GLORIA

GEOMAR Library Ocean Research Information Access

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    Online Resource
    Online Resource
    Ovid Technologies (Wolters Kluwer Health) ; 2021
    In:  Journal of Trauma and Acute Care Surgery Vol. 90, No. 3 ( 2021-3), p. 477-483
    In: Journal of Trauma and Acute Care Surgery, Ovid Technologies (Wolters Kluwer Health), Vol. 90, No. 3 ( 2021-3), p. 477-483
    Abstract: The significance of pneumatosis intestinalis (PI) remains challenging. While certain clinical scenarios are predictive of transmural ischemia, risk models to assess the presence of pathologic PI are needed. The aim of this study was to determine what patient factors at the time of radiographic diagnosis of PI predict the risk for pathologic PI. METHODS We conducted a retrospective cohort study examining patients with PI from 2010 to 2016 at a multicenter hospital network. Multivariate logistic regression was used to develop a predictive model for pathologic PI in a derivation cohort. Using regression-coefficient–based methods, the final multivariate model was converted into a five-factor–based score. Calibration and discrimination of the score were then assessed in a validation cohort. RESULTS Of 305 patients analyzed, 102 (33.4%) had pathologic PI. We identified five factors associated with pathologic PI at the time of radiographic diagnosis: small bowel PI, age 70 years or older, heart rate 110 bpm or greater, lactate of 2 mmol/L or greater, and neutrophil-lymphocyte ratio 10 or greater. Using this model, patients in the validation cohort were assigned risk scores ranging from 0 to 11. Low-risk patients were categorized when scores are 0 to 4; intermediate, score of 5 to 6; high, score of 7 to 8; and very high risk, 9+. In the validation cohort, very high-risk patients (n = 17; 18.1%) had predicted rates of pathologic pneumatosis of 88.9% and an observed rate of 82.4%. In contrast, patients labeled as low risk (n = 37; 39.4%) had expected rates of pathologic pneumatosis of 1.3% and an observed rate of 0%. The model showed excellent discrimination (area under the curve, 0.90) and good calibration (Hosmer-Lemeshow goodness-of-fit, p = 0.37). CONCLUSION Our score accurately stratifies patient risk of pathologic pneumatosis. This score has the potential to target high-risk individuals for expedient operation and spare low-risk individuals invasive interventions. LEVEL OF EVIDENCE Prognostic Study, Level III.
    Type of Medium: Online Resource
    ISSN: 2163-0763 , 2163-0755
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2021
    detail.hit.zdb_id: 2651313-4
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 2
    In: Liver Transplantation, Ovid Technologies (Wolters Kluwer Health), Vol. 29, No. 10 ( 2023-10), p. 1063-1078
    Abstract: The value of minimally invasive approaches for living donor hepatectomy remains unclear. Our aim was to compare the donor outcomes after open versus laparoscopy-assisted versus pure laparoscopic versus robotic living donor hepatectomy (OLDH vs. LALDH vs. PLLDH vs. RLDH). A systematic literature review of the MEDLINE, Cochrane Library, Embase, and Scopus databases was performed according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) statement (up to December 8, 2021). Random-effects meta-analyses were performed separately for minor and major living donor hepatectomy. The risk of bias in nonrandomized studies was assessed using the Newcastle-Ottawa Scale. A total of 31 studies were included. There was no difference in donor outcomes after OLDH versus LALDH for major hepatectomy. However, PLLDH was associated with decreased estimated blood loss, length of stay (LOS), and overall complications versus OLDH for minor and major hepatectomy, but also with increased operative time for major hepatectomy. PLLDH was associated with decreased LOS versus LALDH for major hepatectomy. RLDH was associated with decreased LOS but with increased operative time versus OLDH for major hepatectomy. The scarcity of studies comparing RLDH versus LALDH/PLLDH did not allow us to meta-analyze donor outcomes for that comparison. There seems to be a marginal benefit in estimated blood loss and/or LOS in favor of PLLDH and RLDH. The complexity of these procedures limits them to transplant centers with high volume and experience. Future studies should investigate self-reported donor experience and the associated economic costs of these approaches.
    Type of Medium: Online Resource
    ISSN: 1527-6465
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2023
    detail.hit.zdb_id: 2002186-0
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 3
    In: Clinical Transplantation, Wiley, Vol. 36, No. 9 ( 2022-09)
    Abstract: High kidney‐donor profile index (KDPI) kidneys have a shorter survival than grafts with lower KDPI values. It is still unclear, however, whether their shorter longevity depends on an inferior baseline function, faster functional decline, or the combination of both. Methods We analyzed the estimated glomerular filtration rate (eGFR) of 605 consecutive recipients of deceased donor kidney transplants (KT) at 1, 3, 6, 12, 18, 24, 36, 48, and 60 months. Comparisons were performed among four groups based on KDPI quartile: Group I‐KDPI ≤ 25% ( n  = 151), Group II‐KDPI 26–50% ( n  = 182), Group III‐KDPI 51–75% ( n  = 176), and Group IV‐KDPI 〉 75% ( n  = 96). Linear mixed model analysis was subsequently used to assess whether KDPI was independently associated with the decline in eGFR during the first 5‐years after KT. We also analyzed the incidence of delayed graft function (DGF), rejection within the first year after KT, patient survival, graft survival, and death censored graft survival based on KDPI group. Findings High‐KDPI grafts had lower eGFR immediately after KT, had a higher incidence of DGF and rejection. However, there were no signifcant differences in the adjusted rate (slope) of decline in eGFR among the four KDPI groups ( P  = .06). Although patient survival was signigicantly lower for recipients of high‐KDPI grafts, death‐censored graft survival was similar among the four KDPI groups ( P  = .33). Conclusions The shorter functional survival of high‐KDPI grafts seems to be due to their lower baseline eGFR rather than a more rapid functional decline after KT.
    Type of Medium: Online Resource
    ISSN: 0902-0063 , 1399-0012
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 2739458-X
    detail.hit.zdb_id: 2004801-4
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 4
    In: HPB, Elsevier BV, Vol. 23, No. 2 ( 2021-02), p. 309-320
    Type of Medium: Online Resource
    ISSN: 1365-182X
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2021
    detail.hit.zdb_id: 2071267-4
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 5
    Online Resource
    Online Resource
    American Diabetes Association ; 2022
    In:  Diabetes Vol. 71, No. Supplement_1 ( 2022-06-01)
    In: Diabetes, American Diabetes Association, Vol. 71, No. Supplement_1 ( 2022-06-01)
    Abstract: Introduction: High Mobility Group Box-1 (HMGB1) is strongly associated with Type 2 Diabetes (T2D) and hepatocyte function. HMGB1 can regulate mitochondrial function under high glucose conditions. Our group has shown that knockdown of HMGB1 reduces hyperglycemia with decrease insulin activity. We want to further understand the role of HMGB1 in hepatocyte mitochondrial function and the insulin/AKT signaling, a vital pathway in glucose hemostasis. We hypothesize that by decreasing HMGB1, hepatocytes increase glucose uptake by regulating mitochondrial function with more effective Insulin/AKT signaling. Methods: Primary hepatocytes and liver lysates were isolated from inducible HMGB1 KO (iHMGB1 KO) and HMGB1 Flox (wildtype) mice after Tamoxifen and Streptozotocin IP injections for HMGB1 knockout and T2D-10-weeks development. HMGB1 knockdown and insulin/AKT signaling were assessed by RT-PCR and immunoblot. Flow cytometry was performed on primary hepatocyte cell suspension for mitochondrial function/mass (TMRE, Mitotracker) and glucose uptake (NDBG) cellular markers. Results: Liver lysates showed significant decreased expression/activity of HMGB1, Insulin Receptor-B, phosphorylated AKT, PDK and SIRT3 in iHMGB1 KO T2D mice. A counter regulator of metabolic and glucose activity, phosphorylated PDH, was found increased in iHMGB1 KO mice. Flow cytometry of isolated hepatocytes showed that iHMGB1 KO T2D animals had significantly less mitochondrial mass and functioning mitochondria, however showed increased glucose uptake. Conclusion: We found a potential mechanism by which HMGB1 regulates glucose uptake by regulating mitochondrial function and mass potentially by regulating the effectiveness of the Insulin/Akt signaling in T2D. Future studies will be directed to test glucose transport/metabolism in HMGB1 KO hepatocytes guided by more effective Insulin activity in the mediation of mitochondria function at the different stages of T2D progression. Disclosure Z.Liu: None. C.Kaltenmeier: None. R.I.Mota alvidrez: None. Funding This work was funded by department of surgery support for RIMA
    Type of Medium: Online Resource
    ISSN: 0012-1797
    Language: English
    Publisher: American Diabetes Association
    Publication Date: 2022
    detail.hit.zdb_id: 1501252-9
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 6
    In: Canadian Journal of Gastroenterology and Hepatology, Hindawi Limited, Vol. 2021 ( 2021-11-30), p. 1-8
    Abstract: Introduction. Hepatocellular carcinoma (HCC) accounts for approximately 90% of primary liver malignancies and is currently the fourth most common cause of cancer-related death worldwide. Due to varying underlying etiologies, the prognosis of HCC differs greatly among patients. It is important to develop ways to help stratify patients upon initial diagnosis to provide optimal treatment modalities and follow-up plans. The current study uses Artificial Neural Network (ANN) and Classification Tree Analysis (CTA) to create a gene signature score that can help predict survival in patients with HCC. Methods. The Cancer Genome Atlas (TCGA-LIHC) was analyzed for differentially expressed genes. Clinicopathological data were obtained from cBioPortal. ANN analysis of the 75 most significant genes predicting disease-free survival (DFS) was performed. Next, CTA results were used for creation of the scoring system. Cox regression was performed to identify the prognostic value of the scoring system. Results. 363 patients diagnosed with HCC were analyzed in this study. ANN provided 15 genes with normalized importance 〉 50%. CTA resulted in a set of three genes (NRM, STAG3, and SNHG20). Patients were then divided in to 4 groups based on the CTA tree cutoff values. The Kaplan–Meier analysis showed significantly reduced DFS in groups 1, 2, and 3 (median DFS: 29.7 months, 16.1 months, and 11.7 months, p  〈  0.01) compared to group 0 (median not reached). Similar results were observed when overall survival (OS) was analyzed. On multivariate Cox regression, higher scores were associated with significantly shorter DFS (1 point: HR 2.57 (1.38–4.80), 2 points: 3.91 (2.11–7.24), and 3 points: 5.09 (2.70–9.58), p  〈  0.01). Conclusion. Long-term outcomes of patients with HCC can be predicted using a simplified scoring system based on tumor mRNA gene expression levels. This tool could assist clinicians and researchers in identifying patients at increased risks for recurrence to tailor specific treatment and follow-up strategies for individual patients.
    Type of Medium: Online Resource
    ISSN: 2291-2797 , 2291-2789
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2021
    detail.hit.zdb_id: 2762184-4
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 7
    Online Resource
    Online Resource
    Cambridge University Press (CUP) ; 2019
    In:  Journal of Clinical and Translational Science Vol. 3, No. s1 ( 2019-03), p. 60-61
    In: Journal of Clinical and Translational Science, Cambridge University Press (CUP), Vol. 3, No. s1 ( 2019-03), p. 60-61
    Abstract: OBJECTIVES/SPECIFIC AIMS: This retrospective study aims to create and train machine learning models using a radiomic-based feature extraction method for two classification tasks: benign vs. pathologic PI and operation of benefit vs. operation not needed. The long-term goal of our study is to build a computerized model that incorporates both radiomic features and critical non-imaging clinical factors to improve current surgical decision-making when managing PI patients. METHODS/STUDY POPULATION: Searched radiology reports from 2010-2012 via the UPMC MARS Database for reports containing the term “pneumatosis” (subsequently accounting for negations and age restrictions). Our inclusion criteria included: patient age 18 or older, clinical data available at time of CT diagnosis, and PI visualized on manual review of imaging. Cases with intra-abdominal free air were excluded. Collected CT imaging data and an additional 149 clinical data elements per patient for a total of 75 PI cases. Data collection of an additional 225 patients is ongoing. We trained models for two clinically-relevant prediction tasks. The first (referred to as prediction task 1) classifies between benign and pathologic PI. Benign PI is defined as either lack of intraoperative visualization of transmural intestinal necrosis or successful non-operative management until discharge. Pathologic PI is defined as either intraoperative visualization of transmural PI or withdrawal of care and subsequent death during hospitalization. The distribution of data samples for prediction task 1 is 47 benign cases and 38 pathologic cases. The second (referred to as prediction task 2) classifies between whether the patient benefitted from an operation or not. “Operation of benefit” is defined as patients with PI, be it transmural or simply mucosal, who benefited from an operation. “Operation not needed” is defined as patients who were safely discharged without an operation or patients who had an operation, but nothing was found. The distribution of data samples for prediction task 2 is 37 operation not needed cases and 38 operation of benefit cases. An experienced surgical resident from UPMC manually segmented 3D PI ROIs from the CT scans (5 mm Axial cut) for each case. The most concerning ~10-15 cm segment of bowel for necrosis with a 1 cm margin was selected. A total of 7 slices per patient were segmented for consistency. For both prediction task 1 and prediction task 2, we independently completed the following procedure for testing and training: 1.) Extracted radiomic features from the 3D PI ROIs that resulted in 99 total features. 2.) Used LASSO feature selection to determine the subset of the original 99 features that are most significant for performance of the prediction task. 3.) Used leave-one-out cross-validation for testing and training to account for the small dataset size in our preliminary analysis. Implemented and trained several machine learning models (AdaBoost, SVM, and Naive Bayes). 4.) Evaluated the trained models in terms of AUC and Accuracy and determined the ideal model structure based on these performance metrics. RESULTS/ANTICIPATED RESULTS: Prediction Task 1: The top-performing model for this task was an SVM model trained using 19 features. This model had an AUC of 0.79 and an accuracy of 75%. Prediction Task 2: The top-performing model for this task was an SVM model trained using 28 features. This model had an AUC of 0.74 and an accuracy of 64%. DISCUSSION/SIGNIFICANCE OF IMPACT: To the best of our knowledge, this is the first study to use radiomic-based machine learning models for the prediction of tissue ischemia, specifically intestinal ischemia in the setting of PI. In this preliminary study, which serves as a proof of concept, the performance of our models has demonstrated the potential of machine learning based only on radiomic imaging features to have discriminative power for surgical decision-making problems. While many non-imaging-related clinical factors play a role in the gestalt of clinical decision making when PI presents, we have presented radiomic-based models that may augment this decision-making process, especially for more difficult cases when clinical features indicating acute abdomen are absent. It should be noted that prediction task 2, whether or not a patient presenting with PI would benefit from an operation, has lower performance than prediction task 1 and is also a more challenging task for physicians in real clinical environments. While our results are promising and demonstrate potential, we are currently working to increase our dataset to 300 patients to further train and assess our models. References DuBose, Joseph J., et al. “Pneumatosis Intestinalis Predictive Evaluation Study (PIPES): a multicenter epidemiologic study of the Eastern Association for the Surgery of Trauma.” Journal of Trauma and Acute Care Surgery 75.1 (2013): 15-23. Knechtle, Stuart J., Andrew M. Davidoff, and Reed P. Rice. “Pneumatosis intestinalis. Surgical management and clinical outcome.” Annals of Surgery 212.2 (1990): 160.
    Type of Medium: Online Resource
    ISSN: 2059-8661
    Language: English
    Publisher: Cambridge University Press (CUP)
    Publication Date: 2019
    detail.hit.zdb_id: 2898186-8
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 8
    In: Canadian Journal of Gastroenterology and Hepatology, Hindawi Limited, Vol. 2021 ( 2021-12-11), p. 1-7
    Abstract: Background and Aims. Age cutoff is an important factor in deciding whether esophagogastroduodenoscopy (EGD) is necessary for patients presenting with upper gastrointestinal symptoms. However, the cutoff value is significantly different across populations. We aimed to determine the age cutoff for EGD that assures a low rate of missing upper gastrointestinal malignancy (UGIM) and to assess the yield of prompt EGD in Vietnamese patients presenting with upper gastrointestinal symptoms. Methods. All EGDs performed in outpatients during a 6-year period (2014–2019) at a tertiary hospital that provided an open-access endoscopy service were retrospectively reviewed. Repeat or surveillance EGDs were excluded. Different age cutoffs were evaluated in terms of their prediction of the absence of UGIM. The yield of endoscopy to detect one malignancy (YoE) was also calculated. Results. Of 472,744 outpatients presenting with upper gastrointestinal symptoms, there were 2198 (0.4%) patients with UGIM. The median age and male-to-female ratio of patients with UGIMs were 57.9 ± 12.5 years and 2.5 : 1, respectively. The YoEs in patients 〈 40, 40–60, and 〉 60 years of age were 〈 1, 1–10, and 〉 10 per 1000 EGDs, respectively. The age cutoffs of 30 years in females and 35 years in males could detect 98.2% (95% CI: 97.7%–98.8%) of UGIM cases with a YoE of about 1 per 1000 EGDs. Conclusions. The age cutoff for EGD in Vietnamese should be lower than that recommended by current international guidelines. The strategy of prompt EGD showed a low YoE, and its cost-effectiveness requires further investigation.
    Type of Medium: Online Resource
    ISSN: 2291-2797 , 2291-2789
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2021
    detail.hit.zdb_id: 2762184-4
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 9
    In: Biochemical and Biophysical Research Communications, Elsevier BV, Vol. 524, No. 2 ( 2020-04), p. 273-279
    Type of Medium: Online Resource
    ISSN: 0006-291X
    RVK:
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2020
    detail.hit.zdb_id: 1461396-7
    SSG: 12
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 10
    In: Immunology & Cell Biology, Wiley, Vol. 90, No. 4 ( 2012-04), p. 457-467
    Abstract: Recently, CD4 + T helper cells were shown to induce differentiation of human B cells into plasma cells by expressing interleukin (IL‐)21 and CD40 ligand (CD40L). In the present study we show, that in the absence of CD40L, CD4 + T cell‐derived IL‐21 induces differentiation of B cells into granzyme B (GzmB)‐secreting cytotoxic cells. Using fluorescence‐activated cell sorting (FACS) analysis, ELISpot and confocal microscopy, we demonstrate that CD4 + T cells, activated via their T‐cell receptor without co‐stimulation, can produce IL‐21, but do not express CD40L and rapidly induce GzmB in co‐cultured B cells in an IL‐21 receptor‐dependent manner. Of note, we confirmed these results with recombinant reagents, highlighting that CD40L suppresses IL‐21‐induced GzmB induction in B cells in a dose‐dependent manner. Surprisingly, although GzmB‐secreting B cells did not express perforin, they were able to transfer active GzmB to tumor cell lines, thereby effectively inducing apoptosis. In contrast, no cytotoxic effects were found when effector B cells were activated with IL‐2 instead of IL‐21 or when target cells were cultured with IL‐21 alone. Our findings suggest GzmB + cytotoxic B cells may have a role in early cellular immune responses including tumor immunosurveillance, before fully activated, antigen‐specific cytotoxic T cells are on the spot. CD40 ligand determines whether IL‐21 induces differentiation of B cells into plasma cells or into granzyme B‐secreting cytotoxic cells.
    Type of Medium: Online Resource
    ISSN: 0818-9641 , 1440-1711
    Language: English
    Publisher: Wiley
    Publication Date: 2012
    detail.hit.zdb_id: 2011707-3
    SSG: 12
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...