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Introduction Data regarding clinical outcomes after transcatheter aortic valve replacement (TAVR) vs surgical aortic valve replacement (SAVR) in patients with sarcoidosis is lacking. This study aims to clarify the clinical outcomes of TAVR vs SAVR in patients with sarcoidosis. Methods Data was collected from the National Inpatient Sample database from 2016-2019 using validated ICD-10-CM codes for sarcoidosis, TAVR, and SAVR. Patients were divided into two cohorts: those who underwent TAVR and those who underwent SAVR. Statistical analysis was performed using Pearson's chi-squared test to determine clinical outcomes of TAVR vs SAVR in patients with sarcoidosis. Results The prevalence of sarcoidosis was 0.23% among total study patients (n=142,420,378). After exclusions, the prevalence of TAVR was 650 (49%) and SAVR was 675 (51%) in patients with sarcoidosis. Patients who underwent TAVR were on average older (74 vs 65 years old, p=0.001), and more likely to be female (57 vs 40%, p<0.001) compared to patients who underwent SAVR. The TAVR cohort had higher rates of congestive heart failure (CHF) (77.7 vs 42.2%, p=0.001), chronic kidney disease (CKD) (42.3 vs 24.4% p=0.001), anemia (5.4 vs 2.2%, p=0.004), percutaneous coronary intervention (PCI) (1.5 vs 0%, p=0.004), and hypothyroidism (31.5 vs 16.3%, p=0.001) compared to the SAVR cohort. Inpatient mortality post-procedure was higher in the SAVR cohort compared to the TAVR cohort (15 vs 0, p=0.001). Regarding post-procedure complications, respiratory complications were more common in the SAVR cohort (4.4 vs 0%, p=0.001), while TAVR was associated with a higher incidence of permanent pacemaker (PPM) insertion (2.15 vs 0.8%, p=0.001). There was no statistical difference in the development of acute kidney injury (AKI) (0.8 vs 1.5%, p=0.33), AKI requiring hemodialysis (0 vs. 0.7%, p=0.08), or stroke (0.8 vs 0.7, p=1) post-procedure between the two cohorts. Conclusion This study found that in the sarcoidosis population, TAVR was associated with reduced mortality, shorter hospital length of stay, and lower hospitalization costs in comparison to SAVR., Competing Interests: Human subjects: All authors have confirmed that this study did not involve human participants or tissue. Animal subjects: All authors have confirmed that this study did not involve animal subjects or tissue. Conflicts of interest: In compliance with the ICMJE uniform disclosure form, all authors declare the following: Payment/services info: All authors have declared that no financial support was received from any organization for the submitted work. Financial relationships: All authors have declared that they have no financial relationships at present or within the previous three years with any organizations that might have an interest in the submitted work. Other relationships: All authors have declared that there are no other relationships or activities that could appear to have influenced the submitted work., (Copyright © 2024, Khan et al.)

Urbanization is accelerating in developing countries, which are simultaneously experiencing a rise in the prevalence of overnutrition (i.e., overweight and obesity), specifically among women. Since urbanization is a dynamic process, a continuous measure may better represent it when examining its association with overnutrition. However, most previous research has used a rural-urban dichotomy-based urbanization measure. This study utilized satellite-based night-time light intensity (NTLI) data to measure urbanization and evaluate its association with body weight in reproductive-aged (15-49) women in Bangladesh. Multilevel models estimated the association between residential area NTLI and women's body mass index (BMI) or overnutrition status using data from the latest Bangladesh Demographic and Health Survey (BDHS 2017-18). Higher area-level NTLI was associated with a higher BMI and increased odds of being overweight and obese in women. Living in areas with moderate NTL intensities was not linked with women's BMI measures, whereas living in areas with high NTL intensities was associated with a higher BMI or higher odds of being overweight and obese. The predictive nature of NTLI suggests that it could be used to study the relationship between urbanization and overnutrition prevalence in Bangladesh, though more longitudinal research is needed. This research emphasizes the necessity for preventive efforts to offset the expected public health implications of urbanization., (© 2023. The New York Academy of Medicine.)