ASM Recommends Payment Levels for New Clinical Laboratory Tests

2007 ◽  
Vol 2 (10) ◽  
pp. 481-481
Keyword(s):  
Laboratory Tests ◽  
Clinical Laboratory

CAT SCRATCH SYNDROME

PEDIATRICS ◽  
1952 ◽  
Vol 10 (3) ◽  
pp. 311-318
Author(s):  
WILLIAM J. WATERS ◽  
SEYMOUR S. KALTER ◽  
JOHN T. PRIOR
Keyword(s):  
Skin Test ◽  
Laboratory Tests ◽  
Complement Fixation Test ◽  
Complement Fixation ◽  
Clinical Laboratory ◽  
Clinical Course ◽  
Diagnostic Value ◽  
Clinical Findings ◽  
Pathologic Findings ◽  
History Of

The clinical, laboratory and pathologic findings of a series of cases of cat scratch syndrome have been reviewed. In spite of a variable clinical course, certain features associated with a selected group of laboratory tests appear to be constant enough to be of diagnostic value. A history of contact with a cat and/or scratch which is usually associated with a peripheral skin lesion, lack of lymphangitis, presence of regional lymphadenopathy with tenderness to palpation are the most constant clinical findings. Fever, so frequently emphasized as a characteristic clinical sign, may be extremely variable in type and duration or entirely absent. A skin test with cat scratch antigen has been positive in all cases. Lacking this antigen, a negative Frei skin test in conjunction with a positive complement fixation test (Lygranum C. F.) is suggestive evidence for the diagnosis. With positive evidence from the above data, biopsy of an affected gland with its relatively nonspecific pathologic picture is not considered essential for the establishment of the diagnosis of cat scratch syndrome.

scholarly journals Effect of Bromelain on Clinical Laboratory Tests after Oral Administration

1971 ◽  
Vol 12 (6) ◽  
pp. 517-527
Author(s):  
R.M. HEINICKE ◽  
T. ITO ◽  
L. MCCARTHY ◽  
M. YOKOYAMA
Keyword(s):  
Oral Administration ◽  
Laboratory Tests ◽  
Clinical Laboratory

scholarly journals Comparing Ethnicity-Specific Reference Intervals for Clinical Laboratory Tests from EHR Data

2018 ◽  
Vol 3 (3) ◽  
pp. 366-377 ◽  
Author(s):  
Nadav Rappoport ◽  
Hyojung Paik ◽  
Boris Oskotsky ◽  
Ruth Tor ◽  
Elad Ziv ◽  
...  
Keyword(s):  
Race And Ethnicity ◽  
Laboratory Tests ◽  
Clinical Laboratory ◽  
Local Population ◽  
Reference Intervals ◽  
Medical Decision ◽  
Specific Reference ◽  
Healthy Individuals ◽  
Electronic Health Record Data ◽  
Novel Approach

Abstract Background The results of clinical laboratory tests are an essential component of medical decision-making. To guide interpretation, test results are returned with reference intervals defined by the range in which the central 95% of values occur in healthy individuals. Clinical laboratories often set their own reference intervals to accommodate variation in local population and instrumentation. For some tests, reference intervals change as a function of sex, age, and self-identified race and ethnicity. Methods In this work, we develop a novel approach, which leverages electronic health record data, to identify healthy individuals and tests for differences in laboratory test values between populations. Results We found that the distributions of >50% of laboratory tests with currently fixed reference intervals differ among self-identified racial and ethnic groups (SIREs) in healthy individuals. Conclusions Our results confirm the known SIRE-specific differences in creatinine and suggest that more research needs to be done to determine the clinical implications of using one-size-fits-all reference intervals for other tests with SIRE-specific distributions.

scholarly journals Clinical Laboratory Tests in Community Health

1979 ◽  
Vol 1 (3) ◽  
pp. 377-382
Author(s):  
Hiroshi EGAWA ◽  
Koichi YUSU ◽  
Fumio FUNATANI
Keyword(s):  
Community Health ◽  
Laboratory Tests ◽  
Clinical Laboratory

scholarly journals The epidemiology and influence of osteoarthritis on clinical, laboratory and ultrasound parameters of patients with early rheumatoid arthritis

2019 ◽  
Vol 2 (1) ◽  
pp. 41-47
Author(s):  
Teodora Serban ◽  
Iulia Satulu ◽  
Ioana Cretu ◽  
Oana Vutcanu ◽  
Mihaela Milicescu ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Disease Activity ◽  
Laboratory Tests ◽  
Clinical Laboratory ◽  
Early Arthritis ◽  
Symptom Duration ◽  
Knee Oa ◽  
The Mean ◽  
Clear Predominance ◽  
Ultrasound Parameters

AbstractBackground: Osteoarthritis (OA) and rheumatoid arthritis (RA) can overlap and the presence of OA can interfere with the evaluation of patients with RA.Objectives: The aim of this study was to evaluate the possible impact of OA on the clinical, laboratory and ultrasound parameters currently evaluated in patients with early RA (ERA).Methods: We have evaluated the data obtained from patients with ERA referred to our Early Arthritis Research Center (EARC). Only data from patients who fulfilled EULAR/ ACR 2010 criteria for RA and had symptom duration of less than 12 months were analyzed. All patients underwent clinical examination, laboratory tests and ultrasound (US) examination.Results: There was a clear predominance of women (62.8%). The mean age was 55.47±13.71 years. At baseline, 21 patients (48.8%) were diagnosed with OA. Hand OA did not influence the values of any of the parameters assessed (p>0.05). For patients with knee OA, significantly higher values were observed only for DAS28 at baseline (p=0.018) as well as after 12 months of observation (p=0.031).Conclusions: Significantly higher values of DAS28 were observed in patients with ERA who associated knee OA, while the values of SDAI were not influenced, suggesting that SDAI may be superior to DAS28 in evaluating patients with ERA and knee OA. The values of patient’s VAS were not influenced by the presence of hand or knee OA suggesting that these types of OA do not influence the patients’ perception of the disease activity. Moreover, the values of ultrasound scores were not influenced by the presence of OA.

Nonparametric Decision Support Systems in Medical Diagnosis

2011 ◽  
pp. 1483-1500
Author(s):  
Steven Walczak ◽  
Bradley B. Brimhall ◽  
Jerry B. Lefkowitz
Keyword(s):  
Medical Diagnosis ◽  
Laboratory Tests ◽  
Clinical Laboratory ◽  
Predictive Performance ◽  
Diagnostic Model ◽  
Medical Problems ◽  
Diagnostic Models ◽  
Trained Neural Network ◽  
Diagnostic Capabilities ◽  
D Dimer

Patients face a multitude of diseases, trauma, and related medical problems that are difficult to diagnose and have large treatment and diagnostic direct costs, including pulmonary embolism (PE), which has mortality rates as high as 10%. Advanced decision-making tools, such as nonparametric neural networks (NN), may improve diagnostic capabilities for these problematic medical conditions. The research develops a backpropagation trained neural network diagnostic model to predict the occurrence of PE. Laboratory database values for 292 patients who were determined to be at risk for PE, with almost 15% suffering a confirmed PE, were collected and used to evaluate various NN models’ performances. Results indicate that using NN diagnostic models enables the leveraging of knowledge gained from standard clinical laboratory tests, specifically the d-dimer assay and reactive glucose, significantly improving overall positive predictive value, compared to using either test in isolation, and also increasing negative predictive performance.

scholarly journals Dataset of clinical laboratory tests according to ordering variance among family physicians in Calgary, Alberta, Canada

Data in Brief ◽  
2019 ◽  
Vol 25 ◽  
pp. 104387
Author(s):  
Leonard T. Nguyen ◽  
Maggie Guo ◽  
Brenda Hemmelgarn ◽  
Hude Quan ◽  
Fiona Clement ◽  
...  
Keyword(s):  
Laboratory Tests ◽  
Clinical Laboratory ◽  
Family Physicians

Nonparametric Decision Support Systems in Medical Diagnosis

2011 ◽  
pp. 562-579
Author(s):  
Steven Walczak ◽  
Bradley B. Brimhall ◽  
Jerry B. Lefkowitz
Keyword(s):  
Medical Diagnosis ◽  
Laboratory Tests ◽  
Clinical Laboratory ◽  
Predictive Performance ◽  
Diagnostic Model ◽  
Medical Problems ◽  
Diagnostic Models ◽  
Trained Neural Network ◽  
Diagnostic Capabilities ◽  
D Dimer

Patients face a multitude of diseases, trauma, and related medical problems that are difficult to diagnose and have large treatment and diagnostic direct costs, including pulmonary embolism (PE), which has mortality rates as high as 10%. Advanced decision-making tools, such as nonparametric neural networks (NN), may improve diagnostic capabilities for these problematic medical conditions. The research develops a backpropagation trained neural network diagnostic model to predict the occurrence of PE. Laboratory database values for 292 patients who were determined to be at risk for PE, with almost 15% suffering a confirmed PE, were collected and used to evaluate various NN models’ performances. Results indicate that using NN diagnostic models enables the leveraging of knowledge gained from standard clinical laboratory tests, specifically the d-dimer assay and reactive glucose, significantly improving overall positive predictive value, compared to using either test in isolation, and also increasing negative predictive performance.

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