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Pediatric patient dosages diverge from adults due to disparities in body surface area, total body water, and extracellular fluid per kilogram of body weight. The dosing regimen considers the variations in pharmacokinetics and pharmacology across distinct age groups, encompassing preterm newborns, infants, young children, older children, and adolescents. Calculation of pediatric patient doses is predicated on determining body surface area, which exhibits a superior correlation with the child's...
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Pharmacokinetics in Pediatric Patients: Drug Metabolism01:24

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In pediatric care, understanding the nuances of hepatic drug metabolism is crucial, as it significantly differs from that of adults. This divergence is primarily due to the developmental stage of drug-metabolizing enzymes, which affects how medications are processed in the body. In neonates, for instance, the activity of Phase I enzymes—critical for the initial breakdown of drugs—is markedly reduced, functioning at just 20–40% of the levels seen in adults. This reduction poses...
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Pharmacokinetics in Pediatric Patients: Drug Excretion01:26

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In pediatric medicine, understanding the renal function and drug elimination nuances is crucial for administering safe and effective treatments. Newborns, in particular, display markedly slower renal functions than adults, profoundly affecting how drugs are cleared from their bodies. This slower drug clearance requires clinicians to extend the dosing intervals for many medications to prevent drug accumulation and toxicity while ensuring therapeutic efficacy.One key area where these adjustments...
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Pharmacokinetics in Pediatric Patients: Drug Distribution01:17

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Drug distribution in the pediatric population exhibits unique challenges and considerations due to the physiological differences between children, particularly neonates and infants, and adults. A crucial aspect of pediatric pharmacology is understanding how these differences impact the pharmacokinetics of various drugs, necessitating age-specific dosing strategies to ensure efficacy and safety.Neonates and infants have a higher total body water content, ~75%–90% of their body weight,...
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Understanding the physiological differences in the pediatric population is crucial for effective pharmacotherapy. Neonates, infants, and children exhibit significant variations in gastric pH, gastric emptying time, intestinal transit time, and biliary function. These variations profoundly affect oral drug absorption, necessitating a nuanced approach to pediatric dosing.Neonates present with a unique physiological profile, having a gastric pH greater than 4 and faster and more irregular gastric...
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Glomerular filtration rate (GFR) can be estimated from serum creatinine using the modification of diet in renal disease (MDRD) formula or the chronic kidney disease–epidemiology collaboration (CKD–EPI) equation. Both methods are widely used in clinical practice to assess kidney function and guide treatment decisions.The MDRD equation does not require weight or height measurements and is normalized to the body surface area of 1.73 m², considered the average adult surface area.
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Pediatric medical complexity algorithm: a new method to stratify children by medical complexity.

Tamara D Simon1, Mary Lawrence Cawthon2, Susan Stanford3

  • 1Department of Pediatrics, University of Washington/Seattle Children's Hospital, Seattle, Washington;Seattle Children's Research Institute, Seattle, Washington; tamara.simon@seattlechildrens.org.

Pediatrics
|May 14, 2014
PubMed
Summary

A new Pediatric Medical Complexity Algorithm (PMCA) effectively identifies children with complex chronic diseases (C-CD) using ICD-9-CM codes. This algorithm shows good sensitivity and specificity for targeting care coordination resources to these children.

Keywords:
administrative datachildrenclaims datamedical complexitysensitivityspecificitystratificationvalidation

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Area of Science:

  • Pediatric healthcare research
  • Health informatics
  • Medical coding systems

Background:

  • Accurate classification of pediatric chronic disease (CD) is essential for resource allocation.
  • Existing methods for identifying children with varying medical complexity have limitations.
  • International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes offer a potential basis for such classification.

Purpose of the Study:

  • To develop and validate the Pediatric Medical Complexity Algorithm (PMCA) using ICD-9-CM codes.
  • To classify children with chronic disease by their level of medical complexity.
  • To assess the sensitivity and specificity of the developed PMCA.

Main Methods:

  • A retrospective observational study involving 700 children insured by Washington State Medicaid.
  • Modification of the existing Chronic Disability Payment System algorithm to create PMCA.
  • Validation of PMCA against a gold standard population categorized into complex chronic disease (C-CD), noncomplex chronic disease (NC-CD), and no CD groups.

Main Results:

  • PMCA demonstrated high sensitivity for C-CD (84-89%) and children without CD (80-96%) across different data sources.
  • Sensitivity for NC-CD was lower (41-45%).
  • Specificity ranged from 85% to 92% for all groups, indicating good overall classification accuracy.

Conclusions:

  • The Pediatric Medical Complexity Algorithm (PMCA) accurately identifies children with complex chronic diseases (C-CD) who have accessed tertiary care.
  • PMCA exhibits good to excellent sensitivity and specificity when applied to hospital discharge or Medicaid claims data.
  • PMCA may serve as a valuable tool for targeting care coordination and other resources to children with C-CD.