Application of the Sleep C.A.L.M. Tool for Assessing Nocturia in a Large Nationally Representative Cohort.

PURPOSE: Nocturia significantly impacts patients' quality of life but remains insufficiently evaluated and treated. The "Sleep C.A.L.M." system categorizes the factors thought to collectively reflect most underlying causes of nocturia (Sleep disorders, Comorbidities, Actions [i.e., modifiable patient behaviors such as excess fluid intake], Lower urinary tract dysfunction, and Medications). The purpose of this study was to assess the association of nocturia with the Sleep C.A.L.M. categories using a nationally representative dataset. METHODS: Retrospective analysis of the National Health and Nutrition Examination Survey from 2013/14-2017/18 cycles was conducted. Pertinent questionnaire, laboratory, dietary, and physical examination data were used to ascertain the presence of Sleep C.A.L.M. categories in adults ≥20 years of age. Nocturia was defined as ≥2 nighttime voids. RESULTS: A total of 12,274 included subjects were included (51.6% female; median age, 49.0 years [interquartile range, 34.0-62.0 years]; 27.6% nocturia). Among subjects with nocturia, the prevalence of 0, ≥1, and ≥2 Sleep C.A.L.M. categories was 3.5% (95% confidence interval [CI], 2.8%-4.4%), 96.5% (95% CI, 95.6%-97.2%), and 81.2% (95% CI, 78.9%-83.3%), respectively. Compared to those with 0-1 Sleep C.A.L.M. categories, the adjusted odds of nocturia in subjects with 2, 3, and 4-5 Sleep C. A.L.M. categories were 1.77 (95% CI, 1.43-2.21), 2.33 (1.89-2.87), and 3.49 (2.81-4.35), respectively (P<0.001). Similar trends were observed for most age and sex subgroups. When assessed individually, each of the 5 Sleep C.A.L.M. categories were independently associated with greater odds of nocturia, which likewise persisted across multiple age and sex subgroups. CONCLUSION: Sleep C.A.L.M. burden is associated with increased odds of nocturia in a dose-dependent fashion, and potentially a relevant means by which to organize the underlying etiologies for nocturia among community-dwelling adults.

Association Between Social Vulnerability Index and Mortality Following Acute Myocardial Infarction in the US Counties.

Social determinants of health (SDOH) play a major role in cardiovascular outcomes. The social vulnerability index (SVI) is a tool designed by the Center for Disease Control (CDC) to measure a community's vulnerability to respond and recover from disasters. The parameters of SVI can be used to gauge social disparities amongst different US counties and its association with acute myocardial infarction (AMI) related to age- adjusted mortality rate (AAMR) by using the multiple causes of death database from CDC, Prevention's Wide-Ranging Online Data for Epidemiological Research (WONDER 2016-2020) and Agency for Toxic Substances and Disease Registry (ATSDR). We used segmented regression models to evaluate the association between quintiles of SVI scores and AAMR using STATA. A total of 2908 of 3289 US counties were used in the analysis. The mean AAMR was 89.3 per 100,000 (95% CI: 87.1-91.5) from 2016 to 2020. US counties with higher SVI were associated with higher AMI-related age-adjusted mortality when compared to counties with lower SVI. Counties with the highest SVI and AAMR were in the mid-western and southern states The findings of our study can guide focused care for a uniform upliftment of CV health across the nation by identifying the distribution of socio-economically disadvantaged counties.

Evaluating Gender-based Differences in Clinical Outcomes for Patients Undergoing Left Atrial Appendage Occlusion: A Single Centre Experience.

There is emerging recent data that has shown women to be more prone to in-hospital major adverse events after trans catheter left atrial appendage occlusion. Institutional LAAO registry at West Virginia University (WVU) was reviewed from January 2016 to October 2021 to identify 271 women and 293 men who underwent successful LAAO device implantation. Patients were evaluated for gender-based differences in baseline characteristics, CHA2DS2-VASc Score, HAS-BLED score, procedural data, in-hospital, and follow-up outcomes. Compared to men, women had lower baseline comorbidities including coronary artery disease (135 (49.6%) vs 172 (58.7%), P = 0.03), myocardial infarction (MI) (56 (20.5%) vs 85 (29%), P = 0.02) and coronary artery bypass surgery (10 (3.6%) vs 27 (9.2%), P = 0.008). Women were noted to have a higher CHA2DS2-VASc Score (5.3 ± 1.4 vs 4.4 ± 1.4, P < 0.001), and left ventricular ejection fraction (57.9 ± 7.7 vs 52.7 ± 12.4, P < 0.001). Women were noted to have a significantly higher rate of in-hospital composite adverse events (74 (27.2%) vs 58 (19.8%), P = 0.03); bleeding events (38 (10.2%) vs 19 (6.4%), P = 0.003) and associated blood transfusion (6 vs 0, P = 0.001) compared with men. No statistically significant differences were noted between both genders regarding the follow-up outcome. Our single center study shows women to have higher in-hospital composite adverse events as well as higher bleeding events during the index hospital admission.