P061 Kawasaki disease: a case series from a tertiary Hospital in Kenya
Bibliographic record
Abstract
Abstract Background Kawasaki disease (kDa) is a childhood vasculitides that affects small and medium-sized arteries. It is self-limiting but when left untreated can cause coronary artery aneurysms in about 25% of children1. The diagnosis is clinical and is made with the criteria of fever for at least five days, and at least four out of five other clinical signs: bilateral non-exudative conjunctivitis, oral mucous membrane changes, peripheral extremity changes, polymorphous rash, and cervical lymphadenopathy. Incomplete kDa is diagnosed with fever for at least five days and at least 2–3 of the principal signs, with suggestive lab investigations and lack of an alternative diagnosis1. kDa is named after Dr Tomisaku Kawasaki who first described it in 1967 in Japan2. The highest incidence of kDa continues to be reported among Asian children, with an incidence rate of 264.8 per 100 000 population aged 0–4 years as per Japan’s latest nationwide survey3. In Africa, the true incidence is unknown but several case reports have been published. A 2016 paper by Gorrab et al.4 found that the annualized incidence rate of kDa in the Maghreb children living in Quebec (18.49/year/100 000 children under 5 years of age) was 4–12 times higher than reported in their countries of origin- Tunisia, Morocco, and Algeria (0.95, 4.52, and 3.15, respectively) suggesting a likelihood of under-diagnosis. This case series sought to highlight the characteristics, presentation, and management of patients diagnosed with kDa in a tertiary hospital in Kenya. Methods This was a retrospective cross-sectional study carried out by reviewing the charts of all the patients with a discharge diagnosis of kDa from January 2013 to December 2017 at the Aga Khan University Hospital, Nairobi. Their demographics, presentation, diagnostic work-up, and management are reported. Analysis was done by descriptive statistics using the Microsoft Excel 2016 Application. Results A total of 15 cases were identified and the patient characteristics and presentation are as tabulated below: In addition to elevated inflammatory markers (C reactive protein and/or Erythrocyte Sedimentation Rate), a significant number of the patients also had sterile pyuria (9/9), hypoalbuminemia (8/10), thrombocytosis (8/15), and anaemia (11/15). Nine out of eleven had negative blood cultures. Fourteen out of the fifteen patients had echocardiograms done during admission. Only one patient was found to have abnormal findings of bilaterally dilated coronaries arteries. Five patients had at least one documented repeat echocardiogram. Fourteen patients received Intravenous Immunoglobulin (IVIG), with 13 of them responding to treatment. No adverse effects were reported after treatment. One patient did not improve and needed a second dose of IVIG and intravenous methylprednisone (30 mg/kg). Fourteen patients received aspirin but dosing varied from high (80–90 mg/kg/day) to moderate (30–50 mg/kg/day) to low dose (3 mg/kg/day). One patient on high-dose aspirin was noted to have developed symptoms consistent with aspirin-induced bronchospasm and was changed to low dose. Conclusion This case series highlights the presence of kDa in the Kenyan pediatric population with patient characteristics similar to what is reported globally. Diagnosis was made after a mean of about 7 days, possibly due to low awareness of the disease among healthcare professionals. Management with IVIG in most cases was successful but more guidance is needed around the use of steroids and the dosing of aspirin.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".