Cluster analysis of vital signs of critical patients in emergency department during intra-hospital transport
10.3760/cma.j.cn115682-20230224-00701
- VernacularTitle:急诊危重患者院内转运过程中生命体征的聚类分析
- Author:
Chunrong MA
1
;
Hongxiang GAO
;
Guoyan WANG
;
Ying AN
Author Information
1. 首都医科大学附属北京同仁医院护理部，北京 100730
- Keywords:
Emergency department;
Critically ill patients;
Intra-hospital transport;
Cluster analysis
- From:
Chinese Journal of Modern Nursing
2023;29(36):4972-4975
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore a classification method for critically ill emergency patients undergoing intra-hospital transport based on cluster analysis, and analyze the changes in vital signs between different categories, so as to provide references for targeted nursing interventions.Methods:Using the convenient sampling method, a total of 416 critically ill patients who were transferred from emergency department to ICU in 2 hospital areas of Beijing Tongren Hospital, Capital Medical University from January to December 2021 were selected as the research objects. General data and vital signs before and after transport were collected. Five vital signs, including body temperature, heart rate, respiratory rate, systolic blood pressure and peripheral capillary blood oxygen saturation measured at the last time before transport, were taken as cluster variables. Patients were classified based on second-order cluster analysis and compared among different categories.Results:The 416 patients included in this study could be divided into 3 categories, such as stable group, low oxygen saturation group and high heart rate group, and the clustering contour coefficient was 0.30. The systolic blood pressure before and after transport of the three groups were compared, and the differences were statistically significant (all P<0.05). Moreover, there was a statistically significant difference in respiratory frequency between the low oxygen saturation group and the high heart rate group (both P<0.05) . Conclusions:It was of great significance to monitor the vital signs of the critically ill patients transferred in the hospital, and the classified management of patients can better guide the clinical practice of transportation.
