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.

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 &lt;.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 RELATIONSHIP BETWEEN CIGARETTE SMOKING AND NASOPHARYNGEAL CARCINOMA

2019 ◽  
Vol 1 (1) ◽  
pp. 17-23
Author(s):  
Ibrahim Irsan Nasution ◽  
Ramsi Lutan ◽  
Delfitri Munir ◽  
Arlinda Sari Wahyuni
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Risk Factor ◽  
Nasopharyngeal Carcinoma ◽  
Cigarette Smoking ◽  
Logistic Regression Analysis ◽  
Significant Relationship ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression ◽  
Salted Fish

Introduciton Since then the pathogenesis of NPC has been intensively studied, specifically aimed at geography and racial variation. In recent years many environmental and biological factors have shown a risky relationship to the occurrence of NPC and the latest research results indicate the role of genetic and viral factors in the development of this disease Objectives Etiology of nasopharyngeal cancer (NPC) is multifactorial, and many of these factors overlap where one factor may occur together with other elements as a cause. Cigarette smoking is thought to also play a role in the development of NPC.   Methods The study design was in case of control with an analytical approach during February-October 2007.  To find out the relationship between Cigarette smoking NPC, a case-control study was conducted, with a sample of 96 patients with NPC as case and 96 people as a control. Case group and control samples were taken from RSUP H. Adam Malik Medan and RSU Dr. Pirngadi Medan.  Results The majority of NPC patients are: Men (compared with women 2.84: 1), 50-59 years (29.2%), and farming (32.3%). The Batak ethnic is the largest ethnic group suffering from NPC 54 people (56.3%) and followed in the second place the most are Javanese (29.2%). The most histopathological type is WHO type 3 (38.6%). Most stages were III (58.4%), followed by stage IV (40.6%), stage II (1%), and there was none of stage I.In univariate logistic regression showed a significant relationship between smokers with consumption of cigarettes 11-20 cigarettes per day with OR=2.530 (p=0.021) with the occurrence of NPC. However, in the multivariate logistic regression analysis, the number of cigarettes per day did not show a significant relationship (p=0.587). The results of multivariate logistic regression analysis, nasopharyngeal carcinoma were significantly associated with people who had started smoking before the age of 20 years (p=0.000; OR 5.35 and CI 95% 2.290-12.499), consuming habits of salted fish before 10 years of age with sometimes frequency  consumption of  salted  fish  p=0.000;   OR  7.766  (95% CI 2.937-20.538), often p=0.000; OR 16.515 (95% CI 5.3000-51.463), and the habit of using firewood p=0.014; OR 3.147 (95% CI 1.260-7.860). There was no significant relationship between the duration of cigarette smoking (p=0.293), a number of cigarettes (p=0.021) and the types of cigarettes smoked (p=0.081) with the incidence of NPC. Conclusion Cigarette smoking as a risk factor for NPC cannot act stand-alone as a risk factor, but there is a role for other factors that also influence as a risk factor.

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.

The association between hypoglycemia and glycemic variability in elderly patients with type 2 diabetes: cross-sectional study

2020 ◽  
Author(s):  
Takahisa Handa ◽  
Akinobu Nakamura ◽  
Aika Miya ◽  
Hiroshi Nomoto ◽  
Hiraku Kameda ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Elderly Patients ◽  
Logistic Regression Analysis ◽  
Roc Curve ◽  
Multivariate Logistic Regression Analysis ◽  
Glycemic Variability ◽  
Multivariate Logistic Regression

Abstract BackgroundThis study aimed to explore predictive factors of time below target glucose range (TBR) ≥ 1% among patients’ characteristics and glycemic variability (GV) indices using continuous glucose monitoring data in elderly patients with type 2 diabetes.MethodsWe conducted a prospective observational study on 179 (71 female) Japanese outpatients with type 2 diabetes aged ≥ 65 years. The characteristics of the participants with TBR ≥ 1% were evaluated by multivariate logistic regression analysis. Receiver-operating characteristic (ROC) curve analyses of GV indices, comprising coefficient of variation (CV), standard deviation, and mean amplitude of glycemic excursions, were performed to identify the optimal index for the identification of patients with TBR ≥ 1%.ResultsIn the multivariate logistic regression analysis, none of the clinical characteristics, including HbA1c and C-peptide index, were independent markers for TBR ≥ 1%, while all three GV indices showed significant associations with TBR ≥ 1%. Among the three GV indices, CV showed the best performance based on the area under the curve in the ROC curve analyses.ConclusionsAmong elderly patients with type 2 diabetes, CV reflected TBR ≥ 1% most appropriately among the GV indices examined.Trial registration: UMIN-CTR: UMIN000029993. Registered 16 November 2017

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 The prognostic value of histology in ulcerative colitis in clinical remission with mesalazine

2017 ◽  
Vol 10 (10) ◽  
pp. 749-759 ◽  
Author(s):  
Giuseppe Frieri ◽  
Brigida Galletti ◽  
Mirko Di Ruscio ◽  
Rachele Tittoni ◽  
Annalisa Capannolo ◽  
...  
Keyword(s):  
Ulcerative Colitis ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Clinical Remission ◽  
Prognostic Value ◽  
Activity Index ◽  
Multivariate Logistic Regression Analysis ◽  
Histological Activity

Background: The aim of the study was to compare the prognostic value of histological and endoscopic activity in patients with ulcerative colitis (UC). Methods: Patients in clinical remission for 1 year under treatment with mesalazine underwent a planned colonoscopy with biopsies. Histological activity was scored using the histological activity index (HAI). Endoscopic activity was scored using the Mayo endoscopic subscore (MES). The clinical course was evaluated measuring relapses needing steroids during a follow up of 3 years. Results: A total of 52 patients were enrolled into the study and followed up for 3 years. At baseline 29 patients (55.77%) had no endoscopic lesions, and 17 patients (32.69%) showed no histological alteration. At 3 years of follow up, overall, 26 patients (50%) were still in steroid-free remission. Using univariate logistic regression analysis, both histological (HAI ⩾ 1) and endoscopic activity (MES ⩾ 1) were significantly associated with outcome, showing, respectively, a relapse risk (odds ratio [OR]) 16.4 times higher than histological remission (HAI 0) (96% confidence interval [CI]: 3.2–84.3) and 6.3 times higher with respect to endoscopic remission (MES 0) (96% CI: 1.9–21.3). After multivariate logistic regression analysis, histological activity was the only factor significantly associated with outcome (OR 10.2; 95% CI: 1.7–59.4). Conclusions: Histological activity has the most powerful prognostic value in predicting the need for steroids in patients with UC in stable clinical remission on mesalazine. It could be considered as a target of therapy in UC.

scholarly journals The Prognostic Value of Cardiac Troponin T in Different Age Groups of Traumatic Brain Injury Patients

2020 ◽  
Author(s):  
Ruoran Wang ◽  
Min He ◽  
Yan Kang
Keyword(s):  
Traumatic Brain Injury ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Brain Injury ◽  
Elderly Patients ◽  
Logistic Regression Analysis ◽  
Prognostic Value ◽  
Troponin T ◽  
Age Groups ◽  
Multivariate Logistic Regression Analysis

Abstract Background The cardiac dysfunction has been confirmed as a common non-neurological complication and associated with increased mortality in traumatic brain injury (TBI) patients. As a biological marker of cardiac injury, the cardiac troponin T (TnT) has been verified correlated with outcome of some non-traumatic brain injury patients. However, the prognostic value of TnT in TBI patients has not been clearly illustrated. We designed this study to explore the association between TnT and outcome of TBI patients in different age subgroups. Methods Patients diagnosed with TBI in a prospective critical care database were eligible for this study. Univariate logistic regression analysis was firstly performed to explore the relationship between included variables and mortality. Then, the real effect of TnT on outcome of different age subgroups was analyzed by multivariate logistic regression analysis adjusting the confounding effects of other significant risk factors. Finally, we draw receiver operating characteristic (ROC) curves to evaluate the prognostic value of TnT in different age groups of TBI patients. Results 520 patients were included in this study with mortality rate of 20.2%. There were 112 (21.5%) non-elderly patients (age < 65) and 408 (78.5%) elderly patients (age ≥ 65). Non-survivors had higher percentage of previous acute myocardial infarction (p = 0.019) and pupil no-reaction (p = 0.028; p = 0.011) than survivors. Survivors had higher GCS (p < 0.001) and lower TnT than non-survivors (p < 0.001). TnT was significantly associated with mortality in non-elderly patients (p = 0.031) but not in overall patients (p = 0.143) and elderly patients (p = 0.456) in multivariate logistic regression analysis. The AUC (area under the ROC curve) value of TnT in overall, non-elderly and elderly patients was 0.644, 0.693 and 0.632, respectively. Combining TnT with GCS increased the sensitivity of predicting mortality of both non-elderly and elderly TBI patients. Conclusion The prognostic value of TnT differed between elderly and non-elderly TBI patients. Level of TnT was associated with mortality of non-elderly TBI patients but not elderly patients. Combining the TnT with GCS could increase the sensitivity of prognosis evaluation.

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 Risk factors for carotid plaque progression after optimising the risk factor treatment: substudy results of the Atherosclerotic Plaque Characteristics Associated with a Progression Rate of the Plaque and a Risk of Stroke in Patients with the carotid Bifurcation Plaque Study (ANTIQUE)

2021 ◽  
pp. svn-2021-001068
Author(s):  
David Školoudík ◽  
Petra Kešnerová ◽  
Tomáš Hrbáč ◽  
David Netuka ◽  
Jaroslav Vomáčka ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Risk Factor ◽  
Logistic Regression Analysis ◽  
Carotid Plaque ◽  
Multivariate Logistic Regression Analysis ◽  
Plaque Progression ◽  
Multivariate Logistic Regression ◽  
Factors Influencing

Background and aimCarotid plaque progression contributes to increasing stroke risk. The study aims to identify factors influencing carotid plaque thickness progression after changing the preventive treatment to the ‘treating arteries instead of risk factors’ strategy, that is, change in treatment depending on the progression of atherosclerosis.MethodsThe study participants who completed sonographic controls over the course of 3 years were enrolled to the analysis. Duplex sonography of cervical arteries was performed in 6-month intervals with measurement of carotid plaque thickness. Plaque thickness measurement error (σ) was set as 3 SD. Only evidently stable and progressive plaques (defined as plaque thickness difference between initial and final measurements of ˂σ and >2σ, respectively) were included to analysis. Univariate and multivariate logistic regression analysis was performed to identify factors influencing plaque progression.ResultsA total of 1391 patients (466 males, age 67.2±9.2 years) were enrolled in the study. Progressive plaque in at least one carotid artery was detected in 255 (18.3%) patients. Older age, male sex, greater plaque thickness, coronary heart disease, vascular surgery/stenting history and smoking were more frequently present in patients with progressive plaque (p˂0.05 in all cases). Multivariate logistic regression analysis identified only the plaque thickness (OR 1.850 for left side, 95% CI 1.398 to 2.449; and OR 1.376 for right side, 95% CI 1.070 to 1.770) as an independent factor influencing plaque progression.ConclusionCarotid plaque thickness corresponding to stenosis severity is the only independent risk factor for plaque thickness progression after optimising the prevention treatment.Trial registration numberNCT02360137.

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