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Research ArticleCervical Spine

The Impact of Obstructive Sleep Apnea on Clinical, Perioperative, and Cost Outcomes in Patients Who Underwent Posterior Cervical Decompression and Fusion: A Single-Center Retrospective Analysis From 2008 to 2016

Dominic A. Nistal, Michael L. Martini, Sean N. Neifert, Gabrielle Price, Alejandro Carrasquilla, Jonathan S. Gal and John M. Caridi
International Journal of Spine Surgery December 2022, 16 (6) 1075-1083; DOI: https://doi.org/10.14444/8324
Dominic A. Nistal
1 Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA
MD
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Michael L. Martini
1 Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA
PHD
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Sean N. Neifert
1 Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA
BS
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Gabrielle Price
1 Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA
MS
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Alejandro Carrasquilla
1 Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA
MD
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Jonathan S. Gal
1 Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA
MD
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John M. Caridi
2 Department of Neurosurgery, UTHealth Neurosciences Spine Center, Houston, TX, USA
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  • For correspondence: John.Caridi@uth.tmc.edu
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    Figure

    Forest plot depicting OR of experiencing adverse clinical outcomes between patients with and without a history of obstructive sleep apnea (OSA). OSA does not impact the odds of having prolonged extubation; however, it does increase the odds of a postoperative admission to the intensive care unit (ICU). A history of OSA also decreases the odds of an extended hospitalization and nonhome discharge in our study population. OR obtained through multivariate logistic regression analysis. P value <0.05 was set as a threshold for statistical significance. *indicates <0.05; ** indicates <0.01; *** indicates <0.0001. ER, emergency room; LL, lower limit; UL, upper limit.

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    Table 1

    Demographics of the study population by history OSA.

    DemographicNo History of OSA (n = 1098)OSA (n = 93) P Value
    Age, y, mean ± SEM58.8 ± 0.453.6 ± 1.20.4252
    Sex, n (%)0.1218
     Male654 (59.6)63 (67.7)
     Female444 (40.4)30 (32.3)
    Obesity, n (%)<0.0001a
     BMI <301011 (92.1)50 (53.8)
     BMI 30–4065 (5.9)23 (24.7)
     BMI >4022 (2.0)20 (21.5)
    ASA status, n (%)<0.0001a
     I29 (2.6)0 (0.0)
     II512 (46.6)16 (17.2)
     III505 (46.0)70 (75.3)
     IV50 (4.6)7 (7.5)
    ASA status (reference: <2), n (%)
     >2556 (50.6)77 (82.8)<0.0001a
    Admission type, n (%)0.1261
     Elective1071 (97.5)93 (100.0)
     Nonelective27 (2.5)0 (0.0)
    Segments operated, mean ± SEM3.9 ± 0.064.2 ± 0.210.1066
    Length of surgery, min, mean ± SEM156.4 ± 13.7164.6 ± 15.90.8624
    Awake intubation, n (%)61 (5.6)9 (12.9)0.1047
    Elixhauser Comorbidity Index, n (%)0.7373
      <0138 (12.6)15 (16.1)
     0761 (69.3)62 (66.7)
     1–463 (5.7)4 (4.3)
      >4136 (12.4)12 (12.9)
    • Abbreviations: ASA, American Society of Anesthesiologists physical status classification system; BMI, body mass index; OSA, obstructive sleep apnea; SEM, standard error of the mean.

    • ↵a P < 0.05 was used as a threshold for statistical significance.

    • View popup
    Table 2

    Morbidity and mortality of the study population by history of OSA.

    Variable, n (%)No History of OSA (n = 1098)OSA (n = 93) P Value
    Morbidity by organ system
     Airway1 (0.1)0 (0.0)0.7709
     Acute respiratory distress syndrome1 (0.1)1 (0.0)0.7709
     Atelectasis53 (4.8)8 (13.1)0.1128
     Posthemorrhagic anemia134 (12.2)21 (22.6)0.0043a
     Renal failure16 (1.5)1 (1.1)0.7656
     Myocardial infarction7 (0.6)2 (2.2)0.1057
     Cardiac arrest9 (0.8)2 (2.2)0.1977
     Cerebrovascular attack1 (0.1)0 (0.0)0.7709
     Deep venous thrombosis2 (0.2)0 (0.0)0.6804
     Obesity-related hypoventilation syndrome1 (0.1)0 (0.0)0.7709
     Pneumonia29 (2.6)4 (4.3)0.3491
     Pulmonary edema1 (0.9)0 (0.0)0.7709
     Pulmonary embolism3 (0.3)0 (0.0)0.6138
     Pulmonary insufficiency4 (0.4)0 (0.0)0.5599
     Respiratory failure15 (1.4)4 (4.3)0.0301a
     Wound dehiscence2 (0.2)0 (0.0)0.6804
     Sepsis8 (0.7)0 (0.0)0.4088
     Septic shock3 (0.3)0 (0.0)0.6138
     Urinary tract infection13 (1.2)1 (1.1)0.9256
    Overall mortality3 (0.3)0 (0.0)0.6138
    • Abbreviation: OSA, obstructive sleep apnea.

    • ↵a P < 0.05 was used as a threshold for statistical significance.

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    Table 3

    Comparison of relevant clinical outcome measures based on the presence of OSA.

    Variable, n (%)No History of OSA (n = 1098)OSA (n = 93) P Value
    Prolonged extubation71 (6.5)4 (4.3)0.4092
    Admitted to the intensive care unit184 (16.8)31 (33.3)<0.0001a
    Complication209 (19.0)27 (29.0)0.0202a
    Respiratory complication72 (6.6)12 (12.9)0.0217a
    Nonhome discharge337 (30.7)24 (25.8)0.3017
    Prolonged length of stay343 (31.2)28 (30.1)0.8211
    Readmission within 30 d52 (4.7)3 (3.2)0.5053
    Readmission within 90 d86 (7.8)6 (6.5)0.6320
    Emergency room visit within 30 d33 (3.0)1 (1.1)0.2832
    Emergency room visit within 90 d46 (4.2)1 (1.1)0.1386
    • Abbreviation: OSA, obstructive sleep apnea.

    • ↵a P < 0.05 was used as a threshold for statistical significance.

    • View popup
    Table 4

    Multivariate logistic regression models evaluating the impact of obstructive sleep apnea on relative clinical outcome measures.

    OutcomeOR (95% CI) P Value
    Prolonged extubation0.66 (0.21–2.07)0.4773
    Admission to intensive care unit2.17 (1.27–3.70)0.0046a
    Complication1.40 (0.82–2.39)0.2201
    Respiratory complication1.36 (0.64–2.91)0.4224
    Extended hospitalization1.36 (0.39–4.67)0.6287
    Nonhome discharge0.50 (0.28–0.89)0.0181a
    Readmission in 30 d0.43 (0.12–1.53)0.1937
    Readmission in 90 d0.54 (0.21–1.36)0.1908
    Emergency room visit in 30 d0.25 (0.03–1.99)0.1882
    Emergency room visit in 90 d0.18 (0.02–1.39)0.0997
    • Note: Models control for demographic and intraoperative variables, including age, sex, American Society of Anesthesiologists physical status classification system status, Elixhauser Comorbidity Index, number of segments operated on, obesity, and awake intubation.

    • ↵a P < 0.05 was used as a threshold for statistical significance.

    • View popup
    Table 5

    Multivariate linear regression model evaluating the impact of a number of demographic, clinical, and perioperative factors on predicting direct cost.

    β (SE)95% CI P Value
    Total Direct Cost (Model 4)(R 2 = 0.83, P < 0.0001a)
    Age−27.00 (15.43)−57.3 to 3.30.0805
    Sex (male)−1252.57 (399.43)−2036.2 to −468.90.0018a
    American Society of Anesthesiologists physical status classification system status−209.29 (347.25)−890.6 to 472.00.5468
    Elixhauser Comorbidity Index23.86 (56.87)−87.7 to 135.40.6749
    Number of segments operated1830.24 (107.74)1618.9–2041.6<0.0001a
    Obesity−409.93 (479.36)−1350.4 to 530.60.3926
    Obstructive sleep apnea632.78 (781.3)−900.1 to 2165.70.4182
    Length of surgery31.37 (3.04)25.4–37.3<0.0001a
    Crystalloids0.23 (0.23)−0.22 to 0.680.3260
    Colloids3.97 (2.45)−0.84 to 8.80.1054
    Red blood cells0.51 (1.30)−2.0 to 3.10.6928
    Platelets10.28 (5.88)−1.3 to 21.80.0806
    Fresh frozen plasma−5.82 (1.84)−9.4 to −2.20.0016a
    Cryoprecipitate352.91 (33.68)286.8–419.0<0.0001a
    Length of stay1301.54 (47.23)1208.9–1394.2<0.0001a
    Intensive care unit length of stay1229.41 (111.55)1010.6–1448.3<0.0001a
    Awake intubation858.09 (833.25)−776.7 to 2492.90.3033
    • Abbreviation: SE, standard error.

    • Note: Multiple models were constructed to evaluating a variety of clinical factors. The table presents model 4 from Table 6 and is the most comprehensive model.

    • ↵a P < 0.05 was used as a threshold for statistical significance.

    • View popup
    Table 6

    Multivariate linear regression models evaluating the impact of a history of obstructive sleep apnea on predicting direct cost while controlling for a number of perioperative variables.

    β (SE)95% CI P Value
    Total Direct Cost
    Model 11125.66 (1720.14)−2249.18 to 4500.500.5130
    Model 2−1155.54 (1602.16)−4298.93 to 1987.850.4709
    Model 3−297.31 (1431.57)−3106.04 to 2511.420.8355
    Model 4632.78 (781.29)−900.12 to 2165.680.4182
    • Abbreviation: SE, standard error.

    • Note: Multiple models were constructed to evaluating a variety of clinical factors. Model 1 had only sleep apnea as an independent variable to predict cost as the dependent variable. Model 2 included model 1 plus age, sex, American Society of Anesthesiologists physical status classification system status, Elixhauser Comorbidity Index, number of segments, and obesity. Model 3 included model 2 plus length of surgery, total volume of crystalloids, total volume of colloids, total volume of red blood cells, total volume of platelets, total volume of fresh frozen plasma, and total volume of cryoprecipitate. Model 4 included model 3 plus length of hospital stay and length of intensive care unit stay.

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International Journal of Spine Surgery
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The Impact of Obstructive Sleep Apnea on Clinical, Perioperative, and Cost Outcomes in Patients Who Underwent Posterior Cervical Decompression and Fusion: A Single-Center Retrospective Analysis From 2008 to 2016
Dominic A. Nistal, Michael L. Martini, Sean N. Neifert, Gabrielle Price, Alejandro Carrasquilla, Jonathan S. Gal, John M. Caridi
International Journal of Spine Surgery Dec 2022, 16 (6) 1075-1083; DOI: 10.14444/8324

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The Impact of Obstructive Sleep Apnea on Clinical, Perioperative, and Cost Outcomes in Patients Who Underwent Posterior Cervical Decompression and Fusion: A Single-Center Retrospective Analysis From 2008 to 2016
Dominic A. Nistal, Michael L. Martini, Sean N. Neifert, Gabrielle Price, Alejandro Carrasquilla, Jonathan S. Gal, John M. Caridi
International Journal of Spine Surgery Dec 2022, 16 (6) 1075-1083; DOI: 10.14444/8324
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