scholarly journals Predictive Value of Combined Preoperative Carcinoembryonic Antigen Level and Ki-67 Index in Patients With Gastric Neuroendocrine Carcinoma After Radical Surgery

2021 ◽  
Vol 11 ◽  
Author(s):  
Jianwei Xie ◽  
YaJun Zhao ◽  
Yanbing Zhou ◽  
Qingliang He ◽  
Hankun Hao ◽  
...  
Keyword(s):  
Carcinoembryonic Antigen ◽  
Neuroendocrine Carcinoma ◽  
Predictive Value ◽  
Radical Surgery ◽  
Area Under The Curve ◽  
Curative Surgery ◽  
Ki 67 ◽  
Index Group ◽  
Gastric Neuroendocrine Carcinoma

PrécisWe present a valid and reproducible nomogram that combined the TNM stage as well as the Ki-67 index and carcinoembryonic antigen levels; the nomogram may be an indispensable tool to help predict individualized risks of death and help clinicians manage patients with gastric neuroendocrine carcinoma.BackgroundTo analyze the long-term outcomes of patients with grade 3 GNEC who underwent curative surgery and investigated whether the combination of carcinoembryonic antigen (CEA) levels and Ki-67 index can predict the prognosis of patients with gastric neuroendocrine carcinoma (GNEC) and constructed a nomogram to predict patient survival.MethodsIn the training cohort, data were collected from 405 patients with GNEC after radical surgery at seven Chinese centers. A nomogram was constructed to predict long-term prognosis. Data for the validation cohort were collected from 305 patients.ResultsThe 5-year overall survival (OS) was worse in the high CEA group than in the normal CEA group (40.5% vs. 55.2%, p = 0.013). The 5-year OS was significantly worse in the high Ki-67 index group than in the low Ki-67 index group (47.9% vs. 57.2%, p = 0.012). Accordingly, we divided the whole cohort into a KC(-) group (low Ki-67 index and normal CEA) and KC(+) group (high Ki-67 index and/or high CEA). The KC(+) group had a worse prognosis than the KC(-) group (64.6% vs. 46.8%, p < 0.001). KC(+) and the AJCC 8th stage were independent factors for OS. Then, we combined KC status and the AJCC 8th stage to establish a nomogram; the C-index and area under the curve (AUC) were higher for the nomogram than for the AJCC 8th stage (C-index: 0.660 vs. 0.635, p = 0.005; AUC: 0.700 vs. 0.675, p = 0.020). The calibration curve verified that the nomogram had a good predictive value, with similar findings in the validation groups.ConclusionsThe nomogram based on KC status and the AJCC 8th stage predicted the prognosis of patients with GNEC well.

scholarly journals BNP and Admission Glucose as In-Hospital Mortality Predictors in Non-ST Elevation Myocardial Infarction

2012 ◽  
Vol 2012 ◽  
pp. 1-7 ◽  
Author(s):  
Julio Yoshio Takada ◽  
Rogério Bicudo Ramos ◽  
Solange Desiree Avakian ◽  
Soane Mota dos Santos ◽  
José Antonio Franchini Ramires ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Hospital Mortality ◽  
Predictive Value ◽  
Area Under The Curve ◽  
St Elevation Myocardial Infarction ◽  
Hospital Death ◽  
Coronary Syndromes ◽  
St Elevation ◽  
Independent Risk Factors

Objectives. Admission hyperglycemia and B-type natriuretic peptide (BNP) are associated with mortality in acute coronary syndromes, but no study compares their prediction in-hospital death.Methods. Patients with non-ST-elevation myocardial infarction (NSTEMI), in-hospital mortality and two-year mortality or readmission were compared for area under the curve (AUC), sensitivity (SEN), specificity (SPE), positive predictive value (PPV), negative predictive value (NPV), and accuracy (ACC) of glycemia and BNP.Results. Respectively, AUC, SEN, SPE, PPV, NPV, and ACC for prediction of in-hospital mortality were 0.815, 71.4%, 84.3%, 26.3%, 97.4%, and 83.3% for glycemia = 200 mg/dL and 0.748, 71.4%, 68.5%, 15.2%, 96.8% and 68.7% for BNP = 300 pg/mL. AUC of glycemia was similar to BNP (P=0.411). In multivariate analysis we found glycemia ≥200mg/dL related to in-hospital death (P=0.004). No difference was found in two-year mortality or readmission in BNP or hyperglycemic subgroups.Conclusion. Hyperglycemia was an independent risk factor for in-hospital mortality in NSTEMI and had a good ROC curve level. Hyperglycemia and BNP, although poor in-hospital predictors of unfavorable events, were independent risk factors for death or length of stay >10 days. No relation was found between hyperglycemia or BNP and long-term events.

scholarly journals A Novel Case of Functional Gastric Neuroendocrine Carcinoma Occurred after Endoscopic Submucosal Dissection

2013 ◽  
Vol 2013 ◽  
pp. 1-5
Author(s):  
Yoshiaki Shibata ◽  
Yuji Ito ◽  
Hiroko Fujita ◽  
Yume Okada ◽  
Toshihiko Nagai ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Liver Metastases ◽  
Endoscopic Submucosal Dissection ◽  
Neuroendocrine Carcinoma ◽  
Islet Cell Tumor ◽  
Severe Hypoglycemia ◽  
Ki 67 ◽  
Submucosal Dissection ◽  
Hypoglycemic Attack ◽  
Gastric Neuroendocrine Carcinoma

In Japan, endoscopic submucosal dissection (ESD) is becoming a standard treatment for intramucosal differentiated gastric cancer. Although ESD is associated with a high cure rate for patients with early gastric cancer, tumors may recur, albeit rarely. We performed ESD on an 80-year-old man with a small depressed type of gastric cancer of the posterior wall of the cardia, found to be locally invasive on histology. Thirty months later, local recurrence and multiple liver metastases were detected, accompanied by frequent severe hypoglycemia. Despite chemotherapy, the patient died 6 months after relapse. On autopsy, the recurrent gastric lesion and liver metastases were examined immunohistochemically. Several characteristic tumor cells were positive for chromogranin A, cluster of differentiation (CD) 56, Ki-67, and insulin-like growth factor (IGF)-II. Western blot analysis of the patient’s serum obtained during a hypoglycemic attack showed the high molecular weight form of IGF-II or “big” IGF-II. The patient was diagnosed with non-islet cell tumor hypoglycemia (NICTH), with “big” IGF-II being produced by the gastric neuroendocrine carcinoma. This is the novel case of a functional gastric neuroendocrine carcinoma that occurred after ESD and induced a hypoglycemic attack associated with NICTH.

Gastric neuroendocrine carcinoma after long-term use of proton pump inhibitor

2011 ◽  
Vol 47 (1) ◽  
pp. 64-67 ◽  
Author(s):  
Constantin S Jianu ◽  
Ove J Lange ◽  
Trond Viset ◽  
Gunnar Qvigstad ◽  
Tom C Martinsen ◽  
...  
Keyword(s):  
Proton Pump Inhibitor ◽  
Neuroendocrine Carcinoma ◽  
Proton Pump ◽  
Gastric Neuroendocrine Carcinoma

Gastric neuroendocrine carcinoma: Clinicopathologic review and immunohistochemical study of E-cadherin and Ki-67 as prognostic markers

2007 ◽  
Vol 95 (2) ◽  
pp. 110-117 ◽  
Author(s):  
Yoon-Jung Boo ◽  
Sung-Soo Park ◽  
Jong-Han Kim ◽  
Young-Jae Mok ◽  
Seong-Joo Kim ◽  
...  
Keyword(s):  
Neuroendocrine Carcinoma ◽  
Prognostic Markers ◽  
Immunohistochemical Study ◽  
Ki 67 ◽  
Gastric Neuroendocrine Carcinoma ◽  
E Cadherin

scholarly journals Predicting Long-Term Mortality in TAVI Patients Using Machine Learning Techniques

2021 ◽  
Vol 8 (4) ◽  
pp. 44
Author(s):  
Marco Penso ◽  
Mauro Pepi ◽  
Laura Fusini ◽  
Manuela Muratori ◽  
Claudia Cefalù ◽  
...  
Keyword(s):  
Machine Learning ◽  
Aortic Valve ◽  
Predictive Value ◽  
Area Under The Curve ◽  
Machine Learning Techniques ◽  
Clinical Prognosis ◽  
Transcatheter Aortic Valve ◽  
Risk Patients ◽  
Long Term Mortality

Background: Whereas transcatheter aortic valve implantation (TAVI) has become the gold standard for aortic valve stenosis treatment in high-risk patients, it has recently been extended to include intermediate risk patients. However, the mortality rate at 5 years is still elevated. The aim of the present study was to develop a novel machine learning (ML) approach able to identify the best predictors of 5-year mortality after TAVI among several clinical and echocardiographic variables, which may improve the long-term prognosis. Methods: We retrospectively enrolled 471 patients undergoing TAVI. More than 80 pre-TAVI variables were collected and analyzed through different feature selection processes, which allowed for the identification of several variables with the highest predictive value of mortality. Different ML models were compared. Results: Multilayer perceptron resulted in the best performance in predicting mortality at 5 years after TAVI, with an area under the curve, positive predictive value, and sensitivity of 0.79, 0.73, and 0.71, respectively. Conclusions: We presented an ML approach for the assessment of risk factors for long-term mortality after TAVI to improve clinical prognosis. Fourteen potential predictors were identified with the organic mitral regurgitation (myxomatous or calcific degeneration of the leaflets and/or annulus) which showed the highest impact on 5 years mortality.

Predictive value of sleep EEG markers in long-term course of depression

2004 ◽  
Vol 36 (05) ◽  
Author(s):  
M Hatzinger ◽  
S Brand ◽  
U Hemmeter ◽  
B Annen ◽  
E Holsboer-Trachsler
Keyword(s):  
Predictive Value ◽  
Sleep Eeg ◽  
Course Of Depression

Evaluation of the clot burden score (cbs) for acute ischemic stroke (ais) in intent-to-treat patients.

2019 ◽  
Vol 1 (1) ◽  
pp. 11-15 ◽  
Author(s):  
Sarah Yaziz ◽  
Ahmad Sobri Muda ◽  
Wan Asyraf Wan Zaidi ◽  
Nik Azuan Nik Ismail
Keyword(s):  
Ischemic Stroke ◽  
Clinical Outcome ◽  
Acute Ischemic Stroke ◽  
Predictive Value ◽  
Area Under The Curve ◽  
Rank Correlation ◽  
Treatment Decision ◽  
Roc Curves ◽  
Significant Negative Correlation ◽  
Clot Burden

Background : The clot burden score (CBS) is a scoring system used in acute ischemic stroke (AIS) to predict patient outcome and guide treatment decision. However, CBS is not routinely practiced in many institutions. This study aimed to investigate the feasibility of CBS as a relevant predictor of good clinical outcome in AIS cases. Methods:  A retrospective data collection and review of AIS patients in a teaching hospital was done from June 2010 until June 2015. Patients were selected following the inclusion and exclusion criteria. These patients were followed up after 90 days of discharge. The Modified Rankin scale (mRS) was used to assess their outcome (functional status). Linear regression Spearman Rank correlation was performed between the CBS and mRS. The quality performance of the correlations was evaluated using Receiver operating characteristic (ROC) curves. Results: A total of 89 patients with AIS were analysed, 67.4% (n=60) male and 32.6% (n=29) female. Twenty-nine (29) patients (33.7%) had a CBS ?6, 6 patients (6.7%) had CBS <6, while 53 patients (59.6%) were deemed clot free. Ninety (90) days post insult, clinical assessment showed that 57 (67.6%) patients were functionally independent, 27 (30.3%) patients functionally dependent, and 5 (5.6%) patients were deceased. Data analysis reported a significant negative correlation (r= -0.611, p<0.001). ROC curves analysis showed an area under the curve of 0.81 at the cut-off point of 6.5. This showed that a CBS of more than 6 predicted a good mRS clinical outcome in AIS patients; with sensitivity of 98.2%, specificity of 53.1%, positive predictive value (PPV) of 76%, and negative predictive value (NPV) of 21%. Conclusion: CBS is a useful additional variable for the management of AIS cases, and should be incorporated into the routine radiological reporting for acute ischemic stroke (AIS) cases.

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