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AbstractBackgroundThe optimal methods for measuring and analyzing anal resting and squeeze pressure with high‐resolution manometry (HRM) are unclear.MethodsAnal resting and squeeze pressures were measured with HRM in 90 healthy women, 35 women with defecatory disorders (DD), and 85 with fecal incontinence (FI). Pressures were analyzed with Manoview™ software and a customized approach. Resting pressures measured for 20, 60, and 300 s were compared. During the squeeze period, (3 maneuvers, 20 s each), the squeeze increment, which was averaged over 5, 10, 15, and 20 s, and squeeze duration were evaluated.ResultsCompared to healthy women, the anal resting pressure, squeeze pressure increment, and squeeze duration were lower in FI (p ≤ 0.04) but not in DD. The 20, 60, and 300 s resting pressures were strongly correlated (concordance correlation coefficients = 0.96–0.99) in healthy and DD women. The 5 s squeeze increment was the greatest; 10, 15, and 20 s values were progressively lower (p < 0.001). The squeeze pressure increment and duration differed (p < 0.01) among the three maneuvers in healthy and DD women but not in FI women. The upper 95th percentile limit for squeeze duration was 19.5 s in controls, 19.9 s in DD, and 19.3 s in FI. Adjusted for age, resting pressure, and squeeze duration, a greater squeeze increment was associated with a lower risk of FI versus health (OR, 0.96; 95% CI, 0.94–0.97).ConclusionsThese findings suggest that anal resting and squeeze pressures can be accurately measured over 20 s. In most patients, one squeeze maneuver is probably sufficient.

Cardiovascular disease surveillance involves quantifying the evolving population‐level burden of cardiovascular outcomes and risk factors as a data‐driven initial step followed by the implementation of interventional strategies designed to alleviate this burden in the target population. Despite widespread acknowledgement of its potential value, a national surveillance system dedicated specifically to cardiovascular disease does not currently exist in the United States. Routinely collected health care data such as from electronic health records (EHRs) are a possible means of achieving national surveillance. Accordingly, this article elaborates on some key strengths and limitations of using EHR data for establishing a national cardiovascular disease surveillance system. Key strengths discussed include the: (1) ubiquity of EHRs and consequent ability to create a more “national” surveillance system, (2) existence of a common data infrastructure underlying the health care enterprise with respect to data domains and the nomenclature by which these data are expressed, (3) longitudinal length and detail that define EHR data when individuals repeatedly patronize a health care organization, and (4) breadth of outcomes capable of being surveilled with EHRs. Key limitations discussed include the: (1) incomplete ascertainment of health information related to health care–seeking behavior and the disconnect of health care data generated at separate health care organizations, (2) suspect data quality resulting from the default information‐gathering processes within the clinical enterprise, (3) questionable ability to surveil patients through EHRs in the absence of documented interactions, and (4) the challenge in interpreting temporal trends in health metrics, which can be obscured by changing clinical and administrative processes.

Background: A composite metric for the quality of glycemia from continuous glucose monitor (CGM) tracings could be useful for assisting with basic clinical interpretation of CGM data. Methods: We assembled a data set of 14-day CGM tracings from 225 insulin-treated adults with diabetes. Using a balanced incomplete block design, 330 clinicians who were highly experienced with CGM analysis and interpretation ranked the CGM tracings from best to worst quality of glycemia. We used principal component analysis and multiple regressions to develop a model to predict the clinician ranking based on seven standard metrics in an Ambulatory Glucose Profile: very low–glucose and low-glucose hypoglycemia; very high–glucose and high-glucose hyperglycemia; time in range; mean glucose; and coefficient of variation. Results: The analysis showed that clinician rankings depend on two components, one related to hypoglycemia that gives more weight to very low-glucose than to low-glucose and the other related to hyperglycemia that likewise gives greater weight to very high-glucose than to high-glucose. These two components should be calculated and displayed separately, but they can also be combined into a single Glycemia Risk Index (GRI) that corresponds closely to the clinician rankings of the overall quality of glycemia (r = 0.95). The GRI can be displayed graphically on a GRI Grid with the hypoglycemia component on the horizontal axis and the hyperglycemia component on the vertical axis. Diagonal lines divide the graph into five zones (quintiles) corresponding to the best (0th to 20th percentile) to worst (81st to 100th percentile) overall quality of glycemia. The GRI Grid enables users to track sequential changes within an individual over time and compare groups of individuals. Conclusion: The GRI is a single-number summary of the quality of glycemia. Its hypoglycemia and hyperglycemia components provide actionable scores and a graphical display (the GRI Grid) that can be used by clinicians and researchers to determine the glycemic effects of prescribed and investigational treatments.

Introduction: The cardiac hormone atrial natriuretic peptide (ANP) plays a key role in blood pressure (BP) and metabolic homeostasis through guanylyl cyclase receptor-A. While the role of ANP in cardiovascular disease (CVD) has been extensively investigated, its role in metabolic regulation has only recently emerged. A genetic variant of the ANP gene (rs5068), which increases production of ANP and NT-proANP, is associated with lower blood pressure (BP), reduced risk for hypertension and a decreased prevalence of obesity and metabolic syndrome. Hypothesis: We hypothesized that sex differences in ANP may have an important role in cardiometabolic disease together with cardiovascular (CV) morbidity and mortality. Methods: We studied 1176 subjects (age > 45 years) in the general population from Olmsted County MN. Plasma ANP molecular forms were quantified. Metabolic and cardiorenal parameters, and detailed medical records were reviewed. The cardiometabolic protective action of the ANP gene variant rs5068 was also assessed. Subjects were followed for all-cause mortality and morbidity for 12 years. Results: Plasma ANP molecular forms were significantly lower in males compared to females. Males had higher BMI and greater incidence of myocardial infarction (MI), coronary artery disease and heart failure (HF). Males also had lower EF and HDL cholesterol and higher LA volume and LV mass, serum glucose, insulin and diastolic pressure. The presence of the rs5068 minor allele improved the cardiometabolic phenotype including BP and widespread metabolic parameters in males but not females. After adjustment by age, males had increased risk of all-cause mortality, HF, MI, and stroke. Conclusions: Males are characterized by a relative ANP deficiency compared to females and widespread prevalence of cardiometabolic disease and increased CV morbidity and mortality in the general population. We demonstrate that the cardiometabolic protective action of the ANP gene variant rs5068 minor allele is sex dependent and protective in males. These findings have diagnostic and therapeutic implications, particularly in males.

Background: Whether VTE risk can be further stratified among patients with neurologic disease and leg paresis is unknown. Objective: To identify independent risk factors for deep vein thrombosis (DVT) and pulmonary embolism (PE) among patients with neurologic disease and leg paresis. Methods: Using the population-based resources of the Rochester Epidemiology Project, we identified all Olmsted County, MN residents with incident DVT or PE over the 45-year period, 1966 to 2010. We performed a case-control study nested within the Olmsted County population with incident VTE associated with neurologic disease and leg paresis over the 18-year period, 1988-2010 (n=192). For each VTE case, we identified 1 Olmsted County resident with neurologic disease, leg paresis and no VTE (control) matched to each case on sex, date of birth (+/- 5 years), calendar year (+/- 1 year) and duration of medical records. Using conditional logistic regression, we tested duration of paresis (index-3 months, 3-12 months, and > 12 months), paresis etiology, and degree of immobility as potential risk factors for VTE after adjusting for other known VTE risk factors, including hospitalization for major surgery or acute medical illness, trauma/fracture, and active cancer. Results: In univariate analyses of the 192 pairs, trauma/fracture, hospitalization for major surgery or for acute medical illness, active cancer, duration of paresis, and degree of immobility were associated with VTE. In the multivariable analysis, hospitalization for acute medical illness, active cancer, degree of immobility (ambulatory without/with assistance, function from a wheelchair base, bed bound; OR: 2.60; 95%Cl: 1.65-4.11); p=<0.0001) were independent predictors of VTE. Conclusion: Among patients with neurologic disease and leg paresis, VTE risk can be further stratified by hospitalization for acute medical illness, active cancer and degree of immobility; these patients should be considered for VTE prophylaxis.

Background: Standard insulin infusion sets (IISs) are to be replaced every 2 to 3 days to avoid complications and diabetic ketosis due to set failure. This pivotal trial evaluated the safety and performance of a new extended-wear infusion set (EIS) when used for 7 days by adults with type 1 diabetes (T1D). Methods: This single-arm, nonrandomized trial enrolled adults (18–80 years of age) with T1D, who used their own MiniMed™ 670G system with insulin lispro or insulin aspart and the EIS for up to 7 days, across 12 consecutive wears. Safety endpoints included incidence of serious adverse events (SAEs), serious adverse device effects (SADEs), unanticipated adverse device effects (UADEs), severe hypoglycemia (SevHypo), severe hyperglycemia (SevHyper), diabetic ketoacidosis (DKA), and skin infection. The EIS failure rate due to unexplained hyperglycemia (i.e., suspected occlusion), the overall EIS survival rate, glycemic control outcomes (i.e., A1C, mean sensor glucose and time spent in established glucose ranges), total daily insulin delivered, and satisfaction with the EIS were determined. Results: The intention to treat population ( n = 259, 48% men, 45.0 ± 14.1 years) wore a total of 3041 EIS devices. No SADE, UADE, or DKA events was reported. Overall rates of SAEs, SevHypo, SevHyper, and skin infection were 3.8, 2.5, 104.1, and 20.1 events per 100 participant-years. The rate of EIS failure due to unexplained hyperglycemia at the end of day 7 was 0.1% (95% confidence interval [CI]: 0.03–0.51) and 0.4% (95% CI: 0.16–1.00) for insulin lispro and aspart use, respectively. Overall EIS survival rate at the end of day 7 was 77.8% (95% CI: 76.2–79.3), glycemic control did not change, and participants reported greater satisfaction with the EIS compared with standard IISs worn before the study ( P < 0.001). Conclusions: This investigation demonstrates that the EIS, when worn for up to 7 days, was safe and rated with high satisfaction, without adversely affecting glycemic control in adults with T1D. Clinical Trial Registration number: NCT04113694 ( https://clinicaltrials.gov/ct2/show/NCT04113694 ).