Plastic Surgery International
Volume 2016 (2016), Article ID 6945297, 9 pages
http://dx.doi.org/10.1155/2016/6945297

Research Article

Predictors of Nasal Obstruction: Quantification and Assessment Using Multiple Grading Scales

Macario Camacho,1,2 Soroush Zaghi,3,4 Victor Certal,5,6 Jose Abdullatif,⁷ Rahul Modi,3,8 Shankar Sridhara,⁹ Anthony M. Tolisano,¹ Edward T. Chang,¹ Benjamin B. Cable,¹ and Robson Capasso³

¹Otolaryngology-Head and Neck Surgery, Tripler Army Medical Center, Honolulu, HI 96859, USA
²Department of Psychiatry and Behavioral Sciences, Sleep Medicine Division, Stanford Hospital and Clinics, Stanford, CA 94063, USA
³Otolaryngology-Head and Neck Surgery, Division of Sleep Surgery and Medicine, Stanford Hospitals and Clinics, Stanford, CA 94304, USA
⁴Department of Head and Neck Surgery, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA
⁵Department of Otorhinolaryngology, Sleep Medicine Centre, Hospital CUF, 4100-180 Porto, Portugal
⁶Centre for Research in Health Technologies and Information Systems (CINTESIS), University of Porto, 4200-450 Porto, Portugal
⁷Department of Otorhinolaryngology, Hospital Bernardino Rivadavia, C1425ASQ Buenos Aires, Argentina
⁸Department of Otolaryngology-Head and Neck Surgery, Dr. L. H. Hiranandani Hospital Mumbai, Maharashtra 400076, India
⁹Otolaryngology-Head and Neck Surgery, Dwight D. Eisenhower Army Medical Center, Fort Gordon, GA 30905, USA

Received 26 September 2015; Accepted 23 March 2016

Academic Editor: Selahattin Özmen

Copyright © 2016 Macario Camacho et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract.

Objective. To evaluate the association between nasal obstruction and (1) demographic factors, (2) medical history, (3) physical tests, and (4) nasal exam findings. Study Design. Case series. Methods. Chart review at a tertiary medical center. Results. Two hundred-forty consecutive patients ( years old, with a Nasal Obstruction Symptom Evaluation (NOSE) score of ) were included. Demographic factors and inferior turbinate sizes were not associated with NOSE score or Nasal Obstruction Visual Analog Scale (NO-VAS). A significant association was found between higher NOSE score on univariate analysis and positive history of nasal trauma (), allergic rhinitis (), use of nasal steroids (), higher grade of external nasal deformity (), higher internal nasal septal deviation grade (), and narrow internal nasal valve angle (). Multivariate analysis identified the following as independent predictors of high NOSE score: NO-VAS: ≥50 (Odds Ratio (OR) = 17.6 (95% CI 5.83–61.6), ), external nasal deformity: grades 2–4 (OR = 4.63 (95% CI 1.14–19.9), ), and allergic rhinitis: yes (OR = 5.5 (95% CI 1.77–18.7), ). Conclusion. Allergic rhinitis, NO-VAS score ≥ 50, and external nasal deformity (grades 2–4) were statistically significant independent predictors of high NOSE scores on multivariate analysis. Inferior turbinate size was not associated with NOSE scores or NO-VAS.

1. Introduction

Nasal obstruction is a frequent complaint, which affects breathing during wakefulness and sleep [1]. Systematic evaluation of nasal obstruction remains challenging due to the high number of variables and factors that can contribute to nasal obstruction. These can be grouped into four major categories: (1) demographic factors, (2) medical history, (3) physical tests, and (4) nasal exam findings. Notably, nasal exam findings do not always correlate with patient symptoms. For example, some patients with internal nasal septal deviations, narrow internal nasal valve angles, and/or large inferior turbinates may have no or few complaints of nasal obstruction, while other patients may complain of nasal obstruction despite the presence of minimal objective anatomical abnormalities. These observations are well known to otolaryngologists, but the efforts to quantify obstruction in a way that allows for systematic study have been a long term challenge. Several grading scales and classification systems (for nasal physical exam findings) and questionnaires (for nasal obstruction) have been developed over the years to assist in the quantification and assessment of nasal obstruction.

The Nasal Obstruction Symptom Evaluation (NOSE) scale [3] developed by Stewart et al. is a validated quality of life instrument which quantifies nasal obstruction and is commonly used in the international literature. The NOSE scale questionnaire is composed of five questions. Each question is graded on a Likert scale from 0 (not a problem) to 4 (severe problem), and the final summed score is multiplied by 5 so that the total score ranges from 0 to 100 (0 = no obstruction, 100 = severe obstruction) [3]. Additionally, the Nasal Obstruction Visual Analog Scale (NO-VAS) is another reliable tool to quantify nasal obstruction in the absence of rhinomanometry and has a very strong direct relationship with nasal airflow resistance [4]. NO-VAS is generally performed by having patients quantify their perceived nasal obstruction using a continuous scale from 0 to 10 in which 0 corresponds to no obstruction and 10 corresponds to complete obstruction [4]. Additionally, the nasal anatomy can be evaluated by using grading scales, such as the inferior turbinate classification system, in which there are 4 grades that correspond to the space occupied by the anterior aspect of the inferior turbinate relative to the total airway space at that location [2].

The objective of this study was to evaluate the association of demographic factors, medical history, physical tests, and nasal exam findings with nasal obstruction using the NOSE score and the NO-VAS.

2. Materials and Methods

The Stanford University Institutional Review Board provided written approval for the protocol. This study is a retrospective case series of 240 consecutive patients evaluated in the Stanford Sleep Clinic between February 1st and June 30th, 2014, by a single board certified otolaryngologist (M.C.) specializing in sleep surgery and sleep medicine. History and physical examination data were cataloged using Microsoft® Excel® 2013 (Redmond, WA, USA). JMP 11.2 Pro (SAS Institute Inc., Cary, NC) was used for statistical analysis. The age, gender, body mass index (BMI), and ethnicity of the patients were recorded. The following items were assessed on a yes or no scale for medical history: history of nasal trauma, prior nasal surgery, history of allergic rhinitis, use of nasal steroids, use of nasal antihistamines, and use of oral antihistamines.

A detailed physical examination of the nasal passages was performed via anterior rhinoscopy using a simple handheld otoscope without distorting the patients’ anatomy. Assessment was performed of external nasal deformity, internal nasal septal deviation, internal nasal valve angle, internal nasal valve collapse, and inferior turbinate size using ordinal scales ranging from 1 to 4. Inferior turbinate size was based on the degree of obstruction caused by the anterior aspect of the inferior turbinate relative to the total airway space and was graded as 0–25%, 26–50%, 51–75%, and 76–100%; see Figure 1 [2]. External nasal deformity was graded as none, mild, moderate, and severe. Internal nasal septal deviation was graded as 0–25% deflection, 26–50% deflection, 51–75% deflection, and 76–100% deflection (based on deflection from midline toward the lateral wall). Internal nasal valve angle was graded as <5 degrees, 5 to <10 degrees, 10 to <15 degrees, and 15 or more degrees. Internal nasal valve collapse was graded as no collapse, mild collapse (<33%), moderate collapse (33–66%), and severe collapse (>66%) [5].

(a)

(b)

(c)

(d)

Figure 1: Inferior turbinate sizes. (a) Grade 1 (0%–25% of total airway space). (b) Grade 2 (26%–50% of total airway space). (c) Grade 3 (51%–75% of total airway space). (d) Grade 4 (76%–100% of total airway space). Reproduced with permission [2].

Additionally, patients were asked to rate the degree of nasal obstruction at the time of the physical exam using a modified Nasal Obstruction Visual Analog Scale (NO-VAS) from 0 to 10 in which 0 corresponds to no obstruction and 10 corresponds to complete obstruction (converted to 0 to 100% obstruction) in each of three conditions: both nostrils open, left nostril open (cover right), and right nostril open (cover left) [4]. The Cottle sign (Cottle maneuver) was performed to assess the subjective effect on nasal airflow and graded 1–4 as no improvement, mild improvement, moderate improvement, and significant improvement [6]. The external nasal deformities, cephalocaudal internal nasal septal deviations, and anteroposterior internal nasal septal deviations were classified as C-shaped, reverse C-shaped, S-shaped, or reverse S-shaped if a deviation was present [7].

Distribution of patients’ characteristics, medical history, and nasal exam findings are reported using the percent total for nominal and ordinal data and mean ± standard deviation (M ± SD) for continuous data. Univariate analysis was performed to assess an association with the NOSE score [3] using Pearson correlation for continuous variables, ANOVA for multinomial and ordinal data, and Student’s -test for binomial data. Multivariate analysis was performed with a nominal logistic model to include each of the variables found to have a significant association on univariate analysis: NO-VAS score, internal nasal valve angle, external nasal deformity, history of allergic rhinitis, effect of the Cottle maneuver, positive nasal septal deviation, and history of nasal trauma. Continuous and ordinal data were transformed into binomial data using cut-offs and were guided by using the Connecting Letters Report of ANOVA, Compare Means, Each Pair function of JMP. Statistical significance was defined as a value < 0.05.

3. Results

There were 240 patients included in this study. The M ± SD for age was years and for BMI was  kg/m². There were 159 males (66.3%) and 81 females (33.7%). See Table 1 for summary of patient demographic characteristics. The inferior turbinate sizes were averaged for all 240 patients (480 inferior turbinates) and the M ± SD were . These were subcategorized by race, Asian: ( turbinates), Black: ( turbinates), Caucasian: ( turbinates), and Latino: ( turbinates).

Table 1: Summary of patient characteristics and association with NOSE score.

Percent total or mean ± SD
( = number of patients)
NOSE score
mean ± SD or Pearson’s
value, statistical test

‡ (one-way ANOVA)

† (Student’s -test)

(Pearson correlation) 

= statistical significance

Demographics

    Age (years)
52.1 ± 17.5 years
()
= 8.5 × 10⁻⁵ 
No or negligible relationship
= 0.8843,

    Gender (%)

        Male
66.3% ()
30.4 ± 22.5
= 0.1486, †

        Female
33.7% ()
35.2 ± 26.8

    BMI (kg/m²)
29.0 ± 6.8 kg/m² 
()
= 0.0007
No or negligible relationship
= 0.6815,

    Ethnicity (%)

        Caucasian
69.1% ()
33.4 ± 24.5
= 0.2572, ‡

        Asian
12.5% ()
26.8 ± 23.5

        Hispanic
7.1% ()
25.2 ± 20.3

        Indian
6.3% ()
27.1 ± 19.0

        Black
4.1% ()
44.3 ± 29.9

        Pacific Islander
0.83% ()
27.5 ± 3.5

Medical history

    History of nasal trauma (%)

        Yes
18.7% ()
40.0 ± 23.6
= 0.0136, †

        No
81.3% ()
30.2 ± 23.9

    Prior nasal surgery (%)

        Yes
22.5% ()
36.3 ± 23.6
= 0.1421, †

        No
77.5% ()
30.8 ± 24.2

    Allergic rhinitis (%)

        Yes
33.8% ()
41.2 ± 25.8
< 0.0001, †

        No
66.3% ()
27.3 ± 21.8

    Nasal steroids (%)

        Yes
14.6% ()
41.5 ± 24.9
= 0.0108, †

        No
85.4% ()
30.4 ± 23.7

    Nasal antihistamines (%)

        Yes
10.8% ()
38.0 ± 25.0
= 0.1820, †

        No
89.1% ()
31.3 ± 23.9

    Oral antihistamines (%)

        Yes
5.0% ()
31.5 ± 23.8
= 0.1379, †

        No
95.0% ()
42.0 ± 28.8

The mean NOSE score for this population was (range: 0/100 to 92.5/100) corresponding to overall mild to moderate complaints of symptomatic nasal obstruction. None of the demographic factors were found to have a significant association with NOSE scores. For medical history, a positive history of nasal trauma (), allergic rhinitis (), and use of nasal steroids () were significantly associated with higher NOSE scores on univariate analysis. The following nasal physical exam findings were also associated with higher NOSE scores on univariate analysis: higher grade of external nasal deformity (Odds Ratio (OR) = 3.59, ), higher grade of internal nasal septal deviation (OR = 2.05, ), and narrow internal nasal valve angle (OR = 4.34, ). In addition, the clinical test findings associated with high NOSE scores were NO-VAS patient subjective sensation of nasal obstruction (OR = 11.1, ) and significant improvement with the Cottle maneuver on subjective sensation of nasal airflow (OR = 2.28 (95% CI = 1.03), ). There was no significant relationship between the classification of external nasal deformity and internal septal deviation on NOSE scores. See Tables 2(a) and 2(b).

Table 2: (a) Distribution of nasal physical exam findings and association with NOSE scores. (b) Additional nasal physical exam findings and association with NOSE scores.

(a)

Percent total
( = number of patients)
NOSE score by subgroup
(mean ± SD)
value

(one-way ANOVA)

= statistical significance

External nasal deformity

    Grade 1: none
82.5% ()
30.1 ± 22.8
= 0.0149

    Grade 2: mild
9.2% ()
34.5 ± 25.3

    Grade 3: moderate
7.9% ()
48.5 ± 30.2

    Grade 4: severe
0.4% ()
35.0

Nasal septum deviation

    Grade 1: 0 to 25% deflection
53.3% ()
27.7 ± 22.0
= 0.0024

    Grade 2: 26–50% deflection
31.6% ()
33.5 ± 22.9

    Grade 3: 51–75% deflection
8.3% ()
43.3 ± 32.8

    Grade 4: 76–100% deflection
6.7% ()
45.9 ± 25.4

Internal nasal valve angle
Right
Left
Right
Left
Right
Left

    Grade 1: <5 degrees
3.8% ()
4.2% ()
66.1 ± 18.3
58.0 ± 27.4
< 0.0001
< 0.0001

    Grade 2: 5 to <10 degrees
18.1% ()
18.1% ()
44.3 ± 25.5
44.1 ± 24.8

    Grade 3: 10 to <15 degrees
51.9% ()
53.6% ()
29.1 ± 21.9
28.9 ± 21.5

    Grade 4: 15 or more degrees
26.2% ()
24.1% ()
24.8 ± 21.6
25.7 ± 22.6

Internal nasal valve collapse
Right
Left
Right
Left
Right
Left

    Grade 1: no collapse
74.1% ()
74.2% ()
No significant difference between groups
= 0.4210
= 0.1053

    Grade 2: mild collapse ≤ 33%
17.9% ()
18.3% ()

    Grade 3: moderate collapse = 34–66%
7.5% ()
6.7% ()

    Grade 4: severe collapse ≥ 67%
0.4% ()
8.3% ()

Inferior turbinate size
Right
Left
Right
Left
Right
Left

    Grade 1: 0–25% AP nasal airway space
27.9% ()
25.0% ()
No significant difference between groups
= 0.9472
= 0.1618

    Grade 2: 26–50% AP nasal airway space
24.1% ()
27.1% ()

    Grade 3: 51–75% AP nasal airway space
30.0% ()
32.9% ()

    Grade 4: 76–100% AP nasal airway space
17.9% ()
15.0% ()

(b)

Subgroup
% total or mean ± SD
( = number)
NOSE score
mean ± SD or Pearson’s
value, statistical test

‡ (one-way ANOVA)

(Pearson correlation)

= statistical significance

Nasal obstruction visual analog scale (NO-VAS): 0–100

    Bilateral (both nostrils open)
22.3 ± 23.8
= 0.38; moderate positive relationship
< 0.0001,

    Left nostril (cover right)
27.6 ± 28.0
= 0.37; moderate positive relationship
< 0.0001,

    Right nostril (cover left)
23.0 ± 25.7
= 0.21; weak positive relationship
,

Cottle maneuver effect on nasal airflow

    Grade 1: no improvement
11.1% ()
15.0 ± 17.9
= 0.0087, ‡

    Grade 2: mild improvement
39.6% ()
30.3 ± 22.9

    Grade 3: moderate improvement
25.7% ()
37.4 ± 24.1

    Grade 4: significant improvement
23.6% ()
37.4 ± 27.2

Classification of external nasal deformities

    C-shaped
26.7% ()
No significant difference between groups
= 0.8352, ‡

    Reverse C-shaped
60.0% ()

    S-shaped
13.3% ()

    Reverse S-shaped
0% ()

Classification of septal deviations: cephalocaudal dimension

    C-shaped
51.4% ()
No significant difference between groups
= 0.5270, ‡

    Reverse C-shaped
36.8% ()

    S-shaped
7.4% ()

    Reverse S-shaped
4.4% ()

Classification of septal deviations: anteroposterior dimension

    C-shaped
50.0% ()
No significant difference between groups
= 0.6841, ‡

    Reverse C-shaped
36.0% ()

    S-shaped
10.9% ()

    Reverse S-shaped
3.1% ()

Multivariate analysis was used to develop a nominal logistic model with seven variables in which three clinical factors were identified as statistically significant independent predictors of high NOSE scores: NO-VAS: ≥50 (OR = 17.6 (95% CI 5.83–61.6), ), external nasal deformity: grades 2–4 (OR = 4.63 (95% CI 1.14–19.9), ), and allergic rhinitis: yes (OR = 5.5 (95% CI 1.77–18.7), ); see Table 3. Exploratory analysis with backward elimination revealed that the variable “internal nasal valve angle” was significant on multivariate analysis only when external nasal deformity was excluded, suggesting that the two variables overlap to a significant degree. Pearson chi square analysis demonstrated a significant association between external nasal deformity (grades 2–4) and internal nasal valve angle < 10 degrees (either <5 degrees or 5 to <10 degrees) (OR = 3.33 (95% CI 1.67–6.64), ). Univariate analysis with one-way ANOVA showed that external nasal deformity and internal nasal valve angles were significantly associated with NO-VAS scores; see Table 4. Inferior turbinate size was not associated with NOSE scores or any of the NO-VAS measures.

Table 3: Clinical factors related to high NOSE score (≥50, “moderate to severe problem”): results of univariate and multivariate analysis.

Prognostic factor
Univariate analysis
Multivariate analysis

Odds ratio
95% confidence interval
value
(Pearson’s chi square)
Odds ratio
95% confidence interval
value
(Pearson’s chi square)

Nasal obstruction visual analog scale: ≥50
11.1
4.40–28.11
< 0.0001
17.6
5.83–61.6
< 0.0001

Internal nasal valve angle: <10 degrees (grade 1 or 2)‡
4.34
2.31–8.12
< 0.0001
NS
NS
= 0.2433

External nasal deformity: mild to severe (grades 2–4)
3.59
1.79–7.22
= 0.0002
4.63
1.14–19.9
= 0.0339

Allergic rhinitis: yes
3.36
1.83–6.16
< 0.0001
5.5
1.77–18.7
= 0.0041

Use of nasal steroids: yes
2.30
1.08–4.89
= 0.0266
NS
NS
= 0.2262

Cottle maneuver: moderate to significant improvement (grade 3 or 4)
2.28
1.03–5.07
= 0.0399
NS
NS
= 0.2862

Nasal septal deviation: mild to severe (grades 2–4)
2.05
1.13–3.72
= 0.0168
NS
NS
= 0.1906

History of nasal trauma: yes
1.89
0.94–3.80
= 0.0697
NS
NS
= 0.6106

‡At least one nasal valve (right or left) with angle < 10 degrees.

Statistical significance.

Table 4: Association of nasal physical exam findings with NO-VAS scores at time of exam.

Percent total
( = number of patients)
NO-VAS score by subgroup
(mean ± SD)
value
(one-way ANOVA)
= statistical significance

External nasal deformity

NO-VAS: bilateral

    Grade 1: none
88.6% ()
20.6 ± 23.9
= 0.0099

    Grade 2: mild
0%
N/A

    Grade 3: moderate
11.4% ()
36.3 ± 18.2

    Grade 4: severe
0%
N/A

Nasal septum deviation

    Grade 1: 0 to 25% deflection
60.4% ()
No significant difference between groups
= 0.0612

    Grade 2: 26–50% deflection
21.4% ()

    Grade 3: 51–75% deflection
12.1% ()

    Grade 4: 76–100% deflection
6.0% ()

Internal nasal valve angle
Right
Left
NO-VAS: right
NO-VAS: left
Right
Left

    Grade 1: <5 degrees
4.1% ()
6.1% ()
54.8 ± 29.9
48.2 ± 34.2
= 0.0023
= 0.0014

    Grade 2: 5 to <10 degrees
17.8% ()
17.8% ()
24.9 ± 20.1
39.7 ± 24.5

    Grade 3: 10 to <15 degrees
43.8% ()
45.8% ()
23.8 ± 26.1
25.6 ± 26.1

    Grade 4: 15 or more degrees
34.2% ()
30.1% ()
15.6 ± 23.0
18.3 ± 27.2

Internal nasal valve collapse
Right
Left
Right
Left
Right
Left

    Grade 1: no collapse
86.5% ()
86.6% ()
No significant difference between groups
= 0.6166
= 0.2666

    Grade 2: mild collapse ≤ 33%
4.0% ()
3.4% ()

    Grade 3: moderate collapse = 34–66%
10.0% ()
9.4% ()

    Grade 4: severe collapse ≥ 67%
0%
0.7% ()

Inferior turbinate size
Right
Left
Right
Left
Right
Left

    Grade 1: 0–25% AP nasal airway space
26.8% ()
22.1% ()
No significant difference between groups
= 0.1487
= 0.9494

    Grade 2: 26–50% AP nasal airway space
24.8% ()
22.8% ()

    Grade 3: 51–75% AP nasal airway space
30.2% ()
40.9% ()

    Grade 4: 76–100% AP nasal airway space
18.1% ()
14.0% ()

4. Discussion

There are four main findings in this study. First, physical exam tests were significantly associated with nasal obstruction. This study demonstrated that the presence of an external nasal deformity and a narrow internal nasal valve angle are associated with higher NO-VAS scores. In some cases, especially when nasal steroids do not improve nasal breathing, a referral to an otolaryngologist may be warranted, as some patients may have fixed anatomical obstructions which could be improved with surgery. Examples include a narrow internal nasal valve angle and/or internal nasal septal deviation. We found that 89% of patients reported at least mild improvement in nasal breathing and nearly half of all patients reported moderate or significant improvement with the Cottle maneuver. For patients with no improvement in breathing with the Cottle maneuver, the NOSE score was very low (), while those with mild (), moderate (), or significant () improvement with the Cottle maneuver had higher NOSE scores. Given that the Cottle maneuver improved the subjective sensation of nasal airflow in 89% of patients in this study, this test may not be as helpful in determining the site of nasal obstruction, especially with regard to trying to determine if a specific nasal surgery would benefit the patient. However, it potentially could assist with determining who might benefit from surgery, generally.

Second, there are several different anatomical variables that may contribute to nasal obstruction. By using grading scales, this study was able to determine the specific grades of nasal anatomical variables that were associated with nasal obstruction. For example, we demonstrated that internal nasal septal deviations contribute significantly to nasal obstruction. More importantly, we identified a “severity-dependent” relationship, such that the average NOSE score increased with higher grade deflections. In contrast, the shape of the internal nasal septal deviations (in either the cephalocaudal or anteroposterior dimensions) was not associated with nasal obstruction, demonstrating that the severity of the septal deviation is most important. Furthermore, patients with an external nasal deformity were found to be highly likely to also have narrowing of the internal nasal valve, and narrow angles were associated with higher NOSE scores in a similar severity-dependent relationship. This underscores the importance of examination of the internal nasal valve angle during evaluation of the upper airway, particularly if an external nasal deformity is present.

Third, although the inferior turbinates seemingly contribute significantly to the overall nasal cavity airway space at the level of the internal nasal valve, the size of the inferior turbinates was not associated with either the NOSE score or NO-VAS measures. This study demonstrated that inferior turbinates are generally of larger sizes for Asians () and Blacks (), while they tend to be smaller in Caucasians () and are in between for Latinos (). Caution, therefore, should always be exercised in evaluating a patient with isolated turbinate hypertrophy, particularly if they do not have an elevated NOSE or NO-VAS score. Moreover, additional anatomic contributors to nasal obstruction should be sought in the patient with presumed isolated turbinate hypertrophy as the sole cause for nasal obstruction. In a systematic review, Rhee et al. identified several studies reporting a significant decrease in the NOSE score after inferior turbinoplasties were performed [8]. Therefore, inferior turbinoplasties alone may benefit patients with nasal obstruction and the isolated nasal exam finding of inferior turbinate hypertrophy. Inferior turbinoplasties are commonly performed at the time of septoplasties, septorhinoplasties, or sinus surgeries in order to increase the size of the nasal airway, which provides the additional benefit of increasing continuous positive airway pressure (CPAP) device use and decreasing therapeutic CPAP treatment pressures [9].

Lastly, we would encourage the use of questionnaires, grading scales, and classification systems as a means to help identify specific factors (demographics, medical history, physical tests, and nasal exam findings) that contribute to nasal obstruction. The use of these tools allows for the treatment (medical or surgical) to be evaluated in a systematic fashion before and after the intervention. The use of grading scales and the reporting of outcomes (with means and standard deviations) based on grades can also facilitate future research to include meta-analyses. Currently, there are several grading scales and classification systems in the published literature. In the head and neck, it is common to use four grades per subsite and this promotes high intra- and interrater reliability during validation testing [2]. Some head and neck subsites such as tonsil sizes [10] are commonly incorporated into the medical record. In this study, we referenced questionnaires and nasal exam classification systems based on a 1 to 4 grading scale, which have easily been incorporated into the standard physical examination. Future research could be aimed at evaluating the general population (especially in patients with no complaints of nasal obstruction) in order to help establish normative data.

5. Limitations

This study was a retrospective review, and, like any retrospective review, the authors are limited to what has been documented previously. However, because the first author incorporated a detailed upper airway exam to include the use of grading scales for nasal examinations, these were consistently documented into the medical record in a standardized way. The findings from this study are based on a single institution; the goal of the authors is to perform future multi-institutional studies evaluating the effect of multiple variables on nasal obstruction.

6. Conclusion

Allergic rhinitis, NO-VAS score ≥ 50, and external nasal deformity were statistically significant independent predictors of high NOSE scores on multivariate analysis. Inferior turbinate size was not associated with NOSE scores or NO-VAS.

Disclosure

Authors have no financial interests in any companies or other entities that have an interest in the information in the contribution (e.g., grants, advisory boards, employment, consultancies, contracts, honoraria, royalties, expert testimony, partnerships, or stock ownership in medically related fields). Institution where the work was primarily performed is Stanford Hospital. The views herein are the private views of the authors and do not reflect the official views of the Department of the Army or the Department of Defense.

Competing Interests

The authors declare that they have no competing interests.

Authors’ Contributions

All authors met the criteria for authorship established by the International Committee of Medical Journal Editors; specifically Macario Camacho and Soroush Zaghi were responsible for substantial contribution to the conception, design, statistical analysis, and drafting the work, revising the work, and reviewing the paper. Victor Certal, Jose Abdullatif, Rahul Modi, and Shankar Sridhara were responsible for substantial contribution to the conception, design, revising the work, and reviewing the paper. Anthony M. Tolisano, Edward T. Chang, Benjamin B. Cable, and Robson Capasso had substantial contributions to the nonstatistical analysis and interpretation of data for the work and revising the work critically for important intellectual content. Additionally, all authors provided final approval of the version to be published and agreed to be accountable for all aspects of the work in ensuring the accuracy and/or integrity of the work.

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