Epidemiology and clinical outcomes of diabetic macular edema
Epidemiology and clinical outcomes of diabetic macular edema
批准号:
10480096
负责人:
Aaron Lee
金额:
$19.43万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-09-01 至 2023-08-31
关键词:
AdoptedAdrenal Cortex HormonesAdultAffectAgeAlgorithmsAnemiaBlindnessCardiovascular DiseasesCaringCataract ExtractionClinicClinicalClinical DataCodeCommunitiesComputerized Medical RecordComputerized Patient RecordsDataData ElementData SetDatabasesDevelopmentDiabetes MellitusDiabetic RetinopathyDiagnosisDyslipidemiasEffectivenessEnrollmentEpidemiologyEthnic OriginExclusion CriteriaEyeEye diseasesFoundational SkillsFrequenciesFutureGoalsHandednessHypertensionIncidenceInformation CentersInjectionsInterventionLasersLeadLight CoagulationManualsMasksMeasuresMedicare claimMentorsMentorshipMethodsModelingNatural Language ProcessingNon-Insulin-Dependent Diabetes MellitusOperative Surgical ProceduresOphthalmologistOphthalmologyOutcomePathologyPatient CarePatientsPatternPersonsPharmaceutical PreparationsPharmacotherapyPhasePhenotypePhysiciansPopulationPrediction of Response to TherapyPrevalencePrevalence StudyProceduresProtocols documentationPublic Health InformaticsRandomized Controlled TrialsRegimenResearchResearch ProposalsResourcesRetinaRisk FactorsScientistSeveritiesSleep Apnea SyndromesSmoking StatusSourceStandardizationStructureSystemTest ResultTextTimeTrainingTreatment ProtocolsTreatment outcomeUniversitiesUse EffectivenessValidationVascular Endothelial Growth FactorsVeteransVeterans Health AdministrationVisualVisual AcuityWashingtonautomated algorithmbevacizumabcareerclinical careclinical encounterclinical epidemiologycohortcomparativecomputer sciencediabetes managementdiabeticepidemiology studyhands-on learningintravitreal injectionkidney dysfunctionlaser photocoagulationmaculamacular edemamilitary veteranmortalityproliferative diabetic retinopathyscreeningskillsstatisticstherapy outcometraditional therapytreatment optimizationunstructured data
中文摘要
在数百万退伍军人中,约有25%(2013财年估计为892万)参加了退伍军人健康计划
英文摘要
Approximately 25% of the millions of veterans (est. 8.92 million FY 2013) enrolled for care in Veterans Health
Administration (VHA) have diabetes mellitus, and diabetic macular edema (DME) is the leading cause of vision
loss in the adult diabetic population world-wide. Although diabetic retinopathy has been well-studied,
comparatively little is known about the burden of DME. In fact, only two national prevalence studies and no
national study on the incidence of DME in persons with type 2 diabetes have been conducted. Similarly many
risk factors have been characterized for DR, but no large studies have established predictors for DME.
Beyond the Medicare claims database, the VHA National Patient Care Database (NPCD) contains
standardized administrative data for several aspects of patient care including diagnoses, procedures,
medications, lab test results, vital signs, clinical text notes, and mortality. Because the VA uses teleretinal
screening as routine clinical care for all patients with diabetes with these results included in the NPCD, the
NPCD is an ideal source for studying the epidemiology of and risk factors for DME.
This study proposes to determine the burden of diabetic macular edema, establish risk factors, and
examine treatment outcomes in a previously extracted dataset on 1.98 million veterans who have undergone
diabetic retinopathy screening at least once since 2004. Currently invaluable ophthalmic data are encoded in
unstructured clinical encounter notes in the Computerized Patient Record System (CPRS), and no validated
automated extraction method exists to capture these data elements. An automated extraction method using
natural language processing will be created and validated to unlock key ophthalmic variables. These text
extraction methods will be applicable to extracting ophthalmology data from not only notes of patients with
DME but also any ophthalmology clinical note. This will enable future large scale studies in ophthalmology
using NPCD and be immediately valuable to the research community at large.
The candidate, Dr. Aaron Lee, MD MSCI, is an ophthalmologist with subspecialty training in retina
surgery with a strong background in computer science and epidemiology. His career goal is to become an
independent clinician scientist studying diabetic eye disease with large-scale electronic medical record
extracted data. While he possesses the foundational skills, he seeks to gain training in advanced statistics and
natural language processing to unlock the data captured in unstructured clinical encounter notes. He has
assembled an outstanding mentorship team under the primary mentor, Dr. Edward Boyko, MD MPH. This
mentorship team includes renowned experts in clinical epidemiology, health informatics, ophthalmology, and
natural language processing. This K23 will provide Dr. Lee the structured coursework, mentorship, and applied
learning needed to acquire new research skills. He will leverage key local resources to carry out the proposed
research at the University of Washington and the VA Seattle Epidemiologic Research and Information Center.
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DOI:
10.1001/jamaophthalmol.2021.1284
发表时间:
2021-07-01
期刊:
JAMA ophthalmology
影响因子:
8.1
作者:
[]
通讯作者:
DOI:
10.1136/bjophthalmol-2020-317306
发表时间:
2021-11
期刊:
The British journal of ophthalmology
影响因子:
--
作者:
[Gale R, Gill C, Pikoula M, Lee AY, Hanson RLW, Denaxas S, Egan C, Tufail A, Taylor P, UK EMR Database Users Group]
通讯作者:
UK EMR Database Users Group
Open-Globe Injury Repairs in the American Academy of Ophthalmology IRIS® Registry 2014 - 2018: Incidence, Risk Factors, and Visual Outcomes.
美国眼科IRIS®注册表2014 - 2018年美国眼科造成的伤害维修:发病率,危险因素和视觉结果。
DOI:
10.1016/j.ophtha.2023.03.002
发表时间:
2023-08
期刊:
OPHTHALMOLOGY
影响因子:
13.7
作者:
[Tomaiuolo, Maurizio, Woreta, Fasika A., Li, Alexander, Yonekawa, Yoshihiro, Zhang, Qiang (Ed), Sharpe, James E., Zafar, Sidra, Syed, Zeba A., Ramesh, Sathyadeepak, Lorch, Alice C., Hall, Nathan E., Shah, Ankoor S., Justin, Grant A., Hyman, Leslie]
通讯作者:
Hyman, Leslie
DOI:
10.1136/bjophthalmol-2019-314446
发表时间:
2020-05
期刊:
The British journal of ophthalmology
影响因子:
--
作者:
[Fasler K, Fu DJ, Moraes G, Wagner S, Gokhale E, Kortuem K, Chopra R, Faes L, Preston G, Pontikos N, Patel PJ, Tufail A, Lee AY, Balaskas K, Keane PA]
通讯作者:
Keane PA
De Novo Identification and Visualization of Important Cell Populations for Classic Hodgkin Lymphoma Using Flow Cytometry and Machine Learning.
使用流式细胞术和机器学习对经典霍奇金淋巴瘤的重要细胞群进行从头识别和可视化。
DOI:
10.1093/ajcp/aqab076
发表时间:
2021
期刊:
American journal of clinical pathology
影响因子:
3.5
作者:
[Simonson,PaulD, Wu,Yue, Wu,David, Fromm,JonathanR, Lee,AaronY]
通讯作者:
Lee,AaronY
共 29 条
Epidemiology and clinical outcomes of diabetic macular edema
-
批准号:10231054
-
项目类别:
-
资助金额:$19.43万
-
财政年份:2018
-
负责人:Aaron Lee
-
依托单位:
Epidemiology and clinical outcomes of diabetic macular edema
-
批准号:9756410
-
项目类别:
-
资助金额:$23.31万
-
财政年份:2018
-
负责人:Aaron Lee
-
依托单位: