| 1. |
- Bobbio, Emanuele, et al.
(författare)
-
Clinical Outcomes and Predictors of Long-Term Survival in Patients With and Without Previously Known Extracardiac Sarcoidosis Using Machine Learning: A Swedish Multicenter Study.
- 2023
-
Ingår i: Journal of the American Heart Association. - 2047-9980. ; 12:15
-
Tidskriftsartikel (refereegranskat)abstract
- Background Cardiac involvement can be an initial manifestation in sarcoidosis. However, little is known about the association between various clinical phenotypes of cardiac sarcoidosis (CS) and outcomes. We aimed to analyze the relation of different clinical manifestations with outcomes of CS and to investigate the relative importance of clinical features influencing overall survival. Methods and Results A retrospective cohort of 141 patients with CS enrolled at 2 Swedish university hospitals was studied. Presentation, imaging studies, and outcomes of de novo CS and previously known extracardiac sarcoidosis were compared. Survival free of primary composite outcome (ventricular arrhythmias, heart transplantation, or death) was assessed. Machine learning algorithm was used to study the relative importance of clinical features in predicting outcome. Sixty-two patients with de novo CS and 79 with previously known extracardiac sarcoidosis were included. De novo CS showed more advanced New York Heart Association class (P=0.02), higher circulating levels of NT-proBNP (N-terminal pro-B-type natriuretic peptide) (P<0.001), and troponins (P<0.001), as well as a higher prevalence of right ventricular dysfunction (P<0.001). During a median (interquartile range) follow-up of 61 (44-77) months, event-free survival was shorter in patients with de novo CS (P<0.001). The top 5 features predicting worse event-free survival in order of importance were as follows: impaired tricuspid annular plane systolic excursion, de novo CS, reduced right ventricular ejection fraction, absence of β-blockers, and lower left ventricular ejection fraction. Conclusions Patients with de novo CS displayed more severe disease and worse outcomes compared with patients with previously known extracardiac sarcoidosis. Using machine learning, right ventricular dysfunction and de novo CS stand out as strong overall predictors of impaired survival.
|
|
| 2. |
- van Leeuwen, Marieke, et al.
(författare)
-
Phase III study of the European Organisation for Research and Treatment of Cancer Quality of Life cancer survivorship core questionnaire
- 2023
-
Ingår i: Journal of Cancer Survivorship. - : Springer Science and Business Media LLC. - 1932-2259 .- 1932-2267. ; 17:4, s. 1111-1130
-
Tidskriftsartikel (refereegranskat)abstract
- Purpose: The purpose of this study is to develop a European Organisation for Research and Treatment of Cancer Quality of Life Group (EORTC QLG) questionnaire that captures the full range of physical, mental, and social health-related quality of life (HRQOL) issues relevant to disease-free cancer survivors. In this phase III study, we pretested the provisional core questionnaire (QLQ-SURV111) and aimed to identify essential and optional scales. Methods: We pretested the QLQ-SURV111 in 492 cancer survivors from 17 countries with one of 11 cancer diagnoses. We applied the EORTC QLG decision rules and employed factor analysis and item response theory (IRT) analysis to assess and, where necessary, modify the hypothesized questionnaire scales. We calculated correlations between the survivorship scales and the QLQ-C30 summary score and carried out a Delphi survey among healthcare professionals, patient representatives, and cancer researchers to distinguish between essential and optional scales. Results: Fifty-four percent of the sample was male, mean age was 60 years, and, on average, time since completion of treatment was 3.8 years. Eleven items were excluded, resulting in the QLQ-SURV100, with 12 functional and 9 symptom scales, a symptom checklist, 4 single items, and 10 conditional items. The essential survivorship scales consist of 73 items. Conclusions: The QLQ-SURV100 has been developed to assess comprehensively the HRQOL of disease-free cancer survivors. It includes essential and optional scales and will be validated further in an international phase IV study. Implications for Cancer Survivors: The availability of this questionnaire will facilitate a standardized and robust assessment of the HRQOL of disease-free cancer survivors.
|
|
