Nia Mitchell

There is tremendous interest in understanding how neighborhoods impact health by linking extant social and environmental drivers of health (SDOH) data with electronic health record (EHR) data. Studies quantifying such associations often use static neighborhood measures. Little research examines the impact of gentrification-a measure of neighborhood change-on the health of long-term neighborhood residents using EHR data, which may have a more generalizable population than traditional approaches. We quantified associations between gentrification and health and healthcare utilization by linking longitudinal socioeconomic data from the American Community Survey with EHR data across two health systems accessed by long-term residents of Durham County, NC, from 2007 to 2017. Census block group-level neighborhoods were eligible to be gentrified if they had low socioeconomic status relative to the county average. Gentrification was defined using socioeconomic data from 2006 to 2010 and 2011-2015, with the Steinmetz-Wood definition. Multivariable logistic and Poisson regression models estimated associations between gentrification and development of health indicators (cardiovascular disease, hypertension, diabetes, obesity, asthma, depression) or healthcare encounters (emergency department [ED], inpatient, or outpatient). Sensitivity analyses examined two alternative gentrification measures. Of the 99 block groups within the city of Durham, 28 were eligible (N = 10,807; median age = 42; 83% Black; 55% female) and 5 gentrified. Individuals in gentrifying neighborhoods had lower odds of obesity (odds ratio [OR] = 0.89; 95% confidence interval [CI]: 0.81-0.99), higher odds of an ED encounter (OR = 1.10; 95% CI: 1.01-1.20), and lower risk for outpatient encounters (incidence rate ratio = 0.93; 95% CI: 0.87-1.00) compared with non-gentrifying neighborhoods. The association between gentrification and health and healthcare utilization was sensitive to gentrification definition.

High blood pressure (BP) is the leading cause of worldwide cardiovascular disease morbidity and mortality. Patients and clinicians dealing with hypertension have benefited from the evidence of event-based randomized controlled clinical trials. One result from those trials has been the development of evidence-based guidelines. The commitment to using evidence from these event-based randomized trials has been a cornerstone in the development of guideline treatment recommendations. However, in some situations, evidence from event-based trials is not available to guideline writers or clinicians for assistance in treatment decision making. Such is the case for the management of many patients with stage 1 hypertension. The purpose of this scientific statement is to provide information complementary to the 2017 Hypertension Clinical Practice Guidelines for the patient with untreated stage 1 hypertension (systolic BP/diastolic BP, 130-139/80-89 mm Hg) with a 10-year risk for atherosclerotic cardiovascular disease <10% who fails to meet the systolic BP/diastolic goal (<130/80 mm Hg) after 6 months of guideline-recommended lifestyle therapy. This statement provides evidence from sources other than event-based randomized controlled clinical trials and offers therapy options for consideration by clinicians.

Overweight and obese children in low-income households have limited access to weight loss programs. Low-cost programs should be evaluated in this population. The objective of the current study is to determine weight change among 7 to 17-year-old participants in Take Off Pounds Sensibly (TOPS), a national, low-cost weight loss program. This nonconcurrent prospective study analyzes the cumulative change in weight z-score for overweight and obese children and adolescents who joined TOPS from 2008 to 2011 and consecutively renewed their annual membership. The study includes 586 individuals. At 1-year, cumulative mean (SD) weight z-score change was −0.13 (31). In general, mean change in weight z-scores was no different in subsequent years. Mean weight z-score of children and adolescent TOPS participants who renew their program membership decreased significantly in the first year. Randomized controlled trials should prospectively evaluate this program in children and adolescents.

Observational studies suggest outpatient metformin use is associated with reduced mortality from coronavirus disease-2019 (COVID-19). Metformin is known to decrease interleukin-6 and tumor-necrosis factor-α, which appear to contribute to morbidity in COVID-19. We sought to understand whether outpatient metformin use was associated with reduced odds of severe COVID-19 disease in a large US healthcare data set. Retrospective cohort analysis of electronic health record (EHR) data that was pooled across multiple EHR systems from 12 hospitals and 60 primary care clinics in the Midwest between March 4, 2020 and December 4, 2020. Inclusion criteria: data for body mass index (BMI) > 25 kg/m2 and a positive SARS-CoV-2 polymerase chain reaction test; age ≥ 30 and ≤85 years. Exclusion criteria: patient opt-out of research. Metformin is the exposure of interest, and death, admission, and intensive care unit admission are the outcomes of interest. Metformin was associated with a decrease in mortality from COVID-19, OR 0.32 (0.15, 0.66; p = .002), and in the propensity-matched cohorts, OR 0.38 (0.16, 0.91; p = .030). Metformin was associated with a nonsignificant decrease in hospital admission for COVID-19 in the overall cohort, OR 0.78 (0.58-1.04, p = .087). Among the subgroup with a hemoglobin HbA1c available (n = 1193), the adjusted odds of hospitalization (including adjustment for HbA1c) for metformin users was OR 0.75 (0.53-1.06, p = .105). Outpatient metformin use was associated with lower mortality and a trend towards decreased admission for COVID-19. Given metformin's low cost, established safety, and the mounting evidence of reduced severity of COVID-19 disease, metformin should be prospectively assessed for outpatient treatment of COVID-19.

PURPOSE OF REVIEW: Obesity and diabetes contribute to chronic kidney disease (CKD) and accelerate the loss of kidney function. Low carbohydrate diets (LCDs) are associated with weight loss and improved diabetes control. Compared to the typical Western diet, LCDs contain more protein, so individuals with CKD are not included in studies of LCDs. Therefore, there are no studies of LCDs for weight loss and their effects on kidney function. RECENT FINDINGS: Obesity, hyperglycemia, and hyperinsulinemia can be detrimental to kidney function. LCDs may improve kidney function in patients with obesity and diabetes because they are associated with weight loss, improve blood sugar control, and decrease endogenous insulin production and exogenous insulin requirements. SUMMARY: In this study, for patients with mildly reduced and moderately to severely reduced kidney function who were prescribed an LCD, their estimated glomerular filtration rate (eGFR) was either unchanged or improved. For those with normal or elevated eGFR, their kidney function was slightly decreased. For those without diabetes, greater weight loss was associated with improved eGFR. Future studies should prospectively measure low carbohydrate dietary adherence and physical activity and directly measure changes in GFR and albuminuria for participants with CKD before and during that diet.