• Title/Summary/Keyword: Median regression model

Search Result 117, Processing Time 0.028 seconds

The Concentrations of PCBs in the Serum and Theri Predictors of Exposure n Korean Women (일부 한국 성인 여성들의 혈중 PCBs 농도 및 그 노출요인의 연구)

  • 민선영;정문호;이강숙;노영만;구정환
    • Journal of Environmental Health Sciences
    • /
    • v.26 no.2
    • /
    • pp.97-107
    • /
    • 2000
  • PCBs [Polychlorinated biphenyls] are halogenated aromatic compounds with the empirical formula C12H10-nCln(n=1~10), and are a mixture of possible 209 different chlorinated congeners. PCBs were widely used as dielectric fluids for capacitors, transformers, plasticizers, lubricant inks, and paint additives. once released into the environment, PCBs persist for years because they are so resistant to degradation. In addition to their high degree of lipophilicity. In 1970s, the worldwide production of PCBs seem to be still in use. The environmental load of PCBs was prohibited since 1983 in Korea. In spite of these actions, many PCBs seem to be still in use. The environmental load of PCBs will continue to be recycled through air, land, water, and the biosphere for decades to come. This study was conducted to measure the concentrations of PCBs I the serum samples of 112 women by GC/MSD(Hewlett Packard 5897 Gas Chromatography-Mass Chromatography Detector) and CG/ECD(Hewlett Packard 5890 series-II gas chromatography-Electron capture detector, U.S.A). The main results of this study were as follows; The mean and standard deviation of serum PCBs were 3.613, 0.759 ppb, respectively and median of it was 3.828 ppb. The correlation coefficients of the concentrations of 13 PCB congeners ranged from 0.7913 to 0..9985 and were significantly correlated between each items(p=0.0001). The PCB concentrations were positively associated with age(simple linear regression; R2=0.86, =0.08023, p<0.001) and with total lipids in serums(simple linear regression; R=0.7058, =0.00486, p<0.001). The age adjusted model (Y=$\beta$0+$\beta$1age+$\beta$2X) was applied for possible predictors of PCBs levels in serum. For BMI(Body Mass Index), major residential area, and fish, meat, and dairy consumption, there was no association with PCBs levels, Also there was negative association for the number of pregnancy and lactation period with PCBs levels.

  • PDF

A Study on Characteristic for a Maximum Utilization Factor of Transformer with Regard to Load Characteristics in General Customers (일반용전력사용고객 용도별 부하특성을 고려한 변압기최대이용률 비교 특성 연구)

  • Kim, Se-Dong;Wang, Yong-Peel;Hong, Hyun-Mun
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
    • /
    • v.23 no.12
    • /
    • pp.217-223
    • /
    • 2009
  • This paper shows a reasonable contract power conversion factor, that was made by the systematic and statistical way considering actual conditions, such as investigated contract power and peak power for the last 5 years of each customer for 461 general customers as to AMR. In this dissertation, it is necessary to analyze the key features and general trend from the investigated data. It made an analysis of the feature parameters, such as average, standard deviation, median, maximum, minimun and thus it was carried by the linear and nonlinear regression analysis. Therefore, this paper compared characteristics for a contract power conversion factor which is applied to estimate contract power with characteristics for a regression model for customers(office, store, hotel, hospital, wedding hall) which maximum utilization factor of transformer is more than 60[%].

A Study on Characteristics for a Contract Power Conversion Factor and Analysis of a Maximum Utilization Factor of Transformer in Industrial Customers (산업용전력사용고객의 변압기최대이용률과 계약전력환산율에 관한 연구)

  • Kim, Se-Dong;Yoo, Sang-Bong
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
    • /
    • v.22 no.6
    • /
    • pp.44-49
    • /
    • 2008
  • Contract power conversion factor which is applied to estimate contract power of industrial customers is an important standard to caculate transformer capacity. This paper shows a reasonable contract power conversion factor, that was made by the systematic and statistical way considering actual conditions, such as investigated contact power and peak power for the last 5 years of each customer for 349 industrial customers as to AMR. In this dissertation, it is necessary to analyze the key features and general trend from the investigated data. It made an analysis of the feature parameters, such as average, standard deviation, median, maximum, minimun and thus it was carried by the linear and nonlinear regression analysis. Therefore, this paper compared characteristics for a contract power conversion factor which is a lied to calculate contract power with characteristics for a regression model for customers which maximum utilization factor of transformer is more than 60(%).

A Study on Characteristics for a Contract Power Conversion Factor and Analysis of a Maximum Utilization Factor of Transformer in General Customers (일반용전력사용고객의 변압기최대이용률과 계약전력환산율 기준과의 비교 특성 연구)

  • Kim, Se-Dong;Wang, Yong-Peel
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
    • /
    • v.22 no.5
    • /
    • pp.80-85
    • /
    • 2008
  • Contract power conversion factor which is applied to estimate contract power of general customers is an important standard to caculate transformer capacity. This paper shows a reasonable contract power conversion factor, that was made by the systematic and statistical way considering actual conditions, such as investigated contract power and peak power for the last 5 years of each customer for 461 general customers as to AMR. In this dissertation, it is necessary to analyze the key features and general trend from the investigated data It made an analysis of the feature parameters, such as average, standard deviation, median, maximum, minimun and thus it was carried by the linear and nonlinear regression analysis. Therefore, this paper compared characteristics for a contract power conversion factor which is applied to estimate contract power with characteristics for a regression model for customers which maximum utilization factor of transformer is more than 60[%].

Prognostic Factors for Overall Survival in Patients With Metastatic Colorectal Carcinoma Treated With Vascular Endothelial Growth Factor-Targeting Agents

  • Cetin, Bulent;Kaplan, Mehmet Ali;Berk, Veli;Ozturk, Selcuk Cemil;Benekli, Mustafa;Isikdogan, Abdurrahman;Ozkan, Metin;Coskun, Ugur;Buyukberber, Suleyman
    • Asian Pacific Journal of Cancer Prevention
    • /
    • v.13 no.3
    • /
    • pp.1059-1063
    • /
    • 2012
  • Objective: Angiogenesis represents a key element in the pathogenesis of malignancy. There are no robust data on prognostic factors for overall survival (OS) in patients with metastatic colorectal cancer treated with vascular endothelial growth factor (VEGF)-targeted therapy. The present study was conducted to establish a prognostic model for patients using an oxaliplatin-based or irinotecan-based chemotherapy plus bevacizumab in metastatic colorectal cancer. Methods: Baseline characteristics and outcomes on 170 patients treated with FOLFIRI or XELOX plus anti-VEGF therapy-naive metastatic colorectal cancer were collected from three Turkey cancer centers. Cox proportional hazards regression was used to identify independent prognostic factors for OS. Results: The median OS for the whole cohort was 19 months (95% CI, 14.3 to 23.6 months). Three of the seven adverse prognostic factors according to the Anatolian Society of Medical Oncology (ASMO) were independent predictors of short survival: serum lactate dehydrogenase (LDH) greater than the upper limit of normal (ULN; p<0.001); neutrophils greater than the ULN (p<0.0014); and progression free survival (PFS) less than 6 months (p =0.001). Conclusion: Serum LDH and neutrophil levels were the main prognostic factors in predicting survival, followed by PFS. This model validates incorporation of components of the ASMO model into patient care and clinical trials that use VEGF-targeting agents.

Model Determination of Delayed Causes of Analgesics Prescription in the Emergency Ward in Arak, Iran

  • Cyrus, Ali;Moghimi, Mehrdad;Jokar, Abolfazle;Rafeie, Mohammad;Moradi, Ali;Ghasemi, Parisa;Shahamat, Hanieh;Kabir, Ali
    • The Korean Journal of Pain
    • /
    • v.27 no.2
    • /
    • pp.152-161
    • /
    • 2014
  • Background: According to the reports of the World Health Organization 20% of world population suffer from pain and 33% of them suffer to some extent that they cannot live independently. Methods: This is a cross-sectional study which was conducted in the emergency department (ED) of Valiasr Hospital of Arak, Iran, in order to determine the causes of delay in prescription of analgesics and to construct a model for prediction of circumstances that aggravate oligoanalgesia. Data were collected during a period of 7 days. Results: Totally, 952 patients participated in this study. In order to reduce their pain intensity, 392 patients (42%) were treated. Physicians and nurses recorded the intensity of pain for 66.3% and 41.37% of patients, respectively. The mean (SD) of pain intensity according to visual analogue scale (VAS) was 8.7 (1.5) which reached to 4.4 (2.3) thirty minutes after analgesics prescription. Median and mean (SD) of delay time in injection of analgesics after the physician's order were 60.0 and 45.6 (63.35) minutes, respectively. The linear regression model suggested that when the attending physician was male or intern and patient was from rural areas the delay was longer. Conclusions: We propose further studies about analgesics administration based on medical guidelines in the shortest possible time and also to train physicians and nurses about pain assessment methods and analgesic prescription.

CT-Based Fagotti Scoring System for Non-Invasive Prediction of Cytoreduction Surgery Outcome in Patients with Advanced Ovarian Cancer

  • Na Young Kim;Dae Chul Jung;Jung Yun Lee;Kyung Hwa Han;Young Taik Oh
    • Korean Journal of Radiology
    • /
    • v.22 no.9
    • /
    • pp.1481-1489
    • /
    • 2021
  • Objective: To construct a CT-based Fagotti scoring system by analyzing the correlations between laparoscopic findings and CT features in patients with advanced ovarian cancer. Materials and Methods: This retrospective cohort study included patients diagnosed with stage III/IV ovarian cancer who underwent diagnostic laparoscopy and debulking surgery between January 2010 and June 2018. Two radiologists independently reviewed preoperative CT scans and assessed ten CT features known as predictors of suboptimal cytoreduction. Correlation analysis between ten CT features and seven laparoscopic parameters based on the Fagotti scoring system was performed using Spearman's correlation. Variable selection and model construction were performed by logistic regression with the least absolute shrinkage and selection operator method using a predictive index value (PIV) ≥ 8 as an indicator of suboptimal cytoreduction. The final CT-based scoring system was internally validated using 5-fold cross-validation. Results: A total of 157 patients (median age, 56 years; range, 27-79 years) were evaluated. Among 120 (76.4%) patients with a PIV ≥ 8, 105 patients received neoadjuvant chemotherapy followed by interval debulking surgery, and the optimal cytoreduction rate was 90.5% (95 of 105). Among 37 (23.6%) patients with PIV < 8, 29 patients underwent primary debulking surgery, and the optimal cytoreduction rate was 93.1% (27 of 29). CT features showing significant correlations with PIV ≥ 8 were mesenteric involvement, gastro-transverse mesocolon-splenic space involvement, diaphragmatic involvement, and para-aortic lymphadenopathy. The area under the receiver operating curve of the final model for prediction of PIV ≥ 8 was 0.72 (95% confidence interval: 0.62-0.82). Conclusion: Central tumor burden and upper abdominal spread features on preoperative CT were identified as distinct predictive factors for high PIV on diagnostic laparoscopy. The CT-based PIV prediction model might be useful for patient stratification before cytoreduction surgery for advanced ovarian cancer.

Prediction of Venous Trans-Stenotic Pressure Gradient Using Shape Features Derived From Magnetic Resonance Venography in Idiopathic Intracranial Hypertension Patients

  • Chao Ma;Haoyu Zhu;Shikai Liang;Yuzhou Chang;Dapeng Mo;Chuhan Jiang;Yupeng Zhang
    • Korean Journal of Radiology
    • /
    • v.25 no.1
    • /
    • pp.74-85
    • /
    • 2024
  • Objective: Idiopathic intracranial hypertension (IIH) is a condition of unknown etiology associated with venous sinus stenosis. This study aimed to develop a magnetic resonance venography (MRV)-based radiomics model for predicting a high trans-stenotic pressure gradient (TPG) in IIH patients diagnosed with venous sinus stenosis. Materials and Methods: This retrospective study included 105 IIH patients (median age [interquartile range], 35 years [27-42 years]; female:male, 82:23) who underwent MRV and catheter venography complemented by venous manometry. Contrast enhanced-MRV was conducted under 1.5 Tesla system, and the images were reconstructed using a standard algorithm. Shape features were derived from MRV images via the PyRadiomics package and selected by utilizing the least absolute shrinkage and selection operator (LASSO) method. A radiomics score for predicting high TPG (≥ 8 mmHg) in IIH patients was formulated using multivariable logistic regression; its discrimination performance was assessed using the area under the receiver operating characteristic curve (AUROC). A nomogram was constructed by incorporating the radiomics scores and clinical features. Results: Data from 105 patients were randomly divided into two distinct datasets for model training (n = 73; 50 and 23 with and without high TPG, respectively) and testing (n = 32; 22 and 10 with and without high TPG, respectively). Three informative shape features were identified in the training datasets: least axis length, sphericity, and maximum three-dimensional diameter. The radiomics score for predicting high TPG in IIH patients demonstrated an AUROC of 0.906 (95% confidence interval, 0.836-0.976) in the training dataset and 0.877 (95% confidence interval, 0.755-0.999) in the test dataset. The nomogram showed good calibration. Conclusion: Our study presents the feasibility of a novel model for predicting high TPG in IIH patients using radiomics analysis of noninvasive MRV-based shape features. This information may aid clinicians in identifying patients who may benefit from stenting.

Sequential Chemotherapy and Radiation Therapy for Advanced Nasopharyngeal Carcinoma (진행된 비인강암의 화학요법 및 방사선 치료)

  • Park, In-Kyu;Kim, Song-Bo;Yun, Sang-Mo;Kim, Jae-Cheol;Park, Jun-Sik
    • Radiation Oncology Journal
    • /
    • v.11 no.2
    • /
    • pp.259-265
    • /
    • 1993
  • Between January 1985 and July 1992, 52 patients with locally advanced nasopharyngeal carcinoma were studied retrospectively for the effectiveness of sequential chemotherapy and radiation therapy. The male to female ratio was 3.3:1 with a median age of 41 years. Forty patients had squamous cell carcinoma and the remaining 12 had undifferentiated carcinoma. Seven patients had stage III disease and the remainder had stage IV disease at time of presentation. All patients were treated two courses of chemotherapy followed by radiation therapy. Chemotherapy consisted of either CVB (cisplatin, vincristine and bleomycin) or CF (cisplatin and 5-FU). Total radiation dose to the primary site ranged from 6000 cGy to 7500 cGy. Neck nodes were given booster treatment to maximum of 7000 cGy, depending on the extent of disease. Local control, overall survival and disease-free survival rates were analyzed. The complete response (CR) rate to chemotherapy was $15\%$ and the partial response (PR) rate was $46\%,$ for overall major response rate of $61\%.$ The CR rate was $87\%$ after radiation therapy. Median follow-up time was 51 months. The overall survival and disease-free survival rates at 36 months were $54\%\;and\;49\%,$ respectively. Median time to relapse was 15 months. The patterns of initial relapse in CR patients was as follows: locoregional failure only, 12 patients; distant metastasis only,11: both,2. Cox's multivariate regression model revealed that nodal status was the single most important independant prognostic factor influencing disease-free survival (p=0.001). Comparision of these results with other published reports with radiation therapy alone showed that a high rate of initial response to chemotherapy did not translate into local control or survival. At present time radiation therapy alone remains the standard treatment for locoregional cancer of the nasopharyngeal cancer. More controlled clinical trials must be completed before acceptance of chemotherapy as a part of treatment of advanced nasopharyngeal carcinoma.

  • PDF

A Study on the Characteristic of Airborne Lead Particle Size by Industry (업종별 공기중 납입자의 입경별 분포특성에 관한 조사 연구)

  • Park, Dong Wook;Paik, Nam Won
    • Journal of Korean Society of Occupational and Environmental Hygiene
    • /
    • v.5 no.2
    • /
    • pp.160-171
    • /
    • 1995
  • The size characteristics of lead particle which is one of the important factors associated with absorption of lead were ignored in establishing lead standard. This study was conducted to investigate distribution of lead particles by operation of industry. Aerodynamic Mass Median Diameters (MMD) of airborne lead particles in the battery and litharge manufacturing industry were $14.1{\mu}m$ and $15.1{\mu}m$, respectively. There was no significant difference between those two values(p>0.05). However, the diameters in radiator manufacturing and secondary smelting industry were $1.3{\mu}m$, $4.9{\mu}m$, respectively. Those were significantly smaller than the particle sizes in other industries(p<0.05). Total lead concentrations in the secondary smelting industry were higher than those in the battery and litharge manufacturing industry. Total lead concentrations in other industries except radiator manufacturing industry exceeded the standard of $50{\mu}g/m^3$. Only radiator manufacturing industry indicated lead concentrations significantly lower than those in other industries(p<0.05). Concentrations of lead particles smaller than $1{\mu}m$ defined as respirable fraction by OSHA's CPA model assumption were $72.4{\mu}g/m^3$ in the secondary smelting industry, exceeding $50{\mu}g/m^3$. The relationship of concentrations between total lead and lead of particles smaller than $1{\mu}m$ was log Y = 0.46 logX + 0.06(n=119, $r^2=0.44$, p=0.0001). Relationship of respirable lead concentrations between OSHA and ACGIH was significantly detected in the litharge and battery manufacturing industry(p=0.0001), but was not significant in the radiator(p=0.2720) and secondary smelting manufacturing industry(p=0.2394). As MMDs of lead particles generated in industry were small, difference of respirable lead concentration between OSHA and ACGIH became smaller. There was a significant difference between concentrations respirable lead defined by two organizations such as OSHA and ACGIH in the battery and litharge manufacturing industry. Average concentration of respirable lead by ACGIH definition was 43.3 % of total lead in secondary smelting and 48.9 % in radiator manufacturing industry, and lower fractions were indicated in battery and litharge manufacturing industry. Relationships of total lead with IPM, TPM, and RPM were significant respectively(p=0.0001) and lead concentrations by particle size could be estimated using this relationship. Linear regression equation between total lead concentration(X) and ACGIH-RPM concentration(Y) was log Y = 0.76 log X - 0.40($r^2=0.89$, p=0.0001).

  • PDF