Abstract
Background
There is a lack of knowledge about mortality in eosinophilic esophagitis (EoE). Therefore, this study aimed to examine the mortality in EoE.
Methods
A nationwide, population-based matched cohort study was conducted of all EoE patients in Sweden diagnosed between July 2005 and December 2017. Individuals with EoE (n = 1,625) were identified through prospectively recorded histopathology codes from all gastrointestinal pathology reports in Sweden, representing 28 pathology departments (the ESPRESSO study). Each individual with EoE was then matched with up to five reference individuals from the general population (n = 8,003) for age, sex, year of birth, and place of residence. We used the Cox proportional hazard modeling to estimate the adjusted hazard ratio (aHR) and 95% confidence interval (95% CI) while adjusting for other potential confounders. In sensitivity analyses, mortality in EoE patients was compared with mortality in their siblings.
Results
Through December 2017, 34 deaths were confirmed in EoE patients (4.60 per 1,000 person-years) compared with 165 in reference individuals (4.57 per 1,000 person-years). This rate corresponds to an aHR of 0.97 (95% CI = 0.67–1.40). HRs were similar in males (aHR = 1.00 [0.66–1.51]) and females (aHR = 0.92 [0.38–2.18]). We observed no increased risk in mortality due to esophageal or other gastrointestinal cancers in patients with EoE (aHR = 1.02 [0.51–2.02]).
Mortality was similar in EoE patients and their siblings (aHR = 0.91 [0.44–1.85]).
Conclusion
In this nationwide, population-based matched cohort study in Sweden, there was no increased risk of death in patients with EoE compared with their siblings and the general population.
Keywords: death, cancer, eosinophilic esophagitis, mortality, population-based
Introduction
Eosinophilic esophagitis (EoE) is a chronic inflammatory condition of the esophagus that is associated with recurrent food impaction and the development of esophageal strictures. The incidence of EoE appears to be increasing for reasons that are obscure (1). A meta-analysis of 18 studies describing the incidence of EoE in adults and children reported an overall incidence rate of 4.4 new cases of EoE per 100,000 individuals/year (2), and the disease is now estimated to affect 1 in 2,000 persons in North America and Europe (3, 4). Despite the growing recognition of EoE as an important clinical entity associated with significant disease burden and health care costs (5), the natural history of EoE is not fully known.
The most well-recognized complication of EoE is a progression from a predominantly inflammatory to a fibrostenotic phenotype (6), which is associated with the development of esophageal strictures or diffuse esophageal narrowing (7).
Straumann and colleagues described the clinical course of 30 adult EoE patients who were followed for an average of 7.2 years. The authors found no cases of esophageal malignancy or death from any cause (8). Another study followed 13 EoE patients for an average of 13.6 years. Similarly, this study did not observe any cases of malignancy or death during the 13.6-year follow-up (9). Importantly, neither the US (10) nor international (11) guidelines and consensus documents specifically address mortality in EoE. Mortality associated with EoE is presumed to be relatively low, but this has not been specifically examined in a large, geographically restricted cohort of EoE patients.
Inflammation has been hypothesized to play a role in the development of several chronic conditions associated with increased mortality, including cardiovascular disease (CVD) (12) and cancer (13). Because EoE is a life-long disease that typically afflicts young, otherwise healthy individuals, patients may experience many years of persistent and chronic immune activation and inflammation. While the direct effects of long-standing esophageal inflammation are recognized to contribute to esophageal fibrosis (6), the long-term risk of mortality associated with EoE remains elusive. We, therefore, sought to examine the mortality in 1,625 patients with biopsy-verified EoE and to compare them with 8,003 reference individuals from the general population, as well as with 2,142 siblings of the 1,625 EoE patients.
Methods
Study population
Eosinophilic esophagitis
Swedish biopsy data are categorized according to the SNOMED-CT classification system (Systematized Nomenclature of Medicine Clinical Terms), a standardized health care terminology used in many countries. Through the previously described ESPRESSO cohort (14), we requested all electronic gastrointestinal (GI) histopathology reports of esophageal biopsies (T62) obtained at 28 centers across Sweden from October 12, 2015 through April 10, 2017. We limited EoE to incident disease from July 1, 2005 onwards since data on medications were available only since that date. Cases of EoE (n = 1,625; Figure 1) were identified based on the presence of inflammation that included eosinophils (M47150). Data from our group show that the presence of eosinophilic inflammation on histopathology has a positive predictive value of 89% for the EoE diagnosis (15). For a more detailed review of our data collection, we refer to our previous publication on the ESPRESSO study (14).
Reference individuals
Each individual with EoE was matched with up to five age, sex, county of residence, and birth year reference individuals (n = 8,003) from the Swedish Total Population Register (TPR) (16). Reference individuals had to be free from EoE at the time of matching but could still be included in the study if they developed EoE in the future. However, if they developed EoE later, their follow-up was excluded from the control group.
Sibling comparators
We identified siblings of the EoE patients (n = 2,142) through the Swedish Multigeneration Register, a sub-section of the TPR. Sibling data were available on all individuals born after 1932 and who were registered as residents of Sweden in 1961 or later. To minimize intrafamilial confounding (mainly genetic and early environmental factors) that could potentially influence both the risk of EoE and mortality, sibling comparators were examined.
Outcome measure
Date of death was retrieved from the TPR. This register is maintained by the Swedish government and contains data on life events, including birth, death, family relationships, and migration within as well as migration to and from Sweden. It covers essentially 100% of deaths (16). The Swedish Cause of Death Register (17), a comprehensive and virtually complete record of all deaths in Sweden since 1952, contains data on the cause of death. Our primary outcome was overall mortality, but we also examined death from CVD, cancer, and other diseases (including GI and infection-related deaths).
Other covariates
Level of education was divided into the following categories: compulsory (≤9 years), upper secondary (10–12 years), and college or university (≥13 years). Data were retrieved from the Longitudinal Integrated Database for Health Insurance and Labour Market Studies (LISA) (18).
To assess the potential importance of drug treatment in EoE and mortality, we estimated separate HRs for death in EoE patients with and without steroids and proton-pump inhibitors (PPIs). Medication data were available through the Swedish Prescribed Drug Register (19), and the analysis was, therefore, restricted to incident EoE patients from July 1, 2005 or later, when the register started. Steroid use was defined as having an ATC code of H02AB (systemic), R03BA01, R03BA02, R03BA05, R03BA08, and R01AD09 (all R-codes represented swallowed/topical steroids) from first EoE diagnosis or January 1, 2006 (we allowed half a year since the start of the register to make sure this was the first ever steroid prescription) up until death. We defined PPIs similarly but through ATC code A02BC.
Statistical analysis
The study design was a population-based, nationwide matched cohort study. In our primary analysis, EoE patients and general population reference individuals were matched (1:5) at the time of diagnosis for age, sex, county of residence, and calendar year. Study follow-up was done from the date of diagnosis of EoE (or index date for matched reference individuals) to the date of death, emigration, or end of follow-up on December 31, 2017, whichever came first. For the reference individuals, there was also the possibility that they might develop EoE during follow-up; if this occurred, they were excluded as reference individuals and moved to the EoE group. Cox proportional hazard modeling was used to calculate the hazard ratio (HR) and 95% confidence interval (95% CI) for overall and cause-specific mortality while accounting for the matching variables. Absolute risks (deaths per 1,000 person-years of follow-up) were calculated for the complete follow-up period. In exploratory analyses, the association was examined according to strata defined by years of follow-up (divided into three groups), age at first EoE diagnosis (<18, 18 to <50, and ≥50 years), sex, and education level (Table 1).
Table 1.
EoE |
Population reference individuals |
Siblings |
|
---|---|---|---|
n (%) | n (%) | n (%) | |
Total | 1,625 (100.00) | 8,003 (100.00) | 2,142 (100.00) |
Male | 1,221 (75.14) | 6,004 (75.02) | 1,097 (51.21) |
Female | 404 (24.86) | 1,999 (24.98) | 1,045 (48.79) |
Age at start of follow-up (years) | |||
Mean (SD) | 37.71 (20.34) | 37.35 (20.16) | 37.81 (19.81) |
Median (IQR) | 39.00 (19.00–53.00) | 38.00 (19.00–52.50) | 39.00 (21.00–53.00) |
<18 | 247 (15.20) | 1,226 (15.32) | 257 (12.00) |
18 to <50 | 824 (50.71) | 4,100 (51.23) | 1,131 (52.80) |
≥50 | 554 (34.09) | 2,677 (33.45) | 754 (35.20) |
Years of follow-up (years) | |||
Mean (SD) | 4.55 (2.43) | 4.51 (2.44) | 4.59 (2.35) |
Median (IQR) | 4.09 (2.71–6.07) | 4.07 (2.64–5.93) | 4.21 (2.84–5.99) |
<1 | 32 (1.97) | 210 (2.62) | 49 (2.29) |
1 to <5 | 996 (61.29) | 4,886 (61.05) | 1,283 (59.90) |
≥5 | 597 (36.74) | 2,907 (36.32) | 810 (37.82) |
Start of follow-up | |||
2005–2011 | 421 (25.91) | 2,075 (25.93) | 547 (25.54) |
2012–2013 | 436 (26.83) | 2,155 (26.93) | 630 (29.41) |
2014–2015 | 566 (34.83) | 2,782 (34.76) | 717 (33.47) |
2016–2017 | 202 (12.43) | 991 (12.38) | 248 (11.58) |
Reason for end of follow-up | |||
Death | 34 (2.09) | 165 (2.06) | 35 (1.63) |
Emigration | 13 (0.80) | 126 (1.57) | 9 (0.42) |
December 31, 2017 | 1,578 (97.11) | 7,709 (96.33) | 2,092 (97.67) |
Diagnosed with EoE | 0 (0.00) | 3 (0.04) | 6 (0.28) |
Education | |||
Compulsory school (≤9 years) | 254 (15.63) | 1,511 (18.88) | 315 (14.71) |
Upper secondary school (10–12 years) | 574 (35.32) | 2,802 (35.01) | 782 (36.51) |
College or university (≥13 years) | 488 (30.03) | 2,044 (25.54) | 638 (29.79) |
No data | 309 (19.02) | 1,646 (20.57) | 407 (19.00) |
EoE, eosinophilic esophagitis; SD, standard deviation; IQR, interquartile range.
In the secondary analysis, the rate of mortality in EoE patients was compared with their siblings and to patients with normal esophageal biopsies. Sibling analyses were stratified as per family (one stratum per family). The power of this approach is that it automatically controls for covariates that are shared in the family (family situation, genetics, etc.). Finally, we also explored mortality in EoE according to steroid use (see Appendix for a list of relevant ATC codes). In a posthoc analysis, we also compared mortality in EoE patients with systemic steroids vs those with swallowed/topical steroids.
All analyses were adjusted for age, sex, county of residence, and year of biopsy. Statistics were carried out using R statistical software (version 3.5.2; R Foundation for Statistical Computing, Vienna, Austria) and the survival package (version 2.43, Therneau, T (2015), https://CRAN.R-project.org/package=survival). Statistical significance was set to P < 0.05. CIs were computed by inversion of the likelihood ratio test statistic.
Ethics
This study was approved by the Stockholm Ethics Review Board. An informed consent was waived by the board, given that the study was strictly register based (20).
Patient and public involvements
Patients or the public were not involved in the design, or conduct, or reporting, or dissemination plans of our research.
Results
Background data of EoE patients and reference individuals
In total, 1,625 patients were diagnosed with EoE over 12 years (2005–2017) (Table 1). The median age at diagnosis was 39 years (interquartile range [IQR] 19–53). Half of the patients were between 18 and 50 years old, with 15.2% of EoE patients diagnosed before the age 18 and 34% being ≥50 years at the time of diagnosis. Consistent with previous descriptions, an observed male predominance (75.1%) was noted. The median duration of follow-up was 4.09 years (IQR 2.71–6.07), with 42 (2.6%) EoE patients being followed for ≥10 years. Some 370 (22.87%) of EoE patients had a record of steroid use after EoE diagnosis. A patient chart review from the ESPRESSO cohort has revealed that in a random subset of 54 EoE patients with data on the location of esophageal biopsy, 54% had biopsies taken both in the upper/mid part and the lower part of the esophagus (15).
Mortality among EoE patients and general population reference individuals
In the EoE group, 34 deaths were confirmed (4.6 per 1,000 person-years) compared with 165 in population comparators (4.57 per 1,000 person-years) (Table 2). These risk estimates correspond to an HR of 0.97 (95% CI = 0.67–1.40) (Figures 2 and 3; eTable 1 shows crude HRs and eTable 2 shows adjusted HRs). Individuals with EoE died from a wide range of causes, including cancer, CVD, pulmonary disease, and infections.
Table 2.
EoE | Population reference individuals | Siblings | |
---|---|---|---|
N Total | 1,625 | 8,003 | 2,142 |
N events | 34 | 165 | 35 |
Incidence proportion (%) | 2.09 | 2.06 | 1.63 |
Person-years | 7,399 | 36,112 | 9,823 |
Incidence rate/1,000 person-years (95% CI) | 4.60 (3.30–6.26) | 4.57 (3.92–5.29) | 3.56 (2.57–4.84) |
Years of follow-up | |||
<1 | 1.85 (0.67–4.46) | 4.15 (2.96–5.68) | 3.75 (1.93–6.76) |
1 to <5 | 5.60 (3.80–7.99) | 5.04 (4.19–6.03) | 3.32 (2.16–4.93) |
≥5 | 4.58 (2.15–8.91) | 3.46 (2.30–5.05) | 4.19 (2.07–7.81) |
Sex | |||
Males | 4.99 (3.46–7.00) | 4.75 (4.00–5.60) | 3.61 (2.30–5.46) |
Females | 3.36 (1.58–6.54) | 3.99 (2.88–5.42) | 3.51 (2.20–5.37) |
Age at start of follow-up (years) | |||
<18 | 0.00 (0.00–0.00) | 0.21 (0.07–0.59) | 0.46 (0.11–1.70) |
18 to <50 | 0.88 (0.32–2.13) | 0.90 (0.55–1.41) | 0.83 (0.33–1.81) |
≥50 | 14.74 (10.41–20.36) | 14.73 (12.55–17.20) | 10.71 (7.52–14.87) |
Education | |||
Compulsory school (≤9 years) | 16.30 (10.36–24.65) | 9.40 (7.38–11.81) | 8.21 (4.74–13.47) |
Upper secondary school (10–12 years) | 3.73 (2.05–6.37) | 4.69 (3.64–5.96) | 4.19 (2.55–6.56) |
College or university (≥13 years) | 2.40 (1.06–4.92) | 2.38 (1.56–3.50) | 1.41 (0.57–3.09) |
Start of follow-up | |||
2005–2010 | 3.60 (1.92–6.31) | 4.12 (3.13–5.34) | 2.18 (1.08–4.07) |
2011–2014 | 5.59 (3.70–8.15) | 5.19 (4.27–6.26) | 4.43 (2.99–6.37) |
2015–2017 | 3.11 (1.13–7.49) | 3.18 (1.94–4.98) | 3.34 (1.36–7.32) |
Start of follow-up (with max 2 years of FU) | |||
2005–2010 | 5.11 (1.86–12.30) | 4.51 (2.65–7.27) | 2.61 (0.81–7.28) |
2011–2014 | 2.92 (1.29–5.99) | 5.86 (4.44–7.61) | 4.29 (2.36–7.33) |
2015–2017 | 3.61 (1.31–8.69) | 2.95 (1.70–4.83) | 2.94 (1.07–7.07) |
95% CI, 95% confidence interval; P-years, person-years; FU, follow-up.
In the group of older patients (≥50 years at diagnosis), there were 31 deaths, corresponding to an adjusted HR (aHR) of 0.98; 95% CI = 0.66–1.44. In the 18–49-year age group, there were three deaths (aHR = 0.98; 95% CI = 0.28–3.38), and in the younger age group (≤17 years), no deaths occurred (Figure 3).
Mortality rates in patients with EoE did not differ by sex. Of the males with EoE, there were 4.99 deaths (95% CI = 3.46–7.00) per 1,000 person-years versus 4.75 (95% CI = 4.00–5.60) per 1,000 person-years in male reference individuals (Table 2), which corresponds to an aHR death of 1.00 (95% CI = 0.66–1.51) (Figure 3). In females with EoE, the mortality rate was 3.36 (95% CI = 1.58–6.54) per 1,000 person-years compared with 3.99 (95% CI = 2.88–5.42) per 1,000 person-years in female reference individuals (Table 2), which corresponds to an aHR death of 0.92 (95% CI = 0.38–2.18) in EoE patients versus population reference individuals (Figure 3).
Education level did not influence risk estimates (strata according to attained education: ≤9 years: aHR = 1.39 (95% CI = 0.73–2.63); 10–12 years: aHR = 1.08 (95% CI = 0.48–2.40); and ≥13 years: aHR = 1.10 (95% CI = 0.32–3.74)). Length of follow-up was divided into three categories: <1, 1 to <5 years, and ≥5 years. There were no differences in mortality in any of these groups (<1 year aHR = 0.41 [95% CI = 0.13–1.33]; 1 to <5 years aHR = 1.09 [95% CI = 0.71–1.69]; and ≥5 years aHR = 1.59 [95% CI = 0.59–4.28]) (Figure 3).
In the most recent subset of patients (the 202 EoE patients diagnosed since January 2015), the aHR was 0.92 (95% CI = 0.27–3.20) (Figure 3). Similar aHRs were found when the follow-up was restricted to the first 2 years (to make the different calendar periods more comparable as an earlier follow-up would otherwise influence mortality much more in the later calendar period with the shortest follow-up, namely, 2015–17) (eTable 2).
Cause-specific mortality
Rates of death were specifically analyzed for CVD and cancer (Table 3). For the EoE patients, there were six deaths (per 7,400 person-years) attributable to cardiovascular causes, which corresponds to an aHR of 0.75 (95% CI = 0.32–1.79) as compared with reference individuals. There were 10 deaths due to cancer (per 7,400 person-years) in the EoE cohort, which corresponds to an aHR of 1.06 (95% CI = 0.53–2.11) compared with reference individuals. The number of deaths attributable to infections and GI causes was too few to allow meaningful analyses, and these were, therefore, grouped with all other causes, of which there were 18 cause-specific deaths (per 7,400 person-years) with an aHR of 1.01 (95% CI = 0.60–1.68).
Table 3.
Cause of death | Model | Reference | Population reference individuals | Siblings |
---|---|---|---|---|
All | HR | 34/7.40 | 165/36.11, 1.01 (0.70–1.46) | 35/9.82, 0.76 (0.38–1.51) |
aHR | 34/7.40 | 165/36.11, 0.97 (0.67–1.40) | 35/9.82, 0.91 (0.44–1.85) | |
Cardiovascular | HR | 6/7.40 | 40/36.11, 0.73 (0.31–1.73) | 9/9.82, 0.00 (0.00–inf) |
aHR | 6/7.40 | 40/36.11, 0.75 (0.32–1.79) | 9/9.82, 0.00 (0.00–inf) | |
Cancer | HR | 10/7.40 | 45/36.11, 1.09 (0.55–2.15) | 12/9.82, 0.81 (0.25–2.59) |
aHR | 10/7.40 | 45/36.11, 1.06 (0.53–2.11) | 12/9.82, 1.05 (0.31–3.61) | |
Other | HR | 18/7.40 | 80/36.11, 1.10 (0.66–1.83) | 14/9.82, 1.28 (0.51–3.22) |
aHR | 18/7.40 | 80/36.11, 1.01 (0.60–1.68) | 14/9.82, 1.81 (0.62–5.27) |
HR, crude hazard ratio; aHR, adjusted hazard ratio.
Additional analyses
Finally, we compared 1,247 patients with EoE who had ≥1 sibling (n = 2,142) (Figure 1). The mortality in the EoE patients did not differ from that in their siblings (aHR = 0.91 [95% CI = 0.44–1.85]) (eTable 2). Adjusting our sibling analyses for education yielded a similar aHR (1.16; 95% CI = 0.54–2.46).
Restricting our cohort to EoE patients with a record of steroids, we found no association with death (HR = 0.98; 95% CI = 0.43–2.22). An interaction test found a higher mortality in EoE patients with systemic steroids (HR = 2.01; 0.94–4.29) than in those with topical/swallowed steroids (HR = 0.14; 95% CI = 0.02–1.05) (P = 0.016), but none of the risk estimates was statistically significant compared to the general population.
The HR for death was 1.00 (95% CI = 0.66–1.51) in EoE patients without a record of steroid medication.
Discussion
In this nationwide population-based matched cohort study of more than 1,600 patients with EoE, we found neither increased risk of death nor any increase in death from cancer or CVD. These results are reassuring for patients who often suffer from food impaction and feeding difficulties, in which ongoing inflammation, albeit local, often leads to strictures that cause mechanical obstruction. In the present study, cases of EoE were identified based on the presence of inflammation that included eosinophils.
An accurate understanding of the long-term prognosis of EoE is critical to helping providers and patients decide among current medical and dietary treatments (21), as well as to guide priorities of wider research and therapeutic development. Over the past decade, important progress has been made toward understanding the genetic and environmental basis of the disease (22). Moreover, the definition and diagnostic criteria of EoE have evolved from this work (11). The natural history of EoE has been studied (23–25), and a range of possible outcomes described, with fibrostenotic progression being the primary complication of undiagnosed or untreated disease (6). However, one important area in the natural history of EoE that remains relatively unexamined is whether this disease carries an increased risk of mortality. Mortality in EoE has been presumed to be low, but up to this point, long-term outcomes in EoE specific to mortality have only been described in a small number of EoE patients followed longitudinally (8, 9). Through the ESPRESSO study (14), we identified more than 1,600 EoE patients and had an 80% power to detect a 25% increased risk of death at a significance level of 0.05. In the present study, we found no difference in overall mortality (HR = 0.97) in EoE patients when compared with reference individuals. In addition, the mortality rate in EoE patients did not appear to be significantly different in comparison with the general population based on the age at diagnosis, duration of follow-up or socioeconomic status.
A high rate of concurrent atopic disease (60–70%) (26) occurs in EoE and EoE patients often have atopic dermatitis, asthma, or both (26). Patients with severe atopic dermatitis may be at increased risk of death (27). Of note, however, Danish researchers have shown that (cardiovascular) mortality in atopic dermatitis is neutral in mild disease. Meanwhile, the excess mortality seen for severe disease completely disappears with adjustment for background factors (28). Multiple epidemiologic studies have confirmed increased mortality with asthma (29). Although EoE and asthma sometimes coexist and are mechanistically overlapping atopic diseases, it has not yet been established where EoE fits in the spectrum of possible mortality. We have shown here that despite often severe symptoms, patients with EoE are at no increased risk of death or, at most, have a marginally increased risk (in this study, the upper 95% CI was 1.4).
Consistent with previous research (30), there appears to be no increased mortality due to cancers, including GI cancers (e.g. esophageal carcinoma). This finding is notable because one of the strongest risk factors for esophageal adenocarcinoma is Barrett’s esophagus (31), which is thought to arise primarily from molecular genetic changes induced by chronic inflammation (acid reflux, alcohol, and smoking) in the esophageal epithelium (32). A close relationship and overlap between acid reflux and EoE have been reported, including clinical presentation and response to proton pump inhibitor (PPI) therapy (33, 34). One might expect that chronic inflammation, which is due to EoE, might also predispose to metaplastic changes giving rise over time to esophageal cancers. Our data should provide clarity and reassurance to patients given that we observed no increased risk in mortality due to esophageal or other GI cancers in patients with EoE (HR = 1.02 [95% CI = 0.51–2.02]).
The major strength of our study is that it represents the first effort to examine specifically mortality rates in EoE. Second, it uses a large cohort of EoE patients identified through a validated histopathologic method from a nationwide population-based register. The cohort of 1,625 EoE patients that we identified through histopathologic criteria was highly representative of descriptions of EoE in the literature, including a 3:1 male-to-female ratio, that the disease occurs most frequently in the early and middle decades of life, and with typical rates of exposure to conventional therapies, such as swallowed steroids (38%) and PPI antacids (87%) (15). A set of reference individuals from the general population was generated and matched for age, sex, country of residence, and year of birth. In addition to comparing EoE patients with the general population, unique access to the Swedish Multigeneration Register (a part of the larger TPR) enabled the identification of 2,142 siblings of EoE patients to compare mortality. EoE is strongly driven by both genetic and environmental factors (35), which can be difficult to isolate because genetically related family members very often live in the same house and have shared dietary and environmental exposures. The use of sibling comparators in these analyses minimizes these overlapping and potentially confounding intrafamilial factors and allows better control over isolating the direct effect of having EoE on the risk of death, which was overall similar in individuals with EoE and their siblings.
EoE was identified through a computerized search of all 28 pathology departments in Sweden. Thus, we were able to minimize selection bias that is often typical of tertiary referral centers. Moreover, this study was preceded by a careful validation of the diagnosis in 111 individuals with a history of EoE. The positive predictive value (PPV) for EoE was 89% (15), and gastric reflux as a cause of eosinophilic inflammation was ruled out. An 89% PPV is similar to that found for physician-assigned diagnoses (85–95%) in the Swedish National Patient Register (36), and because biopsy is a prerequisite for the diagnosis, the sensitivity for diagnosed EoE in Sweden should be close to 100%. Additional strengths include the completeness of the TPR (16) and the Cause of Death Register (17) to ascertain the primary outcome of death. Data on both EoE and death were prospectively recorded in Swedish registers.
Some limitations of the study should be addressed. First, awareness of EoE in hospitals outside the university system has increased only recently, and because most of our cases were diagnosed after 2010, we had a limited follow-up (mean duration was 4.6 years). This follow-up is less than the only other existing studies that have examined mortality in EoE. In one study, 30 patients were followed for an average of 7.2 years (8) and in another 13 patients were followed for an average of 13.6 years (9). However, these studies only had an estimated total follow-up of roughly 216 and 177 person-years, respectively, which can be compared with a follow-up of 7,400 person-years in our study. Importantly, 42 (2.6%) individuals in our study were actually followed for over 10 years. Still, we acknowledge that our study has not only little information on long-term risk of death beyond 10 years with EoE but also limited power to examine follow-up specific HRs. Other limitations are our lack of data on disease severity and symptoms. However, we found similar mortality HRs in those with and without steroid medications and, therefore, cannot draw any firm conclusions based on risk estimates; medications may also mirror disease activity itself.
In conclusion, in the first nationwide study of more than 1,600 individuals with biopsy-verified EoE, we found no association between EoE and death. The overall low mortality associated with EoE was confirmed after adjusting for factors known to be associated with mortality risk, as well as by minimizing intrafamilial factors through analysis of a large cohort of EoE siblings.
Disclosure statement
Jonas F. Ludvigsson coordinates a study on behalf of the Swedish IBD quality register (SWIBREG). That study has also received funding from the Janssen corporation. The other authors declare that they have no conflicts of interest.
Availability of data and materials
Other researchers can apply for our data through the Swedish National Board of Health and Welfare.
Funding
This study has received funding from Örebro University Hospital and Karolinska Institutet.
Notes on contributors
Lovisa Röjler, MD. Resident Physician at the Department of Pediatrics at Örebro University Hospital, Sweden.
John J. Garber, MD. Gastroenterologist at the Massachusetts General Hospital, and Harvard Medical School, Boston, MA, USA.
Bjorn Roelstraete, PhD. Biostatistician at the Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Marjorie M. Walker, BMBS FRCPA. Professor of Anatomical Pathology at the University of Newcastle, New South Wales, Australia.
Jonas F. Ludvigsson, MD, PhD. Senior Consultant at the Department of Pediatrics at Örebro University Hospital, and a professor of clinical epidemiology at the Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
ORCID
Marjorie M. Walker https://orcid.org/0000-0002-7788-0056
Jonas F Ludvigsson https://orcid.org/0000-0003-1024-5602
References
- 1.Spechler SJ. Speculation as to why the frequency of eosinophilic esophagitis is increasing. Curr Gastroenterol Rep 2018;20:26. doi: 10.1007/s11894-018-0633-x [DOI] [PubMed] [Google Scholar]
- 2.Navarro P, Arias A, Arias-Gonzalez L, Laserna-Mendieta EJ, Ruiz-Ponce M, Lucendo AJ. Systematic review with meta-analysis: the growing incidence and prevalence of eosinophilic oesophagitis in children and adults in population-based studies. Aliment Pharmacol Ther. 2019;49:1116–25. doi: 10.1111/apt.15231 [DOI] [PubMed] [Google Scholar]
- 3.Dellon ES, Jensen ET, Martin CF, Shaheen NJ, Kappelman MD. Prevalence of eosinophilic esophagitis in the United States. Clin Gastroenterol Hepatol. 2014;12:589–96 e1. doi: 10.1016/j.cgh.2013.09.008 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Mansoor E, Cooper GS. The 2010–2015 prevalence of eosinophilic esophagitis in the USA: A population-based study. Dig Dis Sci. 2016;61:2928–34. doi: 10.1007/s10620-016-4204-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Jensen ET, Kappelman MD, Martin CF, Dellon ES. Health-care utilization, costs, and the burden of disease related to eosinophilic esophagitis in the United States. Am J Gastroenterol 2015;110:626–32. doi: 10.1038/ajg.2014.316 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Schoepfer AM, Safroneeva E, Bussmann C, Kuchen T, Portmann S, Simon HU, et al. Delay in diagnosis of eosinophilic esophagitis increases risk for stricture formation in a time-dependent manner. Gastroenterology 2013;145:1230–6 e1-2. doi: 10.1053/j.gastro.2013.08.015 [DOI] [PubMed] [Google Scholar]
- 7.Eluri S, Runge TM, Cotton CC, Burk CM, Wolf WA, Woosley JT, et al. The extremely narrow-caliber esophagus is a treatment-resistant subphenotype of eosinophilic esophagitis. Gastrointest Endosc 2016;83:1142–8. doi: 10.1016/j.gie.2015.11.019 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Straumann A, Spichtin HP, Grize L, Bucher KA, Beglinger C, Simon HU. Natural history of primary eosinophilic esophagitis: a follow-up of 30 adult patients for up to 11.5 years. Gastroenterology 2003;125:1660–9. doi: 10.1053/j.gastro.2003.09.024 [DOI] [PubMed] [Google Scholar]
- 9.Lipka S, Keshishian J, Boyce HW, Estores D, Richter JE. The natural history of steroid-naive eosinophilic esophagitis in adults treated with endoscopic dilation and proton pump inhibitor therapy over a mean duration of nearly 14 years. Gastrointest Endosc 2014;80:592–8. doi: 10.1016/j.gie.2014.02.012 [DOI] [PubMed] [Google Scholar]
- 10.Dellon ES, Gonsalves N, Hirano I, Furuta GT, Liacouras CA, Katzka DA, et al. ACG clinical guideline: evidenced based approach to the diagnosis and management of esophageal eosinophilia and eosinophilic esophagitis (EoE). Am J Gastroenterol 2013;108:679–92; quiz 93. doi: 10.1038/ajg.2013.71 [DOI] [PubMed] [Google Scholar]
- 11.Dellon ES, Liacouras CA, Molina-Infante J, Furuta GT, Spergel JM, Zevit N, et al. Updated international consensus diagnostic criteria for eeosinophilic esophagitis: Proceedings of the AGREE Conference. Gastroenterology 2018;155:1022–33 e10. doi: 10.1053/j.gastro.2018.07.009 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Ridker PM, Cushman M, Stampfer MJ, Tracy RP, Hennekens CH. Inflammation, aspirin, and the risk of cardiovascular disease in apparently healthy men. N Engl J Med 1997;336:973–9. doi: 10.1056/NEJM199704033361401 [DOI] [PubMed] [Google Scholar]
- 13.Kundu JK, Surh YJ. Inflammation: gearing the journey to cancer. Mutat Res. 2008;659:15–30. doi: 10.1016/j.mrrev.2008.03.002 [DOI] [PubMed] [Google Scholar]
- 14.Ludvigsson JF, Lashkariani M. Cohort profile: ESPRESSO (Epidemiology Strengthened by histoPathology Reports in Sweden). Clin Epidemiol. 2019;11:101–14. doi: 10.2147/CLEP.S191914 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Röjler L, Glimberg I, Walker MM, Garber JJ, Ludvigsson JF. Validation of the diagnosis of eosinophilic esophagitis based on histopathology reports in Sweden. Ups J Med Sci. 2021;126. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Ludvigsson JF, Almqvist C, Bonamy AK, Ljung R, Michaelsson K, Neovius M, et al. Registers of the Swedish total population and their use in medical research. Eur J Epidemiol 2016;31:125–36. doi: 10.1007/s10654-016-0117-y [DOI] [PubMed] [Google Scholar]
- 17.Brooke HL, Talback M, Hornblad J, Johansson LA, Ludvigsson JF, Druid H, et al. The Swedish cause of death register. Eur J Epidemiol 2017;32:765–73. doi: 10.1007/s10654-017-0316-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Ludvigsson JF, Svedberg P, Olen O, Bruze G, Neovius M. The longitudinal integrated database for health insurance and labour market studies (LISA) and its use in medical research. Eur J Epidemiol 2019;34:423–37. doi: 10.1007/s10654-019-00511-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Wettermark B, Hammar N, Fored CM, Leimanis A, Otterblad Olausson P, Bergman U, et al. The new Swedish Prescribed Drug Register – opportunities for pharmacoepidemiological research and experience from the first six months. Pharmacoepidemiol Drug Saf. 2007;16:726–35. doi: 10.1002/pds.1294 [DOI] [PubMed] [Google Scholar]
- 20.Ludvigsson JF, Haberg SE, Knudsen GP, Lafolie P, Zoega H, Sarkkola C, et al. Ethical aspects of registry-based research in the Nordic countries. Clin Epidemiol. 2015;7:491–508. doi: 10.2147/CLEP.S90589 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Dellon ES, Hirano I. Epidemiology and natural history of eosinophilic esophagitis. Gastroenterology. 2018;154:319–32 e3. doi: 10.1053/j.gastro.2017.06.067 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.O’Shea KM, Aceves SS, Dellon ES, Gupta SK, Spergel JM, Furuta GT, et al. Pathophysiology of eosinophilic esophagitis. Gastroenterology 2018;154:333–45. doi: 10.1053/j.gastro.2017.06.065 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Straumann A, Conus S, Degen L, Frei C, Bussmann C, Beglinger C, et al. Long-term budesonide maintenance treatment is partially effective for patients with eosinophilic esophagitis. Clin Gastroenterol Hepatol 2011;9:400–9 e1. doi: 10.1016/j.cgh.2011.01.017 [DOI] [PubMed] [Google Scholar]
- 24.Menard-Katcher P, Marks KL, Liacouras CA, Spergel JM, Yang YX, Falk GW. The natural history of eosinophilic oesophagitis in the transition from childhood to adulthood. Aliment Pharmacol Ther 2013;37:114–21. doi: 10.1111/apt.12119 [DOI] [PubMed] [Google Scholar]
- 25.Bohm M, JacobsJW, Jr., Gupta A, Gupta S, Wo JM. Most children with eosinophilic esophagitis have a favorable outcome as young adults. Dis Esophagus 2017;30:1–6. doi: 10.1111/dote.12454 [DOI] [PubMed] [Google Scholar]
- 26.Capucilli P, Hill DA. Allergic comorbidity in eosinophilic esophagitis: mechanistic relevance and clinical implications. Clin Rev Allergy Immunol 2019;57:111–127. doi: 10.1007/s12016-019-08733-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Egeberg A, Skov L, Andersen YMF, Mallbris L, Gislason GH, Silverberg JI, et al. Ten-year mortality is increased after hospitalization for atopic dermatitis compared with the general population, but reduced compared with psoriasis. J Am Acad Dermatol 2017;76:98–105. doi: 10.1016/j.jaad.2016.06.021 [DOI] [PubMed] [Google Scholar]
- 28.Andersen YM, Egeberg A, Gislason GH, Hansen PR, Skov L, Thyssen JP. Risk of myocardial infarction, ischemic stroke, and cardiovascular death in patients with atopic dermatitis. J Allergy Clin Immunol 2016;138:310–2 e3. doi: 10.1016/j.jaci.2016.01.015 [DOI] [PubMed] [Google Scholar]
- 29.Ebmeier S, Thayabaran D, Braithwaite I, Benamara C, Weatherall M, Beasley R. Trends in international asthma mortality: analysis of data from the WHO Mortality Database from 46 countries (1993–2012). Lancet 2017;390:935–45. doi: 10.1016/S0140-6736(17)31448-4 [DOI] [PubMed] [Google Scholar]
- 30.Syed A, Maradey-Romero C, Fass R. The relationship between eosinophilic esophagitis and esophageal cancer. Dis Esophagus 2017;30:1–5. doi: 10.1093/dote/dox050 [DOI] [PubMed] [Google Scholar]
- 31.Spechler SJ. Barrett esophagus and risk of esophageal cancer: a clinical review. JAMA 2013;310:627–36. doi: 10.1001/jama.2013.226450 [DOI] [PubMed] [Google Scholar]
- 32.Burke ZD, Tosh D. Barrett’s metaplasia as a paradigm for understanding the development of cancer. Curr Opin Genet Dev 2012;22:494–9. doi: 10.1016/j.gde.2012.08.001 [DOI] [PubMed] [Google Scholar]
- 33.Molina-Infante J, Prados-Manzano R, Gonzalez-Cordero PL. The role of proton pump inhibitor therapy in the management of eosinophilic esophagitis. Expert Rev Clin Immunol 2016;12:945–52. doi: 10.1080/1744666X.2016.1178574 [DOI] [PubMed] [Google Scholar]
- 34.Molina-Infante J, Bredenoord AJ, Cheng E, Dellon ES, Furuta GT, Gupta SK, et al. Proton pump inhibitor-responsive oesophageal eosinophilia: an entity challenging current diagnostic criteria for eosinophilic oesophagitis. Gut 2016;65:524–31. doi: 10.1136/gutjnl-2015-310991 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Jensen ET, Kuhl JT, Martin LJ, Langefeld CD, Dellon ES, Rothenberg ME. Early-life environmental exposures interact with genetic susceptibility variants in pediatric patients with eosinophilic esophagitis. J Allergy Clin Immunol 2018;141:632–7 e5. doi: 10.1016/j.jaci.2017.07.010 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Ludvigsson JF, Andersson E, Ekbom A, Feychting M, Kim JL, Reuterwall C, et al. External review and validation of the Swedish national inpatient register. BMC Public Health 2011;11:450. doi: 10.1186/1471-2458-11-450 [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
Other researchers can apply for our data through the Swedish National Board of Health and Welfare.