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Clinical features of Multisystem Inflammatory Syndrome in Children (MIS-C) associated with COVID-19 are nonspecific. In this retrospective cohort study of 39 patients evaluated for MIS-C, 11 had non-SARS-CoV-2 infections, 3 of whom were also diagnosed with MIS-C. Clinical features were similar in patients with MIS-C and patients with non-SARS-CoV-2 infections. Clinicians should consider non-SARS-CoV-2 infections in patients undergoing MIS-C evaluation.

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Background: Clinical presentation for extrapulmonary tuberculosis (EPTB) in children can be variable and nonspecific, leading to delayed diagnosis, disease and death. We describe the age-specific clinical presentation and identify risk factors for EPTB among children in Pakistan. Methods: In 2015–2016 in 4 facilities in Sindh, Pakistan, children were diagnosed with TB either through bacteriologic confirmation or clinical-radiologic criteria. EPTB comprised any form of TB disease that did not involve the lungs. Among children with TB disease, we report demographics, clinical characteristics and symptoms, family medical history and diagnostic test results for children with and without EPTB. We conduct age-specific regression analyses to identify factors associated with an EPTB diagnosis among children age 0–4, 5–9 and 10–14 years. Results: A total of 1163 children were diagnosed with TB disease, of which 157 (13.5%) had EPTB. Of those, 46 (29.3%) were 0–4, 53 (33.8%) were 5–9 and 58 (36.9%) were 10–14 years old. Of children with EPTB, the most frequently reported sites were lymph node (113, 72.4%) and abdominal (31, 19.9%). Weight loss was associated with an increased risk of EPTB in the 0–4-year-old (adjusted odds ratio: 2.80, 95% confidence interval: 1.05–7.47) and 10–14-year-old (adjusted odds ratio: 2.79, 95% confidence interval: 1.28–6.07) groups, and the presence of cough was associated with a decreased risk of EPTB. Conclusions: This study provides new knowledge about age-specific clinical presentation and risk factors of EPTB in children in Pakistan. Our results can help to optimize clinical algorithms designed to achieve a timely diagnosis in children with EPTB along with improved treatment outcomes.