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Global Translational Medicine                                         New neck examination for sleep apnea



            •   2 = Loud airflow noise with some tactile fremitus;  less of the mild SDB than the females (χ  = 21.36, df = 4,
                                                                                                2
            •   3 = Continuous fremitus and loud gurgling during the   p = 0.0003). Table 2 shows the results of the multivariable
               inspiration;                                    Poisson regression of the variables predicting AHI
            •   4 = Complete airway obstruction (i.e., silence); harsh   category. Among these, the DGT significantly predicted
               glottal stop.                                   the AHI score while the MM, FTS, and ESS scales did not.
                                                               Also shown are some less significant predictors of AHI
            2.4. Statistical analysis                          category, namely age, sex, and BMI.
            The statistical software employed was the “MASS:  glm”
            package of the R Statistical System, version 4.3.3. A cross-  Table 1. Cross‑tabulation of frequency by sex and AHI
            tabulation table of sex versus AHI with Chi-squared   category
            analysis was used to illustrate sex differences in AHI.
                                                               Gender                  AHI category
              We used Poisson regression with a proportional odds          0       1       2        3       4
            model to predict the AHI from three airway predictor   F       14      38      25      18       4
            variables (numerical scoring ranges in brackets): MM   M       7       21      38      31      19
            classes (1 – 4), FTS scale (0 – 4), and DGT (0 – 4). Other
            predictor variables included age, sex, BMI, and ESS. The   Note: Males had significantly worse apnea-hypopnea index (AHI) on
                                                               nocturnal polysomnogram (χ =21.36, df=4, P=0.0003). See text for
                                                                                  2
            regression coefficients were reported in both raw and   explanation of AHI categories. Numbers in the body of the table are
            exponentiated form to facilitate comparisons.      frequency counts.
              To accommodate this statistical model, the AHI from
            the NPSG was also quantized into five ordered categories,   Table 2. Multivariate Poisson regression model
            labeled as follows: 0 = Normal (0 < 5 respiratory events/h);      Coefficient Exp (Coeff) S.E. Z‑value Pr(>|z|)
            1 = Mild (5 < 15 events/h); 2 = Moderate (15 < 30 events/h);   (Intercept)   −0.678  0.507  0.281 −2.408   0.016*
            3 = Moderately severe (30 < 60 events/h); and 4 = Very
            severe (60+ events/h).                             Age           0.007   1.007  0.003  2.210   0.027*
                                                               Sex (male)    0.301   1.351  0.102  2.953   0.003**
            3. Results                                         BMI           0.018   1.018  0.006  2.952   0.003**

            The patient group comprised 124 males and 100 females.   ESS_level mild  −0.030  0.970  0.118 −0.262   0.793
            Because we required at least 60 min of polysomnographic   ESS_level mod  0.052  1.053  0.233  0.225   0.821
            sleep for the AHI estimate to be reliable, eight males and   ESS_level severe  −0.271  0.762  0.242 −1.121   0.262
            one female had to be removed from the dataset, leaving   DGT     0.140   1.150  0.039  3.541  0.0004***
            a total of 215 subjects. Those patients removed tended to   FTS Tonsils  0.009  1.009  0.053  0.180   0.857
            have very severe apnea that disrupted their sleep, which   MM Palate  0.015  1.015  0.049  0.307   0.759
            may have reduced the power of the statistical results.
                                                               Null deviance: 144.583 on 214 degrees of freedom
              The mean age of the male and female subjects was 47.2 ±   Residual deviance: 96.113 on 205 degrees of freedom
            14.2 years and 48.2 ± 15.5 years, respectively. Mean BMI of   AIC: 646.74
            the males was 29.5 ± 6.4 kg/m  and of the females was 30.7
                                    2
            ± 9.4 kg/m . Mean sleep efficiency of the males was 58.5   Notes: This multivariate Poisson regression model used a 5-point
                     2
                                                               apnea-hypopnea index (AHI) scale (see text) as the dependent variable
            ± 30.4% and of the females was 67.7 ± 26.4%. Total sleep   and the three anatomical rating scales (Douglass gagging test [DGT],
            time was 232 ± 136 min for the males and 282 ± 127 min   Friedman tonsil size scale [FTS], modified Mallampati scale [MM]; see
            for the females. Mean wake after first sleep onset (WASO)   text) as well as body mass index (BMI), Epworth sleepiness scale (ESS;
            for the males and the females was 59.9 ± 52.9 min and 65.7   reference level “normal”), age, and sex (reference level “female”) as
                                                               predictor variables. The ESS, MM, and FTS scales were not statistically
            ± 64.7 min, respectively. Mean AHI of the males was 30.2 ±   significant and did not successfully predict the AHI. ***P<0.001,
            27.0 events/hr and of the females was 20.5 ± 26.1 events/hr.   **P<0.01, *P<0.05.
            Mean minimum arterial oxygen saturation of the males and   Abbreviations: AIC: Akaike information criterion; Coeff: Regression
            the females was 87.8 ± 14.6% and 87.2 ± 16.6%, respectively.   coefficient from the Poisson regression; DGT: Douglass gagging test;
            The average duration of the longest apnea was 26 ± 20.1 s in   Exp (Coeff): Base of the natural logarithms exponentiated by Coeff,
                                                               which can be interpreted as follows: A one-point increase in DGT, such
            the males and 19.6 ± 15.5 s in the females.        as from 0 to 1, predicted a 1.15 point increase in the AHI scale; FTS
              Table  1 shows a cross-tabulation by sex and AHI   Tonsils: Friedman tonsil size scale; MM Palate: Modified Mallampati
                                                               soft palate position scale; Pr(>|z|): Statistical significance of Coeff;
            category. There was a significant difference in the pattern   S.E.: Standard error of Coeff; Z-value: Multivariate Z-score from the
            of severity, with males having more of the severe SDB and   regression.


            Volume 3 Issue 4 (2024)                         4                               doi: 10.36922/gtm.4548
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