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Introduction
Although shoulder girdle injuries are frequent, those of the medial part are widely unexplored.
Our aim is to improve the knowledge of this rare injury and its management in Germany
by big data analysis.
Methods
The data are based on ICD-10 codes of all German hospitals as provided by the German
Federal Statistical Office. Based on the ICD-10 codes S42.01 (medial clavicle fracture,
MCF) and S43.2 (sternoclavicular joint dislocation, SCJD), anonymized patient data from
2012 to 2014 were evaluated retrospectively for epidemiologic issues. We analyzed especially
the concomitant injuries and therapy strategies.
Results
A total of 114,003 cases with a clavicle involving shoulder girdle injury were identified with
12.5% of medial clavicle injuries (MCI). These were accompanied by concomitant injuries,
most of which were thoracic and craniocerebral injuries as well as injuries at the shoulder/
upper arm. A significant difference between MCF and SCJD concerning concomitant injuries
only appears for head injuries (p = 0.003). If MCI is the main diagnosis, soft tissue injuries
typically occur as secondary diagnoses. The MCI are significantly more often
associated with concomitant injuries (p < 0.001) for almost each anatomic region compared
with lateral clavicle injuries (LCI). The main differences were found for thoracic and upper
extremity injuries. Different treatment strategies were used, most frequently plate osteosynthesis
in more than 50% of MCF cases. Surgery on SCJD was performed with K-wires,
tension flange or absorbable materials, fewer by plate osteosynthesis.
Conclusions
We proved that MCI are rare injuries, which might be why they are treated by inhomogeneous
treatment strategies. No standard procedure has yet been established. MCI can
occur in cases of severely injured patients, often associated with severe thoracic or other
concomitant injuries. Therefore, MCI appear to be more complex than LCI. Further studies
are required regarding the development of standard treatment strategy and representative
clinical studies.
Background
Approaching epidemiological data with flexible machine learning algorithms is of great value for understanding disease-specific association patterns. However, it can be difficult to correctly extract and understand those patterns due to the lack of model interpretability.
Method
We here propose a machine learning workflow that combines random forests with Bayesian network surrogate models to allow for a deeper level of interpretation of complex association patterns. We first evaluate the proposed workflow on synthetic data. We then apply it to data from the large population-based Study of Health in Pomerania (SHIP). Based on this combination, we discover and interpret broad patterns of individual serum TSH concentrations, an important marker of thyroid functionality.
Results
Evaluations using simulated data show that feature associations can be correctly recovered by combining random forests and Bayesian networks. The presented model achieves predictive accuracy that is similar to state-of-the-art models (root mean square error of 0.66, mean absolute error of 0.55, coefficient of determination of R2 = 0.15). We identify 62 relevant features from the final random forest model, ranging from general health variables over dietary and genetic factors to physiological, hematological and hemostasis parameters. The Bayesian network model is used to put these features into context and make the black-box random forest model more understandable.
Conclusion
We demonstrate that the combination of random forest and Bayesian network analysis is helpful to reveal and interpret broad association patterns of individual TSH concentrations. The discovered patterns are in line with state-of-the-art literature. They may be useful for future thyroid research and improved dosing of therapeutics.
Background
In the German health care system, parents with an acutely ill child can visit an emergency room (ER) 24 hours a day, seven days a week. At the ER, the patient receives a medical consultation. Many parents use these facilities as they do not know how urgently their child requires medical attention. In recent years, paediatric departments in smaller hospitals have been closed, particularly in rural regions. As a result of this, the distances that patients must travel to paediatric care facilities in these regions are increasing, causing more children to visit an ER for adults. However, paediatric expertise is often required in order to assess how quickly the patient requires treatment and select an adequate treatment. This decision is made by a doctor in German ERs. We have examined whether remote paediatricians can perform a standardised urgency assessment (triage) using a video conferencing system.
Methods
Only acutely ill patients who were brought to a paediatric emergency room (paedER) by their parents or carers, without prior medical consultation, have been included in this study. First, an on-site paediatrician assessed the urgency of each case using a standardised triage. In order to do this, the Paediatric Canadian Triage and Acuity Scale (PaedCTAS) was translated into German and adapted for use in a standardised IT-based data collection tool. After the initial on-site triage, a telemedicine paediatrician, based in a different hospital, repeated the triage using a video conferencing system. Both paediatricians used the same triage procedure. The primary outcome was the degree of concordance and interobserver agreement, measured using Cohen’s kappa, between the two paediatricians. We have also included patient and assessor demographics.
Results
A total of 266 patients were included in the study. Of these, 227 cases were eligible for the concordance analysis. In n = 154 cases (68%), there was concordance between the on-site paediatrician’s and telemedicine paediatrician’s urgency assessments. In n = 50 cases (22%), the telemedicine paediatrician rated the urgency of the patient’s condition higher (overtriage); in 23 cases (10%), the assessment indicated a lower urgency (undertriage). Nineteen medical doctors were included in the study, mostly trained paediatric specialists. Some of them acted as an on-site doctor and telemedicine doctor. Cohen’s weighted kappa was 0.64 (95% CI: 0.49–0.79), indicating a substantial agreement between the specialists.
Conclusions
Telemedical triage can assist in providing acute paediatric care in regions with a low density of paediatric care facilities. The next steps are further developing the triage tool and implementing telemedicine urgency assessment in a larger network of hospitals in order to improve the integration of telemedicine into hospitals’ organisational processes. The processes should include intensive training for the doctors involved in telemedical triage.
Background
Numerous wearables are used in a research context to record cardiac activity although their validity and usability has not been fully investigated. The objectives of this study is the cross-model comparison of data quality at different realistic use cases (cognitive and physical tasks). The recording quality is expressed by the ability to accurately detect the QRS complex, the amount of noise in the data, and the quality of RR intervals.
Methods
Five ECG devices (eMotion Faros 360°, Hexoskin Hx1, NeXus-10 MKII, Polar RS800 Multi and SOMNOtouch NIBP) were attached and simultaneously tested in 13 participants. Used test conditions included: measurements during rest, treadmill walking/running, and a cognitive 2-back task. Signal quality was assessed by a new local morphological quality parameter morphSQ which is defined as a weighted peak noise-to-signal ratio on percentage scale. The QRS detection performance was evaluated with eplimited on synchronized data by comparison to ground truth annotations. A modification of the Smith-Waterman algorithm has been used to assess the RR interval quality and to classify incorrect beat annotations. Evaluation metrics includes the positive predictive value, false negative rates, and F1 scores for beat detection performance.
Results
All used devices achieved sufficient signal quality in non-movement conditions. Over all experimental phases, insufficient quality expressed by morphSQ values below 10% was only found in 1.22% of the recorded beats using eMotion Faros 360°whereas the rate was 8.67% with Hexoskin Hx1. Nevertheless, QRS detection performed well across all used devices with positive predictive values between 0.985 and 1.000. False negative rates are ranging between 0.003 and 0.017. eMotion Faros 360°achieved the most stable results among the tested devices with only 5 false positive and 19 misplaced beats across all recordings identified by the Smith-Waterman approach.
Conclusion
Data quality was assessed by two new approaches: analyzing the noise-to-signal ratio using morphSQ, and RR interval quality using Smith-Waterman. Both methods deliver comparable results. However the Smith-Waterman approach allows the direct comparison of RR intervals without the need for signal synchronization whereas morphSQ can be computed locally.
Background
Vulnerable groups, e.g. persons with mental illness, neurological deficits or dementia, are often excluded as participants from research projects because obtaining informed consent can be difficult and tedious. This may have the consequence that vulnerable groups benefit less from medical progress. Vulnerable persons are often supported by a legal guardian in one or more demands of their daily life. We examined the attitudes of legal guardians and legally supervised persons towards medical research and the conditions and motivations to participate in studies.
Methods
We conducted a cross-sectional study with standardized surveys of legal guardians and legally supervised persons. Two separate questionnaires were developed for the legal guardians and the supervised persons to asses previous experiences with research projects and the reasons for participation or non-participation. The legal guardians were recruited through various guardianship organizations. The supervised persons were recruited through their legal guardian and from a previous study among psychiatric patients. The data were analysed descriptively.
Results
Alltogether, 82 legal guardians and 20 legally supervised persons could be recruited. Thereof 13 legal guardians (15.6%) and 13 legally supervised persons (65.0%) had previous experience with research projects. The majority of the guardians with experience in research projects had consented the participation of their supervised persons (n = 12 guardians, 60.0%; in total n = 16 approvals). The possible burden on the participating person was given as the most frequent reason not to participate both by the guardians (n = 44, 54.4%) and by the supervised persons (n = 3, 30.0%). The most frequent motivation to provide consent to participate in a research study was the desire to help other patients by gaining new scientific knowledge (guardians: n = 125, 78.1%; supervised persons: n = 10, 66.6%).
Conclusions
Overall, an open attitude towards medical research can be observed both among legal guardians and supervised persons. Perceived risks and no sense recognized in the study are reasons for not participating in medical research projects.