scholarly journals Association of the location and initial degree of malignant central airway stenosis with the risk of severe restenosis after interventional bronchoscopy

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Saibin Wang ◽  
Renzhi Zhou ◽  
Siyao Zhu ◽  
Dan Yan
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Main Bronchus ◽  
Multiple Logistic Regression Analysis ◽  
Left Main Bronchus ◽  
Multiple Logistic Regression ◽  
Left Main ◽  
Initial Degree ◽  
Central Airway

Abstract Background Therapeutic bronchoscopy is one of the effective methods in the treatment and management of malignant central airway stenosis (MCAS). However, restenosis after therapeutic bronchoscopy frequently occurs and severe restenosis (SR) can be life-threatening. Therefore, this study aimed at investigating the risk factors for SR after therapeutic bronchoscopy. Methods The data of 233 consecutive cases with MCAS who were subjected to therapeutic bronchoscopy between 2015 and 2020 at a tertiary hospital were collected. Patients were divided into SR group and non-SR during 6 months after therapeutic bronchoscopy. Multiple logistic regression analysis was performed to determine the risk factors for SR. Results SR during 6 months after therapeutic bronchoscopy occurred in 39.5% (92/233) of patients. The location and the initial degree of MCAS were associated with SR, as assessed by multiple logistic regression analysis (P < 0.05). The risk of SR after therapeutic bronchoscopy in the left main bronchus, right main bronchus, and right intermediate bronchus increased, compared to the risk when of MCAS was located in the trachea (OR (95% CI) of 8.821 (1.850-25.148), 6.583 (1.791–24.189), and 3.350 (0.831–13.511), respectively). In addition, the initial degree of MCAS was positively associated with an increased risk of SR (OR 1.020; 95% CI 1.006–1.035). Conclusions MCAS located in the left main bronchus, right main bronchus and right intermediate bronchus, as well as the higher initial degree of MCAS were independent risk factors for SR during 6 months after therapeutic bronchoscopy.

scholarly journals Cardiovascular Risk Factors in Pre-dialysis Chronic Kidney Disease patients of Nepal

2020 ◽  
Vol 9 (2) ◽  
pp. 47-53
Author(s):  
Kashyap Dahal ◽  
A. Baral ◽  
K.K. Sah ◽  
J.R. Shrestha ◽  
A. Niraula ◽  
...  
Keyword(s):  
Risk Factors ◽  
Chronic Kidney Disease ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Kidney Disease ◽  
Multiple Logistic Regression Analysis ◽  
Multiple Logistic Regression ◽  
Cvd Risk Factors ◽  
Cvd Risk ◽  
Traditional Risk Factors

Background and Aims: Cardiovascular disease (CVD) is the commonest cause of morbidity and mortality in patients with chronic kidney disease (CKD) due to increased prevalence of traditional and nontraditional CVD risk factors. Our study aimed to evaluate these risk factors in pre-dialysis Nepalese CKD patients. Methods: This was a cross-sectional study conducted in Department of Nephrology, Bir hospital. Total 100 consecutive pre-dialysis CKD patients were enrolled. Ten traditional and six nontraditional CVD risk factors were analyzed and compared between CKD stages. Descriptive statistics was used to illustrate the socio-demographic and clinical characteristics, chi square test for categorical variables and multiple logistic regression analysis was done to determine the risk factors of CVD in CKD patients. p-value<0.05 was considered to be statistically significant. Results: Mean patient age was 52.03}13.64 years with majority (60%) of the patients being male. Comparison of traditional risk factors in different stages depicted similar trend except for old age in Stage 3 CKD (p=0.002). Anemia (p<0.001), hyperphosphatemia (p=0.01), hyperparathyroidism (p<0.01) and cumulative nontraditional risk factors were significantly higher (p=0.01) in stage 5 CKD. The predicted CVD events by Framingham risk score showed high risk in 37% with no significant difference among the stages. Multiple logistic regression analysis showed increased body mass index, low serum albumin and increased serum phosphate as the three significant predictors for left ventricular hypertrophy. Conclusion: Our study shows that the CVD risk factors were prevailing along the various stages of CKD. The occurrence of non-traditional risk factors increased with increasing stage of CKD.

scholarly journals 447 - Risk factors associated with sleep disturbance in a general elderly Japanese population: The Arao Cohort Study

2020 ◽  
Vol 32 (S1) ◽  
pp. 167-167
Author(s):  
Kazuki Honda ◽  
Tomohisa Ishikawa ◽  
Ryuji Fukuhara ◽  
Seiji Yuki ◽  
Yusuke Miyagawa ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Cohort Study ◽  
Sleep Disturbance ◽  
Logistic Regression Analysis ◽  
Barthel Index ◽  
Multiple Logistic Regression Analysis ◽  
Multiple Logistic Regression ◽  
Factors Associated

[Background]Sleep disturbance is a common symptom in elderly people. However, the associated risk factors have not been completely clarified. We examined possible risk factors associated with sleep disturbance in a community-based Japanese cohort study.[Methods]1521 community-dwelling individuals aged 65 years or older were selected from a consecutive series at a cohort study from 2016 to 2018 in Arao city, where located at south part of Japan. In this survey, the clinical valuables were collected as follows: age, sex, occupational status, education, lifestyle information, medical history, EuroQoL(EQ)-5D (a score of health-related quality of life [QOL]), Barthel index (a score of performance in activities of daily living), a score of Geriatric Depression Scale (GDS) and a score of Mini-Mental State Examination (MMSE). Sleep disturbance was assessed by the Pittsburgh Sleep Quality Index (when the global score was 6 or over, sleep disturbance was determined to be present). Multiple logistic regression analysis was used to examine the association between clinical valuables and sleep disturbance. This research was supported by AMED (Japan Agency for Medical Research and Development) under Grant Number JP18dk0207025h0003 and has been approved by the research ethics committee of Kumamoto University. Informed consent was obtained from all participants and their family members.[Results]Multiple logistic regression analysis revealed that Parkinson disease (Odds ratio[OR]=5.59), living alone (OR=1.93), liver disease (OR=1.89), hyperlipidemia (OR=1.36), higher score of GDS (OR=1.14), lower scores of both EQ-5D index (OR=1.11) and Barthel index (OR=1.03) were significantly associated as risk factors with sleep disturbance. Unexpectedly, lower score of MMSE was not a significant risk factor.[Conclusion]These results suggest that several physical illnesses, solitude, depressive symptoms and lower QOL, but not cognitive impairment, might be crucial risk factors associated with sleep disturbance in elderly population.

scholarly journals The feasibility of colorectal endoscopic submucosal dissection for the treatment of residual or recurrent tumor localized in therapeutic scar tissue

2017 ◽  
Vol 05 (12) ◽  
pp. E1242-E1250 ◽  
Author(s):  
Ryosuke Kobayashi ◽  
Kingo Hirasawa ◽  
Ryosuke Ikeda ◽  
Takeh de Fukuchi ◽  
Yasuaki Ishii ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Treatment Time ◽  
Multiple Logistic Regression Analysis ◽  
Scar Tissue ◽  
Prolonged Treatment ◽  
Multiple Logistic Regression ◽  
Colorectal Tumors ◽  
High Risk Factors

Abstract Background and study aims Endoscopic submucosal dissection (ESD) is used to treat superficial colorectal tumors. Previous studies have reported the efficacy of ESD for treating residual or local recurrent colorectal tumors. This study sought to evaluate the efficacy of ESD in treating these lesions and to assess factors that prevent successful ESD. Methods This retrospective study assessed 25 cases of residual or local recurrent lesions that were previously treated using EMR (18 lesions), TEM (5 lesions), ESD (1 lesion) or surgery (1 lesion), and 459 primary lesions treated using ESD between April 2008 and September 2015. Clinicopathological characteristics, treatment outcome and adverse events were compared between groups with or without scar tissue. Factors related to perforation and a prolonged treatment time, which indicate the likelihood of technical difficulties, were identified using multiple logistic regression analysis. Results In residual or local recurrent lesions groups, patients experienced more perforations (32 % vs 4 %, P < 0.001) and required a longer treatment time (117 min vs 61 min, P < 0.001) compared with the primary lesions group. Both groups showed a similar curative resection rate. Emergency surgery was not needed in any case. Multiple logistic regression analysis indicated that tumor location and therapeutic scar tissue were high risk factors for perforation, and that large tumor size and therapeutic scar tissue were high risk factors for prolonged treatment time. Conclusions ESD for residual or local recurrent colorectal tumors is a technically challenging, but effective and minimally invasive treatment. When performed carefully with sufficient proficiency, it is a useful treatment option.

scholarly journals Stunting Among Under 5-Year-Olds in Nepal: Trends and Risk Factors

2019 ◽  
Vol 24 (S1) ◽  
pp. 39-47 ◽  
Author(s):  
Shyam Sundar Budhathoki ◽  
Amit Bhandari ◽  
Rejina Gurung ◽  
Abhishek Gurung ◽  
Ashish KC
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Nutritional Status ◽  
Logistic Regression Analysis ◽  
Health Surveys ◽  
Multiple Logistic Regression Analysis ◽  
Multiple Logistic Regression ◽  
Multiple Factors ◽  
Children Under 5

Abstract Introduction The nutritional status in the first 5 years of life has lifelong and inter-generational impacts on individual’s potential and development. This study described the trend of stunting and its risk factors in children under 5 years of age between 2001 and 2016 in Nepal. Methods The study used datasets from the 2001, 2006, 2011 and 2016 Nepal Demographic Health Surveys to describe the trend of stunting in under 5-year children. Multiple logistic regression analysis was carried out to assess the risk factors for stunting at the time of the four surveys. Results The nutritional status of under 5-year children improved between 2001 and 2016. Babies born into poorer families had a higher risk of stunting than those born into wealthier families (AOR 1.51, CI 95% 1.23–1.87). Families residing in hill districts had less risk of stunting than those in the Terai plains (AOR 0.75, CI 95% 0.61–0.94). Babies born to uneducated women had a higher risk of stunting than those born to educated women (AOR 1.57, CI 95% 1.28–1.92). Discussion Stunting among under-5-year children decreased in the years spanning 2001–2016. This study demonstrated multiple factors that can be addressed to decrease the risk of stunting, which has important implications for neurodevelopment later in life. We add literature on risk factors for stunting in under-5-year children.

scholarly journals RISK FACTORS OF PREECLAMPSIA WITH SEVERE FEATURES AND ITS COMPLICATIONS

2021 ◽  
Vol 5 (1) ◽  
pp. 29
Author(s):  
Eka Suci Wulandari ◽  
Ernawati Ernawati ◽  
Djohar Nuswantoro
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Gestational Age ◽  
Multiple Logistic Regression Analysis ◽  
Severe Preeclampsia ◽  
Control Group ◽  
P Value ◽  
Multiple Logistic Regression

 Abstract.Background : The maternal mortality rate in Indonesia is dominated by preeclampsia as the second highest cause after bleeding. Several predictors can be categorized as risk factors that can be used to increase alertness in the care of pregnant women with severe preeclampsia to avoid complications. The purpose of this study was to study the relationship between risk factors for severe preeclampsia and its complications. Methods: This study used an observational analytic method with a case control design. The sampling technique is simple random sampling. The number of samples in this study were 80 samples, with 40 samples in each group. The case group was severe preeclampsia with one complication and the control group was severe preeclampsia without complications. Statistical analysis used was chi square and multiple logistic regression analysis. Results: The results showed that there was a significant relationship between age variables (p value = 0.001 < 0.05; OR = 5.318; CI = 2.118 – 13,356), BMI (p value = 0.002 < 0.05; OR = 6.000; CI = 1.958 – 18.384 ) and gestational age (p value = 0.039 < 0.05; OR = 2.636; CI = 1.040 – 6.685). Multiple logistic regression analysis showed that BMI (p = 0.003), age (p = 0.001) and gestational age (p = 0.048) were variables included in the final modeling of the regression analysis with the incidence of severe preeclampsia complications. Conclusion: BMI is the variable that has the strongest relationship with the incidence of severe preeclampsia complications.  

Prediction Model of Severe Coronavirus Disease 2019(COVID-19) Cases Shows the Leading Risk Factor of Hypocalcemia

2020 ◽  
Author(s):  
Chenchan Hu ◽  
Feifei Su ◽  
Jianyi Dai ◽  
Shushu Lu ◽  
Lianpeng Wu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Prediction Model ◽  
Probability Model ◽  
Multiple Logistic Regression Analysis ◽  
Treatment Programs ◽  
Multiple Logistic Regression ◽  
High Transmission ◽  
Transmission Setting

Abstract Background A striking characteristic of Coronavirus Disease 2019(COVID-19) is the coexistence of clinically mild and severe cases. A comprehensive analysis of multiple risk factors predicting progression to severity is clinically meaningful. Methods The patients were classified into moderate and severe groups. The univariate regression analysis was used to identify their epidemiological and clinical features related to severity, which were used as possible risk factors and were entered into a forward-stepwise multiple logistic regression analysis to develop a multiple factor prediction model for the severe cases.Results 255 patients (mean age, 49.1±SD 14.6) were included, consisting of 184 (72.2%) moderate cases and 71 (27.8%) severe cases. The common symptoms were dry cough (78.0%), sputum (62.7%), and fever (59.2%). The less common symptoms were fatigue (29.4%), diarrhea (25.9%), and dyspnea (20.8%). The univariate regression analysis determined 23 possible risk factors. The multiple logistic regression identified seven risk factors closely related to the severity of COVID-19, including dyspnea, exposure history in Wuhan, CRP (C-reactive protein), aspartate aminotransferase (AST), calcium, lymphocytes, and age. The probability model for predicting the severe COVID-19 was P=1/1+exp (-1.78+1.02×age+1.62×high-transmission-setting-exposure +1.77×dyspnea+1.54×CRP+1.03×lymphocyte+1.03×AST+1.76×calcium). Dyspnea (OR=5.91) and hypocalcemia (OR=5.79) were the leading risk factors, followed by exposure to a high-transmission setting (OR=5.04), CRP (OR=4.67), AST (OR=2.81), decreased lymphocyte count (OR=2.80), and age (OR=2.78). Conclusions This quantitative prognosis prediction model can provide a theoretical basis for the early formulation of individualized diagnosis and treatment programs and prevention of severe diseases.

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