Global, regional, national trends of femur fracture and machine learning prediction: Comprehensive findings and questions from global burden of disease 1990–2019

疾病 股骨 人工智能 断裂(地质) 机器学习 医学 计算机科学 地质学 外科 病理 岩土工程
作者
Jinyi Wu,Yan‐Jun Che,Yue Zhang,Junwen Wang,Ming Chen,Jun Jiang,Qingwu Jiang,Yibiao Zhou
出处
期刊:Journal of orthopaedic translation [Elsevier]
卷期号:46: 46-52 被引量:32
标识
DOI:10.1016/j.jot.2024.03.002
摘要

Femur fracture is a type of fracture with high disability and mortality. There is no comprehensive analysis and prediction of the global distribution of femur fractures, so we conducted this study. Age-standardized incidence rate (ASIR), age-standardized prevalence rate (ASPR), and years living with disability (YLDs) of femur fractures (excluding femoral neck) were downloaded from the Global burden of disease database. Trend analysis was performed, and 6 time-series machine learning algorithms were applied to predict the global ASIR, ASPR, and YLDs. ASPR for femur fracture had been increasing in most countries worldwide from 1990 to 2019, with the highest in East Asia (AAPC = 1.25 95%Confidence Interval (1.2, 1.3)) and lowest in Central Latin America (AAPC = −0.74 95%CI (−0.81, −0.67)). However, ASIR showed a significant downward trend worldwide, with East Saharan Africa decreasing the most (AAPC = −4.04 95%CI (−5.56, −2.47)), and East Asia elevating the most (AAPC = 1.11 95%CI (0.87, 1.42)). YLDs were increasing over the world, with East Asia still elevating the most AAPC= (3.9 95%CI (3.85, 3.95)), with the only region of decrease being Eastern Europe (AAPC = −0.28 95%CI (−0.3, −0.26)). Both ASPR and ASIR were higher in women than in men in the >75 year group, whereas YLDs was lower in women than in men in the >60 year group. Globally, the ARIMA model was optimal in the prediction of ASPR, the PROPHET model effected in the prediction of ASIR, and the PROPHET WITH XGBOOST model was the best in the prediction of YLDs. The projections showed increase in both ASPR and YLDs, except for ASIR decreasing by 2030. Our study found a rise in femur fracture ASPR and ASIR from 1990 to 2019 in war conflict areas and East Asia, meanwhile, the YLDs of femur fracture increased in populous countries. In both 1990 and 2019, both ASPR and ASIR were higher in women over 75 years than that in men, but YLDs was higher in men over 60 years than that in women. In 2020–2030, while global femur fracture ASIR might decline, both ASPR and YLDs might rise. Femur fracture is a high-energy injury due to direct violence, and in war, conflicting and underdeveloped regions such as East Asia. Accidental injuries may occur due to the rapid development of industry and the frequent traffic accidents. This study suggests that we should focus on elderly women (≥75 years) in the above regions in the future. For older men (>60 years old), more attention should be paid to post-fracture functional rehabilitation and early reintegration into society to reduce the disability rate and lower the socio-economic burden.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
研友_VZG7GZ应助萝卜采纳,获得10
1秒前
1秒前
1秒前
hu123完成签到,获得积分10
2秒前
领导范儿应助DTS采纳,获得10
2秒前
2秒前
moyu37完成签到,获得积分10
2秒前
2秒前
3秒前
李xxxx发布了新的文献求助10
3秒前
愚林2024发布了新的文献求助10
3秒前
震动的雪一完成签到,获得积分10
3秒前
3秒前
3秒前
天天快乐应助weiyi采纳,获得10
4秒前
4秒前
JamesPei应助欢喜大地采纳,获得10
4秒前
4秒前
jes发布了新的文献求助10
4秒前
Ava应助光亮宛白采纳,获得10
5秒前
Leo完成签到,获得积分10
5秒前
5秒前
四叶草发布了新的文献求助10
6秒前
量子星尘发布了新的文献求助10
7秒前
阔达如松发布了新的文献求助10
7秒前
7秒前
NIHAO完成签到 ,获得积分10
7秒前
小怪兽不吃人完成签到,获得积分10
8秒前
8秒前
8秒前
五小完成签到 ,获得积分10
8秒前
happy完成签到,获得积分10
9秒前
坚强水杯完成签到,获得积分10
9秒前
mhpvv发布了新的文献求助10
9秒前
9秒前
小飞侠来咯完成签到,获得积分10
9秒前
Sesame完成签到,获得积分10
9秒前
yeye发布了新的文献求助30
10秒前
11秒前
12秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Basic And Clinical Science Course 2025-2026 3000
Encyclopedia of Agriculture and Food Systems Third Edition 2000
人脑智能与人工智能 1000
花の香りの秘密―遺伝子情報から機能性まで 800
Principles of Plasma Discharges and Materials Processing, 3rd Edition 400
Pharmacology for Chemists: Drug Discovery in Context 400
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5608256
求助须知:如何正确求助?哪些是违规求助? 4692810
关于积分的说明 14875754
捐赠科研通 4717042
什么是DOI,文献DOI怎么找? 2544147
邀请新用户注册赠送积分活动 1509105
关于科研通互助平台的介绍 1472802