医学
百岁老人
髋部骨折
重症监护室
回顾性队列研究
冲程(发动机)
外科
内科学
队列
急诊医学
老年学
机械工程
工程类
骨质疏松症
长寿
作者
Takahisa Ogawa,Haggai Schermann,Hiroki Kobayashi,Kiyohide Fushimi,Atsushi Okawa,Tetsuya Jinno
出处
期刊:Age and Ageing
[Oxford University Press]
日期:2021-06-02
卷期号:50 (6): 1952-1960
被引量:16
标识
DOI:10.1093/ageing/afab137
摘要
Abstract Background older patients with hip fractures are arbitrarily classified as octogenarians, nonagenarians and centenarians. We have designed this study to quantify in-hospital mortality and complications among each of these groups. We hypothesised that the associations between age and in-hospital mortality and complications are continuously increasing, and that these risks increase rapidly when patients reach a certain age. Methods this research is a retrospective cohort study using nationwide database between 2010 and 2018. Patients undergoing hip fracture surgery, and aged 60 or older, were included. The associations between patient age, in-hospital mortality and complications were visualised using the restricted cubic spline models, and were analysed employing multivariable regression models. Then, octogenarians, nonagenarians and centenarians were compared. Results among a total of 565,950 patients, 48.7% (n = 275,775) were octogenarians, 23.0% (n = 129,937) were nonagenarians and 0.7% (n = 4,093) were centenarians. The models presented three types of association between age, in-hospital mortality and complications: (i) a continuous increase (mortality and respiratory complications); (ii) a mild increase followed by a steep rise (intensive care unit admission, heart failure, renal failure and surgical site hematoma) and (iii) a steep increase followed by a limited change (coronary heart disease, stroke and pulmonary embolisms). Conclusion we identified three types of association between age and clinical outcomes. Patients aged 85–90 may constitute the upper threshold for age categorisations, because the risk of in-hospital complications changed dramatically at that stage. This information can improve clinical awareness of various complications and support collective decision-making.
科研通智能强力驱动
Strongly Powered by AbleSci AI