2024
Evaluating the concordance between International Classification of Diseases, Tenth Revision Code and stroke severity as measured by the National Institutes of Health Stroke Scale
Taha M, Habib M, Lomachinsky V, Hadar P, Newhouse J, Schwamm L, Blacker D, Moura L. Evaluating the concordance between International Classification of Diseases, Tenth Revision Code and stroke severity as measured by the National Institutes of Health Stroke Scale. BMJ Neurology Open 2024, 6: e000831. PMID: 39363950, PMCID: PMC11448239, DOI: 10.1136/bmjno-2024-000831.Peer-Reviewed Original ResearchPaul Coverdell National Acute Stroke ProgramNational Institutes of Health Stroke ScaleInternational Classification of DiseasesClassification of DiseasesHealth Stroke ScaleInternational ClassificationICD-10Acute ischaemic strokeStroke severityICD-10 diagnosis codesStroke ScaleNIHSS scoreMeasures of stroke severityMedicare claims dataIntraclass correlation coefficientNational Institutes of Health Stroke Scale scoreNational InstituteMedicaid Services guidelinesService guidelinesStroke programClinical registryDiagnosis codesClaims dataSampled patientsExpert clinical evaluation
2021
Integration of Regional Hospitalizations, Registry and Vital Statistics Data for Development of a Single Statewide Ischemic Stroke Database
Yan Z, Nielsen V, Song G, Christie A, Schwamm L, Zachrison K. Integration of Regional Hospitalizations, Registry and Vital Statistics Data for Development of a Single Statewide Ischemic Stroke Database. Journal Of Stroke And Cerebrovascular Diseases 2021, 31: 106236. PMID: 34954597, DOI: 10.1016/j.jstrokecerebrovasdis.2021.106236.Peer-Reviewed Original ResearchConceptsStroke databaseDetailed clinical variablesPopulation-based studyLong-term outcomesIndirect identifiersVital statistics databaseHospitalization registryStroke admissionsHospitalization databaseVital statistics dataTerm outcomesVital statusClinical variablesLarge-scale outcome researchClinical registryHospitalization recordsPatient variablesAdministrative databasesClinical dataRich clinical dataRegistryHospitalizationDeterministic linkageCumulative mortalityVital recordsFrequency, Characteristics, and Outcomes of Endovascular Thrombectomy in Patients With Stroke Beyond 6 Hours of Onset in US Clinical Practice
Zachrison K, Schwamm L, Xu H, Matsouaka R, Shah S, Smith E, Xian Y, Fonarow G, Saver J. Frequency, Characteristics, and Outcomes of Endovascular Thrombectomy in Patients With Stroke Beyond 6 Hours of Onset in US Clinical Practice. Stroke 2021, 52: 3805-3814. PMID: 34470490, DOI: 10.1161/strokeaha.121.034069.Peer-Reviewed Original ResearchConceptsAcute ischemic stroke patientsEndovascular thrombectomyIschemic stroke patientsStroke patientsEVT casesGuidelines-Stroke hospitalsUS clinical practiceLower stroke severityClinical practice settingEVT outcomesEVT timesHospital mortalityNontrial settingDischarge dispositionIschemic strokePatient characteristicsStroke severityAtrial fibrillationFunctional outcomeClinical registryHospital characteristicsPatientsClinical practicePractice settingsStudy period
2018
Quality of care for ischemic stroke in China vs India: Findings from national clinical registries.
Li Z, Pandian J, Sylaja P, Wang Y, Zhao X, Liu L, Wang C, Khurana D, Srivastava M, Kaul S, Arora D, Schwamm L, Wang Y, Singhal A. Quality of care for ischemic stroke in China vs India: Findings from national clinical registries. Neurology 2018, 91: e1348-e1354. PMID: 30158158, PMCID: PMC6177271, DOI: 10.1212/wnl.0000000000006291.Peer-Reviewed Original ResearchConceptsChina National Stroke Registry IIGreater stroke severityStroke risk factorsRisk factorsStroke severityClinical outcomesStroke careIndian patientsAcademic stroke centerNational clinical registryIschemic stroke patientsBurden of strokeIschemic stroke careDifferent risk factorsQuality of careHospital mortalityIschemic strokeStroke centersAcute managementStroke patientsStroke ProjectChinese patientsClinical registryWorse outcomesAcademic hospital
2017
Unexplained Variation for Hospitals’ Use of Inpatient Rehabilitation and Skilled Nursing Facilities After an Acute Ischemic Stroke
Xian Y, Thomas L, Liang L, Federspiel J, Webb L, Bushnell C, Duncan P, Schwamm L, Stein J, Fonarow G, Hoenig H, Montalvo C, George M, Lutz B, Peterson E, Bettger J. Unexplained Variation for Hospitals’ Use of Inpatient Rehabilitation and Skilled Nursing Facilities After an Acute Ischemic Stroke. Stroke 2017, 48: 2836-2842. PMID: 28830975, DOI: 10.1161/strokeaha.117.016904.Peer-Reviewed Original ResearchConceptsInpatient rehabilitation facilitySkilled nursing facilitiesAcute ischemic strokeHospital-level variationIschemic strokeNursing facilitiesGuidelines-Stroke hospitalsMultilevel logistic regression modelsMedian odds ratioGeographic availabilityLogistic regression modelsIRF patientsHospital complicationsSNF patientsClinical characteristicsComorbid conditionsInpatient rehabilitationHospital characteristicsClinical registryOdds ratioRehabilitation facilityHospital useMedicare beneficiariesPatientsHospital
2015
Variation and Trends in the Documentation of National Institutes of Health Stroke Scale in GWTG-Stroke Hospitals
Reeves M, Smith E, Fonarow G, Zhao X, Thompson M, Peterson E, Schwamm L, Olson D. Variation and Trends in the Documentation of National Institutes of Health Stroke Scale in GWTG-Stroke Hospitals. Circulation Cardiovascular Quality And Outcomes 2015, 8: s90-s98. PMID: 26515215, DOI: 10.1161/circoutcomes.115.001775.Peer-Reviewed Original ResearchConceptsGWTG-Stroke hospitalsHealth Stroke ScaleNIHSS scoreDocumentation ratesNIHSS dataStroke ScaleMultivariable logistic regression modelAcute ischemic strokeHospital-level factorsPrimary stroke centerImportant prognostic variablesPatient-level predictorsNational InstituteLogistic regression modelsMedian NIHSSIschemic strokeStroke centersThrombolysis candidatesClinical registryPrognostic variablesNIHSSHospitalPatientsStrokeLow documentation