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Marijuana Use and Hemoglobin Concentrations in NHANES 2009-2018: Implications for Subclinical Hypoxemia. 2009-2018 年 NHANES 中的大麻使用情况和血红蛋白浓度:亚临床低氧血症的影响。
Pub Date : 2024-11-01 DOI: 10.1513/AnnalsATS.202404-357OC
Cancan Zhang, Hui Zhang, Bo Zhang, Julia Lindenberg, Maelys J Amat, Mary B Rice, Kenneth J Mukamal

Rationale: Cannabis use is rapidly growing in the United States, but its health implications are poorly understood, particularly when compared with cigarette smoking. Previous research conducted on animal models or nonrepresentative populations with small sample sizes has yielded mixed results on the impact of marijuana use on hemoglobin concentrations, which might reflect subclinical hypoxemia and/or carbon monoxide exposure. Objectives: We evaluated the association between marijuana use and hemoglobin concentrations in a nationally representative sample of U.S. adults. Methods: This cross-sectional study included 16,038 individuals 18-59 years of age enrolled in National Health and Nutrition Examination Survey (NHANES) from 2009 to 2018. We related current and former marijuana use with measured hemoglobin concentrations, with adjustment for demographics, education, housing, and cigarette smoking status in multivariable analyses that incorporated complex survey weights. As candidate positive and negative control exposures, we used similar methods to relate cigarette smoking and benzodiazepine use, respectively, with hemoglobin concentrations. Results: Current marijuana use was associated with significantly higher hemoglobin concentrations. After multivariable adjustment, compared with never use, current marijuana use was associated with a 0.111 (95% confidence interval, 0.021 to 0.201) g/dl higher hemoglobin concentration, whereas former use was associated with a 0.047 (95% confidence interval, -0.018 to 0.113) g/dl higher concentration (linear trend P = 0.01). As hypothesized, cigarette smoking was also associated with higher hemoglobin concentrations, whereas benzodiazepine use was not. Conclusions: Among American adults, current marijuana use was associated with higher hemoglobin concentrations, as is cigarette smoking but not benzodiazepine use. These results suggest the possibility that marijuana smoking induces subclinical hypoxemia stimulating hemoglobin production. Further confirmation of this observational finding is needed in light of the increasing medical and recreational use of smoked marijuana products.

理由:大麻的使用在美国迅速增长,但人们对其对健康的影响却知之甚少,尤其是与吸烟相比。以前在动物模型或样本量较小的非代表性人群中进行的研究对使用大麻对血红蛋白水平的影响结果不一,而血红蛋白水平可能反映亚临床低氧血症和/或一氧化碳暴露:我们评估了具有全国代表性的美国成年人样本中吸食大麻与血红蛋白水平之间的关系:这项横断面研究纳入了 2009 年至 2018 年参加美国国家健康与营养调查(NHANES)的 16,038 名 18 至 59 岁的人。我们将目前和以前使用大麻的情况与测量的血红蛋白水平联系起来,并在纳入复杂调查权重的多变量分析中对人口统计学、教育、住房和吸烟状况进行了调整。作为候选的阳性和阴性对照暴露,我们使用类似的方法将吸烟和使用苯并二氮杂卓分别与血红蛋白浓度联系起来:结果:目前吸食大麻与血红蛋白浓度明显升高有关。经多变量调整后,与从未吸食大麻相比,目前吸食大麻与血红蛋白浓度升高 0.111,95% CI [0.021,0.201] g/dL 相关,而以前吸食大麻与血红蛋白浓度升高 0.047,95% CI [-0.018,0.113] g/dL 相关(线性趋势 p=0.01)。正如假设的那样,吸烟也与血红蛋白浓度升高有关,而使用苯并二氮杂卓则无关:结论:在美国成年人中,目前吸食大麻与血红蛋白浓度升高有关,吸烟也与血红蛋白浓度升高有关,但吸食苯并二氮杂卓类药物与血红蛋白浓度升高无关。这些结果表明,吸食大麻可能诱发亚临床低氧血症,刺激血红蛋白生成。鉴于吸食大麻产品的医疗和娱乐用途日益增多,这一观察结果需要进一步证实。
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引用次数: 0
When You Cannot Catch Your Breath after a Cold. 感冒后喘不过气来。
Pub Date : 2024-11-01 DOI: 10.1513/AnnalsATS.202403-281CC
Gisela I Banauch, Sarang Raj
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引用次数: 0
Is Smoked Marijuana a Risk Factor for Chronic Obstructive Pulmonary Disease? An Enduring Controversy. 吸食大麻是慢性阻塞性肺病的危险因素吗?争论不休。
Pub Date : 2024-11-01 DOI: 10.1513/AnnalsATS.202405-478PS
Donald P Tashkin
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引用次数: 0
Pulse Fiction: The SpO2-SaO2 Gap in Methemoglobinemia. 脉搏小说:高铁血红蛋白血症中的 SpO2-SaO2 差距。
Pub Date : 2024-11-01 DOI: 10.1513/AnnalsATS.202405-466CC
Daniel Boctor, Suresh Garudadri, Grace Donzelli, Michael H Lee
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引用次数: 0
Impact of Discontinuing Both Hypertonic Saline and Dornase Alfa after Elexacaftor-Tezacaftor-Ivacaftor in Cystic Fibrosis. 囊性纤维化患者服用 Elexacaftor/Tezacaftor/Ivacaftor 后停用高渗盐水和 Dornase Alfa 的影响
Pub Date : 2024-11-01 DOI: 10.1513/AnnalsATS.202404-366OC
Nicole Mayer-Hamblett, Alex H Gifford, Margaret Kloster, Renee Russell, Andrew T Braun, Ronald L Gibson, Jordana E Hoppe, Raksha Jain, Rachel W Linnemann, Theodore G Liou, Jerimiah Lysinger, Carlos Milla, Kristin A Riekert, Gregory S Sawicki, Julia Young, David Nichols

Rationale: Evaluating approaches to reduce treatment burden is a research priority among people with cystic fibrosis on highly effective modulators, including elexacaftor-tezacaftor-ivacaftor (ETI). Objectives: We sought to evaluate the impact of discontinuing both hypertonic saline (HS) and dornase alfa (DA) versus continuing both therapies among a subgroup of participants in the SIMPLIFY study who sequentially participated in trials evaluating the independent clinical effects of discontinuing HS and DA. Methods: SIMPLIFY participants ≥12 years old on ETI and constituting a subgroup using both HS and DA at study entry were randomized to the HS or DA trial and then randomized 1:1 to continue or discontinue the applicable therapy for 6 weeks. After completion of the first trial, eligible participants could enroll in the second trial beginning with a 2-week run-in. Study outcomes were compared across the duration of SIMPLIFY participation between a cohort remaining on both therapies during SIMPLIFY and a cohort that sequentially discontinued both as a result of trial randomizations. Multivariable regression models were used to estimate treatment differences, adjusted for time between trials, trial order, baseline age, sex at birth, and percent predicted forced expiratory volume in 1 second (ppFEV1) at study entry. Results: Forty-three participants discontinued both therapies by the end of SIMPLIFY, and 63 remained on both, with overall average ppFEV1 of 96.7% at study entry and 3.9 months as the average duration of follow-up from beginning of the first trial to completion of the second trial, including time between trials. No clinically meaningful difference in the change in ppFEV1 from baseline to completion of the second trial was observed between those who discontinued and those who remained on both therapies (difference: 0.22% off-on; 95% confidence interval = -1.60, 2.03). Changes in lung clearance index at 2.5% starting concentration, patient-reported outcomes, and safety outcomes were also comparable. Patient-reported treatment burden, as measured by a Cystic Fibrosis Questionnaire-Revised subscale, significantly decreased in those who discontinued both therapies. Conclusions: SIMPLIFY participants who sequentially discontinued both HS and DA experienced no meaningful changes in clinical outcomes and reported decreased treatment burden as compared with those who remained on both therapies. These data continue to inform a new era of postmodulator care of people with cystic fibrosis.

理由 评估减轻治疗负担的方法是使用高效调节剂(包括 elexacaftor/tezacaftor/ivacaftor (ETI))的 CF 患者(pwCF)的研究重点。目的 在 SIMPLIFY 研究的一部分参与者中,评估同时停用高渗盐水 (HS) 和多纳酶α (DA) 与同时继续使用这两种疗法的影响,这些参与者先后参加了评估停用 HS 和 DA 的独立临床效果的试验。方法 SIMPLIFY 研究中年龄≥12 岁的 ETI 参与者组成一个亚组,在研究开始时同时使用 HS 和 DA,他们被随机分配到 HS 或 DA 试验中,然后以 1:1 的比例随机分配继续或停止适用疗法 6 周。完成第一项试验后,符合条件的参与者可参加第二项试验,为期 2 周。我们比较了在 SIMPLIFY 试验期间继续使用两种疗法的组群与因试验随机化而先后停止两种疗法的组群在整个 SIMPLIFY 试验期间的研究结果。采用多变量回归模型来估计治疗差异,并根据试验间隔时间、试验顺序、基线年龄、出生时性别和研究开始时预测的一秒用力呼气容积百分比(ppFEV1)进行调整。结果 在SIMPLIFY试验结束时,有43名参与者停止了两种疗法,63名参与者继续使用两种疗法,研究开始时的ppFEV1总平均值为96.7%,从第一项试验开始到第二项试验结束的平均随访时间为3.9个月,包括试验之间的时间。从基线到第二次试验完成期间,ppFEV1的变化在停止使用两种疗法与继续使用两种疗法之间未观察到有临床意义的差异(差异:0.22% Off-On,95% CI:-1.60,2.03)。LCI2.5、患者报告和安全性结果的变化也具有可比性。通过 CFQ-R 分量表测量,停止两种疗法的患者报告的治疗负担显著减轻。结论 SIMPLIFY 参与者相继停用 HS 和 DA 后,其临床结果没有发生有意义的变化,与同时使用两种疗法的患者相比,治疗负担有所减轻。这些数据将继续为 pwCF 调制器后护理的新时代提供信息。
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引用次数: 0
Reduction in 3-Year Risk of Death or Lung Transplantation for Individuals with Advanced CF Lung Disease Treated with Elexacaftor/Tezacaftor/Ivacaftor. 降低晚期 CF 肺病患者接受 Elexacaftor/Tezacaftor/Ivacaftor 治疗后 3 年的死亡或肺移植风险。
Pub Date : 2024-10-31 DOI: 10.1513/AnnalsATS.202405-451RL
Allison J Love, Sameer Desai, Stephanie Y Cheng, Anne L Stephenson, Sanja Stanojevic, Alessandro N Franciosi, Bradley S Quon
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引用次数: 0
Machine Learning Model Predictors of Intrapleural tPA and DNase Failure in Pleural Infection: A Multicenter Study. 机器学习模型预测胸膜腔内 tPA 和 DNase 在胸膜感染中的失败:一项多中心研究。
Pub Date : 2024-10-29 DOI: 10.1513/AnnalsATS.202402-151OC
Danai Khemasuwan, Candice Wilshire, Chakravathy Reddy, Christopher Gilbert, Jed Gordon, Akshu Balwan, Trinidad M Sanchez, Billie Bixby, Jeffrey S Sorensen, Samira Shojaee

Rationale: Intrapleural enzyme therapy (IET) with tissue plasminogen activator (tPA) and deoxyribonuclease (DNase) has been shown to reduce the need for surgical intervention for complicated parapneumonic effusion/empyema (CPPE/empyema). Failure of IET may lead to delayed care, and increased length of stay.

Objective: The goal of this study was to identify risk factors for failure of IET.

Methods: We performed a multicenter, retrospective study of patients who received IET for the treatment of CPPE/empyema. Clinical and radiological variables at the time of diagnosis were included. We compared four different machine learning classifiers (L1-penalized logistic regression, support vector machine (SVM), XGBoost and LightGBM) by multiple bootstrap-validated metrics, including F-beta to demonstrate model performances.

Results: 466 participants who received IET for pleural infection were included from five institutions across the United States. Resolution of CPPE/empyema with IET was achieved in 78% (n=365). SVM performed superior with median F-beta of 56%, followed by L1-penalized logistic regression, LGBM and XGBoost. Clinical and radiological variables were graded based on their ranked variable importance. The top two significant predictors of IET failure using SVM were the presence of an abscess/necrotizing pneumonia (17%) and pleural thickening (13%). Similarly, LightGBM identified abscess/necrotizing pneumonia (35%) and pleural thickening (26%) and XGBoost indicated pleural thickening (36%) and abscess/necrotizing pneumonia (17%) as the most significant predictors of treatment failure. Predictors identified by L1-penalized logistic regression model were pleural thickening (18%) and pleural fluid LDH (9%).

Conclusions: The presence of abscess/necrotizing pneumonia and pleural thickening consistently ranked among the strongest predictors of IET failure in all machine learning models. The difference in rankings between models may be a consequence of the different algorithms used by each model. These results indicate that the presence of abscess/necrotizing pneumonia, and pleural thickening may predict IET failure. These results should be confirmed in larger studies.

理由:使用组织纤溶酶原激活剂(tPA)和脱氧核糖核酸酶(DNase)进行胸膜腔内酶疗法(IET)已被证明可减少并发症性肺旁积液/水肿(CPPE/水肿)手术干预的需要。IET失败可能会导致治疗延误和住院时间延长:本研究旨在确定 IET 失败的风险因素:我们对接受 IET 治疗 CPPE/水肿的患者进行了一项多中心回顾性研究。研究纳入了诊断时的临床和放射学变量。我们通过多重引导验证指标(包括 F-beta)比较了四种不同的机器学习分类器(L1-惩罚逻辑回归、支持向量机(SVM)、XGBoost 和 LightGBM),以证明模型的性能:来自美国五家医疗机构的466名因胸膜感染而接受IET治疗的患者被纳入研究。78%的患者(n=365)通过 IET 解决了 CPPE/水肿问题。SVM 的中位 F-beta 值为 56%,表现优异,其次是 L1 惩罚逻辑回归、LGBM 和 XGBoost。临床和放射学变量根据其重要性进行了分级。使用 SVM 预测 IET 失败的前两个重要因素是存在脓毒症/坏死性肺炎(17%)和胸膜增厚(13%)。同样,LightGBM 发现脓毒症/坏死性肺炎(35%)和胸膜增厚(26%),XGBoost 发现胸膜增厚(36%)和脓毒症/坏死性肺炎(17%)是最重要的治疗失败预测因素。L1-惩罚性逻辑回归模型确定的预测因素是胸膜增厚(18%)和胸腔积液 LDH(9%):结论:在所有机器学习模型中,脓毒症/坏死性肺炎和胸膜增厚一直是预测 IET 治疗失败的最有力因素。不同模型之间的排名差异可能是每个模型使用的算法不同造成的。这些结果表明,脓毒症/坏死性肺炎和胸膜增厚可预测 IET 失败。这些结果应在更大规模的研究中得到证实。
{"title":"Machine Learning Model Predictors of Intrapleural tPA and DNase Failure in Pleural Infection: A Multicenter Study.","authors":"Danai Khemasuwan, Candice Wilshire, Chakravathy Reddy, Christopher Gilbert, Jed Gordon, Akshu Balwan, Trinidad M Sanchez, Billie Bixby, Jeffrey S Sorensen, Samira Shojaee","doi":"10.1513/AnnalsATS.202402-151OC","DOIUrl":"https://doi.org/10.1513/AnnalsATS.202402-151OC","url":null,"abstract":"<p><strong>Rationale: </strong>Intrapleural enzyme therapy (IET) with tissue plasminogen activator (tPA) and deoxyribonuclease (DNase) has been shown to reduce the need for surgical intervention for complicated parapneumonic effusion/empyema (CPPE/empyema). Failure of IET may lead to delayed care, and increased length of stay.</p><p><strong>Objective: </strong>The goal of this study was to identify risk factors for failure of IET.</p><p><strong>Methods: </strong>We performed a multicenter, retrospective study of patients who received IET for the treatment of CPPE/empyema. Clinical and radiological variables at the time of diagnosis were included. We compared four different machine learning classifiers (L1-penalized logistic regression, support vector machine (SVM), XGBoost and LightGBM) by multiple bootstrap-validated metrics, including F-beta to demonstrate model performances.</p><p><strong>Results: </strong>466 participants who received IET for pleural infection were included from five institutions across the United States. Resolution of CPPE/empyema with IET was achieved in 78% (n=365). SVM performed superior with median F-beta of 56%, followed by L1-penalized logistic regression, LGBM and XGBoost. Clinical and radiological variables were graded based on their ranked variable importance. The top two significant predictors of IET failure using SVM were the presence of an abscess/necrotizing pneumonia (17%) and pleural thickening (13%). Similarly, LightGBM identified abscess/necrotizing pneumonia (35%) and pleural thickening (26%) and XGBoost indicated pleural thickening (36%) and abscess/necrotizing pneumonia (17%) as the most significant predictors of treatment failure. Predictors identified by L1-penalized logistic regression model were pleural thickening (18%) and pleural fluid LDH (9%).</p><p><strong>Conclusions: </strong>The presence of abscess/necrotizing pneumonia and pleural thickening consistently ranked among the strongest predictors of IET failure in all machine learning models. The difference in rankings between models may be a consequence of the different algorithms used by each model. These results indicate that the presence of abscess/necrotizing pneumonia, and pleural thickening may predict IET failure. These results should be confirmed in larger studies.</p>","PeriodicalId":93876,"journal":{"name":"Annals of the American Thoracic Society","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142549496","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Agreement Between Sepsis-2 and Sepsis-3 Definitions Among Patients Admitted to the Intensive Care Unit. 重症监护室入院患者中败血症-2 和败血症-3 定义的一致性。
Pub Date : 2024-10-29 DOI: 10.1513/AnnalsATS.202409-958RL
Ann A Zalucky, Bruno Evrard, Kevin Delucchi, Hanjing Zhuo, Nelson Wu, Kathleen D Liu, Carolyn M Hendrickson, Michael A Matthay, Kirsten N Kangelaris, Carolyn S Calfee
{"title":"Agreement Between Sepsis-2 and Sepsis-3 Definitions Among Patients Admitted to the Intensive Care Unit.","authors":"Ann A Zalucky, Bruno Evrard, Kevin Delucchi, Hanjing Zhuo, Nelson Wu, Kathleen D Liu, Carolyn M Hendrickson, Michael A Matthay, Kirsten N Kangelaris, Carolyn S Calfee","doi":"10.1513/AnnalsATS.202409-958RL","DOIUrl":"https://doi.org/10.1513/AnnalsATS.202409-958RL","url":null,"abstract":"","PeriodicalId":93876,"journal":{"name":"Annals of the American Thoracic Society","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142549494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Long-Term Exposure to Nitrogen Dioxide and Ozone and Respiratory Health in Children. 儿童长期暴露于二氧化氮和臭氧与呼吸系统健康。
Pub Date : 2024-10-29 DOI: 10.1513/AnnalsATS.202405-455OC
Hilary L Zetlen, Sheryl L Rifas-Shiman, Heike Gibson, Emily Oken, Diane R Gold, Mary B Rice

Rationale: Further evaluation of the impact of long-term exposure to the gaseous air pollutants nitrogen dioxide (NO2) and ozone (O3) on child lung function, and of NO2 or O3 on eosinophilic airway inflammation, is needed.

Objective: To determine whether NO2 and O3 are associated with lung function and FeNO in children.

Methods: We measured lung function (FEV1 and FVC) at mid-childhood (mean age 7.9 years, n=703), early teens (13.2 years, n=976), and mid-teen (17.6 years, n=624) study visits, and fractional exhaled nitric oxide (FeNO) at the early and mid-teen study visits in Project Viva, a cohort of mother-child pairs in the Boston, MA area. Long-term exposure to NO2 and O3 was estimated at home address using geospatial models. We examined associations of home address NO2 and O3 exposure and proximity to roadway with lung function and FeNO using linear regression models, adjusting for age, sex, height, weight, season, relative humidity, temperature, parental smoking, and measures of socioeconomic status. We examined for effect modification of the mid-teen associations by blood eosinophil level, physical activity, aeroallergen sensitization, and parental atopy.

Results: Median exposure to NO2 was 33.1 ppb (interquartile range [IQR] 10.4 ppb) and to O3 was 35.3 ppb (IQR 3.4) in the first year of life. Exposure to NO2 was associated with lower FEV1 and FVC across all age groups and exposure time intervals: e.g. an IQR increment of NO2 exposure from birth through the early teen visit was associated with 189.9 mL lower FEV1 (95% CI -273.3, -106.5) at the mid-teen visit. Lifetime NO2 exposure at was associated with higher FeNO at the early teen visit: e.g. 16.2% higher FeNO [95% CI 7.1-26.4%) per IQR of lifetime NO2 through the early teen visit. O3 exposure was not associated with lung function or FeNO. Aeroallergen sensitization (measured in a subset of participants) modified associations of NO2 and O3 with FeNO.

Conclusions: Exposure to NO2 was associated with lower lung function and higher FeNO among generally healthy children and teenagers. As NO2 exposure levels were within the annual EPA standard, these findings suggest a need to reduce exposure to this pollutant to optimize child respiratory health.

理由需要进一步评估长期暴露于气态空气污染物二氧化氮(NO2)和臭氧(O3)对儿童肺功能的影响,以及二氧化氮或臭氧对嗜酸性粒细胞气道炎症的影响:目的:确定二氧化氮和臭氧是否与儿童肺功能和 FeNO 有关:我们在马萨诸塞州波士顿地区的母婴队列 "Project Viva "中测量了儿童中期(平均年龄 7.9 岁,人数为 703 人)、青少年早期(13.2 岁,人数为 976 人)和青少年中期(17.6 岁,人数为 624 人)的肺功能(FEV1 和 FVC),以及青少年早期和中期的呼出一氧化氮分数(FeNO)。利用地理空间模型估算了家庭住址的二氧化氮和臭氧长期暴露量。我们使用线性回归模型研究了家庭住址的二氧化氮和臭氧暴露量以及距离道路的远近与肺功能和 FeNO 的关系,并对年龄、性别、身高、体重、季节、相对湿度、温度、父母吸烟情况以及社会经济状况进行了调整。我们还研究了血液中嗜酸性粒细胞水平、体力活动、空气过敏原致敏性和父母的过敏症对青少年中期相关性的影响:出生后第一年接触二氧化氮的中位数为 33.1 ppb(四分位数间距 [IQR] 10.4 ppb),接触臭氧的中位数为 35.3 ppb(四分位数间距 [IQR] 3.4)。在所有年龄组和暴露时间间隔内,暴露于二氧化氮都会导致 FEV1 和 FVC 降低:例如,从出生到青少年早期,暴露于二氧化氮的 IQR 增量会导致青少年中期的 FEV1 降低 189.9 mL(95% CI -273.3, -106.5)。终生暴露于二氧化氮与青少年早期检查时较高的 FeNO 值有关:例如,终生暴露于二氧化氮的 IQR 值越高,青少年早期检查时的 FeNO 值就高出 16.2% [95% CI 7.1-26.4%]。暴露于 O3 与肺功能或 FeNO 无关。空气致敏原(在一部分参与者中测量)改变了二氧化氮和臭氧与血清凈化率的关系:结论:在一般健康的儿童和青少年中,暴露于二氧化氮与较低的肺功能和较高的 FeNO 有关。由于二氧化氮的暴露水平在美国环保署的年度标准范围内,这些研究结果表明有必要减少这种污染物的暴露,以优化儿童的呼吸系统健康。
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引用次数: 0
Peak Flow Feedback Intervention Improves Under-Perception of Airflow Limitation in Pediatric Asthma: A Randomized Clinical Trial. 峰值流量反馈干预可改善小儿哮喘患者对气流限制的认知不足:随机临床试验
Pub Date : 2024-10-25 DOI: 10.1513/AnnalsATS.202406-637OC
Jonathan M Feldman, Deepa Rastogi, Karen Warman, Denise Serebrisky, Kimberly Arcoleo

Rationale: Under-perception of asthma symptoms is associated with poor asthma outcomes.

Objective: We assessed the effects of a behavioral intervention for improving perception of airflow limitation and asthma outcomes.

Methods: A two-arm randomized controlled trial compared peak expiratory flow (PEF) feedback versus supportive counseling. Latino and Black adolescents with asthma ages 10-17 years old and caregivers were recruited from hospitals in the Bronx, NY. PEF feedback sessions reviewed accuracy of PEF guesses and medication adherence data, and targeted behavior change using motivational interviewing and problem-solving skills training. Supportive counseling received emotional support related to asthma. Both groups received 3 sessions across 6 weeks. All participants were blinded to PEF while guessing PEF during pre-intervention, 1, 6, and 12-month follow-up. Children in PEF feedback saw actual PEF after guesses were locked in during the 6-week intervention. Participants and assessors were blinded to group assignment.

Measurements: The primary outcome was under-perception of airflow limitation (divergence between actual PEF and guesses) on home spirometers. Secondary outcomes included daily PEF and forced expiratory volume in 1 second (FEV1), inhaled corticosteroid adherence measured by electronic monitors, Asthma Control Test, and emergency healthcare use for asthma.

Results: The sample comprised 354 children (M = 13.2±2.2 years; 62% Latino, 38% Black) and caregivers. PEF feedback (N = 153 analyzed) demonstrated greater improvements at 1-month follow-up on under-perception of airflow limitation (difference-in-differences, -12.64; 95% CI, -17.54 to -7.74), % personal best PEF (9.89; 95% CI, 7.13 to 12.65), % predicted FEV1 (4.93; 95% CI, 0.95 to 8.90) and ICS adherence (16.02; 95% CI, 7.15 to 24.89) compared with supportive counseling (N = 152 analyzed). At 12-month follow-up PEF feedback maintained improvements on under-perception of airflow limitation (-13.87; 95% CI, -19.03 to -8.71), higher PEF (14.23; 95% CI, 11.37 to 17.08) and %FEV1 (5.62; 95% CI, 1.56 to 9.67), and had smaller declines in ICS adherence (17.51; 95% CI, 7.12 to 27.89) versus pre-intervention than supportive counseling. No between-group differences existed for asthma control or healthcare use.

Conclusion: The efficacy and sustainability of PEF feedback was established in improving children's perception of airflow limitation, pulmonary function, and medication adherence. Clinical trial registration available at www.

Clinicaltrials: gov, ID: NCT02702687.

理由:对哮喘症状认识不足与哮喘治疗效果不佳有关:对哮喘症状认识不足与哮喘治疗效果不佳有关:我们评估了改善气流受限感知和哮喘预后的行为干预效果:一项双臂随机对照试验比较了呼气流量峰值(PEF)反馈与支持性咨询。研究人员从纽约布朗克斯区的医院中招募了 10-17 岁患有哮喘的拉丁裔和黑人青少年以及照顾者。PEF 反馈课程审查了 PEF 猜测的准确性和服药依从性数据,并通过动机访谈和问题解决技能培训有针对性地改变行为。支持性咨询则提供与哮喘有关的情感支持。两组都接受了为期 6 周的 3 次治疗。在干预前、1 个月、6 个月和 12 个月的随访中,所有参与者在猜测 PEF 时都是盲测。在为期 6 周的干预中,儿童在猜测被锁定后,会看到 PEF 反馈中的实际 PEF。参与者和评估者均为盲人:主要结果是对家庭肺活量计上气流限制的感知不足(实际 PEF 与猜测之间的偏差)。次要结果包括每日PEF和1秒用力呼气容积(FEV1)、通过电子监测仪测量的吸入皮质类固醇依从性、哮喘控制测试和哮喘急诊就医情况:样本包括 354 名儿童(男 = 13.2±2.2 岁;62% 拉丁裔,38% 黑人)和护理人员。PEF 反馈(分析人数 = 153)显示,在 1 个月的随访中,气流受限感知不足(差值差异,-12.64;95% CI,-17.54 至 -7.74)、个人最佳 PEF 百分比、哮喘患者的哮喘治疗使用率、哮喘患者的哮喘治疗使用率和哮喘患者的哮喘治疗使用率均有较大改善。74)、个人最佳 PEF 百分比(9.89;95% CI,7.13 至 12.65)、预测 FEV1 百分比(4.93;95% CI,0.95 至 8.90)和 ICS 依从性(16.02;95% CI,7.15 至 24.89)与支持性咨询(分析人数 = 152)相比有更大改善。在为期 12 个月的随访中,与支持性咨询相比,PEF 反馈疗法在气流受限感知不足(-13.87;95% CI,-19.03 至 -8.71)、PEF(14.23;95% CI,11.37 至 17.08)和 FEV1%(5.62;95% CI,1.56 至 9.67)方面保持了改善,在 ICS 依从性(17.51;95% CI,7.12 至 27.89)方面的下降幅度较小。在哮喘控制或医疗保健使用方面不存在组间差异:PEF反馈在改善儿童对气流受限、肺功能和用药依从性的认知方面具有疗效和可持续性。临床试验注册请访问 www.Clinicaltrials: gov,ID:NCT02702687。
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引用次数: 0
期刊
Annals of the American Thoracic Society
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