Clinical Factors in the Diagnosis of Deep Venous Thrombosis (DVT)

1979 ◽  
Author(s):  
A.N. Nicolaides ◽  
D. Irving
Keyword(s):  
Multivariate Analysis ◽  
Venous Thrombosis ◽  
Deep Venous Thrombosis ◽  
Multiple Regression ◽  
Regression Equation ◽  
Multiple Regression Equation ◽  
Clinical Factors ◽  
Ankle Oedema ◽  
Very High ◽  
Significant Factors

Local signs and clinical factors were recorded in 160 patients (177 limbs) with clinically suspected DVT studied with venography. Thrombi were present in 96 limbs. A multivariate analysis was performed on the data: extension of signs proximal to the knee, deep calf induration at the site of tenderness, hypotension, patient’s group (medical or surgical), and obvious cause of signs other than DVT were significant. Thigh tendernessthigh oedema, calf tenderness, ankle oedema, malignancy, Homan’s sign, chest infection and cardia failure were not significant. Using the significant factors a multiple regression equation was calculated. From this equation the probability of DVT could be obtained for any patient. In 20% of patients the probability of DVT was very small (<10%) and in 16% of patients it was very high (>90%) enabling the clinician to decide about the method of further investigation.

The Risk of Deep Venous Thrombosis in Surgical Patients Using Multivariate Analysis

1975 ◽  
Author(s):  
A. N. Nicolaides ◽  
Doreen Irving
Keyword(s):  
Venous Thrombosis ◽  
Deep Venous Thrombosis ◽  
Varicose Veins ◽  
Maximum Likelihood Estimates ◽  
Clinical Factors ◽  
Logistic Analysis ◽  
History Of ◽  
Fibrinogen Test ◽  
A Prospective Study ◽  
Significant Factors

The purpose of the present study was to develop a method of determining the patients who are at risk and require prophylaxis.In a prospective study of 535 patients various clinical factors believed to predispose to deep venous thrombosis have been studied using a linear logistic analysis. The patients had been screened with the 125I-fibrinogen test. A standard computer program was used to obtain the maximum likelihood estimates of the coefficients for the various factors studied. The most important factor was age; premedication with omnopon, presence of varicose veins, infection, history of previous DVT, severity and type of operation were also significant.For any patient the logit y can be estimated and expressed as a percentage risk of thrombosis using the equation y = −6.00 + (Age × 0.0617) + (History of previous DVT × 1.38) + (V. veins × 1.26) + (Premedication with omnopon × 0.97) + (Infection × 0.84) -(Urological operation × 1.94) - (Thoracic operation × 1.15) derived from the significant factors and their coefficients. (The values of factors other than age are either 0 = absent, or 1 = present.)

scholarly journals Correlation of 3-Dimensional Shoulder Kinematics to Function in Subjects With Idiopathic Loss of Shoulder Range of Motion

2005 ◽  
Vol 85 (7) ◽  
pp. 636-647 ◽  
Author(s):  
Peter J Rundquist ◽  
Paula M Ludewig
Keyword(s):  
Range Of Motion ◽  
Multiple Regression ◽  
External Rotation ◽  
Regression Equation ◽  
Multiple Regression Equation ◽  
3 Dimensional ◽  
Shoulder Range Of Motion ◽  
Shoulder Kinematics ◽  
And Function ◽  
Shoulder Range

AbstractBackground and Purpose. People with idiopathic loss of shoulder range of motion (ROM) have difficulty completing activities of daily living. This investigation was performed to determine the association between active glenohumeral ROM and function and to develop a multiple regression equation to explain variation in function in people with idiopathic loss of shoulder motion. Subjects and Methods. This was a comparative study of 21 subjects (18 female, 3 male), using measurements of shoulder kinematics and administration of the Shoulder Rating Questionnaire (SRQ). Electromagnetic tracking sensors monitored the 3-dimensional position of the scapula and humerus throughout active shoulder motions. Correlations were performed between the active ROMs of interest and various demographic factors and the SRQ. A multiple regression equation was generated. Results. A multiple regression equation including scapular-plane abduction, external rotation at the side, external rotation at 90 degrees of abduction, and weight explained 69% of the variation in the SRQ scores. Discussion and Conclusion. The results suggest that active ROM can be used to predict function in people with idiopathic loss of shoulder ROM.

Analysis of Cloud Seeding Efforts in the Tri-County Area,* Oregon, 1950–54

1957 ◽  
Vol 38 (3) ◽  
pp. 134-137 ◽  
Author(s):  
Fred W. Decker ◽  
Russell L. Lincoln ◽  
John A. Day
Keyword(s):  
Multiple Regression ◽  
Regression Equation ◽  
Multiple Regression Equation ◽  
Cloud Seeding ◽  
North Central ◽  
Natural Rainfall ◽  
Cent Level

Using an 11-variable multiple regression equation to compute the “natural” rainfall, it is concluded that commercial cloud seeding during 1950–54 in three north central Oregon counties failed to produce departures in precipitation which are statistically significant at the 5 per cent level of acceptance.

scholarly journals Incidence of deep vein thrombosis and quality of venous thromboembolism prophylaxis

2014 ◽  
Vol 41 (1) ◽  
pp. 02-06 ◽  
Author(s):  
Alberto Okuhara ◽  
Túlio Pinho Navarro ◽  
Ricardo Jayme Procópio ◽  
Rodrigo De Castro Bernardes ◽  
Leonardo De Campos Correa Oliveira ◽  
...  
Keyword(s):  
Deep Vein Thrombosis ◽  
High Risk ◽  
Venous Thrombosis ◽  
Deep Venous Thrombosis ◽  
Risk Groups ◽  
Moderate Risk ◽  
Vein Thrombosis ◽  
Deep Vein ◽  
Very High

OBJECTIVE: to determine the incidence of deep vein thrombosis and prophylaxis quality in hospitalized patients undergoing vascular and orthopedic surgical procedures. METHODS: we evaluated 296 patients, whose incidence of deep venous thrombosis was studied by vascular ultrasonography. Risk factors for venous thrombosis were stratified according the Caprini model. To assess the quality of prophylaxis we compared the adopted measures with the prophylaxis guidelines of the American College of Chest Physicians. RESULTS: the overall incidence of deep venous thrombosis was 7.5%. As for the risk groups, 10.8% were considered low risk, 14.9%moderate risk, 24.3% high risk and 50.5% very high risk. Prophylaxis of deep venous thrombosis was correct in 57.7%. In groups of high and very high risk, adequate prophylaxis rates were 72.2% and 71.6%, respectively. Excessive use of chemoprophylaxis was seen in 68.7% and 61.4% in the low and moderate-risk groups, respectively. CONCLUSION: although most patients are deemed to be at high and very high risk for deep vein thrombosis, deficiency in the application of prophylaxis persists in medical practice.

The Use of Econometric Analysis in Forecasting Macroeconomic Processes

2021 ◽  
pp. 28-33
Author(s):  
Aleksandr Kalyanov ◽  
Andrey Shishkin
Keyword(s):  
Multiple Regression ◽  
Econometric Model ◽  
Econometric Analysis ◽  
Regression Equation ◽  
Multiple Regression Equation ◽  
Linear Multiple Regression ◽  
Consumer Prices ◽  
Macroeconomic Indicators ◽  
Primary Impact ◽  
Selection Of

The article discusses the issues related to the influence of various price categories of goods on the level of inflation. The possibility of using econometric analysis for predictive purposes is considered. An econometric model of multiple regression of the influence of consumer prices on the level of inflation is formed. A linear multiple regression equation is constructed. The selection of factors for the construction of an econometric model is made. The main groups of goods are identified, the prices of which form the level of inflation and can have a primary impact. The viability of the model and the possibility of forecasting macroeconomic indicators based on econometric analysis are proved.

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