15 research outputs found

    SPMSQ for risk stratification of older patients in the emergency department : An exploratory prospective cohort study

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    Risk stratification of older patients in the emergency department (ED) is seen as a promising and efficient solution for handling the increase in demand for geriatric emergency medicine. Previously, the predictive validity of commonly used tools for risk stratification, such as the identification of seniors at risk (ISAR), have found only limited evidence in German geriatric patient samples. Given that the adverse outcomes in question, such as rehospitalization, nursing home admission and mortality, are substantially associated with cognitive impairment, the potential of the short portable mental status questionnaire (SPMSQ) as a tool for risk stratification of older ED patients was investigated

    Optimierte Versorgung älterer Menschen in der Notaufnahme/im Akutkrankenhaus

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    Die medizinische Versorgung älterer Menschen stellt eine Herausforderung an das Sozial und Gesundheitssystem dar. Notaufnahmen und Akutkrankenhäuser sind oft nicht auf Orientierungsstörungen sowie Verhaltensveränderungen demenzerkrankter Menschen ausgerichtet. Der Vortrag von PD Dr. Anke Bahrmann, Universitätsklinikum Heidelberg, soll einen Überblick über die speziellen Bedürfnisse eines geriatrischen bzw. insbesondere eines demenzerkrankten Patienten geben und wie diesen in der klinischen Versorgung im Akutkrankenhaus begegnet wird. Im Folgenden wird das zugehörige Dissertationsthema vorgestellt

    Diabetes mellitus im Alter

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    Erwiderung

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    Diabetes mellitus im Alter

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    Multiple biomarker strategy for improved diagnosis of acute heart failure in older patients presenting to the emergency department

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    Aim: Biomarkers can help to identity acute heart failure (AHF) as the cause of symptoms in patients presenting to the emergency department (ED). Older patients may prove a diagnostic challenge due to co-morbidities. Therefore we prospectively investigated the diagnostic performance of N-terminal pro-B-type natriuretic peptide (NT-proBNP) alone or in combination with other biomarkers for AHF upon admission at the ED. Methods: 302 non-surgical patients aged ≥ 70 years were consecutively enrolled upon admission to the ED. In addition to NT-proBNP, mid-regional pro-adrenomedullin (MR-proADM), mid-regional pro-atrial natriuretic peptide (MR-proANP), C-terminal pro-endothelin-1 (CT-proET-1) and ultra-sensitive C-terminal pro-vasopressin (Copeptin-us) were measured at admission. Two cardiologists independently adjudicated the final diagnosis of AHF after reviewing all available baseline data excluding the biomarkers. We assessed changes in C-index, integrated discrimination improvement (IDI), and net reclassification improvement (NRI) for the multimarker approach. Results: AHF was diagnosed in 120 (40%) patients (age 81±6 years, 64 men, 56 women). Adding MR-ADM to NT-proBNP levels improved C-index (0.84 versus 0.81; p=0.045), and yielded IDI (3.3%; p=0.002), NRI (17%, p<0.001) and continuous NRI (33.3%; p=0.002). Adding CT-proET-1 to NT-proBNP levels improved C index (0.86 versus 0.81, p=0.031), and yielded robust IDI (12.4%; p<0.001), NRI (31.3%, p<0.001) and continuous NRI (69.9%; p<0.001). No other dual or triple biomarker combination showed a significant improvement of both C-index and IDI. Conclusion: In older patients presenting to the ED, the addition of CT-proET-1 or MR-proADM to NT-proBNP improves diagnostic accuracy of AHF. Both dual biomarker approaches offer significant risk reclassification improvement over NT-proBNP

    Prognostic value of different biomarkers for cardiovascular death in unselected older patients in the emergency department

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    Background: Risk stratification of elderly patients presenting with heart failure (HF) to an emergency department (ED) is an unmet challenge. We prospectively investigated the prognostic performance of different biomarkers in unselected older patients in the ED. Methods: We consecutively enrolled 302 non-surgical patients ⩾70 years presenting to the ED with a wide range of cardiovascular and non-cardiovascular comorbid conditions. N-terminal pro-B-type natriuretic peptide (NT-proBNP), mid-regional pro-adrenomedullin (MR-proADM), mid-regional pro-atrial natriuretic peptide (MR-proANP), C-terminal pro-endothelin-1 (CT-proET-1), ultrasensitive C-terminal pro-arginine-vasopressin (Copeptin-us) and high-sensitivity cardiac troponin T (hs-cTnT) were measured at admission. Two cardiologists independently adjudicated the final diagnosis of HF after reviewing all available baseline data using circulating NT-proBNP levels. A final diagnosis of HF was found in 120 (40%) of the 302 patients. All patients were followed up for cardiovascular death within the following 12 months. In order to test the prognostic performance of the investigated biomarkers we used boosting models with age and sex as mandatory covariates. Boosting is a statistical learning technique with built-in variable selection developed to obtain sparse and interpretable prediction models. Results: Follow-up was 100% complete. During a median follow-up time of 225 days (interquartile range (IQR) 156–319 days), 30 (9.9%) of 302 patients (aged 81±6 years) had cardiovascular deaths. Of these 30 patients, 21 had HF and nine had no HF diagnosed prior to admission. The boosting model selected MR-proADM and hs-cTNT as predictors of cardiovascular deaths. The median values of MR-proADM and hs-cTnT at presentation were significantly higher in patients with cardiovascular deaths compared to surviving patients during follow-up (2.56 nmol/L (IQR 1.62–4.48) vs. 1.11 nmol/L (IQR 0.83–1.80), P<0.001 and 81 ng/L (IQR 38–340) vs. 17 ng/L (IQR 0.9–38), P=0.004). One unit increase in the log-transformed MR-proADM levels was associated with a 1.99-fold risk of death (95% confidence interval (CI) 1.61–2.45, P<0.001). The second marker, hs-cTnT, showed an increased predicted risk but was not significantly correlated to event-free survival (hazard ratio 3.22, 95% CI 0.97–10.68, P=0.056). Conclusion: Within different biomarkers, MR-proADM was the only predictor of cardiovascular deaths in unselected older patients presenting to the ED

    Psychological insulin resistance in geriatric patients with diabetes mellitus

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    Objective To determine the extent to which geriatric patients with diabetes mellitus experience psychological insulin resistance (PIR). Methods A total of 67 unselected geriatric patients with diabetes (mean age 82.8 ± 6.7 years, diabetes duration 12.2 [0.04–47.2] years, 70.1% female) were recruited in a geriatric care center of a university hospital. A comprehensive geriatric assessment (CGA) was performed including WHO-5, Hospital Anxiety and Depression Scale (HADS), Mini Mental State Examination (MMSE) and Barthel-Index. We assessed PIR using the Barriers of Insulin Treatment Questionnaire (BIT) and the Insulin Treatment Appraisal Scale in a face-to-face interview. Results Insulin-naïve patients (INP) showed higher PIR scores than patients already on insulin therapy (BIT-sum score: 4.3 ± 1.4 vs. 3.2 ± 1.0; p < 0.001). INP reported in the BIT increased fear of injection and self-testing (2.4 ± 2.4 vs. 1.3 ± 0.8; p = 0.016), expect disadvantages from insulin treatment (2.7 ± 1.6 vs. 1.9 ± 1.4; p = 0.04), and fear of stigmatization by insulin injection (5.2 ± 2.3 vs. 3.6 ± 2.6; p = 0.008). Fear of hypoglycemia, however, did not differ significantly (6.3 ± 2.8 vs. 5.1 ± 3.1; p = 0.11). Depression was not shown to be a barrier to insulin therapy. Conclusion INP with diabetes have a significantly more negative attitude toward insulin therapy in comparison to patients already on insulin. Practice implications Systematic assessment of barriers of insulin therapy, individualized diabetes treatment plans and information of patients may help to overcome such negative attitudes, leading to quicker initiation of therapy, improved adherence to treatment and a better quality of life
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