scholarly journals Serum markers change for intraocular metastasis in renal cell carcinoma

2021 ◽  
Author(s):  
Tie Sun ◽  
Jing Tang ◽  
Yi-Cong Pan ◽  
Chen-Yu Yu ◽  
Biao Li ◽  
...  
Keyword(s):  
Risk Factors ◽  
Renal Cell Carcinoma ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Risk Factor ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Analysis ◽  
Intraocular Metastasis

Objective: Intraocular metastasis(IOM) of renal cell carcinoma is rare. In this study, we studied the relationship between different biochemical indicators and the occurrence of IOM in renal cancer patients, and identified the potential risk factors. Methods: A retrospective analysis of the clinical data of 214 patients with renal cell carcinoma from October 2001 to August 2016. Analyze the difference and correlation of various indicators between the two groups with or without IOM, and use binary logistic regression analysis to explore the risk factors of IOM in renal cancer patients. Calculate the diagnostic value of each independent related factor according to the receiver operating curve (ROC). Results: The level of neuron specific enolase （NSE） in renal cell carcinoma patients with IOM was significantly higher than that in patients without IOM (P < 0.05). There was no significant difference in ALP, Hb, serum calcium concentration, AFP, CEA, CA-125 etc. between IOM group and non-intraocular metastasis (NIOM) group (P > 0.05). Binary logistic regression analysis showed that NSE was an independent risk factor for IOM in renal cell carcinoma patients (P < 0.05). ROC curve shows that the factor has high accuracy in predicting IOM, and the area under the curve is 0.774. The cut-off value of NSE was 49.5U/L, the sensitivity was 72.2%, and the specificity was 80.1%. Conclusion：NSE concentration is a risk factor for IOM in patients with renal cell cancer. If the concentration of NSE in the patient's body is ≥49.5U/L, disease monitoring and eye scans should be strengthened.

scholarly journals Changes in Cognitive Function and Risk Factors for Cognitive Impairment of the Elderly in China: 2005–2014

2019 ◽  
Vol 16 (16) ◽  
pp. 2847 ◽  
Author(s):  
Qilin Zhang ◽  
Yanli Wu ◽  
Tiankuo Han ◽  
Erpeng Liu
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Cognitive Impairment ◽  
Cognitive Function ◽  
Logistic Regression Analysis ◽  
Binary Logistic Regression ◽  
The Elderly ◽  
Binary Logistic Regression Analysis ◽  
Chinese Elderly

Background: The cognitive function of the elderly has become a focus of public health research. Little is known about the changes of cognitive function and the risk factors for cognitive impairment in the Chinese elderly; thus, the purposes of this study are as follows: (1) to describe changes in cognitive function in the Chinese elderly from 2005–2014 and (2) to explore risk factors for cognitive impairment of the Chinese elderly. Design and setting: A total of 2603 participants aged 64 years and above participated in the Chinese Longitudinal Healthy Longevity Survey (CLHLS) and were followed up from 2005 to 2014. Cognitive function and cognitive impairment were assessed using the Chinese version of the Mini-Mental State Examination (MMSE). Binary logistic regression analysis was used to estimate the odds ratio (OR) and 95% confidence intervals (CI) of cognitive impairment. Results: Results revealed that the cognitive function of the Chinese elderly shows diversified changes: deterioration (55.09%), unchanged (17.21%) and improvement (27.70%). In addition, there are significant demographic differences in gender, age, education, marriage and other aspects when it comes to the changes of cognitive function in Chinese elderly. In the binary logistic regression analysis, female, increased age, lower education level, no spouse, less income, worse PWB (psychological well-being), less fresh fruit and vegetable intake, more activities of daily living (ADL) limitations, lower social engagement were significantly associated with higher odds for cognitive impairment. Conclusions: Various interventions should be implemented to maintain cognitive function in Chinese elderly.

scholarly journals Brain Metastases in Lung Cancer Patients: Clinical Potential Risk Factors of CYFRA21-1 and CEA

2021 ◽  
Author(s):  
Jing Tang ◽  
Tie Sun ◽  
Qian-Min Ge ◽  
Rong-Bin Liang ◽  
Ting Su ◽  
...  
Keyword(s):  
Risk Factors ◽  
Lung Cancer ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Brain Metastasis ◽  
Brain Metastases ◽  
Cancer Patients ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Analysis ◽  
Lung Cancer Patients

Abstract Background At present, little is known about the specific risk factors of brain metastasis in patients with lung cancer. This study aims to explore the risk factors of brain metastasis. Methods From April 1999 to July 2017, a total of 1,615 lung cancer patients were included in this retrospective study. The patients were divided into two groups, namely brain metastasis group and non-brain metastasis group. Student's t test, non-parametric rank sum test and chi-square test were used to describe whether there is a significant difference between the two groups. We compared the serum biomarkers of the two groups of patients, including alkaline phosphatase (ALP), Calcium, calcium hemoglobin (HB), alpha fetoprotein (AFP), cancer embryonic antigen (CEA), CA-125, CA-199, CA- 153, CA-724, cytokeratin fragment 19 (CYFRA 21 − 1), total prostate specific antigen (TPSA), squamous cell carcinoma antigen (SCC-Ag) ,and neuron specific enolase (NSE). Binary logistic regression analysis was used to determine its risk factors, and receiver operating curve (ROC) analysis was used to evaluate its diagnostic value for brain metastases in patients with lung cancer. Results In the analysis of brain metastases in patients with lung cancer, binary logistic regression analysis showed that CYFRA21-1 and CEA are independent risk factors for brain metastases in patients with lung cancer (both P < 0.001). The sensitivity and specificity of diagnosing brain metastasis were CYFRA21-1, 38.0% and 87.4%, respectively; CEA was 39.7% and 79.3%, respectively. Conclusion Serum CYFRA21-1 and CEA have predictive value in the diagnosis of brain metastases in patients with lung cancer.

scholarly journals Asphyxia and Neonatal Respiratory Distress Syndrome Are Independent Predictors of the Non-response to Inhaled Nitric Oxide in the Newborns With PPHN

2021 ◽  
Vol 9 ◽  
Author(s):  
Yuwei Zhao ◽  
Lei Liang ◽  
Guanghui Liu ◽  
Hong Zheng ◽  
Liying Dai ◽  
...  
Keyword(s):  
Nitric Oxide ◽  
Risk Factors ◽  
Pulmonary Hypertension ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Distress Syndrome ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Analysis ◽  
Neonatal Respiratory Distress ◽  
Independent Risk Factors

Aim: Not all the neonates respond with improvement in oxygenation following inhaled nitric oxide treatment (iNO) treatment. The aim of this study was to assess the independent risk factors associated with non-response to iNO during the 2 weeks of postnatal treatment in neonates diagnosed with persistent pulmonary hypertension (PPHN).Materials and Methods: This retrospective cohort study included all newborns with PPHN who received iNO treatment for more than 24 h. Demographic, obstetric, perinatal data and clinical complications were extracted from the hospitalization records. Subjects were divided into two groups according to their response to iNO inspiration during the first 24 h of iNO treatment. No response was defined as an increase in SpO2 &lt; 5% or the inability to sustain saturation levels in the first 24 h of iNO treatment. For descriptive statistics, χ2 and t-test analysis were used to compare categorical and continuous variables between the two groups. To evaluate independent risk factors of non-responsiveness to iNO treatment, binary logistic regression analysis were performed.Results: A total of 75 newborns were included in the study. Sixty-two cases were in the responders group, and 13 cases were in the non-responders group. Univariate analysis showed that asphyxia, neonatal respiratory distress syndrome (NRDS), pulmonary surfactant administration, meconium aspiration syndrome (MAS), the severity of pulmonary hypertension (PH), and high-frequency oscillatory ventilation (HFOV) therapy were the high-risk factors affecting the response to iNO treatment in the newborns with PPHN. The binary logistic regression analysis indicated that asphyxia and NRDS incidence were independent predictors of non-responsiveness to iNO treatment [asphyxia: OR 4.193, 95% CI 1.104–15.927, P = 0.035; NRDS: OR 0.154, 95% CI 0.036–0.647, P = 0.011]. The patients in the non-responders group had shorter iNO inspiration followed by MV duration, supplemental oxygen and hospital stay, and higher mortality. There were no significant differences in IVH, PVL, and BPD between two groups.Conclusion: In the newborns with PPHN, asphyxia and NRDS resulted as the independent risk factors of non-responsiveness to iNO therapy. Asphyxia in the newborns with PPHN is detrimental to the response to iNO treatment, while NRDS is beneficial.

scholarly journals Validation of the GRade, Age, Nodes and Tumor (GRANT) score within the Surveillance Epidemiology and End Results (SEER) database: A new tool to predict survival in surgically treated renal cell carcinoma patients

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Sebastiano Buti ◽  
Pierre I. Karakiewicz ◽  
Melissa Bersanelli ◽  
Umberto Capitanio ◽  
Zhe Tian ◽  
...  
Keyword(s):  
Risk Factors ◽  
Renal Cell Carcinoma ◽  
Risk Factor ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Clear Cell ◽  
Risk Group ◽  
Seer Database ◽  
Papillary Rcc ◽  
Group Stratification

Abstract The purpose of the present study was to validate the new GRade, Age, Nodes and Tumor (GRANT) score for renal cell carcinoma (RCC) prognostication within a large population of patients. Within the Surveillance, Epidemiology, and End Results database, we identified patients with either clear-cell or papillary RCC, who underwent nephrectomy between 2001 and 2015. Harrell’s C-Index, calibration plot and decision curve analysis were used to validate the GRANT model using a five-risk group stratification (0 vs. 1 vs. 2 vs. 3 vs. 4 risk factors). The primary endpoint was overall survival (OS) at 60 months. The analyses were repeated according to the histologic subgroup. The overall population included 73217 cases; 60900 with clear-cell RCC and 12317 with papillary histology, respectively. According to a five-risk group stratification, 23985 patients (32.8%) had no risk factor (0), 35019 (47.8%) had only one risk factor (1), 13275 (18.1%) had risk score 2, 854 (1.2%) had 3 risk factors and 84 (0.1%) of cases had a GRANT score of 4, respectively. At 60 months, OS rates as determined by the GRANT score were respectively 94% (score 0) vs. 86% (score 1) vs. 76% (score 2) vs. 46% (score 3) vs. 16% (score 4). In both histologic subtypes, the GRANT score yielded good calibration and high net benefit. OS C-Index values were 0.677 and 0.650 for clear-cell and papillary RCC at 60 months after surgery, respectively. In conclusion, the GRANT score was validated with a five-risk group stratification in a huge population from the SEER database, offering a further demonstration of its reliability for prognostication in RCC.

scholarly journals High Prevalence of Post-stroke Anxiety in Elderly Patients Following COVID-19 Outbreak

2021 ◽  
Vol 12 ◽  
Author(s):  
Meiling Yao ◽  
Hongjie Li ◽  
Ying Luo ◽  
Ling Li ◽  
Jian Yu
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Ischemic Stroke ◽  
Elderly Patients ◽  
Binary Logistic Regression ◽  
Female Gender ◽  
Binary Logistic Regression Analysis ◽  
Independent Risk Factors ◽  
Cutoff Threshold

Objective: Post-stroke anxiety (PSA) is a common affective disorder in patients with ischemic stroke. The elderly are more susceptible to mental health issues, however, few studies have so far focused on PSA in elderly patients, especially in the context of the COVID-19, causing psychological issues in the general population. The aim of the present study was to assess the prevalence and risk factors of PSA in elderly patients following COVID-19 outbreak.Methods: We retrospectively analyzed 206 elderly inpatients with newly diagnosed acute ischemic stroke in the First Affiliated Hospital, Sun Yat-sen University, from January 2020 to December 2020. Patients were categorized into the PSA group and the non-PSA group based on Hamilton Anxiety Scale scores at admission (within 1 week after stroke onset). Demographic and clinical data, mental state by Mini-Mental State Examination, depression by Hamilton Depression Scales (HAMD), and stroke severity and outcome by National Institutes of Health Stroke Scale (NIHSS) and modified Rankin Scale were compared between the two groups. Univariate analysis and binary logistic regression analysis were used to analyze risk factors associated with PSA. We determined the cutoff scores for significant predictors of PSA using the area under the curve (AUC) and receiver operating characteristic.Results: Of the 206 stroke patients, 62 (30.1%) developed anxiety. Binary logistic regression analysis showed that female gender [adjusted odds ratio (aOR): 2.288, 95% confidence interval (CI):1.021–5.128, P = 0.044], high NIHSS scores [aOR: 1.264, 95% CI: 1.074–1.486, P = 0.005] and HAMD scores [aOR: 1.345, 95% CI: 1.215–1.490, P &lt; 0.001] were independent risk factors for PSA. The cutoff threshold for the NIHSS scores was 3.5 points with an AUC of 0.64 and the cutoff threshold for HAMD scores was 5.5 points with an AUC of 0.89.Conclusion: Our results showed a high incidence of PSA in elderly patients after the COVID-19 outbreak. Female gender, high NIHSS and HAMD scores were the independent risk factors for PSA.

scholarly journals Effects of Non-intubated Video-Assisted Thoracic Surgery on Patients With Pulmonary Dysfunction

2022 ◽  
Vol 8 ◽  
Author(s):  
Shiyu Deng ◽  
Yanyi Cen ◽  
Long Jiang ◽  
Lan Lan
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Thoracic Surgery ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Analysis ◽  
Pulmonary Dysfunction ◽  
Video Assisted Thoracic Surgery ◽  
Video Assisted ◽  
Different Types

Background: Non-intubated video-assisted thoracic surgery (NIVATS) can be safely performed in lung volume reduction surgery for patients with severe pulmonary dysfunction. However, there is still no cohort observation on the effects of NIVATS on patients with pulmonary dysfunction undergoing different types of thoracic procedures. This retrospective study aimed to observe the effects of NIVATS for this kind of patients.Methods: Three hundred and twenty-eight patients with moderate to severe obstructive pulmonary dysfunction, who underwent video-assisted thoracic surgery (VATS), were retrospectively collected from June 1st, 2017 to September 30th, 2019. Patients in NIVATS were case-matched with those in intubated video-assisted thoracic surgery (IVATS) by a propensity score-matched analysis. The primary outcome was the comparison of perioperative values, the secondary outcome was the risk factors for postoperative clinical complications (PCP) which were identified by binary logistic regression analysis.Results: After being matched, there were no differences in demographics and preoperative values of pulmonary function between NIVATS and IVATS groups. The duration of surgery and anesthesia had no difference (P = 0.091 and P = 0.467). As for the postoperative recovery, except for the mean intensive care unit (ICU) stay was longer in the IVATS group than in the NIVATS group (P = 0.015), the chest tube removal time and the postoperative hospital stay had no difference (P = 0.394 and P = 0.453), and the incidence of PCP also had no difference (P = 0.121). The binary logistic regression analysis revealed that the history of pulmonary disease, anesthesia method, and surgical location were risk factors of PCP.Conclusion: For patients with pulmonary dysfunction when undergoing different types of thoracic procedures, the NIVATS can be performed as effectively and safely as the IVATS, and can reduce the ICU stay.

scholarly journals Risk factors for basal cell carcinoma: a case-control study

1995 ◽  
Vol 29 (1) ◽  
pp. 27-37 ◽  
Author(s):  
Marcus Maia ◽  
Nelson Guimarães Proença ◽  
José Cássio de Moraes
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Risk Factor ◽  
Skin Cancer ◽  
Basal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Basal Cell ◽  
Odds Ratio ◽  
The Sun

A controlled trial was performed with the purpose of investigating which factors could be considered of significant risk for the development of basal cell carcinoma. A total of 259 cases of basal cell carcinoma diagnosed from July 1991 to July 1992 were compared with 518 controls matched for age and sex. All subjects in both groups were white. Protocol data were submitted to statistical analysis by the chi-square test and by multiple conditional logistic regression analysis and the following conclusions were reached: 1) light skin color (types I and II of the Fitzpatrick classification), odds ratio of 2.8; outdoor work under constant sunlight, odds ratio of 5.0; the presence of actinic lesions due to exposure to the sun, odds ratio of 4.9, are risk factors perse. 2) Type III skin in the Fitzpatrick classification only represents a risk factor when the patient reports a history of intense sunburns, but not in the absence of such a history. 3) Sunburns per se do not represent a risk factor althorig the point made in item 2 of these conclusions is valid. 4) Other suspected risk factors whose significance was not confirmed by multiple conditioned logistic regression analysis were: residence in rural areas, light eyes and blond hair color, extent of the awareness of the "sun x skin cancer" relationship, familial occurrence of skin cancer, excessive exposure to the sun, and freckles appearing in childhood.

scholarly journals Construction and Validation of a Convenient Clinical Nomogram to Predict the Risk of Brain Metastasis in Renal Cell Carcinoma Patients

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Yuexin Tong ◽  
Zhangheng Huang ◽  
Chuan Hu ◽  
Changxing Chi ◽  
Meng Lv ◽  
...  
Keyword(s):  
Risk Factors ◽  
Renal Cell Carcinoma ◽  
Logistic Regression ◽  
Brain Metastasis ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression ◽  
Clinical Tool ◽  
Clinical Value

Brain metastasis (BM) is a typical type of metastasis in renal cell carcinoma (RCC) patients. The early detection of BM is likely a crucial step for RCC patients to receive appropriate treatment and prolong their overall survival. The aim of this study was to identify the independent predictors of BM and construct a nomogram to predict the risk of BM. Demographic and clinicopathological data were obtained from the Surveillance, Epidemiology, and End Results (SEER) database for RCC patients between 2010 and 2015. Univariate and multivariate logistic regression analyses were performed to identify the independent risk factors, and then, a visual nomogram was constructed. Multiple parameters were used to evaluate the discrimination and clinical value. We finally included 42577 RCC patients. Multivariate logistic regression analysis showed that histological type, tumor size, bone metastatic status, and lung metastatic status were independent BM-associated risk factors for RCC. We developed a nomogram to predict the risk of BM in patients with RCC, which showed favorable calibration with a C -index of 0.924 (0.903-0.945) in the training cohort and 0.911 (0.871-0.952) in the validation cohort. The calibration curves and decision curve analysis (DCA) also demonstrated the reliability and accuracy of the clinical prediction model. The nomogram was shown to be a practical, precise, and personalized clinical tool for identifying the RCC patients with a high risk of BM, which not only will contribute to the more reasonable allocation of medical resources but will also enable a further improvements in the prognosis and quality of life of RCC patients.

scholarly journals Predictive Factors for Second-Line Therapy in Metastatic Renal Cell Carcinoma: A Retrospective Analysis

2017 ◽  
Vol 4 (1) ◽  
pp. 8-15 ◽  
Author(s):  
Hendrik Eggers ◽  
Philipp Ivanyi ◽  
Mareike Hornig ◽  
Viktor Grünwald
Keyword(s):  
Renal Cell Carcinoma ◽  
Logistic Regression ◽  
Cell Carcinoma ◽  
Metastatic Renal Cell Carcinoma ◽  
Renal Cell ◽  
Binary Logistic Regression ◽  
Second Line ◽  
Second Line Therapy ◽  
Line Therapy ◽  
Early Progression

Currently, about 50% of patients with metastatic renal cell carcinoma (mRCC) receive a second-line therapy. Therefore, the choice at each subsequent treatment line remains an important issue. In this retrospective study, we sought to identify pretreatment clinical parameters that could predict the likelihood of a patient receiving a second-line therapy. One hundred and sixty-one mRCC patients who received targeted therapy were evaluated. Descriptive statistics, Kaplan–Meier overall survival (OS), Cox regression, and binary logistic regression models were used for data analysis. Second-line therapy was given to 105 patients (65%). Patients with grade 1 tumor received second-line therapy more frequently than those with grade 2/3 tumors (P = 0.03). Only tumor grade was significantly different between patients receiving, or not receiving, second-line treatment. Median OS was significantly superior in patients receiving second-line therapy (32 versus 14 months; P = 0.007; hazard ratio [HR], 1.75; P = 0.008), patients with grade 1 tumors (130 versus 29 months in G2/3 tumors; HR, 3.85; P = 0.009), and in patients without early tumor progression (41 versus 11 months; HR, 5.04; 95% confidence interval [CI], 3.06–8.31; P < 0.001). In binary logistic regression, we identified early progression to be significantly associated with a higher probability of not receiving a second-line therapy (HR, 2.50; 95% CI, 1.01–6.21; P = 0.048). This study hypothesizes that pretreatment grade and early progression are predictive parameters for the selection of patients for second-line therapy.

Trends in the use of cytoreductive nephrectomy for metastatic renal cell carcinoma in the VEGFR tyrosine kinase inhibitor era.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 4623-4623
Author(s):  
Che-Kai Tsao ◽  
Alexander C. Small ◽  
Max Kates ◽  
Benjamin Adam Gartrell ◽  
Juan P. Wisnivesky ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Tyrosine Kinase ◽  
Cell Carcinoma ◽  
Metastatic Renal Cell Carcinoma ◽  
Renal Cell ◽  
Randomized Trials ◽  
Cytoreductive Nephrectomy

4623 Background: Two large randomized trials (SWOG, EORTC) published in 2001 established the role of cytoreductive nephrectomy (CyNx) for the treatment of metastatic renal cell carcinoma (mRCC) in the cytokine era. A paradigm shift occurred in 2005 with the approval of VEGFR tyrosine kinase inhibitors (TKIs). We hypothesized that uncertainty regarding the role of CyNx in the VEGFR TKI era has resulted in a change in practice patterns. Methods: Using the Surveillance, Epidemiology and End Results (SEER) registry, we identified 2780 patients with histologically-confirmed mRCC between 2000 and 2008 who underwent CyNx or no surgery. Patients were separated into pre- or VEGFR TKI-eras (2000-2005 vs. 2006-2008). Differences in baseline characteristics between these patient groups were assessed and controlled for in a logistic regression analysis to determine the likelihood of undergoing CyNx. Results: Overall, 1202 of 2780 patients (43%) underwent CyNx. CyNx increased from 41% in 2000 to 49% in 2005, and decreased to 35% in 2008, with a 20% decreased likelihood of undergoing CyNx in the VEGFR TKI era compared to the pre-VEGFR TKI era. Logistic regression analysis showed that tumor size, age, race, marital status and pre- versus post-2005 periods were independent predictors of CyNx (Table). Patients who were non-Caucasian, single, with primary tumor <3cm, or older were less likely to undergo CyNx. Conclusions: Use of CyNx increased after supporting level I evidence was published in 2001, and decreased after regulatory approval of VEGFR TKIs in 2005. Racial and demographic differences exist in the utilization of CyNx. The results of pending randomized trials evaluating the role of CyNx in the TKI-era are awaited to optimize use of this modality and address potential disparities. [Table: see text]

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