Blood Tests Predict Safe Survival of Elderly with Resistant GI Cancers

2021 ◽  
Vol 12 (8) ◽  
pp. S51
Author(s):  
H. Bruckner ◽  
A. Hirschfeld ◽  
R. DeJager ◽  
F. Bassali ◽  
D. Gurell ◽  
...  
Keyword(s):  
Author(s):  
C. W. Mehard ◽  
W. L. Epstein

The underlying cause of a disease may not he readily apparent but may have a long history in development. We report one such case which was diagnosed with the aid of the analytical electron microscope.The patient, a 48 yr. old white female, developed a tender nodule on the sole of her foot in December, 1981. Subsequently additional lesions developed on the same foot resulting in deep pain and tenderness. Superficial lesions also extended up to the knee on both legs. No abnormalities were revealed in blood tests or chest X-rays.


2020 ◽  
Vol 9 (2) ◽  
pp. 96-102
Author(s):  
Zerrin Gamsizkan ◽  
Mehmet Ali Sungur ◽  
Yasemin Çayır

Aim: The aim of the study is to determine the factors that may affect the demands of patients who come with the request to have a blood test without any chronic disease or a planned examination check. Methods: The data of this descriptive, cross-sectional study, were collected with a questionnaire that was prepared to examine the opinions of the patients who claim to have a blood test by coming to the family health center without any complaints. Patients over 18 years of age, who did not have any chronic disease and had no scheduled examination appointments were included in the study. Results: A total of 278 patients who wanted to have a blood test within the 6-months period were included in the study. Female patients who wanted to have a blood test were significantly more than male patients. When we look at the causes of patients who wanted to have a blood test; 61.2% (n=170) patients stated that they are concerned about their health and 6.1% (n=17) stated that they were affected by media warnings. There was no significant relationship between the frequency of blood test requests of patients and their age, gender, education, and general health status. Conclusion: Patients with high expectations and anxiety may be more willing to perform blood tests at inappropriate intervals. Family physicians, whose primary role is preventive medicine, have consultancy and information duties in order to protect their patients from the risk of over-examination and diagnosis. Keywords: blood tests, patient, screening, routine diagnostic tests


2021 ◽  
Vol 15 (4) ◽  
pp. 041303
Author(s):  
Hao Yuan ◽  
Ping-Yeh Chiu ◽  
Chien-Fu Chen
Keyword(s):  

2021 ◽  
Vol 10 (Supplement_1) ◽  
Author(s):  
VV Ryabov ◽  
D Vorobyeva ◽  
YUG Lugacheva ◽  
IV Kulagina

Abstract Funding Acknowledgements Type of funding sources: Foundation. Main funding source(s): The reported study was funded by RFBR, project number №19-315-90106 Aim To compare indicators of blood prothrombotic activity in patients with myocardial infarction with and without coronary arteries obstruction Material and methods. The study included 40 patients with AMI (19 patients in the main group and 21 patients in the control group). Three patients (15.7%) with acute myocarditis were excluded from the analysis. Hemostasiological and hematological blood tests were studied upon admission, on the 2nd, 4th, 7th days from hospitalization. Blood samples for protein C, antithrombin, von Willebrand factor (WF), plasminogen, homocysteine were performed on 4th ± 1 day from hospitalization. To determine the IgG / IgM antibodies to cardiolipin and β2-glycoprotein for the diagnosis of APS, the ORGENTEC Anti-β2-Glycoprotein I IgG / IgM ELISA enzyme immunoassay was used. Blood tests for lupus anticoagulant were performed using an ACL-Top 700 analyzer (Werfen) with HemosIL SynthASil dRVVT screen reagents / dRVVT confirm  and with a SCT screen / SCT confirm quartz activator. Results In patients with MINOCA a statistically higher level of homocysteine (p = 0.03) and a lower level of plasminogen (p = 0.007) are determined. Protein C, antithrombin, WF the presence of lupus anticoagulant, antibodies to cardiolipin and β2-glycoprotein no differences between the groups were detected, p >0.05. MINOCA patients have a statistically higher platelet level on the 2nd and 4th day of AMI (p = 0.046 and p = 0.01 ) however the level of hemoglobin and hematocrit was statistically lower on the 4th day of AMI, (p = 0.008). In the main group, a moderate correlation was found between protein C and antithrombin (r = 0.65, p = 0.0001), antithrombin and von Willebrand factor (r = 0.54, p = 0.0001), between protein C and platelet level by 4th day (r = - 0.49, p = 0.04). In MINOCA patients a moderate negative correlation was found between homocysteine and plasminogen (r = -0.69, p = 0.002). In the control group, a high correlation was found between protein C and antithrombin (r = 0.96, p = 0.0001), a moderate correlation between protein C and plasminogen (r = 0.47, p = 0.03). In addition, a relationship was revealed between the presence of thrombosis according to ICAG data and the level of ejection fraction (r = 0.46, p = 0.04) in the control group, as well as between the presence of thrombosis and the level of fibrinogen upon admission (r = 0.55, p = 0.008). Conclusions Patients with MINOCA have a higher level of homocysteine and a lower level of plasminogen. For such indicators as protein C, antithrombin III, WF the presence of antibodies on the APS is not defined differences between groups. According to laboratory data patients with MINOCA showed higher levels of platelets but lower levels of hemoglobin and hematocrit in the early post-infarction period.


2020 ◽  
Author(s):  
Thomas Tschoellitsch ◽  
Martin Dünser ◽  
Carl Böck ◽  
Karin Schwarzbauer ◽  
Jens Meier

Abstract Objective The diagnosis of COVID-19 is based on the detection of SARS-CoV-2 in respiratory secretions, blood, or stool. Currently, reverse transcription polymerase chain reaction (RT-PCR) is the most commonly used method to test for SARS-CoV-2. Methods In this retrospective cohort analysis, we evaluated whether machine learning could exclude SARS-CoV-2 infection using routinely available laboratory values. A Random Forests algorithm with 1353 unique features was trained to predict the RT-PCR results. Results Out of 12,848 patients undergoing SARS-CoV-2 testing, routine blood tests were simultaneously performed in 1528 patients. The machine learning model could predict SARS-CoV-2 test results with an accuracy of 86% and an area under the receiver operating characteristic curve of 0.90. Conclusion Machine learning methods can reliably predict a negative SARS-CoV-2 RT-PCR test result using standard blood tests.


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