This prospective, cross-sectional study was conducted at the Pediatric Department of Imam Ali ibn Abi Talib Hospital, Zahedan, Iran, from January 1 to December 31, 2023. The study population included children presenting with skin rash manifestations suspected to be related to drug allergies. Children of all ages who visited the pediatric department with skin rashes potentially linked to drug hypersensitivity were consecutively recruited.
A total of 245 children were screened, and 210 who met the inclusion criteria were enrolled. This was an observational study without a separate control group; comparisons were made within the cohort. Patients with rashes of confirmed non-drug causes were excluded. These exclusions comprised patients with signs and symptoms indicative of classic viral exanthems (e.g., measles, rubella, varicella, or hand-foot-mouth disease), bacterial infections (e.g., scarlet fever), or systemic inflammatory illnesses (e.g., Kawasaki disease). Exclusion was based on a combination of clinical presentation, laboratory findings (such as leukocyte count, C-reactive protein, and specific serological or polymerase chain reaction (PCR) tests where clinically indicated), and, when available, response to specific non-drug therapies.
A detailed history was obtained from patients and/or their parents or guardians using a structured questionnaire. This included demographic information (age, gender), history of drug exposure preceding rash onset within 4 weeks, types of medications taken (including specific inquiries about herbal and complementary products), timing and characteristics of rash onset, associated symptoms such as fever, and any prior personal or family history of drug allergies. Physical examinations were conducted by a trained pediatrician to document the type and distribution of skin lesions, including urticaria, maculopapular rash, angioedema, purpura, and other cutaneous signs.
The diagnosis of a drug-induced rash was primarily based on a detailed clinical history and a thorough physical examination to establish a temporal association between drug intake and rash onset. To address the critical issue of excluding mimicking conditions, particularly viral exanthems, we implemented a rigorous clinical protocol. Patients with signs and symptoms highly suggestive of a common childhood infection (e.g., high fever preceding the rash, prodromal symptoms, classic presentations of measles, varicella, or hand-foot-mouth disease, or presence of Koplik's spots) were excluded. Furthermore, for cases where the clinical picture was ambiguous, necessary laboratory investigations (such as complete blood count and C-reactive protein) and/or specific serological or PCR tests for suspected pathogens were performed to rule out an infectious cause.
Causality was assessed using the Naranjo Adverse Drug Reaction Probability Scale (
11). Regarding confirmatory allergy tests, gold-standard methods such as drug provocation tests were not performed in this study due to ethical considerations. Similarly, skin tests and in vitro tests were not routinely available or validated for all drugs. Reactions were categorized as immediate (onset within 1 hour to 6 hours after drug intake) or non-immediate (onset more than 6 hours after drug intake). In cases of polypharmacy, the culprit drug was identified based on the detailed clinical history and the temporal association between drug intake and rash onset.
The study protocol was reviewed and approved by the Ethics Committee of Zahedan University of Medical Sciences (approval code:
IR.ZAUMS.REC.1402.472). Written informed consent was obtained from parents or legal guardians before inclusion.
Data were entered and analyzed using IBM SPSS Statistics for Windows, Version 26.0. Descriptive statistics, including frequencies and percentages for categorical variables and means with standard deviations for continuous variables, were computed. Inferential analyses were performed using the chi-square test (or Fisher's exact test where appropriate) to compare the distribution of drug types and rash manifestations across demographic groups. A P-value of less than 0.05 was considered statistically significant. No imputation was performed for missing data, as all analyzed cases had complete datasets.