Baidu
map

Eur Respir J:二氧化氮增加特发性肺纤维化患者死亡风险

2020-11-14 MedSci原创 MedSci原创

增加接触NO2可能会增加IPF患者(尤其是老年男性)的死亡风险。

空气污染与特发性肺纤维化(IPF)患者的预后有关。近日,呼吸疾病领域权威杂志Eur Respir J上发表了一篇研究文章,研究人员旨在明确暴露于空气动力学直径≤10μm(PM10)和二氧化氮(NO2)颗粒物对IPF患者死亡率的影响。

该研究纳入了1995年至2016年间共诊断为IPF的1114例患者(平均年龄为65.7岁;男性占80.5%)。研究人员使用全国规模的暴露预测模型估算了患者居住地PM10和NO2水平的长期浓度。研究人员使用针对个体和区域水平协变量调整的Cox比例风险模型估算了PM10和NO2对死亡率的影响。

中位随访期为3.8年,所有患者中有69.5%的患者死亡或接受了肺移植。当对个体和区域水平的协变量进行调整后,NO2浓度增加10-ppb会导致死亡率增加17%(风险比[HR]为1.172 [95%CI:1.030-1.344,p=0.016])。当IPF患者按年龄(≥65岁 vs. <65岁)或性别进行分层时,NO2是老年人死亡的重要预后因素(HR为1.331 [95%CI:1.010-1.598,p=0.010])。如果按年龄和性别进行分层,则NO2与老年男性的死亡率相关性更强(HR为1.305 [95%CI:1.072-1.598,p=0.008])。在所有患者以及按年龄或性别分层的亚组中,PM10与IPF患者死​​亡率均无相关性。

由此可见,增加接触NO2可能会增加IPF患者(尤其是老年男性)的死亡风险。

原始出处:

Hee-young Yoon,et al.Nitrogen Dioxide Increases the Risk of Mortality in Idiopathic Pulmonary Fibrosis.Eur Respir J.2020.https://erj.ersjournals.com/content/early/2020/11/05/13993003.01877-2020

版权声明:
本网站所有内容来源注明为“梅斯医学”或“MedSci原创”的文字、图片和音视频资料,版权均属于梅斯医学所有。非经授权,任何媒体、网站或个人不得转载,授权转载时须注明来源为“梅斯医学”。其它来源的文章系转载文章,或“梅斯号”自媒体发布的文章,仅系出于传递更多信息之目的,本站仅负责审核内容合规,其内容不代表本站立场,本站不负责内容的准确性和版权。如果存在侵权、或不希望被转载的媒体或个人可与我们联系,我们将立即进行删除处理。
在此留言
评论区 (4)
#插入话题
  1. [GetPortalCommentsPageByObjectIdResponse(id=1894784, encodeId=97251894e840d, content=<a href='/topic/show?id=e45b6e859f3' target=_blank style='color:#2F92EE;'>#特发性#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=57, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=67859, encryptionId=e45b6e859f3, topicName=特发性)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=74808, createdName=xinxin088, createdTime=Sun Jun 20 03:48:04 CST 2021, time=2021-06-20, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1983695, encodeId=d56a1983695dd, content=<a href='/topic/show?id=628553048e3' target=_blank style='color:#2F92EE;'>#患者死亡#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=73, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=53048, encryptionId=628553048e3, topicName=患者死亡)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=12de429, createdName=sunylz, createdTime=Tue Jun 01 21:48:04 CST 2021, time=2021-06-01, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1256034, encodeId=a4ce125603452, content=<a href='/topic/show?id=587f6339050' target=_blank style='color:#2F92EE;'>#死亡风险#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=81, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=63390, encryptionId=587f6339050, topicName=死亡风险)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=74808, createdName=quxin068, createdTime=Mon Nov 16 11:48:04 CST 2020, time=2020-11-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1519424, encodeId=48fb15194248e, content=<a href='/topic/show?id=36ab23962ed' target=_blank style='color:#2F92EE;'>#二氧化氮#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=84, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=23962, encryptionId=36ab23962ed, topicName=二氧化氮)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=820611265628, createdName=Luyuxie_13, createdTime=Mon Nov 16 11:48:04 CST 2020, time=2020-11-16, status=1, ipAttribution=)]
  2. [GetPortalCommentsPageByObjectIdResponse(id=1894784, encodeId=97251894e840d, content=<a href='/topic/show?id=e45b6e859f3' target=_blank style='color:#2F92EE;'>#特发性#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=57, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=67859, encryptionId=e45b6e859f3, topicName=特发性)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=74808, createdName=xinxin088, createdTime=Sun Jun 20 03:48:04 CST 2021, time=2021-06-20, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1983695, encodeId=d56a1983695dd, content=<a href='/topic/show?id=628553048e3' target=_blank style='color:#2F92EE;'>#患者死亡#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=73, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=53048, encryptionId=628553048e3, topicName=患者死亡)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=12de429, createdName=sunylz, createdTime=Tue Jun 01 21:48:04 CST 2021, time=2021-06-01, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1256034, encodeId=a4ce125603452, content=<a href='/topic/show?id=587f6339050' target=_blank style='color:#2F92EE;'>#死亡风险#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=81, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=63390, encryptionId=587f6339050, topicName=死亡风险)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=74808, createdName=quxin068, createdTime=Mon Nov 16 11:48:04 CST 2020, time=2020-11-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1519424, encodeId=48fb15194248e, content=<a href='/topic/show?id=36ab23962ed' target=_blank style='color:#2F92EE;'>#二氧化氮#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=84, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=23962, encryptionId=36ab23962ed, topicName=二氧化氮)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=820611265628, createdName=Luyuxie_13, createdTime=Mon Nov 16 11:48:04 CST 2020, time=2020-11-16, status=1, ipAttribution=)]
  3. [GetPortalCommentsPageByObjectIdResponse(id=1894784, encodeId=97251894e840d, content=<a href='/topic/show?id=e45b6e859f3' target=_blank style='color:#2F92EE;'>#特发性#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=57, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=67859, encryptionId=e45b6e859f3, topicName=特发性)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=74808, createdName=xinxin088, createdTime=Sun Jun 20 03:48:04 CST 2021, time=2021-06-20, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1983695, encodeId=d56a1983695dd, content=<a href='/topic/show?id=628553048e3' target=_blank style='color:#2F92EE;'>#患者死亡#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=73, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=53048, encryptionId=628553048e3, topicName=患者死亡)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=12de429, createdName=sunylz, createdTime=Tue Jun 01 21:48:04 CST 2021, time=2021-06-01, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1256034, encodeId=a4ce125603452, content=<a href='/topic/show?id=587f6339050' target=_blank style='color:#2F92EE;'>#死亡风险#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=81, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=63390, encryptionId=587f6339050, topicName=死亡风险)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=74808, createdName=quxin068, createdTime=Mon Nov 16 11:48:04 CST 2020, time=2020-11-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1519424, encodeId=48fb15194248e, content=<a href='/topic/show?id=36ab23962ed' target=_blank style='color:#2F92EE;'>#二氧化氮#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=84, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=23962, encryptionId=36ab23962ed, topicName=二氧化氮)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=820611265628, createdName=Luyuxie_13, createdTime=Mon Nov 16 11:48:04 CST 2020, time=2020-11-16, status=1, ipAttribution=)]
  4. [GetPortalCommentsPageByObjectIdResponse(id=1894784, encodeId=97251894e840d, content=<a href='/topic/show?id=e45b6e859f3' target=_blank style='color:#2F92EE;'>#特发性#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=57, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=67859, encryptionId=e45b6e859f3, topicName=特发性)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=74808, createdName=xinxin088, createdTime=Sun Jun 20 03:48:04 CST 2021, time=2021-06-20, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1983695, encodeId=d56a1983695dd, content=<a href='/topic/show?id=628553048e3' target=_blank style='color:#2F92EE;'>#患者死亡#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=73, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=53048, encryptionId=628553048e3, topicName=患者死亡)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=12de429, createdName=sunylz, createdTime=Tue Jun 01 21:48:04 CST 2021, time=2021-06-01, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1256034, encodeId=a4ce125603452, content=<a href='/topic/show?id=587f6339050' target=_blank style='color:#2F92EE;'>#死亡风险#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=81, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=63390, encryptionId=587f6339050, topicName=死亡风险)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=74808, createdName=quxin068, createdTime=Mon Nov 16 11:48:04 CST 2020, time=2020-11-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1519424, encodeId=48fb15194248e, content=<a href='/topic/show?id=36ab23962ed' target=_blank style='color:#2F92EE;'>#二氧化氮#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=84, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=23962, encryptionId=36ab23962ed, topicName=二氧化氮)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=820611265628, createdName=Luyuxie_13, createdTime=Mon Nov 16 11:48:04 CST 2020, time=2020-11-16, status=1, ipAttribution=)]

相关资讯

JAHA:HDL抗炎功能、心血管疾病和死亡风险

在以慢性炎症为基础招募的JUPITER参与者中,HII与心血管疾病/死亡率有关,其最佳抗炎HII范围为0.5至1.0。HDL抗炎功能与心血管疾病/死亡风险之间的这种非线性关系可能部分解释了HDL悖论。

Aliment Pharm Ther: 适度喝咖啡,就可以降低近一半的肝病死亡率?

肝病是导致人类健康的杀手之一,据统计,全球每年约超过100万人死于肝硬化,约七十四万人因肝硬化引发的肝癌死亡,占每年总死亡人数的3.5%以上。

Anesth Analg :研究表明,阿司匹林可以降低COVID-19住院患者的死亡风险

阿司匹林(Aspirin)自发明以来已有100多年历史,如今的它作为一种解热镇痛药已然走进千家万户。越来越多的研究表明阿司匹林对神经退行性疾病、癌症等重大疾病也有着一定的预防和治疗效用。

Nat Med:燃烧一样的卡路里,运动强度高低有差吗?《自然-医学》发表剑桥大学10万人研究

我们都知道,运动有益健康。但是,运动强度怎么选,尤其是在运动总量一样的情况下,低强度长时间和高强度高效率孰优孰劣?我们还没有确切的答案。

感染新冠死亡风险5-9岁儿童很低 每增加5岁增0.59%

国际著名学术期刊《自然》最新发表一项新的流行病学模型研究论文称,在新冠病毒(SARS-CoV-2)感染导致死亡风险方面,65岁以下人群按年龄划分在各国一致;5-9岁儿童的感染相关死亡风险最低,年龄每增

BMJ Open Diabetes Res Care:日本学者揭示:多喝绿茶和咖啡,可显著降低糖尿病患者死亡风险

糖尿病是一组由多病因引起的以慢性高血糖为特征的终身性代谢性疾病。其中,2型糖尿病患者更容易患循环系统疾病、痴呆症、癌症以及骨病等疾病。尽管治疗该疾病的药物不断出现,但改变生活方式仍然是治疗的基石。

Baidu
map
Baidu
map
Baidu
map