scholarly journals Calculating the dose of cisplatin that is actually utilized in hyperthermic intraperitoneal chemotherapy among ovarian cancer patients

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Wu-yun Wang ◽  
Miao-fang Wu ◽  
Dong-bing Wu ◽  
Li-juan Wang ◽  
Hui Li ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Regression Analysis ◽  
Linear Regression ◽  
Cancer Patients ◽  
Intraperitoneal Chemotherapy ◽  
Hyperthermic Intraperitoneal Chemotherapy ◽  
Linear Regression Analysis ◽  
Regression Equation ◽  
The Body ◽  
Prognostic Impact

Abstract Background Hyperthermic intraperitoneal chemotherapy (HIPEC) is an important treatment for ovarian cancer. A certain portion of cisplatin exits the body via the perfusate at the end of HIPEC, so full-dose utilization cannot be achieved. Herein, we sought to explore how much cisplatin is actually utilized and its prognostic influence. Methods Cisplatin (70 mg/m2) was given at 43 °C for 90 min. The actually utilized dose (AD) of cisplatin was calculated using the following formula: AD (mg) = total dose (TD) (mg)-losing dose (LD) (mg); LD = volume (ml) of the perfusate (VPretained) that was retained in the HIPEC treatment system at the end of HIPEC * concentration of cisplatin in the perfusate (mg/ml). Result Sixty-two ovarian cancer patients were included. The median TD, median LD and median AD were 95 mg, 20.7 mg and 75.8 mg, respectively. The utility rate of cisplatin (AD/TD ratio) was 79.2%. On simple linear regression analysis, the TD and VPretained were found to significantly predict the AD. Based on these two factors, multiple linear regression analysis was conducted, and a significant regression equation was formulated [F (2, 59) = 71.419, P < 0.0001]: predicted AD (mg) = 30.079 + 0.667 TD (mg) – 0.010 VPretained (ml) (adjusted R2 = 0.698). In Cox regression analysis, AD was not noted to be associated with progression free survival or overall survival. Conclusion For ovarian cancer patients who receive cisplatin for HIPEC at 43 °C, the AD of cisplatin can be predicted using a regression equation and it has no prognostic impact.

scholarly journals PENGARUH KUALITAS PRODUK TERHADAP KEPUTUSAN KONSUMEN MEMBELI MOBIL MEREK TOYOTA AGYA DI KOTA PALU (PT. HADJI KALLA)

2020 ◽  
Vol 2 (2) ◽  
pp. 107-116
Author(s):  
Rizcky Ardiansyah ◽  
Rosida P Adam ◽  
Bakri Hasanuddin
Keyword(s):  
Decision Making ◽  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Product Quality ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Regression Equation ◽  
Analysis Tool

The objective of the research is to find out and analyze the influence of product quality on decision-making, both simultaneously and partially. The research is verificative. The sample involves consumers of Agya car at PT. Hadji Kalla. The analysis tool used is multiple linear regression analysis. The result of regression equation from the study is -2.887 + 0,237 X1+ 0,220X2 + 0,217X3 + 0,319X4 + 0,166X5 + 0,418X6 + 0,140X7. Product Quality partially has significant to decision-making.                                 Tujuan dari penelitian ini adalah untuk mengetahui dan menganalisis pengaruh Kualitas Produk keputusan menandai baik secara simultan maupun parsial. Penelitian ini merupakan penelitian verifikatif. sampel adalah konsumen Of Agya di PT. Hadji Kalla. Alat analisis yang digunakan adalah beberapa analisis regresi linear. Hasil persamaan regresi dari penelitian ini adalah -2,887 + 0.237 X1 + 0,220X2 + 0,217X3 + 0,319X4 + 0,166X5 + 0,418X6 + 0,140X7. Kualitas produk parsial memiliki signifikan untuk pembuatan keputusan.

Chemical prediction of water activity in processed cheese

1989 ◽  
Vol 56 (4) ◽  
pp. 665-668 ◽  
Author(s):  
María A. Esteban ◽  
Andrés Marcos
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Water Activity ◽  
Negative Correlation ◽  
Linear Regression Analysis ◽  
Significant Negative Correlation ◽  
Regression Equation ◽  
Low Fat ◽  
Two Samples ◽  
The Mean

SummaryBy linear regression analysis, a highly significant negative correlation (r = −0·96) was found between the mean ash concentration values (g/100 g moisture) and water activity (aw) of six types of processed cheeses (low-fat, semi-fat, fat, extra-fat, double fat and special). The regression equation aw = 0·9951 − 0·0032* (ash), applied to 40 cheese samples, yielded aw values which differed by < 0·005 aw units from those measured experimentally in 75% of the samples. The maximum differences between the calculated and experimental aw values (found in only two samples) were ±0·01 aw units.

Financial toxicity and its associated patient and cancer factors among women with breast cancer in China.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e19402-e19402
Author(s):  
Jingfeng Jing ◽  
Ran Feng ◽  
Xiaojun Zhang ◽  
Ming Li ◽  
Jinnan Gao
Keyword(s):  
Breast Cancer ◽  
Regression Analysis ◽  
Linear Regression ◽  
Cancer Treatment ◽  
Cancer Patients ◽  
Linear Regression Analysis ◽  
Cancer Stage ◽  
Financial Toxicity ◽  
Medical Expenses ◽  
The Cost

e19402 Background: The term “Financial toxicity(FT)” is widely used to describe the distress or hardship patients suffering from the financial burden of cancer treatment[1]. Increased evidences have showed that cancer-associated FT is common and has a negative impact on patients’ mental health, quality and length of life[1,2]. The scale of COmprehensive Score for financial Toxicity-Functional Assessment of Chronic Illness Therapy (COST-FACIT) was used to assess the FT of cancer patients, which has been validated and widely used internationally [3] and China [4]. To our knowledge, little is known about the FT of breast cancer patients in China. The aim of this study is to assess the FT and to investigate patients and cancer characteristic that associated with it in patients in central China. Methods: This was a cross-sectional study among 188 patients with stage 0-III women breast cancer admitted in Bethune hospital in Taiyuan, Shanxi province during January - May 2019. FT was self-reported using the COST-FACIT. Patients’ socio-demographic factors, clinical examination, and cancer treatment were collected from questionnaire and hospital record. The financial concern and coping strategy was self-reported. Factors associated with FT was identified using linear regression analysis. Results: One hundred and sixty-six (88.2%) completed the questionnaire. The COST score ranged 0-40 with a mean of 21.2 (median 22.5, standard deviation 8.1). On multivariate linear regression analysis, older age (β coefficient: 0.19, 95% CI: 0.10-0.29, p<0.001), higher household income (β coefficient: 3000-5000 Yuan: 6.48, 95% CI: 2.78-10.17, p =0.001; ≥ 5000 Yuan: 11.17, 95% CI: 7.25-15.09, p<0.001) were positively associated with COST scores. Advanced cancer stage was the strongest predictor of FT among the cancer characteristics (β coefficient: -1.81, 95% CI: -3.17, -0.46, p=0.009). To cope with the FT, 131 (78.8%) patients decreased non-medical expenses, and 56 (33.7%) reduced or quit treatment. Conclusions: FT was significantly associated with patient’s age, income, and cancer stage. Women having financial concerns after diagnosis were more likely to reduce their non-medical expenses and even quit treatments. Clinicians should take into account the FT levels in all patients and work out appropriate treatment strategies for optimal clinical outcome.

scholarly journals PENGARUH MOTIVASI KERJA DAN DISIPLIN KERJA TERHADAP KINERJA KARYAWAN

2019 ◽  
Author(s):  
fayola issalillah
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Significant Influence ◽  
Work Motivation ◽  
Employee Performance ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Regression Equation

ABSTRACT This study aims to determine the motivation variables have a significant effect on performance and work discipline has a significant effect on performance. The sample in this study was 30 respondents and used multiple linear regression analysis with the following regression equation Y Y = 4.604 + 0.476X1 + 0.336X2 + e. From the regression equation it can be seen that the work motivation variable is stated to have a significant influence on employee performance. It can also be said that the more work motivation will affect employee performance. Work discipline variables have an influence on employee performance (Y). This means, every time there is an increase in work discipline will improve employee performance.. Keywords: motivation, discipline, performance ABSTRAKSIPenelitian ini bertujuan untuk mengetahui variabel motivasi berpengaruh signifikan terhadap kinerja dan displin kerja berpengaruh signifikan terhadap kinerja. Sampel dalam penelitian ini adalah 30 responden dan menggunakan analisis regresi linier berganda dengan persamaan regresi sebagai berikut Y = 4,604 + 0,476X1 + 0,336X2 + e. Dari persamaan regresi tersebut dapat diketahui bahwa variabel Motivasi kerja dinyatakan terdapat pengaruh signifikan terhadap kinerja karyawan. Dapat pula dikatakan bahwa semakin motivasi kerja maka akan mempengaruhi kinerja karyawan. Variabel disiplin kerja mempunyai pengaruh terhadap kinerja karyawan (Y). Hal ini berarti, setiap ada peningkatan disiplin kerja akan meningkatkan kinerja karyawan. Kata kunci: motivasi, disiplin, kinerja

scholarly journals The Effect of Automotive Seat Cushion Stiffness Distribution on the Subjective Comfort

2019 ◽  
Vol 8 (2S6) ◽  
pp. 336-341
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
The Body ◽  
Strong Positive Correlation ◽  
Comfort Evaluation ◽  
Selection Of Variables ◽  
Stiffness Distribution

When body pressures are concentrated, sense of fatigue is increased. To confirm this, correlation analysis between the difference in stiffness of seat and comfort using multiple linear regression analysis has been conducted. For the selected three types of seats which are small-, mid-, and large-size seats, respectively, static tests were con-ducted to measure the distribution of the subject's body pressure on the cushion, through which local stiffness distribution were derived. Also, a subjective comfort evaluation was conducted, and analyzed. According to the present analysis results, the correlation coefficients between stiff-ness of hip area and comfort of hip area were observed to be 0.713 and 0.789, respectively, indicating a strong positive correlation. Thus, the comfort of seat perceived by the driver could be seen to have the largest linear correlation with the stiffness of hip area. Selection of variables for the multiple linear regression analysis was implemented by a backward removal method. Differences of stiffness by areas were selected as independent variables, and subjective comfort evaluation results were selected as dependent variables. According to multiple regression analysis, the comfort of the cushion increased when the left and right balance of the stiffness distribution was maintained even if the body pressure distribution of the hip area was concentrated on one side. According to the analysis results, the stiffness of hip area could be seen to have the greatest linear relationship with the overall satisfaction of comfort, in which comfort is planned to be confirmed by actual production of seats

Weight and Abdominal Girth Predict Tidal Volume Requirement During Mechanical Ventilation for General Anaesthesia: A Cross-sectional Study

2021 ◽  
Author(s):  
Ying-yan Shen ◽  
Yan Chen ◽  
Hong-mei Zhou ◽  
Qi Li
Keyword(s):  
Mechanical Ventilation ◽  
Regression Analysis ◽  
Linear Regression ◽  
Tidal Volume ◽  
General Anaesthesia ◽  
Linear Regression Analysis ◽  
Regression Equation ◽  
Chest Circumference ◽  
Abdominal Girth ◽  
Cross Sectional

Abstract Background: Evidence that tidal volume (TV) is related to age, height, weight, chest circumference, and abdominal girth exists. However, it is unclear which of these has the strongest association with TV. This study aimed to investigate the main factors associated with TV and determine a method for accurately predicting TV requirement during mechanical ventilation. Methods: From December 2019 to January 2021, we enrolled 133 patients who were scheduled for surgery. Their age, height, weight, abdominal girth, and chest circumference were recorded. Intraoperatively, at 30 minutes after mechanical ventilation during general anaesthesia, the TV was increased or decreased by 25 ml if the partial pressure of carbon dioxide (PaCO2) was > 45 mmHg or < 35 mmHg, respectively. This was continued until we observed two consecutive PaCO2 values between 35 and 45 mmHg. The TV setting was recorded at this point. Linear regression and multiple regression analyses were performed. Results: The data of 100 patients were analysed. Linear regression analysis showed significant univariate correlations between age, weight, height, abdominal girth, chest circumference, and TV requirement. (all P ≤ 0.049). Multiple linear regression analysis showed that weight and abdominal girth were key determinants of TV requirement (both P < 0.001). The adjusted R2 for the regression equation was 0.813. The regression equation for accurately predicting TV requirement was Y = 312 + 5.717X1 - 2.798X2 (Y, TV requirement; X1, weight; and X2, abdominal girth). Conclusion: TV requirement during mechanical ventilation for general anaesthesia can accurately be set based on weight and abdominal girth.

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