| Literature DB >> 34865631 |
Kiley B Vander Wyst1,2, Micah L Olson2,3, Smita S Bailey4, Ana Martinez Valencia2, Armando Peña2, Jeffrey Miller4, Mitchell Shub5,6, Lee Seabrooke7, Janiel Pimentel3, Kiri Olsen3,7, Robert B Rosenberg7,8, Gabriel Q Shaibi9,10,11.
Abstract
BACKGROUND: The application of advanced imaging in pediatric research trials introduces the challenge of how to effectively handle and communicate incidental and reportable findings. This challenge is amplified in underserved populations that experience disparities in access to healthcare as recommendations for follow-up care may be difficult to coordinate. Therefore, the purpose of the present report is to describe the process for identifying and communicating findings from a research MRI to low-income Latino children and families.Entities:
Mesh:
Year: 2021 PMID: 34865631 PMCID: PMC8647358 DOI: 10.1186/s12874-021-01459-8
Source DB: PubMed Journal: BMC Med Res Methodol ISSN: 1471-2288 Impact factor: 4.612
Fig. 1Preventing Diabetes in Latino Youth CONSORT Flow Diagram
Fig. 2Timeline of Major Events Leading to Development of an Institutional Pathway
Demographic, Anthropometric, and Socioeconomic Characteristic of Participants (n = 86) in Imaging Substudy
| Variable | Mean ± SD or % (n) |
|---|---|
| Age (years), mean ± SD | 13.6 ± 1.4 |
| Gender, % male (n) | 60.5% (52) |
| BMI (kg/m2), mean ± SD | 34.1 ± 5.4 |
| BMI Percentile (%), mean ± SD | 98.5 ± 1.2 |
| Recruitment Site, % (n) | |
| | 51.2% (44) |
| | 17.4% (15) |
| | 23.3% (20) |
| | 8.1% (7) |
| Parent Highest Education Level, % (n) | |
| | 4.7% (4) |
| | 22.1% (19) |
| | 25.6% (22) |
| | 18.6% (16) |
| | 8.1% (7) |
| | 10.6% (9) |
| | 7.0% (6) |
| Parent Income Level, % (n)a | |
| | 2.3% (2) |
| | 8.1% (7) |
| | 10.5% (9) |
| | 8.1% (7) |
| | 1.2% (1) |
| Household size (total # of people), mean ± SD | 5.3 ± 1.7 |
| Government Assistance, % yes (n) | |
| | 18.6% (16) |
| | 79.1% (68) |
| | 40.7% (35) |
| | 1.2% (1) |
| | 7.0% (6) |
| | 1.2% (1) |
Abbreviations: BMI=Body mass index; SD=Standard deviation; WIC=Special Supplemental Nutrition Program for Women, Infant, and Children
aParental income level had 60 individuals indicating do not know or refused to answer
Fig. 3Institutional Pathway for Identification and Reporting Incidental (IFs) and Reportable Findings
Reportable and Incidental Findings for Study Cohort with National Prevalence, Recommendations, and Potential Implications of Condition
| Condition | Study Proportion | Population Prevalence | Recommendations | Implication and Differential Diagnosis |
|---|---|---|---|---|
| Cholelithiasis | 2.3% (2) | 1.9–4.0% [ | • Evaluation by PCP. • If child develops abdominal pain, vomiting, or fever, please go to the ED. | • No evidence of inflammation most likely indicates no acute health problems. |
| Horseshoe kidney | 1.2% (1) | 0.16% [ | • Evaluation by PCP. • Referral to Pediatric Nephrologist. | • Increased risk for hydronephrosis, urinary obstruction, renal calculi, and urinary tract infections. |
| Left lung lesion | 1.2% (1) | Not applicable | • Evaluation by PCP. • Referral to Pediatric Pulmonologist. | • Possible causes include pneumonia, granulomatous disease, and metastatic cancer. |
| Hepatic cyst | 1.2% (1) | 2.5% [ | • Evaluation by PCP. • Referral to Pediatric Gastroenterologist. • Liver ultrasound. | • Most likely benign, however other possible causes include neoplasm, abscess, and hemangioma. |
| Renal cyst | 2.3% (2) | 0.1–0.25% (ADPKD) [ 0.003–0.01% (ARPKD) [ | • Evaluation by PCP. • Referral to Pediatric Nephrologist. • Renal ultrasound. | • Most likely benign, however may represent congenital or acquired polycystic kidney disease. |
| Ovarian cyst(s) | 2.3% (2) | 6–20% [ | • Evaluation by PCP. | • Most likely benign and will resolve without intervention. • May be suggestive of polycystic ovarian syndrome. |
| Severely elevated liver fat > 10%a,b | 16.3% (14) | 9.6% [ | • Evaluation by PCP. • Referral to Pediatric Gastroenterologist. | • Most likely etiology is nonalcoholic fatty liver disease, however, cannot rule out other potential causes of liver fat. |
Abbreviations: ADPKD = Autosomal Dominant Polycystic Kidney Disease; ARPKD = Autosomal Recessive Polycystic Kidney Disease; ED = Emergency Department; PCP = Primary Care Physician
*Asterisk indicates the population prevalence is specific to pediatrics
a This is based on prevalence of non-alcoholic fatty liver disease (NAFLD) as defined by liver fat > 5.5%. NAFLD prevalence increases among Hispanic youth (11.8%) and youth with obesity (38%)
b Severely elevated liver fat was deemed a reportable finding based upon discussions with the IRB
Recommendations and Considerations for Addressing Incidental and Reportable Findings in Pediatric Research
| Area. | Recommendation |
|---|---|
| Funding agencies | Allocate fund use when an incidental finding is discovered to assist in provision of follow-up care, particularly among underserved populations that lack access to specialty care and/or insurance. |
| Scientific Organizations | Establish best practices and scientific statements to guide pediatric researchers who encounter incidental findings during investigations |
| Informed Consent | Clearly explain the nondiagnostic intent of the MRI as well as the possibility of discovering unrelated, unintended but potentially clinically relevant findings. |
| Study design | Track the impact of incidental finding communication to the participant and their family, including additional clinical visits and diagnostic tests, to better assess the financial and time-related costs and potential health benefits. |
| Methodology | Develop a process for how incidental findings will be identified and communicated among members of the research team as well as to families and primary care providers. |