Distance from the endocrinology clinic and diabetes control in a rural pediatric population

Specialty follow -up care after hospital discharge of patients with multisystem inflammatory syndrome in children associated with COVID-19 from a rural tertiary-care hospital

BACKGROUND

The clinical features of Multisystem Inflammatory Syndrome in Children (MIS-C) have been well documented, but there is limited data regarding the short term and longitudinal outcomes of children living in rural areas. We report the demographic and clinical features, as well as the multi-specialty follow-up of patients with MIS-C served by a large tertiary care rural health system.

METHODS

Patients that met the Centers for Disease Control (CDC) case definition of MIS-C admitted between March 1, 2020, and March 31, 2021, were included in this case series. Manual chart review was used to report demographic characteristics, clinical, laboratory and radiologic features during acute hospitalization and multispecialty follow-up, and adherence to follow-up 6-10 weeks after hospital discharge.

RESULTS

Twenty-one patients with MIS-C were admitted at our center during the review period. Ninety percent of the cohort required intensive care during hospitalization. Of 19 patients with measured ejection fractions, 52 % had some degree of left ventricular dysfunction on admission; nine patients had electrocardiogram changes on admission. The majority of patients had elevated inflammatory markers during hospitalization. Most patients had resolution of symptoms, improvement in inflammatory markers, and normal cardiac function at the time of discharge. Follow-up with pediatric cardiology, hematology-oncology and infectious disease was indicated for most patients at discharge. Of these, 100 % of patients kept initial follow-up appointments with pediatric cardiology and infectious disease, while 94 % kept initial follow-up appointments with pediatric hematology-oncology.

CONCLUSION

Though most patients were critically ill during hospitalization, the majority had resolution of cardiac abnormalities and inflammatory markers at discharge and timely follow-up with multiple subspecialists after admission with MIS-C.

Disparities in Continuous Glucose Monitor Use Between Children With Type 1 Diabetes Living in Urban and Rural Areas

OBJECTIVE

Despite evidence that continuous glucose monitoring (CGM) use is associated with lower HbA1c among children with type 1 diabetes, uptake of this technology remains lower among those with difficulty accessing health care, including those from lower socioeconomic status backgrounds and racial and ethnic minorities. In this study, we sought to explore the impact of rural location in use of CGM technology to guide patient and provider decision making.

RESEARCH DESIGN AND METHODS

In this retrospective study of electronic health record demographic and visits data from a single diabetes program from 1 January 2018 through 31 December 2021, we compared the odds of completing a visit with (+) and without (-) CGM interpretation between rural-urban commuting area (RUCA) designations.

RESULTS

Among the 13,645 visits completed by 2,008 patients with type 1 diabetes younger than age 18 years, we found children living in small rural towns had 31% lower odds (6.3% of CGM+ visits, 8.6% of CGM- visits; adjusted odds ratio [aOR] 0.69, 95% CI 0.51-0.94) and those living in isolated rural towns had 49% lower odds (2.0% of CGM+ visits, 3.4% of CGM- visits; aOR 0.51, 95% CI 0.28-0.92) of completing a CGM-billed clinic visit compared with those living in urban areas (70.0% of CGM+ visits, 67.2% of CGM- visits). We also found significant differences in CGM-billed visits by neighborhood deprivation as well as race/ethnicity and insurance payor.

CONCLUSIONS

Geographic location presents a meaningful barrier to access to care for patients living with type 1 diabetes. Further work is needed to identify and address the needs of children and families living in rural areas to improve the care of these patients.

Health System Encounters after Loss to Cardiology Follow-Up among Patients with Congenital Heart Disease

OBJECTIVE

To analyze receipt of care at other locations within a single rural academic health system after loss to follow-up in a cardiology clinic.

STUDY DESIGN

Patients with congenital heart defects seen in the clinic during 2018 and subsequently lost to cardiology follow-up were included in the study. We defined loss to follow-up as not being seen in the clinic for at least 6 months past the most recently recommended follow-up visit. Subsequent visits to other locations, including other subspecialty clinics, primary care clinics, the emergency department, and the hospital, were tracked through 2020.

RESULTS

Of 235 patients (median age 7 years, 136/99 female/male), 96 (41%) were seen elsewhere in the health system. Of 96 patients with any follow-up, 40 were seen by a primary care provider and 46 by another specialist; 44 were seen in the emergency department and 12 more were hospitalized. Patients with medical comorbidities or Medicaid insurance and those living closer to the clinic were more likely to continue receiving care within the same health system.

CONCLUSIONS

Patients with congenital heart defect are frequently lost to cardiology follow-up. Our study supports collaboration across specialties and between cardiology clinics and affiliated emergency departments to identify patients with congenital heart defect who have been lost to cardiology follow-up but remain within the health system. A combination of in-person and remote outreach to these patients may help them continue cardiology care.

Retrospective national cohort study of pregnancy outcomes for women with type 1 and type 2 diabetes mellitus in Republic of Ireland

AIM

Report the outcomes of pregnant women with type 1 and type 2 diabetes and to identify modifiable and non-modifiable factors associated with poor outcomes.

METHODS

Retrospective analysis of pregnancy preparedness, pregnancy care and outcomes in the Republic of Ireland from 2015 to 2020 and subsequent multivariate analysis.

RESULTS

In total 1104 pregnancies were included. Less than one third attended pre-pregnancy care (PPC), mean first trimester haemoglobin A1c was 7.2 ± 3.6% (55.5 ± 15.7 mmol/mol) and 52% received pre-conceptual folic acid. Poor preparation translated into poorer pregnancy outcomes. Livebirth rates (80%) were comparable to the background population however stillbirth rates were 8.7/1000 (four times the national rate). Congenital anomalies occurred in 42.5/1000 births (1.5 times the background rate). More than half of infants were large for gestational age and 47% were admitted to critical care. Multivariate analyses showed strong associations between non-attendance at PPC, poor glycaemic control and critical care admission (adjusted odds ratio of 1.68 (1.48-1.96) and 1.61 (1.43-1.86), p < 0.05 respectively) for women with type 1 diabetes. Smoking and teratogenic medications were also associated with critical care admission and hypertensive disorders of pregnancy.

CONCLUSION

Pregnancy outcomes in women with diabetes are suboptimal. Significant effort is needed to optimize the modifiable factors identified in this study.