Patient Characteristics Associated with Telemedicine Use for Diabetes Mellitus Care: Experience of a University Health System.

OBJECTIVES: The objective was to understand the characteristics of patients who used telemedicine for diabetes management to inform future implementation of telemedicine. METHODS: We examined patient characteristics associated with telemedicine use for diabetes mellitus (DM) care between March 1, 2020 and April 1, 2021 (the coronavirus disease 2019 pandemic period) in a large university health system when telemedicine visits increased rapidly. Logistic regression models assessed patient characteristics associated with telemedicine visits and delays in DM process measures (hemoglobin A1c checks, nephropathy, and retinopathy evaluations) during the pandemic period after adjusting for potential confounders and corresponding values before the pandemic period (March 1, 2019-February 29, 2020). RESULTS: A total of 45,159 patients were seen from 987,791 visits during the pandemic period. The number of visits averaged one visit less during the pandemic period than before the pandemic period. Approximately 5.4% of patients used telemedicine during the pandemic period from 42,750 visits. The mean (standard deviation) telemedicine visit was 1.28 (0.91). Men, Asian, Black, and other race (vs White), having Medicare or uninsured (vs private insurance), were less likely to use telemedicine. Patients with more visits before the pandemic period were more likely to use telemedicine and less likely to experience a delay in DM process measures during the pandemic period. Telemedicine users were 18% less likely to experience a delay in nephropathy visits than nonusers, but without difference for other process measures. CONCLUSIONS: Race, sex, insurance, and prepandemic in-person visits were associated with telemedicine use for DM management in a large health system. Telemedicine use was not associated with delays in hemoglobin A1c testing, nephropathy, and retinopathy assessments. Understanding reasons for not using telemedicine is important to be able to deliver equitable DM care.

Incidence, Predictors, and Prognosis of Acute Kidney Injury Among Cardiac Arrest Survivors.

BACKGROUND: Acute kidney injury (AKI) is common among cardiac arrest survivors. However, the outcomes and predictors are not well studied. METHODS: This is a cohort study of cardiac arrest patients enrolled from January 2012 to December 2016 who were able to survive for 24 hours post-cardiopulmonary resuscitation. Patients with anuria, chronic kidney disease (stage 5), and end-stage renal disease were excluded. Acute kidney injury (stage 1) or higher was defined using Kidney Disease: Improving Global Outcomes classification. Multivariable adjusted regression models were used to compute hazard ratio (HR) for association of AKI with risk of mortality and odds ratio (OR) with risk of poor neurological outcomes after adjusting for demographics, comorbidities, and medical therapy. Multivariable logistic regression model was used to compute OR for association of various predictors with AKI. RESULTS: Of 842 cardiac arrest survivors, 588 (69.8%) developed AKI. Among AKI patients, 69.4% died compared with 52.0% among non-AKI patients. In multivariable adjusted Cox proportional hazard model, development of AKI post-cardiac arrest was significantly associated with mortality (HR: 1.35; 95% confidence interval [CI]: 1.07-1.71, P = .01) and poor neurological outcomes defined as cerebral performance category >2 (OR: 2.27; 95% CI: 1.45-3.57, P < .001) and modified Rankin scale >3 (OR: 2.22; 95% CI: 1.43-3.45, P < .001). Postdischarge dialysis was also associated with increased risk of mortality (HR: 2.57; 95% CI: 1.57-4.23, P < .001). Use of vasopressors was strongly associated with development of AKI and continued need for postdischarge dialysis. CONCLUSIONS: Acute kidney injury was associated with increased risk of mortality and poor neurological outcomes. There is need for further studies to prevent AKI in cardiac arrest survivors.

Association of Alcohol Consumption and Ideal Cardiovascular Health Among South Asians: The Mediators of Atherosclerosis in South Asians Living in America (MASALA) Study.

BACKGROUND: Observational studies have shown that alcohol consumption above the recommended limit is associated with increased cardiovascular disease (CVD), although its association in South Asians is unclear. Less is known regarding the association between alcohol consumption and cardiovascular health (CVH), assessed by the American Heart Association's Life's Simple 7 (LS7) health metrics among those with South Asian ancestry. METHODS: This analysis included 701 participants without CVD from the Mediators of Atherosclerosis in South Asians Living in America (MASALA) cohort (2015 to 2018). Based on a personal history questionnaire, participants were divided into never, former, and current drinkers. The current drinking category was further classified into 1 to 3 drinks/wk, 4 to 7 drinks/wk, and >7 drinks/wk. The consumption of 5 or more drinks on 1 occasion in the past month was defined as binge drinking. Each LS7 component was given a point score of 0, 1, or 2. The total score was categorized into 0 to 6, 7 to 10, and 11 to 14 to represent poor, intermediate, and ideal CVH, respectively. We use multinomial logistic regression to examine the association between alcohol consumption and CVH. RESULTS: In the MASALA cohort (mean age = 59 years, 43% female), participants consuming >7 drinks/wk had the lowest mean CVH score. Compared with never drinkers, male participants consuming >7 drinks/wk were less likely to have intermediate CVH (0.44 [0.08, 0.91]) and ideal CVH (0.23 [0.03, 0.96]). Binge drinking was associated with significantly lower odds of ideal CVH compared with never drinkers. CONCLUSION: We found evidence of an inverse association of moderate to heavy alcohol consumption and ideal CVH in South Asian men. These findings further underscore the important relationship between alcohol consumption and CVH in this unique population of South Asians.

Impact of low fasting plasma glucose on mortality in the general population.

BACKGROUND: While the association between hypoglycaemia and poor outcomes in diabetes is well established, it is unclear whether such an association is generalizable to those without diabetes. METHODS: A total of 8497 participants free of cardiovascular disease and diabetes from the Third National Health and Nutrition Examination Survey were included. We examined the relationship between baseline low (<80 mg/dL) and high (⩾126 mg/dL) fasting plasma glucose compared to normal levels (80-99 mg/dL). RESULTS: Over a median follow-up of 14 years, 2101 deaths occurred, of which 570 were due to cardiovascular disease. In a model adjusted for sociodemographic and cardiovascular disease risk factors, individuals with low fasting plasma glucose were at increased risk of cardiovascular disease and all-cause mortality [hazard ratio = 1.79 (95% confidence interval = 1.04-3.08) and hazard ratio = 1.35 (95% confidence interval = 1.02-1.78), respectively], compared to those with normal fasting plasma glucose. These associations were stronger among men than women for both cardiovascular disease mortality and all-cause mortality. CONCLUSION: Low fasting plasma glucose in individuals without diabetes is a risk factor for cardiovascular disease and all-cause mortality, especially in men.

QRS duration is associated with all-cause mortality in type 2 diabetes: The diabetes heart study.

BACKGROUND: QRS-duration predicts mortality in patients with heart failure and, to a lesser extent, the general population. However, in patients with diabetes, its prognostic significance is unknown. To better understand how QRS-duration relates to mortality among those with diabetes, we explored survival as a function of QRS-duration in the Diabetes Heart Study. METHODS: The study population included 1335 participants. Cox proportional hazards modeling was used to evaluate the relationship between QRS-duration and all-cause mortality, comparing those with QRS-duration ≤120 vs. >120 (ms). Multivariable models adjusted for age, sex, race, hypertension, smoking, years with diabetes, BMI, systolic blood pressure, cholesterol, triglycerides, glomerular filtration rate, and hemoglobin A1c. RESULTS AND CONCLUSIONS: Participants were: mean age 61 ± 9, 55% women, 83% white; 99 participants (7.5%) had a QRS-duration >120. After 11,000 person-years of follow-up (median 8.5 years; maximum 13.9 years), 266 participants had died (20%). Participants with baseline QRS-duration >120 had an adjusted hazard ratio for all-cause mortality of 1.56 (95% CI 1.05-2.24; p = 0.027). Modeling QRS-duration as a continuous variable, we found an 11% increase in all-cause mortality for each 10 ms increase in QRS-duration. In conclusion, QRS-duration is associated with subsequent all-cause mortality among those with type 2 diabetes-participants with QRS-duration >120 ms had a 56% increase in all-cause mortality, even after adjustment for conventional risk factors. Given the ubiquitous presence of ECG data in the medical record, QRS-duration may prove to be a useful prognostic measure, especially among those with diabetes.

Relation of Minor Electrocardiographic Abnormalities to Cardiovascular Mortality.

Although minor electrocardiographic (ECG) abnormalities are common findings in clinical practice, their prognostic significance remains unclear due to inconsistent reports. We hypothesized that this inconsistency is due to the traditional focus on examining their prognostic significance as a binary variable (i.e., presence vs absence of any abnormality) ignoring the number of abnormalities. We tested this hypothesis in 6,467 participants (mean age 59 years, 53% women) from the Third National Health and Nutrition Examination Survey who were free of baseline cardiovascular disease (CVD) and major ECG abnormalities. ECG abnormalities were defined from digitally recorded and centrally processed standard electrocardiograms using the Minnesota ECG Classification. CVD mortality was ascertained using National Death Index. About 38% of participants (n = 2,438) had at least 1 minor ECG abnormality at baseline. During a median follow-up of 13.9 years, 755 CVD deaths occurred. In a multivariable Cox model, presence of at least 1 minor ECG abnormality was marginally associated with increased risk of CVD mortality (hazard ratio (95% confidence interval):1.15(1.00,1.34), p-value = 0.04)). However, as the number of ECG abnormalities increases, the association with CVD mortality showed a dose-response relation (event rate per 1,000 person-year of 7.3, 10.1, and 16.7 in participants with 0, 1, and ≥2 ECG abnormalities, respectively; p-value for trend <0.01). Also, each additional minor ECG abnormality was associated with a 13% increased risk of CVD mortality (hazard ratio (95% confidence interval): 1.13(1.04, 1.24)). In conclusion, the number, not only the mere presence of minor ECG abnormalities should be taken into account to understand the prognostic significance of these common findings.

Relationship between P-wave duration and the risk of atrial fibrillation.

INTRODUCTION: P-wave duration (PWD) is an electrocardiographic (ECG) marker reflecting atrial conduction, and studies have shown that its prolongation is associated with atrial fibrillation. Areas covered: This review addresses the relationship between PWD and atrial fibrillation, how anatomic and physiologic changes in the atria potentiate the risk for atrial fibrillation, and how these atrial anatomic and physiologic changes relate to PWD. Other P-wave related entities, such as P-wave terminal force in V1, PR interval, and P wave axis are also addressed. Expert commentary: Atrial fibrillation is a manifestation of the underlying atrial disease. Fibrotic collagen deposition interrupts the electrical flow and thus can potentiate the transition from sinus rhythm to atrial fibrillation. PWD is an ECG parameter that provides insight into the intricacies of the atria and could be a useful marker for assessing the risk for atrial fibrillation. The main obstacle for broad utilization of PWD is that it is not routinely reported on the printout of the electrocardiogram.