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Identifying Children at Risk of Malignant Bordetella pertussis Infection
Anusha Ganeshalingham1, Brent McSharry, Brian Anderson
11Pediatric Intensive Care Unit, Starship Children's Hospital, Auckland, New Zealand.2Department of General Pediatrics, Starship Children's Hospital, Auckland, New Zealand.
Insights
Malignant pertussis in children can be predicted using vital signs and white cell counts within 48 hours of hospital admission. Early identification aids timely PICU referral and potential investigational therapy trials.
Area of Science:
- Pediatric Infectious Diseases
- Critical Care Medicine
- Clinical Diagnostics
Background:
- Pertussis, a highly contagious respiratory infection, can present with severe, life-threatening complications in infants and children.
- Malignant pertussis is a severe form characterized by specific clinical and laboratory findings, often requiring intensive care.
Purpose of the Study:
- To identify clinical and laboratory factors that predict the development of malignant pertussis in children.
- To establish early warning signs for malignant pertussis within 48 hours of hospital presentation.
Main Methods:
- Retrospective review of medical records of 152 children diagnosed with pertussis between January 2003 and August 2013.
- Analysis of vital signs (heart rate) and white blood cell characteristics (total WBC count, neutrophil-to-lymphocyte ratio, absolute neutrophil and lymphocyte counts) within 48 hours of hospital admission.
- Receiver-operator characteristic (ROC) curve analysis to determine the predictive accuracy of identified factors.
Main Results:
- Eleven out of 152 children had malignant pertussis.
- Maximum heart rate > 180 beats/min (AUC 0.88) and absolute neutrophil count (AUC 0.92) were strong predictors.
- A multivariate model including heart rate > 180 beats/min, total WBC count > 25×10/L, and neutrophil-to-lymphocyte ratio > 1.0 achieved an AUC of 0.96 for predicting malignant pertussis.
Conclusions:
- Predictive clinical and laboratory markers for malignant pertussis are identifiable within 48 hours of hospital presentation.
- Early identification of at-risk children can facilitate prompt transfer to a Pediatric Intensive Care Unit (PICU).
- This early recognition may enable timely initiation of advanced life support and enrollment in investigational treatment trials.
Objective:
To identify factors associated with malignant pertussis.
Design:
A retrospective case notes review from January 2003 to August 2013. Area under the receiver-operator characteristic curve was used to determine how well vital sign and white cell characteristics within 48 hours of hospital presentation identified children with malignant pertussis.
Setting:
The national children's hospital in Auckland, New Zealand.
Patients:
One hundred fifty-two children with pertussis.
Measurements And Main Results:
There were 152 children with confirmed pertussis identified, including 11 children with malignant pertussis. The area under the receiver-operator characteristic curve was 0.88 (95% CI, 0.78-0.97) for maximum heart rate. The optimal cut-point was 180 beats/min, which predicted malignant pertussis with a sensitivity of 73% and a specificity of 91%. The area under the receiver-operator characteristic curve was 0.92 (95% CI, 0.81-1.0) for absolute neutrophil count, 0.85 (95% CI, 0.71-0.99) for total WBC count, 0.80 (95% CI, 0.63-0.96) for neutrophil-to-lymphocyte ratio, and 0.77 (95% CI, 0.58-0.92) for absolute lymphocyte count. All children with malignant pertussis had one or more of heart rate greater than 180 beats/min, total WBC count greater than 25 × 10/L, and neutrophil-to-lymphocyte ratio greater than 1.0 with an area under the receiver-operator characteristic curve of 0.96 (95% CI, 0.91-1.0) for a multivariate model that included these three variables.
Conclusions:
Clinical predictors of malignant pertussis are identifiable within 48 hours of hospital presentation. Early recognition of children at risk of malignant pertussis may facilitate early referral to a PICU for advanced life support and selection for trials of investigational therapies.
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