scholarly journals DIC Score: Statistical Relationship with PT, APTT, and Simplified Scoring Systems with Combinations of PT and APTT

2012 ◽  
Vol 2012 ◽  
pp. 1-4 ◽  
Author(s):  
Vani Chandrashekar
Keyword(s):  
Regression Analysis ◽  
Platelet Count ◽  
Scoring System ◽  
Linear Regression Analysis ◽  
Scoring Systems ◽  
Activated Partial Thromboplastin Time ◽  
Statistical Relationship ◽  
Statistical Association ◽  
A Value ◽  
D Dimer

We looked into the statistical association of prothrombin time (PT) and activated partial thromboplastin time (APTT) with disseminated intravascular coagulation (DIC) score calculated using the International society for thrombosis and haemostasis (ISTH) scoring system. The PT, APTT, PT + APTT, and PT/APTT ratios were evaluated against the DIC score by linear regression analysis in fifty inpatients with suspected DIC. The PT, PT + APTT, and PT/APTT ratios were all found to be statistically significant in predicting DIC scores with values of 0.02, 0.03, and 0.02, respectively. The APTT alone was not found to be statistically significant in predicting DIC score and had a value of 0.09. This scoring system does not need d-dimer levels and the platelet count.

scholarly journals Hemostatic changes in patients with chronic renal failure

2018 ◽  
Vol 60 (2) ◽  
pp. 85-88
Author(s):  
Harith Y. Serrheed ◽  
Eman J. Mohammed
Keyword(s):  
Renal Failure ◽  
Platelet Count ◽  
Chronic Renal Failure ◽  
Renal Disease ◽  
Bleeding Time ◽  
Activated Partial Thromboplastin Time ◽  
Bleeding Diathesis ◽  
Detailed History ◽  
End Stage ◽  
D Dimer

Background: Renal disease results in significant disorder of hemostasis (bleeding diathesis orhypercoagulable state).Objectives: This study is to determine the changes in some hemostasis parameters in patients withchronic renal failure and identify the effect of dialysis on these changes.Patients and Methods: seventy five patients with end stage chronic renal failure were collected fromBaghdad hospital, a full detailed history and clinical examination were performed, 50 patients were onmaintenance weekly hemodialysis, and 25 patients were without dialysis.Result: Bleeding time was significantly higher in patients with chronic renal failure who didn’t needany type of dialysis, positive D-Dimer test. In some patients, Platelet count, prothrombin time, thrombintime, fibrinogene level, activated partial thromboplastin time; all did not reach significant level betweenboth groups of patients.Conclusion: hemostatic changes are not uncommon in patients with chronic renal failure, affecting thedifferent parameter hemostasis so it should be consider in the management of these patients.

scholarly journals Two regression models and a scoring system for predicting survival and planning treatment in myelodysplastic syndromes: a multivariate analysis of prognostic factors in 370 patients

Blood ◽  
1989 ◽  
Vol 74 (1) ◽  
pp. 395-408 ◽  
Author(s):  
GF Sanz ◽  
MA Sanz ◽  
T Vallespi ◽  
MC Canizo ◽  
M Torrabadella ◽  
...  
Keyword(s):  
Bone Marrow ◽  
Regression Analysis ◽  
Platelet Count ◽  
Prognostic Factors ◽  
Myelodysplastic Syndromes ◽  
Scoring System ◽  
Regression Models ◽  
Type I ◽  
Blast Cells ◽  
Total Bone Marrow

Therapy planning in patients with myelodysplastic syndromes (MDSs) is complicated by its high prognostic heterogeneity. Forty-one patient and disease characteristics at onset of 370 patients with MDS were analyzed to identify significant prognostic factors for survival and transformation to acute myeloblastic leukemia (AML), and to develop and validate a regression model for predicting survival. Multivariate regression analysis showed that the total bone marrow percentage of blast cells, age, platelet count, WBC count, and hemoglobin level were the characteristics more significantly associated with survival in the overall series. The bone marrow percentage of type I blast cells was the most important factor predicting transformation into AML. Proportional hazards regression analysis in a randomly selected training sample of 240 patients demonstrated that the combination of total bone marrow percentage of blast cells, platelet count, and age had the strongest predictive relation to survival length. The resulting regression models, continuous and categorized, were validated in the remaining test sample of 130 patients by demonstrating its capability of segregating patients into low-, intermediate-, and high-risk groups, with distinctively different survival curves (P less than .0001). A scoring system derived from the categorized model also had a great prognostic value (P less than .0001). These regression models and the simpler scoring system may be accurately used for decision-making regarding therapy in MDS patients.

scholarly journals Pengaruh Produk Domestik Regional Bruto (PDRB) terhadap Tingkat Kemiskinan Kota Medan

2022 ◽  
Vol 4 (3) ◽  
pp. 683-693
Author(s):  
Reni Ria Armayani Hasibuan ◽  
Anggi Kartika ◽  
Firdha Aigha Suwito ◽  
Lismaini Agustin
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Time Series Data ◽  
Linear Regression Analysis ◽  
Domestic Product ◽  
Series Data ◽  
Simple Linear Regression ◽  
Poverty Level ◽  
Simple Linear Regression Analysis ◽  
A Value

This study has the benefit of analyzing the effect of regional gross domestic product on poverty in the city of Medan in 2010-2020. The research method used is a quantitative method with reference to a descriptive approach. The data used is time series data on economic growth and poverty at the Central Statistics Agency (BPS) of Medan City in 2010-2020. Data collection techniques used are journals, book documentation, and previous reports. The technique of analyzing the data uses simple linear regression analysis which is carried out to determine whether the model used is free from deviations from the classical assumption test. The equations obtained from the simple linear regression analysis test Y = 24576.325 – 0.365X and have the understanding that the GRDP variable (X) has a significant effect on Poverty (Y). Obtained a value of R2 (R square) of 0.556 with the understanding that the independent variable, namely GRDP, affects the variable of the poverty level in Medan City by 55.6%. Meanwhile, the remaining 44.4% are influenced by different independent variables and are not included in this study. For this reason, it can be concluded that when GRDP increases, it will have an impact on decreasing the value of Poverty in Medan City, and vice versa. Keywords: Gross Regional Domestic Product; Poverty; Medan city

Derivation of a Simple Clinical Model to Categorize Patients Probability of Pulmonary Embolism: Increasing the Models Utility with the SimpliRED D-dimer

2000 ◽  
Vol 83 (03) ◽  
pp. 416-420 ◽  
Author(s):  
David Anderson ◽  
Marc Rodger ◽  
Jeffrey Ginsberg ◽  
Clive Kearon ◽  
Michael Gent ◽  
...  
Keyword(s):  
Pulmonary Embolism ◽  
Scoring System ◽  
Clinical Symptoms ◽  
Prediction Rule ◽  
Scoring Systems ◽  
Clinical Prediction Rule ◽  
Clinical Prediction ◽  
Clinical Model ◽  
Validation Set ◽  
D Dimer

SummaryWe have previously demonstrated that a clinical model can be safely used in a management strategy in patients with suspected pulmonary embolism (PE). We sought to simplify the clinical model and determine a scoring system, that when combined with D-dimer results, would safely exclude PE without the need for other tests, in a large proportion of patients. We used a randomly selected sample of 80% of the patients that participated in a prospective cohort study of patients with suspected PE to perform a logistic regression analysis on 40 clinical variables to create a simple clinical prediction rule. Cut points on the new rule were determined to create two scoring systems. In the first scoring system patients were classified as having low, moderate and high probability of PE with the proportions being similar to those determined in our original study. The second system was designed to create two categories, PE likely and unlikely. The goal in the latter was that PE unlikely patients with a negative D-dimer result would have PE in less than 2% of cases. The proportion of patients with PE in each category was determined overall and according to a positive or negative SimpliRED D-dimer result. After these determinations we applied the models to the remaining 20% of patients as a validation of the results. The following seven variables and assigned scores (in brackets) were included in the clinical prediction rule: Clinical symptoms of DVT (3.0), no alternative diagnosis (3.0), heart rate >100 (1.5), immobilization or surgery in the previous four weeks (1.5), previous DVT/PE (1.5), hemoptysis (1.0) and malignancy (1.0). Patients were considered low probability if the score was <2.0, moderate of the score was 2.0 to 6.0 and high if the score was over 6.0. Pulmonary embolism unlikely was assigned to patients with scores <4.0 and PE likely if the score was >4.0. 7.8% of patients with scores of less than or equal to 4 had PE but if the D-dimer was negative in these patients the rate of PE was only 2.2% (95% CI = 1.0% to 4.0%) in the derivation set and 1.7% in the validation set.Importantly this combination occurred in 46% of our study patients. A score of <2.0 and a negative D-dimer results in a PE rate of 1.5% (95% CI = 0.4% to 3.7%) in the derivation set and 2.7% (95% CI = 0.3% to 9.0%) in the validation set and only occurred in 29% of patients. The combination of a score <4.0 by our simple clinical prediction rule and a negative SimpliRED D-Dimer result may safely exclude PE in a large proportion of patients with suspected PE.

scholarly journals Effect of Professional Ethics Auditor on Level of Materiality in Financial Statement Inspection (Case Study of KAP in Padang City)

2019 ◽  
Author(s):  
Dewi Zulvia
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Professional Ethics ◽  
Linear Regression Analysis ◽  
Financial Statement ◽  
Simple Linear Regression ◽  
Significance Level ◽  
Institutional Level ◽  
A Value

The purpose of this research are: Testing the influence of professionalism on the institutional level. This research uses simple linear regression analysis. The Reputable Variable in a professional auditor has a t count value of 0.000 with a significance level of 0.000 &lt;0.05. This shows the existence. The results of this research also show the significance value of the F test is 0.000 which has a value greater than 0.05. This means professionally affecting auditors simultaneously significant to levels. From result of determination test show matter - things that determine (R2) is equal to 0,714, this mean 51% variable tax planing can be explained by perception variable of management accountant. While the rest (100% - 51% = 49%), is given by other variables.

scholarly journals Loyalitas Nasabah Bank Nagari Syariah Cabang Bukittinggi Dilihat dari Kualitas Pelayanan

JURNAL PUNDI ◽  
2018 ◽  
Vol 1 (3) ◽  
Author(s):  
Doni Marlius
Keyword(s):  
Quality Of Service ◽  
Regression Analysis ◽  
Linear Regression ◽  
Service Quality ◽  
Customer Loyalty ◽  
Linear Regression Analysis ◽  
Physical Evidence ◽  
A Value

Customer loyalty is very important for companies that maintain the continuity of their business and the continuity of business activities. The purpose of this study is to determine the effect of service quality on customer loyalty Bank Syariah Bank Bukittinggi Branch. The sample used counted 86 people, with method of doubled linear regression analysis. The result proves that the physical evidence has a significance value of 0.016 <0.05, empathy has a significance value of 0.023 <0.05, reliability has a significance value of 0.014 <0.05, the responsiveness has a significance value of 0.000 <0.05, the assurance has a value significance of 0.174> 0.05, that physical evidence, empathy, reliability, responsiveness and assurance have a significance value of 0,000 <0.05. Thus the physical evidence, empathy, reliability, responsiveness and collateral together have a positive and significant impact on customer loyalty of Bank Nagari Syariah Bukittinggi Branch.Keywords: Loyalty, Quality of Service

scholarly journals Hemostatic changes in patients with chronic renal failure

2018 ◽  
Vol 60 (2) ◽  
pp. 85-88
Author(s):  
Harith Y. Serrheed ◽  
Eman J. Mohammed
Keyword(s):  
Renal Failure ◽  
Platelet Count ◽  
Chronic Renal Failure ◽  
Renal Disease ◽  
Bleeding Time ◽  
Activated Partial Thromboplastin Time ◽  
Bleeding Diathesis ◽  
Detailed History ◽  
End Stage ◽  
D Dimer

Background: Renal disease results in significant disorder of hemostasis (bleeding diathesis orhypercoagulable state).Objectives: This study is to determine the changes in some hemostasis parameters in patients withchronic renal failure and identify the effect of dialysis on these changes.Patients and Methods: seventy five patients with end stage chronic renal failure were collected fromBaghdad hospital, a full detailed history and clinical examination were performed, 50 patients were onmaintenance weekly hemodialysis, and 25 patients were without dialysis.Result: Bleeding time was significantly higher in patients with chronic renal failure who didn’t needany type of dialysis, positive D-Dimer test. In some patients, Platelet count, prothrombin time, thrombintime, fibrinogene level, activated partial thromboplastin time; all did not reach significant level betweenboth groups of patients.Conclusion: hemostatic changes are not uncommon in patients with chronic renal failure, affecting thedifferent parameter hemostasis so it should be consider in the management of these patients.

scholarly journals Two regression models and a scoring system for predicting survival and planning treatment in myelodysplastic syndromes: a multivariate analysis of prognostic factors in 370 patients

Blood ◽  
1989 ◽  
Vol 74 (1) ◽  
pp. 395-408 ◽  
Author(s):  
GF Sanz ◽  
MA Sanz ◽  
T Vallespi ◽  
MC Canizo ◽  
M Torrabadella ◽  
...  
Keyword(s):  
Bone Marrow ◽  
Regression Analysis ◽  
Platelet Count ◽  
Prognostic Factors ◽  
Myelodysplastic Syndromes ◽  
Scoring System ◽  
Regression Models ◽  
Type I ◽  
Blast Cells ◽  
Total Bone Marrow

Abstract Therapy planning in patients with myelodysplastic syndromes (MDSs) is complicated by its high prognostic heterogeneity. Forty-one patient and disease characteristics at onset of 370 patients with MDS were analyzed to identify significant prognostic factors for survival and transformation to acute myeloblastic leukemia (AML), and to develop and validate a regression model for predicting survival. Multivariate regression analysis showed that the total bone marrow percentage of blast cells, age, platelet count, WBC count, and hemoglobin level were the characteristics more significantly associated with survival in the overall series. The bone marrow percentage of type I blast cells was the most important factor predicting transformation into AML. Proportional hazards regression analysis in a randomly selected training sample of 240 patients demonstrated that the combination of total bone marrow percentage of blast cells, platelet count, and age had the strongest predictive relation to survival length. The resulting regression models, continuous and categorized, were validated in the remaining test sample of 130 patients by demonstrating its capability of segregating patients into low-, intermediate-, and high-risk groups, with distinctively different survival curves (P less than .0001). A scoring system derived from the categorized model also had a great prognostic value (P less than .0001). These regression models and the simpler scoring system may be accurately used for decision-making regarding therapy in MDS patients.

scholarly journals Pengaruh Penagihan Pajak Dengan Surat Teguran dan Surat Paksa Terhadap Kepatuhan Wajib Pajak di Kantor Pelayanan Pajak Pratama Padang Satu

JURNAL PUNDI ◽  
2018 ◽  
Vol 2 (2) ◽  
Author(s):  
Nila Sari ◽  
Dewi Zulvia ◽  
Ratna Widayati ◽  
Renil Septiano
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
T Test ◽  
Tax Collection ◽  
Significance Level ◽  
A Value ◽  
Simple Regression Analysis ◽  
Simple Regression

The purpose of this study is to examine the effect of tax collection by the forced letter and letter of reprimand against taxpayer compliance at the Tax Office Pratama padang. This research uses multiple linear regression analysis. The result of simple regression analysis shows that the coefficient value of letter warning variable is 0,449. The strike variable has a t test value (titung) of 6.863 with a significance level of 0.000 <0.05. This shows that there is a positive and significant effect of tax collection with letters of reprimand against taxpayer compliance in KPP Pratama Padang. The result of simple regression analysis shows that the coefficient value of the forced letter variable is 0.226. The variable of forced letter has a value of t test (titung) of 2.155 with a significance level of 0.035> 0.05. This shows that there is a positive and significant effect of tax collection with letters of reprimand against taxpayer compliance in KPP Pratama Padang. The results of this research also show that the significance value of the F test is 0.000 which has a value less than 0.05. This means that the collection of taxes with letters of reprimand and forced mail together have a significant effect on taxpayer compliance in KPP Pratama Padang. From result of determination test show that coefficient value of Adjusted R Square is equal to 0,442, it means 44,2% taxpayer compliance variable can be explained by tax collection variable with letter of warning and forced letter. While the rest (100% - 44.2% = 55.8%), influenced by other variables associated with taxpayer compliance Keywords: tax collection, letter of reprimand, forced letter, taxpayer compliance

PENINGKATAN PENDAPATAN ASLI DAERAH MELALUI ANALISIS EFEKTIFITAS DAN KONTRIBUSI RETRIBUSI PASAR

2019 ◽  
Vol 5 (1) ◽  
pp. 71-83
Author(s):  
Sayekti Suindyah Dwiningwarni ◽  
Judi Suharsono ◽  
Mohammad Dedy Eko TS
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Analytical Method ◽  
Financial Services ◽  
Government Intervention ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
A Value

The motivation of this study is the research conducted by Yuyus Yudistria (2015), which states that retribution is a potential income for a region. This study aims at 1) to determine the effectiveness of market retribution on Regional Original Revenue; 2) to determine the effect of market retribution contribution to Regional Original Revenue. The analytical method is multiple linear regression analysis. The results of the study include: 1) The overall average shop and lesehan retribution during the period 2010-2013 is very effective with values ​​above 100%, which is between 103% - 136%; 2) The overall average shop and lesehan retribution during the 2014 period is effective with a value between 90-100%, which is 97%; 3) Shophouse contributions have a positive and significant effect on PAD; 4) Lesehan contribution has a negative and significant effect on PAD partially; 5) The contribution of shophouses and lesehan has a positive and significant effect on PAD simultaneously. This indicates that there is still a lack of government intervention in service and upgrading of facilities to increase retribusi for shophouses and financial services as well as not yet optimal withdrawal of these levies. This levy provides positive hope for increasing PAD

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