The long-term effectiveness of and the disparities in access to treatments for obstructive sleep apnea: a study on the All of Us data
The long-term effectiveness of and the disparities in access to treatments for obstructive sleep apnea: a study on the All of Us data
批准号:
10659816
负责人:
Donglan Zhang
金额:
$14.67万
依托单位国家:
美国
项目类别:
财政年份:
2019
资助国家:
美国
项目状态:
未结题
起止时间:
2019-09-11 至 2025-02-28
关键词:
AffectAll of Us Research ProgramAmericanApneaArousalBig DataBiologyBlack PopulationsCardiovascular DiseasesCardiovascular systemCharacteristicsChronicClinical TrialsCodeConsensusContinuous Positive Airway PressureDataDatabasesDiabetes MellitusDiagnosisDiseaseDisease OutcomeEffectivenessElderlyEnrollmentEnvironmentEventExposure toFunctional disorderGoalsHealth Services AccessibilityHealthcareHigh PrevalenceHispanic PopulationsHypoxemiaIndividualKnowledgeLeadLife StyleLiteratureLogistic RegressionsLong-Term EffectsLongitudinal StudiesLongitudinal cohortMachine LearningMediationMeta-AnalysisMinorityMorbidity - disease rateNon-Insulin-Dependent Diabetes MellitusNot Hispanic or LatinoObesityObstructive Sleep ApneaOperative Surgical ProceduresOutcomeOxidative StressParticipantPathway interactionsPatientsPersonsPopulationPrecision therapeuticsPrevalenceReduce health disparitiesResearchResearch PersonnelRiskSample SizeSeveritiesSleepSleep Apnea SyndromesSymptomsTreatment outcomeUnited StatesUnited States National Institutes of Healthalternative treatmentbaseburden of illnesscardiovascular disorder riskcardiovascular risk factorcomparative effectivenessdesignethnic differenceethnic minorityethnic minority populationexperiencehealth care availabilityhealth datahealth disparityhigh riskinterestmenmortalityneuropsychiatryparent grantpersonalized medicineprecision medicinepredictive modelingracial and ethnicracial and ethnic disparitiesracial minorityrespiratoryrisk prediction modelsocial implicationsocioeconomicsstandard of caretreatment effect
中文摘要
项目摘要
阻塞性睡眠呼吸暂停(OSA)是最常见的睡眠相关呼吸障碍,
高达38%的北美人。OSA导致低氧血症和氧化应激,
心血管疾病、2型糖尿病和各种慢性疾病的风险。它还
导致健康差异,因为种族和少数民族群体更有可能经历
延迟诊断和治疗比非西班牙裔白人,沿着的事实,这些
少数民族可能有更高的OSA患病率。OSA的治疗,包括持续的
气道正压通气(CPAP)和上气道手术可有效缓解患者的呼吸困难,
呼吸不足症状,因此也被认为可以降低这些发病率的风险。
然而,先前关于CPAP的研究并未显示出对这些结果的显著影响,
由于参与者的遵守情况不佳,调查结果仍然没有定论。此外,文学
关于上呼吸道手术的长期益处是非常缺乏的。也很重要
描述OSA患者的特征,这些患者将具有较高的长期发病风险。拟议
该项目将利用美国国立卫生研究院全民研究计划的大数据
研究CPAP和手术对下游发病率的长期影响,并确定
这些结果的风险OSA患者的关键预测因素。此外,该项目旨在
评估获得OSA治疗的种族和民族差异,以及中介效应
社会经济和医疗保健因素。该项目如果成功实施,
通过更好地了解生物多样性的益处,
每次治疗,促进个性化医疗,减少OSA的健康差异。
英文摘要
Project Summary
Obstructive sleep apnea (OSA) is the most common sleep-related breathing disorder that affects
up to 38% of North Americans. OSA causes hypoxemia and oxidative stress that lead to increased
risks of cardiovascular diseases, type 2 diabetes and various chronic conditions. It also
contributes to health disparities as racial and ethnic minority groups are more likely to experience
delay in diagnosis and treatment than non-Hispanic Whites, along with the fact that these
minorities may have a higher prevalence of OSA. Treatments of OSA, including continuous
positive airway pressure (CPAP) and upper airway surgery, are effective in relieving patients'
hypopneic symptoms and therefore also thought to reduce the risks of these morbidities.
However, previous studies on CPAP did not show significant impact on these outcomes and
findings remain inconclusive due to poor compliance of the participants. In addition, literature
regarding the long-term benefits of upper airway surgery is extremely lacking. It is also important
to characterize OSA patients who will have higher risks of long-term morbidities. The proposed
project will leverage the big data from the National Institutes of Health All of Us Research Program
to study the long-term effects of CPAP and surgery on downstream morbidities, and to identify
critical predictors for OSA patients who are at risk of these outcomes. In addition, the project aims
to evaluate the racial and ethnical disparities in access to OSA treatment, and the mediation effect
of socioeconomic and healthcare factors. The project, if successfully carried out, should have
important scientific and social implications by providing a better understanding of the benefit of
each treatment, facilitating personalized medicine, and reducing health disparities in OSA.
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DOI:
10.1007/s40266-022-00981-8
发表时间:
2022-11
期刊:
DRUGS & AGING
影响因子:
2.8
作者:
[Pan, Xi, Zhang, Donglan, Heo, Ji Haeng, Park, Chanhyun, Li, Gang, Dengler-Crish, Christine M., Li, Yan, Gu, Yian, Young, Henry N., Lavender, Devin L., Shi, Lu]
通讯作者:
Shi, Lu
DOI:
10.1177/07334648221139480
发表时间:
2023-03
期刊:
JOURNAL OF APPLIED GERONTOLOGY
影响因子:
3
作者:
[Li, Weixin, Li, Yan, Wen, Ming, Liu, Bian]
通讯作者:
Liu, Bian
DOI:
10.1186/s12888-020-02916-2
发表时间:
2020-10-22
期刊:
BMC psychiatry
影响因子:
4.4
作者:
[Chen Z, Ying J, Ingles J, Zhang D, Rajbhandari-Thapa J, Wang R, Emerson KG, Feng Z]
通讯作者:
Feng Z
Spatiotemporal Optimization for the Placement of Automated External Defibrillators Using Mobile Phone Data.
使用手机数据对自动体外除颤器放置进行时空优化。
DOI:
10.3390/ijgi12030091
发表时间:
2023
期刊:
ISPRS international journal of geo-information
影响因子:
3.4
作者:
[Zhang,Jielu, Mu,Lan, Zhang,Donglan, Rajbhandari-Thapa,Janani, Chen,Zhuo, Pagán,JoséA, Li,Yan, Son,Heejung, Liu,Junxiu]
通讯作者:
Liu,Junxiu
DOI:
10.1080/19475683.2022.2133167
发表时间:
2022
期刊:
ANNALS OF GIS
影响因子:
5
作者:
[Zhang, Xuan, Mu, Lan, Zhang, Donglan, Mao, Yuping, Shi, Lu, Rajbhandari-Thapa, Janani, Chen, Zhuo, Li, Yan, Pagan, Jose A.]
通讯作者:
Pagan, Jose A.
共 8 条
Using agent-based modeling to compare strategies that can reduce rural-urban disparities in cardiovascular disease
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批准号:10341094
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项目类别:
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资助金额:$0.0万
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财政年份:2019
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负责人:Donglan Zhang
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依托单位:
Using agent-based modeling to compare strategies that can reduce rural-urban disparities in cardiovascular disease
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批准号:9976596
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项目类别:
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资助金额:$38.41万
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财政年份:2019
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负责人:Donglan Zhang
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依托单位:
Using agent-based modeling to compare strategies that can reduce rural-urban disparities in cardiovascular disease
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批准号:10092827
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项目类别:
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资助金额:$38.42万
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财政年份:2019
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负责人:Donglan Zhang
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依托单位:
Using agent-based modeling to compare strategies that can reduce rural-urban disparities in cardiovascular disease
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批准号:10623809
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项目类别:
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资助金额:$36.44万
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财政年份:2019
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负责人:Donglan Zhang
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依托单位:
Using agent-based modeling to compare strategies that can reduce rural-urban disparities in cardiovascular disease
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批准号:10619843
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项目类别:
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资助金额:$33.22万
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财政年份:2019
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负责人:Donglan Zhang
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依托单位:
海外基金