Outcomes of Referrals in Pediatric Patients With Peripheral Lymphadenopathy.

Lymphadenopathy is a common reason for referral to a subspecialist, which may result in significant anxiety for parents. Understanding which patients require a subspecialty referral for lymphadenopathy is key to streamlining health care utilization for this common clinical entity. This is an IRB-approved retrospective study examining pediatric patients consecutively referred to pediatric hematology oncology, otolaryngology, or surgery for lymphadenopathy from 2012 to 2021 at a free-standing tertiary-care children's hospital. Logistic regression was fitted to examine the association between the maximum size of the lymph nodes (LN) and a diagnosis of malignancy. The odds ratio, area under the receiver operator curve, sensitivity, and specificity were estimated. We found a significant association between LN size and cancer diagnosis. For every centimeter increase in the maximal dimension of LN, there was an estimated 2.3 times increase in the odds of malignancy (OR=2.3, 95% CI: 1.65-3.11; P<0.0001). The estimated area under the curve (0.84, 95% CI: 0.78-0.90) indicated that LN size correlated well with cancer diagnosis. A LN cut-off size of 2 cm resulted in an estimated sensitivity of 1.0 (95% CI: 0.87-1.00) and specificity of 0.54 (95% CI: 0.46-0.61). Maximum LN size may be a predictor of malignancy among pediatric patients with lymphadenopathy.

Assessment of longitudinal changes in body composition of children with lymphoma and rhabdomyosarcoma.

BACKGROUND: Studies examining changes in skeletal muscle and adipose tissue during treatment for cancer in children, adolescents, and young adults and their effect on the risk of chemotherapy toxicity (chemotoxicity) are limited. METHODS: Among 78 patients with lymphoma (79.5%) and rhabdomyosarcoma (20.5%), changes were measured in skeletal muscle (skeletal muscle index [SMI]; skeletal muscle density [SMD]) and adipose tissue (height-adjusted total adipose tissue [hTAT]) between baseline and first subsequent computed tomography scans at the third lumbar vertebral level by using commercially available software. Body mass index (BMI; operationalized as a percentile [BMI%ile]) and body surface area (BSA) were examined at each time point. The association of changes in body composition with chemotoxicities was examined by using linear regression. RESULTS: The median age at cancer diagnosis of this cohort (62.8% male; 55.1% non-Hispanic White) was 12.7 years (2.5-21.1 years). The median time between scans was 48 days (range, 8-207 days). By adjusting for demographics and disease characteristics, this study found that patients undergo a significant decline in SMD (ß ± standard error [SE] = -4.1 ± 1.4; p < .01). No significant changes in SMI (ß ± SE = -0.5 ± 1.0; p = .7), hTAT (ß ± SE = 5.5 ± 3.9; p = .2), BMI% (ß ± SE = 4.1 ± 4.8; p = .3), or BSA (ß ± SE = -0.02 ± 0.01; p = .3) were observed. Decline in SMD (per Hounsfield unit) was associated with a greater proportion of chemotherapy cycles with grade ≥3 nonhematologic toxicity (ß ± SE = 1.09 ± 0.51; p = .04). CONCLUSIONS: This study shows that children, adolescents, and young adults with lymphoma and rhabdomyosarcoma undergo a decline in SMD early during treatment, which is associated with a risk of chemotoxicities. Future studies should focus on interventions designed at preventing the loss of muscle during treatment. PLAIN LANGUAGE SUMMARY: We show that among children, adolescents, and young adults with lymphoma and rhabdomyosarcoma receiving chemotherapy, skeletal muscle density declines early during treatment. Additionally, a decline in skeletal muscle density is associated with a greater risk of nonhematologic chemotoxicities.

Predictors of intent to utilize the emergency department among a free clinic's patients.

OBJECTIVE: Primary care use helps reduce utilization of more expensive modes of care, such as the emergency department (ED). Although most studies have investigated this association among patients with insurance, few have done so for patients without insurance. We used data from a free clinic network to assess the association between free clinic use and intent to use the ED. METHODS: Data were collected from a free clinic network's electronic health records on adult patients from January 2015 to February 2020. Our outcome was whether patients reported themselves as 'very likely' to visit the ED if the free clinics were unavailable. The independent variable was frequency of free clinic use. Using a multivariable logistic regression model, we controlled for other factors, such as patient demographic factors, social determinants of health, health status, and year effect. RESULTS: Our sample included 5008 visits. When controlling for other factors, higher odds of expressing ED interest were observed for patients who are non-Hispanic Black, older, not married, lived with others, had lower education, were homeless, had personal transportation, lived in rural areas, and had a higher comorbidity burden. In sensitivity analyses, higher odds were observed for dental, gastrointestinal, genitourinary, musculoskeletal, or respiratory conditions. CONCLUSIONS: In the free clinic space, several patient demographic, social determinants of health and medical conditions were independently associated with greater odds of reporting intent on visiting the ED. Additional interventions that improve access and use of free clinics (e.g., dental) may keep patients without insurance from the ED.