scholarly journals Nigral Iron Deposition Is Associated With Levodopa-Induced Dyskinesia in Parkinson’s Disease

2021 ◽  
Vol 15 ◽  
Author(s):  
Tianbin Song ◽  
Jiping Li ◽  
Shanshan Mei ◽  
Xiaofei Jia ◽  
Hongwei Yang ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Logistic Regression ◽  
Multivariate Logistic Regression Analysis ◽  
Iron Deposition ◽  
Multivariate Logistic Regression Model ◽  
Multivariate Logistic Regression ◽  
Increased Risk ◽  
Left And Right ◽  
The Mean

ObjectiveTo investigate iron deposition in the substantia nigra (SN) of Parkinson’s disease (PD) patients associated with levodopa-induced dyskinesia (LID).MethodsSeventeen PD patients with LID, 17 PD patients without LID, and 16 healthy controls were recruited for this study. The mean QSM values of the whole, left, and right SN were compared among the three groups. A multivariate logistic regression model was constructed to determine the factors associated with increased risk of LID. The receiver operating characteristic curve of the QSM value of SN in discriminating PD with and without LID was evaluated.ResultsThe mean QSM values of the whole and right SN in the PD with LID were higher than those in the PD without LID (∗P = 0.03, ∗P = 0.03). Multivariate logistic regression analysis revealed that the QSM value of whole, left, or right SN was a predictor of the development of LID (∗P = 0.03, ∗P = 0.04, and ∗P = 0.04). The predictive accuracy of LID in adding the QSM value of the whole, left, and right SN to LID-related clinical risk factors was 70.6, 64.7, and 67.6%, respectively. The QSM cutoff values between PD with and without LID of the whole, left, and right SN were 148.3, 165.4, and 152.7 ppb, respectively.ConclusionThis study provides the evidence of higher iron deposition in the SN of PD patients with LID than those without LID, suggesting that the QSM value of the SN may be a potential early diagnostic neuroimaging biomarker for LID.

scholarly journals Comparison of Clinical Characteristics and Outcomes between Respiratory s yncytial Virus and Influenza-related Pneumonia in China from 2013 to 2019

2020 ◽  
Author(s):  
Liang Chen ◽  
Xiudi Han ◽  
YanLi Li ◽  
Chunxiao Zhang ◽  
Xiqian Xing
Keyword(s):  
Logistic Regression ◽  
Influenza A ◽  
Clinical Characteristics ◽  
Nasal Congestion ◽  
Multivariate Logistic Regression Analysis ◽  
Teaching Hospitals ◽  
Multivariate Logistic Regression Model ◽  
Influenza B ◽  
Multivariate Logistic Regression ◽  
Increased Risk

Abstract Background: Differences in the clinical features and outcomes between syncytial virus-related (RSV-p) and influenza-related pneumonia (Flu-p) are largely unknown. We aimed to compare clinical characteristics and severity between adults with the two conditions . Methods: A total of 127 patients with RSV-p, 693 patients with influenza A-related pneumonia (FluA-p) and 386 patients with influenza B-related pneumonia (FluB-p) were retrospectively reviewed from 2013 through 2019 in five teaching hospitals in China. Results: A multivariate logistic regression model indicated that age ≥ 50 years, cerebrovascular disease, chronic kidney disease, solid malignant tumor, nasal congestion, myalgia, sputum production, respiratory rates ≥ 30 beats/min, lymphocytes < 0.8×109/L and blood albumin < 35 g/L were predictors that differentiated RSV-p from Flu-p. After adjusting for confounders, a multivariate logistic regression analysis confirmed that, relative to RSV-p, FluA-p (OR 2.313 , 95% CI 1.377 - 3.885, p = 0.002) incurred an increased risk for severe outcomes, including invasive ventilation, ICU admission, and 30-day mortality. FluB-p (OR 1.630 , 95% CI 0.958 - 2.741, p = 0.071) was not associated with increased risk. Conclusions: The severity of RSV-p was less than that of FluA-p, but was comparable to FluB-p. Some clinical variables were useful for discriminating RSV-p from Flu-p.

Predictors of Pharyngeal Dysphagia in Patients with Parkinson’s Disease

2020 ◽  
Vol 10 (4) ◽  
pp. 1727-1735
Author(s):  
Inga Claus ◽  
Paul Muhle ◽  
Judith Suttrup ◽  
Bendix Labeit ◽  
Sonja Suntrup-Krueger ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Logistic Regression ◽  
Rating Scale ◽  
Equivalent Dose ◽  
Binary Logistic Regression Analysis ◽  
Screening Methods ◽  
Clinical Predictors ◽  
Pharyngeal Dysphagia ◽  
Increased Risk

Background: Diagnosis of pharyngeal dysphagia in patients with Parkinson’s disease is often difficult as reliable screening methods are lacking so far and clinical examination fails to adequately assess the pharyngeal phase of swallowing. Objective: To identify clinical predictors indicating the presence of pharyngeal dysphagia in patients at risk. Methods: We examined pharyngeal dysphagia in a large cohort of patients with Parkinson’s disease (n = 200) divided in three clinical subtypes (tremor-dominant (TD), mainly bradykinetic (BK) and early postural instability and gait difficulty PIGD)) by using flexible endoscopic evaluation of swallowing. ANOVA-multivariance analysis and following t-tests as well as binary logistic regression analysis were performed to detect group differences and to identify clinical predictors for dysphagia. Results: Statistically significant differences were found in the dysphagic group: age, male gender, disease duration, stage of the disease, Levodopa equivalent dose and higher scores on the Unified Parkinson’s disease rating scale III and II, item 7. The PIGD subtype was affected more frequently than the TD and BK subtype. In a logistic regression model higher age (>63.5 years p < 0.05) and Levodopa equivalent dose (>475 mg, p < 0.01) were identified to be independent predictors for the presence of pharyngeal dysphagia. Conclusion: Particularly patients with an age > 63.5 years and a daily Levodopa equivalent dose >475 mg show an increased risk for pharyngeal dysphagia. These findings may partly be influenced by presbyphagia but are likely to represent disease progression. The PIGD subtype seems to be a risk factor due to more pronounced dyscoordination of oropharyngeal muscle movements.

scholarly journals Decreased eGFR Is Associated With Ischemic Stroke in Patients With Dilated Cardiomyopathy

2019 ◽  
Vol 25 ◽  
pp. 107602961986690 ◽  
Author(s):  
Yuqing Deng ◽  
Zhiqing Chen ◽  
Lili Hu ◽  
Zhenyan Xu ◽  
Jinzhu Hu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Ischemic Stroke ◽  
Dilated Cardiomyopathy ◽  
Logistic Regression Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Analysis Model ◽  
Multivariate Logistic Regression ◽  
Increased Risk

Dilated cardiomyopathy (DCM) is increasingly indicated as a cause of cardioembolic syndrome, in particular, cardioembolic ischemia stroke. However, the potential risk factors for stroke among DCM patients remain under investigated. DCM patients hospitalized from June 2011 to June 2016 were included. The cases were defined as the group of DCM patients with stroke compared with those without stroke. Clinical characteristic data were collected and compared between the two groups including demographic data, complicated diseases, echocardiography index, and laboratory parameters and estimated glomerular filtration rate (eGFR). A multivariate logistic regression analysis model adjusted by sex and age was used to explore the related risk factors for stroke in DCM patients. A total of 779 hospitalized patients with DCM were included. Of these, 55 (7.1%) had experienced a stroke. Significantly lower eGFR levels (68.03 ± 26.22 vs 79.88 ± 24.25 mL/min/1.73 m2, P = .001) and larger left atrial diameters (45.32 ± 7.79 vs 43.25 ± 7.11 mm, P = .04) were found in the group of patients having DCM with stroke compared to those without stroke. When the eGFR was categorized as eGFR >60, 30<eGFR≤ 60 and eGFR ≤ 30, there were more patients with 30<eGFR≤ 60 (30.9% vs 17.7%) and eGFR≤ 30 (9.1% vs 3.3%) in the ischemic stroke group ( P = 0.003). A multivariate logistic regression analysis model adjusted by sex and age showed that 30 <eGFR≤60 (odds ratio [OR]: 2.07, 95% confidence interval [CI]: [1.05-4.07], P = .035) and eGFR≤30 (OR: 4.04, 95% CI: [1.41-11.62], P = .009) were statistically associated with ischemic stroke in patients with DCM. It is concluded that decreased eGFR is significantly associated with an increased risk of ischemic stroke in patients with DCM.

Association of Mannose Binding Lectin (MBL-2) Deficiency with Pulmonary Infection after Allogeneic Hematopoietic Stem Cell Transplantation (HSCT).

Blood ◽  
2008 ◽  
Vol 112 (11) ◽  
pp. 2209-2209
Author(s):  
Dick Chung ◽  
Lily Ding ◽  
Isabelle Amigues ◽  
Katuna Kadeishvili ◽  
Theresa Lo ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Stem Cell ◽  
Logistic Regression Analysis ◽  
Pulmonary Infection ◽  
Multivariate Logistic Regression Analysis ◽  
Wild Type ◽  
Multivariate Logistic Regression ◽  
Increased Risk ◽  
The Relationship

Abstract Background: Low MBL2 concentration and MBL2 genotype variants have been associated with an increased risk of infection in various clinical settings. Pulmonary infection is a major complication of HSCT. We examined the relationship of MBL genotypes with post-engraftment bacterial (B-PNA) and fungal (F-PNA) pneumonia Methods: Retrospective review of 236 non-consecutive, non-selected patients who underwent HSCT at MSKCC from 1/1/2000–4/30/2007. Microbiologically confirmed infections and pneumonias were recorded. Antifungal prophylaxis consisted of fluconazole 400 mg daily. Patients at high risk for mold infection received mold-active prophylaxis. After 1/1/2006 voriconazole was the first line anti-mold prophylaxis. Genotype was determined by PR-Melting Curve Analysis on blood or buccal swab specimens. MBL genotype was classified as wild-type: A/A (MBL-sufficient, MBL-S) or variant-type: A/O, O/O (MBL deficient, MBL-D). Patients were followed for up to 2 years. Statistical analysis: Fisher’s Exact test was used to compare the incidence rate between MBL-S and MBL-D patients. Multivariate logistical regression models were used to investigate the relationship between bacterial or fungal pneumonia and MBL genotype, matched related donor (MRD), myeloablative conditioning (MC) peripheral blood as stem cell source (PBSC), acute GVHD grade 2–4 (aGVHD). The results from Maximum Likelihood Estimates were summarized. Results: Transplant characteristics: 80% MC, 76% PBSC, 48.6% MRD. Incidence of aGVHD: 22.4%. MBL genotypes: One-hundred and forty-two (60%) patients were homozygous for wild-type MBL2 (AA), 85(36%) were heterozygous (A/0) and 9 (3.8%) were homozygous for variant genotypes (OO). Transplant characteristics, rates of GVHD, relapse-free and overall survival were similar between MBL-D and MBL-S. There was higher incidence of overall bacterial infections in MBL-D compared to MBL-S pts (47.87% vs 36.62%, p=0.1049). MBL-D had a higher incidence of B-PNA (12.7% vs 4.9%, p=0.048). In multivariate logistic regression analysis, MBL-D(p=0.04) and aGVHD(p=0.06) were likely associated with B-PNA. Rates of overall fungal infections and F-PNA were similar [among MBL-D and MBL-S pts (12.77% vs 9.86%, p=0.5277) and (8.51% vs 7.75%, p=0.1049) respectively]. In multivariate logistic regression analysis only aGVHD was statistically significantly associated with F-PNA p=0.0002. Conclusions: 1) MBL-D genotype was likely associated with increased risk of bacterial pneumonia. 2) MBL-D and aGVHD were risk factors for B-PNA. 3) Further analyses are in progress to evaluate the effect of MBL-D on fungal pneumonia in patients who received mold prophylaxis versus patients who did not receive mold prophylaxis. 4) Prospective studies are needed to assess the relative contribution of MBL-D genotype on the risk of pulmonary infection in HSCT.

scholarly journals The rs13347 Polymorphism of the CD44 Gene Is Associated with the Risk of Kidney Stones Disease in the Chinese Han Population of Northeast Sichuan, China

2022 ◽  
Vol 2022 ◽  
pp. 1-6
Author(s):  
Qiao Ying ◽  
Guixi Liu ◽  
Wenjun Zhou ◽  
Jianhua Lan ◽  
Jianhui Du ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Stone Disease ◽  
Multivariate Logistic Regression ◽  
Chinese Han ◽  
Han Population ◽  
Increased Risk ◽  
Hardy Weinberg Equilibrium

Objective. To investigate the association between the rs13347 polymorphism of the CD44 gene and the risk of kidney stone disease (KSD) in the Han population of northeast Sichuan, China, so as to provide a theoretical basis for the treatment of KSD. Methods. We used PCR-restriction fragment length polymorphism (RFLP) technique to perform genotyping at rs13347 locus of the CD44 gene in the KSD group and the gontrol group. SNP Hardy-Weinberg equilibrium (HWE) testing was used to confirm the balance of genetic inheritance. Multivariate logistic regression analysis was used for the assessment of rs13347 polymorphism and the risk of developing KSD and to compare the relationship between the polymorphism of rs13347 and clinical characteristics of patients with KSD. Results. Genotypic results of rs13347 locus of the CD44 gene in the two groups were consistent with the SNP-HWE test, indicating the genetic balance. At the same time, multivariate logistic regression analysis indicated that subjects with CT and TT genotypes at rs13347 in the CD44 gene were more likely to have KSD, and there was a higher prevalence rate in males. Furthermore, carrying allele T at rs13347 was also a risk factor for KSD. In addition, people carrying CT and TT genotypes at rs13347 also have a significantly increased risk of relapsing KSD. Conclusion. The rs13347 polymorphism of the CD44 gene may be associated with the risk of KSD in the Han population of northeast Sichuan in China, and the recurrence rate of KSD in the carriers of CT and TT genotypes is higher.

scholarly journals Clinical features and risk factors analysis of bronchitis obliterans due to refractory Mycoplasma pneumoniae pneumonia in children: a nomogram prediction model

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Qi Cheng ◽  
Han Zhang ◽  
Yunxiao Shang ◽  
Yuetong Zhao ◽  
Ye Zhang ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Mycoplasma Pneumoniae ◽  
Characteristic Curve ◽  
Acute Infection ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression Model ◽  
Early Prediction ◽  
Multivariate Logistic Regression ◽  
Fiber Bronchoscopy ◽  
Wbc Count

Abstract Background Early prediction of bronchitis obliterans (BO) is of great significance to the improvement of the long-term prognosis of children caused by refractory Mycoplasma pneumoniae pneumonia (RMPP). This study aimed to establish a nomogram model to predict the risk of BO in children due to RMPP. Methods A retrospective observation was conducted to study the clinical data of children with RMPP (1–14 years old) during acute infection. According to whether there is BO observed in the bronchoscope, children were divided into BO and the non-BO groups. The multivariate logistic regression model was used to construct the nomogram model. Results One hundred and forty-one children with RMPP were finally included, of which 65 (46.0%) children with RMPP were complicated by BO. According to the multivariate logistic regression analysis, WBC count, ALB level, consolidation range exceeding 2/3 of lung lobes, timing of macrolides, glucocorticoids or fiber bronchoscopy and plastic bronchitis were independent influencing factors for the occurrence of BO and were incorporated into the nomogram. The area under the receiver operating characteristic curve (AUC-ROC) value of nomogram was 0.899 (95% confidence interval [CI] 0.848–0.950). The Hosmer–Lemeshow test showed good calibration of the nomogram (p = 0.692). Conclusion A nomogram model found by seven risk factor was successfully constructed and can use to early prediction of children with BO due to RMPP.

scholarly journals Association between Helicobacter pylori Infection and Diabetes: A Cross-Sectional Study in China

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Sailimai Man ◽  
Yuan Ma ◽  
Cheng Jin ◽  
Jun Lv ◽  
Mingkun Tong ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Subgroup Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Multivariate Logistic Regression ◽  
Cross Sectional ◽  
Increased Risk ◽  
H Pylori

Background. Studies suggest an association between H. pylori infection and extragastrointestinal disease. Limited studies provided conflicting results on the association between H. pylori infection and diabetes. The present study was aimed at examining the association between H. pylori infection and diabetes in a large health checkup population in China. Methods. A cross-sectional study was conducted; participants who attended health checkups at Beijing MJ Health Screening Center during 2017-2018 were included. H. pylori infection was diagnosed by 13C-urea breath test. Multivariate logistic regression analysis was performed to evaluate the association between H. pylori infection and diabetes. Results. The mean age of 13,397 participants was 43.8±12 years. The prevalence of H. pylori infection and diabetes was 28.2% and 8.1%, respectively. The prevalence of diabetes was higher among H. pylori-positive participants compared with their counterparts (8.9% vs 7.8%, p=0.05). After adjustment of age, sex, family history of diabetes, smoking, education, stroke, coronary heart disease, BMI, SBP, TG, HDL-C, and LDL-C, multivariate logistic regression analysis found no association between H. pylori infection and diabetes (OR 1.02, 95% CI 0.88-1.18). Additionally, subgroup analysis indicated that H. pylori infection was significantly associated with increased risk of diabetes in the female group (OR 1.09, 95% CI 1.08-1.09). Conclusions. No significant association was found between H. pylori infection and diabetes. However, the subgroup analysis suggested that H. pylori infection was possibly associated with increased risk of diabetes among females. Future cohort studies are needed to verify this association in females and to address possible implication in the prevention of diabetes.

scholarly journals Adherence to Mediterranean Diet among Students from Primary and Middle School in the Province of Taranto, 2016–2018

2020 ◽  
Vol 17 (15) ◽  
pp. 5437
Author(s):  
Guglielmo Bonaccorsi ◽  
Federica Furlan ◽  
Marisa Scocuzza ◽  
Chiara Lorini
Keyword(s):  
Logistic Regression ◽  
Nutritional Status ◽  
Mediterranean Diet ◽  
Eating Habits ◽  
Economic Status ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression Model ◽  
Multivariate Logistic Regression ◽  
Predictive Role ◽  
The Mediterranean

The Mediterranean diet represents one of the healthiest dietary patterns, but nowadays it is increasingly being ignored in schools and by families. The aim of this study is to assess the adherence to the Mediterranean diet by pupils living in a small Southern Italian municipality, and whether it is a predictor of nutritional status.The degree of adherence to the Mediterranean diet, the socio-economic status and the nutritional status of 314 students (6–14 years) were tested during the 2016/2017 and 2017/2018 school years with the help of a questionnaire comprising the Mediterranean Diet Quality Index for Children and Adolescents (KIDMED) test. Multivariate logistic regression analysis was used to assess the predictive role of the KIDMED score and the other variables with respect to nutritional status. Adherence to the Mediterranean diet is high, medium and poor in, respectively, 24.8, 56.4 and 18.8% of students; it varies depending on gender and age, with females and older students showing higher values. In the multivariate logistic regression model, sex and KIDMED level are become significant predictors of nutritional status. This study highlights the need for intervention in the form of school projects—also involving families—to promote healthier eating habits in younger generations.

scholarly journals Decision Tree Analysis: A Retrospective Analysis of Postoperative Recurrence of Adhesions in Patients with Moderate-to-Severe Intrauterine

2019 ◽  
Vol 2019 ◽  
pp. 1-8 ◽  
Author(s):  
Ru Zhu ◽  
Hua Duan ◽  
Sha Wang ◽  
Lu Gan ◽  
Qian Xu ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Decision Tree ◽  
Endometrial Thickness ◽  
Characteristic Curve ◽  
Multivariate Logistic Regression Analysis ◽  
Decision Tree Model ◽  
Classification And Regression Tree ◽  
Multivariate Logistic Regression Model ◽  
Multivariate Logistic Regression ◽  
Tree Model

Objective. To establish and validate a decision tree model to predict the recurrence of intrauterine adhesions (IUAs) in patients after separation of moderate-to-severe IUAs. Design. A retrospective study. Setting. A tertiary hysteroscopic center at a teaching hospital. Population. Patients were retrospectively selected who had undergone hysteroscopic adhesion separation surgery for treatment of moderate-to-severe IUAs. Interventions. Hysteroscopic adhesion separation surgery and second-look hysteroscopy 3 months later. Measurements and Main Results. Patients’ demographics, clinical indicators, and hysteroscopy data were collected from the electronic database of the hospital. The patients were randomly apportioned to either a training or testing set (332 and 142 patients, respectively). A decision tree model of adhesion recurrence was established with a classification and regression tree algorithm and validated with reference to a multivariate logistic regression model. The decision tree model was constructed based on the training set. The classification node variables were the risk factors for recurrence of IUAs: American Fertility Society score (root node variable), isolation barrier, endometrial thickness, tubal opening, uterine volume, and menstrual volume. The accuracies of the decision tree model and multivariate logistic regression analysis model were 75.35% and 76.06%, respectively, and areas under the receiver operating characteristic curve were 0.763 (95% CI 0.681–0.846) and 0.785 (95% CI 0.702–0.868). Conclusions. The decision tree model can readily predict the recurrence of IUAs and provides a new theoretical basis upon which clinicians can make appropriate clinical decisions.

scholarly journals Risk factors for peritoneal dialysis–associated peritonitis

2018 ◽  
Vol 16 ◽  
pp. 205873921877224
Author(s):  
Hongyue Wang ◽  
Xiangtuo Wang ◽  
Haichuan Dou ◽  
Chenhao Li ◽  
Mingji Cui ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Peritoneal Dialysis ◽  
Serum Albumin ◽  
Multivariate Logistic Regression Analysis ◽  
Roc Curves ◽  
Multivariate Logistic Regression Model ◽  
Phosphorus Concentration ◽  
Multivariate Logistic Regression ◽  
Gram Positive

The purpose of this study was to summarize the pathogens that cause peritoneal dialysis (PD)-associated peritonitis and to identify risk factors for PD-associated peritonitis. This retrospective study included 115 end-stage renal disease (ESRD) patients receiving PD therapy. Patients were categorized into two groups: peritonitis group (n = 41) and non-peritonitis group (n = 74). Clinical data and laboratory tests were collected from medical records. The multivariate logistic regression model was used to evaluate associations between PD-associated peritonitis and potential risk factors. PD-associated peritonitis occurred 54 times in 41 patients. The most frequently identified pathogen was Gram-positive cocci (57.78%). Multivariate logistic regression analysis showed that serum albumin (β = –0.208, P < 0.001), blood phosphorus concentration (β = –1.732, P = 0.001), gastrointestinal disorders (β = 1.624, P = 0.043), and use of calcitriol (β = –2.239, P = 0.048) were significantly correlated with PD-associated peritonitis. Receiver operating characteristic (ROC) curves showed that the areas under the curve were 0.832 for serum albumin and 0.700 for blood phosphorus concentration with optimal cut-off values of 29.1 g/L for serum albumin and 1.795 mmol/L for blood phosphorus concentration. Gram-positive coccus is the major pathogen responsible for PD-associated peritonitis. Serum albumin <29.1 g/L, blood phosphorus concentration <1.795 mmol/L, and intestinal disorders are risk factors for PD-associated peritonitis, whereas the use of calcitriol can reduce the risk of PD-associated peritonitis.

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