Keywords
Obesity; Expert committee; Lipid; Comorbidities; Screening
Abstract
Our study assessed how primary care providers in a large outpatient network follow ECR guidelines with regards to laboratory screening for co-morbidities of obese patients in the 9 to 11 year age group. This retrospective cohort study included 706 patients seen in an outpatient network with a 10 year well child check from 7/1/17 to 7/1/18 and a BMI greater than or equal to the 95th percentile. Our study found 42% of patients, who met ECR guidelines, had no lipid screening or obesity co-morbidity screening obtained. The most frequently abnormal test was the lipid panel, at 23%, and notably 16 % of Hemoglobin A1C screening resulted pre-diabetic range. Our study serves as an updated review of ECR compliance in a large primary care network and suggests an opportunity to enhance education on screening recommendations.
Citation
Komer M, Ben-Zion S, Raina R (2022) Childhood Obesity Man agement at the 9-11 Year Well Child Check – An Opportunity for Expert Committee Recommended Comorbidity Screening. SM J Community Med 6: 4
Introduction
Obesity affects 17% of children in the United States [1]. The most recent expert committee recommendations (ECR) in 2007 endorse a fasting glucose, lipid panel, aminotransferase (ALT), and aspartate transaminase (AST) levels every two years, starting at 10 years, for obese patients, defined as BMI at or above the 95th percentile [2]. In 2011 the National Heart, Lung, and Blood Institute (NHLBI) of Pediatrics issued guidelines endorsing universal lipid screening in ages 9 to 11 [3]. Thus, the 9-11 year well child check is a critical timepoint for pediatricians to identify obese children and order the appropriate comorbidity screening.
While the vast majority of physicians are aware of the ECR guidelines, a 2018 study found only 3.5% of children aged 9 to 11 years had a lipid panel at their well child visit with 43% of those resulting as abnormal [4,5,7]. Hyperlipidemia screening increased slightly from 17.1% to 20.1% after the NHLBI’s guidelines were issued, and for overweight children, a lipid panel (57%) was the most common test ordered, followed by glucose (30%) [8,9].
A 2019 study demonstrated the significance of comorbidity screening when they found 28% of 6-year old children with obesity showed signs of insulin resistance and 8% had elevated triglycerides [10]. Prevalence of pediatric non-alcoholic fatty liver disease (NAFLD) is reported to be 9.6%, with higher rates seen in obese children at 38% [11]. Addressing obesity in pediatrics is critical as children with obesity are 5 times more likely to be obese adults [12,13].
The last review of obesity co-morbidity screening compliance in a large primary care network was in 2018 assessing lipid screening compliance after the release of the 2011 ECR guidelines, which concluded clinicians rarely followed guidelines for universal lipid screening. Our study adds a broader scope of obesity co-morbidity screening tests,lacking in the current literature, to include fasting glucose, ALT, and AST level for obese patients in addition to lipid screening.
Materials and Methods
This retrospective cohort study included 706 patients seen in the Akron Children’s Hospital Pediatrics (ACHP) outpatient network. The ACHP network is a large,hospital-owned outpatient network consisting of more than 30 offices where 115,385 children were seen for well visits in 2018. Inclusion criteria involved patients with a 10 year well child check from 7/1/17 to 7/1/18 with a BMI greater than or equal to the 95th percentile. Study variables abstracted from the medical record included medical record number, gender, race, insurance, BMI and date of 10 year well child check. Chart review was done to interpret laboratory test results including glucose, lipid panel, AST, ALT, and hemoglobin A1C levels at either the 9, 10 or 11 year well child check. Laboratory test results were interpreted as abnormal based on the criteria below (Table 1).
Table 1: Description of laboratory test variable ranges defined as abnormal.
abnormal. | |
Abnormal laboratory values | Laboratory Test Abnormal Range |
Glucose | >99 mg/dL |
Cholesterol | >199 mg/dL |
Triglycerides | >129 mg/dL |
HDL | <40 mg/dL |
LDL | >129 mg/dL |
AST | >37 U/L |
ALT | >41 U/L |
Hemoglobin A1c | 5.7-6.4% Prediabetic, > 6.4% Diabetic |
Laboratory testing was counted as ordered at the well check if the patient obtained obesity comorbidity screening during a separate primary care provider appointment specifically for abnormal weight gain or as part of a referral visit to endocrinology or the healthy active living clinic in our institution. Glucose, lipid panel, AST, ALT, and hemoglobin A1C levels were not counted as ordered during the well check if the patient obtained these laboratory tests as part of a sick visit, ED visit, or outside of the 9 to 11-year age range.
Results
Study population
The majority of the study population was Caucasian (69%) and male (57%). Within the study parameters of patients with BMI greater than or equal to the 95th percentile,a large portion of 10 year old children were morbidly obese with majority of the study population having a BMI above the 98th percentile. Retrospectively, these children’s BMI at their 9 and 11 year well child checks were consistently obese; 43% with BMI greater than or equal to 95th percentile at their 9 year well child visit and 50% with BMI greater than or equal to 95th percentile at their 11 year well child visit (Table 2).
Table 2: Demographics and clinical characteristics of the study population.
Demographics, n =706. | n | % | |
Gender | |||
Male | 405 | 57.4 | |
Female | 301 | 42.6 | |
Race | |||
White or Caucasian | 493 | 69.83 | |
African American/Black | 130 | 18.41 | |
Hispanic | 24 | 3.4 | |
Other | 24 | 3.4 | |
Asian | 19 | 2.69 | |
Unknown | 10 | 1.42 | |
Middle Eastern Indian | 4 | 0.57 | |
Native Hawaiian and Other Pacific Islander | 2 | 0.28 | |
9 yr visit BMI | |||
>=95% | 305 | 43.2 | |
<95% | 47 | 6.66 | |
NA (no visit) | 354 | 50.14 | |
10 yr visit BMI | |||
95 <= BMI < 95.9 | 85 | 12 | |
96<=BMI < 96.9 | 109 | 15.4 | |
97 <= BMI < 97.9 | 138 | 19.6 | |
98< BMI <= 98.9 | 198 | 28.1 | |
BMI >= 99 | 176 | 24.9 | |
11 yr visit BMI | |||
>=95% | 356 | 50.42 | |
<95% | 36 | 5.1 | |
NA (no visit) | 314 | 44.48 |
Obesity comorbidity screening compliance and results
Though 42% of patients in our study had no lipid screening or obesity co-morbidity screening obtained during their well child visit, nearly 38% of patients did have all of their obesity comorbidity screening obtained at the time of their lipid screen. Nearly 10% of patients had a partial obesity co-morbidity screen at the time of their lipid screen and another 10% of patient had no co-morbidity screening at the time of their lipid screen (Table 3).
Table 3: ACHP network ECR obesity comorbidity screening compliance at time of lipid screening
Obesity comorbidity screening | ||
n | % | |
All obesity comorbidity screening ordered at time of lipid screen | 267 | 37.82 |
Partial obesity comorbidity screening ordered at time of lipid screen | 69 | 9.77 |
No obesity comorbidity screening ordered at time of lipid screen | 70 | 9.92 |
No lipid screening or comorbidity screening obtained | 300 | 42.49 |
Of the obesity co-morbidity screening laboratory tests ordered, the most commonly ordered test was the lipid panel (57%), followed by HgA1C (52%), ALT (46%), AST (45%), and glucose (43%). The most commonly abnormal test was the lipid panel at 23%. Notably, the HgA1C resulted in the pre-diabetic range for nearly 16% of tests. (Table 4).
Table 4: Rates of obesity comorbidity screening compliance by laboratory test with associated results, if collected.
Obesity Comorbidity Screening Laboratory Test Results | ||||||
Laboratory Test | Test Ordered | Test Abnormal | Test Ordered and Not collected | |||
n | % | n | % | n | % | |
Glucose | 306 | 43.3 | 41 | 5.8 | 81 | 11.5 |
Lipid Panel | 406 | 57.5 | 168 | 23.8 | 86 | 12.2 |
AST | 320 | 45.3 | 20 | 11.6 | 82 | 11.6 |
ALT | 327 | 46.3 | 30 | 4.3 | 71 | 11.5 |
HgA1C | 336 | 52.4 | 47 | 0.90 Abnormal, 15.9 Prediabetic | 77 | 10.9 |
Well Check Compliance
Of the children in our study with a BMI ≥95th percentile who attended their scheduled well child check, 27% of these children had not attended either their 9 or 11 year well child visit.Additionally, 50% of patients did not attend their 9 year well child visit, but did attend their 11 year well child visit. Similarly, 44% did not attend their 11 year well check, but did attend their 9 year well child visit. (Table 5).
Table 5: Well child visit compliance rates at 9 and 11 year well child visits for obese 10 year old patients with documented 10 year well check checks
Age 9 and 11 year well child check compliance | ||
n | % | |
No documented 9 year Well Check | 354 | 50.1 |
No documented 11 year Well Check | 314 | 44.5 |
No documented 9 or 11 year Well Check | 194 | 27.5 |
Discussion
Only 37% of obese patients in the ACHP network received all of the ECR recommended obesity comorbidity screening during their 9 to 11 year well visits, consistent with current literature ranging from 3.5 to 57% [4-8 ]. Conversely, 42% of obese patients did not receive any of the ECR recommended obesity comorbidity screening. Poor comorbidity screening despite provider awareness suggests there are barriers to testing including lack of knowledge of current guidelines, provider or parental perceived utility, hesitation to obtain laboratory work on children, and patients being lost to follow up. Prior studies have shown that providers doubt their obesity management efficacy and report time constraints which may lead to reduced screening [14-16]. Adversely, parents identify the clinic as their preferred setting to address weight, and adolescents are more likely to attempt weight loss when counseled by their physician [17,18].
While providers may not perceive co-morbidity screening to be efficacious, 23% of the obtained lipid panels were abnormal and 16% of the screening HgA1C were abnormal. This data showed the relevance of obesity co-morbidity screening and the opportunity providers have to identify hyperlipidemia and insulin resistance in the pediatric population and intervene.
Identifying obesity co-morbidities on laboratory screening early in the disease course is a critical time to address lifestyle modification to prevent chronic disease, which is the utility of screening to convey to parents. Additionally, our study showed that the vast majority of parents are compliant with obtaining the laboratory tests if ordered by a provider.
Another finding of our study was that a large portion of our preadolescent population is being lost to follow up, with 27% without a 9 or 11 year well child check. This further emphasizes the importance of obtaining the recommended obesity co morbidity screening when a child is seen and to avoid waiting until the next well check as there may be fewer opportunities to obtain these screening tests in this age group.
The strengths of this study include a large patient population within a large hospital- owned outpatient network, including a large sample of providers, which increases the validity of this study. Limitations of this study include the use of various laboratory centers with various levels of validity and accuracy and the inability to identify if patients were fasting when laboratory tests were obtained, potentially leading to a Type I error, impacting interpretation of the data as falsely abnormal. Additionally, our predominantly Caucasian population limits the generalizability of our study.
Conclusion
This study serves as an updated review of ECR compliance in a large primary care network and suggests an opportunity to enhance provider education on the importance of the obesity co morbidity screening recommendations. This study can serve as a framework for future quality improvement initiatives.
References
1. Ogden et al. Trends in Obesity Prevalence Among Children and Adolescents in the United States, 1988-1994 Through 2013-2014. JAMA. 2016;315(21):2
2. Barlow SE. Expert Committee Recommendations Regarding the Prevention, Assessment, and Treatment of Child and Adolescent Overweight and Obesity: Summary Report.
3. Pediatrics. 2007; 120(suppl 4):S164-S192
4. Expert Panel on Integrated Guidelines for Cardiovascular Health and Risk Reduction in Children and Adolescents. Expert panel on integrated guidelines for cardiovascular health and risk reduction in children and adolescents: summary report. Pediatrics 2011;128 (suppl 5):S213–S256.
5. Harkins PJ, et al. Childhood Obesity: Survey of Physician Assessment and Treatment Practices. Childhood Obesity. 2012; 8(2):155-161
6. Mihalopoulos et al. Universal Lipid Screening in 9- to 11-Year-Olds Before and After 2011 Guidelines. Academic Pediatrics. 2018; Volume: 18 Issue 2
7. Wilson DP, et al. Universal cholesterol screening of children in community-based ambulatory pediatric clinics. Journal of Clinical Lipidology. 2015;(9):S88-S92
8. Rausch et al. Obesity prevention, screening, and treatment: practices of pediatric providers since the 2007 expert committee recommendations. Clinical Pediatrics Volume: 50 Issue 5 (2011)
9. Kjellberg E, et al. Longitudinal birth cohort study found that a significant proportion of children had abnormal metabolic profiles and insulin resistance at 6 years of age. ACTA PAEDIATRICA. 2018
10. Schwimmer JB, et al. Prevalence of Fatty Liver in Children and Adolescents. Pediatrics. 2006; Volume 118, Number 4
11. O’Connor et al. Screening for Obesity and Intervention for Weight Management in Children and Adolescents: Evidence Report and Systematic Review for the US Preventive Services Task Force. JAMA: Journal of the American Medical Association 2017; Volume: 317 Issue 23
12. Simmonds et al. The use of measures of obesity in childhood for predicting obesity and the development of obesity-related diseases in adulthood: a systematic review and meta- analysis. Health technology assessment. 2015; Jun;19(43)
13. Eneli IU, Keast DR, Rappley MD, Camargo CA Jr. Adequacy of two ambulatory care surveillance systems for tracking childhood obesity practice patterns. Public Health. 2008;122:700-707
14. Klein JD, Sesselberg TS, Johnson MS, et al. Adoption of BMI for screening and counseling in pediatric practice. Pediatrics. 2010; 125:265-272
15. Perrin EM, Skinner AC, Steiner MJ. Parental recall off doctor communication of weight status: national trends from 1999 through 2008. Arch Pediatr Adolesc Med. 2012;166:317-322
16. Eneli IU, Kalogiros ID, McDonald KA, Todem D. Parental preferences on addressing weight-related issues in children. Clin Pediatr (Phila). 2007;46:612-618
17. Saelens BE, Jelalian E, Kukene DM. Physician weight counseling for adolescents. Clin Pediatr (Phila). 2002;41:575-585
18. Eneli IU, et al. The Primary Care Obesity Network: Translating Expert Committee Guidelines on Childhood Obesity Into Practice. Clinical Pediatrics. 2018; 57(9) 1069-1079