Skip to main content
PLOS One logoLink to PLOS One
. 2018 Jun 11;13(6):e0199036. doi: 10.1371/journal.pone.0199036

Risk of acute epiglottitis in patients with preexisting diabetes mellitus: A population-based case–control study

Yao-Te Tsai 1,2, Ethan I Huang 1,2, Geng-He Chang 1,2, Ming-Shao Tsai 1,2, Cheng-Ming Hsu 1,2, Yao-Hsu Yang 3,4,5, Meng-Hung Lin 6, Chia-Yen Liu 6, Hsueh-Yu Li 7,*
Editor: Yu Ru Kou8
PMCID: PMC5995441  PMID: 29889887

Abstract

Objective

Studies have revealed that 3.5%–26.6% of patients with epiglottitis have comorbid diabetes mellitus (DM). However, whether preexisting DM is a risk factor for acute epiglottitis remains unclear. In this study, our aim was to explore the relationship between preexisting DM and acute epiglottitis in different age and sex groups by using population-based data in Taiwan.

Methods

We analyzed data between January 2000 and December 2013 obtained from the Taiwan National Health Insurance Research Database. The case group consisted of 2,393 patients with acute epiglottitis. The control group comprised 9,572 individuals without epiglottitis, frequency matched by sex, age, urbanization level, and income. Underlying DM was retrospectively assessed in the cases and controls. Univariate and multivariate logistic regression analyses were used to investigate the associations between underlying DM and acute epiglottitis.

Results

Of the 2,393 patients, 180 (7.5%) had preexisting DM, whereas only 530 (5.5%) of the 9,572 controls had preexisting DM. Multivariate logistic regression analyses indicated that preexisting DM was significantly associated with acute epiglottitis (adjusted odds ratio [aOR] = 1.42, 95% confidence interval [CI] = 1.15–1.75, P = 0.004). Subgroup analysis showed that the association between DM and epiglottitis remained significant for men (aOR = 1.57, 95% CI: 1.19–2.08, p = 0.002) but not for women. Age-stratified analysis revealed a significant association between DM and acute epiglottitis in patients aged 35–64 years. Use of anti-diabetic agents was not significantly associated with the development of acute epiglottitis among diabetic patients, including oral hypoglycemic agents (OHA) alone (aOR = 0.88, 95% CI = 0.53–1.46, p = 0.616), and OHA combined with insulin/ insulin alone (aOR = 1.30, 95% CI = 0.76–2.22, p = 0.339). The association between presence of diabetes complications and the occurrence of acute epiglottitis was also not significant among diabetic patients in this study setting (aOR = 0.86, 95% CI = 0.59–1.26, p = 0.439).

Conclusions

The results of our large-scale population-based case–control study indicate that preexisting DM is one of the possible factors associated with the development of acute epiglottitis. Physicians should pay attention to the symptoms and signs of acute epiglottitis in DM patients, particularly in men aged 35–64 years.

Introduction

Epiglottitis is the acute inflammation of the supraglottic region, including the epiglottis, arytenoids, and aryepiglottic folds. It is a true airway emergency, and without timely intervention, the supraglottic swelling may lead to life-threatening airway obstruction[1, 2] and severe complications such as sepsis,[3] meningitis,[4] necrotizing fasciitis, and mediastinitis.[58] The risk factors for epiglottitis include old age, the male sex, obesity, a preexisting epiglottic cyst, and an impaired host immune system.[911] Infected epiglottic cysts and impaired immunity have also been reported to increase the risk of recurrent episodes.[9, 10] The most common pathogens implicated in acute epiglottitis are bacteria such as type-b Haemophilus influenzae, alpha- and beta-hemolytic streptococci, Staphylococcus aureus, Escherichia coli, Enterobacter, Klebsiella pneumoniae, and other H. influenzae species.[12] Other reported causes include viral infections, fungal infections, trauma by a foreign body, inhalation burns, and chemical ingestion.[13] However, despite detailed investigation, a specific pathogen can be identified from blood or throat cultures in only 10%–25% of patients with epiglottitis.[14, 15] The incidence of pediatric epiglottitis dropped dramatically after routine use of the H. influenzae type-b (Hib) vaccine in childhood vaccination programs.[1620] However, the incidence of acute epiglottitis in adults has been either increasing[2, 12, 16, 21] or remaining constant.[17, 22] Shah et al. conducted an 8-year retrospective review of epiglottitis admissions from 1998 to 2006 and concluded that epiglottitis continues to be a significant clinical entity in the United States and that the incidence of adult epiglottitis is increasing in two groups: those 45–64 years of age and those older than 85 years.[23] A common perception is that in the Hib vaccine era, acute epiglottitis has become a disease of adults and that the pathogens of epiglottitis have shifted to those other than Hib.[2, 24] A considerable number of adult patients with epiglottitis have preexisting medical conditions at diagnosis, such as diabetes mellitus (DM), hypertension, and alcohol abuse, which may weaken their immunity and increase their susceptibility to infections.[12, 15, 22, 25]

Studies has revealed that 3.5%–26.6% of patients with epiglottitis have comorbid DM,[26, 27] and some have life-threatening complications with a fulminant clinical course [28, 29]. Moreover, studies have indicated that the severity of epiglottitis is higher in patients with DM due to the higher 2-day mortality and the elevated risk of airway obstruction necessitating intervention in such patients than in those without DM.[9, 11, 21, 22, 30] Nevertheless, a quantitative relationship between DM and acute epiglottitis has not been established in pediatric or adult patients due to the disease rarity. In the present population-based study, our aim was to explore the relationship between preexisting DM and acute epiglottitis in different age and sex groups by using data from the National Health Insurance Research Database (NHIRD) in Taiwan.

Material and methods

Ethics statement

The study protocol was reviewed and approved by the Institutional Review Board (IRB) of Chang Gung Memorial Hospital (approval no. 201701635B1). Since the NHIRD contains only de-identified secondary data, the IRB waived the requirement of informed consent.

Data source

The Taiwanese government implemented a compulsory National Health Insurance (NHI) program in March 1995, which is a nationwide health care system and provides medical services for the country’s 23.5 million residents. It covers over 99% of the population in Taiwan and records clinical diagnosis according to the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes.[31] All claims data are collected in the NHIRD, which contains encrypted personal information and provides various medical data including records of registration, ambulatory and inpatient care, catastrophic illness, surgical procedure, and medication.

The data used in this study originated from the Longitudinal Health Insurance Database 2005 (LHID2005), which is a representative database of the NHIRD. The LHID2005 includes all the medical claims (1996–2013) of 1 million individuals randomly selected from the 2005 Registry of Beneficiaries of the NHIRD by using a systematic sampling method, representing approximately 5% of all people in Taiwan. According to the Taiwan National Health Research Institutes reports, no statistically significant differences exist in age, sex, or health care costs between the sample group and all enrollees in the LHID2005.[32]

Study design and participants

We categorized patients into an acute epiglottitis (case) group and a nonepiglottitis (control) group. Patients who met the following criteria were selected into the case group: (1) diagnosed as having acute epiglottitis based on the ICD-9-CM code 464.3, 464.30, or 464.31 by an otolaryngologist; (2) had two or more ambulatory visits or at least one inpatient visit for acute epiglottitis; and (3) had no concomitant deep neck infection—that is, ICD-9 code 528.3 (cellulitis and abscess of oral soft tissues), 478.22 (parapharyngeal abscess), 478.24 (retropharyngeal abscess), or 682.11 (cellulitis and abscess of neck) (Fig 1).[31] For each of these patients, the date of initial epiglottitis diagnosis was assigned as the index date. To increase statistical power, for each case identified on the index date, we randomly selected four individuals without acute epiglottitis as controls on the same day. Both cases and controls were identified from the LHID2005 with records between January 1, 2000, and December 31, 2013. The groups were frequency matched for sex, age, urbanization level, and income.

Fig 1. Flow diagram of the study.

Fig 1

ICD-9-CM. International Classification of Diseases, Ninth Revision, Clinical Modification.

Exposure assessment

DM in both cases and controls was assessed on the basis of at least three outpatient claims or at least one inpatient claim of ICD-9 Code 250.xx. Other medical conditions potentially associated with acute epiglottitis, including asthma (ICD-9-CM code: 493.xx), chronic liver disease and cirrhosis (ICD-9-CM code: 571.xx), coronary artery disease (ICD-9-CM codes: 410–414), hypertension (ICD-9-CM codes: 401–405), and pneumonia and influenza (ICD-9-CM codes: 480–488), upper digestive tract cancer (ICD-9-CM codes: 141–151), autoimmune diseases (ICD-9-CM codes: 714.0, 720, 720.0, 710.0, 370.33, 710.2, 710.1), chronic obstructive pulmonary disease (COPD, ICD-9-CM codes: 490–496), alcohol dependence and abuse (ICD-9-CM codes: 303, 303.xx, 305.0, 305.0x), corrosive injury of upper digestive tract (ICD-9-CM codes: 947.0–947.3), and gastroesophageal reflux disease (GERD, ICD-9-CM codes: 530.11, 530.81,530.85) were also assessed from the claims data[11, 13, 15, 26, 27, 3337]. We included these comorbidities if they occurred either in the inpatient setting or in more than three ambulatory care claims. Comorbidities of each individual were all identified before the index date or matched index date, and each comorbidity was analyzed as a binomial variable.

In addition, adapted Diabetes Complications Severity Index (aDCSI) was computed to represent the presence of diabetes complications[38, 39]. The aDCSI includes following seven categories of diabetes complications: cardiovascular disease, nephropathy, retinopathy, peripheral vascular disease, cerebrovascular disease, neuropathy, and metabolic disease. Events were identified by using ICD-9-CM codes from both inpatient and outpatient records. Complications severity index was categorized into 2 or 3 levels (no abnormality = 0, some abnormality = 1, severe abnormality = 2), and neuropathy is the only complication with 2 levels (not present = 0, abnormal = 1). A total score of 0~13 was possible for the aDCSI score [40].

Statistical analysis

The distributional properties of continuous variables are presented as mean and standard deviation, and categorical variables are presented as frequency and percentage. We evaluated the distributions of sex, age, urbanization level of patient’s residence, insured amount, and comorbidities between cases and controls by using the chi-squared test. The prevalence of diabetes was the main outcome of interest of this study. To reduce potential confounders, a logistic regression analysis was performed to evaluate the risk of epiglottitis associated with DM and various comorbidities (after adjustment for age, sex, urbanization level, insured amount, and comorbidities). All analyses were performed using SAS version 9.4 (SAS Institute, Cary, NC), and statistical significance was set at a two-sided P value of < 0.05.

Results

Between 2000 and 2013, 2,393 newly coded patients with acute epiglottitis met the criteria for cases, and 9,572 individuals were matched as controls. Table 1 presents the intergroup demographic characteristics. No significant differences in sex, age, urbanization level, or income were observed between the groups because of frequency matching on these variables. The mean age for the total 11,965 patients was 33.6 years (standard deviation = 23.3 years). Half of the individuals were under 34 years old, and only 10.2% of the patients were over 65 years old. Among the 2,393 patients with acute epiglottitis, 180 (7.5%) had underlying DM, whereas 530 (5.5%) of the 9,572 controls had DM (p < .001). Most DM patients in both case and control groups were type 2 DM. Compared with the control group, the epiglottitis group had a higher incidence of asthma, chronic liver disease, coronary artery disease, and pneumonia and influenza, chronic obstructive pulmonary disease (COPD), autoimmune diseases, alcohol dependence and abuse, gastroesophageal reflux disease (GERD), and upper digestive tract cancer.

Table 1. Demographic characteristics and comorbid medical disorders of patients with epiglottitis and controls.

Variable Epiglottitis
(n = 2,393)
Controls
(n = 9,572)
P-value
n % n %
Sex 1.000
    Men 1233 51.5 4932 51.5
    Women 1160 48.5 4640 48.5
Age (years) 1.000
    <34 1196 50.0 4784 50.0
    35–49 531 22.2 2124 22.2
    50–64 421 17.6 1684 17.6
    ≥65 245 10.2 980 10.2
Monthly income (NTD) 1.000
    1–15840 312 13.0 1248 13.0
    15841–25000 593 24.8 2372 24.8
    ≥25001 507 21.2 2028 21.2
Urbanization level 1.000
    1(City) 694 29.0 2776 29.0
    2 1099 45.9 4396 45.9
    3 491 20.5 1964 20.5
    4 (Village) 109 4.6 436 4.6
Diabetes mellitus 180 7.5 530 5.5 <0.001
    Type 1 4 0.3 14 0.2 0.263
    Type 2 168 7.0 445 4.7 <0.001
Comorbidities
    Asthma 201 8.4 573 6.0 <0.001
    Chronic liver disease 203 8.5 665 7.0 0.010
    Coronary artery disease 174 7.3 580 6.1 0.029
    Hypertension 343 14.3 1249 13.1 0.098
    Pneumonia/ influenza 455 19.0 1225 12.8 <0.001
    COPD 361 15.1 1058 11.1 <0.001
    Alcohol dependence/abuse 12 0.5 23 0.2 0.034
    Corrosive injury of digestive tract 2 0.1 4 0.04 -
    GERD 63 2.6 130 1.4 <0.001
    Autoimmune diseases 54 2.3 131 1.4 0.002
    Upper digestive tract cancer 35 1.5 24 0.3 <0.001

Abbreviations: NTD, New Taiwan dollar. COPD indicates chronic obstructive pulmonary disease; GERD, gastroesophageal reflux disease.

Table 2 presents the results of the multivariate logistic regression analyses. After adjustment for age, sex, urbanization level, income, and comorbidities, results from the multivariable logistic regression analyses indicated that underlying DM was associated with acute epiglottitis (adjusted odds ratio [aOR] = 1.42, 95% confidence interval [CI] = 1.15–1.75, p = 0.004). Other comorbidities including pneumonia and influenza, COPD, autoimmune diseases, GERD, and upper digestive tract cancer also showed significant associations with acute epiglottitis. The subgroup analysis showed that the association between DM and epiglottitis remained significant for men (aOR = 1.57, 95% CI: 1.19–2.08, p = 0.002) but not for women (aOR = 1.23, 95% CI = 0.91–1.68, p = 0.181). Age-stratified analysis revealed remarkable associations between DM and epiglottitis among those aged 35–49 years (aOR = 2.12, 95% CI = 1.29–3.48, p = 0.003) and 50–64 years (aOR = 1.52, 95% CI = 1.10–2.09, p = 0.011).

Table 2. Multivariate logistic analyses of the association between acute epiglottitis and diabetes mellitus from 2000 to 2013 in Taiwan.

Variable Adjusted OR* 95% CI p-value
Diabetes mellitus
    No 1.00 Reference
    Yes 1.42 (1.15–1.75) 0.004
Comorbidities
    Asthma 0.96 (0.75–1.24) 0.769
    Chronic liver disease 1.18 (0.98–1.41) 0.081
    Coronary artery disease 1.04 (0.84–1.29) 0.715
    Hypertension 1.13 (0.95–1.36) 0.172
    Pneumonia and influenza 1.49 (1.31–1.69) <0.001
    COPD 1.31 (1.07–1.60) 0.008
    Alcohol dependence/abuse 1.30 (0.62–2.74) 0.491
    Corrosive injury of upper digestive tract 2.01 (0.36–11.14) 0.424
    GERD 1.73 (1.26–2.38) 0.001
    Autoimmune diseases 1.54 (1.10–2.14) 0.011
    Upper digestive tract cancer 5.38 (3.17–9.12) <0.001
Subgroup effects
Sex
    Men 1.57 (1.19–2.08) 0.002
    Women 1.23 (0.91–1.68) 0.181
Age (years)
    <34 0.50 (0.11–2.36) 0.379
    35–49 2.12 (1.29–3.48) 0.003
    50–64 1.52 (1.10–2.09) 0.011
    ≥65 1.25 (0.89–1.76) 0.192

Abbreviations: OR, odds ratio; CI, confidence interval

*The model was adjusted for sex, age, urbanization level, income, and comorbidities.

Table 3 lists the stratified analysis for the association between acute epiglottitis and DM with different definition of preexisting DM duration before the index date. After adjusting for the demographic factors and comorbidities, the association remained significant and constant when the underlying DM was diagnosed at least 3 months, 6 months, 1 year, and 3 years before the occurrence of acute epiglottitis (aOR = 1.28, 1.28, 1.27, 1.23; p = 0.023, 0.026, 0.032, and 0.035 respectively).

Table 3. Stratified analysis of the association between acute epiglottitis and DM with different definition of preexisting DM period before the index date.

DM period before
index date
Crude OR (95% CI) p-value Adjusted OR* (95% CI) p-value
    ≥ 3 months 1.44 (1.19–1.72) <0.001 1.28 (1.04–1.58) 0.023
    ≥ 6 months 1.44 (1.19–1.73) <0.001 1.28 (1.03–1.58) 0.026
    ≥ 1 year 1.44 (1.18–1.74) <0.001 1.27 (1.02–1.58) 0.032
    ≥ 3 years 1.36 (1.08–1.70) 0.008 1.23 (1.08–1.46) 0.035

Abbreviations: OR, Odds ratio; CI, confidence interval; DM, diabetes mellitus

*The model was adjusted by sex, age, urbanization level, income, and comorbidities.

Table 4 lists the Odds ratios for acute epiglottitis with regards to anti-diabetic agents and diabetes related complications among diabetic patients in this study setting. Compared to the diabetic patients who did not receive anti-diabetic agents before the index date, the adjusted OR of epiglottitis was 1.02 (95% CI = 0.63–1.65. p = 0.929) for those who did take anti-diabetic agents before the index date. Use of anti-diabetic agents was not significantly associated with the development of acute epiglottitis among diabetic patients, including oral hypoglycemic agents (OHA) alone (aOR = 0.88, 95% CI = 0.53–1.46, p = 0.616), and OHA combined with insulin/ insulin alone (aOR = 1.30, 95% CI = 0.76–2.22, p = 0.339). The association between presence of diabetes complications and the occurrence of acute epiglottitis was also not significant among diabetic patients in this study setting (aOR = 0.86, 95% CI = 0.59–1.26, p = 0.439).

Table 4. Odds ratios for acute epiglottitis with regards to anti-diabetic agents and diabetes related complications among DM patients.

Acute epiglottitis
Yes (n = 180) No (n = 530) Multivariate Model
Variable n % n % P-value* aOR 95% CI P-valuea
Anti-diabetic Agents 0.045
    No 31 17.2 89 16.8 1.00 (reference)
    Yes 149 82.8 441 83.2 1.02 (0.63–1.65) 0.929
        OHA alone 76 42.2 276 52.1 0.88 (0.53–1.46) 0.616
        Insulinb 73 40.6 165 31.1 1.30 (0.76–2.22) 0.339
aDCSI score 0.605
    aDCSI = 0 93 51.7 262 49.4 1.00 (reference)
    aDCSI≥1 87 48.3 268 50.6 0.86 (0.59–1.26) 0.439

Abbreviations: aOR, adjusted odds ratio; CI, confidence interval; OHA, oral hypoglycemic agents; DM, diabetes mellitus; aDCSI, adapted Diabetes Complications Severity Index

†Data were adjusted for sex, age, urbanization level, income, and comorbidities.

*p value of chi-squared test.

aP-value of multivariate logistic analyses

b include OHA combined with insulin and insulin alone

Discussion

To the best of our knowledge, this population-based case–control study is the first to elucidate the quantitative relationship between DM and acute epiglottitis. By using the nationwide population-based database, we overcame the difficulty of recruiting patients with a disease of low incidence and identified adequate numbers of epiglottitis cases with minimal selection bias, and this is because all health care services are covered by the NHI program in Taiwan. Based on the power of the large sample size, our study provides robust evidence for the higher odds ratio of underlying DM in patients with epiglottitis than in those without. To consider the effects of potential confounders, we used multivariate logistic regression after adjustment for comorbidities, including asthma, chronic liver disease, coronary artery disease, hypertension, and pneumonia/influenza, upper digestive tract cancer, autoimmune diseases, COPD, alcohol dependence and abuse, corrosive injury of upper digestive tract, and GERD, to compare the outcomes of the case and control groups. The association between DM and acute epiglottitis remained significant even after adjustment for a variety of comorbidities, and remained constant with different preexisting DM duration before the index date. Based on the results of this case control study, several comorbidities, including pneumonia and influenza, COPD, GERD, autoimmune diseases, and upper digestive tract cancer were also associated with the development of acute epiglottitis (Table 2). Therefore, it must be cautious in the interpretation of these results: although preexisting DM is a significant factor associated with the development of acute epiglottitis, other factors can play a role in contributing to the acute epiglottitis due to its multi-factorial characteristics. Subgroup analyses elucidated the significant associations between DM and acute epiglottitis in men and patients aged 35–64 years. By analyzing the use of anti-diabetic agents and aDCSI among diabetic patients in this study setting, we tried to correlate the severity of DM with occurrence of acute epiglottis. We found that among diabetic patients, taking anti-diabetic agents or not was not significantly associated with the development of acute epiglottitis. Similarly, patients with diabetes-related complications were not associated with increased occurrence of acute epiglottitis as compared to those without complication. These findings suggested the importance of blood glucose control and active management of diabetes complications regarding the occurrence of acute epiglottitis. In the future, prospective clinical trials are mandatory to elucidate the causal relationship between severity of DM and the development of acute epiglottitis.

Numerous studies have demonstrated epiglottitis to occur predominantly in men (54%–88%).[1, 15, 22, 30, 35, 36, 41, 42] In the present study, the subgroup analysis showed a significant association between DM and epiglottitis in men but not in women, supporting the male-predominant incidence in epiglottitis patients with DM as previously reported[23]; however, the underlying mechanism remains unclear. Studies revealed that men are more susceptible than women to most kinds of respiratory tract infections in adults and children[43].The role of androgens in the regulation of the immune system and disease resistance genes may contribute to the observed sex differences in the association between DM and epiglottitis[4346]. Lifestyle, behavioral, and socioeconomic differences between men and women may also explain the observed findings[43].

The present study identified a significant association between DM and epiglottitis in patients aged 35–64 years, perhaps because patients in this age group tend to be relatively healthy with fewer comorbidities. Notably, a large number of patients with epiglottitis were younger than 34 years in this study (Table 2). However, patients with epiglottis in this age group had DM less frequently, and no statistical significance was observed. In patients aged older than 65 years, the weakened immune responses by aging[47] and increased underlying comorbidities may further attenuate the influence of DM on the risk of developing epiglottitis.

Studies have revealed that 3.5%–26.6% of patients with epiglottis have comorbid DM.[9, 12, 15, 23, 25, 27, 30] However, this association was never verified due to the disease rarity and the lack of control subjects for testing the corresponding statistical significance. In this study, we identified a significant association between DM and epiglottitis, which may be explained by the altered immunity from depressed polymorphonuclear leukocyte function[4850]and decreased leukocyte adherence and phagocytic activity[51, 52] that make the patient more susceptible to acute epiglottitis. In addition, the most frequent respiratory tract infection associated with DM is caused by S. pneumoniae[53]—the most important bacterial etiology of acute epiglottitis in both adults[54] and vaccinated children.[19, 36] Therefore, we assume that the common respiratory infection in patients with DM and in epiglottitis shared the same pathogen, which may lead to the increased risk of epiglottitis among patients with DM and must be corroborated by future investigations. These findings suggest that underlying DM may play a role in the pathogenesis or pathophysiology of acute epiglottitis, which makes patients with DM more susceptible to acute epiglottitis.

Previous study indicated that the severity of epiglottitis is higher in DM patients due to the increased two days mortality and airway intervention rates.[11] A recent study reported that the outcome of critical epiglottitis patients was favorable if early respiratory tract protection could be adequately performed.[55] Therefore, identifying the risk factors for DM patients with epiglottitis who will probably require airway intervention is imperative in clinical decision-making to avoid fatal complications. Factors associated with an increased risk of airway obstruction in patients with epiglottitis include DM, stridor, muffled voice, hypoxia, drooling, rapid clinical course, a high pulse rate, and an epiglottic cyst or abscess.[9, 11, 21, 22, 30] Katori et al. analyzed 96 adult patients with epiglottitis and proposed that, under flexible laryngoscopy, severely swollen epiglottis and arytenoid/aryepiglottic folds with less than half of the posterior vocal folds visible were correlated with the requirement for airway intervention.[30] Flexible endoscopy enables early detection of acute epiglottitis and identifies the need for airway intervention. Those with precarious symptoms/signs and endoscopic findings should be observed intensively, or the airway should be secured immediately.[36] With appropriate and timely treatment, the prognosis of acute epiglottitis is usually favorable.[12, 15]

The major strength of this study is its large population size. To investigate the significance of underlying DM in the pathogenesis of acute epiglottitis, conducting a single-center study with a sufficient sample size and adequate follow-up time may not be feasible. The nationwide insurance claims database enabled us to investigate the risk factors for epiglottitis with a low selection bias. The statistical power and the precision of risk appraisal were also increased by the size of the study population. The NHIRD has been reported to be a valid source for population-based research with regular examinations of the accuracy of medical coding and the clinical records.[56] However, our study has limitations. First, innate information bias may exist because all diagnoses of the clinical conditions of interest and other comorbidities were based on ICD-9-CM codes in the claims records. Second, detailed information regarding the severity of DM, such as blood glucose levels, HbA1c levels, or dosages of anti-diabetic drugs, and epiglottitis related test/images were not available in the claims data. Therefore, the relationship between the severity and treatment outcomes of acute epiglottitis and the level of DM control could not be evaluated. Third, some suspected contributing risk factors for epiglottitis were unavailable from the insurance data, such as the personal history of alcohol and cigarette consumption[11, 12, 37]—a potential confounder that could not be adjusted for. Finally, we did not explore the underlying mechanism of the association between DM and acute epiglottitis. More research is warranted to validate our findings and to assess the association between the level of DM control and the occurrence and severity of acute epiglottitis.

In conclusion, the findings of this population-based case–control study suggest that DM is one of the possible factors associated with the development of acute epiglottitis. To achieve an early diagnosis and avert life-threatening complications of acute epiglottitis, physicians should always be aware of the symptoms/signs of acute epiglottitis in DM patients, particularly in men aged 35–64 years.

Acknowledgments

The authors thank the Health Information and Epidemiology Laboratory (CLRPG6G0041) and Center of Excellence for Chang Gung Research Datalink (CORPG6D0163) for the comments and assistance in data analysis. This manuscript was edited by Wallace Academic Editing.

Data Availability

The data underlying this study is from the National Health Insurance Research Database (NHIRD), which has been transferred to the Health and Welfare Data Science Center (HWDC). Interested researchers can obtain the data through formal application to the HWDC, Department of Statistics, Ministry of Health and Welfare, Taiwan (http://dep.mohw.gov.tw/DOS/np-2497-113.html).

Funding Statement

The authors received no specific funding for this work.

References

  • 1.Solomon P, Weisbrod M, Irish JC, Gullane PJ. Adult epiglottitis: the Toronto Hospital experience. J Otolaryngol. 1998;27(6):332–6. . [PubMed] [Google Scholar]
  • 2.Guldfred LA, Lyhne D, Becker BC. Acute epiglottitis: epidemiology, clinical presentation, management and outcome. J Laryngol Otol. 2008;122(8):818–23. doi: 10.1017/S0022215107000473 . [DOI] [PubMed] [Google Scholar]
  • 3.Harris C, Sharkey L, Koshy G, Simler N, Karas JA. A rare case of acute epiglottitis due to Staphylococcus aureus in an adult. Infect Dis Rep. 2012;4(1):e3 doi: 10.4081/idr.2012.e3 ; PubMed Central PMCID: PMCPMC3892645. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.La Scolea LJ Jr., Rosales SV, Welliver RC, Ogra PL. Mechanisms underlying the development of meningitis or epiglottitis in children after Haemophilus influenzae type b bacteremia. J Infect Dis. 1985;151(6):1162–5. . [DOI] [PubMed] [Google Scholar]
  • 5.Tateya I, Fujiki N, Kurata K, Hasegawa S, Kojima H. Descending necrotizing mediastinitis following acute epiglottitis: a case report. Eur Arch Otorhinolaryngol. 2003;260(3):128–30. doi: 10.1007/s00405-002-0528-0 . [DOI] [PubMed] [Google Scholar]
  • 6.Chalmers C. Necrotising fasciitis complicating Haemophilus influenzae type b epiglottitis in an adult. J Laryngol Otol. 2010;124(7):807–9. doi: 10.1017/S0022215109992076 . [DOI] [PubMed] [Google Scholar]
  • 7.Chong WH, Woodhead MA, Millard FJ. Mediastinitis and bilateral thoracic empyemas complicating adult epiglottitis. Thorax. 1990;45(6):491–2. ; PubMed Central PMCID: PMCPMC462542. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Mashimoto H, Suyama N, Araki J, Asai S, Koga H, Kohno S, et al. [A case of mediastinitis and bilateral pyothorax, following acute epiglottitis with concurrent Aspergillus infection]. Kansenshogaku Zasshi. 1992;66(5):648–52. . [DOI] [PubMed] [Google Scholar]
  • 9.Yoon TM, Choi JO, Lim SC, Lee JK. The incidence of epiglottic cysts in a cohort of adults with acute epiglottitis. Clin Otolaryngol. 2010;35(1):18–24. doi: 10.1111/j.1749-4486.2009.02069.x . [DOI] [PubMed] [Google Scholar]
  • 10.Gagnon R, Bedard PM, Cote L, Lavoie A, Hebert J. Recurrent acute epiglottitis in adults: defective antibody response. Ann Allergy Asthma Immunol. 2002;88(5):513–7. doi: 10.1016/S1081-1206(10)62391-5 . [DOI] [PubMed] [Google Scholar]
  • 11.Suzuki S, Yasunaga H, Matsui H, Fushimi K, Yamasoba T. Factors associated with severe epiglottitis in adults: Analysis of a Japanese inpatient database. Laryngoscope. 2015;125(9):2072–8. doi: 10.1002/lary.25114 . [DOI] [PubMed] [Google Scholar]
  • 12.Mayo-Smith MF, Spinale JW, Donskey CJ, Yukawa M, Li RH, Schiffman FJ. Acute epiglottitis. An 18-year experience in Rhode Island. Chest. 1995;108(6):1640–7. . [DOI] [PubMed] [Google Scholar]
  • 13.Kudchadkar SR, Hamrick JT, Mai CL, Berkowitz I, Tunkel D. The heat is on … thermal epiglottitis as a late presentation of airway steam injury. J Emerg Med. 2014;46(2):e43–6. doi: 10.1016/j.jemermed.2013.08.033 . [DOI] [PubMed] [Google Scholar]
  • 14.Price IM, Preyra I, Fernandes CM, Woolfrey K, Worster A. Adult epiglottitis: a five-year retrospective chart review in a major urban centre. CJEM. 2005;7(6):387–90. . [PubMed] [Google Scholar]
  • 15.Bizaki AJ, Numminen J, Vasama JP, Laranne J, Rautiainen M. Acute supraglottitis in adults in Finland: review and analysis of 308 cases. Laryngoscope. 2011;121(10):2107–13. doi: 10.1002/lary.22147 . [DOI] [PubMed] [Google Scholar]
  • 16.Alho OP, Jokinen K, Pirila T, Ilo A, Oja H. Acute epiglottitis and infant conjugate Haemophilus influenzae type b vaccination in northern Finland. Arch Otolaryngol Head Neck Surg. 1995;121(8):898–902. . [DOI] [PubMed] [Google Scholar]
  • 17.Garpenholt O, Hugosson S, Fredlund H, Bodin L, Olcen P. Epiglottitis in Sweden before and after introduction of vaccination against Haemophilus influenzae type b. Pediatr Infect Dis J. 1999;18(6):490–3. . [DOI] [PubMed] [Google Scholar]
  • 18.McEwan J, Giridharan W, Clarke RW, Shears P. Paediatric acute epiglottitis: not a disappearing entity. Int J Pediatr Otorhinolaryngol. 2003;67(4):317–21. . [DOI] [PubMed] [Google Scholar]
  • 19.Midwinter KI, Hodgson D, Yardley M. Paediatric epiglottitis: the influence of the Haemophilus influenzae b vaccine, a ten-year review in the Sheffield region. Clin Otolaryngol Allied Sci. 1999;24(5):447–8. . [DOI] [PubMed] [Google Scholar]
  • 20.Murphy TV, White KE, Pastor P, Gabriel L, Medley F, Granoff DM, et al. Declining incidence of Haemophilus influenzae type b disease since introduction of vaccination. JAMA. 1993;269(2):246–8. . [PubMed] [Google Scholar]
  • 21.Berger G, Landau T, Berger S, Finkelstein Y, Bernheim J, Ophir D. The rising incidence of adult acute epiglottitis and epiglottic abscess. Am J Otolaryngol. 2003;24(6):374–83. . [DOI] [PubMed] [Google Scholar]
  • 22.Frantz TD, Rasgon BM, Quesenberry CP Jr. Acute epiglottitis in adults. Analysis of 129 cases. JAMA. 1994;272(17):1358–60. . [PubMed] [Google Scholar]
  • 23.Shah RK, Stocks C. Epiglottitis in the United States: national trends, variances, prognosis, and management. Laryngoscope. 2010;120(6):1256–62. doi: 10.1002/lary.20921 . [DOI] [PubMed] [Google Scholar]
  • 24.Shah RK, Roberson DW, Jones DT. Epiglottitis in the Hemophilus influenzae type B vaccine era: changing trends. Laryngoscope. 2004;114(3):557–60. doi: 10.1097/00005537-200403000-00031 . [DOI] [PubMed] [Google Scholar]
  • 25.Ng HL, Sin LM, Li MF, Que TL, Anandaciva S. Acute epiglottitis in adults: a retrospective review of 106 patients in Hong Kong. Emerg Med J. 2008;25(5):253–5. doi: 10.1136/emj.2007.050153 . [DOI] [PubMed] [Google Scholar]
  • 26.Cheung CS, Man SY, Graham CA, Mak PS, Cheung PS, Chan BC, et al. Adult epiglottitis: 6 years experience in a university teaching hospital in Hong Kong. Eur J Emerg Med. 2009;16(4):221–6. doi: 10.1097/MEJ.0b013e328320ad2f . [DOI] [PubMed] [Google Scholar]
  • 27.Chang YL, Lo SH, Wang PC, Shu YH. Adult acute epiglottitis: experiences in a Taiwanese setting. Otolaryngol Head Neck Surg. 2005;132(5):689–93. doi: 10.1016/j.otohns.2005.01.011 . [DOI] [PubMed] [Google Scholar]
  • 28.Ge R, Mao Y, Zhang XL, Zheng SQ. Cervical necrotizing fasciitis and a descending mediastinal abscess caused by acute epiglottitis with diabetes mellitus: a life-threatening complication. Diabetes Res Clin Pract. 2012;95(2):e31–3. doi: 10.1016/j.diabres.2011.10.010 . [DOI] [PubMed] [Google Scholar]
  • 29.Richardson DK, Helderman T, Lovett PB. Meningococcal epiglottitis in a diabetic adult patient: a case report. J Emerg Med. 2012;43(4):634–6. doi: 10.1016/j.jemermed.2010.05.025 . [DOI] [PubMed] [Google Scholar]
  • 30.Katori H, Tsukuda M. Acute epiglottitis: analysis of factors associated with airway intervention. J Laryngol Otol. 2005;119(12):967–72. doi: 10.1258/002221505775010823 . [DOI] [PubMed] [Google Scholar]
  • 31.Chang GH, Tsai MS, Liu CY, Lin MH, Tsai YT, Hsu CM, et al. End-stage renal disease: a risk factor of deep neck infection—a nationwide follow-up study in Taiwan. BMC Infect Dis. 2017;17(1):424 doi: 10.1186/s12879-017-2531-5 ; PubMed Central PMCID: PMCPMC5470218. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Yang YH, Chen WC, Tsan YT, Chen MJ, Shih WT, Tsai YH, et al. Statin use and the risk of cirrhosis development in patients with hepatitis C virus infection. J Hepatol. 2015;63(5):1111–7. doi: 10.1016/j.jhep.2015.07.006 . [DOI] [PubMed] [Google Scholar]
  • 33.Hsu WT, Lai CC, Wang YH, Tseng PH, Wang K, Wang CY, et al. Risk of pneumonia in patients with gastroesophageal reflux disease: A population-based cohort study. PLoS One. 2017;12(8):e0183808 doi: 10.1371/journal.pone.0183808 ; PubMed Central PMCID: PMCPMC5570340. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Hsiao YH, Chen YT, Tseng CM, Wu LA, Lin WC, Su VY, et al. Sleep disorders and increased risk of autoimmune diseases in individuals without sleep apnea. Sleep. 2015;38(4):581–6. doi: 10.5665/sleep.4574 ; PubMed Central PMCID: PMCPMC4355897. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Berg S, Trollfors B, Nylen O, Hugosson S, Prellner K, Carenfelt C. Incidence, aetiology, and prognosis of acute epiglottitis in children and adults in Sweden. Scand J Infect Dis. 1996;28(3):261–4. . [DOI] [PubMed] [Google Scholar]
  • 36.Briem B, Thorvardsson O, Petersen H. Acute epiglottitis in Iceland 1983–2005. Auris Nasus Larynx. 2009;36(1):46–52. doi: 10.1016/j.anl.2008.03.012 . [DOI] [PubMed] [Google Scholar]
  • 37.Hebert PC, Ducic Y, Boisvert D, Lamothe A. Adult epiglottitis in a Canadian setting. Laryngoscope. 1998;108(1 Pt 1):64–9. . [DOI] [PubMed] [Google Scholar]
  • 38.Chang HY, Weiner JP, Richards TM, Bleich SN, Segal JB. Validating the adapted Diabetes Complications Severity Index in claims data. Am J Manag Care. 2012;18(11):721–6. . [PubMed] [Google Scholar]
  • 39.Chen HL, Hsiao FY. Risk of hospitalization and healthcare cost associated with Diabetes Complication Severity Index in Taiwan's National Health Insurance Research Database. J Diabetes Complications. 2014;28(5):612–6. doi: 10.1016/j.jdiacomp.2014.05.011 . [DOI] [PubMed] [Google Scholar]
  • 40.Young BA, Lin E, Von Korff M, Simon G, Ciechanowski P, Ludman EJ, et al. Diabetes complications severity index and risk of mortality, hospitalization, and healthcare utilization. Am J Manag Care. 2008;14(1):15–23. ; PubMed Central PMCID: PMCPMC3810070. [PMC free article] [PubMed] [Google Scholar]
  • 41.Wurtele P. Acute epiglottitis in children and adults: a large-scale incidence study. Otolaryngol Head Neck Surg. 1990;103(6):902–8. doi: 10.1177/019459989010300603 . [DOI] [PubMed] [Google Scholar]
  • 42.Carenfelt C, Sobin A. Acute infectious epiglottitis in children and adults: annual incidence and mortality. Clin Otolaryngol Allied Sci. 1989;14(6):489–93. . [DOI] [PubMed] [Google Scholar]
  • 43.Falagas ME, Mourtzoukou EG, Vardakas KZ. Sex differences in the incidence and severity of respiratory tract infections. Respir Med. 2007;101(9):1845–63. doi: 10.1016/j.rmed.2007.04.011 . [DOI] [PubMed] [Google Scholar]
  • 44.Klein SL, Flanagan KL. Sex differences in immune responses. Nat Rev Immunol. 2016;16(10):626–38. doi: 10.1038/nri.2016.90 . [DOI] [PubMed] [Google Scholar]
  • 45.Fischer J, Jung N, Robinson N, Lehmann C. Sex differences in immune responses to infectious diseases. Infection. 2015;43(4):399–403. doi: 10.1007/s15010-015-0791-9 . [DOI] [PubMed] [Google Scholar]
  • 46.Klein SL. The effects of hormones on sex differences in infection: from genes to behavior. Neurosci Biobehav Rev. 2000;24(6):627–38. . [DOI] [PubMed] [Google Scholar]
  • 47.Wu D, Meydani SN. Age-associated changes in immune and inflammatory responses: impact of vitamin E intervention. J Leukoc Biol. 2008;84(4):900–14. doi: 10.1189/jlb.0108023 ; PubMed Central PMCID: PMCPMC2538592. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Geerlings SE, Hoepelman AI. Immune dysfunction in patients with diabetes mellitus (DM). FEMS Immunol Med Microbiol. 1999;26(3–4):259–65. . [DOI] [PubMed] [Google Scholar]
  • 49.Valerius NH, Eff C, Hansen NE, Karle H, Nerup J, Soeberg B, et al. Neutrophil and lymphocyte function in patients with diabetes mellitus. Acta Med Scand. 1982;211(6):463–7. . [DOI] [PubMed] [Google Scholar]
  • 50.Gallacher SJ, Thomson G, Fraser WD, Fisher BM, Gemmell CG, MacCuish AC. Neutrophil bactericidal function in diabetes mellitus: evidence for association with blood glucose control. Diabet Med. 1995;12(10):916–20. . [DOI] [PubMed] [Google Scholar]
  • 51.Vardakas KZ, Siempos II, Falagas ME. Diabetes mellitus as a risk factor for nosocomial pneumonia and associated mortality. Diabet Med. 2007;24(10):1168–71. doi: 10.1111/j.1464-5491.2007.02234.x . [DOI] [PubMed] [Google Scholar]
  • 52.Delamaire M, Maugendre D, Moreno M, Le Goff MC, Allannic H, Genetet B. Impaired leucocyte functions in diabetic patients. Diabet Med. 1997;14(1):29–34. doi: 10.1002/(SICI)1096-9136(199701)14:1<29::AID-DIA300>3.0.CO;2-V . [DOI] [PubMed] [Google Scholar]
  • 53.Falguera M, Pifarre R, Martin A, Sheikh A, Moreno A. Etiology and outcome of community-acquired pneumonia in patients with diabetes mellitus. Chest. 2005;128(5):3233–9. doi: 10.1378/chest.128.5.3233 . [DOI] [PubMed] [Google Scholar]
  • 54.Isakson M, Hugosson S. Acute epiglottitis: epidemiology and Streptococcus pneumoniae serotype distribution in adults. J Laryngol Otol. 2011;125(4):390–3. doi: 10.1017/S0022215110002446 . [DOI] [PubMed] [Google Scholar]
  • 55.Chroboczek T, Cour M, Hernu R, Baudry T, Bohe J, Piriou V, et al. Long-term outcome of critically ill adult patients with acute epiglottitis. PLoS One. 2015;10(5):e0125736 doi: 10.1371/journal.pone.0125736 ; PubMed Central PMCID: PMCPMC4422676. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Cheng CL, Lee CH, Chen PS, Li YH, Lin SJ, Yang YH. Validation of acute myocardial infarction cases in the national health insurance research database in taiwan. J Epidemiol. 2014;24(6):500–7. PubMed doi: 10.2188/jea.JE20140076 ; PubMed Central PMCID: PMCPMC4213225. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The data underlying this study is from the National Health Insurance Research Database (NHIRD), which has been transferred to the Health and Welfare Data Science Center (HWDC). Interested researchers can obtain the data through formal application to the HWDC, Department of Statistics, Ministry of Health and Welfare, Taiwan (http://dep.mohw.gov.tw/DOS/np-2497-113.html).


Articles from PLoS ONE are provided here courtesy of PLOS

RESOURCES