A multianalyte algorithm PCR-based gene blood test compared to single analyte ELISA-based blood tests for neuroendocrine tumor detection.

2014 ◽  
Vol 32 (15_suppl) ◽  
pp. e15168-e15168
Author(s):  
Irvin Mark Modlin ◽  
Daniele Alaimo ◽  
Stephen Callahan ◽  
Nancy S. Teixeira ◽  
Lisa Bodei ◽  
...  
Keyword(s):  
Neuroendocrine Tumor ◽  
Blood Test ◽  
Tumor Detection ◽  
Blood Tests

Blood Analysis Requests of Patients’ and Clinical Reflections in Primary Care

2020 ◽  
Vol 9 (2) ◽  
pp. 96-102
Author(s):  
Zerrin Gamsizkan ◽  
Mehmet Ali Sungur ◽  
Yasemin Çayır
Keyword(s):  
Chronic Disease ◽  
Blood Test ◽  
Family Health ◽  
Cross Sectional Study ◽  
Blood Analysis ◽  
Primary Role ◽  
Cross Sectional ◽  
High Expectations ◽  
Blood Tests ◽  
Study Results

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

scholarly journals 236 Novel Guidelines to Avoid Routine Blood Tests After Robotic Assisted Radical Prostatectomy (RARP)

2021 ◽  
Vol 108 (Supplement_2) ◽  
Author(s):  
A Nathan ◽  
N Hanna ◽  
A Rashid ◽  
S Patel ◽  
Y Phuah ◽  
...  
Keyword(s):  
Blood Test ◽  
Open Surgery ◽  
Clinical Judgement ◽  
Robotic Assisted ◽  
Blood Tests ◽  
Routine Blood ◽  
Operative Complications ◽  
Robotic Assisted Radical Prostatectomy ◽  
The Uk ◽  
Post Operative Complications

Abstract Introduction Patients undergoing RARP commonly require routine post-operative blood tests. This practice dates from an era of open surgery, with increased blood loss and complications. We aim to improve specificity of blood test requests with novel guidelines. Method 1039 consecutive RARP patients at two tertiary urology centres in the UK were audited. Novel guidelines constructed based on risk stratified evidence from the initial audit were used to prospectively audit 133 patients. Results 16% had clinical concerns post-operatively. 1% and 4% had an intra- and post-operative complication. Intra- or post-operative clinical judgement flagged post-operative complications in 99.9%. 80% had routine blood tests with no clinical concerns. 6% had delayed discharge due to delayed processing of blood tests. 0.9% received a peri-operative transfusion. Re-Audit Novel guidelines reduced the number of blood tests requested from 100% to 36%. Specificity in diagnosing a complication improved from 0% to 67%. Discharge delays reduced from 6% to 0% and no post-operative complications were missed (sensitivity 100%). Conclusions Routine blood tests, without an indication, did not flag any additional post-operative complications. Blood transfusion is rare for RARP. Novel guidelines to request post-operative blood tests will reduce costs and discharge delays whilst maintaining appropriate patient safety and care.

scholarly journals The use of routine blood tests to assist the diagnosis of COVID-19 in symptomatic hospitalized patients

2021 ◽  
pp. 000456322199907
Author(s):  
IT Parsons ◽  
AT Parsons ◽  
E Balme ◽  
G Hazell ◽  
R Gifford ◽  
...  
Keyword(s):  
Cell Count ◽  
Retrospective Review ◽  
Blood Test ◽  
Patient Flow ◽  
White Cell Count ◽  
Area Under The Curve ◽  
White Cell ◽  
Test Results ◽  
Rt Pcr ◽  
Blood Tests

Introduction Specific patterns of blood test results are associated with COVID-19 infection. The aim of this study was to identify which blood tests could be used to assist in diagnosing COVID-19. Method A retrospective review was performed on consecutive patients referred to hospital with a clinical suspicion of COVID-19 over a period of four weeks. The patient’s clinical presentation and severe acute respiratory syndrome coronavirus 2 reverse-transcription polymerase chain reaction (SARS-CoV-2 RT-PCR) were recorded. The patients were divided by diagnosis into COVID (COVID-19 infection) or CONTROL (an alternate diagnosis). A retrospective review of consecutive patients over a further two-week period was used for the purposes of validation. Results Overall, 399 patients (53% COVID, 47% CONTROL) were analysed. White cell count, neutrophils and lymphocytes were significantly lower, while lactate dehydrogenase and ferritin were significantly higher, in the COVID group in comparison to CONTROL. Combining the white cell count, lymphocytes and ferritin results into a COVID Combined Blood Test (CCBT) had an area under the curve of 0.79. Using a threshold CCBT of –0.8 resulted in a sensitivity of 0.85 and a specificity of 0.63. Analysing this against a further retrospective review of 181 suspected COVID-19 patients, using the same CCBT threshold, resulted in a sensitivity of 0.73 and a specificity of 0.75. The sensitivity was comparable to the SARS-CoV-2 RT PCR. Discussion Mathematically combining the blood tests has the potential to assist clinical acumen allowing for rapid streaming and more accurate patient flow pending definitive diagnosis. This may be of particular use in low-resource settings.

Predicting abnormal laboratory blood test results in the intensive care unit using novel features based on information theory and historical conditional probability (Preprint)

2021 ◽  
Author(s):  
Camilo E. Valderrama ◽  
Daniel J. Niven ◽  
Henry T. Stelfox ◽  
Joon Lee
Keyword(s):  
Machine Learning ◽  
Intensive Care ◽  
Conditional Probability ◽  
Blood Test ◽  
Laboratory Tests ◽  
Conditional Entropy ◽  
Admission Diagnosis ◽  
Test Results ◽  
Abnormal Laboratory ◽  
Blood Tests

BACKGROUND Redundancy in laboratory blood tests is common in intensive care units (ICU), affecting patients' health and increasing healthcare expenses. Medical communities have made recommendations to order laboratory tests more judiciously. Wise selection can rely on modern data-driven approaches that have been shown to help identify redundant laboratory blood tests in ICUs. However, most of these works have been developed for highly selected clinical conditions such as gastrointestinal bleeding. Moreover, features based on conditional entropy and conditional probability distribution have not been used to inform the need for performing a new test. OBJECTIVE We aimed to address the limitations of previous works by adapting conditional entropy and conditional probability to extract features to predict abnormal laboratory blood test results. METHODS We used an ICU dataset collected across Alberta, Canada which included 55,689 ICU admissions from 48,672 patients with different diagnoses. We investigated conditional entropy and conditional probability-based features by comparing the performances of two machine learning approaches to predict normal and abnormal results for 18 blood laboratory tests. Approach 1 used patients' vitals, age, sex, admission diagnosis, and other laboratory blood test results as features. Approach 2 used the same features plus the new conditional entropy and conditional probability-based features. RESULTS Across the 18 blood laboratory tests, both Approach 1 and Approach 2 achieved a median F1-score, AUC, precision-recall AUC, and Gmean above 80%. We found that the inclusion of the new features statistically significantly improved the capacity to predict abnormal laboratory blood test results in between ten and fifteen laboratory blood tests depending on the machine learning model. CONCLUSIONS Our novel approach with promising prediction results can help reduce over-testing in ICUs, as well as risks for patients and healthcare systems. CLINICALTRIAL N/A

scholarly journals Autism Spectrum Disorders — in Search of Mechanistic Biomarkers

2019 ◽  
Vol 17 (1) ◽  
pp. 15-23
Author(s):  
N. Rabbani ◽  
P.J. Thornalley
Keyword(s):  
Autism Spectrum Disorders ◽  
Blood Test ◽  
Early Stage ◽  
Clinical Chemistry ◽  
Scientific Basis ◽  
Autism Spectrum ◽  
Blood Tests ◽  
Recent Emergence ◽  
Spectrum Disorders ◽  
Neuropsychiatric Conditions

Autism spectrum disorders are a group of neuropsychiatric conditions of increasing prevalence. They are initially detected in early development of children. Diagnosis is currently made on the basis of clinical behaviour and cognition. Improvements in accuracy, timeliness and access to diagnosis to help manage the condition is high on the agenda of the autistic communities. A blood test may help for early-stage detection of autism spectrum disorders to focus support where required — particularly when symptoms are most challenging. This article discusses briefly the scientific basis of diagnosis of autism spectrum disorders and recent emergence of candidate blood tests for autism. We conclude that further validation and improvements in understanding of autism spectrum disorders are required to provide the scientific basis and classifier characteristics for accurate and reliable diagnosis by clinical chemistry blood test.

scholarly journals Evaluation of laboratory research data in patients with multiple sclerosis in the aspect of comboridity

2019 ◽  
pp. 75-82
Author(s):  
G. Chupryna
Keyword(s):  
Multiple Sclerosis ◽  
Cerebrospinal Fluid ◽  
Blood Test ◽  
Laboratory Data ◽  
Well Being ◽  
The Body ◽  
Blood Cholesterol ◽  
Laboratory Research ◽  
Blood Tests ◽  
Study Laboratory

The objective of the work – to study laboratory data in patients with multiple sclerosis in order to clarify the nature of the influence of comorbid pathology on the level of dysfunction of biochemical processes of the body. We examined 216 patients with multiple sclerosis with various forms of course. Patients of the general sample were divided into two groups: І (n = 109) – without concomitant diseases and ІІ (n = 107) – with the presence of concomitant diseases. The results of general clinical tests of blood and urine, a biochemical blood test, a study of cerebrospinal fluid, the immune status of the blood, and the level of autoantibodies to brain antigens were evaluated. General clinical blood and urine tests, a biochemical blood test were performed on all 216 patients with multiple sclerosis from the study group. The study of cerebrospinal fluid (macroscopic, microscopic, polymerase chain reaction) and immunological blood tests (study of indicators of cellular and humoral immunity, the level of autoantibodies to brain antigens) were performed in 42 patients with multiple sclerosis of both groups. As a result, it was found that significant differences between groups І and ІІ exist due to an increase in platelet counts in patients of group ІІ (P < 0.05) and AsAT concentration (P < 0.05), an increase in creatinine concentration (P < 0.05), an increase in blood cholesterol (P < 0.05). Such differences in the indicators of general clinical and biochemical blood tests are, in our opinion, due to the presence of cardiovascular and gastroenterological comorbidity in patients with multiple sclerosis and correlate with a decrease in their overall well-being. As a result of studying the general analysis of urine in 84.7 % of patients of the general sample, there were general inflammatory signs, which were more pronounced in several indicators in the ІІ group of patients, clinically correlated with the severity of pelvic disorders. Systemic and deeper changes in the level of NK cells, the main protein of myelin, the total human brain antigen, as well as the immunoregulatory cycle in patients with multiple sclerosis with comorbid pathology were also established.

scholarly journals Clinical Features of Early Stage COVID-19 in a Primary Care Setting

2021 ◽  
Vol 8 ◽  
Author(s):  
Yohei Kawatani ◽  
Kei Nakayama ◽  
Atsushi Sawamura ◽  
Koichi Fujikawa ◽  
Motoki Nagai ◽  
...  
Keyword(s):  
Primary Care ◽  
Blood Cell ◽  
White Blood Cell ◽  
Blood Test ◽  
Early Stage ◽  
Test Results ◽  
Negative Group ◽  
Initial Screening ◽  
Positive Group ◽  
Blood Tests

Background: The coronavirus disease 2019 (COVID-19) pandemic remains a global healthcare crisis. Nevertheless, the majority of COVID-19 cases involve mild to moderate symptoms in the early stages. The lack of information relating to these cases necessitates further investigation.Methods: Patients visiting the outpatient clinic at the Kamagaya General Hospital were screened by interview and body temperature check. After initial screening, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection was suspected in 481 patients who then underwent blood tests and the loop-mediated isothermal amplification (LAMP) test for SARS-CoV-2. Clinical characteristics between positive and negative SARS-CoV-2 groups were compared. Further, the novel predictive value of routine blood test results for SARS-CoV-2 infection was evaluated using ROC analysis.Results: A total of 15,560 patients visited our hospital during the study period. After exclusion and initial screening by interview, 481 patients underwent the LAMP test and routine blood tests. Of these patients, 69 (14.3%) were positive for SARS-CoV-2 and diagnosed with COVID-19 (positive group), and 412 (85.7%) were negative (negative group). The median period between the first onset of symptoms and visit to our hospital was 3.4 and 2.9 days in the negative and positive groups, respectively. Cough (p = 0.014), rhinorrhea (p = 0.039), and taste disorders (p &lt; 0.001) were significantly more common in the positive group, while gastrointestinal symptoms in the negative group (p = 0.043). The white blood cell count (p &lt; 0.001), neutrophil count (p &lt; 0.001), and percentage of neutrophils (p &lt; 0.001) were higher in the negative group. The percentage of monocytes (p &lt; 0.001) and the levels of ferritin (p &lt; 0.001) were higher in the positive group. As per the predictive values for COVID-19 using blood tests, the values for the area under the curve for the neutrophil-to-monocyte ratio (NMR), white blood cell-to-hemoglobin ratio (WHR), and the product of the two (NMWH) were 0.857, 0.837, and 0.887, respectively.Conclusion: Symptoms in early stage COVID-19 patients were similar to those in previous reports. Some blood test results were not consistent with previous reports. NMR, WHR, and NMWH are novel diagnostic scores in early-stage mild-symptom COVID-19 patients in primary care settings.

Wassermann Before Wedding Bells: Premarital Examination Laws in the United States, 1937–1950

2019 ◽  
Author(s):  
Deborah B Doroshow
Keyword(s):  
Public Health ◽  
Blood Test ◽  
Communicable Disease ◽  
Public Health Intervention ◽  
Public Health Problem ◽  
The United States ◽  
Men And Women ◽  
Blood Tests ◽  
Private Lives ◽  
Definition Of

Abstract In the late 1930s, states began to pass laws requiring men and women applying for marriage licences to demonstrate proof of a blood test showing that they did not harbour communicable syphilis. Advocates of the laws positioned marriage as a public health checkpoint to identify new cases of syphilis as part of a broader effort to approach the disease as a public health problem, rather than a moral one. Although the laws appeared to have broad popular support, in reality they were a failed public health intervention. Couples rushed to the altar before laws went into effect and border-hopped to marry in states without blood test laws. The blood tests used to detect syphilis were difficult to interpret and physicians could not agree on a standard definition of communicable disease. But for over 30 years, premarital examination laws represented a tangible government presence in the private lives of most Americans.

scholarly journals Diagnosing brain tumours by routine blood tests using machine learning

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Simon Podnar ◽  
Matjaž Kukar ◽  
Gregor Gunčar ◽  
Mateja Notar ◽  
Nina Gošnjak ◽  
...  
Keyword(s):  
Machine Learning ◽  
Brain Tumour ◽  
Brain Tumours ◽  
Blood Test ◽  
Neurological Diseases ◽  
Blood Tests ◽  
Routine Blood ◽  
Routine Blood Test ◽  
Tumour Diagnosis ◽  
Neurological Patients

Abstract Routine blood test results are assumed to contain much more information than is usually recognised even by the most experienced clinicians. Using routine blood tests from 15,176 neurological patients we built a machine learning predictive model for the diagnosis of brain tumours. We validated the model by retrospective analysis of 68 consecutive brain tumour and 215 control patients presenting to the neurological emergency service. Only patients with head imaging and routine blood test data were included in the validation sample. The sensitivity and specificity of the adapted tumour model in the validation group were 96% and 74%, respectively. Our data demonstrate the feasibility of brain tumour diagnosis from routine blood tests using machine learning. The reported diagnostic accuracy is comparable and possibly complementary to that of imaging studies. The presented machine learning approach opens a completely new avenue in the diagnosis of these grave neurological diseases and demonstrates the utility of valuable information obtained from routine blood tests.

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