P692Chemoradiation therapy to patients with lung cancer exacerbates thoracic aortic calcification

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
T Miki ◽  
T Miyoshi ◽  
K Ichikawa ◽  
S Miyauchi ◽  
J Soh ◽  
...  
Keyword(s):  
Risk Factors ◽  
Lung Cancer ◽  
Cardiovascular Events ◽  
Multivariate Logistic Regression Analysis ◽  
Aortic Calcification ◽  
Control Group ◽  
Multivariate Logistic Regression ◽  
Annual Percent Change ◽  
Percent Change ◽  
Thoracic Aortic Calcification

Abstract Introduction Development of chemoradiation therapy (CRT) has improved mortality in patients with cancer. Whereas, it is emerging problem that cancer-survivors suffer from cardiovascular diseases, and the association between modern CRT and the increase in future cardiovascular events is suggested. Meanwhile, previous studies showed that thoracic aortic calcification (TAC) detected by computed tomography (CT), a marker of atherosclerosis, was associated with all-cause mortality and cardiovascular events. However, the influence of CRT on TAC progression remains unclear. Purpose The purpose of this study was to evaluate whether CRT would exacerbate TAC. Methods A total of 68 patients who treated lung cancer at our hospital between 2011 and 2015 were retrospectively analyzed (mean 62 year-old, male 78%): 35 patients underwent surgical treatment after induction CRT (CRT group) and 33 patients underwent surgical treatment alone (control group), extracted by propensity score matching by age, sex, smoking status, and diseased side. The volume of TAC between 2nd and 12th thoracic vertebrae was quantitatively measured with CT imaging, at baseline and at 1 year follow-up. The annual percent change in TAC was compared between the CRT and the control group. Moreover, the independent relationship between implementation of CRT and the progression of TAC was assessed by multivariate logistic regression analysis, adjusting for age, gender, conventional atherosclerotic risk factors and baseline aortic calcification volume. Results Patients in the CRT group received radiation (mean 47.3±4.0 Gy) and chemotherapy: 2 courses of cisplatin with docetaxel (34 cases) or vinorelbine (1 case). The prevalence of dyslipidemia, taking statins and diabetes drugs were significantly higher in the control groups (17% vs. 39%; p=0.041, 11% vs. 33%; p=0.029, 3% vs. 18%; p=0.044, respectively). Baseline C-reactive protein level was significantly higher in the CRT group (0.255 vs. 0.115; p=0.034). In univariate analysis, the annual percent change in TAC volume was significantly increased in the CRT group compared with the control group (37.6% vs. 23.3%; p=0.006). Multivariate logistic regression analysis demonstrated that CRT was an independent factor associated with the progression of TAC volume, even after adjustment for baseline calcification volume and coronary risk factors (OR, 3.90; 95% CI, 1.32–11.47; p=0.014). Conclusion CRT to patients with lung cancer exacerbates thoracic aortic calcification, which may result in future cardiovascular events.

scholarly journals Analysis of Risk Factors for Non-Union After Surgery for Limb Fractures: A Case-Control Study of 669 Subjects

2020 ◽  
Author(s):  
Qiang Xu ◽  
Bin Zhang ◽  
Min Dai ◽  
Xuqiang Liu
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Internal Fixation ◽  
Weight Bearing ◽  
Multivariate Logistic Regression Analysis ◽  
Control Group ◽  
Fracture Type ◽  
Multivariate Logistic Regression ◽  
Non Union ◽  
Limb Fractures

Abstract Objective: Although a large number of clinical and animal experimental studies have explored factors affecting fracture healing, there are only a few examples of systematic research on these factors for limb fractures. The purpose of this study was to analyse the risk factors for limb fracture non-union in order to improve non-union prevention and early detection.Methods: A total of 223 patients with non-union after surgery for limb fractures performed at our institution from January 2005 to June 2017 were included as the case group, while a computer-generated random list was created to select 446 patients with successful bone healing who were treated during the same period as the control group, thus achieving a ratio of 1:2. The medical records of these patients were reviewed retrospectively. Age, sex, body mass index, obesity, smoking, alcohol, diabetes, hypertension, osteoporosis, fracture type, multiple fractures, non-steroidal anti-inflammatory drugs (NSAIDs) use, delayed weight bearing, internal fixation failure, and infection data were analysed and compared between the two groups. A multivariate logistic regression model was constructed to determine relevant factors associated with non-union.Results: The multivariate logistic regression analysis revealed that osteoporosis, open fractures, NSAIDs use, delayed weight bearing, failed internal fixation, and infection were independent risk factors for non-union after surgery for limb fractures.Conclusions: Osteoporosis, open fracture type, NSAIDs use, delayed weight bearing, failed internal fixation, and infection were found to be the main causes of bone non-union; clinicians should, therefore, take targeted measures to intervene in high-risk groups early.

scholarly journals Prevalence and risk factors of depression and anxiety for inpatients with lung cancer in China: A hospital-based cross-sectional study

2022 ◽  
Author(s):  
Xueqian Wang ◽  
Xuejiao Ma ◽  
Mo Yang ◽  
Yan Wang ◽  
Yi Xie ◽  
...  
Keyword(s):  
Risk Factors ◽  
Lung Cancer ◽  
Logistic Regression ◽  
Risk Factor ◽  
Univariate Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression Model ◽  
Depression And Anxiety ◽  
Multivariate Logistic Regression ◽  
Cross Sectional

Abstract Background Lung cancer was often accompanied by depression and anxiety. Nowadays, most investigations for depression and anxiety were concentrated in western medical hospitals, while few related studies have been carried out in the tradition Chinese medicine (TCM) ward. It was necessary to understand the prevalence and risk factors of depression and anxiety in the inpatients with lung cancer in TCM hospital. Methods This study adopted cross-sectional research method, which enrolled a total of 222 inpatients with lung cancer in TCM hospital. PHQ-9 and GAD-7 scales were used to assess depression and anxiety for the inpatients, respectively. Demographic and clinical data were also collected. Statistical methods of the univariate analysis and the multivariate logistic regression model were used. Results The prevalence of depression and anxiety in the inpatients with lung cancer were 58.1% and 34.2%, respectively. Multivariate logistic regression analysis prompted that the common risk factor of depression and anxiety was the symptom of insomnia. Constipation and gender were the two anther risk factors of depression. Conclusion Depression and anxiety were common for the inpatients with lung cancer in TCM hospital. Gender, insomnia and constipation were risk factors for depression, and insomnia was risk factor for anxiety. Therefore, medical workers should pay close attention to the emotional changes of these high-risk patients and intervene the symptoms as early as possible.

scholarly journals Prognostic Analysis and Risk Factors Associated with Fetal Ventriculomegaly

2021 ◽  
pp. 1-9
Author(s):  
Qi-Ming Li ◽  
Hong-Zhan Liao ◽  
Wen-Bo Wang ◽  
Shi-Yi Zeng ◽  
Xian-Sheng Qiu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Multivariate Logistic Regression Analysis ◽  
Control Group ◽  
Width Ratio ◽  
Case Group ◽  
Multivariate Logistic Regression ◽  
Prognostic Analysis ◽  
Fetal Ventriculomegaly

<b><i>Background:</i></b> This study aimed to investigate the clinical outcome and related risk factors of fetal lateral ventriculomegaly (VM). <b><i>Methods:</i></b> A retrospective analysis was performed on 255 cases diagnosed as fetal VM. Prenatal imaging examination was carried out. The pregnancy outcomes were investigated through follow-up. According to the prognosis of children, they were divided into case group and control group. Multivariate logistic regression was used to analyze the factors influencing the prognosis of hydrocephalus. <b><i>Results:</i></b> After excluding the cases with either loss of follow-up or incomplete information, 102 cases were followed up. Twelve cases with poor prognosis were set as the case group. According to the maternal age, gestational age, gender of children, and follow-up time, 3 cases were selected from the other 90 cases for each child in the case group, respectively, and selected as the control group. Paired comparative analysis was performed on 48 cases. Using prognosis as a dependent variable, multivariate logistic regression analysis of the statistically significant factors indicated that the change speed of width ratio (CSWR) and maximum lateral ventricular width (MW) were associated with fetal prognosis. <b><i>Conclusions:</i></b> Our results suggested that CSWR and MW may have the value of predicting fetal prognosis.

scholarly journals The Relationship Between Genetic Variants Associated with Premature Menopause and Lipid Profile in Women Recruited from MASHAD Cohort Study

2021 ◽  
Author(s):  
Mohammad Reza Mirinezhad ◽  
Hamideh Ghazizadeh ◽  
Maliheh Aghsizadeh ◽  
Mohammad Zamiri Bidary ◽  
Alireza Naghipour ◽  
...  
Keyword(s):  
Risk Factors ◽  
Genetic Variants ◽  
Multivariate Logistic Regression Analysis ◽  
High Serum ◽  
Control Group ◽  
Premature Menopause ◽  
High Total Cholesterol ◽  
Multivariate Logistic Regression ◽  
The Relationship ◽  
Low Serum

Abstract Background and aim: Premature menopause (PM) is defined by the occurrence of the menopause before the age of 40 years. It is often associated with cardiovascular disease (CVD). The purpose of this study was to explore the relationship between PM-associated genotypes cardio metabolic disorder risk factors. Methods: One hundred seventeen women with PM and one hundred eighty-three healthy women without PM were recruited in this study. DNA was extracted and analyzed using ASO-PCR or Tetra ARMS-PCR. Lipid profiles were also assessed.Results: Multivariate logistic regression analysis showed that individuals with GG vs. TT genotype of the rs1046089 SNP were more likely to have high serum LDL risk (p = 0.03) compared to the control group. There was also a significant association between low serum HDL risk and rs2303369 and rs4806660 SNP genotypes in the PM group. In the PM group, the percentage of those with a high total cholesterol was lower in those with a CC genotype compared to those with a TT genotype (p = 0.03).Conclusion: Some SNPs reported to be associated with PM appear to be independently associated with dyslipidemia. These results may be helpful to identify subjects with PM who may be susceptible to CVD.

scholarly journals Risk Factors Associated With Failure of Initial Treatment for Cesarean Scar Pregnancy

2021 ◽  
Author(s):  
Lili Cao ◽  
Jinyu Yan ◽  
Yibo Tang ◽  
Nanyu Cao ◽  
Lili Huang
Keyword(s):  
Risk Factors ◽  
Initial Treatment ◽  
Multivariate Logistic Regression Analysis ◽  
Control Group ◽  
Failure Model ◽  
Multivariate Logistic Regression ◽  
Artery Embolization ◽  
Cesarean Scar Pregnancy ◽  
Factors Associated ◽  
Gestational Sac

Abstract This study aimed to provide reference for CSP treatment. It’s a cohort study. Ultrasound-guided evacuation, hysteroscopy-guided evacuation and uterine artery embolization were used during the initial treatment. The treatment methods failed in 77 of the CSP patients (study group). 1560 of the CSP patients were treated successfully (control group). Multivariate logistic regression analysis found that in model 1, distance between gestational sac and serosal layer (OR: 0.04, 95%CI: 0.00–0.82, p= 0.037) and fetal heartbeat (OR: 8.91, 95%CI: 3.81–20.81, p= 0.000) are risk factors for CSP initial treatment failure. Model 2 showed that gestational age (OR: 0.96, 95%CI: 0.92–1.00, p= 0.043) and fetal heartbeat (OR: 2.15, 95%CI: 1.02–4.52, p= 0.000) are the risk factors. Model 3 indicated that mean sac diameter (OR: 1.56, 95%CI: 1.21–2.01, p= 0.001), fetal heartbeat (OR: 4.75, 95%CI: 2.23–10.14, p= 0.000) and pretreated with UAE (OR: 5.05, 95%CI: 2.36–10.83, p= 0.000) are risk factors. In model 4, fetal heartbeat (OR: 2.87, 95%CI: 1.28–6.42, p= 0.010) and pretreated with UAE (OR: 4.24, 95%CI: 1.98–9.07, p= 0.000) are the risk factors. In conclusion, for CSP patients with different treatment, if the relevant risk factors exist, it should be more cautious.

scholarly journals Risk factors for tissue expander infection in scar reconstruction: a retrospective cohort study of 2374 consecutive cases

2020 ◽  
Vol 8 ◽  
Author(s):  
Chen Dong ◽  
Minhui Zhu ◽  
Luguang Huang ◽  
Wei Liu ◽  
Hengxin Liu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Treatment Failure ◽  
Logistic Regression Analysis ◽  
Disease Duration ◽  
Multivariate Logistic Regression Analysis ◽  
Tissue Expansion ◽  
Multivariate Logistic Regression ◽  
Hematoma Evacuation

Abstract Background Tissue expansion is used for scar reconstruction owing to its excellent clinical outcomes; however, the complications that emerge from tissue expansion hinder repair. Infection is considered a major complication of tissue expansion. This study aimed to analyze the perioperative risk factors for expander infection. Methods A large, retrospective, single-institution observational study was carried out over a 10-year period. The study enrolled consecutive patients who had undergone tissue expansion for scar reconstruction. Demographics, etiological data, expander-related characteristics and postoperative infection were assessed. Univariate and multivariate logistic regression analysis were performed to identify risk factors for expander infection. In addition, we conducted a sensitivity analysis for treatment failure caused by infection as an outcome. Results A total of 2374 expanders and 148 cases of expander infection were assessed. Treatment failure caused by infection occurred in 14 expanders. Multivariate logistic regression analysis identified that disease duration of ≤1 year (odds ratio (OR), 2.07; p &lt; 0.001), larger volume of expander (200–400 ml vs &lt;200 ml; OR, 1.74; p = 0.032; &gt;400 ml vs &lt;200 ml; OR, 1.76; p = 0.049), limb location (OR, 2.22; p = 0.023) and hematoma evacuation (OR, 2.17; p = 0.049) were associated with a high likelihood of expander infection. Disease duration of ≤1 year (OR, 3.88; p = 0.015) and hematoma evacuation (OR, 10.35; p = 0.001) were so related to high risk of treatment failure. Conclusions The rate of expander infection in patients undergoing scar reconstruction was 6.2%. Disease duration of &lt;1 year, expander volume of &gt;200 ml, limb location and postoperative hematoma evacuation were independent risk factors for expander infection.

Risk Factors for Aortic Valve Calcification in Patients on Regular Hemodialysis

2009 ◽  
Vol 32 (3) ◽  
pp. 173-179 ◽  
Author(s):  
Dejan Petrović ◽  
Radmila Obrenović ◽  
Biljana Stojimirović
Keyword(s):  
Risk Factors ◽  
Regression Analysis ◽  
Risk Factor ◽  
Aortic Valve ◽  
Independent Risk Factor ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression ◽  
Aortic Valve Calcification ◽  
Valve Calcification ◽  
Regular Hemodialysis

Introduction Aortic valve calcification (AVC) accelerates development of aortic valve stenosis and cardiovascular complications. Hyperphosphatemia is one of the key risk factors for aortic valve calcification. Aim The aim of this study was to evaluate the prevalence of AVC in patients on regular hemodialysis and to assess the impact of different factors on its appearance. Method: The study investigated a total of 115 patients treated in the Hemodialysis Department of the Urology and Nephrology Clinic at the Kragujevac Clinical Center in Serbia. The variables investigated were: serum albumin, C-reactive protein (CRP), homocysteine, total cholesterol, LDL-cholesterol (LDL-C), HDL-cholesterol (HDL-C), triglycerides (TG), Apolipoprotein A-I (Apo A-I), Apolipoprotein B (Apo B) and lipoprotein (a), calcium, phosphate and parathormone, and calcium-phosphorus product (Ca × P). Patients were evaluated by echocardiography for AVC. Statistical analysis included univariate and multivariate logistic regression analysis. Results Univariate regression analysis showed that serum phosphate levels and Ca × P are the most important risk factors for AVC (p<0.001). Multivariate logistic regression analysis revealed that hyperphosphatemia is an independent risk factor for AVC (p<0.001). Conclusion Hyperphosphatemia is an independent risk factor for aortic valve calcification.

scholarly journals Predictive risk factors for worse outcomes in COVID-19 patients with different clinical features at baseline

2021 ◽  
Author(s):  
Elisabetta Schiaroli ◽  
Anna Gidari ◽  
Giovanni Brachelente ◽  
Sabrina Bastianelli ◽  
Alfredo Villa ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Critical Illness ◽  
Serum Ferritin ◽  
Logistic Regression Analysis ◽  
Severe Disease ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression ◽  
Neutrophil Lymphocyte Ratio

IntroductionCOVID-19 is characterized by a wide range of clinical expression and by possible progression to critical illness and death. Therefore it is essential to identify risk factors predicting progression towards serious and fatal diseases. The aim of our study was to identify laboratory predictive markers of clinical progression in patients with moderate/severe disease and in those with acute respiratory distress syndrome (ARDS).Material and methodsUsing electronic medical records for all demographic, clinical and laboratory data, a retrospective study on all consecutive patients with COVID-19 admitted to the Infectious Disease Clinic of Perugia was performed. The PaO2/FiO2 ratio (P/F) assessment cut‑off of 200 mm Hg was used at baseline to categorize the patients into two clinical groups. The progression towards invasive ventilation and/or death was used to identify critical outcome. Statistical analysis was performed. Multivariate logistic regression analysis was adopted to identify risk factors of critical illness and mortality.ResultsIn multivariate logistic regression analysis neutrophil/lymphocyte ratio (NLR) was the only significant predictive factor of progression to a critical outcome (p = 0.03) and of in-hospital mortality (p = 0.03). In ARDS patients no factors were associated with critical progression. Serum ferritin > 1006 ng/ml was the only predictive value of critical outcome in COVID-19 subjects with moderate/severe disease (p = 0.02).ConclusionsNeutrophil/lymphocyte ratio and serum ferritin are the only biomarkers that can help to stratify the risk of severity and mortality in patients with COVID-19.

scholarly journals Risk Factors and Outcomes of Hospital Acquired Pneumonia in Young Bangladeshi Children

Life ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 1030
Author(s):  
Abu Sadat Mohammad Sayeem Bin Shahid ◽  
Tahmina Alam ◽  
Lubaba Shahrin ◽  
K. M. Shahunja ◽  
Md. Tanveer Faruk ◽  
...  
Keyword(s):  
Risk Factors ◽  
Severe Acute Malnutrition ◽  
Multivariate Logistic Regression Analysis ◽  
Acute Malnutrition ◽  
Persistent Diarrhea ◽  
Multivariate Logistic Regression ◽  
Resource Limited ◽  
Hospital Acquired Pneumonia ◽  
Independent Risk Factors ◽  
Hospital Acquired

Hospital acquired pneumonia (HAP) is common and often associated with high mortality in children aged five or less. We sought to evaluate the risk factors and outcome of HAP in such children. We compared demographic, clinical, and laboratory characteristics in children <5 years using a case control design during the period of August 2013 and December 2017, where children with HAP were constituted as cases (n = 281) and twice as many randomly selected children without HAP were constituted as controls (n = 562). HAP was defined as a child developing a new episode of pneumonia both clinically and radiologically after at least 48 h of hospitalization. A total of 4101 children were treated during the study period. The mortality was significantly higher among the cases than the controls (8% vs. 4%, p = 0.014). In multivariate logistic regression analysis, after adjusting for potential confounders, it was found that persistent diarrhea (95% CI = 1.32–5.79; p = 0.007), severe acute malnutrition (95% CI = 1.46–3.27; p < 0.001), bacteremia (95% CI = 1.16–3.49; p = 0.013), and prolonged hospitalization of >5 days (95% CI = 3.01–8.02; p < 0.001) were identified as independent risk factors for HAP. Early identification of these risk factors and their prompt management may help to reduce HAP-related fatal consequences, especially in resource limited settings.

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