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Härter Martin Koch-Gromus Uwe 《Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz》2022,65(3):267-269
Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz - 相似文献
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Jana Kristin Eckert Julia Kahle Andreas Bck Kathrin Zeber Kathrin Urner Wolfgang Greiner Simone Kreimeier Kirsten Beyer Josefine Dobbertin-Welsch Eckard Hamelmann Ines Gellhaus Christina Schorlemer Michael Kabesch Parastoo Kheiroddin Erika von Mutius Martin Depner Daniel Walter Gesine Hansen Stephanie DeStefano Sabine Schnadt Bianca Schaub 《Pediatric allergy and immunology》2022,33(1):e13652
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Matthias Knefel PhD Elisabeth L. Zeilinger PhD Simone Lubowitzki PhD Katharina Krammer MSc Matthias Unseld MD Rupert Bartsch MD Thorsten Fuereder MD Ulrich Jäger MD Barbara Kiesewetter MD Maria Krauth MD Markus Raderer MD Philipp B. Staber MD Peter Valent MD Alexander Gaiger MD 《Cancer》2023,129(21):3466-3475
Background
Survival in cancer patients is associated with a multitude of biological, social, and psychological factors. Although it is well established that all these factors add to overall mortality, it is not well understood how the predictive power of these parameters changes in a comprehensive model and over time.Methods
Patients who attended the authors’ outpatient clinic were invited to participate. The authors followed 5180 mixed cancer patients (51.1% female; mean age, 59.1 years [SD = 13.8]) for up to 16 years and analyzed biological (age, sex, cancer site, anemia), psychological (anxiety, depression), and social variables (marital status, education, employment status) potentially predicting overall survival in a Cox proportional hazards model.Results
The median survival time for the entire sample was 4.3 years (95% confidence interval, 4.0–4.7). The overall survival probabilities for 1 and 10 years were 76.8% and 38.0%, respectively. Following an empirical approach, the authors split the time interval into five periods: acute, subacute, short-term, medium-term, and long-term. A complex pattern of variables predicted overall survival differently in the five periods. Biological parameters were important throughout most of the time, social parameters were either time-independent predictors or tended to be more important in the longer term. Of the psychological parameters, only depression was a significant predictor and lost its predictive power in the long-term.Conclusions
The findings of this study allow the development of comprehensive patient-specific models of risk and resilience factors addressing biopsychosocial needs of cancer patients, paving the way for a personalized treatment plan that goes beyond biomedical cancer care. 相似文献9.
Andreas Lundin Martin Annborn Ola Borgquist Joachim Düring Johan Undén Christian Rylander 《Acta anaesthesiologica Scandinavica》2023,67(5):655-662
Patients admitted to intensive care after cardiac arrest are at risk of circulatory shock and early mortality due to cardiovascular failure. The aim of this study was to evaluate the ability of the veno-arterial pCO2 difference (∆pCO2; central venous CO2 – arterial CO2) and lactate to predict early mortality in postcardiac arrest patients. This was a pre-planned prospective observational sub-study of the target temperature management 2 trial. The sub-study patients were included at five Swedish sites. Repeated measurements of ∆pCO2 and lactate were conducted at 4, 8, 12, 16, 24, 48, and 72 h after randomization. We assessed the association between each marker and 96-h mortality and their prognostic value for 96-h mortality. One hundred sixty-three patients were included in the analysis. Mortality at 96 h was 17%. During the initial 24 h, there was no difference in ∆pCO2 levels between 96-h survivors and non-survivors. ∆pCO2 measured at 4 h was associated with an increased risk of death within 96 h (adjusted odds ratio: 1.15; 95% confidence interval [CI]: 1.02–1.29; p = .018). Lactate levels were associated with poor outcome over multiple measurements. The area under the receiving operating curve to predict death within 96 h was 0.59 (95% CI: 0.48–0.74) and 0.82 (95% CI: 0.72–0.92) for ∆pCO2 and lactate, respectively. Our results do not support the use of ∆pCO2 to identify patients with early mortality in the postresuscitation phase. In contrast, non-survivors demonstrated higher lactate levels in the initial phase and lactate identified patients with early mortality with moderate accuracy. 相似文献