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  1. Book ; Thesis: Untersuchungen zum diagnostischen und therapeutischen Vorgehen bei inzidentell entdeckten Raumforderungen der Leber

    Marowsky, Anna-Lena / Matthaei, Hanno

    2020  

    Institution Rheinische Friedrich-Wilhelms-Universität Bonn
    Author's details Anna-Lena Marowsky ; 1. Gutachter: PD Dr. med. Hanno Matthaei
    Language German
    Size 102 Seiten, Illustrationen, Diagramme
    Publishing place Bonn
    Publishing country Germany
    Document type Book ; Thesis
    Thesis / German Habilitation thesis Dissertation, Rheinische Friedrich-Wilhelms-Universität Bonn, 2020
    HBZ-ID HT020559330
    Database Catalogue ZB MED Medicine, Health

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    In stock of ZB MED Cologne/Königswinter

    Shelf markLoan statusLocation
    2021 D 141 order for loan Magazin

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  2. Book ; Thesis: Kompartmentresektion und Lebensqualität beim Weichteilsarkom im Erwachsenenalter

    Matthaei, Hanno

    2006  

    Author's details vorgelegt von Hanno Matthaei
    Language German
    Size 96 Bl. : graph. Darst.
    Publishing country Germany
    Document type Book ; Thesis
    Thesis / German Habilitation thesis Düsseldorf, Univ., Diss., 2006
    HBZ-ID HT014924637
    Database Catalogue ZB MED Medicine, Health

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    In stock of ZB MED Cologne/Königswinter

    Shelf markLoan statusLocation
    2007 E 1277 order for loan Magazin

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  3. Book ; Online ; Thesis: Online-Aufklärung in der Anästhesiologie

    Cudian, Dishalen [Verfasser] / Wittmann, Maria [Akademischer Betreuer] / Matthaei, Hanno E.G. [Gutachter]

    aktueller Stand in Europa

    2024  

    Author's details Dishalen Cudian ; Gutachter: Hanno E.G. Matthaei ; Betreuer: Maria Wittmann
    Keywords Medizin, Gesundheit ; Medicine, Health
    Subject code sg610
    Language German
    Publisher Universitäts- und Landesbibliothek Bonn
    Publishing place Bonn
    Document type Book ; Online ; Thesis
    Database Digital theses on the web

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  4. Article ; Online: Clinically Relevant Pancreatic Fistula after Pancreaticoduodenectomy: How We Do It

    Enderes, Jana / Pillny, Christiane / Matthaei, Hanno / Manekeller, Steffen / Kalff, Jörg C. / Glowka, Tim R.

    Biology (Basel). 2023 Jan. 22, v. 12, no. 2

    2023  

    Abstract: 1) Background: This study’s goals were to investigate possible risk factors for clinically relevant postoperative pancreatic fistula (POPF) grade B/C according to the updated definitions of the International Study Group of Pancreatic Surgery and to ... ...

    Abstract (1) Background: This study’s goals were to investigate possible risk factors for clinically relevant postoperative pancreatic fistula (POPF) grade B/C according to the updated definitions of the International Study Group of Pancreatic Surgery and to analyze possible treatment strategies; (2) Methods: Between 2017 and 2021, 200 patients were analyzed regarding the development of POPF grade B/C with an emphasis on postoperative outcome and treatment strategies; (3) Results: POPF grade B/C was observed in 39 patients (19.5%). These patients were younger, mainly male, had fewer comorbidities and showed a higher body mass index. Also, they had lower CA-19 levels, a smaller tumor size and softer pancreatic parenchyma. They experienced a worse outcome without affecting the overall mortality rate (10% vs. 6%, p = 0.481), however, this lead to a prolonged postoperative stay (28 (32–36) d vs. 20 (15–28) d, p ≤ 0.001). The majority of patients with POPF grade B/C were able to receive conservative treatment, followed by drainage placement, endoscopic vacuum-assisted therapy (EVT) and surgery. Conservative treatment resulted in a shorter length of the postoperative stay (24 (22–28) d vs. 34 (26–43) d, p = 0.012); (4) Conclusions: Patients developing POPF grade B/C had a worse outcome; however, this did not affect the overall mortality rate. The majority of the patients were able to receive conservative treatment, resulting in a shorter length of their hospital stay.
    Keywords body mass index ; drainage ; fistula ; hospitals ; males ; mortality ; neoplasms ; risk ; surgery
    Language English
    Dates of publication 2023-0122
    Publishing place Multidisciplinary Digital Publishing Institute
    Document type Article ; Online
    ZDB-ID 2661517-4
    ISSN 2079-7737
    ISSN 2079-7737
    DOI 10.3390/biology12020178
    Database NAL-Catalogue (AGRICOLA)

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  5. Article: Clinically Relevant Pancreatic Fistula after Pancreaticoduodenectomy: How We Do It.

    Enderes, Jana / Pillny, Christiane / Matthaei, Hanno / Manekeller, Steffen / Kalff, Jörg C / Glowka, Tim R

    Biology

    2023  Volume 12, Issue 2

    Abstract: 1) Background: This study's goals were to investigate possible risk factors for clinically relevant postoperative pancreatic fistula (POPF) grade B/C according to the updated definitions of the International Study Group of Pancreatic Surgery and to ... ...

    Abstract (1) Background: This study's goals were to investigate possible risk factors for clinically relevant postoperative pancreatic fistula (POPF) grade B/C according to the updated definitions of the International Study Group of Pancreatic Surgery and to analyze possible treatment strategies; (2) Methods: Between 2017 and 2021, 200 patients were analyzed regarding the development of POPF grade B/C with an emphasis on postoperative outcome and treatment strategies; (3) Results: POPF grade B/C was observed in 39 patients (19.5%). These patients were younger, mainly male, had fewer comorbidities and showed a higher body mass index. Also, they had lower CA-19 levels, a smaller tumor size and softer pancreatic parenchyma. They experienced a worse outcome without affecting the overall mortality rate (10% vs. 6%,
    Language English
    Publishing date 2023-01-22
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2661517-4
    ISSN 2079-7737
    ISSN 2079-7737
    DOI 10.3390/biology12020178
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Obesity Does Not Influence Delayed Gastric Emptying Following Pancreatoduodenectomy.

    Enderes, Jana / Pillny, Christiane / Matthaei, Hanno / Manekeller, Steffen / Kalff, Jörg C / Glowka, Tim R

    Biology

    2022  Volume 11, Issue 5

    Abstract: Background: The data about obesity on postoperative outcome after pancreatoduodenectomy (PD) are inconsistent, specifically in relation to gastric motility and delayed gastric emptying (DGE). Methods: Two hundred and eleven patients were included in the ... ...

    Abstract Background: The data about obesity on postoperative outcome after pancreatoduodenectomy (PD) are inconsistent, specifically in relation to gastric motility and delayed gastric emptying (DGE). Methods: Two hundred and eleven patients were included in the study and patients were retrospectively analyzed in respect to pre-existing obesity (obese patients having a body mass index (BMI) ≥ 30 kg/m2 vs. non-obese patients having a BMI < 30 kg/m2, n = 34, 16% vs. n = 177, 84%) in relation to demographic factors, comorbidities, intraoperative characteristics, mortality and postoperative complications with special emphasis on DGE. Results: Obese patients were more likely to develop clinically relevant pancreatic fistula grade B/C (p = 0.008) and intraabdominal abscess formations (p = 0.017). However, clinically relevant DGE grade B/C did not differ (p = 0.231) and, specifically, first day of solid food intake (p = 0.195), duration of intraoperative administered nasogastric tube (NGT) (p = 0.708), rate of re-insertion of NGT (0.123), total length of NGT (p = 0.471) or the need for parenteral nutrition (p = 0.815) were equally distributed. Moreover, mortality (p = 1.000) did not differ between the two groups. Conclusions: Obese patients do not show a higher mortality rate and are not at higher risk to develop DGE. We thus show that in our study, PD is feasible in the obese patient in regard to postoperative outcome with special emphasis on DGE.
    Language English
    Publishing date 2022-05-17
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2661517-4
    ISSN 2079-7737
    ISSN 2079-7737
    DOI 10.3390/biology11050763
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Machine learning to guide clinical decision-making in abdominal surgery-a systematic literature review.

    Henn, Jonas / Buness, Andreas / Schmid, Matthias / Kalff, Jörg C / Matthaei, Hanno

    Langenbeck's archives of surgery

    2021  Volume 407, Issue 1, Page(s) 51–61

    Abstract: Purpose: An indication for surgical therapy includes balancing benefits against risk, which remains a key task in all surgical disciplines. Decisions are oftentimes based on clinical experience while guidelines lack evidence-based background. Various ... ...

    Abstract Purpose: An indication for surgical therapy includes balancing benefits against risk, which remains a key task in all surgical disciplines. Decisions are oftentimes based on clinical experience while guidelines lack evidence-based background. Various medical fields capitalized the application of machine learning (ML), and preliminary research suggests promising implications in surgeons' workflow. Hence, we evaluated ML's contemporary and possible future role in clinical decision-making (CDM) focusing on abdominal surgery.
    Methods: Using the PICO framework, relevant keywords and research questions were identified. Following the PRISMA guidelines, a systemic search strategy in the PubMed database was conducted. Results were filtered by distinct criteria and selected articles were manually full text reviewed.
    Results: Literature review revealed 4,396 articles, of which 47 matched the search criteria. The mean number of patients included was 55,843. A total of eight distinct ML techniques were evaluated whereas AUROC was applied by most authors for comparing ML predictions vs. conventional CDM routines. Most authors (N = 30/47, 63.8%) stated ML's superiority in the prediction of benefits and risks of surgery. The identification of highly relevant parameters to be integrated into algorithms allowing a more precise prognosis was emphasized as the main advantage of ML in CDM.
    Conclusions: A potential value of ML for surgical decision-making was demonstrated in several scientific articles. However, the low number of publications with only few collaborative studies between surgeons and computer scientists underpins the early phase of this highly promising field. Interdisciplinary research initiatives combining existing clinical datasets and emerging techniques of data processing may likely improve CDM in abdominal surgery in the future.
    MeSH term(s) Algorithms ; Clinical Decision-Making ; Databases, Factual ; Humans ; Machine Learning
    Language English
    Publishing date 2021-10-29
    Publishing country Germany
    Document type Journal Article ; Systematic Review
    ZDB-ID 1423681-3
    ISSN 1435-2451 ; 1435-2443
    ISSN (online) 1435-2451
    ISSN 1435-2443
    DOI 10.1007/s00423-021-02348-w
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: Postoperative paralytic ileus following debulking surgery in ovarian cancer patients.

    Egger, Eva K / Merker, Freya / Ralser, Damian J / Marinova, Milka / Vilz, Tim O / Matthaei, Hanno / Hilbert, Tobias / Mustea, Alexander

    Frontiers in surgery

    2022  Volume 9, Page(s) 976497

    Abstract: Aim: This study aims to evaluate the incidence of postoperative ileus (POI) following cytoreductive surgery in epithelial ovarian cancer (EOC) patients and its impact on anastomotic leakage occurrence and postoperative complications.: Methods: A ... ...

    Abstract Aim: This study aims to evaluate the incidence of postoperative ileus (POI) following cytoreductive surgery in epithelial ovarian cancer (EOC) patients and its impact on anastomotic leakage occurrence and postoperative complications.
    Methods: A total of 357 surgeries were performed on 346 ovarian cancer patients between 1/2010 and 12/2020 at our institution. The postoperative course regarding paralytic ileus, anastomotic leakage, and postoperative complications was analyzed by Fisher's exact test and through ordinal logistic regression.
    Results: A total of 233 patients (65.3%) returned to normal gastrointestinal functions within 3 days after surgery. A total of 123 patients (34.5%) developed POI. There were 199 anastomoses in 165 patients and 24 leakages (12.1%). Postoperative antibiotics (
    Conclusion: Postoperative antibiotics, an early start with laxatives, and stoma creation were associated with reduced POI rates. Patients with anastomoses showed an increased risk for POI. Severe complications, anastomotic leakages, and POI were more common in the case of intraoperative fluid balance exceeding 5,000 cc.
    Language English
    Publishing date 2022-08-24
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2773823-1
    ISSN 2296-875X
    ISSN 2296-875X
    DOI 10.3389/fsurg.2022.976497
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: Assessing the Effects of a Perioperative Nutritional Support and Counseling in Gastrointestinal Cancer Patients: A Retrospective Comparative Study with Historical Controls.

    Klassen, Diana / Strauch, Carmen / Alteheld, Birgit / Lingohr, Philipp / Matthaei, Hanno / Vilz, Tim / Gonzalez-Carmona, Maria A / Hausen, Annekristin / Gräßler, Marie / Sharma, Amit / Strassburg, Christian / Kalff, Jörg C / Schmidt-Wolf, Ingo G H

    Biomedicines

    2023  Volume 11, Issue 2

    Abstract: The aim of this study was to investigate the effects of perioperative nutritional therapy care in gastrointestinal (esophageal, gastric, gastroesophageal) cancer patients on nutritional status and disease progression (complications, hospitalization, ... ...

    Abstract The aim of this study was to investigate the effects of perioperative nutritional therapy care in gastrointestinal (esophageal, gastric, gastroesophageal) cancer patients on nutritional status and disease progression (complications, hospitalization, mortality). We considered 62 gastrointestinal cancer patients treated at the Center for Integrated Oncology (CIO), University Hospital Bonn, Germany (August 2017-July 2019). Of these, 42 patients (as intervention group: IG) received pre- and postoperative nutritional support with counseling, while 20 patients (as historical control group CG) received only postoperative nutritional therapy. Several clinical parameters, such as Body Mass Index (BMI), nutritional risk screening (NRS), phase angle, postoperative complications, length of hospital stay, and mortality, were determined. There were significantly fewer patients with gastric cancer/
    Language English
    Publishing date 2023-02-17
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2720867-9
    ISSN 2227-9059
    ISSN 2227-9059
    DOI 10.3390/biomedicines11020609
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Machine Learning for Decision-Support in Acute Abdominal Pain - Proof of Concept and Central Considerations.

    Henn, Jonas / Hatterscheidt, Simon / Sahu, Anshupa / Buness, Andreas / Dohmen, Jonas / Arensmeyer, Jan / Feodorovici, Philipp / Sommer, Nils / Schmidt, Joachim / Kalff, Jörg C / Matthaei, Hanno

    Zentralblatt fur Chirurgie

    2023  Volume 148, Issue 4, Page(s) 376–383

    Abstract: Acute abdominal pain is a common presenting symptom in the emergency department and represents heterogeneous causes and diagnoses. There is often a decision to be made regarding emergency surgical care. Machine learning (ML) could be used here as a ... ...

    Title translation Maschinelles Lernen als Entscheidungshilfe bei akuten Bauchschmerzen – Proof-of-Concept und zentrale Überlegungen.
    Abstract Acute abdominal pain is a common presenting symptom in the emergency department and represents heterogeneous causes and diagnoses. There is often a decision to be made regarding emergency surgical care. Machine learning (ML) could be used here as a decision-support and relieve the time and personnel resource shortage.Patients with acute abdominal pain presenting to the Department of Surgery at Bonn University Hospital in 2020 and 2021 were retrospectively analyzed. Clinical parameters as well as laboratory values were used as predictors. After randomly splitting into a training and test data set (ratio 80 to 20), three ML algorithms were comparatively trained and validated. The entire procedure was repeated 20 times.A total of 1357 patients were identified and included in the analysis, with one in five (n = 276, 20.3%) requiring emergency abdominal surgery within 24 hours. Patients operated on were more likely to be male (p = 0.026), older (p = 0.006), had more gastrointestinal symptoms (nausea: p < 0.001, vomiting p < 0.001) as well as a more recent onset of pain (p < 0.001). Tenderness (p < 0.001) and guarding (p < 0.001) were more common in surgically treated patients and blood analyses showed increased inflammation levels (white blood cell count: p < 0.001, CRP: p < 0.001) and onset of organ dysfunction (creatinine: p < 0.014, quick p < 0.001). Of the three trained algorithms, the tree-based methods (h2o random forest and cforest) showed the best performance. The algorithms classified patients, i.e., predicted surgery, with a median AUC ROC of 0.81 and 0.79 and AUC PRC of 0.56 in test sets.A proof-of-concept was achieved with the development of an ML model for predicting timely surgical therapy for acute abdomen. The ML algorithm can be a valuable tool in decision-making. Especially in the context of heavily used medical resources, the algorithm can help to use these scarce resources more effectively. Technological progress, especially regarding artificial intelligence, increasingly enables evidence-based approaches in surgery but requires a strictly interdisciplinary approach. In the future, the use and handling of ML should be integrated into surgical training.
    MeSH term(s) Humans ; Abdomen, Acute ; Artificial Intelligence ; Retrospective Studies ; Machine Learning ; Algorithms
    Language English
    Publishing date 2023-08-10
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 200935-3
    ISSN 1438-9592 ; 0044-409X
    ISSN (online) 1438-9592
    ISSN 0044-409X
    DOI 10.1055/a-2125-1559
    Database MEDical Literature Analysis and Retrieval System OnLINE

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