|
|
|
| Analysis of disease characteristics and prognosis of ICU inpatients in a geriatric hospital |
| Xu Taoyan, Chen Hongyu, Wu Shuai |
| Intensive Care Unit of Hangzhou Geriatric Hospital, Hangzhou 310000, China |
|
|
|
Abstract Objective To understand the hospitalization status of patients in Intensive Care Unit (ICU) in our hospital in recent 2 years, and to provide reference information for the construction of various departments in our hospital.Methods Totally 200 ICU patients admitted from June 2016 to June 2018 in our hospital were collected. All of them kept complete medical records. The disease types, age distribution, prognosis and nosocomial infection of ICU patients were analyzed.Results Malignant tumors, cerebrovascular accidents and trauma accounted for 26.50%, 22.50% and 21.00% respectively, followed by acute abdomen, pneumonia, and cardiovascular diseases, etc. The ratio of disease spectrum was significantly different (P<0.01). Trauma was predominant for ICU patients aged 1 to 18 years old, malignant tumors and trauma were predominant for patients aged 19 to 40 years old and 41 to 65 years old, and malignant tumors and cerebrovascular accident were predominant for patients aged 66 to 82 years old. The disease spectrum composition of different age groups was significantly different (P<0.01). After treatment, 73.50% of patients in ICU were transferred to other departments, and the ratio was significantly higher than death 20.00% and discharge 6.50%. There was a significant difference in the composition of prognosis and outcome (P<0.01). The highest conversion rate of ICU was 31.97% of malignant tumor, 23.81% of cerebrovascular accident. The highest mortality rate was 40.00% of the patients with trauma. There was a significant difference in the ratio of disease spectrum between ICU transfer and death (P<0.01). The nosocomial infection rate in ICU was 16.50%, and the nosocomial infection rate increased gradually with the extension of ICU stay.Conclusions The disease spectrum composition of ICU patients, the disease spectrum composition of different age groups, the prognosis of different diseases and nosocomial infection rate have significant characteristics, reflecting the characteristics of complex disease spectrum and multi-disciplinary diseases. And these patients were in critical condition, and were easy to death and nosocomial infection and so on. Combined with statistical information, the construction of related disciplines and the integration of medical resources should be strengthened accordingly to improve ICU medical treatment services.
|
|
Received: 16 August 2018
|
|
|
|
|
|
[1] 杨彩霞,吴迪,吴艳君.ICU临床信息系统管理模式分析[J].医学研究生学报,2016,29(8):865-867.
[2] 屈莉,孔淑贞,王维霞,等.综合医院急诊监护室收治患者疾病特点分析[J].中国病案,2016,17(1):72-74.
[3] 中华医学会重症医学分会. 《中国重症加强治疗病房(ICU)建设与管理指南》(2006)[J].中国危重病急救医学,2006,18(7):387-388.
[4] HAWKINGS HA, LILLY CM, Kaster DA, et al. ICU Telemedicine Co-Management Methods and Length of Stay[J].Chest,2016,150(2):314-319.
[5] 徐伟楠,许应坤,曹珍娣.综合ICU院内感染回顾性分析[J].昆明医科大学学报,2017,12(6):40-43.
[6] 赵向,仇成凤,黄渊旭,等.怀化市第一人民医院2014年急诊重症监护病房疾病构成分析[J].临床急诊杂志,2016,14(1):56-59.
[7] GORNOCSAR K, MOZES T, GROSZ A, et al. TNFα Variation During the Menstrual Cycle and Thereafter: A New Explanation for Gender-Based Disparities in ICU Admission Rates, Trauma Outcomes and General Mortality[J].Shock,2016,47(4):416.
[8] ODA J. Analysis of consumption of medical resources in terms of ICU/hospital stay and severity using Japan trauma date bank(JTDB)[J]. Journal of the Japanese Association for the Surgery of Trauma,2012,26(4):15-17.
[9] KAHN JM, LE TQ, BARNNATO AE, et al. ICU Telemedicine and Critical Care Mortality: A National Effectiveness Study.[J].Medical Care,2016,54(3):319.
[10]岳阳阳,郑黎强,郭佳凯,等.我国三级医院住院患者死亡率的影响因素分析[J].中国医院,2016,21(3):20-23.
[11]MOITRA VK, GUERRA C, Lindezwirble WT, et al. Relationship Between ICU Length of Stay and Long-term Mortality for Elderly ICU Survivors[J].Critical Care Medicine,2016,44(4):655.
[12]葛怡,李倩倩.ICU住院患者的营养与生存状况研究[J].中国临床研究,2017,30(5):672-674. |
| [1] |
Zhao Yufang, Zhu Beilei, Ye Mangmang. Analysis of rehabilitation nursing effect on patients with ICU severe craniocerebral injury based on Omaha system[J]. journal1, 2018, 25(6): 467-469. |
| [2] |
Fang Ping, Li Na. Effect of cluster management on nursing quality of ICU patients undergoing mechanical ventilation under the concept of humanistic care[J]. journal1, 2018, 25(5): 367-369. |
| [3] |
Chen Wenying, Wang Jia, Zhou Xuan. Statistics and risk factors of nosocomial infection in elderly patients with respiratory diseases in recent three years[J]. journal1, 2018, 25(5): 381-383. |
| [4] |
. [J]. journal1, 2018, 25(4): 305-307. |
| [5] |
Liu Jiaming, Lin Hailing. Relationship between the incidence of hyperuricemia and age in patients with coronary heart disease[J]. journal1, 2018, 25(2): 99-100. |
| [6] |
. [J]. journal1, 2018, 25(2): 158-160. |
|
|
|
|
