Challenges and Strategies for Inpatient Diabetes Management in Older Adults

Evaluation of a Pharmacist-Managed Diabetes Transitions of Care Medication Management Clinic

PURPOSE

The purpose of this study was to determine the impact of a pharmacist-managed transitions of care (TOC) clinic on outcomes in a posthospitalization population with diabetes.

METHODS

A retrospective single center cohort study utilized electronic health records to identify discharged patients followed by the inpatient endocrinology team. The primary outcome was 30-day readmission rates in the target population. Secondary outcomes include 90-day readmission rates, time to first follow-up, emergency department/urgent care encounters, change in A1C, retention with endocrinology, referrals for diabetes education, and types of interventions. The control group included patients prior to the initiation of the TOC clinic compared to patients seen in the TOC clinic, evenly matched by A1C. Readmission rates and other clinical data were queried up to 4 months after discharge.

RESULTS

Patients in the TOC cohort had similar 30-day readmission rates compared to the non-TOC cohort and were found to have lower A1C values within 120 days of discharge. Overall, patients in the TOC cohort were more likely to have a follow-up appointment and had closer follow-up after discharge.

CONCLUSION

This study highlights that although there was no difference in readmission rates, a pharmacist-managed diabetes TOC clinic may decrease time to follow-up and improve long-term diabetes outcomes.

The Role of the Diabetes Care and Education Specialist in the Hospital Setting

It is the position of Association of Diabetes Care & Education Specialists that all inpatient interdisciplinary teams include a diabetes care and education specialist to lead or support quality improvement initiatives that affect persons hospitalized with diabetes and/or hyperglycemia. This encompasses not only patient, family, and caregiver education but also education of interdisciplinary team members and achievement of diabetes-related organizational quality metrics and performance outcomes.

Impact of Sex and Metabolic Comorbidities on Coronavirus Disease 2019 (COVID-19) Mortality Risk Across Age Groups: 66 646 Inpatients Across 613 U.S. Hospitals

BACKGROUND

The relationship between common patient characteristics, such as sex and metabolic comorbidities, and mortality from coronavirus disease 2019 (COVID-19) remains incompletely understood. Emerging evidence suggests that metabolic risk factors may also vary by age. This study aimed to determine the association between common patient characteristics and mortality across age-groups among COVID-19 inpatients.

METHODS

We performed a retrospective cohort study of patients discharged from hospitals in the Premier Healthcare Database between April-June 2020. Inpatients were identified using COVID-19 ICD-10-CM diagnosis codes. A priori-defined exposures were sex and present-on-admission hypertension, diabetes, obesity, and interactions between age and these comorbidities. Controlling for additional confounders, we evaluated relationships between these variables and in-hospital mortality in a log-binomial model.

RESULTS

Among 66 646 (6.5%) admissions with a COVID-19 diagnosis, across 613 U.S. hospitals, 12 388 (18.6%) died in-hospital. In multivariable analysis, male sex was independently associated with 30% higher mortality risk (aRR, 1.30, 95% CI: 1.26-1.34). Diabetes without chronic complications was not a risk factor at any age (aRR 1.01, 95% CI: 0.96-1.06), and hypertension without chronic complications was a risk factor only in 20-39 year-olds (aRR, 1.68, 95% CI: 1.17-2.40). Diabetes with chronic complications, hypertension with chronic complications, and obesity were risk factors in most age-groups, with highest relative risks among 20-39 year-olds (respective aRRs 1.79, 2.33, 1.92; P-values ≤ .002).

CONCLUSIONS

Hospitalized men with COVID-19 are at increased risk of death across all ages. Hypertension, diabetes with chronic complications, and obesity demonstrated age-dependent effects, with the highest relative risks among adults aged 20-39.