Anaphylaxis triggers in a large tertiary care hospital in Qatar: a retrospective study

Abstract

Background

Anaphylaxis is a serious allergic disease that may lead to death if not immediately recognized and treated. Triggers of anaphylaxis including food, drugs, and insect stings can vary widely. The incidence of anaphylaxis seems to be affected by age, sex, atopy, and geographic location. This study aims to examine the common triggers of anaphylaxis in Qatar.

Methods

A total of 1068 electronic medical records were audited using power chart system: 446 from the medical coding system of anaphylaxis and 622 from the epinephrine auto-injectors (EAIs) dispensed during January 2012–December 2017.

Results

Of 1068 patients, 574 (53.5%) had anaphylaxis; male to female ratio was 1.2, and 300 patients (77.9%) were less than 10 years old. The common triggers were food (n = 316, 55.0%), insect stings (n = 161, 28.0%), and drugs (n = 103, 17.9%). Common anaphylaxis food triggers were nuts (n = 173, 30.1%), eggs (n = 89, 15.5%), and seafood (n = 72, 12.5%), and common anaphylaxis medication triggers were antibiotics (n = 49, 8.5%) and nonsteroidal anti-inflammatory drugs (n = 30, 5.2%). Interestingly, 135 anaphylactic patients (23.5%) were due to black ant stings. The anaphylaxis triggers varied significantly between children and adults. Among children (less than 10 years), three quarters of the events were triggered by food (223, 74.3%) while among adults (20–55 years), insect stings (n = 59, 43.0%) and drugs (n = 44, 32.0%) were dominant.

Discussion

This is the first national study stratifying anaphylaxis triggers among different age groups in Qatar. This study will serve as a guide for clinical practice in allergy clinics in Qatar and will help to assess future trends of anaphylaxis in Qatar.

Electronic supplementary material

The online version of this article (10.1186/s40413-018-0200-9) contains supplementary material, which is available to authorized users.

Background

Anaphylaxis is a serious systemic allergic reaction that is rapid in onset and may be fatal if not immediately recognized and treated [1–3]. Triggers of anaphylaxis vary widely and include food, drugs, and insect stings. Once triggered, the disease manifests itself by compromising the function of multiple organs, including skin (90%), respiratory (70%), gastrointestinal (30–45%), cardiovascular (35%) and central nervous system (10–15%) [2, 4]. Personal predisposition and family history of atopy usually worsen the course of anaphylaxis in affected subjects [2–4].

Although it is difficult to characterize anaphylaxis incidence due to its transient acute nature and under-recognition especially in case of cutaneous symptoms absence (20% of the cases) [3, 5, 6]. Several studies from USA, UK, and Australia suggested that the incidence of anaphylaxis is on a gradual rise over the last two decades [7–14]. To estimate the incidence, prevalence, and triggers, scientists have used different methodologies including patients’ case reports [15–17], international medical coding systems [7–9, 18–24], hospital admission rates [11, 13, 25, 26], public surveys and epinephrine dispense records [10, 12, 21, 25, 27, 28]. These studies have demonstrated that distribution of anaphylaxis tends to fluctuate based on age, gender, race, geographical residence, and socioeconomic status of involved subjects.

Anaphylaxis was described in a few case-reports in Qatar [15, 29–31], however, its triggers have not been thoroughly studied. The aim of this study is to retrospectively estimate and describe the distribution of anaphylaxis triggers in different age and gender groups in Qatar from January 2012 to December 2016.

Method

Data collection

Between January 2012–December 2016, electronic medical records were reviewed retrospectively using Cerner power chart system. This includes patients admitted and registered in Cerner power chart system with the International Classification of Diseases 10th revision-Australian Modification (ICD10-AM) and discharged with diagnostic codes of anaphylaxis: T 78.0 (anaphylactic shock due to adverse food reactions), T 78.1 (other adverse food reactions, not elsewhere classified), T78.2 (anaphylactic shock, unspecified), T80.5 (anaphylactic shock due to serum), or T88.6 (anaphylactic shock due to adverse effect of correct drug or medication properly administered) and patients who had Epinephrine Auto-Injector (EAIs) dispensed from Hamad General Hospital pharmacy (Fig. 1).

Fig. 1.

Flowchart of the study design

Sample selection

The study was approved by Hamad Medical Corporation (HMC) local ethics committee (IRB 17122/17). Anaphylaxis was defined based on physician diagnosis and the clinical protocols of HMC that are in accordance with the clinical criteria of anaphylaxis guidelines [32]. Our inclusion criteria patients with anaphylaxis were either one of the following: (1) acute onset of illness (minutes to several hours) with involvement of the skin, mucosal tissue or both, and at least respiratory compromise or reduced blood pressure; (2) involvement of two or more: skin-mucosal, respiratory, gastrointestinal and/ or hypotension (minutes to several hours) after exposure to a likely allergen; or (3) reduced blood pressure after exposure to a known allergen (minutes to several hours). Generalized Allergic Reaction (GAR) was identified as patients who were exposed to triggers that resulted in symptoms of allergic reaction without fulfilling the clinical criteria of anaphylaxis. Patients with GAR may have underlying allergic diseases such as asthma, atopic dermatitis, urticaria, angioedema or allergic rhinitis. Anaphylaxis and GAR definitions were applied to the records that were reviewed. Demographic information and clinical diagnosis of patients were retrieved, reviewed, and documented anonymously, and then sub-categorized to be analyzed based on gender, age, history of atopy, symptoms, and triggers.

Triggers

Triggers were defined as etiological agents that may lead to either GAR or anaphylaxis [1, 3] . Triggers were classified into food, drugs, insect stings, or idiopathic factors. All the triggers of allergic reactions and anaphylaxis were identified based on patient’s history of exposure to the triggers and the circumstances accompanying the reactions that have been recognized and confirmed by the treating physician. These details were documented by the treating physicians in the electronic medical records. When possible triggers of the reactions were not clearly recognized by the patients or physicians, they were classified to be idiopathic.

Statistical analysis

Data analysis was performed using Statistical Package for Social Sciences (SPSS Chicago IL, USA). Groups were compared using chi-square test and the Fisher’s exact test (two-tailed) replaced the chi-square in case of small sample size, where the expected frequency is less than 5 in any of the cells. The level where P <  0.05 (two-tailed) was considered as the cut-off for significance.

Results

Characteristics of the study population

Out of 1068 electronic medical records audited using Cerner power chart system; 446 inpatients registered with ICD-10 codes of anaphylaxis and 622 outpatients had EAIs dispensed. Five hundred seventy-four patients (53.5%) had anaphylaxis; 315 (54.8%) were males and 300 (52.2%) were children less than 10 years old, 251 patients (43.7%) were Qatari, 162 patients (28.2%) were non-Qatari Arabs, and 118 patients (20.5%) were Asian. Personal history of asthma, atopic dermatitis, urticaria and allergic rhinitis were determined in 208 (36.2%), 195 (33.9%), 179 (31.1%), and 81 (14.1%) respectively. One-fifth of the study population had a positive family history of atopy (Table 1).

Table 1.

Characteristics of the study population

Characteristic	Total N = 1068 n (%)	Anaphylaxis N = 574 n (%)	GAR N = 132 n (%)	P-value
Age (Years)
< 10	603 (56.3)	300 (52.2)	85 (64.3)	0.009a
10–19	210 (19.7)	109 (18.9)	22 (16.6)
20–55	209 (19.6)	137 (23.8)	21 (15.9)
>. 55	46 (4.3)	28 (4.8)	4 (3.0)
Gender
Male	612 (57.3)	315 (54.8)	83 (62.8)	0.095
Female	456 (42.7)	259 (45.2)	49 (37.1)
Nationality, N = 1067b
Qatari	438 (41.0)	251 (43.7)	63 (47.7)	0.009
Non-Qatari, Arab	303 (28.4)	162 (28.2)	25 (18.9)
Asian	228 (21.4)	118 (20.5)	24 (18.1)
Others	98 (9.2)	42 (7.3)	20 (15.1)
Personal History
Asthma	357 (36.4)	208 (36.2)	68 (51.5)	<  0.001
Atopic dermatitis	326 (33.2)	195 (33.9)	66 (50)	<  0.001
Urticaria/ angioedema	254 (25.9)	179 (31.1)	36 (27.2)	0.485
Allergic rhinitis	142 (14.5)	81 (14.1)	30 (22.7)	0.009
Family History, N = 123
Atopy c	70 (56.9)	58 (10.1)	8 (6.1)	0.989
Anaphylaxis	6 (4.9)	5 (0.8)	1 (0.7)
Consanguinity, N = 33	30 (90.9)	25 (4.3)	2 (1.5)	1.000*

GAR generalized allergic reactions

^a Chi-square for trend (linear by linear association)

^b One patient had no listed nationality in the system

^c Atopy includes asthma, atopic dermatitis, urticaria and allergic rhinitis

*P-value is for Fischer test (exact significant 2-sided)

Triggers

Overall, triggers were not identified in 44 cases (7.6%) of anaphylaxis and five cases (3.7%) of GAR. Food accounted for 403 (37.7%), followed by insects’ stings 184 (17.2%) and drugs 123 (11.5%). The common triggers of anaphylaxis are detailed in Table 2. Other triggers that contributed to anaphylaxis were cold (3, 0.5%), latex (2, 0.3%), contrast media (2, 0.3%), exercises (1, 0.1%) and food-dependent exercise-induced anaphylaxis (1, 0.1%) (Table 2).

Table 2.

Causative triggers of symptoms in the study population

Causative triggers	Total N = 1068 n (%)	Anaphylaxis N = 574 n (%)	GAR N = 132 n (%)	P-value
Food (All)	403 (37.7)	316 (55.0)	87 (65.9)	<  0.001
Nuts a	232 (21.7)	173 (30.1)	59 (44.6)	< 0.001
Egg	113 (10.5)	89 (15.5)	24 (18.1)	0.171
Seafood	93 (8.7)	72 (12.5)	21 (15.9)	0.111
Peanuts	92 (8.6)	71 (12.3)	21 (15.9)	0.100
Cow’s milk	77 (7.2)	61 (10.6)	16 (12.1)	0.326
Sesame seeds	65 (6.1)	50 (8.7)	15 (11.3)	0.158
Wheat	38 (3.5)	35 (6.1)	3 (2.2)	0.130
Other food b	150 (14.0)	126 (21.9)	24 (18.1)	0.933
Insects’ stings (All)	184 (17.2)	161 (28.0)	23 (17.4)	0.122
Black ant	153 (14.3)	135 (23.5)	18 (13.6)	0.101
Bee	3 (0.2)	3 (0.5)	0 (0.0)	1.000*
Wasp	1 (0.1)	1 (0.1)	0 (0.0)	1.000*
Unspecified	29 (2.7)	24 (4.1)	5 (3.7)	0.798*
Drugs (All)	123 (11.5)	103 (17.9)	20 (16.2)	0.978
Antibiotics	58 (5.4)	49 (8.5)	9 (6.8)	0.883
Augmentin	19 (1.7)	16 (2.7)	3 (2.2)	1.000*
Penicillin	14 (1.3)	11 (1.9)	3 (2.2)	0.484*
Ceftriaxone	6 (0.5)	6 (1.0)	0 (0.0)	0.596*
Amoxicillin	6 (0.5)	5 (0.8)	1 (0.7)	1.000*
Other antibiotics	22 (2.0)	19 (3.3)	3 (2.2)	1.000*
NSAID c	36 (3.3)	30 (5.2)	6 (4.5)	0.938
Ibuprofen	28 (2.6)	23 (4.0)	5 (3.7)	0.794*
Paracetamol	8 (0.7)	8 (1.3)	0 (0.0)	0.366*
Diclofenac	8 (0.7)	7 (1.2)	1 (0.7)	1.000*
Aspirin	3 (0.3)	3 (0.5)	0 (0.0)	1.000*
Other NSAID	4 (0.3)	4 (0.6)	0 (0.0)	1.000*
IvIg d	4 (0.3)	4 (0.6)	0 (0.0)	1.000*
Vaccines	3 (0.3)	3 (0.5)	0 (0.0)	1.000*
Other drugs	41 (3.8)	35 (6.1)	6 (4.5)	0.779
Idiopathic (All)	49 (4.5)	44 (7.6)	5 (3.7)	0.245

^aNuts included cashew, pistachio, tree nuts, coconuts and hazelnuts excluding peanuts which has been counted separately

^bOther food included chickpeas, bean, lentil, strawberry, banana, kiwi, mango, chicken, beef, pineapple, apple, and watermelon

^cNSAID non-steroidal anti-inflammatory drugs

^dIvIg Intravenous immunoglobulin

*P-value is for Fischer test (exact significant 2-sided)

Age and gender variation in anaphylaxis

Insects’ stings, food, and drug were significantly different between the different age groups (P <  0.001), while only the food and insects’ stings showed significance among gender groups (P <  0.001). The nationality of patients with anaphylaxis showed no such significant difference in relation to anaphylaxis triggers (Additional file 1: Table S1). The distribution of anaphylaxis and GAR among different age and gender groups is shown in Fig. 2.

Fig. 2.

Distribution of anaphylaxis pattern among different age and gender groups. a Food triggers, b Insect stings triggers, c Drug triggers, d Idiopathic triggers

Discussion

This study stratifies anaphylaxis triggers among different age and gender groups and provides a profile of the common allergens that trigger anaphylaxis, to alert clinicians and serve as a baseline to assess future trends of anaphylaxis triggers in Qatar. We were able to identify 574 cases of anaphylaxis out of 1068 records. Food was the leading trigger of anaphylaxis in children regardless of gender. Anaphylaxis induced by drugs and insects’ stings was more common among female adults (Fig. 2). Interestingly, 23.5% of patients had anaphylaxis by black ants.

Our data showed a predominance of anaphylaxis among pediatrics (n = 300, 52.2%), which is reasonable since at a single time point anaphylaxis is initially diagnosed at childhood, and relevant triggers avoidance is recommended as preventive measures of a long-term action plan and risk reduction. However, such avoidance measures are neither easily nor strictly followed by children of this age group [16, 17, 33].

Anaphylaxis was common in two age/gender groups: male children (n = 224, 39.0%) and female adults (n = 114, 19.8%) (Fig. 2), which is consistent with other findings reported by Alshami et al. where they found an incidence of anaphylaxis in pediatric emergency centers of 13.3 per 100,000 visits with 69% of patients being males [34], and Mehdi et al. showed that the incidence among adults was 16.5 per 100,000 visits with 78% being females [35]. Several studies in different ethnic groups showed similar age and gender distribution of anaphylaxis among different age/gender groups; for example, an epidemiological study based on measuring the anaphylaxis rates in emergency department visits in hospitals across Florida, USA, reported that the highest anaphylaxis incidence rate was among the youngest males (8.2/100,000 visits) and the adult females (10.9/100,000 visits) [20]. Similar to this, findings from the Rochester epidemiology project from 1990 through 2000 showed that age-specific incidence rate of anaphylaxis was the highest for ages 0–19 years [8].

In our patients’ cohort, we observed that the association between the development of anaphylaxis compared to GAR and the national origin were statistically significant (p-value = 0.009) (Table 1). For instance, “Non-Qatari Arabs” had relatively higher prevalence of anaphylaxis compared to GAR while “Others” such as European, American and African had relatively lower prevalence of anaphylaxis compared to GAR. Such differences in the rates of anaphylaxis compared to GAR associated with ethnic and national groups can be explained by a number of factors, including genetic and environmental exposure. Qatar is a melting pot of hundreds of nationalities of migrant workers [36] that may have different genetic predisposition to allergy and anaphylaxis. In addition to potential differences in the genetic make-up, different life style and dietary patterns as well as differential prevalence of illnesses and use of varying medications may be some of the factors that may or may not contribute to such differences [18, 23]. In general, anaphylaxis was common [7–9, 20, 21], more associated with repeated use of epinephrine [27] and more fatal [23] among Caucasians compared to Black, Latino/Hispanic and Asian ethnicities. In contrast, Mahdavinia et al. (2017) reported that Caucasians had a lower rate of food allergy associated anaphylaxis than African American and Hispanic children [37]. Additionally, Buka et al. (2015) reported that Caucasians had less incidence, and were less likely to present with severe anaphylactic symptoms than South Asian British children living in Birmingham [38].

Personal history of atopy for asthma (n = 208, p <  0.001), atopic dermatitis (n = 195, p <  0.001) and allergic rhinitis (n = 81, p = 0.009) were noted among patients with anaphylaxis in Qatar (Table 1), and 56.9% cases had positive family history (Table 1). Although other studies showed no such significant association between atopy and anaphylaxis [39, 40], atopy was frequently visualized as a risk factor that might worsen the clinical outcome of anaphylaxis [8, 18, 19, 21, 24, 41–43]. However, several studies stated that anaphylaxis was common among patients with atopic diseases. In comparison to our study, different distribution of atopic diseases was observed [8, 18, 19, 21, 24, 41–43].

Our results showed that regardless of gender, food was the culprit for anaphylaxis in children less than 10 years (Fig. 2a). The major causative triggers of food-induced anaphylaxis in Qatar were nuts and eggs, a finding that was consistent with a Saudi finding reported in 2015 [14]. Peanuts, a major trigger of food-related anaphylaxis in the United States [7, 9, 22], is ranked in the fourth position after seafood in Qatar. In a prospective cohort study conducted in Qatar from 2007 to 2010, anaphylaxis induced by cow’s milk proteins (CMP) was found in 10 children out of 38 allergic subjects and suggested camel milk as a safer alternative choice after being experimentally tested [30, 31]. With a larger study population, anaphylaxis induced by cow’s milk was accounted for 61 (10.6%) from 2012 to 2016. In comparison, the prevalence of CMP anaphylaxis resulted in 6–9% of children hospital and emergency admission in the USA [7, 19, 21] and 10% in the UK [44]. CMP anaphylaxis accounted for 8 fatalities in UK children during the period from 1992 to 2012 [13]. Our data showed that sesame seed accounted for 8.7% of anaphylaxis cases in Qatar (Table 2). However, as a global allergen, sesame seed is affecting approximately 0.1% of North American population and is the third common food allergen in Israel [45]. In Lebanon, a cross-sectional study showed that allergic reactions triggered by sesame seed were of severe grade and manifested mainly in the form of anaphylaxis [46]. This study suggested that the sesame seed is the “Middle Eastern” peanut [46].

Anaphylaxis and GAR attributable to Hymenoptera stings in our study demonstrated predominance in female adults (n = 50, 45.9%) and male children (n = 30, 40.0%) (Fig. 1b). Interestingly, 135 anaphylactic patients (23.5%) developed anaphylaxis by the sting of black ant which is a widespread ant in tropical Africa and the Middle East and is a native insect in Arabian Desert countries, including Qatar [47, 48]. Allergic reactions due to black ant stings range from pain with local itching at the sting site to severe anaphylactic shock. AlAnazi et al. (2009) showed that the diversity of manifestation and human response to black ant stings in four cases encountered in Al Riyadh, the capital city of Saudi Arabia, and three patients were adult females [49]. In contrast to our findings, lower prevalence of black ant induced anaphylaxis was reported in Saudi Arabia (3.2%) [14], and Singapore (12.9%) [50]. The unreported incidence of black Samsum ant induced anaphylaxis was recognized in Iran where most stings result in mild allergic reactions [51]. However, in United Arab Emirates, 4 deaths were recorded after the sting of this ant [52]. Several studies attribute diversity of symptoms to the antigenicity variation of black ants’ toxin composition according to geographical regions [51, 53]. Anaphylaxis in Najran, a city in southwestern Saudi Arabia, was triggered by a different species of black ant, Solenopsis richteri, in non-Saudi expatriates (1997–1999) [54]. A Turkish retrospective review defined prevalence of Hymenoptera stings anaphylaxis among adult patients, however, the causative triggers were mainly honey bees and different wasp species [55]. In contrary to Qatar, the later Turkish study showed a predominance of Hymenoptera induced anaphylaxis among male adults (57.1%) [55]. In light of the absence of studies published about black Samsum ant abundance, distribution, and its toxin antigenicity in Qatar, our results flag it as a public health hazard in Qatar owing to its strong association with anaphylaxis.

A key strength of this work includes the fact that Hamad General Hospital, a member of Hamad Medical Corporation, is the only medical facility that dispenses EAIs in Qatar. Therefore, using dispensed (EAI) records of outpatients in combination with medical coding system (ICD-10 AM) of anaphylaxis for inpatients would be an accurate estimation of the prevalence of anaphylaxis in Qatar. Although, EAI dispense records were available for 1 year only (January – December 2016), EAIs as a refilled drug included dispense records of previous years.

Conclusion

Our study provides new data regarding the frequency of anaphylaxis in our geographical region; however, it is prone to reporting bias due to its retrospective nature and reliance on physician documentation. Besides that, we had 364 medical records (34.1%) with missing data or incomplete charts and we cannot assume them as being negative since there is the possibility of underreporting by physicians. Therefore, the presenting data should be interpreted with caution stating that “within the boundary of available data” registered in Cerner power chart system and out of 1068 subjects, 574 (53.5%) patients had a definite diagnosis of anaphylaxis (2012–2016). Further studies are needed to confirm the medical diagnosis of the missing cases using another method. This study will serve as a platform for clinicians in the allergy clinics in Qatar to improve patient care and for further epidemiological studies for understanding more about the prevalence of anaphylaxis in Qatar. Our data might provide the baseline for assessing future trends. We would recommend integrating entomology, bioecology and medicine points of view to study black ant anaphylaxis in Qatar.

Abbreviations

CMP

Cow’s milk proteins

EAIs

Epinephrine Auto-injectors

GAR

Generalized Allergic Reaction

HMC

Hamad Medical Corporation

ICD-10 AM

International Classification of Diseases 10th revision-Australian Modification

IVIG

Intravenous Immunoglobulin

NSAID

Non-Steroidal Anti-Inflammatory Drugs

SPSS

Statistical Package for Social Sciences

Authors’ contributions

We have participated sufficiently in the intellectual content, conception and design of this work or the analysis and interpretation of the data (when applicable), as well as the writing of the manuscript, to take public responsibility for it and have agreed to have our name listed as contributors. Mainly, TA collected data of EAIs and ICD-10 codes, analyzed the data and wrote the maniscript as part of her master degree thesis, MAA and TA designed the overall study and was a mjor contributor in the manscript, LT guided the statistical analysis of the data and contributed to review of the manuscribt, RK analyzed the data using SPSS. SK reviewed collected data from power chart system for accuracy and helped in the final manuscribt review, WE retrieved EAIs dispense list, reviewed collected data and helped in the final manuscribt review, AND HZ H and HMM reviewed the maniscript critically several times and helped during most of the steps. Please refere to above contribution table for further details of each contributor. All authors read and approved the final manuscript.

Ethics approval and consent to participate

Ethical Approval: This retrospective study was ethically approved by the IRB committee of Medical Research Centre- Hamad Medical Corporation (IRB-HMC) (IRB#17122/17) with expedited status. For more information, kindly contact irb@hamad.qa, Tel: 00974–44,390,614.

Consent to participate

The study was a retrospective study. IRB-HMC approved the study for waiver of consent; provided that the methods used to protect patient confidentiality were judged to be adequate.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

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