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Epidemiology/Health Services Research

Optimal Blood Pressure Thresholds for Minimal Coronary Artery Disease Risk in Type 1 Diabetes

  1. Jingchuan Guo1⇑,
  2. Maria M. Brooks1,
  3. Matthew F. Muldoon2,
  4. Ashely I. Naimi1,
  5. Trevor J. Orchard1 and
  6. Tina Costacou1
  1. 1Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA
  2. 2Heart and Vascular Institute, University of Pittsburgh School of Medicine, Pittsburgh, PA
  1. Corresponding author: Jingchuan Guo, jig38{at}pitt.edu
Diabetes Care 2019 Sep; 42(9): 1692-1699. https://doi.org/10.2337/dc19-0480
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    Figure 1

    Cumulative incidence of CAD by categorized timed-weighted BP over 25 years of follow-up. χ2 Test was used for testing the relation between categorized BP and cumulative incidence of CAD. PP, pulse pressure.

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  • Table 1

    Clinical characteristics of the study population at baseline

    VariablesTotal (N = 605)Time-weighted BP (mmHg)Incident CAD
    <120/80 (n = 387)≥120/80 (n = 218)No (n = 386)Yes (n = 219)
    Age, years27.2 (7.7)25.7 (7.5)29.8 (7.4)**24.8 (7.2)31.3 (6.8)**
    Age at diabetes onset, years8.2 (4.1)8.0 (4.1)8.5 (4.0)8.1 (4.2)8.3 (3.8)
    Diabetes duration, year19.0 (7.4)17.7 (7.1)21.3 (7.4)**16.7 (6.6)23.0 (7.1)**
    Female sex, % (n)49.8 (301)57.1 (221)36.7 (80)**51.0 (197)47.5 (104)
    SBP, mmHg112.9 (14.7)106.3 (8.7)124.6 (16.1)**109.9 (12.3)118.1 (17.1)**
    DBP, mmHg72.5 (10.8)68.1 (7.9)80.2 (11.1)**70.8 (9.8)75.5 (12.0)**
    PP, mmHg40.4 (10.3)38.1 (8.1)44. 4 (12.4)**39.1 (9.6)42.7 (10.7)**
    MAP, mmHg85.9 (11.3)80.9 (7.2)95.0 (11.6)**83.8 (9.8)89.7 (13.0)**
    Antihypertensive medication use, % (n)12.9 (78)5.7 (21)26.6 (57)**7.6 (28)23.0 (50)**
    Hypertension, % (n)14.4 (87)3.6 (14)33.5 (73)**7.8 (30)26.0 (57)**
    Pulse rate, bpm78 (10)76.9 (9.1)80.5 (10.6)**77.4 (9.8)79.6 (9.7)*
    HbA1c, % (mmol/mol)8.8 (73)8.7 (72)8.8 (73)8.8 (73)8.7 (72)
    Ever smoker, % (n)37.2 (225)36.2 (140)39.0 (85)30.3 (117)49.3 (108)**
    BMI, kg/m223.5 (3.2)23.2 (3.2)24.1 (3.2)**23.2 (3.2)24.0 (3.2)**
    High WHR,† % (n)4.8 (29)5.0 (19)4.6 (10)5.2 (20)4.2 (9)
    Urinary AER, μg/min14 (7, 102)11 (6, 25)10 (12, 985)**11 (7, 42)39 (9, 470)**
    Raised albuminuria,‡ % (n)44.4 (269)29.7 (115)70.6 (154)**36.5 (141)58.5 (128)**
    Total cholesterol, mg/dL189.6 (41.0)182.7 (36.0)201.4 (46.2)**182.5 (38.9)202.2 (41.9)**
    LDL cholesterol, mg/dL114.7 (33.8)107.9 (28.2)126.4 (39.1)108.0 (30.2)126.7 (36.6)
    Non–HDL cholesterol, mg/dL135.6 (41.0)128.0 (36.7)149.6 (46.4)**127.6 (38.8)149.9 (42.9)**
    HDL cholesterol, mg/dL
     Men49.5 (9.8)50.1 (9.9)48.7 (9.7)50.8 (10.0)47.3 (9.0)**
     Women58.4 (12.9)58.4 (12.6)58.6 (13.7)58.9 (13.0)57.5 (12.5)
    Triglycerides, mg/dL82 (60, 121)77 (57, 106)92 (66, 141)**76 (57, 108)92 (70, 140)**
    • Data presented as percentage (number) are categorical variables; data are otherwise presented as the mean (SD) or median (first quantile, third quantile) and are continuous variables. PP, pulse pressure; WHR, waist-to-hip ratio.

    • ↵*P < 0.05.

    • ↵**P < 0.01 between comparisons of time-weighted BP <120/80 vs. ≥120/80 mmHg, and no CAD vs. CAD.

    • ↵†High WHR was defined as >0.9 in men or >0.85 in women.

    • ↵‡Raised albuminuria was defined as a urinary AER >20 μg/min (30 mg/24 h) in at least two of three validated and timed biennial urine collections.

  • Table 2

    Dose-gradient associations of time-weighted BP and CAD in individuals with childhood-onset type 1 diabetes

    Model 1Model 2
    HR (95% CI)P valueHR (95% CI)P value
    SBP, mmHg
     <1100.9 (0.6, 1.3)0.5581.1 (0.7, 1.6)0.801
     110 to <120ReferenceReference
     120 to <1301.7 (1.1, 2.5)0.0131.6 (1.1, 2.3)0.027
     130 to <1402.3 (1.4, 3.7)<0.0011.9 (1.2, 3.0)0.011
     ≥1403.3 (2.0, 5.5)<0.0012.6 (1.6, 4.5)<0.001
    DBP, mmHg
     <601.1 (0.6, 1.9)0.8130.9 (0.5, 1.7)0.825
     60 to <70ReferenceReference
     70 to <801.9 (1.3, 2.8)<0.0011.8 (1.2, 2.7)0.002
     80 to <905.9 (3.9, 8.9)<0.0014.5 (2.9, 6.9)<0.001
     ≥909.2 (5.2, 16.3)<0.0015.6 (3.0, 10.3)<0.001
    MAP, mmHg
     <800.9 (0.6, 1.3)0.5560.9 (0.6, 1.4)0.718
     80 to <90ReferenceReference
     90 to <1002.9 (2.1, 4.2)<0.0012.5 (1.7, 3.5)<0.001
     100 to <1104.1 (2.6, 6.6)<0.0012.9 (1.8, 4.9)<0.001
     ≥11013.9 (7.2, 26.9)<0.0018.5 (4.3, 16.8)<0.001
    • Model 1 was adjusted for age, sex, diabetes duration, and current use of antihypertensive medications. Model 2 was adjusted for the model 1 variables as well as time-weighted HbA1c; ever smoking; updated mean BMI, HDL cholesterol, and non–HDL cholesterol; and raised albuminuria.

  • Table 3

    Risk stratification by time-weighted BP and time-weighted HbA1c for predicting CAD risk in individuals with childhood-onset type 1 diabetes

    Model 1Model 2
    HR (95% CI)P valueHR (95% CI)P value
    SBP/DBP
     BP ≥120/80 vs. <120/80 mmHg2.4 (1.8, 3.3)<0.0011.9 (1.4, 2.6)<0.001
     BP <120/80 mmHg and HbA1c <8%ReferenceReference
     BP ≥120/80 mmHg and HbA1c <8%2.3 (1.3, 4.3)0.0072.0 (1.06, 3.9)0.033
     BP <120/80 mmHg and HbA1c ≥8%2.2 (1.4, 3.6)0.0021.6 (0.97, 2.8)0.071
     BP ≥120/80 mmHg and HbA1c ≥8%5.8 (3.5, 9.7)<0.0013.3 (1.9, 6.0)<0.001
    MAP
     MAP ≥90 vs. <90 mmHg3.5 (2.6, 4.7)<0.0012.6 (1.6, 3.5)<0.001
     MAP <90 mmHg and HbA1c <8%ReferenceReference
     MAP ≥90 mmHg and HbA1c <8%4.6 (2.5, 8.4)<0.0013.4 (1.8, 6.5)<0.001
     MAP <90 mmHg and HbA1c ≥8%2.6 (1.6, 4.2)<0.0011.9 (1.1, 3.2)0.016
     MAP ≥90 mmHg and HbA1c ≥8%8.5 (5.1, 14.1)<0.0014.9 (2.7, 8.7)<0.001
    • Model 1 was adjusted for age, sex, diabetes duration, and current use of antihypertensive medications. Model 2 was adjusted for the model 1 variables plus ever smoking; updated mean BMI, HDL cholesterol, and non–HDL cholesterol; and raised albuminuria.

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Optimal Blood Pressure Thresholds for Minimal Coronary Artery Disease Risk in Type 1 Diabetes
Jingchuan Guo, Maria M. Brooks, Matthew F. Muldoon, Ashely I. Naimi, Trevor J. Orchard, Tina Costacou
Diabetes Care Sep 2019, 42 (9) 1692-1699; DOI: 10.2337/dc19-0480

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Optimal Blood Pressure Thresholds for Minimal Coronary Artery Disease Risk in Type 1 Diabetes
Jingchuan Guo, Maria M. Brooks, Matthew F. Muldoon, Ashely I. Naimi, Trevor J. Orchard, Tina Costacou
Diabetes Care Sep 2019, 42 (9) 1692-1699; DOI: 10.2337/dc19-0480
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