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Linking the Paul Coverdell National Acute Stroke Program to commercial claims to establish a framework for real-world longitudinal stroke research

Elisabetta Patorno, Sebastian Schneeweiss, Mary G George, Xin Tong, Jessica M Franklin, Ajinkya Pawar, Helen Mogun, Lidia M V R Moura, Lee H Schwamm
DOI: 10.1136/svn-2021-001134 Published 27 April 2022
Elisabetta Patorno
1 Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
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  • ORCID record for Elisabetta Patorno
Sebastian Schneeweiss
1 Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
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Mary G George
2 Division for Heart Disease and Stroke Prevention, NCCDPHP, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
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Xin Tong
2 Division for Heart Disease and Stroke Prevention, NCCDPHP, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
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Jessica M Franklin
1 Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
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Ajinkya Pawar
1 Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
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Helen Mogun
1 Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
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Lidia M V R Moura
3 Epilepsy and Neurophysiology Division, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
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Lee H Schwamm
4 Fireman Vascular Center and Stroke Division, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
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  • Figure 1
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    Figure 1

    Identification of linked and unlinked study cohorts resulting from data linkage between ischaemic stroke admissions in Paul Coverdell National Acute Stroke Program (PCNASP)—registry and ischaemic stroke admissions in claims dataset.

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    Figure 2

    Antihypertensive and lipid-lowering medication use prior and subsequent to index stroke hospitalisation as measured in Paul Coverdell National Acute Stroke Program (PCNASP) and in claims at 90 days prestroke and 90 days post dischargPCNASP (reported on admission): based on medications reported on admission in PCNASP registry. Claims (fills prior to admission): based on prescription medications filled in the 90 days prior to the stroke hospitalisation in claims. Antihypertensive and lipid-lowering medication use prior to admission in the PCNASP was missing for <1%. PCNASP (prescription at discharge): based on medications prescribed at discharge in PCNASP among patients discharged home. Antihypertensive and statin prescription at discharge in the PCNASP was missing for 11.3% and 1.7%, respectively. Claims (fills after discharge): based on prescription medications filled in the 90 days following discharge as recorded in claims among patients discharged home. To evaluate prescription medications filled following discharge in claims, analyses were limited to patients with continuous enrollment for the 90 days after the stroke hospitalisation. Antihypertensive drugs: includes ACE-inhibitors, angiotensin II receptor blockers (ARBs), beta-blockers, calcium channel blockers, thiazide diuretics, loop diuretics and other antihypertensives. Lipid-lowering drugs: includes statins or other lipid-lowering medications. PCNASP included information on the use of lipid-lowering drugs on admission and on the prescription of statins at discharge.

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  • Table 1

    Linkage performance in claims dataset of 32 991 571 claims encounters

    Linkage stepLinkage rule*†Number of flexible fields for matchingTotal linked HospitalisationsUniqueness‡
    1Age at admission (±1 year), date of admission (±1 day), date of discharge (±1 day), sex, state, and primary diagnosis, by hospital ID317 85089.6
    2Age at admission, date of admission (±1 day), date of discharge, sex, state, and primary diagnosis, by hospital ID110 91798.0
    3Age at admission, date of admission, date of discharge (±1 day), sex, state, and primary diagnosis, by hospital ID110 44598.0
    4Age at admission (±1 year), date of admission, date of discharge, sex, state, and primary diagnosis, by hospital ID114 00498.0
    5Age at admission, date of admission, date of discharge, sex, state, and primary diagnosis, by hospital ID010 07999.1
    • *Unless otherwise specified, linkage rules employed exact matching of linking fields.

    • †Optum Clinformatics only includes year of birth for commercial beneficiaries, thus the linking field age at admission was always allowed to differ by 1 year.

    • ‡Uniqueness = (1−(N multiple hospitalisations in claims+N multiple hospitalisations in registry))/N linked hospitalisations] *100

  • Table 2

    Comparison of claims variables between beneficiaries in Optum with versus without successful Paul Coverdell National Acute Stroke Program-linkage

    Patient characteristicsLinked
    (n=5644)
    N (%)
    Unlinked
    (n=98 896)
    N (%)
    Standardised difference
    Demographics
    Age, mean (SD)69.7 (11.9)72.5 (12.3)−0.23
    Female2797 (49.6)51 821 (52.4)−0.06
    Comorbidities*
    Combined comorbidity index, mean (SD)1.4 (2.5)1.5 (2.4)−0.03
    Hypertension3866 (68.5)64 675 (65.4)0.07
    Diabetes1974 (35.0)31 964 (32.3)0.06
    Dyslipidaemia2710 (48.0)43 584 (44.1)0.08
    Prior ischaemic stroke1192 (21.1)17 852 (18.1)0.08
    Prior transient ischaemic attack526 (9.3)8802 (8.9)0.01
    History of atrial fibrillation820 (14.5)17 384 (17.6)−0.08
    Carotid stenosis411 (7.3)6342 (6.4)0.03
    Prior haemorrhagic stroke83 (1.5)1067 (1.1)0.03
    Ischaemic heart disease or procedure1341 (23.8)22 974 (23.2)0.01
    Peripheral vascular disease (PVD) or PVD surgery497 (8.8)10 024 (10.1)−0.05
    Congestive heart failure786 (13.9)14 487 (14.7)−0.02
    Chronic kidney disease699 (12.4)13 338 (13.5)−0.03
    Chronic obstructive pulmonary disease694 (12.3)12 772 (12.9)−0.02
    Pneumonia346 (6.1)5890 (6.0)0.01
    Dementia575 (10.2)12 087 (12.2)−0.06
    Cancer or history of malignant neoplasm661 (11.7)11 328 (11.5)0.01
    Obesity811 (14.4)13 357 (13.5)0.02
    Smoking455 (8.1)6411 (6.5)0.06
    Alcohol abuse or dependence76 (1.4)1221 (1.2)0.01
    Drug abuse or dependence61 (1.1)991 (1.0)0.01
    Depression556 (9.9)9194 (9.3)0.02
    Medication use*
    Any antihypertensives†3437 (60.9)62 519 (63.2)−0.05
     Angiotensin-converting enzyme inhibitors1556 (27.6)28 447 (28.8)−0.03
     Angiotensin II receptor blockers738 (13.1)12 944 (13.1)0.00
     Beta-blockers1980 (35.1)35 563 (36.0)−0.02
     Calcium channel blockers1361 (24.1)23 941 (24.2)0.00
     Thiazide diuretics1147 (20.3)18 151 (18.4)0.05
     Loop diuretics837 (14.8)15 521 (15.7)−0.02
     Other antihypertensives458 (8.1)8045 (8.1)0.00
    Nitrates and other antianginal therapies389 (6.9)6088 (6.2)0.03
    Antiarrhythmics105 (1.9)2044 (2.1)−0.01
    Digoxin176 (3.1)4329 (4.4)−0.07
    Any lipid-lowering agents‡2144 (38.0)36 294 (36.7)0.03
     Statins2016 (35.7)33 977 (34.4)0.03
     Other lipid-lowering agents340 (6.0)5231 (5.3)0.03
    Antiplatelets§694 (12.3)10 480 (10.6)0.05
    Anticoagulants¶491 (8.7)9163 (9.3)−0.02
     Warfarin383 (6.8)7778 (7.9)−0.04
     Direct oral anticoagulants94 (1.7)1198 (1.2)0.04
     Heparin, LMWH or fondaparinux66 (1.2)935 (1.0)0.02
    Insulin622 (11.0)8937 (9.0)0.07
    Non-insulin glucose-lowering medications1034 (18.3)17 429 (17.6)0.02
    Antidepressants**1145 (20.3)19 146 (19.4)0.02
    Measures of healthcare utilisation*
    Any hospitalisation, %1215 (21.5)17 462 (17.7)0.10
    Number of any hospitalisation, mean (SD)0.3 (0.7)0.3 (0.7)0.08
    Any hospitalisation within prior 30 days, %467 (8.3)6426 (6.5)0.07
    N hospital days, mean (SD)2.0 (6.1)1.6 (5.6)0.07
    Number of emergency department visits, mean (SD)0.8 (2.0)0.7 (1.9)0.09
    Number of any physician visit, mean (SD)12.8 (17.8)10.5 (15.7)0.14
    Total N distinct pharmacological agents prescribed, mean (SD)6.5 (6.0)6.3 (5.6)0.04
    Laboratory values*
    LDL, mg/dL, mean (SD)105.3 (56.9)106.9 (44.7)−0.03
    LDL, N (%)123 (2.2)2471 (2.5)−0.02
    Total cholesterol, mg/dL, mean (SD)199.6 (61.9)193.3 (48.8)0.11
    Total cholesterol, N (%)120 (2.1)2514 (2.5)−0.03
    INR, mean (SD)1.6 (0.9)1.7 (0.9)−0.02
    INR, N (%)19 (0.3)384 (0.4)−0.01
    Creatinine, mg/dL, mean (SD)1.1 (0.5)1.1 (2.1)−0.05
    Creatinine, N (%)171 (3.0)3393 (3.4)−0.02
    HbA1c, %, mean (SD)8.2 (2.5)7.8 (2.2)0.15
    HbA1c, N (%)90 (1.6)1530 (1.6)0.00
    Characteristics of stroke hospitalisation
    Length of stay of index hospitalisation, mean (SD)5.7 (4.7)5.9 (6.8)−0.05
    Discharge status
     Home2691 (47.7)41 191 (41.7)0.12
     Home healthcare680 (12.1)10 376 (10.5)0.05
     Rehabilitation facility480 (8.5)8596 (8.7)−0.01
     Skilled nursing facility935 (16.6)19 766 (20.0)−0.09
     Other acute inpatient facility331 (5.9)6701 (6.8)−0.04
     Hospice190 (3.4)4098 (4.1)−0.04
    In-hospital mortality††33 (0.6)516 (0.5)0.01
    • Values are N (%) unless otherwise specified.

    • *Unless otherwise specified, measured during the 6 months preceding the index stroke hospitalisation.

    • †Includes ACE-inhibitors, ARBs, beta-blockers, calcium channel blockers, thiazide diuretics, loop diuretics, and other antihypertensives.

    • ‡Includes statins or other lipid-lowering medications.

    • §Includes aspirin, clopidogrel, prasugrel, ticagrelor, dipyridamole, aspirin–dipyridamole, ticlopidine.

    • ¶Includes warfarin, dabigatran, rivaroxaban, apixaban, edoxaban, heparin, dalteparin, enoxaparin, tinzaparin, fondaparinux, argatroban, desirudin, lipirudin.

    • **Includes selective serotonin reuptake inhibitors (SSRIs) and non-SSRI antidepressants.

    • ††Information on mortality is available in Optum through linkage with the Social Security Administration Death Master File. This capture is limited by a policy change in 2011 concerning the extent of the Social Security Administration disclosure of death records received from states (important notice: change in public death master file records. 2011; https://classic.ntis.gov/assets/pdf/import-change-dmf.pdf).

    • ARBs, angiotensin II receptor blockers; HbA1c, haemoglobin A1c; INR, international normalised ratio; LDL, low-density lipoprotein; LMWH, low-molecular-weight heparin.

  • Table 3

    Assessment of discordance among selected variables from the Paul Coverdell National Acute Stroke Program (PCNASP) and claims data among linked patients

    PCNASP-based variables
    (n=5644)
    Claims-based variables
    (n=5644)
    McNemar’s test p valueAbsolute difference
    Comorbidities*, N (%)
    Hypertension4021 (71.5)3866 (68.5)0.003.0
    Diabetes mellitus1780 (31.8)1974 (35.0)0.003.2
    Dyslipidaemia2590 (46.1)2710 (48.0)0.011.9
    Prior ischaemic stroke1075 (21.9)1192 (21.1)0.120.8
    Prior transient ischaemic attack406 (8.1)526 (9.3)0.081.2
    History of atrial fibrillation1155 (20.5)820 (14.5)0.006.0
    Carotid stenosis222 (4.0)411 (7.3)0.003.3
    Ischaemic heart disease1323 (23.6)1341 (23.8)0.700.2
    Peripheral vascular disease315 (5.6)497 (8.8)0.003.2
    Congestive heart failure449 (8.0)786 (13.9)0.005.9
    Chronic kidney disease138 (11.4)699 (12.4)0.001.0
    Obesity624 (39.6)811 (14.4)0.0025.2
    Smoking1024 (18.3)455 (8.1)0.0010.2
    Drug or alcohol abuse32 (2.8)61 (1.1)1.001.7
    Depression174 (5.6)556 (9.9)0.004.3
    Stroke severity and functional information at discharge†
    NIH Stroke Scale
     Mean (SD)6.2 (7.2)N/AN/AN/A
     Median (IQR)3 (1–8)N/AN/AN/A
    Ambulatory status at discharge
    Able to ambulate independently with or without device, N (%)2698 (50.4)N/AN/AN/A
    • *Comorbidities in the PCNASP are based on recorded medical history during stroke hospitalisation; comorbidities for in claims are based on International Classification of Diseases, Ninth Revision diagnoses recorded during the 183-day period prior to the stroke hospitalisation. Comorbidities in the PCNASP were characterised by varying level of missingness: information on prior ischaemic stroke, transient ischaemic attack, obesity, chronic kidney disease, drug or alcohol abuse, and depression was missing for 13.0%, 11.6%, 72.1%, 78.6%, 79.6% and 44.7%, respectively; information on the other comorbidities was missing for <1%.

    • †Information on National Institutes of Health (NIH) Stroke Scale and Ambulatory status at discharge was missing for 28.9% and 5.2% patients, respectively.

    • N/A, not applicable.

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Linking the Paul Coverdell National Acute Stroke Program to commercial claims to establish a framework for real-world longitudinal stroke research
Elisabetta Patorno, Sebastian Schneeweiss, Mary G George, Xin Tong, Jessica M Franklin, Ajinkya Pawar, Helen Mogun, Lidia M V R Moura, Lee H Schwamm
Stroke and Vascular Neurology Apr 2022, 7 (2) 114-123; DOI: 10.1136/svn-2021-001134

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Linking the Paul Coverdell National Acute Stroke Program to commercial claims to establish a framework for real-world longitudinal stroke research
Elisabetta Patorno, Sebastian Schneeweiss, Mary G George, Xin Tong, Jessica M Franklin, Ajinkya Pawar, Helen Mogun, Lidia M V R Moura, Lee H Schwamm
Stroke and Vascular Neurology Apr 2022, 7 (2) 114-123; DOI: 10.1136/svn-2021-001134
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Linking the Paul Coverdell National Acute Stroke Program to commercial claims to establish a framework for real-world longitudinal stroke research
Elisabetta Patorno, Sebastian Schneeweiss, Mary G George, Xin Tong, Jessica M Franklin, Ajinkya Pawar, Helen Mogun, Lidia M V R Moura, Lee H Schwamm
Stroke and Vascular Neurology Apr 2022, 7 (2) 114-123; DOI: 10.1136/svn-2021-001134
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