| Literature DB >> 35396955 |
Anna Penella1, Marta Mesalles-Ruiz2,3, Alejandro Portillo2, Gabriel Huguet Llull2,3, Eva Bagudà2, Marta Capelleras2, Julio Nogués2, Manuel Mañós2,3, Xavier Gonzàlez-Compta2,3.
Abstract
PURPOSE: The purpose is to analyze the incidence of acute infectious supraglottitis in our center between 2010 and 2020, define the characteristics and trends of those patients and identify factors associated with the need of airway intervention.Entities:
Keywords: Epiglottic abscess; Epiglottitis; Hypersalivation; Risk factors; Smoking; Supraglottitis
Mesh:
Year: 2022 PMID: 35396955 PMCID: PMC8994090 DOI: 10.1007/s00405-022-07365-z
Source DB: PubMed Journal: Eur Arch Otorhinolaryngol ISSN: 0937-4477 Impact factor: 2.503
Descriptive baseline of the patients: epidemiological and clinical features of patients with supraglottitis
| [All] | ||
|---|---|---|
| Sex, | 88 | |
| Man | 59 (67%) | |
| Women | 29 (33%) | |
| Age, mean (standard deviation) | 52.64 (15.59) | 88 |
| BMI, median [25%; 75%] | 29.07 [26.13; 32.89] | 67 |
| Diabetes, | 88 | |
| No | 72 (82%) | |
| Yes | 16 (18%) | |
| Immunosuppression, | 88 | |
| No | 86 (98%) | |
| Yes | 2 (2%) | |
| Hypersalivation, | 88 | |
| No | 73 (83%) | |
| Yes | 15 (17%) | |
| Muffled voice, | 88 | |
| No | 52 (59%) | |
| Yes | 36 (41%) | |
| Stridor, | 88 | |
| No | 83 (94%) | |
| Yes | 5 (6%) | |
| Respiratory distress, | 88 | |
| No | 55 (63%) | |
| Yes | 33 (38%) | |
| Smoke, | 88 | |
| No | 50 (57%) | |
| Yes | 38 (43%) | |
| Days with symptoms before hospital admission, Median [25%; 75%] | 2 [1; 3] | 88 |
| Disease extension, | 88 | |
| Only epiglottic swelling | 37 (42%) | |
| Supraglottic swelling | 35 (40%) | |
| Epiglottic abscess | 16 (18%) | |
| Airway management, | 88 | |
| Conservative | 73 (83%) | |
| Airway intervention | 15 (17%) |
Fig. 1Incidence of acute supraglottitis over an 11-year period. Patients with supraglottitis were stratified according to the extension of the disease (only epiglottic swelling, supraglottic swelling, epiglottic abscess). The figure shows an upward trend in the incidence of supraglottitis in recent years
Fig. 2Cervical CT scan with an epiglottic abscess. Axial (A) and sagittal (B) sections of CT scan: collection suggestive of epiglottic abscess, measuring 34 × 26 × 15 mm
Descriptive baseline of the patients according to airway management. Description of associated factors for airway intervention according to univariate analysis
| Conservative | Airway intervention | |||
|---|---|---|---|---|
| Sex | 0.367 | 88 | ||
| Man | 47 (80%) | 12 (20%) | ||
| Woman | 26 (90%) | 3 (10%) | ||
| Age mean (standard deviation) | 54.5 (15.7) | 43.6 (12.0) | 88 | |
| Age median [25%; 75%] | 55.0 [42.0;67.0] | 44.0 [34.5;51.5] | 88 | |
| BMI median [25%; 75%] | 29.1 [26.3;32.9] | 28.3 [25.3;32.7] | 0.647 | 67 |
| Diabetes: | 0.729 | 88 | ||
| No | 59 (82%) | 13 (18%) | ||
| Yes | 14 (88%) | 2 (12%) | ||
| Immunosuppression: | 1.000 | 88 | ||
| No | 71 (83%) | 15 (17%) | ||
| Yes | 2 (100%) | 0 (0%) | ||
| Hypersalivation: | 0.123 | 88 | ||
| No | 63 (86%) | 10 (14%) | ||
| Yes | 10 (67%) | 5 (33%) | ||
| Muffled voice: | 0.834 | 88 | ||
| No | 44 (85%) | 8 (15%) | ||
| Yes | 29 (81%) | 7 (19%) | ||
| Stridor: | 1.000 | 88 | ||
| No | 69 (83%) | 14 (17%) | ||
| Yes | 4 (80%) | 1 (20%) | ||
| Respiratory distress: | 0.608 | 88 | ||
| No | 47 (86%) | 8 (14%) | ||
| Yes | 26 (79%) | 7 (21%) | ||
| Smoke: | 0.084 | 88 | ||
| No | 45 (90%) | 5 (10%) | ||
| Yes | 28 (74%) | 10 (26%) | ||
| Disease extension: | 88 | |||
| Only epiglottic swelling | 32 (87%) | 5 (13%) | ||
| Supraglottic swelling | 32 (91%) | 3 (9%) | ||
| Epiglottic abscess | 9 (56%) | 7 (44%) | ||
| Days with symptoms before hospital admission | 2.00 [1.00;3.00] | 2.00 [1.00;2.50] | 0.264 | 88 |
Statistically significant results are highlighted in bold
Adjusted odds ratios obtained by logistic regression analysis for predictors of airway intervention
| Predictors | Airway intervention | ||
|---|---|---|---|
| Odds ratios | CI | ||
| (Intercepto) | 0.28 | 0.01–4.35 | 0.376 |
| Disease extension [Epiglottitis] | 0.84 | 0.13–4.86 | 0.845 |
| Disease extension [Epiglottic abscess] | 8.31 | 1.65–53.40 | |
| Age | 0.96 | 0.90–1.01 | 0.111 |
| Smoke [Yes] | 5.15 | 1.24–28.80 | |
| Hypersalivation [Yes] | 5.69 | 1.24–28.70 | |
| Observations | 88 | ||
| 0.268 | |||
Description of associated factors for airway intervention according to multivariate analysis
Statistically significant results are highlighted in bold
Fig. 3Predicted probability curves of airway intervention in relation to disease extension and age. These curves show the probability in our cohort of patients that a patient, according to age and disease extension, would require airway intervention. For example, a 20-year-old patient with an epiglottic abscess has a 60% of probability of airway intervention, and the same patient with supraglottic swelling a 25% of probability
Fig. 4Predicted probability curves of airway intervention in relation to disease extension and days with symptoms before hospital admission. These curves show the probability in our cohort of patients that a patient, according to days with symptoms before hospital admission and disease extension, would require airway intervention. For example, a patient with an epiglottic abscess and symptoms that started less than 24 h before hospital admission has almost a 70% of probability of airway intervention, while patients with other supraglottitis extensions have a probability of around 20%