Aims: Patients hospitalized for heart failure (HF) had worse in-hospital outcomes during the first wave of the COVID-19 pandemic. However, their long-term outcomes are unknown. We describe long-term outcomes among patients who survived to hospital discharge compared with patients hospitalized in 2019 from two referral centers in London during the COVID-19 pandemic.
Methods And Results: In total, 512 patients who survived their hospitalization for acute HF in two South London referral centers between 7 January and 14 June 2020 were included in the study and compared with 725 patients from the corresponding period in 2019. The primary outcome was all-cause mortality. The demographic characteristics of patients admitted in 2020 were similar to the 2019 cohort. Median (IQR) follow-up was 622 (348-691) days. All-cause mortality after discharge remained significantly higher for patients admitted in 2020 compared with the equivalent period in 2019 (P < 0.01), which may relate to observed differences in place of care with fewer patients being managed on specialist cardiology wards during the COVID-19 pandemic.
Conclusion: Hospitalization for HF during the first wave of the COVID-19 pandemic was associated with higher all-cause mortality among patients who survived to discharge. Further studies are necessary to identify predictors of these adverse outcomes to improve outpatient management during a critical period in the management of acute HF.
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http://dx.doi.org/10.1002/ehf2.13579 | DOI Listing |
J Neurosurg
January 2025
1Department of Neurosurgery, Inselspital, Bern University Hospital, University Bern, Switzerland.
Objective: The effectiveness and optimal stimulation site of deep brain stimulation (DBS) for central poststroke pain (CPSP) remain elusive. The objective of this retrospective international multicenter study was to assess clinical as well as neuroimaging-based predictors of long-term outcomes after DBS for CPSP.
Methods: The authors analyzed patient-based clinical and neuroimaging data of previously published and unpublished cohorts from 6 international DBS centers.
J Neurosurg
January 2025
1Department of Neurological Surgery and.
Objective: Traumatic hemorrhagic cerebral contusions are a well-established cause of morbidity and mortality in neurosurgery. This study aimed to determine prognostic factors for long-term functional outcomes and longitudinal contusion volume changes in traumatic brain injury (TBI) patients.
Methods: Data from 285 patients with traumatic cerebral contusions were retrospectively reviewed to identify variables predictive of initial contusion volume, contusion expansion on short-term follow-up imaging, and functional outcomes according to the modified Rankin Scale (mRS).
J Neurosurg
January 2025
1Department of Neurosurgery, ASST Cremona, Italy.
Objective: Brainstem cavernous malformations (BSCMs) were once considered inoperable. Microsurgical resection now represents a valuable option for treating patients with hemorrhagic or symptomatic lesions. The aim of this study was to provide a practical guide for surgical planning by analyzing postoperative neurological and functional outcomes.
View Article and Find Full Text PDFUrogynecology (Phila)
October 2024
Data Coordinating Center, RTI International, Research Triangle Park, NC.
Importance: This review aimed to describe research initiatives, evolution, and processes of the Eunice Kennedy Shriver National Institute of Child Health and Human Development-supported Pelvic Floor Disorders Network (PFDN). This may be of interest and inform researchers wishing to conduct multisite coordinated research initiatives as well as to provide perspective to all urogynecologists regarding how the PFDN has evolved and functions.
Study Design: Principal investigators of several PFDN clinical sites and Data Coordinating Center describe more than 20 years of development and maturation of the PFDN.
PLoS One
January 2025
School of Law, Zhengzhou University, Zhengzhou, Henan, China.
The latest global progress report highlights numerous challenges in achieving justice goals, with bias in artificial intelligence (AI) emerging as a significant yet underexplored issue. This paper investigates the role of AI in addressing bias within the judicial system to promote equitable social justice. Analyzing weekly data from January 1, 2019, to December 31, 2023, through wavelet quantile correlation, this study examines the short, medium, and long-term impacts of integrating AI, media, international legal influence (ILI), and international financial institutions (IFI) as crucial factors in achieving Sustainable Development Goal 16 (SDG-16), which focuses on justice.
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