scholarly journals Diagnostic and Prognostic Values of BMPER in Patients with Urosepsis following Ureteroscopic Lithotripsy

2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
Chang Geng Xu ◽  
Yong Lian Guo
Keyword(s):  
Risk Factors ◽  
Regression Model ◽  
Adverse Outcome ◽  
Strong Predictor ◽  
Multiple Linear Regression Model ◽  
Roc Curves ◽  
Rank Test ◽  
Ureteroscopic Lithotripsy ◽  
Pressure Groups ◽  
Reactive Protein

The present study aims to investigate the risk factors for urosepsis and the diagnostic and prognostic values of the bone morphogenetic protein endothelial cell precursor-derived regulator (BMPER) in patients with urosepsis following ureteroscopic lithotripsy. A total of 305 patients with unilateral ureteral obstruction caused by calculi were included in the study. Patients were divided into three groups, namely, high, medium, and low perfusion pressure groups. The serum C-reactive protein, procalcitonin, lactate (LAC), and BMPER were measured after operation. A logistic regression model was used to assess the risk factors for postoperative urosepsis. The relationships of BMPER with laboratory parameters were explored with a multiple linear regression model. Receiver operating characteristic (ROC) curves were used to diagnosis urosepsis. The cumulative incidence of the adverse events after operation was calculated and compared by log-rank test. Forty-five patients (14.8%) had an episode of urosepsis after operation. Irrigation pressure was an independent risk factor for urosepsis. LAC and sequential organ failure assessment (SOFA) were associated with BMPER after operation. The area under curve value of BMPER for urosepsis was 0.829 (95% confidence interval [CI], 0.773 to 0.884). Uroseptic patients with higher BMPER concentration exhibited more adverse outcome. BMPER possesses valuable discriminative capacity for urosepsis and is a strong predictor of adverse outcome in patients with urosepsis.

scholarly journals Clinical risk factors and predictive tool of bacteremia in patients with cirrhosis

2020 ◽  
Vol 48 (5) ◽  
pp. 030006052091922
Author(s):  
Qiao Yang ◽  
Xian Zhong Jiang ◽  
Yong Fen Zhu ◽  
Fang Fang Lv
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Logistic Regression ◽  
Cross Validation ◽  
Bloodstream Infections ◽  
Roc Curves ◽  
Predictive Tool ◽  
Reactive Protein ◽  
Significant Difference ◽  
Fold Cross Validation

Objective We aimed to analyze the risk factors and to establish a predictive tool for the occurrence of bloodstream infections (BSI) in patients with cirrhosis. Methods A total of 2888 patients with cirrhosis were retrospectively included. Multivariate analysis for risk factors of BSI were tested using logistic regression. Multivariate logistic regression was validated using five-fold cross-validation. Results Variables that were independently associated with incidence of BSI were white blood cell count (odds ratio [OR] = 1.094, 95% confidence interval [CI] 1.063–1.127)], C-reactive protein (OR = 1.005, 95% CI 1.002–1.008), total bilirubin (OR = 1.003, 95% CI 1.002–1.004), and previous antimicrobial exposure (OR = 4.556, 95% CI 3.369–6.160); albumin (OR = 0.904, 95% CI 0.883–0.926), platelet count (OR = 0.996, 95% CI 0.994–0.998), and serum creatinine (OR = 0.989, 95% CI 0.985–0.994) were associated with lower odds of BSI. The area under receiver operating characteristic (ROC) curve of the risk assessment scale was 0.850, and its sensitivity and specificity were 0.762 and 0.801, respectively. There was no significant difference between the ROC curves of cross-validation and risk assessment. Conclusions We developed a predictive tool for BSI in patients with cirrhosis, which could help with early identification of such episodes at admission, to improve outcome in these patients.

scholarly journals Characteristics of Objective Sleep and Its Related Risk Factors Among Parkinson's Disease Patients With and Without Restless Legs Syndrome

2021 ◽  
Vol 12 ◽  
Author(s):  
Shuyu Sun ◽  
Xianchao Zhao ◽  
Jiafeng Ren ◽  
Jinxiang Cheng ◽  
Junying Zhou ◽  
...  
Keyword(s):  
Risk Factors ◽  
Linear Regression ◽  
Sleep Quality ◽  
Regression Model ◽  
Multiple Linear Regression ◽  
Restless Legs Syndrome ◽  
Linear Regression Model ◽  
Multiple Linear Regression Model ◽  
Restless Legs ◽  
Related Risk

Objective: This study aimed to investigate the objective sleep characteristics and their related risk factors among Parkinson's disease (PD) patients with and without restless legs syndrome (RLS).Methods: A total of 125 patients with PD who underwent overnight polysomnography (PSG) were recruited consecutively. Eighty-one patients, including 27 PD with RLS (PD-RLS) and 54 PD without RLS (PD-NRLS), were included in the final analysis after 1:2 propensity score matching. Demographic, clinical, and polysomnographic data were compared between PD patients with and without RLS. The risk factors for sleep quality were examined using a multiple linear regression model.Results: The prevalence of RLS among PD patients was 28.0% (35/125). The PD-RLS group exhibited a higher score for the Unified Parkinson Disease Rating Scale (UPDRS) III than the PD-NRLS group. Also, the PD-RLS patients displayed significantly shorter total sleep times, worse sleep quality, decreased stage 3 duration, a longer wake time after sleep onset, and a higher arousal index than those without RLS (all p < 0.05). In the multiple linear regression model, PD duration (β = −0.363, 95% CI: −0.652 to −0.074; p = 0.016), UPDRS-III (β = −0.356, 95% CI: −0.641 to −0.071; p = 0.016), and periodic limb movement index (PLMI) (β = −0.472, 95% CI: −0.757 to −0.187; p = 0.002) were determined to be the risk factors influencing sleep quality in PD-RLS patients. The UPDRS-III (β = −0.347, 95% CI: −0.590 to −0.104; p = 0.006) and HAMD scores (β = −0.343, 95% CI: −0.586 to −0.100; p = 0.007) were significantly associated with sleep quality after adjusting for confounding factors in PD-NRLS patients, respectively.Conclusions: PD-RLS patients exhibited more disturbed and fragmented sleep in objective sleep architecture than PD-NRLS patients. The severity of motor symptoms in PD was significantly associated with poor sleep quality in both PD-RLS and PD-NRLS patients. Notably, our findings indicated that periodic limb movements during sleep (PLMS) was the risk factor that influenced the objective sleep quality in PD patients with RLS.

The diagnosis and prognosis of coronary microvascular disease using PET/CT

2021 ◽  
pp. 1-14
Author(s):  
Xi Zhang ◽  
Hui Li ◽  
Ping Wu ◽  
Lin Yuan ◽  
Zhifang Wu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Family History ◽  
Regression Model ◽  
Multiple Linear Regression Model ◽  
Microvascular Disease ◽  
Diabetic Patients ◽  
Diagnosis And Prognosis ◽  
Flow Reserve ◽  
Calcification Score ◽  
Pet Ct

OBJECTIVE: This study aimed to evaluate the diagnostic and prognostic value of 13N–NH3·H2O positron emission tomography combined with computed tomography (PET/CT) for non-obstructive coronary microvascular disease (CMVD). METHODS: A retrospective analysis was conducted on 70 patients with clinically suspected non-obstructive CMVD (35 males, 35 females) between March 2017 and August 2019. The average age of the patients was 53.32±7.82 years. The patients underwent 13N–NH3·H2O PET/CT and were divided into two groups based on diagnostic criteria: a CMVD group and a non-CMVD group. They were then followed up for 180–1,095 days. Data were analyzed using an χ 2 test, the logistic regression model, the multiple linear regression model, the Kaplan–Meier method, the Cox proportional hazards regression model, and a receiver operating characteristic (ROC) curve. RESULTS: (1) The incidence of cardiovascular family history and a high calcification score (11–400) was higher in the CMVD group than in the non-CMVD group (58.8% vs. 20.8% and 29.4% vs. 5.7%, respectively; P <  0.05 for all), stress myocardial blood flow (MBF) and coronary flow reserve (CFR) values were lower in the CMVD group than in the non-CMVD group (2.280±0.693 vs. 3.641±1.365 and 2.142±0.339 vs. 3.700±1.123, respectively), and calcification score was higher in the CMVD group than in the non-CMVD group (110.18±165.07 vs. 13.21±41.68, respectively; P <  0.05 for all). Gender and diabetes were risk factors for stress MBF reduction (β= 1.287 and β= –0.636, respectively), calcification score and hypertension were risk factors for CFR reduction (β= –0.004 and β= –0.654, respectively), and hypertension, family history, and calcification score were risk factors in the CMVD group (OR = 7.323, OR = 5.108, OR = 1.012, respectively; P <  0.05 for all). (2) The prognosis of patients with CFR <  2.5 was worse than that of patients with CFR≥2.5 (x 2 value: 27.404, P <  0.001). The risk of adverse cardiovascular events in diabetic patients was also increased (β= 0.328, P <  0.001). When CFR was set to 2.595, the prognostic sensitivity was 94% and the specificity was 80%. CONCLUSION: The technology of 13N–NH3·H2O PET/CT can be used for the diagnosis and prognosis of non-obstructive CMVD. Cardiovascular risk factors are related to the occurrence and prognosis of CMVD.

Complementary Effects of Multivitamin and Omega-3 Fatty Acid Supplementation on Indices of Cardiovascular Health in Individuals with Elevated Homocysteine

2012 ◽  
Vol 82 (1) ◽  
pp. 41-52 ◽  
Author(s):  
P. Earnest ◽  
S. Kupper ◽  
M. Thompson ◽  
Guo ◽  
S. Church
Keyword(s):  
Risk Factors ◽  
Cardiovascular Health ◽  
Omega 3 Fatty Acids ◽  
Omega 3 ◽  
C Reactive Protein ◽  
Fatty Acid Supplementation ◽  
Omega 3 Fatty Acid ◽  
Reactive Protein ◽  
Daily Ingestion

Homocysteine (HCY), C-reactive protein (hsCRP), and triglycerides (TG) are risk factors for cardiovascular disease (CVD). While multivitamins (MVit) may reduce HCY and hsCRP, omega-3 fatty acids (N3) reduce TG; yet, they are seldom studied simultaneously. We randomly assigned 100 participants with baseline HCY (> 8.0 umol/L) to the daily ingestion of: (1) placebo, (2) MVit (VitC: 200 mg; VitE: 400 IU; VitB6: 25 mg; Folic Acid: 400 ug; VitB12: 400 ug) + placebo, (3) N3 (2 g N3, 760 mg EPA, 440 mg DHA)+placebo, or (4) MVit + N3 for 12 weeks. At follow-up, we observed significant reductions in HCY (umol/L) for the MVit (- 1.43, 95 %CI, - 2.39, - 0.47) and MVit + N3 groups (- 1.01, 95 %CI, - 1.98, - 0.04) groups, both being significant (p < 0.05) vs. placebo (- 0.57, 95 %CI, - 1.49, 0.35) and N3 (1.11, 95 % CI, 0.07, 2.17). hsCRP (nmol/L) was significantly reduced in the MVit (- 6.00, 95 %CI, - 1.04, - 0.15) and MVit + N3 (- 0.98, 95 %CI, - 1.51, - 0.46) groups, but not vs. placebo (- 0.15, 95 %CI, - 0.74, 0.43) or N3 (- 0.53, 95 %CI, - 1.18, 0.12). Lastly, we observed significant reductions in TG for the N3 (- 0.41, 95 %CI, - 0.69, - 0.13) and MVit + N3 (- 0.71, 95 %CI, - 0.93, - 0.46) groups, both significant vs. placebo (- 0.10, 95 %CI, - 0.36, 0.17) and MVit groups (0.15, 95 %CI, - 12, 0.42). The co-ingestion of MVit + N3 provides synergistic affects on HCY, hsCRP, and plasma TG.

Reoperation for device infection and erosion following deep brain stimulation implantable pulse generator placement

2020 ◽  
Vol 133 (2) ◽  
pp. 403-410 ◽  
Author(s):  
Travis J. Atchley ◽  
Nicholas M. B. Laskay ◽  
Brandon A. Sherrod ◽  
A. K. M. Fazlur Rahman ◽  
Harrison C. Walker ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Deep Brain Stimulation ◽  
Brain Stimulation ◽  
Movement Disorders ◽  
Pulse Generator ◽  
Rank Test ◽  
Implantable Pulse Generator ◽  
Device Infection ◽  
Deep Brain

OBJECTIVEInfection and erosion following implantable pulse generator (IPG) placement are associated with morbidity and cost for patients with deep brain stimulation (DBS) systems. Here, the authors provide a detailed characterization of infection and erosion events in a large cohort that underwent DBS surgery for movement disorders.METHODSThe authors retrospectively reviewed consecutive IPG placements and replacements in patients who had undergone DBS surgery for movement disorders at the University of Alabama at Birmingham between 2013 and 2016. IPG procedures occurring before 2013 in these patients were also captured. Descriptive statistics, survival analyses, and logistic regression were performed using generalized linear mixed effects models to examine risk factors for the primary outcomes of interest: infection within 1 year or erosion within 2 years of IPG placement.RESULTSIn the study period, 384 patients underwent a total of 995 IPG procedures (46.4% were initial placements) and had a median follow-up of 2.9 years. Reoperation for infection occurred after 27 procedures (2.7%) in 21 patients (5.5%). No difference in the infection rate was observed for initial placement versus replacement (p = 0.838). Reoperation for erosion occurred after 16 procedures (1.6%) in 15 patients (3.9%). Median time to reoperation for infection and erosion was 51 days (IQR 24–129 days) and 149 days (IQR 112–285 days), respectively. Four patients with infection (19.0%) developed a second infection requiring a same-side reoperation, two of whom developed a third infection. Intraoperative vancomycin powder was used in 158 cases (15.9%) and did not decrease the infection risk (infected: 3.2% with vancomycin vs 2.6% without, p = 0.922, log-rank test). On logistic regression, a previous infection increased the risk for infection (OR 35.0, 95% CI 7.9–156.2, p < 0.0001) and a lower patient BMI was a risk factor for erosion (BMI ≤ 24 kg/m2: OR 3.1, 95% CI 1.1–8.6, p = 0.03).CONCLUSIONSIPG-related infection and erosion following DBS surgery are uncommon but clinically significant events. Their respective timelines and risk factors suggest different etiologies and thus different potential corrective procedures.

An Enhanced Multiple Linear Regression Model for Seasonal Rainfall Prediction

2020 ◽  
Vol 10 (4) ◽  
pp. 473-483
Author(s):  
Pundra Chandra Shaker Reddy ◽  
Alladi Sureshbabu
Keyword(s):  
Linear Regression ◽  
Regression Model ◽  
Multiple Linear Regression ◽  
Linear Regression Model ◽  
Weather Prediction ◽  
Big Data Analytics ◽  
Multiple Linear Regression Model ◽  
Seasonal Rainfall ◽  
Climate Data ◽  
Rainfall Forecasting

Aims & Background: India is a country which has exemplary climate circumstances comprising of different seasons and topographical conditions like high temperatures, cold atmosphere, and drought, heavy rainfall seasonal wise. These utmost varieties in climate make us exact weather prediction is a challenging task. Majority people of the country depend on agriculture. Farmers require climate information to decide the planting. Weather prediction turns into an orientation in farming sector to deciding the start of the planting season and furthermore quality and amount of their harvesting. One of the variables are influencing agriculture is rainfall. Objectives & Methods: The main goal of this project is early and proper rainfall forecasting, that helpful to people who live in regions which are inclined natural calamities such as floods and it helps agriculturists for decision making in their crop and water management using big data analytics which produces high in terms of profit and production for farmers. In this project, we proposed an advanced automated framework called Enhanced Multiple Linear Regression Model (EMLRM) with MapReduce algorithm and Hadoop file system. We used climate data from IMD (Indian Metrological Department, Hyderabad) in 1901 to 2002 period. Results: Our experimental outcomes demonstrate that the proposed model forecasting the rainfall with better accuracy compared with other existing models. Conclusion: The results of the analysis will help the farmers to adopt effective modeling approach by anticipating long-term seasonal rainfall.

scholarly journals FRI0420 ASSOCIATION BETWEEN RED BLOOD CELLS DISTRIBUTION WIDTH AND CARDIOVASCULAR RISK IN OSTEOARTHRITIS

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 808.2-808
Author(s):  
N. Hammam ◽  
G. Salem ◽  
D. Fouad ◽  
S. Rashad
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Functional Limitations ◽  
Functional Limitation ◽  
C Reactive Protein ◽  
Cvd Risk Factors ◽  
Cvd Risk ◽  
Distribution Width ◽  
Reactive Protein ◽  
Lipid Panel

Background:Osteoarthritis (OA) is the most common joint disease that results in patient’s morbidity and disabilities. There is strong evidence that OA is a significant risk factor for cardiovascular disease (CVD). Red cell distribution width (RDW) blood test is a measure of the variation in red blood cell volume and size. Elevated RDW has recently been found to correlate with CVD risk in patients with and without heart disease and autoimmune diseases. RDW may be a marker for factors driving CVS risk.Objectives:: To investigate whether RDW can serve as a potential parameter for indicating cardiovascular risk in OA patients.Methods:A subsample of 819 OA patients was extracted from 2003-2006 National Health & Nutrition Examination Survey in a cross-sectional study. 63.7% of them were females. Their mean age was 66.4 ± 14.1 yrs. Demographic, medical data, inflammatory markers & lipid panel were obtained. Only patients with Haemoglobin>12 mg/dl were included. Functional limitations were assessed using a physical function questionnaire.Results:Elevated levels of RDW were associated with CVD risk factors in OA patients. 532 (65.8%) OA patients had functional limitations, while 78 (9.5%) and 63 (7.6%) known to have heart attacks or stroke ever. Mean RDW was 12.9±1.1fL. There was a positive significant correlation between RDW & CVD risk factors including body mass index (r=0.17, p<0.001), C-reactive protein (r=0.29, p<0.001), serum uric acid (r=0.12, p<0.001), and functional limitation (0.16, p<0.001). No significant association between RDW & lipid panel was found. In multiple regression analysis controlling for age, sex as covariates, body mass index (β =0.02, 95%CI: 0.01, 0.03, p=0.002), C-reactive protein (β =0.35, 95%CI: 0.26, 0.45, p<0.001), and functional limitation (β =0.18, 95%CI: 0.13, 0.35, p=0.03).Conclusion:In addition to known CVD risk in OA patients, elevated RDW levels should prompt physicians to aggressively screen and treat their patients for modifiable CVS risk factors, in addition to OA.Disclosure of Interests:None declared

scholarly journals The association of parameters of body composition and laboratory markers with the severity of hypertriglyceridemia-induced pancreatitis

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Lifang Chen ◽  
Yingbao Huang ◽  
Huajun Yu ◽  
Kehua Pan ◽  
Zhao Zhang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Body Composition ◽  
Adipose Tissue ◽  
Serum Albumin ◽  
C Reactive Protein ◽  
Reactive Protein ◽  
Apolipoprotein A ◽  
Laboratory Markers ◽  
Subcutaneous Adipose ◽  
Low Serum

AbstractBackgroundHypertriglyceridemia has arisen as the third leading cause of acute pancreatitis. This study aimed at exploring the association between the severity of hypertriglyceridemia-induced pancreatitis (HTGP) and computed tomography (CT)-based body composition parameters and laboratory markers.MethodsLaboratory and clinical parameters were collected from 242 patients with HTGP between 2017 and 2020. Severity of HTGP was evaluated by original or modified CT severity index. Body composition parameters such as area and radiodensity of muscle, subcutaneous adipose tissue and visceral adipose tissue were calculated by CT at the level of third lumbar vertebra. Parameters were compared between mild and moderately severe to severe HTGP. Uni-variate and multi-variate Logistic regression analyses were employed to assess the risk factors of the severity of HTGP.ResultsSeventy patients (28.9%) presented with mild HTGP. Body mass index, waist circumference and all CT-based body composition parameters differed between male and female patients. None was associated with the severity of HTGP, neither in males nor in females. Receiver operating characteristic curves showed that areas under the curves of apolipoprotein A-I and albumin to predict the severity of HTGP were 0.786 and 0.759, respectively (allP < 0.001). Uni-variate and further multi-variate Logistic regression analysis confirmed that low serum albumin (< 35 g/L,P = 0.004, OR = 3.362, 95%CI = 1.492–8.823) and apolipoprotein A-I (< 1.1 g/L,P < 0.001, OR = 5.126, 95%CI = 2.348–11.195), as well as high C-reactive protein (> 90 mg/L,P = 0.005, OR = 3.061, 95%CI = 1.407–6.659) and lipase (P = 0.033, OR = 2.283, 95%CI = 1.070–4.873) were risk factors of moderately severe to severe HTGP. Levels of albumin, apolipoprotein A-I, C-reactive protein and lipase were also associated with the length of hospital stay (allP < 0.05). Besides, low serum albumin, low-density lipoprotein cholesterol and high radiodensity of subcutaneous adipose tissue were significant risk factors of pancreatic necrosis in patients with HTGP (allP < 0.05).ConclusionsLow serum albumin and apolipoprotein A-I, and high C-reactive protein and lipase upon admission were associated with a more severe type of HTGP and longer hospital stay for these patients. Albumin and apolipoprotein A-I may serve as novel biomarkers for the severity of HTGP. However, none of the body composition parameters was associated with the severity of HTGP.

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