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- Medizinische Klinik und Poliklinik 1, Abteilung Nephrologie (1)
- Servicezentrum Medizin-Informatik (1)
- Servicezentrum Medizin-Informatik (Universitätsklinikum) (1)
- Universitätsklinikum Würzburg (UKW) (1)
The aim of this study was to investigate the prognostic value of 18F-fluoro-deoxyglucose positron emission tomography–computed tomography (18F-FDG-PET/CT) in 37 patients with a history of multiple myeloma (MM) and suspected or confirmed recurrence after stem cell transplantation (SCT). All patients had been heavily pre-treated. Time to progression (TTP) and overall survival (OS) were correlated to a number of different PET-derived as well as clinical parameters. Impact on patient management was assessed.
Absence of FDG-avid MM foci was a positive prognostic factor for both TTP and OS (p<0.01). Presence of >10 focal lesions correlated with both TTP (p<0.01) and OS (p<0.05). Interestingly, presence of >10 lesions in the appendicular skeleton proved to have the strongest association with disease progression. Intensity of glucose uptake and presence of extramedullary disease were associated with shorter TTP (p=0.037 and p=0.049, respectively). Manifestations in soft tissue structures turned out to be a strong negative predictor for both, TTP and OS (p<0.01, respectively). PET resulted in a change of management in 30% of patients.
Our data underline the prognostic value of 18F-FDG-PET/CT in MM patients also in the setting of post-SCT relapse. PET/CT has a significant impact on patient management.
Background: Over the recent years, technological advances of wrist-worn fitness trackers heralded a new era in the continuous monitoring of vital signs. So far, these devices have primarily been used for sports.
Objective: However, for using these technologies in health care, further validations of the measurement accuracy in hospitalized patients are essential but lacking to date.
Methods: We conducted a prospective validation study with 201 patients after moderate to major surgery in a controlled setting to benchmark the accuracy of heart rate measurements in 4 consumer-grade fitness trackers (Apple Watch 7, Garmin Fenix 6 Pro, Withings ScanWatch, and Fitbit Sense) against the clinical gold standard (electrocardiography).
Results: All devices exhibited high correlation (r≥0.95; P<.001) and concordance (rc≥0.94) coefficients, with a relative error as low as mean absolute percentage error <5% based on 1630 valid measurements. We identified confounders significantly biasing the measurement accuracy, although not at clinically relevant levels (mean absolute error<5 beats per minute).
Conclusions: Consumer-grade fitness trackers appear promising in hospitalized patients for monitoring heart rate.
Background
International research for acute myocardial infarction lacks comparisons of whole health systems. We assessed time trends for care and outcomes in Sweden and the UK.
Methods
We used data from national registries on consecutive patients registered between 2004 and 2010 in all hospitals providing care for acute coronary syndrome in Sweden and the UK. The primary outcome was all-cause mortality 30 days after admission. We compared effectiveness of treatment by indirect casemix standardisation. This study is registered with ClinicalTrials.gov, number NCT01359033.
Findings
We assessed data for 119 786 patients in Sweden and 391 077 in the UK. 30-day mortality was 7·6% (95% CI 7·4–7·7) in Sweden and 10·5% (10·4–10·6) in the UK. Mortality was higher in the UK in clinically relevant subgroups defined by troponin concentration, ST-segment elevation, age, sex, heart rate, systolic blood pressure, diabetes mellitus status, and smoking status. In Sweden, compared with the UK, there was earlier and more extensive uptake of primary percutaneous coronary intervention (59% vs 22%) and more frequent use of β blockers at discharge (89% vs 78%). After casemix standardisation the 30-day mortality ratio for UK versus Sweden was 1·37 (95% CI 1·30–1·45), which corresponds to 11 263 (95% CI 9620–12 827) excess deaths, but did decline over time (from 1·47, 95% CI 1·38–1·58 in 2004 to 1·20, 1·12–1·29 in 2010; p=0·01).
Interpretation
We found clinically important differences between countries in acute myocardial infarction care and outcomes. International comparisons research might help to improve health systems and prevent deaths.
Background: Sudden cardiac death is common and accounts largely for the excess mortality of patients on maintenance dialysis. It is unknown whether aldosterone and cortisol increase the incidence of sudden cardiac death in dialysis patients.
Methods and results: We analysed data from 1255 diabetic haemodialysis patients participating in the German Diabetes and Dialysis Study (4D Study). Categories of aldosterone and cortisol were determined at baseline and patients were followed for a median of 4 years. By Cox regression analyses, hazard ratios (HRs) were determined for the effect of aldosterone, cortisol, and their combination on sudden death and other adjudicated cardiovascular outcomes. The mean age of the patients was 66 ± 8 years (54% male). Median aldosterone was <15 pg/mL (detection limit) and cortisol 16.8 µg/dL. Patients with aldosterone levels >200 pg/mL had a significantly higher risk of sudden death (HR: 1.69; 95% CI: 1.06–2.69) compared with those with an aldosterone <15 pg/mL. The combined presence of high aldosterone (>200 pg/mL) and high cortisol (>21.1 µg/dL) levels increased the risk of sudden death in striking contrast to patients with low aldosterone (<15 pg/mL) and low cortisol (<13.2 µg/dL) levels (HR: 2.86, 95% CI: 1.32–6.21). Furthermore, all-cause mortality was significantly increased in the patients with high levels of both hormones (HR: 1.62, 95% CI: 1.01–2.62).
Conclusions: The joint presence of high aldosterone and high cortisol levels is strongly associated with sudden cardiac death as well as all-cause mortality in haemodialysed type 2 diabetic patients. Whether a blockade of the mineralocorticoid receptor decreases the risk of sudden death in these patients must be examined in future trials.
Ambalytics: a scalable and distributed system architecture concept for bibliometric network analyses
(2021)
A deep understanding about a field of research is valuable for academic researchers. In addition to technical knowledge, this includes knowledge about subareas, open research questions, and social communities (networks) of individuals and organizations within a given field. With bibliometric analyses, researchers can acquire quantitatively valuable knowledge about a research area by using bibliographic information on academic publications provided by bibliographic data providers. Bibliometric analyses include the calculation of bibliometric networks to describe affiliations or similarities of bibliometric entities (e.g., authors) and group them into clusters representing subareas or communities. Calculating and visualizing bibliometric networks is a nontrivial and time-consuming data science task that requires highly skilled individuals. In addition to domain knowledge, researchers must often provide statistical knowledge and programming skills or use software tools having limited functionality and usability. In this paper, we present the ambalytics bibliometric platform, which reduces the complexity of bibliometric network analysis and the visualization of results. It accompanies users through the process of bibliometric analysis and eliminates the need for individuals to have programming skills and statistical knowledge, while preserving advanced functionality, such as algorithm parameterization, for experts. As a proof-of-concept, and as an example of bibliometric analyses outcomes, the calculation of research fronts networks based on a hybrid similarity approach is shown. Being designed to scale, ambalytics makes use of distributed systems concepts and technologies. It is based on the microservice architecture concept and uses the Kubernetes framework for orchestration. This paper presents the initial building block of a comprehensive bibliometric analysis platform called ambalytics, which aims at a high usability for users as well as scalability.
Hintergrund und Fragestellung
Die Entwöhnung von Beatmungsgeräten wird nicht immer auf der primär behandelnden Intensivstation abgeschlossen. Die Weiterverlegung in andere Behandlungseinrichtungen stellt einen sensiblen Abschnitt in der Behandlung und Rehabilitation des Weaningpatienten dar. Ziel der vorliegenden Studie war die Untersuchung des Überleitungsmanagements und des Interhospitaltransfers von Weaningpatienten unter besonderer Berücksichtigung der Dokumentationsqualität.
Methodik
Es erfolge eine retrospektive Datenanalyse eines Jahrs (2018) auf 2 Intensivstationen eines Universitätsklinikums. Eingeschlossen wurden alle beatmeten Patienten mit folgenden Tracerdiagnosen: COPD, Asthma, Polytrauma, Pneumonie, Sepsis, ARDS und Reanimation (Beatmung > 24 h).
Ergebnisse
Insgesamt konnten 750 Patienten in die Untersuchung eingeschlossen werden (Alter 64 [52, 8–76; Median, IQR]; 32 % weiblich). Davon waren 48 (6,4 %) Patienten zum Zeitpunkt der Verlegung nicht entwöhnt (v. a. Sepsis und ARDS). Die Routinedokumentation war bei den Abschnitten „Spontaneous Breathing Trial“, „Bewertung der Entwöhungsbereitschaft“ und „vermutete Entwöhnbarkeit“ ausreichend, um die Erfüllung der Parameter der S2k-Leitlinie „Prolongiertes Weaning“ adäquat zu beurteilen. Vorwiegend wurden diese Patienten mit Tracheostoma (76 %) in Rehabilitationskliniken (44 %) mittels spezialisierten Rettungsmitteln des arztbegleiteten Patiententransports verlegt (75 %).
Diskussion
Die Verlegung nicht entwöhnter Patienten nach initialem Intensivaufenthalt ist ein relevantes Thema für den Interhospitaltransfer. Die Routinedokumentation eines strukturierten Weaningprozesses ist in Kernelementen ausreichend, um den Weaningprozess lückenlos zu beschreiben. Dies ist für die Kontinuität in der Weiterbehandlung dieser Patienten von großer Bedeutung.
Onkologische Patienten sowie klinische Forscher zeigen zunehmendes Interesse an Yogainterventionen als komplementäres Therapieverfahren zur Behandlung psychischer und körperlicher Beschwerden. Kurzzeitige Effekte von Yogatherapien auf die häufig krebsassoziierten Symptome Angst, Depressivität und Fatigue wurden in zahlreichen Studien untersucht. Die Ergebnisse der Untersuchungen legen nahe, dass Tumorpatienten unmittelbar nach einer Yogaintervention eine Verbesserung der genannten Symptome erleben. Allerdings ist bisher unzureichend untersucht, ob ein Rückgang von Angst, Depressivität und Fatigue langfristig besteht.
Ziel der Studie war es daher, nachhaltige Veränderungen von Angst, Depressivität und Fatigue bei Tumorpatienten im Rahmen einer achtwöchigen Yogaintervention zu untersuchen. Wir nahmen an, dass Angst, Depressivität und Fatigue sechs Monate nach einer Yogaintervention genauso niedrig wie unmittelbar nach der Intervention sind und sich signifikant von den Ausgangswerten vor der Intervention unterscheiden. Außerdem sollte untersucht werden, wie viele Teilnehmer die Yogapraxis nach einer Yogaintervention fortführen und ob sich dies auf die Zielparameter auswirkt.
Durch eine klinische Studie im Prä-Post-Design wurden die Hypothesen geprüft. Dazu wurden Daten von 58 Teilnehmern mit unterschiedlichen Tumorerkrankungen vor, unmittelbar nach und sechs Monate nach einer achtwöchigen Gentle Hatha- Yogaintervention mittels standardisierter psychologischer Fragebögen gesammelt.
Die Mehrheit der Studienteilnehmer war weiblich (90%) und wies anamnestisch eine Mammakarzinom-Erkrankung auf (55%). Die Ergebnisse legen nahe, dass Angst und Fatigue zwischen Interventionsende und sechs Monaten später leicht zunahmen, wohingegen depressive Symptome stabil blieben. Im Vergleich zu den Ausgangswerten vor der Intervention waren Angst, Depressivität und Fatigue sechs Monate nach Interventionsende signifikant reduziert. Ein halbes Jahr nach Beendigung der Yogaintervention gaben 69% der Teilnehmer an, weiterhin Yoga zu praktizieren. Befragungen zeigten, dass die Teilnehmer subjektiv von der Yogapraxis profitierten. Die fortgeführte Yogapraxis stand jedoch nicht mit der Ausprägung von Angst, Depressivität und Fatigue zum Follow-up-Zeitpunkt in Zusammenhang.
Die Ergebnisse deuten darauf hin, dass Tumorpatienten langfristig von einer Verbesserung von Angst, Depressivität und Fatigue im Rahmen einer Yogatherapie profitieren könnten. Ein kausaler Zusammenhang zwischen Yogatherapie und der gefundenen Verbesserung sechs Monate nach Therapieende konnte jedoch durch die fehlende Kontrollbedingung nicht belegt werden. In Zukunft sollten große randomisierte kontrollierte Studien die vermutete Kausalität untersuchen.
o build, run, and maintain reliable manufacturing machines, the condition of their components has to be continuously monitored. When following a fine-grained monitoring of these machines, challenges emerge pertaining to the (1) feeding procedure of large amounts of sensor data to downstream processing components and the (2) meaningful analysis of the produced data. Regarding the latter aspect, manifold purposes are addressed by practitioners and researchers. Two analyses of real-world datasets that were generated in production settings are discussed in this paper. More specifically, the analyses had the goals (1) to detect sensor data anomalies for further analyses of a pharma packaging scenario and (2) to predict unfavorable temperature values of a 3D printing machine environment. Based on the results of the analyses, it will be shown that a proper management of machines and their components in industrial manufacturing environments can be efficiently supported by the detection of anomalies. The latter shall help to support the technical evangelists of the production companies more properly.
Process models are crucial artifacts in many domains, and hence, their proper comprehension is of importance. Process models mediate a plethora of aspects that are needed to be comprehended correctly. Novices especially face difficulties in the comprehension of process models, since the correct comprehension of such models requires process modeling expertise and visual observation capabilities to interpret these models correctly. Research from other domains demonstrated that the visual observation capabilities of experts can be conveyed to novices. In order to evaluate the latter in the context of process model comprehension, this paper presents the results from ongoing research, in which gaze data from experts are used as Eye Movement Modeling Examples (EMMEs) to convey visual observation capabilities to novices. Compared to prior results, the application of EMMEs improves process model comprehension significantly for novices. Novices achieved in some cases similar performances in process model comprehension to experts. The study's insights highlight the positive effect of EMMEs on fostering the comprehension of process models.
Background: Tinnitus is often described as the phantom perception of a sound and is experienced by 5.1% to 42.7% of the population worldwide, at least once during their lifetime. The symptoms often reduce the patient's quality of life. The TrackYourTinnitus (TYT) mobile health (mHealth) crowdsensing platform was developed for two operating systems (OS)-Android and iOS-to help patients demystify the daily moment-to-moment variations of their tinnitus symptoms. In all platforms developed for more than one OS, it is important to investigate whether the crowdsensed data predicts the OS that was used in order to understand the degree to which the OS is a confounder that is necessary to consider.