TY  - JOUR
A1  - Hendricks, Anne
A1  - Meir, Michael
A1  - Hankir, Mohammed
A1  - Lenschow, Christina
A1  - Germer, Christoph-Thomas
A1  - Schneider, Michael
A1  - Wiegering, Armin
A1  - Schlegel, Nicolas
T1  - Suppurative thyroiditis caused by ingested fish bone in the thyroid gland: a case report on its diagnostics and surgical therapy
JF  - BMC Surgery
N2  - Background
Accidental ingestion of fish bone is a common cause of otolaryngological emergency. Migration of the ingested bone into the thyroid gland, however, occurs very rarely. The associated clinical presentation, symptoms and duration of discomfort are also highly variable between patients and can be diagnostically challenging.
Case presentation
Here, we report the case of a 71-year-old female patient presenting with an ingested fish bone that migrated into the right thyroid lobe as a rare cause of suppurative thyroiditis with the clinical features of sepsis. We outline the diagnostic approach, peri- and intraoperative management as well as complications. It is proposed that besides endoscopy, imaging methods such as ultrasound or computed tomography may be necessary to verify the diagnosis and location of an ingested fish bone. Prompt surgical removal of the foreign body and resection of the infectious focus is recommended to minimize the risk of local inflammation, recurrent nerve lesions and septic complications arising from the spread of infection.
Conclusion
Fish bone migration into the thyroid gland is an extremely rare event, the successful detection and surgical management of which can be achieved through a careful interdisciplinary approach.
KW  - fish bone
KW  - foreign body ingestion
KW  - thyroid gland
KW  - thyroiditis
KW  - case report
KW  - surgical management
Y1  - 2022
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-299775
VL  - 22
IS  - 1
ER  - 
TY  - JOUR
A1  - Sommer, Kim K.
A1  - Amr, Ali
A1  - Bavendiek, Udo
A1  - Beierle, Felix
A1  - Brunecker, Peter
A1  - Dathe, Henning
A1  - Eils, Jürgen
A1  - Ertl, Maximilian
A1  - Fette, Georg
A1  - Gietzelt, Matthias
A1  - Heidecker, Bettina
A1  - Hellenkamp, Kristian
A1  - Heuschmann, Peter
A1  - Hoos, Jennifer D. E.
A1  - Kesztyüs, Tibor
A1  - Kerwagen, Fabian
A1  - Kindermann, Aljoscha
A1  - Krefting, Dagmar
A1  - Landmesser, Ulf
A1  - Marschollek, Michael
A1  - Meder, Benjamin
A1  - Merzweiler, Angela
A1  - Prasser, Fabian
A1  - Pryss, Rüdiger
A1  - Richter, Jendrik
A1  - Schneider, Philipp
A1  - Störk, Stefan
A1  - Dieterich, Christoph
T1  - Structured, harmonized, and interoperable integration of clinical routine data to compute heart failure risk scores
JF  - Life
N2  - Risk prediction in patients with heart failure (HF) is essential to improve the tailoring of preventive, diagnostic, and therapeutic strategies for the individual patient, and effectively use health care resources. Risk scores derived from controlled clinical studies can be used to calculate the risk of mortality and HF hospitalizations. However, these scores are poorly implemented into routine care, predominantly because their calculation requires considerable efforts in practice and necessary data often are not available in an interoperable format. In this work, we demonstrate the feasibility of a multi-site solution to derive and calculate two exemplary HF scores from clinical routine data (MAGGIC score with six continuous and eight categorical variables; Barcelona Bio-HF score with five continuous and six categorical variables). Within HiGHmed, a German Medical Informatics Initiative consortium, we implemented an interoperable solution, collecting a harmonized HF-phenotypic core data set (CDS) within the openEHR framework. Our approach minimizes the need for manual data entry by automatically retrieving data from primary systems. We show, across five participating medical centers, that the implemented structures to execute dedicated data queries, followed by harmonized data processing and score calculation, work well in practice. In summary, we demonstrated the feasibility of clinical routine data usage across multiple partner sites to compute HF risk scores. This solution can be extended to a large spectrum of applications in clinical care.
KW  - medical informatics initiative
KW  - HiGHmed
KW  - medical data integration center
KW  - clinical routine data
KW  - heart failure
KW  - risk prediction scores
KW  - semantic interoperability
KW  - openEHR
Y1  - 2022
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-275239
SN  - 2075-1729
VL  - 12
IS  - 5
ER  -