14-3-3η Protein in Rheumatoid Arthritis: Promising Diagnostic Marker and Independent Risk Factor for Osteoporosis

2020 ◽  
Vol 51 (5) ◽  
pp. 529-539
Author(s):  
Tingting Zeng ◽  
Liming Tan ◽  
Yang Wu ◽  
Jianlin Yu
Keyword(s):  
Rheumatoid Arthritis ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Risk Factor ◽  
Logistic Regression Analysis ◽  
Independent Risk Factor ◽  
Multiple Logistic Regression Analysis ◽  
Area Under The Curve ◽  
Enzyme Linked Immunosorbent Assay ◽  
Disease Monitoring

Abstract Background Early identification and disease monitoring are challenges facing rheumatologists in the management of rheumatoid arthritis (RA). Methods We utilized enzyme-linked immunosorbent assay (ELISA) to determine 14-3-3η and anticyclic citrullinated peptide antibody (anti-CCP) levels, with rheumatoid factor (RF) level detected by rate nephelometry. The diagnostic value of each index was determined via receiver operating characteristic (ROC) curve, and the association between 14-3-3η and osteoporosis was assessed using multiple logistic regression analysis. Results Serum levels of 14-3-3η were 3.26 ng per mL in patients with RA. These levels were helpful in identifying patients with the disease, with the area under the curve (AUC) being 0.879 and 0.853, respectively, from all healthy control individuals and patients with RA. Combining 14-3-3η with RF or anti-CCP increased the diagnostic rate. Logistic regression analysis identified 14-3-3η as an independent risk factor for RA-related osteoporosis (odds ratio [OR], 1.503; 95% confidence interval [CI], 1.116–2.025; P <.01). Conclusions Serum 14-3-3η detection by itself or combined with other serum indices was helpful in differentiating patients with RA. Also, it was a promising biomarker for disease monitoring in RA.

Pre-existing interstitial lung abnormalities are risk factors for immune checkpoint inhibitor-induced interstitial lung disease in non-NSCLC cancers.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e15171-e15171
Author(s):  
Kiyofumi Shimoji ◽  
Takeshi Masuda ◽  
Yu Nakanishi ◽  
Kakuhiro Yamaguchi ◽  
Shinjiro Sakamoto ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Risk Factor ◽  
Interstitial Lung Disease ◽  
Lung Disease ◽  
Logistic Regression Analysis ◽  
Independent Risk Factor ◽  
Patient Characteristics ◽  
Significant Difference

e15171 Background: Immune check point inhibitor (ICI) induced interstitial lung disease (ICI-ILD) is a clinically serious and life-threatening toxicity. Pre-existing ILD has been reported to be a risk factor for ICI-ILD in patients with non-small cell lung cancer (NSCLC). In addition, we have previously reported that interstitial lung abnormality (ILA) is also a risk factor for the ICI-ILD. Therefore, we investigated whether any patient characteristics, including ILA, were risk factors for ICI-ILD in patients with non-NSCLC cancers. Methods: Head and neck cancer, malignant melanoma, oral cavity cancer, renal cell carcinoma or gastric cancer patients who received anti PD-1 antibody (Nivolumab or Pembrolizumab) at Hiroshima University Hospital from December 2015 to May 2019 were enrolled. Information on patient characteristics before anti-PD-1 antibody administration, including chest CT findings and laboratory data, were obtained. Results: Two hundred patients were enrolled, and 20 (10%) developed ICI-ILD. Grade1 was observed in 15 patients, grade2 in 3, and grade3 and 5 in 1. There was no significant difference in the background factors between patients with and without ICI-ILD. On the other hand, the proportion of patients with ILA was significantly higher in the patients with ICI-ILD than those without (P < 0.01). Furthermore, univariate logistic regression analysis revealed ILA was the risk factor for ICI-ILD (p < 0.01), and multivariate logistic regression analysis showed that GGA or reticulation in ILA was an independent risk factor for ICI-ILD (p = 0.016, 0.011). Conclusions: Pre-existing ILA is a risk factor for ICI-ILD, and GGA or reticulation in ILA is an independent risk factor for ICI-ILD in patients with non-NSCLC cancers. Therefore, we should pay more attention to the development of ICI-ILD in patients with ILA, especially GGA or reticulation.

scholarly journals Effect of acute alcohol intoxication on mortality, coagulation, and fibrinolysis in trauma patients

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0248810
Author(s):  
Il-Jae Wang ◽  
Byung-Kwan Bae ◽  
Young Mo Cho ◽  
Suck Ju Cho ◽  
Seok-Ran Yeom ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Risk Factor ◽  
Hospital Mortality ◽  
Logistic Regression Analysis ◽  
Independent Risk Factor ◽  
Alcohol Intoxication ◽  
Trauma Patients ◽  
Blood Alcohol ◽  
Fibrinolysis Shutdown

Background The effect of alcohol on the outcome and fibrinolysis phenotype in trauma patients remains unclear. Hence, we performed this study to determine whether alcohol is a risk factor for mortality and fibrinolysis shutdown in trauma patients. Materials and methods A total of 686 patients who presented to our trauma center and underwent rotational thromboelastometry were included in the study. The primary outcome was in-hospital mortality. Logistic regression analysis was performed to determine whether alcohol was an independent risk factor for in-hospital mortality and fibrinolysis shutdown. Results The rate of in-hospital mortality was 13.8% and blood alcohol was detected in 27.7% of the patients among our study population. The patients in the alcohol-positive group had higher mortality rate, higher clotting time, and lower maximum lysis, more fibrinolysis shutdown, and hyperfibrinolysis than those in the alcohol-negative group. In logistic regression analysis, blood alcohol was independently associated with in-hospital mortality (odds ratio [OR] 2.578; 95% confidence interval [CI], 1.550–4.288) and fibrinolysis shutdown (OR 1.883 [95% CI, 1.286–2.758]). Within the fibrinolysis shutdown group, blood alcohol was an independent predictor of mortality (OR 2.168 [95% CI, 1.030–4.562]). Conclusions Alcohol is an independent risk factor for mortality and fibrinolysis shutdown in trauma patients. Further, alcohol is an independent risk factor for mortality among patients who experienced fibrinolysis shutdown.

Lipoprotein(a) and coronary artery disease in Chinese postmenopausal female patients: a large cross-sectional cohort study

2019 ◽  
Vol 95 (1128) ◽  
pp. 534-540 ◽  
Author(s):  
Shuo-Lin Liu ◽  
Na-Qiong Wu ◽  
Yuan-Lin Guo ◽  
Cheng-Gang Zhu ◽  
Ying Gao ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Risk Factor ◽  
Coronary Artery ◽  
Logistic Regression Analysis ◽  
Independent Risk Factor ◽  
Lipoprotein A ◽  
Female Patients ◽  
Artery Disease

BackgroundIt has been reported that lipoprotein(a) (Lp(a)) is associated with the risk of cardiovascular disease. The present study aimed to examine the association of Lp(a) levels with the presence and severity of coronary artery disease (CAD) in female patients.MethodsA total of 3712 female patients who received coronary angiography were consecutively enrolled. The levels of Lp(a) were measured and compared among patients with or without CAD, myocardial infarction and menopause. Spearman correlation analysis and logistic regression analysis were used to examine the association of Lp(a) with the presence of CAD and the severity of coronary atherosclerosis assessed by Gensini score (GS).ResultsThe average of Lp(a) levels was elevated as age increased in female subjects. Notably, women after menopause had higher Lp(a) levels compared with that before menopause (16.8 mg/dL (IQR 7.54–41.12 mg/dL) vs 14.7 mg/dL (IQR 6.72–30.82 mg/dL), p=0.002). Furthermore, multiple logistic regression analysis identified that Lp(a)>30 mg/dL was an independent risk factor of CAD in the postmenopausal females (OR: 1.33, 95% CI: 1.08 to 1.63, p=0.007). Finally, Lp(a) had a positive correlation with GS (r=0.11, p<0.001), and Lp(a)>30 mg/dL was an independent risk factor for high GS (OR: 1.43, 95% CI: 1.14 to 1.79, p=0.02) in the postmenopausal females.ConclusionCirculating Lp(a) levels were independently associated with the presence and severity of CAD in the postmenopausal females, suggesting that Lp(a) may be useful for prevention and risk-stratification of CAD in female individuals.

scholarly journals Soluble Programmed Death Molecule 1 (sPD-1) As Predictor of Interstitial Lung Disease in Rheumatoid Arthritis

2021 ◽  
Author(s):  
Li Xu ◽  
Lichun Jiang ◽  
Liuyan Nie ◽  
Songzhao Zhang ◽  
Lie Liu ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Interstitial Lung Disease ◽  
Lung Disease ◽  
Logistic Regression Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Enzyme Linked Immunosorbent Assay ◽  
Healthy Controls ◽  
Programmed Death

Abstract Objective To determine the relationship between serum soluble programmed death molecule-1 (sPD-1) levels and the development of interstitial lung disease (ILD) in patients with rheumatoid arthritis (RA). Methods Blood samples were obtained from 87 patients with RA (58 with ILD and 29 without ILD) and 45 healthy controls. Serum sPD-1 was measured by enzyme-linked immunosorbent assay. The pulmonary interstitial disease score was completed by a pulmonary physician and a radiologist through chest high-resolution computed tomography. Patients with RA-ILD were tested for lung function [e.g., forced vital capacity (FVC%), diffusing capacity of lungs for carbon monoxide (DLCO%)]. Associations between ILD and various markers, including sPD-1 and confounding factors, were investigated by logistic regression analysis. Diagnostic values of sPD-1 for the presence of ILD were investigated using receiver operating characteristic curve analysis. Results Serum sPD-1 levels were higher in RA patients with ILD than in RA patients without ILD and healthy controls (185.1 ± 109.0 pg/ml vs. 119.1 ± 77.5 pg/ml vs. 52.1 ± 21.7 pg/ml, P < 0.05). Serum sPD-1 levels were positively correlated with RF titer (P = 0.02, r = 0.249), anti-cyclic citrullinated peptide antibody status (P = 0.02, r = 0.243), and serum IgG levels (P < 0.001, r = 0.368), negatively associated with FVC% (P = 0.02, r = − 0.344), forced expiratory volume (FEV1%) (P = 0.01, r = − 0.354), total lung capacity % (P = 0.046, r = − 0.302), and was independently associated with the presence of ILD in RA patients by multivariate logistic regression analysis. The sensitivity and specificity of sPD-1 levels for the detection of ILD in RA patients were 58.6% and 75.9%, respectively. The area under the curve was 0.689. Conclusion Serum sPD-1 levels were increased in RA patients with ILD. Increased sPD-1 may be a valuable biomarker to predict the presence of ILD in patients with RA.

scholarly journals Branches of the brachiocephalic was an independent risk factor for hemorrhagic pulmonary sheath (HPS) patients with acute Stanford A aortic dissection

2020 ◽  
Author(s):  
Qiuxia Xie ◽  
Haoling Qin ◽  
Ling Lin ◽  
Jian Guan ◽  
Xuhui Zhou
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Risk Factor ◽  
Aortic Dissection ◽  
Logistic Regression Analysis ◽  
Independent Risk Factor ◽  
Conditional Logistic Regression ◽  
Case Group ◽  
Conditional Logistic Regression Analysis

Abstract Background: AAD refers to the blood flow into the middle membrane through the intimal rupture of the aorta. Hemorrhagic pulmonary sheath (HPS) is a common complication of Stanford-A AAD. The risk factors of HPS are remaining unclear Methods: In this study, we have probed the potential risk factors of HPS patients with acute Stanford A aortic dissection. 18 HPS patients with acute Stanford A aortic dissection were selected as the case group. The age difference ± 5 years and the same sex are set as the matching principles. 36 patients with acute Stanford-A type AD who did not detect HPS in the same period were matched according to the ratio of 1:2. Demographic data, treatment methods, AD-related disease history, clinical symptoms and Charlson comorbidity index (CCI) values of each patient were collected. Meanwhile, the values of the maximum diameter of ascending aorta (mm), aortic dissection range, and the main branch of the aorta, pleural effusion/blood, and pericardial effusion/blood were measured by two experienced cardiovascular radiological physicians. Univariate and multivariate conditional logistic regression analysis was used in this study. Results: CCI value and the branches of the brachiocephalic in the case group were significantly higher than those in the control group (p<0.05). Univariate conditional logistic regression analysis showed CCI and branches of the brachiocephalic were associated with HPS. Multivariate conditional logistic regression analysis suggested that branches of the brachiocephalic were an independent risk factor for HPS (OR=7.02, 95%CI=1.28-38.62, p=0.025). Conclusions: Branches of the brachiocephalic were an independent risk factor for HPS.

scholarly journals CONUT score is associated with mortality in patients with COVID-19: a retrospective study in Wuhan

2020 ◽  
Author(s):  
Ruoran Wang ◽  
Min He ◽  
Jirong Yue ◽  
Lang Bai ◽  
Dan Liu ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Risk Factor ◽  
Logistic Regression Analysis ◽  
Roc Curve ◽  
Prognostic Value ◽  
Independent Risk Factor ◽  
Multivariate Logistic Regression Analysis ◽  
Operating Characteristics ◽  
Conut Score

Abstract Background The coronavirus disease 2019 (COVID-19) pneumonia, outbreak in Wuhan, China, has led to a global pandemic. The high mortality of COVID-19 patients makes it significant to evaluate possible disease progression. This study was designed to explore the prognostic value of Controlling Nutritional Status (CONUT) score in patients with COVID-19. Methods Patients diagnosed with COVID-19 of a single center in Wuhan, China from January 2020 to February 2020 were enrolled in this study. Logistic regression analysis was performed to find independent risk factor of mortality. Receiver operating characteristics (ROC) curve was drawn to evaluate the prognostic value of CONUT score. Results Among 442 included patients, there were 79 non-survivors with mortality of 17.9%. Compared with survivors, the median age (p < 0.001) and male ratio (p = 0.042) were higher in non-survivors. Non-survivors had higher incidence of comorbidities including hypertension (p < 0.001), chronic lung disease (p = 0.001) and cardiovascular disease (p = 0.005). Complications such as respiratory failure(p < 0.001), acute kidney injury (AKI) (p < 0.001) occurred more frequently in non-survivors. Multivariate logistic regression analysis showed that CONUT (p = 0.002), lactate dehydrogenase (LDH) (p < 0.001), C-reactive protein (CRP) (p = 0.020) were risk factor of mortality in COVID-19 patients. Area under the ROC curve (AUC) of CONUT and Nutrition risk screening 2002 (NRS2002) score were 0.813 and 0.795, respectively. Comprised of CONUT, LDH, CRP, the constructed prognostic model had higher AUC of 0.923 (Z = 3.5210, p < 0.001). Conclusion CONUT is an independent risk factor of mortality in COVID-19 patients. Evaluating CONUT is beneficial for clinicians to predict the progression of COVID-19 patients and strengthen monitoring and management to improve prognosis.

scholarly journals Branches of the brachiocephalic was an independent risk factor for hemorrhagic pulmonary sheath (HPS) patients with acute Stanford A aortic dissection

2020 ◽  
Author(s):  
Qiuxia Xie ◽  
Haoling Qin ◽  
Ling Lin ◽  
Jian Guan ◽  
Xuhui Zhou
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Risk Factor ◽  
Aortic Dissection ◽  
Logistic Regression Analysis ◽  
Independent Risk Factor ◽  
Conditional Logistic Regression ◽  
Case Group ◽  
Conditional Logistic Regression Analysis

Abstract Background: AAD refers to the blood flow into the middle membrane through the intimal rupture of the aorta. Hemorrhagic pulmonary sheath (HPS) is a common complication of Stanford-A AAD. The risk factors of HPS are remaining unclear Methods: In this study, we have probed the potential risk factors of HPS patients with acute Stanford A aortic dissection. 18 HPS patients with acute Stanford A aortic dissection were selected as the case group. The age difference ± 5 years and the same sex are set as the matching principles. 36 patients with acute Stanford-A type AD who did not detect HPS in the same period were matched according to the ratio of 1:2. Demographic data, treatment methods, AD-related disease history, clinical symptoms and Charlson comorbidity index (CCI) values of each patient were collected. Meanwhile, the values of the maximum diameter of ascending aorta (mm), aortic dissection range, and the main branch of the aorta, pleural effusion/blood, and pericardial effusion/blood were measured by two experienced cardiovascular radiological physicians. Univariate and multivariate conditional logistic regression analysis was used in this study. Results: CCI value and the branches of the brachiocephalic in the case group were significantly higher than those in the control group (p<0.05). Univariate conditional logistic regression analysis showed CCI and branches of the brachiocephalic were associated with HPS. Multivariate conditional logistic regression analysis suggested that branches of the brachiocephalic were an independent risk factor for HPS (OR=7.02, 95%CI=1.28-38.62, p=0.025). Conclusions: Branches of the brachiocephalic were an independent risk factor for HPS.

scholarly journals Soluble programmed death molecule 1 (sPD-1) as a predictor of interstitial lung disease in rheumatoid arthritis

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Li Xu ◽  
Lichun Jiang ◽  
Liuyan Nie ◽  
Songzhao Zhang ◽  
Lei Liu ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Interstitial Lung Disease ◽  
Lung Disease ◽  
Logistic Regression Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Enzyme Linked Immunosorbent Assay ◽  
Healthy Controls ◽  
Programmed Death

Abstract Background Previous studies have indicated that the programmed death molecule 1 (PD-1) signaling pathway may play a key role in rheumatoid arthritis (RA). However, the pathogenesis of rheumatoid arthritis-related interstitial lung disease (RA-ILD) is not clear. We examined the serum levels of soluble PD-1 in patients with RA and its relationship with RA-ILD. Methods Blood samples were obtained from 87 patients with RA (58 with ILD and 29 without ILD) and 45 healthy controls. Serum sPD-1 was measured by Enzyme-Linked Immunosorbent Assay. The pulmonary interstitial disease score was completed by a pulmonary physician and a radiologist through chest high-resolution computed tomography. Patients with RA-ILD were tested for lung function [e.g., forced vital capacity (FVC%), diffusing capacity of lungs for carbon monoxide (DLCO%)]. Associations between ILD and various markers, including sPD-1 and confounding factors, were investigated by logistic regression analysis. Diagnostic values of sPD-1 for the presence of ILD were investigated using receiver operating characteristic curve analysis. Results Serum sPD-1 levels were higher in RA patients with ILD than in RA patients without ILD and healthy controls (185.1 ± 109.0 pg/ml vs. 119.1 ± 77.5 pg/ml vs. 52.1 ± 21.7 pg/ml, P < 0.05). Serum sPD-1 levels were positively correlated with RF titer (P = 0.02, r = 0.249), anti-cyclic citrullinated peptide antibody status (P = 0.02, r = 0.243), and serum IgG levels (P < 0.001, r = 0.368), negatively associated with FVC% (P = 0.02, r = − 0.344), forced expiratory volume (FEV1%) (P  = 0.01, r = − 0.354), total lung capacity (TLC%) (P = 0.046, r = − 0.302), and was independently associated with the presence of ILD in RA patients by multivariate logistic regression analysis. The sensitivity and specificity of sPD-1 levels for the detection of ILD in RA patients were 58.6% and 75.9%, respectively. The area under the curve was 0.689. Conclusion Serum sPD-1 levels were increased in RA patients with ILD. Increased sPD-1 may be a valuable biomarker to predict the presence of ILD in patients with RA.

scholarly journals Annual Disease Experience by Type and Correlations with Unmet Healthcare Needs among ROK Military Personnel

2020 ◽  
Vol 185 (7-8) ◽  
pp. e944-e951
Author(s):  
Hwi Jun Kim ◽  
Sarah So Yeon Oh ◽  
Dong Woo Choi ◽  
Sun Yeong Won ◽  
Hae Jung Kim ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Military Personnel ◽  
Private Insurance ◽  
Multiple Logistic Regression Analysis ◽  
Healthcare Needs ◽  
Unmet Healthcare Needs ◽  
Number Of Patients ◽  
Disease Experience

Abstract Introduction The National Statistical Yearbook of Defense 2018 issued by the Republic of Korea (ROK) Ministry of National Defense reported that the number of patients using military hospitals steadily increased from 2008 to 2017. However, in the outpatient clinic statistics for years 2015–2017 from the ROK Armed Forces Medical Command, the amount of medical care received from some medical departments, such as the infection medicine, surgery, and anesthesiology departments, decreased. Therefore, the purpose of this study was to observe the differences in incidence of military personnel’s unmet healthcare needs according to number of diseases by type. Materials and Methods The study used data from the Military Health Survey, which was conducted from 2014 to 2015 and included 5162 responses from ROK military personnel. The number of diseases by type and unmet healthcare needs were self-reported. A multiple logistic regression analysis was used to examine the validity of the annual disease experience by type and correlations with unmet healthcare needs. Results Of the 5162 military personnel, 25.2% experienced unmet healthcare needs, and the more people with the number of disease by type, the more likely they were to experience unmet healthcare needs (1: 13.4%, 2: 22.9%, 3: 29.2%, 4: 34.5%, 5: 41.4%). The logistic regression analysis also revealed significant differences (1 = REF, 2 odds ratio (OR) = 1.83, 95% confidence interval (CI): 1.50–2.24; 3 OR = 2.53, 95% CI: 2.05–3.11, 4 OR = 3.10, 95% CI = 2.49–3.85; ≥5 OR = 3.85, 95% CI = 3.08–4.81). In addition, subgroup analysis showed that female military personnel are more likely to experience unmet healthcare needs than are male military personnel. We have also confirmed that working areas and private insurance can affect unmet healthcare needs. Conclusion This study suggests that unmet healthcare needs are influenced by the number of disease by the type of ROK military personnel. It is therefore necessary to strive to reduce the number of military personnel who experience unmet healthcare needs through this data.

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