cohort analysis
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Author(s):  
Hyun Woo Lee ◽  
Sung-Chan Kang ◽  
Sun-Young Kim ◽  
Young-Jae Cho ◽  
Seung-sik Hwang


2022 ◽  
Vol 11 (2) ◽  
pp. 422
Author(s):  
Daniel Dubinski ◽  
Sae-Yeon Won ◽  
Bedjan Behmanesh ◽  
Max Dosch ◽  
Viktoria Puchinin ◽  
...  

Background: Glioblastoma (GBM) patients are at particularly high risk for thrombotic complications. In the event of a postoperative pulmonary embolism, therapeutic anticoagulation (tAC) is indispensable. The impact of therapeutic anticoagulation on recurrence pattern in GBM is currently unknown. Methods: We conducted a matched-pair cohort analysis of 57 GBM patients with or without tAC that were matched for age, sex, gross total resection and MGMT methylation status in a ratio of 1:2. Patients’ characteristics and clinical course were evaluated using medical charts. MRI characteristics were evaluated by two independent authors blinded to the AC status. Results: The morphologic MRI appearance in first GBM recurrence showed a significantly higher presence of multifocal, midline crossing and sharp demarcated GBM recurrence patterns in patients with therapeutic tAC compared to the matched control group. Although statistically non-significant, the therapeutic tAC cohort showed increased survival. Conclusion: Therapeutic anticoagulation induced significant morphologic changes in GBM recurrences. The underlying pathophysiology is discussed in this article but remains to be further elucidated.





2022 ◽  
Author(s):  
Shmuel Goldberg ◽  
Elie Picard ◽  
Leon Joseph ◽  
Ron Kedem ◽  
Adir Sommer ◽  
...  


2022 ◽  
Author(s):  
Michael E Tang ◽  
Thaidra Gaufin ◽  
Ryan Anson ◽  
Wenhong Zhu ◽  
William C Mathews ◽  
...  

Background We investigated the effect of HIV on COVID-19 outcomes with attention to selection bias due to differential testing and to comorbidity burden. Methods Retrospective cohort analysis using four hierarchical outcomes: positive SARS-CoV-2 test, COVID-19 hospitalization, intensive care unit (ICU) admission, and hospital mortality. The effect of HIV status was assessed using traditional covariate-adjusted, inverse probability weighted (IPW) analysis based on covariate distributions for testing bias (testing IPWs), HIV infection status (HIV IPWs), and combined models. Among PWH, we evaluated whether CD4 count and HIV plasma viral load (pVL) discriminated between those who did or did not develop study outcomes using receiver operating characteristic analysis. Results Between March and November 2020, 63,319 people were receiving primary care services at UCSD, of whom 4,017 were people living with HIV (PWH). PWH had 2.1 times the odds of a positive SARS-CoV-2 test compared to those without HIV after weighting for potential testing bias, comorbidity burden, and HIV-IPW (95% CI 1.6-2.8). Relative to persons without HIV, PWH did not have an increased rate of COVID-19 hospitalization after controlling for comorbidities and testing bias [adjusted incidence rate ratio (aIRR): 0.5, 95% CI: 0.1-1.4]. PWH had neither a different rate of ICU admission (aIRR:1.08, 95% CI; 0.31-3.80) nor in-hospital death (aIRR:0.92, 95% CI; 0.08-10.94) in any examined model. Neither CD4 count nor pVL predicted any of the hierarchical outcomes among PWH. Conclusions PWH have a higher risk of COVID-19 diagnosis but similar outcomes compared to those without HIV.





2022 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Kurt Ruetzler ◽  
Kai Li ◽  
Surendrasingh Chhabada ◽  
Kamal Maheshwari ◽  
Praveen Chahar ◽  
...  


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