Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Tonsillectomy and the Risk for Deep Neck Infection—A Nationwide Cohort Study

  • Ying-Piao Wang,

    Affiliations Department of Otolaryngology—Head and Neck Surgery, Mackay Memorial Hospital, #92, Sec. 2, Zhongshan N. Rd., Zhongshan Dist., Taipei 104, Taiwan, Institute of Public Health and Community Medicine Research Center, National Yang-Ming University, #155, Sec. 2, Linoon Street, Pei-Tou Dist., Taipei 112, Taiwan, Department of Audiology and Speech Language Pathology and School of Medicine, Mackay Medical College, #46, Sec. 3, Zhongzheng Rd., Sanzhi Dist., New Taipei City 252, Taiwan

  • Mao-Che Wang,

    Affiliations Institute of Public Health and Community Medicine Research Center, National Yang-Ming University, #155, Sec. 2, Linoon Street, Pei-Tou Dist., Taipei 112, Taiwan, Department of Otolaryngology—Head and Neck Surgery, Taipei Veterans General Hospital, #201, Sec. 2 and School of Medicine, National Yang-Ming University, #155, Sec.2, Linoon Street, Pei-Tou Dist., Taipei 112, Taiwan

  • Hung-Ching Lin,

    Affiliations Department of Otolaryngology—Head and Neck Surgery, Mackay Memorial Hospital, #92, Sec. 2, Zhongshan N. Rd., Zhongshan Dist., Taipei 104, Taiwan, Department of Audiology and Speech Language Pathology and School of Medicine, Mackay Medical College, #46, Sec. 3, Zhongzheng Rd., Sanzhi Dist., New Taipei City 252, Taiwan

  • Kuo-Sheng Lee,

    Affiliations Department of Otolaryngology—Head and Neck Surgery, Mackay Memorial Hospital, #92, Sec. 2, Zhongshan N. Rd., Zhongshan Dist., Taipei 104, Taiwan, Department of Audiology and Speech Language Pathology and School of Medicine, Mackay Medical College, #46, Sec. 3, Zhongzheng Rd., Sanzhi Dist., New Taipei City 252, Taiwan

  • Pesus Chou

    pschou@ym.edu.tw

    Affiliation Institute of Public Health and Community Medicine Research Center, National Yang-Ming University, #155, Sec. 2, Linoon Street, Pei-Tou Dist., Taipei 112, Taiwan

Tonsillectomy and the Risk for Deep Neck Infection—A Nationwide Cohort Study

  • Ying-Piao Wang, 
  • Mao-Che Wang, 
  • Hung-Ching Lin, 
  • Kuo-Sheng Lee, 
  • Pesus Chou
PLOS
x

Abstract

Background

Although the tonsils contribute to first line immunity against foreign pathogens in the upper aero-digestive tract, the association of tonsillectomy with the risk of deep neck infection remains unclear. The aim of this study was to assess the incidence rate and risk of deep neck infection among patients who had undergone a tonsillectomy.

Methods

This retrospective cohort study evaluated all patients who had undergone tonsillectomy between 2001 and 2009 as identified from the Taiwan National Health Insurance Research Database. For each post-tonsillectomy patient, 10 age-, sex-, and index date-matched controls without a history of tonsillectomy were randomly selected. Cox Proportional hazard model and propensity score model were performed to evaluate the association between tonsillectomy and deep neck infection after adjusting for demographic and clinical data.

Results

There were 34 (71.6 cases per 100,000 person-years) and 174 (36.6 cases per 100,000 person-years) patients that developed deep neck infection in the tonsillectomized and comparison cohorts, respectively. After adjusting for covariates, patients who had undergone a tonsillectomy had a 1.71-fold greater risk of deep neck infection by both Cox proportional hazard model (95% confidence interval, 1.13-2.59) and propensity score model (95% confidence interval, 1.10-2.66). This association was not altered regardless of the indication for tonsillectomy (i.e. chronic/recurrent tonsillitis or sleep apnea/hypertrophy of tonsil) (p = 0.9797).

Conclusions

Based on our review of a nationwide cohort study we identified that the risk of deep neck infection is significantly increased among patients who have undergone a tonsillectomy. Additional research is needed to explore the possible mechanisms behind these findings.

Introduction

Tonsillectomy is one of the most common surgical procedures throughout the world, especially for children. The surgical rates vary considerably among different countries, ranging from 1.9 per 1000 children in Canada to 11.8 per 1000 children in Northern Ireland in 1998 [1]. In the United States, a recent study revealed that the tonsillectomy rate is 0.80 per 1000 children and 6.87 per 1000 children for combined tonsillectomy and adenoidectomy, respectively, in a national survey [2]. The Centers for disease Control (CDC) reported that 418000 patients underwent tonsillectomy in the United States, 1996. In total, 68.7% (287000/418000) of the patients were children less than 15 years old[3]. Most of these patients have chronic/recurrent throat infections, sleep-disordered breathing, or recurrent infection with modifying factors, such as peritonsillar abscess [4,5]. The indications for pediatric tonsillectomy have shifted from infection to upper airway obstruction over the past several decades, whereas chronic/recurrent infection remains the most common indication for adult tonsillectomy [6,7].

The tonsils are parts of the Waldeyer’s ring and serve as the first line of defense against inhaled or ingested foreign pathogens, such as bacteria and viruses [810]. With the uptake of antigens by M-cells and dendritic cells in the crypt epithelium, both humoral and cellular immunity is initiated, ultimately giving rise to the generation and migration of antigen-specific memory and mainly polymeric IgA-expressing B-cells to the upper airway mucosa and salivary glands [11,12]. However, the impact of a tonsillectomy on the immune system is still an area of debate. Some studies have found that a tonsillectomy negatively affects the immune system in terms of the cellular and/or humoral immunity [1315]. Zielnik-Jurkiewicz B et al demonstrated that in comparison to control healthy children, adenotonsillectomy candidates with hypertrophy of adenoids and tonsils have increased levels of humoral and cellular immunity parameters. Shortly after the surgery there was a significant reduction in these values, however following 6 months values returned to normal.[16]. Kaygusuz I et al. revealed that a tonsillectomy did not compromise humoral and cellular immunity both in short-term (1 month) and long-term (54 months) results [17]. The heterogeneity and limited numbers of the studies warrants more comprehensive investigations to draw more definitive conclusions. Despite studies of the humoral/cellular immune parameters mentioned above, there have only been a limited number of studies addressing long-term consequences after tonsillectomy. Whether the removal of the tonsils increases susceptibility to aero-digestive tract related infections, such as deep neck infections remains unanswered and is worth examining.

Deep neck infections (DNIs) are serious infectious diseases in the complex deep cervical fascia. The primary sources of DNIs arise from an infection focus of the tonsils, teeth, salivary glands, deep neck lymph nodes, or malignancy, and then progress to an abscess of the deep neck spaces. Tonsillar infection is an important source such that it can be hypothesized to result in the alteration of the immune response in the aero-digestive tract and to potentially increase susceptibility to deep neck infections. In a previous case-control study, patients with retropharyngeal and parapharyngeal abscess are associated with a history of adenotonsillectomy [18]. This nationwide cohort study aimed to investigate the risk of DNI among tonsillectomized patients and to determine whether the removal of tonsils increases susceptibility to deep neck infections.

Materials and Methods

Study design and database

This retrospective, nationwide cohort study used data from the Taiwan National Health Insurance Claims database. The National Health Insurance (NHI) program was launched in March 1995 and covered over 98% of the population and medical institutions in Taiwan by the time of the study [19]. The related electronic files contained details regarding the health care services provided for each patient, including demographic characteristics, complete out-patient visits, hospital admissions, 3–5 diagnoses coded under the International Classification of Diseases, Ninth Revision, prescriptions, and clinical orders(such as surgery) of participants and utilities. The Institutional Review Board (IRB) of Mackay Memorial Hospital approved this study (12MMHIS129). The IRB waived the need for informed consent from the patients because the data set used in this study consists of unidentified, secondary nationwide data.

Study population and control group

All subjects who had undergone a tonsillectomy between 2001 and 2009 were identified from the entire population in the NHI program in Taiwan. Patients with adenotonsillectomy were excluded from this study. Claims data from both the out-patient and in-patient database were studied. All ambulatory and in-patient claims data, details of in-patient, and ambulatory orders and registry files from 2000 to 2009 were used in the research. The index date was defined as the date of performing the tonsillectomy.

Patients with abnormal or inconsequential registry data, or missing data; with treatment of tonsillar cancer; with other head and neck cancers; or with a DNI before the index date, were excluded. For each tonsillectomy case, 10 age-, sex-, and index date-matched controls without tonsillectomy were randomly selected from the longitudinal Health Insurance Database 2000 (from 1996 to 2009), a representative data subset of the National Health Insurance Research Database that contained all the claims data for one million beneficiaries (4.34% of the entire population). The index date for the controls was the date of out-patient visit that matched the index date of the tonsillectomy subjects.

Outcome definition and independent variables

Each subject was followed-up to determine the incidence of DNI until the end of 2009. Censor days were determined from the index date until the date when the patient was defined as having DNI, death, or the last of coverage by the NHI program for those who did not have DNI. DNI was defined as patients with ICD-9-CM codes 478.22 (parapharyngeal abscess), 478.24 (retropharyngeal abscess), 682.11 (cellulitis and abscess of neck), 528.3 (cellulitis and abscess of oral soft tissue) and 475 (peritonsillar abscess). Information regarding demographics, prior tonsillitis in the preceding year, and co-morbidities were obtained from the claims data of each individual. To determine a history of prior tonsillitis, the number of out-patient visits for acute tonsillitis in the preceding year before subject’s index date was categorized into mutually exclusive categories: 0, 1–4, and ≥5 visits.

Ambulatory and in-patient claims data were searched for the subject’s co-morbidities.Co-morbidity was defined as positive if the patient had more than three outpatient visits or one hospitalization claim for the specific disease a year before the index date. Co-morbidities included diabetes mellitus (ICD-9-CM codes 250.00–250.90), hypertension (ICD-9-CM codes 401–405), cardiovascular disorder (ICD-9-CM codes 410–414), chronic kidney disease (ICD-9-CM codes 581–583, 585,586), chronic liver disease (ICD-9-CM codes 571), cancer (ICD-9-CM codes (140–203) and HIV infection (ICD-9-CM codes 042–044). Each co-morbid disease was analyzed as a binominal variable.

Statistical analyses

The SAS statistical package (version 9.3; SAS Institute, Inc., Cary, N.C.) was used for all analysis. Significance was set at a two-sided p<0.05. Descriptive statistics were analyzed using Pearson’s chi-square test in the two cohorts. Poisson regression was used to compare the risk of DNI between the tonsillectomy cohort and the control cohort by estimating the incidence rate ratio. Kaplan-Meier was used to estimate the DNI- free survival rate in the two cohorts, while the log rank test was used to test the difference between the curves. Cox proportional hazard model was used to estimate the adjusted HRs (aHRs) for developing DNI after adjusting for numerous confounding factors. The 95% confidence intervals (CIs) of the adjusted hazard ratios were calculated.

The propensity score model was used as additional analysis[2023]. In this study, patient characteristics were entered into a logistic regression model to obtain the propensity score and predict selection for tonsillectomy. The characteristics included age, sex, urbanization level, socioeconomic status (enrollee category)[24], number of tonsillitis in the preceding year, sleep apnea and hypertrophy of the tonsils. With stratification on the propensity score into five groups on the two cohorts, the effects of tonsillectomy on DNI were analyzed within each quintile and the Mantel-Haenszel odds ratio was calculated.

Results

Patient Characteristics and risk of DNI

This study included 9,915 tonsillectomized patients and 99,150 comparison cohort between 2001 and 2009 in Taiwan. After matching for sex and age, the results showed that the patients in the tonsillectomy cohort were more likely to have more prior tonsillitis (p<0.001) and less chronic renal disease (p<0.001) than the control cohort (Table 1).

thumbnail
Table 1. Demographic characteristics of patients receiving tonsillectomy and subjects in the comparison group.

https://doi.org/10.1371/journal.pone.0117535.t001

In Table 2, among a total of 9,915 tonsillectomized patients, 34 patients developed (71.6 /100000 person-years) DNI during follow-up period (range, 1–3284 days), while 174 individuals developed DNI from the control cohort (36.6 /100000 person-years). The overall relative risk of DNI in the tonsillectomy cohort was 2.0 (95% CI, 1.4–2.8). The risk of developing DNI was significantly increased in the tonsillectomy cohorts in both sexes and in patients younger than 40 years old.

thumbnail
Table 2. Risk of deep neck infection for tonsillectomized patients and controls.

https://doi.org/10.1371/journal.pone.0117535.t002

Analysis with Cox proportional Hazard Model

The aHR for developing DNI in a mean 4.79 (±2.35)-year follow-up period was 1.71 (95% CI: 1.13–2.59) after adjusting for covariates. We further stratified the tonsillectomy cohort by the indications for surgery. The risk of DNI was increased significantly among patients who underwent tonsillectomy for chronic/recurrent tonsillitis (aHR: 1.69; 95% CI: 1.03–2.77). The aHR of patients who underwent tonsillectomy for obstructive sleep apnea/hypertrophy of tonsil was 1.90 (95% CI: 0.71–5.10) (Table 3). This association was not altered in patients that underwent a tonsillectomy for either chronic infection or sleep apnea/hypertrophy of the tonsils (p = 0.9797). The aHR in patients with chronic renal disease was 2.44 compared to those without this comorbidity (95% CI: 0.60–9.88). After stratification by the indications for surgery, the aHR of patients who underwent tonsillectomy for chronic/recurrent tonsillitis was 1.65 (95% CI: 0.23–11.9) and 8.83 (95% CI: 1.16–67.3) in patients who underwent tonsillectomy for sleep apnea/hypertrophy of tonsils.

The Kaplan-Meier analysis indicated the tonsillectomized patients had a significantly lower DNI-free survival than the patients in the comparison cohort (p<0.0001) (Fig. 1).

thumbnail
Fig 1. DNI-free survival between tonsillectomized patients and comparison cohort.

https://doi.org/10.1371/journal.pone.0117535.g001

Analysis with the Propensity Score Method

In Table 4, stratification by propensity score and the cumulative risk of DNI for the two cohorts were analyzed. The percentage of the tonsillectomy group increased while the percentage of the control group decreased from the first propensity strata to the fifth. The tonsillectomy cohort had a higher risk of developing DNI (p = 0.001, Conchran-Mantel-Haenszel statistics), with odds ratio of 1.71 (95% CI: 1.10–2.66) compared to the control group after controlling for propensity in each of the five strata.

thumbnail
Table 4. Hazard ratios of deep neck infection among patients with and without tonsillectomy, stratified by quintile of propensity score.

https://doi.org/10.1371/journal.pone.0117535.t004

Discussion

The association between adenotonsillectomy and retropharyngeal/parapharyngeal abscess has been studied in a prior case-control study, and the calculated odds ratio for the patients with abscess is 7.10 (95% CI: 2.52–19.93). However, the study design may have involved some information bias and may have not controlled for possible confounders [18].To date, this is the first cohort study to examine whether there were any differences in the incidence for DNI between individuals who underwent a tonsillectomy as compared with the subjects of the same age who had not been operated on by using the NHI dataset from 2001 to 2009. Although the incidence of deep neck infection is low in the study cohorts, the results here confirm the association between tonsillectomy and increased risk of developing DNI. After adjusting for confounders, there is a 1.71-fold (p<0.0001) relative increase in the risk of DNI in post-tonsillectomy patients compared to patients without tonsillectomy. The absolute risk increase is 35 per 100000 person-years (0.035% per person-year) compared to the control cohort. In Taiwan, the overall incidence of DNI in the tonsillectomy cohort is 71.6 per 100,000 person-years. This is the first estimate of its kind worldwide. We further exam whether there is any difference between tonsillectomy and adenotonsillectomy in terms of DNI, and no statistical significance is noted (p = 0.7919).

Two methods are used to validate the association of tonsillectomy and DNI events in this study: the Cox proportional regression hazard model and the propensity score model. Since selection bias can occur in Cox regression analysis in non-random data, Rosenbaum and Rubin developed a propensity score method to minimize the selection bias [20,25]. Using the entire study sample, participants in this study were stratified into five approximately equal-sized groups based on the quintiles of the estimated propensity scores. The propensity score strata method introduced similar distributions of possible confounders in the treatment and control groups, and eliminated more than 90% of bias from confounders [26]. In this study, the Mantel-Haenszel estimate of the pooled hazard ratio across the strata indicates a 1.71-fold increased risk for DNI in tonsillectomized patients, which is the same compared to the result obtained from the Cox proportional hazard model.

The main indications for tonsillectomy are chronic/recurrent tonsillitis and obstructive sleep apnea/hypertrophy of tonsil. Stratify the tonsillectomy subjects based on the indications for tonsillectomy, patients who underwent a tonsillectomy for chronic/recurrent infectious reasons indicate a 1.69-fold statistically higher risk for DNI (95% CI: 1.03–2.77) while the patients who underwent a tonsillectomy for sleep apnea/ hypertrophy of tonsil have a 1.90-fold higher risk for DNI (95% CI: 0.71–5.10). The latter group had an increasing trend for developing DNI, although not statistically significant. Due to the relatively small number of patients who underwent a tonsillectomy for sleep apnea/ hypertrophy of tonsil (n = 1530), there may be an inadequate statistical power to detect the significant effects. One possible reason why the second group has a relatively smaller case number may be attributed to the use of uvelopalatophryngoplasty in some of these cases instead of tonsillectomy alone. Thus, some of the patients have been excluded from the study. Furthermore, the adjusted hazard ratios for DNI between patients who underwent a tonsillectomy for these two different indications also show no statistical difference (p = 0.9797). In other words, patients undergoing tonsillectomy have an increased risk of developing DNI regardless of indication for tonsillectomy.

The chronic renal disease is predisposed to adverse infectious events which are associated with disturbance in host defense. In this study, the incidence of chronic renal disease is significantly lower in the tonsillectomy cohort (0.2%). The aHR for DNI in patients with chronic renal disease is 2.44 compared to those without this comorbidity after adjusting for confounding factors (95% CI: 0.60–9.88), but this is still not able to achieve statistical significance. The lower incidence of chronic renal disease may end up with an inadequate statistical power and fail to detect the significant difference.

Many studies on the effects of tonsillectomy on the immune demonstrate discordant results. Some studies indicated that tonsillectomy decreases the serum immunoglobulin level during some or all of their follow-up periods[14,2730] or alters cellular immunity[31]. In contrast, some studies reveal that tonsillectomies do not alter immune functions [15,17,32]. Among them, IgA is the predominant isotype in mucosal epithelia of the respiratory tract, and may play a role in the protection against bacterial and viral infections[33,34]. Andreu-Ballester et al. conducted a study addressing serum level of IgA and found that levels of secretory IgA (sIgA), instead of IgA1 or IgA2 in serum, were significantly decreased after tonsillectomy and/or appendectomy and that this decrease might continue to 20 years after tonsillectomy [35]. The present study hypothesizes that the subtle alterations in immune functions following tonsillectomy may underlie their relationship. Further comprehensive investigation will be needed to determine the change of immunoglobulins, especially sIgA levels both in serum and local mucosal after tonsillectomy, and to determine whether such a decrease is associated with an increased susceptibility to regional infection, such as deep neck infections. Regarding innate immunity, the palatine tonsils express a numbers of antimicrobial peptides, including defensins and cathelicidins. They have direct antimicrobial activities protecting the host from microbial invasion and can indirect modulate adaptive immunity [3639].Theoretically, the removal of palatine tonsils can alter the expression of host defense peptides and increase susceptibility to bacterial infections. However, studies regarding the impact of a tonsillectomy on innate immunity are still lacking.

Relatively few long-term medical consequences have been studied as they relate to tonsillectomy. Some studies suggested that tonsillectomy is associated with cancer such as Hodgkin’s lymphoma and breast cancer [40,41]. Janszky at al. reported childhood tonsillectomy increases the risk of premature acute myocardial infarction in a population-based cohort study [42]. Tonsillectomy is also a risk factor for Crohn’s disease and is associated with subsequent appendicitis [43,44]. The present study adds to evidence that tonsillectomy increases the risk of DNI in a nationwide cohort study. More comprehensive basic and clinical research is needed to characterize these relationships and the underlying pathophysiology.

Some limitations regarding this study should be addressed. First, the diagnoses of tonsillectomy, acute tonsillitis, and medical co-morbidities are completely dependent on ICD-9 codes in the administrative database. Thus, validation of accuracy of diagnoses is not possible by individual medical record review and misclassification is possible. Of note, these misclassifications are more likely to be random and the association tend to be underestimated rather than overestimated [45]. Second, the dataset provides comprehensive records from 2000 through 2009, but excludes some tonsillectomies in the comparison group who received this operation before year 2000. Because this type of exposure misclassification exclusively makes the non-exposed group more similar to the exposed group, it will lead to an underestimation of the true association. Third, the study and control cohorts are different in the distributions of recurrent tonsillitis and sleep apnea which possibly bias the result. We included the numbers of prior tonsillitis only in the preceding year in the cox proportional hazard model to adjust this possible confounding effect; however, we do not know whether this surrogate could truly reflect the severity of recurrent tonsillitis. Sleep apnea and hypertrophy of tonsils are not known risk factor for DNI in the literature, and we do not include these two factors in the proportional hazard model. Instead, we included them in the propensity score model which indicated the similar result. Given the robust magnitude of the effects with the statistical significance, the limitations are unlikely to compromise the results.

In conclusion, this is the first cohort study to confirm the association between tonsillectomy and deep neck infection. Using two different types of statistical analysis, the results consistently demonstrated that post-tonsillectomy patients have an increased risk for deep neck infection. Whether the attitude of clinicians and patients towards tonsillectomy should be more conservative warrants further investigation.

Supporting Information

S1 File. Nationwide data file for this study.

https://doi.org/10.1371/journal.pone.0117535.s001

(SAS7BDAT)

Author Contributions

Conceived and designed the experiments: YPW PC. Performed the experiments: YPW MCW. Analyzed the data: YPW MCW HCL PC. Contributed reagents/materials/analysis tools: YPW KSL HCL PC. Wrote the paper: YPW PC.

References

  1. 1. Van Den Akker EH, Hoes AW, Burton MJ, Schilder AG (2004) Large international differences in (adeno)tonsillectomy rates. Clin Otolaryngol Allied Sci 29: 161–164. pmid:15113303
  2. 2. Bhattacharyya N, Lin HW (2010) Changes and consistencies in the epidemiology of pediatric adenotonsillar surgery, 1996–2006. Otolaryngol Head Neck Surg 143: 680–684. pmid:20974339
  3. 3. National Center for Health Statistics (1998) Ambulatory and inpatient procedures in the United States, 1996. Vital and Health Statistics (Series 13, No 139).
  4. 4. Randel A (2011) AAO-HNS Guidelines for Tonsillectomy in Children and Adolescents. Am Fam Physician 84: 566–573. pmid:21888309
  5. 5. Baugh RF, Archer SM, Mitchell RB, Rosenfeld RM, Amin R, et al. (2011) Clinical practice guideline: tonsillectomy in children. Otolaryngol Head Neck Surg 144: S1–30. pmid:21493257
  6. 6. Parker NP, Walner DL (2011) Trends in the indications for pediatric tonsillectomy or adenotonsillectomy. Int J Pediatr Otorhinolaryngol 75: 282–285. pmid:21168225
  7. 7. Hoddeson EK, Gourin CG (2009) Adult tonsillectomy: current indications and outcomes. Otolaryngol Head Neck Surg 140: 19–22. pmid:19130955
  8. 8. Suzumoto M, Hotomi M, Fujihara K, Tamura S, Kuki K, et al. (2006) Functions of tonsils in the mucosal immune system of the upper respiratory tract using a novel animal model, Suncus murinus. Acta Otolaryngol 126: 1164–1170. pmid:17050308
  9. 9. Nave H, Gebert A, Pabst R (2001) Morphology and immunology of the human palatine tonsil. Anat Embryol (Berl) 204: 367–373. pmid:11789984
  10. 10. Brandtzaeg P (2011) Immune functions of nasopharyngeal lymphoid tissue. Adv Otorhinolaryngol 72: 20–24. pmid:21865681
  11. 11. van Kempen MJ, Rijkers GT, Van Cauwenberge PB (2000) The immune response in adenoids and tonsils. Int Arch Allergy Immunol 122: 8–19. pmid:10859465
  12. 12. Brandtzaeg P (2003) Immunology of tonsils and adenoids: everything the ENT surgeon needs to know. Int J Pediatr Otorhinolaryngol 67 Suppl 1: S69–76. pmid:14662171
  13. 13. Ogra PL (1971) Effect of tonsillectomy and adenoidectomy on nasopharyngeal antibody response to poliovirus. N Engl J Med 284: 59–64. pmid:4321186
  14. 14. Cantani A, Bellioni P, Salvinelli F, Businco L (1986) Serum immunoglobulins and secretory IgA deficiency in tonsillectomized children. Ann Allergy 57: 413–416. pmid:3789468
  15. 15. Kaygusuz I, Godekmerdan A, Karlidag T, Keles E, Yalcin S, et al. (2003) Early stage impacts of tonsillectomy on immune functions of children. Int J Pediatr Otorhinolaryngol 67: 1311–1315. pmid:14643474
  16. 16. Zielnik-Jurkiewicz B, Jurkiewicz D (2002) Implication of immunological abnormalities after adenotonsillotomy. Int J Pediatr Otorhinolaryngol 64: 127–132. pmid:12049825
  17. 17. Kaygusuz I, Alpay HC, Godekmerdan A, Karlidag T, Keles E, et al. (2009) Evaluation of long-term impacts of tonsillectomy on immune functions of children: a follow-up study. Int J Pediatr Otorhinolaryngol 73: 445–449. pmid:19150575
  18. 18. Duval M, Daniel SJ (2008) Retropharyngeal and parapharyngeal abscesses or phlegmons in children. Is there an association with adenotonsillectomy? Int J Pediatr Otorhinolaryngol 72: 1765–1769. pmid:18922587
  19. 19. Wen CP, Tsai SP, Chung WS (2008) A 10-year experience with universal health insurance in Taiwan: measuring changes in health and health disparity. Ann Intern Med 148: 258–267. pmid:18283203
  20. 20. Rubin DB (1997) Estimating causal effects from large data sets using propensity scores. Ann Intern Med 127: 757–763. pmid:9382394
  21. 21. Rubin DB (1993) Tasks in statistical inference for studying variation in medicine. Med Care 31: YS103–110. pmid:8492580
  22. 22. Chen YC, Su YC, Lee CC, Huang YS, Hwang SJ (2012) Chronic kidney disease itself is a causal risk factor for stroke beyond traditional cardiovascular risk factors: a nationwide cohort study in Taiwan. PLoS One 7: e36332. pmid:22558437
  23. 23. Austin PC (2011) An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies. Multivariate Behav Res 46: 399–424. pmid:21818162
  24. 24. Chen CY, Liu CY, Su WC, Huang SL, Lin KM (2007) Factors associated with the diagnosis of neurodevelopmental disorders: a population-based longitudinal study. Pediatrics 119: e435–443. pmid:17272605
  25. 25. Begg CB, Cramer LD, Hoskins WJ, Brennan MF (1998) Impact of hospital volume on operative mortality for major cancer surgery. JAMA 280: 1747–1751. pmid:9842949
  26. 26. Stukel TA, Fisher ES, Wennberg DE, Alter DA, Gottlieb DJ, et al. (2007) Analysis of observational studies in the presence of treatment selection bias: effects of invasive cardiac management on AMI survival using propensity score and instrumental variable methods. JAMA 297: 278–285. pmid:17227979
  27. 27. Dai Z, Huang, D CZ (2014) The effects of partial tonsillectomy on the immune functions of children with obstructive sleep apnea-hypopnea syndrome at early stage. Genet Mol Res 13. pmid:25526220
  28. 28. Nasrin M, Miah MR, Datta PG, Saleh AA, Anwar S, et al. (2012) Effect of tonsillectomy on humoral immunity. Bangladesh Med Res Counc Bull 38: 59–61. pmid:23227629
  29. 29. Bock A, Popp W, Herkner KR (1994) Tonsillectomy and the immune system: a long-term follow up comparison between tonsillectomized and non-tonsillectomized children. Eur Arch Otorhinolaryngol 251: 423–427. pmid:7857631
  30. 30. Sainz M, Gutierrez F, Moreno PM, Munoz C, Ciges M (1992) Changes in immunologic response in tonsillectomized children. I. Immunosuppression in recurrent tonsillitis. Clin Otolaryngol Allied Sci 17: 376–379. pmid:1458616
  31. 31. Moreno PM, Sanchez M, Sainz M, Gutierrez F (1992) Changes in immunological response in tonsillectomized children. II. Decreased cellular response. Clin Otolaryngol Allied Sci 17: 380–382. pmid:1458617
  32. 32. van den Akker EH, Sanders EA, van Staaij BK, Rijkers GT, Rovers MM, et al. (2006) Long-term effects of pediatric adenotonsillectomy on serum immunoglobulin levels: results of a randomized controlled trial. Ann Allergy Asthma Immunol 97: 251–256. pmid:16937760
  33. 33. Rodriguez A, Tjarnlund A, Ivanji J, Singh M, Garcia I, et al. (2005) Role of IgA in the defense against respiratory infections IgA deficient mice exhibited increased susceptibility to intranasal infection with Mycobacterium bovis BCG. Vaccine 23: 2565–2572. pmid:15780438
  34. 34. Rodriguez A, Rottenberg M, Tjarnlund A, Fernandez C (2006) Immunoglobulin A and CD8 T-cell mucosal immune defenses protect against intranasal infection with Chlamydia pneumoniae. Scand J Immunol 63: 177–183. pmid:16499570
  35. 35. Andreu-Ballester JC, Perez-Griera J, Ballester F, Colomer-Rubio E, Ortiz-Tarin I, et al. (2007) Secretory immunoglobulin A (sIgA) deficiency in serum of patients with GALTectomy (appendectomy and tonsillectomy). Clin Immunol 123: 289–297. pmid:17449327
  36. 36. Choi KY, Chow LN, Mookherjee N (2012) Cationic host defence peptides: multifaceted role in immune modulation and inflammation. J Innate Immun 4: 361–370. pmid:22739631
  37. 37. Bowdish DM, Davidson DJ, Hancock RE (2006) Immunomodulatory properties of defensins and cathelicidins. Curr Top Microbiol Immunol 306: 27–66. pmid:16909917
  38. 38. Bell S, Howard A, Wilson JA, Abbot EL, Smith WD, et al. (2012) Streptococcus pyogenes infection of tonsil explants is associated with a human beta-defensin 1 response from control but not recurrent acute tonsillitis patients. Mol Oral Microbiol 27: 160–171. pmid:22520386
  39. 39. Sigurdardottir SL, Thorleifsdottir RH, Guzman AM, Gudmundsson GH, Valdimarsson H, et al. (2012) The anti-microbial peptide LL-37 modulates immune responses in the palatine tonsils where it is exclusively expressed by neutrophils and a subset of dendritic cells. Clin Immunol 142: 139–149. pmid:22036268
  40. 40. Vestergaard H, Westergaard T, Wohlfahrt J, Hjalgrim H, Melbye M (2010) Tonsillitis, tonsillectomy and Hodgkin's lymphoma. Int J Cancer 127: 633–637. pmid:19839050
  41. 41. Brasky TM, Bonner MR, Dorn J, Marhsall JR, Vena JE, et al. (2009) Tonsillectomy and breast cancer risk in the Western New York Diet Study. Cancer Causes Control 20: 369–374. pmid:18953693
  42. 42. Janszky I, Mukamal KJ, Dalman C, Hammar N, Ahnve S (2011) Childhood appendectomy, tonsillectomy, and risk for premature acute myocardial infarction—a nationwide population-based cohort study. Eur Heart J 32: 2290–2296. pmid:21632600
  43. 43. Gearry RB, Richardson AK, Frampton CM, Dodgshun AJ, Barclay ML (2010) Population-based cases control study of inflammatory bowel disease risk factors. J Gastroenterol Hepatol 25: 325–333. pmid:20074146
  44. 44. Andreu-Ballester JC, Colomer RE, Millan Scheiding M, Ballester F (2003) Tonsillectomy and risk of acute appendicitis. Am J Gastroenterol 98: 2806–2807. pmid:14687841
  45. 45. Chiu HF, Ho SC, Chen CC, Yang CY (2011) Statin use and the risk of liver cancer: a population-based case-control study. Am J Gastroenterol 106: 894–898. pmid:21157439