Carrie Daymont

Development of Heart and Respiratory Rate Percentile Curves for Hospitalized Children

OBJECTIVE: To develop and validate heart and respiratory rate percentile curves for hospitalized children and compare their vital sign distributions to textbook reference ranges and pediatric early warning score (EWS) parameters. METHODS: For this cross-sectional study, we used 6 months of nurse-documented heart and respiratory rates from the electronic records of 14 014 children on general medical and surgical wards at 2 tertiary-care children’s hospitals. We developed percentile curves using generalized additive models for location, scale, and shape with 67% of the patients and validated the curves with the remaining 33%. We then determined the proportion of observations that deviated from textbook reference ranges and EWS parameters. RESULTS: We used 116 383 heart rate and 116 383 respiratory rate values to develop and validate the percentile curves. Up to 54% of heart rate observations and up to 40% of respiratory rate observations in our sample were outside textbook reference ranges. Up to 38% of heart rate observations and up to 30% of respiratory rate observations in our sample would have resulted in increased EWSs. CONCLUSIONS: A high proportion of vital signs among hospitalized children would be considered out of range according to existing reference ranges and pediatric EWSs. The percentiles we derived may serve as useful references for clinicians and could be used to inform the development of evidence-based vital sign parameters for physiologic monitor alarms, inpatient electronic health record vital sign alerts, medical emergency team calling criteria, and EWSs.

Growth in Children With Congenital Heart Disease

OBJECTIVE: We sought to describe growth in young children with congenital heart disease (CHD) over time. METHODS: We performed a retrospective matched cohort study, identifying children with CHD in a large primary care network in Pennsylvania, New Jersey, and Delaware and matching them 10:1 with control subjects. The primary endpoint was the difference in mean World Health Organization z score for cases and controls for weight-for-age (WFAZ), length-for-age (LFAZ), weight-for-length (WFLZ), and head circumference-for-age (HCFAZ) at traditional ages for preventive visits, stratified by CHD category. RESULTS: We evaluated 856 cases: 37 with single ventricle (SV) physiology, 52 requiring complex repair (CR), 159 requiring simple repair (SR), and 608 requiring no repair. For children in the SV, CR, and SR categories, large, simultaneous, and statistically significant (Student’s t test P < .05) decreases in WFAZ and LFAZ appeared within the first month of life, peaked near 4 months, and persisted through 24 or 36 months. There were fewer and smaller decreases in the no-repair group between 2 and 18 months. HC data were available between 1 week and 24 months; at those ages, decreases in mean HCFAZ generally paralleled decreases in WFAZ and LFAZ in the SV, CR, and SR groups. CONCLUSIONS: Children with CHD experience early, simultaneous decreases in growth trajectory across weight, length, and head circumference. The simultaneous decrease suggests a role for altered growth regulation in children with CHD.

Head-Circumference Distribution in a Large Primary Care Network Differs From CDC and WHO Curves

OBJECTIVE: To compare currently available head-circumference growth curves to curves constructed from clinical measurements from patients in a large US primary care network (PCN). PATIENTS AND METHODS: We performed a retrospective cohort study of 75 412 patients in an urban-suburban PCN. Patients with a birth weight of <1500 g or gestational age of <33 weeks at birth were excluded. We compared percentile values and the proportion of head-circumference observations above the 95th percentile and below the 5th percentile for the existing and PCN curves. RESULTS: The PCN curves were most similar to the National Center for Health Statistics (NCHS) curves and were substantially different from the Centers for Disease Control and Prevention (CDC) and World Health Organization (WHO) curves. The overall proportion of observations above the 95th percentile was 4.9% (PCN), 6.2% (NCHS), 8.6% (CDC), and 14.0% (WHO). The proportion below the 5th percentile was 4.4% (PCN), 5.1% (NCHS), 2.9% (CDC), and 2.3% (WHO). When using the CDC curves, the proportion above the 95th percentile increased from 0.2% for children younger than 2 weeks to 11.8% for children 12 months old. When using the WHO curves, the proportion above the 95th percentile was >5% at all ages, with a maximum of 18.0% for children older than 24 months. CONCLUSIONS: The CDC and WHO head-circumference curves describe different distributions than the clinical measurements in our PCN population, especially for children with larger heads. The resulting percentile misclassification may delay diagnosis in children with intracranial pathology in very young infants and spur unnecessary evaluation of healthy children older than 6 months.

The test characteristics of head circumference measurements for pathology associated with head enlargement: a retrospective cohort study

BackgroundThe test characteristics of head circumference (HC) measurement percentile criteria for the identification of previously undetected pathology associated with head enlargement in primary care are unknown.MethodsElectronic patient records were reviewed to identify children age 3 days to 3 years with new diagnoses of intracranial expansive conditions (IEC) and metabolic and genetic conditions associated with macrocephaly (MGCM). We tested the following HC percentile threshold criteria: ever above the 95th, 97th, or 99.6th percentile and ever crossing 2, 4, or 6 increasing major percentile lines. The Centers for Disease Control and World Health Organization growth curves were used, as well as the primary care network (PCN) curves previously derived from this cohort.ResultsAmong 74,428 subjects, 85 (0.11%) had a new diagnosis of IEC (n = 56) or MGCM (n = 29), and between these 2 groups, 24 received intervention. The 99.6th percentile of the PCN curve was the only threshold with a PPV over 1% (PPV 1.8%); the sensitivity of this threshold was only 15%. Test characteristics for the 95th percentiles were: sensitivity (CDC: 46%; WHO: 55%; PCN: 40%), positive predictive value (PPV: CDC: 0.3%; WHO: 0.3%; PCN: 0.4%), and likelihood ratios positive (LR+: CDC: 2.8; WHO: 2.2; PCN: 3.9). Test characteristics for the 97th percentiles were: sensitivity (CDC: 40%; WHO: 48%; PCN: 34%), PPV (CDC: 0.4%; WHO: 0.3%; PCN: 0.6%), and LR+ (CDC: 3.6; WHO: 2.7; PCN: 5.6). Test characteristics for crossing 2 increasing major percentile lines were: sensitivity (CDC: 60%; WHO: 40%; PCN: 31%), PPV (CDC: 0.2%; WHO: 0.1%; PCN: 0.2%), and LR+ (CDC: 1.3; WHO: 1.1; PCN: 1.5).ConclusionsCommonly used HC percentile thresholds had low sensitivity and low positive predictive value for diagnosing new pathology associated with head enlargement in children in a primary care network.

Heart Rates in Hospitalized Children by Age and Body Temperature

BACKGROUND AND OBJECTIVES: Heart rate (HR) is frequently used by clinicians in the hospital to assess a patient’s severity of illness and make treatment decisions. We sought to develop percentiles that characterize the relationship of expected HR by age and body temperature in hospitalized children and to compare these percentiles with published references in both primary care and emergency department (ED) settings. METHODS: Vital sign data were extracted from electronic health records of inpatients <18 years of age at 2 large freestanding children’s hospitals from July 2011 to June 2012. We selected up to 10 HR-temperature measurement pairs from each admission. Measurements from 60% of patients were used to derive the percentile curves, with the remainder used for validation. We compared our upper percentiles with published references in primary care and ED settings. RESULTS: We used 60 863 observations to derive the percentiles. Overall, an increase in body temperature of 1°C was associated with an increase of ∼10 beats per minute in HR, although there were variations across age and temperature ranges. For infants and young children, our upper percentiles were lower than in primary care and ED settings. For school-age children, our upper percentiles were higher. CONCLUSIONS: We characterized expected HR by age and body temperature in hospitalized children. These percentiles differed from references in primary care and ED settings. Additional research is needed to evaluate the performance of these percentiles for the identification of children who would benefit from further evaluation or intervention for tachycardia.

Growing our knowledge about head circumference

ISSN: 2046-9047 (Print) 2046-9055 (Online) Journal homepage: http://www.tandfonline.com/loi/ypch20 Growing our knowledge about head circumference Carrie Daymont To cite this article: Carrie Daymont (2016) Growing our knowledge about head circumference, Paediatrics and International Child Health, 36:2, 81-83, DOI: 10.1080/20469047.2016.1162393 To link to this article: http://dx.doi.org/10.1080/20469047.2016.1162393

Physiologic monitor alarms for children: Pushing the limits.

Division of General Pediatrics, The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania; Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania; Division of Hospital Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio; Children’s Hospital Research Institute of Manitoba, Winnipeg, Manitoba, Canada; Department of Pediatrics and Child Health, University of Manitoba, Winnipeg, Manitoba, Canada.

Diffuse Bacterial Meningitis and Myelitis Secondary to a Diplococcus Organism.

A 16-year-old, previously healthy, female presented with a 1-week history of sore throat, fever, vomiting, and occipital headache. She also complained of generalized myalgia and lower limb weakness. There was no medication or substance use. Her immunizations were up to date, and she had no recent travel history or contact with persons from overseas. Examination in emergency revealed an unwell girl with nuchal rigidity and generalized hyperesthesia. Muscle strength in the lower extremities was graded 3−/5. In the upper extremities, strength was graded 4+/5 except distally on the right side, which was graded 4−/5 with scooping fingers and difficulty with extension of fingers, along with weak wrist flexion. Sitting was noted to be difficult. Reflexes were decreased in the lower limbs; brisk reflexes were found in the upper limbs. Initial magnetic resonance imaging (MRI) showed extensive T2 signal changes throughout the spinal cord (Figure 1A,B). MRI of the brain did not reveal any significant intracranial abnormality. Initial differential diagnosis included demyelinating myelitis from an infectious, postinfectious, or inflammatory process. Infarction and neoplastic infiltration of the spinal cord were also considered. Her cerebrospinal fluid (CSF) had increased protein (2.29 g/L), lactate (4.2 mmol/L), cell count 840 × 10/L (neutrophils, 39; lymphocytes, 53; monocytes/macrophages, 8) and normal glucose (2.5 mmol/L). A CSF Gram stain revealed gram-negative diplococci versus coccobacilli (orientation of organism unclear). Blood and CSF cultures were obtained before treatment with intravenous cefotaxime and vancomycin at meningitic doses and dexamethasone (7.5 mg every 6 hours). Overnight, she developed progressive flaccid paralysis of extremities; cefotaxime was switched to ceftriaxone and dexamethasone was switched to daily methylprednisone (1 g for 5 days) followed by oral prednisone (1 g/kg) in tapering doses over 20 days. She demonstrated gradual improvement of her extremity weakness. Repeat MRI showed minimal interval improvement (Figure 2). CSF and blood cultures yielded negative results, as did CFS analysis using 16S RNA PCR. CFS, stool, and nasopharyngeal secretion viral cultures (including polio virus) revealed no causative organism. She was treated with 14 days of antibiotics for presumed bacterial meningitis resulting from either Neisseria meningitidis or Haemophilus influenzae, based on the initial CSF Gram stain. Follow-up MRI 1 month after presentation revealed improvements, with minor residual inflammation/demyelination seen within the cervical/thoracic spinal cord (Figure 3). Two months after her presentation, she was ambulating with cane assistance. A repeat MRI 9 months after presentation showed resolution of abnormal findings. Follow-up 11 months after presentation showed almost complete neurological recovery, with only mild residual bowel and bladder dysfunction.

Accuracy of physician-estimated probability of brain injury in children with minor head trauma

OBJECTIVE To evaluate the accuracy of physician estimates of the probability of intracranial injury in children with minor head trauma. METHODS This is a subanalysis of a large prospective multicentre cohort study performed from July 2001 to November 2005. During data collection for the derivation of a clinical prediction rule for children with minor head trauma, physicians indicated their estimate of the probability of brain injury visible on computed tomography (P-Injury) and the probability of injury requiring intervention (P-Intervention) by choosing one of the following options: 0%, 1%, 2%, 3%, 4%, 5%, 10%, 20%, 30%, 40%, 50%, 75%, 90%, and 100%. We compared observed frequencies to expected frequencies of injury using Pearsons χ2-test in analyses stratified by the level of each type of predicted probability and by year of age. RESULTS In 3771 eligible subjects, the mean predicted risk was 4.6% (P-Injury) and 1.4% (P-Intervention). The observed frequency of injury was 4.1% (any injury) and 0.6% (intervention). For all levels of P-Injury from 1% to 40%, the observed frequency of injury was consistent with the expected frequency. The observed frequencies for the 50%, 75%, and 90% levels were lower than expected (p<0.05). For estimates of P-Intervention, the observed frequency was consistently higher than the expected frequency. Physicians underestimated risk for infants (mean P-Intervention 6.2%, actual risk 12.3%, p<0.001). CONCLUSIONS Physician estimates of probability of any brain injury in children were collectively accurate for children with low and moderate degrees of predicted risk. Risk was underestimated in infants.

370The Impact of Early Life Antibiotic Exposure on Childhood Weight Gain

370. The Impact of Early Life Antibiotic Exposure on Childhood Weight Gain Jeffrey S. Gerber, MD, PhD; Elizabeth Prout, MD, MSCE; Rachael Ross, MPH; Matthew Bryan, PhD; Robert Grundmeier, MD; Evanette Burrows; Carrie Daymont, MD, MSCE; Virginia Stallings, MD; Theoklis Zaoutis, MD, MSCE; Department of Pediatrics, Division of Infectious Diseases, The Children’s Hospital of Philadelphia, Philadelphia, PA; Division of Gastroenterology, Hepatology, and Nutrition, Children’s Hospital of Philadelphia, Philadelphia, PA; The Children’s Hospital of Philadelphia, Philadelphia, PA; Department of Pediatrics, Children’s Hospital of Philadelphia, Philadelphia, PA; General Pediatrics, The Children’s Hospital of Philadelphia, Philadelphia, PA; Children’s Hospital of Philadelphia, Philadelphia, PA; University of Manitoba, Winnipeg, MB, Canada; Division of Infectious Diseases, Center for Pediatric Clinical Effectiveness, the Children’s Hospital of Philadelphia, Philadelphia, PA, The Children’s Hospital of Philadelphia, Philadelphia, PA