risk factors for univariate effects on PPC and to develop the multivariate model. A split sample technique will be used to test the predictive model. The sensitivity and specificity of the model will be assessed.

术后肺部并发症（PPC）通常会导致患者发病率和死亡率、住院时间和资源利用率多达35个与PPC相关的风险因素已经被发现。鉴定然而，在系统地编制风险因素转化为临床使用的实用预测模型。模型建筑研究将用于前瞻性地检查个人风险在接受治疗的受试者中发生PPC的相关因素腹部外科手术可接触到的风险因素术前、术中、术后即刻护理设置将被使用。这些风险因素将用于开发的PPC预测模型，该模型将在独立样本三个机构将用于数据收集目标人群是将接受定期腹部手术的成年人，外科手术预计在整个过程中，样本量为540 14个月将使用PPC的多标准结局，16项风险评估因素：年龄、性别、吸烟史、体重指数，活动性、意识水平、术前住院时间、病史肺部疾病、其他疾病史、术前呼吸道疾病治疗、麻醉风险、麻醉持续时间、位置和类型外科手术、切口方向和鼻胃管。 logistic 回归分析将用于检查单变量的风险因素对PPC的影响，并建立多变量模型。一个分裂的样本技术将用于测试预测模型。的敏感性和将评估模型的特异性。