Impact of Nonalcoholic Fatty Liver Disease (NAFLD) on Weight Loss After Bariatric Surgery.

OBJECTIVE: Obesity and associated comorbidities, such as NAFLD, impose a major healthcare burden worldwide. Bariatric surgery remains the most successful approach for sustained weight loss and the resolution of obesity-related complications. However, the impact of preexisting NAFLD on weight loss after bariatric surgery has not been previously studied. The goal of this study is to assess the impact of preexisting NAFLD on weight loss outcomes up to 5 years after weight loss surgery. RESEARCH DESIGN AND METHODS: Data from the Michigan Bariatric Surgery Cohort (MI-BASiC) was extracted to examine the effect of baseline NAFLD on weight loss outcomes. The cohort included a total of 714 patients older than 18 years of age undergoing gastric bypass (GB; 380 patients) or sleeve gastrectomy (SG; 334 patients) at the University of Michigan between January 2008 and November 2013. Repeated measure analysis was used to determine if preexisting NAFLD was a predictor of weight loss outcomes up to 5 years post-surgery. RESULTS: We identified 221 patients with an established clinical diagnosis of NAFLD at baseline. Multivariable repeated measure analysis with adjustment for covariates shows that patients with preexisting NAFLD had a significantly lower percentage of total and excess weight loss compared to patients without preexisting NAFLD. Furthermore, our data show that baseline dyslipidemia is an indicator of the persistence of NAFLD after bariatric surgery. CONCLUSIONS: Our data show that patients' body weight loss in response to bariatric surgery is impacted by factors such as preexisting NAFLD. Additionally, we show that NAFLD may persist or recur in a subset of patients after surgery, and thus careful continued follow-up is recommended.

New-Onset Graves' Disease With Thyroid Storm After COVID-19 Infection.

COVID-19 has been a known cause of triggering autoimmune conditions. Previous literature demonstrates an increase in the incidence of Graves' disease during the COVID-19 pandemic. The virus is thought to affect genetics, leading to a cascade of events that cause hyperthyroidism. In our case, an 81-year-old male presented with symptoms of palpitations, tremors, dizziness, diarrhea, and fatigue. He was found to be in atrial fibrillation with rapid ventricular response, and his workup was consistent with hyperthyroidism. Based on his Burch-Wartofsky score, the diagnosis of thyroid storm was made. There are a limited number of case reports with new-onset Graves' disease after COVID-19 infection. Interestingly, our patient was also in a thyroid storm. He was treated with hydrocortisone cholestyramine, potassium, and propylthiouracil. After treatment, his symptoms resolved, and his thyroid studies improved. We chose to present this case because it demonstrates one of the many autoimmune effects that COVID-19 has been linked to.

Effect of Long-Term Proton Pump Inhibitor Use on Glycemic Control in Patients with Type Two Diabetes Mellitus.

There have been conflicting results regarding the effect of proton pump inhibitors (PPIs) as an adjunctive therapy to oral antidiabetic medication (OAM) in those with type 2 diabetes (T2DM). PPIs increase gastrin levels, causing a rise in insulin. No studies have evaluated the duration of PPI therapy and its effect on glycemic control. Medical records across 8 hospitals between 2007 and 2016 were reviewed for 14,602 patients with T2DM (not on insulin therapy) taking PPIs. Values of HbA1c (baseline, follow-up, and the difference between the two) in those prescribed with PPIs and years of therapy were compared to HbA1c values of those who had no record of PPI use. Baseline and follow-up HbA1c for patients on PPIs were 6.8 and 7.0, respectively, compared to 7.1 and 7.2 in their untreated counterparts (p < 0.001 in both comparisons). For both groups, an increase in baseline HbA1c was seen with time. Those on PPI had an increase in HbA1c of 0.16 compared to 0.08 in those not prescribed PPI. Our results show no relationship between the length of PPI therapy and HbA1c reduction.

A quality improvement project to increase compliance with diabetes measures in an academic outpatient setting.

BACKGROUND: American Diabetes Association (ADA) sets annual guidelines on preventative measures that aim to delay the onset of severe diabetes mellitus complications. Compared to private internal medicine clinics, resident clinics provide suboptimal diabetic preventative care as evidenced by decreased compliance with ADA guidelines. The purpose of our study is to improve diabetic care in resident clinics through quality improvement (QI) projects, with A1C value as primary outcome and other ADA guidelines as secondary outcomes. METHODS: Our resident clinic at Beaumont Hospital, Royal Oak consists of 76 residents divided in 8 teams. In November 2016, baseline data on ADA guideline measures was obtained on 538 patients with diabetes mellitus. A root cause analysis was conducted. 5 teams developed a QI intervention plan to improve their diabetes care and 3 teams served as comparisons without intervention plans. In November 2017, post-intervention data was collected. RESULTS: Baseline characteristics demonstrate mean age of intervention groups at 60.9 years and of comparison groups at 58.9 years. The change in A1C value from baseline to post-intervention was + 0.09 vs. + 0.322 in the intervention and comparison groups respectively (p = 0.174). As a group, the changes in secondary outcome measures were as follows: eye examinations (+ 5% in intervention vs. -7% in comparison, p < 0.01), foot examinations (+ 13% vs. + 5%, p = 0.09), lipid panel testing (+ 7% vs. -5%, p < 0.01), micro-albumin/creatinine ratio testing (+ 4% vs. + 1%, p = 0.03), and A1C testing (+8% vs. + 5%, p = 0.24). CONCLUSIONS: While the QI project did not improve A1C value, it did have significant improvement in several secondary outcomes within intervention groups. One resident team implemented an intervention involving protected half-day blocks to identify overdue examinations and consequently had the largest improvements, thus serving as a potential intervention to further study. Given our study results, we believe that QI interventions improve preventative care for patients with diabetes in resident clinics.