| Literature DB >> 29721323 |
Christina Gade1, Hanne R Christensen1, Kim P Dalhoff1, Jens Christian Holm2, Helle Holst1.
Abstract
Obesity can affect the pharmacokinetics of most drugs, which may result in under- or overdosing if traditional pediatric dosing strategies are used. To investigate currently applied dosage strategies in children with overweight or obesity (overweight/obesity), in a clinical treatment facility. In particular, whether dosing guidelines were available and metrics of body size applied. A retrospective cohort study of 200 patients admitted to the Danish Children's Obesity Clinic. Data were collected from 2007 to 2015. Overweight/obese children 3-18 years were included if they had at least one drug prescription. Overall there were 658 prescriptions, primarily analgesics, psychotropics, asthma medications, and antibiotics. Except for one prescription, guidelines for dosage of overweight/obese children were not available in the clinic. In one prescription of gentamicin, the dose was adjusted by a metric body size. Otherwise dose was predominately prescribed either by total body weight or as fixed dose by age, in accordance with the recommendations of normal weight children. In drugs with a narrow therapeutic interval, we found large interindividual variations in dosing regimens, that is, for gentamicin, paracetamol, and prednisolone. Reduction of dose to the maximum recommended adult dose was common practice, when the dose calculated by total body weight (ie, mg/kg) exceeded this maximum. This study highlights the shortage of dosing guidelines in overweight/obese children. We found a large interindividual variability in dosage regimens, even in drugs with narrow therapeutic intervals. The clinicians rely on "best practice", as evidence-based dosage regimens are missing for many drugs prescribed during childhood.Entities:
Keywords: childhood obesity; clinical pharmacology; dosing regimens; overweight; pediatrics
Mesh:
Substances:
Year: 2018 PMID: 29721323 PMCID: PMC5909170 DOI: 10.1002/prp2.398
Source DB: PubMed Journal: Pharmacol Res Perspect ISSN: 2052-1707
Metrics of body size, used to calculate dose in children with overweight/obese
| Metrics of body size | Formula |
|---|---|
| TBW, kg | Total body weight |
| LBW, kg |
Male: (1.1 × TBW)–(0.0128 × BMI × TBW) |
| IBW, kg | BMI 50th percentile for age and gender (children) |
| ABW, kg | IBW + (0.4 × (TBW–IBW) |
| BSA, m2 | TBW × 0.024265 × height (cm)0.3964 × TBW (kg) 0.5378 or (TBW × height (cm)/3.600)½ |
| Allometric scaling |
CL child = CLadult(TBWchild/70)b |
LBW, lean body weight; ABW, adjusted body weight; BMI, body mass index; IBW, ideal body weight; BSA, body surface area; C av, average plasma concentration in steady state; Ϯ, dose interval; F, bioavailability.
Demographic characteristics at the first visit to The clinic of obese children
| Characteristics | Total | 2‐11 years | 12‐18 years |
|---|---|---|---|
| N (%) | 200 | 107 (53.5) | 93 (46.5) |
| Age, years (median, range) | 11 (3‐18) | 10 (3‐11) | 14, 5 (12‐18) |
| Male (%) | 126 (63) | 60 (48) | 66 (52) |
| Female (%) | 74 (37) | 46 (62) | 28 (38) |
| BMI | 2.95 (1.28‐9.72) | 2.98 (1.64‐9.72) | 2.92 (1.28‐7.78) |
| Distribution of co‐morbidities, ICD‐10‐code and diagnosis: (%) | 105 (100) | 56 (53) | 49 (47) |
| D44.4‐D69.3 Craniophanygioma, Autoimmune hemolytic anemia | 3 | 1 | 2 |
| E03.9‐E.70 Myxoedama, Autoimmune thyroiditis, Type 1 diabetes, Type 2 Diabetes Mellitus, Polycystic ovarian syndrome, Precocious puberty, Endocrine disorder, unspecified, Disorders of aromatic amino‐acid metabolism | 12 | 5 | 7 |
| F32‐F99.2 Depressive episode, Other anxiety disorders, Borderline personality, Infantile autism, Asperger syndrome, Attention‐deficit hyperactive disorder, Tourette disorder | 19 | 6 | 13 |
| G40 Epilepsy | 4 | 3 | 1 |
| I10 Hypertension | 2 | 1 | 1 |
| J45 Asthma | 43 | 30 | 13 |
| K21‐59 Gastroesophageal reflux disease, Constipation | 7 | 3 | 4 |
| L20‐L40 Atopic dermatitis, Psoriasis | 4 | 2 | 2 |
| M00‐M99 Musculoskeletal disorders, Low back pain | 3 | 1 | 2 |
| Q14‐Q89.3 Congenital malformations of posterior segment of eye, Other congenital malformations of male genital organs, Other congenital musculoskeletal deformities, Bardet‐Biedl syndrome, Dextrocardia with situs in versus | 5 | 3 | 2 |
| R32 Unspecified urinary incontinence | 1 | 0 | 1 |
| T78.4 Allergy, unspecified | 2 | 1 | 1 |
ICD, international classification of diseases.
Data are presented as median (range) or frequencies in numbers or percent.
Some of the patients are represented in more than one group.
Figure 1Distribution of prescriptions registered at first visit and distribution of prescriptions conducted during hospitalization. In total: N = 658 prescriptions. Light green color bar chart: 203 prescriptions registered at the first visit. Dark green color bar: 455 prescriptions registered during hospitalization. Some of the children are represented in more than one ATC group
Distributionen on individual drugs at ATC‐level five and the dose regimen used. Each patient can be represented in more than one group
| Drug (ATC‐code, Genericum) | Number of prescriptions N:455 | Fixed dose by age N:183 | Dosed per total kilogram body weight N: 179 | Dose estimation N:28 | Age (median, range) |
|---|---|---|---|---|---|
| A10BA02, insuline detemir | 1 | — | — | — | 10 |
| A02AA04, magnesium oxide | 1 | — | — | — | 16 |
| A02BC01, omeprazole | 4 | 4 | — | — | 13 (10‐16) |
| A02BC02, pantoprazol | 3 | 3 | — | — | 17 (13‐18) |
| A02BC03, lansoprazole | 4 | 3 | — | — | 17 (13‐18) |
| A02BC05, esomeprazole | 1 | 1 | — | — | 18 |
| A02BX13,gaviscon® | 1 | 1 | — | — | 16 |
| A06AB08,sodium picosulfate | 2 | 2 | — | — | 15.5 (15‐16) |
| A06AD11, lactulose | 1 | 1 | — | — | 10 |
| A06AD65, Movicol® | 12 | 12 | — | — | 12 (4‐16) |
| A07EC02, mesalazine | 4 | 4 | — | — | 16 (13‐16) |
| A08AB01, orlistat | 2 | — | — | — | 13 |
| A10BA02, metformin | 1 | 1 | — | — | 17 |
| A10AB05, aspartat1 | 1 | — | — | — | 10 |
| A11CC05, cholecalciferol | 1 | 1 | — | — | 16 |
| B01AA03, warfarin | 1 | 1 | — | 1 | 18 |
| B01AB04, dalteparin | 1 | — | 1 | 1 | 18 |
| B02AA02, tranexamic acid | 1 | — | 1 | — | 17 |
| B03BB01, folic acid | 1 | — | — | 1 | 14 |
| B03AA02,ferrous fumerat/vitamin C2 | 1 | — | — | — | 13 |
| B03AA07,ferrous sulfate | 1 | — | — | — | 16 |
| C07AA05, propranolol | 1 | 1 | — | 1 | 15 |
| C03CA01, furosemide | 1 | — | 1 | 1 | 13 |
| C08CA01, amlodipine | 1 | 1 | — | — | 13 |
| C09AA01, captopril | 2 | — | 1 | 1 | 16 |
| D07AB02, hydrocortisone butyrate | 1 | — | — | — | 10 |
| D07AD01, clobetasolpropionat | 1 | 1 | — | — | 11 |
| D10AE51, benzoyl peroxide, clindamycin | 1 | 1 | — | — | 13 |
| G03AA07, COC3, 2.generation progestin | 7 | — | — | — | 17 (15‐17) |
| G03AC01, norethisteron, 1.generation | 1 | — | — | — | 17 |
| G03AC09, desogestrel, 3.generation | 2 | — | — | — | 17 (16‐18) |
| G03DA02, medroxyprogesteronacetate | 1 | — | 1 | — | 15 |
| G04BD08, solifenacin | 2 | — | — | — | 15.5 (11‐16) |
| H01BA02, desmopressin | 1 | 1 | — | — | 8 |
| H02AB02, dexamethason | 1 | — | — | — | 12 |
| H02AB04, methylprednisolone | 3 | — | 3 | 2 | 16 (15‐16) |
| J01CA01, ampicillin | 3 | — | 3 | — | 6 (5‐17) |
| J01CA08, pivmecillinam | 4 | — | 4 | 2 | 13 (5‐15) |
| H02AB06, prednisolone | 10 | 2 | 3 | 2 | 17 (10‐18) |
| J01CA04, amoxicillin | 2 | 2 | — | — | 5 |
| J01DC02, cefuroxime | 2 | 1 | 1 | — | 16 (14‐18) |
| J01CE01, benzylpenicillin | 3 | — | 3 | — | 11 (10‐17) |
| J01CE02, phenoxymethylpenicillin | 8 | — | 1 | — | 13.5 (6‐17) |
| J01CF01, dicloxacillin | 5 | — | 3 | — | 11 (11‐13) |
| J01DH02, meropenem | 1 | 1 | — | — | 16 |
| J01EE01, sulfametoxazol/trimetoprim | 1 | 1 | — | — | 17 |
| J01FA09, chlarithromycin | 2 | — | — | — | 18 |
| J01FA10, azithromycin | 4 | 4 | — | — | 16.5 (11‐18) |
| J01GB03, gentamicin | 6 | — | 5 | 2 | 5 (5‐18) |
| J01MA02,ciprofloxacin | 4 | 2 | 2 | 1 | 16.5 (16‐18) |
| J01XE01, nitrofurantoin | 2 | 1 | — | — | 11.5 (7‐16) |
| J05AB01, acyclovir | 1 | — | — | — | 11 |
| L02AE02, leoprorelin | 2 | — | — | — | 13 |
| L04AB02, Infliximab | 1 | — | — | — | 16 |
| M01AE01, ibuprofen | 11 | 11 | — | — | 13 (11‐18) |
| M01AE02, naproxen | 1 | 1 | — | — | 18 |
| M01AB05, diclofenac | 7 | — | — | — | 15 (6‐17) |
| M03BB03, chlorzoxazone | 1 | 1 | — | — | 18 |
| N02AA01, morphine | 7 | 1 | 6 | 14 (13‐18) | |
| N02AX02, tramadol | 2 | 2 | — | — | 17, 5 (17‐18) |
| N02BE01, paracetamol | 34 | 2 | 15 | 9 | 13 (5‐18) |
| N05AF03, chlorprothixen | 12 | 1 | — | — | 14 (13‐18) |
| N05AH03, olanzapine | 1 | — | — | — | 14 |
| N05AH04, quetiapine | 15 | — | — | — | 14 (10‐18) |
| N05AX08, risperidone | 2 | 2 | — | — | 10 |
| N03AX09, lamotrigene | 4 | 4 | — | — | 14 |
| N05AX12, aripiprazole | 15 | 4 | — | — | 13.5 (10‐16) |
| N05BA01, diazepam | 2 | 2 | — | — | 12 (11‐13) |
| N05BA04, oxazepam | 1 | 1 | — | — | 18 |
| N05CF01, zopiclone | 1 | — | — | — | 16 |
| N05CH01, melatonin | 12 | — | — | — | 13.5 (8‐15) |
| N06AB03, fluoxetine | 6 | 6 | — | — | 15.5 (11‐16) |
| N06AB04, citalopram | 6 | 1 | — | — | 11 (10‐18) |
| N06AB06, sertraline | 15 | 5 | — | — | 15 (11‐16) |
| N06AX11, mirtazapine | 2 | — | — | — | 17 |
| N06AX16, venlafaxine | 1 | — | — | — | 17 |
| N06BA04, methylphenidate | 109 | 43 | 62 | 4 | 11 (4‐17) |
| N06BA09, atomoxetine | 12 | — | 12 | ‐ | 13.5 (10‐17) |
| N06BA12, lisdexamfetamine | 6 | 6 | — | — | 16 (15‐16) |
| R03DC03, montelukast | 4 | 4 | — | — | 11.5 (6‐15) |
| R06AD02, promethazine | 3 | 3 | — | — | 13 (11‐17) |
| R03AC02, salbutamol | 7 | 7 | — | — | 13 (6‐17) |
| R03AC03, terbutaline | 7 | 7 | — | — | 12 (9‐15) |
| R03BA02, budesonide | 8 | 8 | — | — | 11 (9‐18) |
| R03BA05, fluticasone propionate | 3 | 3 | — | — | 10 (6‐12) |
| R01AD12, fluticasone furoate | 2 | 2 | — | — | 12.5 (11‐14) |
| R06AA04, clemastine | 1 | 1 | — | — | 16 |
| R06AE07, cetirizine | 2 | 2 | — | — | 13.5 (10‐17) |
| V03AB23, acetylcysteine | 1 | — | 1 | — | 16 |
Off label use (Indication, age, dose, form and dose interval) has not been specified in the table. Some drugs are not dosed by weight or age, that is, insulin detemir, which is dosed by blood glucose level. For drugs prescribed off label or off license, it was not possible to specify dose regimen. Dose estimation comprises dose capping and use of metrics of body size. The later only registered in one case, which was gentamicin dosed by ABW, with reference to the Danish website http://www.promedicin.dk.