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Research

Derivation and validation of a clinical prediction rule for sleep apnoea syndrome for use in primary care

Erika Miranda Serrano, Amanda Lopez-Picado, Aitziber Etxagibel, Alfonso Casi, Laura Cancelo, Jose Ignacio Aguirregomoscorta, Itziar Menéndez, Monica Gonzalez and Felipe Aizpuru
BJGP Open 2018; 2 (2): bjgpopen18X101481. DOI: https://doi.org/10.3399/bjgpopen18X101481
Erika Miranda Serrano
1 Research Fellow, Araba Research Unit, Araba University Hospital, OSI-Araba, , Spain
Bsc
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Amanda Lopez-Picado
2 Research Fellow, Araba Research Unit, Araba University Hospital, OSI-Araba, , Spain
PharmD, PhD
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Aitziber Etxagibel
3 GP Graduate, Central Services, , Spain
MD
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Alfonso Casi
4 GP Graduate, Lakuabizkarra Health Centre, OSI-Araba, , Spain
MD
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Laura Cancelo
5 GP Graduate, Sleep Unit, Araba University Hospital, OSI-Araba, , Spain
MD
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Jose Ignacio Aguirregomoscorta
6 GP Graduate, Sleep Unit, Galdakao-Usansolo Hospital, , Spain
MD
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Itziar Menéndez
7 GP Graduate, Llodio Health Centre, OSI Barrualdea-Galdakao, , Spain
MD
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Monica Gonzalez
8 Head of Sleep Unit, Sleep Unit, Marques de Valdecilla University Hospital, , Spain
MD
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Felipe Aizpuru
9 Research Fellow, Araba Research Unit, Araba University Hospital, OSI-Araba, , Spain
MD
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  • For correspondence: lohiandia@gmail.com
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Article Figures & Data

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    Figure 1. Flow chart of inclusion and exclusion criteria
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    Figure 2. Receiver operating characteristic curves for the derivation and validation samples.

    AUC = area under curve.

Tables

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    Table 1. Clinical prediction rule in the format it would be used in primary care 
    Points
    Age, years 18–450.00
    46–591.25
    60–701.50
    BMI <300.00
    ≥301.50
    Sex Female0.00
    Male1.50
    • BMI = body mass index.

    • View popup
    Table 2. Comparison of the derivation and validation samples
    Derivation (n = 352),
    n (%)
    Validation (n = 260),
    n (%)
    P value
    Primary care data complete 350 (99.4)249 (95.8)0.002
    Lack of sleep74 (21.0)27 (10.4)0.001
    Male122 (34.7)67 (25.8)0.019
    Mean age, SD 48.84 (11.15)49.01 (11.55)0.852
    Mean weight, SD 81.11 (16.20)86.66 (17.34)<0.001
    Mean height, SD169.45 (9.70)169.03 (8.96)0.588
    Mean BMI, SD28.18 (4.88)30.26 (5.24)<0.001
    Frequent snoring346 (98.3)257 (98.8)0.740
    Breathing pauses134 (38.1)182 (70.0)<0.001
    Daytime hypersomnia149 (42.3)163 (62.7)<0.001
    History of accidents12 (3.4)22 (8.5)0.007
    Morning tiredness151 (42.9)157 (60.4)<0.001
    Waking with sensation of asphyxia68 (19.3)96 (36.9)<0.001
    Mean neck circumference, SD 39.08 (4.27)40.09 (4.09)0.003
    AHT 79 (22.4)89 (34.2)0.001
    Heart failure3 (0.9)7 (2.7)0.106
    DM20 (5.7)33 (12.7)0.002
    Smoking habit
    Non-smoker131 (37.2%)74 (28.5%)0.027
    Smoker106 (30.1%)76 (29.2%)
    Ex-smoker115 (32.7%)110 (42.3%)
    Drinks alcohol126 (35.8%)111 (42.7%)0.083
    Mean Epworth score, SD 9.24 (4.14)10.04 (4.90)0.034
    Diagnostic test
    CPSG11 (3.8)159 (68.8)<0.001
    RP272 (92.8)67 (29.0)
    None6 (2.0)5 (2.2)
    Both RP and CPSG4 (1.4)0 (0.0)
    Therapeutic decision
    CPAP79 (28.5)118 (50.6)<0.001
    No CPAP192 (69.3)111 (47.6)
    Mandibular advancement device4 (1.4)4 (1.7)
    Postural device2 (0.7)0 (0.0)
    • AHT = arterial hypertension. BMI = body mass index. CPAP = continuous positive airway pressure. CPSG = conventional polysomnography. DM = diabetes mellitus. RP = respiratory polygraphy. SD = standard deviation.

    • View popup
    Table 3. Derivation sample. Univariate logistic regression for the primary variable 'therapeutic decision'. Selection of variables for the final model.
    VariableOR95% CIP value
    Male3.151.74 to 5.99<0.001
    Age 18–45; 46–59; 60–70 (1)2.561.37 to 4.950.002
    Age 18–45; 46–59; 60–70 (2)3.151.52 to 6.68
    BMI <30; ≥303.612.11 to 6.24<0.001
    Frequent snoring0.660.11 to 5.070.656
    Breathing pauses1.921.14 to 3.230.013
    Daytime hypersomnia1.060.63 to 1.770.835
    History of accidents0.310.02 to 1.810.220
    Morning tiredness0.620.36 to 1.040.071
    Waking with sensation of asphyxia1.020.54 to 1.890.948
    Neck circumference ≤38; 38.1–42; >42 (1)2.041.07 to 3.99<0.001
    Neck circumference ≤38; 38.1–42; >42 (2)7.203.57 to 15.08
    AHT4.002.26 to 7.17<0.001
    DM3.361.04 to 11.640.043
    Smoking status (1)1.080.56 to 2.090.122
    Smoking status (2)1.800.99 to 3.32
    Alcohol status1.070.62 to 1.810.816
    Epworth score <9; ≥91.670.99 to 2.860.056
    • AHT = arterial hypertension. BMI = body mass index. CI = confidence intervals. DM = diabetes mellitus. OR = odds ratio.

    • View popup
    Table 4. Derivation sample. Final logistic regression and scores for the clinical prediction rule.
    BSESignificanceExp(B)95% CI for Exp(B)βi/ βminScore
    AHT0.91500.33040.005622.4971.306 to 4.78711.00
    Age 46–591.19550.37460.001413.3051.614 to 7.0551.306571.25
    Age 60–701.44400.44210.001094.2381.804 to 10.2811.578141.50
    BMI ≥301.44900.31925.65e–064.2592.300 to 8.0741.583601.50
    Male1.37400.34888.18e–053.9512.040 to 8.0591.501641.50
    Constant−2.08230.34351.34e–090.1250.061 to 0.236
    • Hosmer–Lemeshow test P = 0.903.

    • AHT = arterial hypertension. BMI = body mass index. CI = confidence interval. SE = standard error.

    • View popup
    Table 5. Different cut-off points for the clinical prediction rule.
    Cut-off point Treated
    (N = 85)
    Not treated
    (N = 192)
    Sensitivity, %
    (95% CI)
    Specificity, %
    (95% CI)
    PPV, %
    (95% CI)
    NPV, %
    (95% CI)
    Derivation (n = 277)≥1.508015494.1
    (89.1 to 99.1)
    19.8
    (14.2 to 25.4)
    34.2
    (28.1 to 40.3)
    88.4
    (78.8 to 98.0)
    ≥2.25739485.9
    (78.5 to 93.3)
    51.0
    (44.0 to 58.1)
    43.7
    (36.2 to 51.2)
    89.1
    (83.3 to 94.9)
    ≥2.50738885.9
    (78.5to 93.3)
    54.2
    (47.1 to 61.2)
    45.3
    (37.7 to 53.0)
    89.7
    (84.1 to 95.2)
    ≥2.75718083.5
    (75.6 to 91.4)
    58.3
    (51.4 to 65.3)
    47.0
    (39.1 to 55.0)
    88.9
    (83.4 to 94.4)
    Cut-off point Treated
    (N = 122)
    Not treated
    (N = 111)
    Sensitivity, %
    (95% CI)
    Specificity, %
    (95% CI)
    PPV, %
    (95% CI)
    NPV, %
    (95% CI)
    Validation (n = 233)≥1.501199097.5
    (94.8 to 100.3)
    18.9
    (11.6 to 26.2)
    56.9
    (50.2 to 63.7)
    87.5
    (74.3 to 100.7)
    ≥2.251006482.0
    (75.1 to 88.8)
    42.3
    (33.2 to 51.5)
    61.0
    (53.5 to 68.4)
    68.1
    (57.1 to 79.1)
    ≥2.50996381.1
    (74.2 to 88.1)
    43.2
    (34.0 to 52.5)
    61.1
    (53.6 to 68.6)
    67.6
    (56.7 to 78.5)
    ≥2.75935776.2
    (68.7 to 83.8)
    48.6
    (39.4 to 57.9)
    62.0
    (54.2 to 69.8)
    65.1
    (54.8 to 75.3)
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Derivation and validation of a clinical prediction rule for sleep apnoea syndrome for use in primary care
Erika Miranda Serrano, Amanda Lopez-Picado, Aitziber Etxagibel, Alfonso Casi, Laura Cancelo, Jose Ignacio Aguirregomoscorta, Itziar Menéndez, Monica Gonzalez, Felipe Aizpuru
BJGP Open 2018; 2 (2): bjgpopen18X101481. DOI: 10.3399/bjgpopen18X101481

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Derivation and validation of a clinical prediction rule for sleep apnoea syndrome for use in primary care
Erika Miranda Serrano, Amanda Lopez-Picado, Aitziber Etxagibel, Alfonso Casi, Laura Cancelo, Jose Ignacio Aguirregomoscorta, Itziar Menéndez, Monica Gonzalez, Felipe Aizpuru
BJGP Open 2018; 2 (2): bjgpopen18X101481. DOI: 10.3399/bjgpopen18X101481
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Keywords

  • sleep apnea
  • clinical predictive rule
  • Primary health care

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  • Discussing poverty within primary care consultations: implications for mental health support
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