A Comprehensive Study on Sudden Deafness for Analyzing Their Clinical Characteristics and Prognostic Factors

医学 逻辑回归 秩相关 内科学 耳鸣 单变量分析 相关性 接收机工作特性 疾病 斯皮尔曼秩相关系数 甘油三酯 多元分析 听力学 胆固醇 统计 几何学 数学 机器学习 计算机科学
作者
K. Yao,Muhammad Asad Iqbal,Nida Fatima Moazzam,Wei Qian
出处
期刊:Ear, nose, & throat journal [SAGE]
标识
DOI:10.1177/01455613241232796
摘要

Background: To study the factors associated with the prognosis of patients with sudden deafness to facilitate clinical treatment and improve efficacy. Methods: A total of 414 patients with sudden deafness treated in Zhenjiang First People’s Hospital from January 2020 to December 2022 were chosen. Relevant data were gathered and the effectiveness of treatment was assessed by comparing hearing test results before and after hospital admission and divided into effective and ineffective groups, and the effectiveness of each factor was analyzed using univariate analysis, Spearman’s correlation analysis, and multifactor logistic regression. Results: The 2 groups had significant differences in age, presence of tinnitus, degree of hearing loss, and triglyceride levels. Spearman’s rank correlation analysis showed a negative correlation between hearing threshold of at least 81 dB at 250 to 8000 Hz, the low-density lipoprotein (LDL), triglyceride levels, and the prognosis ( r < 0, P < .001). A positive correlation exists between high-density lipoprotein levels and prognosis ( r > 0, P < .001). Receiver operating characteristic curve showed LDL level, age, and time since disease onset appears to be highly predictive. Multivariable logistic regression analysis showed that age >47 years, LDL >2.93 mmol/L, and time to presentation >10 days after disease onset are at higher risk for poor prognosis. Conclusion: Factors that influence the prognosis of patients with sudden deafness include age, tinnitus symptoms, high LDL levels, and the type of hearing curve. Early intervention and targeted treatment should be given to high-risk patients to improve the outcome of sudden deafness in clinical practice.

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
刚刚
1秒前
hao关闭了hao文献求助
1秒前
CipherSage应助李李采纳,获得10
3秒前
ranan完成签到,获得积分10
3秒前
3秒前
小芳完成签到,获得积分10
3秒前
英吉利25发布了新的文献求助10
3秒前
4秒前
4秒前
爱笑寒凝发布了新的文献求助10
5秒前
fyy发布了新的文献求助10
5秒前
Ava应助寒冷又晴采纳,获得10
5秒前
上官若男应助过过过采纳,获得10
5秒前
酷波er应助PG采纳,获得10
5秒前
量子星尘发布了新的文献求助10
6秒前
6秒前
6秒前
李楠完成签到,获得积分20
6秒前
7秒前
ZIS发布了新的文献求助10
7秒前
七七七发布了新的文献求助10
7秒前
7秒前
从容从灵完成签到,获得积分20
7秒前
哭泣灯泡完成签到,获得积分10
8秒前
8秒前
601zxy完成签到 ,获得积分10
8秒前
yehen关注了科研通微信公众号
8秒前
美满烤鸡发布了新的文献求助10
8秒前
9秒前
深情安青应助尹晨熙采纳,获得10
9秒前
9秒前
完美世界应助第七个星球采纳,获得10
9秒前
充电宝应助飞翔的鸣采纳,获得10
10秒前
FreeRay发布了新的文献求助10
10秒前
qingmoheng应助LUOYI采纳,获得10
10秒前
科研通AI6应助11采纳,获得10
10秒前
大模型应助11采纳,获得10
10秒前
稳重的泽洋完成签到 ,获得积分10
10秒前
丰知然应助KKKZ采纳,获得10
10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 5609726
求助须知:如何正确求助?哪些是违规求助? 4694294
关于积分的说明 14881987
捐赠科研通 4720227
什么是DOI,文献DOI怎么找? 2544836
邀请新用户注册赠送积分活动 1509735
关于科研通互助平台的介绍 1472996