Gene co-option, usually after gene duplication, in the evolution of development is found to contribute to vertebrate morphological innovations, including the endothelium-based vascular system. Recently, a zebrafish kank gene was found expressed in the vascular vessel primordium, suggesting KANK genes are a component of the developmental tool kit for the vertebrate vascular system. However, how the KANK gene family is involved in vascular vessel development during evolution remains largely unknown. First, we analyzed the molecular evolution of the KANK genes in metazoan, and found that KANK1, KANK2, KANK3 and KANK4 emerged in the lineage of vertebrate, consistent with the two rounds of vertebrate whole-genome duplications (WGD). Moreover, KANK genes were further duplicated in teleosts through the bony-fish specific WGD, while only kank1 and kank4 duplicates were retained in some of the examined fish species. We also found all zebrafish kank genes, except kank1b, are primarily expressed during embryonic vascular development. Compared to invertebrate KANK gene expression in the central nervous system, the vascular expression of zebrafish kank genes suggested KANK genes were co-opted for vertebrate vascular development. Given the cellular roles of KANK genes, our results suggest that this co-option may facilitate the evolutionary origin of vertebrate vascular vessels.
BACKGROUND The purpose of this study was to examine the longitudinal association between rising violent crime and elevated blood pressure (BP). METHODS We analyzed 217,816 BP measurements from 17,783 adults during a temporal surge in violent crime in Chicago (2014–2016). Serial observations were abstracted from the electronic health record at an academic medical center and paired to the City of Chicago Police Data Portal. The violent crime rate (VCR) was calculated as the number of violent crimes per 1,000 population per year for each census tract. Longitudinal multilevel regression models were implemented to assess elevated BP (systolic BP ≥ 140 mm Hg or diastolic BP ≥ 90 mm Hg) as a function of the VCR, adjusting for patient characteristics, neighborhood characteristics, and time effects. Secondary dependent measures included elevated heart rate, obesity, missed outpatient appointments, all-cause hospital admissions, and cardiovascular hospital admissions. RESULTS At baseline, the median VCR was 41.3 (interquartile range: 15.2–66.8), with a maximum rise in VCR of 59.1 over the 3-year surge period. A 20-unit rise in the VCR was associated with 3% higher adjusted odds of having elevated BP (95% confidence interval [CI]: 1.01–1.06), 8% higher adjusted odds of missing an outpatient appointment (95% CI: 1.03–1.13), and 6% higher adjusted odds of having a cardiovascular-related hospital admission (95% CI: 1.01–1.12); associations were not significant for elevated heart rate and obesity. CONCLUSION Rising violent crime was associated with increased BP during a temporal crime surge.
Background The HOSPITAL Risk Score (HRS) predicts 30-day hospital readmissions and is internationally validated. Social determinants of health (SDOH) such as low socioeconomic status (SES) affect health outcomes and have been postulated to affect readmission rates. We hypothesized that adding SDOH to the HRS could improve its predictive accuracy. Methods Records of 37,105 inpatient admissions at the University of Chicago Medical Center were reviewed. HRS was calculated for each patient. Census tract-level SDOH then were combined with the HRS and the performance of the resultant “Social HRS” was compared against the HRS. Patients then were assigned to 1 of 7 typologies defined by their SDOH and a balanced dataset of 14,235 admissions was sampled from the larger dataset to avoid over-representation by any 1 sociodemographic group. Principal component analysis and multivariable linear regression then were performed to determine the effect of SDOH on the HRS. Results The c-statistic for the HRS predicting 30-day readmission was 0.74, consistent with published values. However, the addition of SDOH to the HRS did not improve the c-statistic (0.71). Patients with unfavorable SDOH (no high-school, limited English, crowded housing, disabilities, and age > 65 yrs) had significantly higher HRS (p < 0.05 for all). Overall, SDOH explained 0.2% of the HRS. Conclusion At an urban tertiary care center, the addition of census tract-level SDOH to the HRS did not improve its predictive power. Rather, the effects of SDOH are already reflected in the HRS.
Background: Low-socioeconomic, urban, minority patients with heart failure (HF) often have unique barriers to care. Community health workers (CHWs) are specially trained laypeople who serve as liaisons between underserved communities and the health system. It is not known whether CHWs improve outcomes in low-socioeconomic, urban, minority patients with HF. Hypothesis: CHWs reduce rehospitalizations, emergency department (ED) visits, and healthcare costs for low-socioeconomic urban patients with HF. Methods: Patients admitted with acute decompensated HF were assigned to receive weekly visits by CHW after discharge. Patients were propensity score matched with controls who received usual care. HF-related rehospitalizations, ED visits, and inpatient costs were compared for 12 months following index admission versus the same period before. Results: Twenty-eight patients who received weekly visits from a CHW for 12 months after discharge were matched with 28 control patients who did not receive CHWs. Patients who received a CHW had a 75% decrease in HF-related ED visits (0.71 vs. 0.18 visits per patient, P < 0.001), an 89% decrease in HF-related readmissions (0.64 vs. 0.07 admissions per patient, P < 0.005), and a significant decrease in inpatient cost for HF-related visits. In controls receiving usual care, there was no significant change in hospitalizations, ED visits, or costs. Conclusions: In conclusion, CHWs are associated with reduced rehospitalizations, ED visits, and inpatient costs in low-socioeconomic, urban, minority patients with HF. CHWs may be a cost-effective method to reduce health care utilization and improve outcomes for this population.
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