Publications by authors named "L M Banning"

Article Synopsis
  • The study analyzed maternal and infant health outcomes following cesarean sections (CS) compared to vaginal deliveries using data from a large U.S. healthcare claims database for the years 2019 and 2020.
  • Results indicated that cesarean deliveries were associated with higher rates of severe maternal morbidity (SMM) both at 42 days and 360 days post-delivery, with significant odds ratios indicating increased risk compared to vaginal births.
  • Additionally, infants born via CS showed higher prevalence of various adverse health outcomes by 360 days, particularly respiratory issues, although maternal and infant mortality rates were low in both delivery methods.
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Background: Cognitive impairment affects nearly half of vascular surgery patients, but its association with postoperative outcomes remains poorly understood. This study explores the link between preoperative cognitive performance and postoperative complications, including postoperative delirium, in vascular surgery patients.

Methods: A prospective cohort study was conducted on vascular surgery patients aged ≥65.

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Background: To estimate whether the benefits of aortic aneurysm repair will outweigh the risks, determining individual risks is essential. This single-center prospective cohort study aimed to compare the association of functional tools with postoperative complications in older patients undergoing aortic aneurysm repair.

Methods: Ninety-eight patients (≥65 years) who underwent aortic aneurysm repair were included.

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Article Synopsis
  • Alzheimer's disease and vascular issues commonly affect the elderly, but how they impact cognitive decline is still unclear.
  • The study examined 227 patients from memory clinics for the combined effect of amyloid abnormalities and vascular burdens on cognitive decline, using various cognitive assessments and MRI data.
  • Results indicated that those with both amyloid abnormalities and vascular issues showed greater cognitive decline, but amyloid abnormalities were the main predictor of decline, suggesting vascular burden has a lesser role.
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Background: Previous research has shown that verbal memory accurately measures cognitive decline in the early phases of neurocognitive impairment. Automatic speech recognition from the verbal learning task (VLT) can potentially be used to differentiate between people with and without cognitive impairment.

Objective: Investigate whether automatic speech recognition (ASR) of the VLT is reliable and able to differentiate between subjective cognitive decline (SCD) and mild cognitive impairment (MCI).

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