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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
阻塞性睡眠呼吸暂停治疗的长期有效性和获得治疗的差异:对我们所有人数据的研究
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

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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.
期刊论文(13)
专著(0)
科研奖励(0)
会议论文
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
8
    Using agent-based modeling to compare strategies that can reduce rural-urban disparities in cardiovascular disease
    • 批准号:
      10341094
    • 项目类别:
    • 资助金额:
      $0.0万
    • 财政年份:
      2019
    • 负责人:
      Donglan Zhang
    • 依托单位:
    Using agent-based modeling to compare strategies that can reduce rural-urban disparities in cardiovascular disease
    • 批准号:
      9976596
    • 项目类别:
    • 资助金额:
      $38.41万
    • 财政年份:
      2019
    • 负责人:
      Donglan Zhang
    • 依托单位:
    Using agent-based modeling to compare strategies that can reduce rural-urban disparities in cardiovascular disease
    • 批准号:
      10092827
    • 项目类别:
    • 资助金额:
      $38.42万
    • 财政年份:
      2019
    • 负责人:
      Donglan Zhang
    • 依托单位:
    Using agent-based modeling to compare strategies that can reduce rural-urban disparities in cardiovascular disease
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