Browsing by Subject "In-hospital mortality"

Now showing 1 - 3 of 3
  • Thumbnail Image
    Item
    Identification of predictive patient characteristics for assessing the probability of COVID-19 in-hospital mortality
    (Public Library of Science, 2024) Rajwa, Bartek; Naved, Md Mobasshir Arshed; Adibuzzaman, Mohammad; Grama, Ananth Y.; Khan, Babar A.; Dundar, M. Murat; Rochet, Jean-Christophe; Computer Science, Luddy School of Informatics, Computing, and Engineering
    As the world emerges from the COVID-19 pandemic, there is an urgent need to understand patient factors that may be used to predict the occurrence of severe cases and patient mortality. Approximately 20% of SARS-CoV-2 infections lead to acute respiratory distress syndrome caused by the harmful actions of inflammatory mediators. Patients with severe COVID-19 are often afflicted with neurologic symptoms, and individuals with pre-existing neurodegenerative disease have an increased risk of severe COVID-19. Although collectively, these observations point to a bidirectional relationship between severe COVID-19 and neurologic disorders, little is known about the underlying mechanisms. Here, we analyzed the electronic health records of 471 patients with severe COVID-19 to identify clinical characteristics most predictive of mortality. Feature discovery was conducted by training a regularized logistic regression classifier that serves as a machine-learning model with an embedded feature selection capability. SHAP analysis using the trained classifier revealed that a small ensemble of readily observable clinical features, including characteristics associated with cognitive impairment, could predict in-hospital mortality with an accuracy greater than 0.85 (expressed as the area under the ROC curve of the classifier). These findings have important implications for the prioritization of clinical measures used to identify patients with COVID-19 (and, potentially, other forms of acute respiratory distress syndrome) having an elevated risk of death.
  • Thumbnail Image
    Item
    In-hospital outcomes of transapical versus surgical aortic valve replacement: from the U.S. national inpatient sample
    (Beijing Renhe Information Technology Co., 2021) Abugroun, Ashraf; Hallak, Osama; Taha, Ahmed; Sanchez-Nadales, Alejandro; Awadalla, Saria; Daoud, Hussein; Igbinomwanhia, Efehi; Klein, Lloyd W.; Medicine, School of Medicine
    Objective: To compare the outcomes of transapical transcatheter aortic valve replacement (TA-TAVR) and surgical aortic valve replacement (SAVR) using a large US population sample. Methods: The U.S. National Inpatient Sample was queried for all patients who underwent TA-TAVR or SAVR during the years 2016-2017. The primary outcome was all-cause in-hospital mortality. Secondary outcomes were in-hospital stroke, pericardiocentesis, pacemaker insertion, mechanical ventilation, vascular complications, major bleeding, acute kidney injury, length of stay, and cost of hospitalization. Outcomes were modeled using multi-variable logistic regression for binary outcomes and generalized linear models for continuous outcomes. Results: A total of 1560 TA-TAVR and 44,280 SAVR patients were included. Patients who underwent TA-TAVR were older and frailer. Compared to SAVR, TA-TAVR correlated with a higher mortality (4.5% vs. 2.7%, effect size (SMD) = 0.1) and higher periprocedural complications. Following multivariable analysis, both TA-TAVR and SAVR had a similar adjusted risk for in-hospital mortality. TA-TAVR correlated with lower odds of bleeding with (adjusted OR (aOR) = 0.26; 95% CI: 0.18-0.38;P < 0.001), and a shorter length of stay (adjusted mean ratio (aMR) = 0.77; 95% CI: 0.69-0.84; P < 0.001), but higher cost (aMR = 1.18; 95% CI: 1.10-1.28; P < 0.001). No significant differences in other study outcomes. In subgroup analysis, TA-TAVR in patients with chronic lung disease had higher odds for mortality (aOR = 3.11; 95%CI: 1.37-7.08; P = 0.007). Conclusion: The risk-adjusted analysis showed that TA-TAVR has no advantage over SAVR except for patients with chronic lung disease where TA-TAVR has higher mortality.
  • Thumbnail Image
    Item
    Sex Differences in Stress-Induced (Takotsubo) Cardiomyopathy
    (Elsevier, 2022-11-18) Maskoun, Waddah; Alqam, Bilal; Habash, Fuad; Gheith, Zaid; Sawada, Stephen G.; Vallurupalli, Srikanth; Medicine, School of Medicine
    Background: Takotsubo cardiomyopathy (TC) affects predominantly women. Prior studies have suggested that men might have worse short-term outcomes, but limited data are available regarding long-term outcomes. We hypothesized that men, compared to women, with TC have worse short- and long-term outcomes. Methods: A retrospective study of patients diagnosed with TC between 2005 and 2018 in the Veteran Affairs system was performed. Primary outcomes were in-hospital death, 30-day risk of stroke, death, and long-term mortality. Results: A total of 641 patients were included (444 men [69%]; 197 women [31%]). Men had a higher median age (65 vs 60 years; P < 0.001), and women were more likely to present with chest pain (68.7% vs 44.1%; P < 0.001). Physical triggers were more common in men (68.7% vs 44.1%, P < 0.001). Men had a higher in-hospital mortality rate (8.1% vs 1%; P < 0.001). On multivariable regression analysis, female sex was an independent predictor for improved in-hospital mortality, compared to men (odds ratio 0.25, 95% confidence interval 0.06-1.10; P = 0.04). On 30-day follow-up, no difference occurred in a combined outcome of stroke and death (3.9% vs 1.5%; P = 0.12). On long-term follow-up (3.7 ± 3.1 years), female sex was identified as an independent predictor of lower mortality (hazard ratio 0.71, 95% CI 0.51-0.97; P = 0.032). Women were more likely to have TC recurrence (3.6% vs 1.1%; P = 0.04). Conclusions: In our study with a predominantly male population, men had less-favourable short- and long-term outcomes after TC, compared to those of women.