Aims
The 4S-AF classification scheme comprises of four domains: stroke risk (St), symptoms (Sy), severity of atrial fibrillation (AF) burden (Sb), and substrate (Su). We sought to examine the implementation of the 4S-AF scheme in the EORP-AF General Long-Term Registry and compare outcomes in AF patients according to the 4S-AF-led decision-making process.
Methods and results
Atrial fibrillation patients from 250 centres across 27 European countries were included. A 4S-AF score was calculated as the sum of each domain with a maximum score of 9. Of 6321 patients, 8.4% had low (St), 47.5% EHRA I (Sy), 40.5% newly diagnosed or paroxysmal AF (Sb), and 5.1% no cardiovascular risk factors or left atrial enlargement (Su). Median follow-up was 24 months. Using multivariable Cox regression analysis, independent predictors of all-cause mortality were (St) [adjusted hazard ratio (aHR) 8.21, 95% confidence interval (CI): 2.60–25.9], (Sb) (aHR 1.21, 95% CI: 1.08–1.35), and (Su) (aHR 1.27, 95% CI: 1.14–1.41). For CV mortality and any thromboembolic event, only (Su) (aHR 1.73, 95% CI: 1.45–2.06) and (Sy) (aHR 1.29, 95% CI: 1.00–1.66) were statistically significant, respectively. None of the domains were independently linked to ischaemic stroke or major bleeding. Higher 4S-AF score was related to a significant increase in all-cause mortality, CV mortality, any thromboembolic event, and ischaemic stroke but not major bleeding. Treatment of all 4S-AF domains was associated with an independent decrease in all-cause mortality (aHR 0.71, 95% CI: 0.55–0.92). For each 4S-AF domain left untreated, the risk of all-cause mortality increased substantially (aHR 1.35, 95% CI: 1.16–1.56).
Conclusion
Implementation of the novel 4S-AF scheme is feasible, and treatment decisions based on this scheme improve mortality rates in AF.
Objective: To identify the prognostic score that is the best predictor of outcome in patients hospitalized with decompensated liver cirrhosis. Material and Methods: In thisprospective study, 126 patients were enrolled and followed up for 29 months. For each patient, prognostic scores were calculated; these included the Child-Turcotte-Pugh score (CTP score), CTP creatinine-modified I score, CTP creatinine-modified II score, Model for End-Stage Liver Disease (MELD score), MELD model for end-stage liver disease sodium-modified score, Integrated MELD score, updated MELD score, United Kingdom MELD, and the MELD score remodeled by serum sodium index (MESO index). Cox regression analysis was used to assess the ability of each of the scores for predicting mortality in patients with alcoholic cirrhosis. Their discriminatory ability was evaluated using receiver operating characteristic (ROC) curve analysis. Results: The updated MELD score had the highest predictive value (3.29) among the tested scores (95% CI: 2.26-4.78). ROC curve analysis demonstrated that the MELD score of 22.50 (AUC = 0.914, 95% CI: 0.849-0.978; p < 0.001) had the best discriminative ability for identifying patients with a high risk of mortality; the next best was the MESO index of 16.00 (AUC = 0.912, 95% CI: 0.847-0.978; p < 0.001). Conclusion: The risk of mortality was highest in patients with the highest updated MELD score, and those with MELD scores >22.50 and a MESO index >16.00.
Depression which is comorbid with posttraumatic stress disorder represents significant clinical entity with domination of the different groups of symptoms between the groups PTSD and PTSD-D on HAMD. Identification of aforementioned severity of illness and delineated group of symptoms lead the clinician to establish the diagnosis of depression, reduce the risk of diagnostic ommition of the depression and enable the clinician to chose the optimal treatment method for the delineated disorders.
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