Epidemiology of MRSA CC398 in hospitals located in Spanish regions with different pig-farming densities: a multicentre study

2019 ◽  
Vol 74 (8) ◽  
pp. 2157-2161 ◽  
Author(s):  
Sara Ceballos ◽  
Carmen Aspiroz ◽  
Laura Ruiz-Ripa ◽  
Esteban Reynaga ◽  
José Manuel Azcona-Gutiérrez ◽  
...  
Keyword(s):  
Risk Factor ◽  
Immune Evasion ◽  
Regression Models ◽  
Human Population ◽  
Methicillin Resistance ◽  
Tetracycline Resistance ◽  
Linear Regression Models ◽  
Pig Farming ◽  
Spa Types ◽  
Immune Evasion Cluster

Abstract Background Tetracycline resistance (TetR) is a marker of livestock-associated MRSA of lineage CC398. Objectives To determine the MRSA CC398 prevalence among TetR-MRSA recovered in Spanish hospitals located in regions with different pig-farming densities, and the influence of pig density as a key risk factor for its acquisition. Methods TetR-MRSA isolates (n = 232) recovered from clinical and epidemiological samples during January–June 2016 in 20 hospitals in 13 regions with different pig-farming densities were analysed. MRSA CC398 identification, detection of spa types, methicillin resistance genes and immune evasion cluster (IEC) genes were performed by PCR/sequencing. Statistical analyses were performed to establish the relationships between MRSA CC398 prevalence and pig density. Results The global MRSA prevalence was 29.7% (6.9% TetR-MRSA/MRSA), with 137 CC398 isolates recovered, representing 4.1% of total MRSA and 59.1% of TetR-MRSA. Among MRSA CC398, 16 different spa types were recorded (t011: 72.3%), and all but two strains were IEC negative. Higher pig-density regions were associated with significant MRSA CC398 increases in hospitals located in adjacent regions (P < 0.001). Linear regression models explained the relationships between MRSA CC398 and pig density (P < 0.001), with an increase of 6.6 MRSA CC398 cases per 100 MRSA per increase of 100 pigs/km2 in a region. Conclusions High pig density leads to a significant increase in MRSA CC398 in hospitals in Spain, and its combination with a high human population could help its dissemination. In Spain, the prevalence of the zoonotic CC398 lineage is closely related to pig-farming density; therefore, specific tools could be implemented in order to detect its dissemination.

Abstract WMP14: Association of Systolic Blood Pressure, LDL Cholesterol, and Hgb A1c With White Matter Hyperintensity on MRI in the ACCORDION MIND Study

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Adam H de Havenon ◽  
Tanya Turan ◽  
Rebecca Gottesman ◽  
Sharon Yeatts ◽  
Shyam Prabhakaran ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Risk Factor ◽  
Regression Models ◽  
Ldl Cholesterol ◽  
Vascular Risk Factor ◽  
White Matter Hyperintensity ◽  
Vascular Risk ◽  
Linear Regression Models ◽  
Risk Factor Profile ◽  
The Mean

Introduction: While retrospective studies have shown that poor control of vascular risk factors is associated with progression of white matter hyperintensity (WMH), it has not been studied prospectively. Hypothesis: We hypothesize that higher systolic blood pressure (SBP) mean, LDL cholesterol, and Hgb A1c will be correlated with WMH progression in diabetics. Methods: This is a secondary analysis of the Memory in Diabetes (MIND) substudy of the Action to Control Cardiovascular Risk in Diabetes Follow-on Study (ACCORDION). The primary outcome was WMH progression, evaluated by fitting linear regression models to the WMH volume on the month 80 MRI and adjusting for the WMH volume on the baseline MRI. The primary predictors were the mean values of SBP, LDL, and A1c from baseline to month 80. We defined a good vascular risk factor profile as mean SBP <120 mm Hg and mean LDL <120 mg/dL. Results: We included 292 patients, with a mean (SD) age of 62.6 (5.3) years and 55.8% male. The mean number of SBP, LDL, and A1c measurements per patient was 17, 5, and 12. We identified 86 (29.4%) patients with good vascular risk factor profile. In the linear regression models, mean SBP and LDL were associated with WMH progression and in a second fully adjusted model they both remained associated with WMH progression (Table). Those with a good vascular risk factor profile had less WMH progression (β Coefficient -0.80, 95% CI -1.42, -0.18, p=0.012). Conclusions: Our data reinforce prior research showing that higher SBP and LDL is associated with progression of WMH in diabetics, likely secondary to chronic microvascular ischemia, and suggest that control of these factors may have protective effects. This study has unique strengths, including prospective serial measurement of the exposures, validated algorithmic measurement methodology for WMH, and rigorous adjudication of study data. Clinical trials are needed to investigate the effect of vascular risk factor reduction on WMH progression.

Presence of Immune Evasion Cluster and Molecular Typing of Methicillin-Susceptible Staphylococcus aureus Isolated from Food Handlers

2016 ◽  
Vol 79 (4) ◽  
pp. 682-686 ◽  
Author(s):  
LÍVIA G. BAPTISTÃO ◽  
NATHALIA C. C. SILVA ◽  
ERIKA C. R. BONSAGLIA ◽  
BRUNA F. ROSSI ◽  
IVANA G. CASTILHO ◽  
...  
Keyword(s):  
Staphylococcus Aureus ◽  
Immune Evasion ◽  
Close Contact ◽  
Meca Gene ◽  
Low Frequency ◽  
Food Handlers ◽  
Spa Typing ◽  
Typing Method ◽  
Spa Types ◽  
Immune Evasion Cluster

ABSTRACT The hands and noses of food handlers colonized by Staphylococcus aureus are an important source of food contamination in restaurants and food processing. Several virulence factors can be carried by mobile elements in strains of S. aureus, including the immune evasion cluster (IEC). This gene cluster improves the capacity of S. aureus to evade the human immune response. Many studies have reported the transmission of strains between animals and humans, such as farm workers that have close contact with livestock. However, there are few studies on the transmission between food and food handlers. The aim of this study was to detect the IEC and the mecA gene in strains isolated from food handlers and to type these strains using the spa typing method. Thirty-five strains of S. aureus isolated from the noses and hands of food handlers in three different kitchens were analyzed for the presence of the mecA gene and IEC and by spa typing. All strains were negative for the mecA gene, and the presence of IEC was observed in 10 (28.6%) strains. Fifteen different spa types were observed, with the most frequent being t127 (42.85%) and t002 (11.42%). Strains from the two most prevalent spa types and a novel spa type were typed by multilocus sequence typing. spa types t127, t002, and t13335 were determined to be multilocus sequence types (ST) ST-30, ST-5, and ST-45, respectively. The food handlers may have been contaminated by these strains of S. aureus through food, which is suggested by the low frequency of IEC and by ST that are observed more commonly in animals.

scholarly journals 822. Tenofovir Alafenamide (TAF) is an Independent Risk Factor for Hyperlipidemia in Persons with Human Immunodeficiency Virus (HIV) on Antiretroviral Therapy (ART)

2021 ◽  
Vol 8 (Supplement_1) ◽  
pp. S504-S504
Author(s):  
Yesha Patel ◽  
Anjali Doshi ◽  
Anna Levesque ◽  
Shelsie Lindor ◽  
Robert Moranville ◽  
...  
Keyword(s):  
Human Immunodeficiency Virus ◽  
Risk Factor ◽  
Linear Regression ◽  
Regression Models ◽  
Independent Risk Factor ◽  
Research Study ◽  
Hdl Cholesterol ◽  
Linear Regression Models ◽  
Study Investigator ◽  
Immunodeficiency Virus

Abstract Background ART-associated weight gain, metabolic disorders, and co-morbidities such as cardiovascular disease are challenges in long-term human immunodeficiency virus (HIV) care. We explore the effects of different ART classes on lipids at The Ohio State University Medical Center Infectious Diseases Clinic. Methods This was a retrospective, cohort study of adult PWH on ART for ≥ 3 months seen at our clinic from 1/1/2015 to 1/1/2017. Patients with CD4+ count &lt; 200 cells/mm3 and viral load &gt;200 copies/mL, history of malignancy, or pregnancy were excluded. Lipid values were collected over the study period. The primary outcome was change in total cholesterol (TC), high density lipoprotein (HDL) cholesterol, and non-HDL cholesterol over the study period. Multivariable regression was used to model these outcomes. Results Among 411 PWH who met criteria, 87.4% were male, and 43.3% had a baseline diagnosis of hyperlipidemia. 21.1% were on a protease inhibitor (PI), 45% were on a non-nucleoside reverse transcriptase inhibitor (NNRTI), and 37% were on an integrase strand transfer inhibitor (INSTI). 70.1% were on tenofovir disoproxil fumarate (TDF)/ emtricitabine (FTC), 20.7% were on abacavir (ABC)/ lamivudine (3TC), and 4.4% were on TAF/FTC. The mean population (MP) difference in TC was -1.54 ± 1.34 mg/dL (p=0.25), the MP difference in non-HDL cholesterol was -1.78 ± 1.26 mg/dL (p=0.16), and the MP difference in HDL cholesterol was 0.24 ± 0.43 mg/dL (p=0.6). In multivariable linear regression models (Table 1), TAF/FTC was associated with a change of TC of 18.2 ± 6.4 mg/dL (P= 0.005), a change of non-HDL cholesterol of 12.0 ± 6.0 mg/dL (p=0.046), and a change of HDL cholesterol of 6.2 ± 2.1 mg/dL (p=0.003). These models included terms for months of follow up, male gender and baseline hyperlipidemia. Though race, diabetes mellitus, and ethnicity were not significant in the model, after adjustments for them, PWH on TAF/FTC showed a change of TC of 18.0 ± 6.4 mg/dL (p=0.005), a change of non-HDL cholesterol of 11.8 ± 6.0 mg/dL (P=0.051), and a change of HDL of 6.2 ± 2.1 (p=0.03). Multivariable Linear Regression Models for Change in Total Cholesterol and Non-HDL Cholesterol Conclusion Prior studies have shown an increase in lipid levels associated with TAF compared to TDF. This study shows that TAF is an independent risk factor for increased TC, non-HDL cholesterol, and HDL cholesterol in the PWH population as a whole. Disclosures Carlos Malvestutto, M.D., Lilly (Scientific Research Study Investigator)Regeneron Inc. (Scientific Research Study Investigator)ViiV Healthcare (Advisor or Review Panel member)

scholarly journals Lonely in the City–Sociodemographic Status and Somatic Morbidities as Predictors of Loneliness and Depression among Seniors–Preliminary Results

2021 ◽  
Vol 18 (14) ◽  
pp. 7213
Author(s):  
Kasper Sipowicz ◽  
Marlena Podlecka ◽  
Łukasz Mokros ◽  
Tadeusz Pietras
Keyword(s):  
Social Support ◽  
Older Adults ◽  
Primary Care ◽  
Risk Factor ◽  
Regression Models ◽  
Group Living ◽  
Living Alone ◽  
Linear Regression Models ◽  
Sociodemographic Data ◽  
The City

Up to a third of the population of older adults has been estimated to suffer from feelings of loneliness, which is considered a risk factor of depression. The aim of this paper is to compare the perceived level of loneliness and depression in seniors living in the country and in the cities and assess somatic morbidity and sociodemographic status as predictors of loneliness and depressiveness. n = 92 older adults in primary care units filled out a set of questionnaires: authors’ survey on sociodemographic data and morbidities, Beck Depression Inventory II (BDI, to measure depressiveness) and De Jong Gierveld Loneliness Scale (DJGLS, to assess loneliness). There was a strong, positive and statistically significant correlation between the BDI and DJGLS scores (R = 0.855, p < 0.001). City residents had on average higher BDI and DJGLS scores. Linear regression models were constructed to predict BDI and DJGLS scores. The set of statistically significant predictors were similar for BDI and DJGLS. Sociodemographic status and somatic morbidities accounted for around 90% of variance of depressiveness and loneliness scores in the studied group. Living alone was found to be the strongest relative predictor of both loneliness and depressiveness in the studied sample of the older adults. Our current results suggest that there might be a need to improve social support in the late adulthood as an intervention to diminish the sense of loneliness and depressiveness.

FAKTOR DETERMINAN PENYALURAN KREDIT BANK PERSERO

2018 ◽  
Vol 23 (1) ◽  
pp. 60-71
Author(s):  
Wigiyanti Masodah
Keyword(s):  
Interest Rate ◽  
Linear Regression ◽  
Interest Rates ◽  
Regression Models ◽  
Linear Regression Models ◽  
Negative Impacts ◽  
Main Activity ◽  
The Impact ◽  
The Given ◽  
Multiple Linear Regression Models

Offering credit is the main activity of a Bank. There are some considerations when a bank offers credit, that includes Interest Rates, Inflation, and NPL. This study aims to find out the impact of Variable Interest Rates, Inflation variables and NPL variables on credit disbursed. The object in this study is state-owned banks. The method of analysis in this study uses multiple linear regression models. The results of the study have shown that Interest Rates and NPL gave some negative impacts on the given credit. Meanwhile, Inflation variable does not have a significant effect on credit given. Keywords: Interest Rate, Inflation, NPL, offered Credit.

Linear Regression Models for Interval-Valued Data using Log-transformation

2020 ◽  
Author(s):  
Nykolas Mayko Maia Barbosa ◽  
João Paulo Pordeus Gomes ◽  
César Lincoln Cavalcante Mattos ◽  
Diêgo Farias Oliveira
Keyword(s):  
Linear Regression ◽  
Regression Models ◽  
Linear Regression Models ◽  
Log Transformation ◽  
Interval Valued

THE PREDICTIVE CONTENT OF DISAGGREGATED NORMAL INCOME: An Empirical Study in the JSX

2003 ◽  
Vol 5 (3) ◽  
pp. 363 ◽  
Author(s):  
Slamet Sugiri
Keyword(s):  
Linear Regression ◽  
Regression Models ◽  
Stock Exchange ◽  
Manufacturing Firms ◽  
Single Step ◽  
Model Parameters ◽  
Linear Regression Models ◽  
Operating Income ◽  
Predictive Content ◽  
Multiple Step

The main objective of this study is to examine a hypothesis that the predictive content of normal income disaggregated into operating income and nonoperating income outperforms that of aggregated normal income in predicting future cash flow. To test the hypothesis, linear regression models are developed. The model parameters are estimated based on fifty-five manufacturing firms listed in the Jakarta Stock Exchange (JSX) up to the end of 1997.This study finds that empirical evidence supports the hypothesis. This evidence supports arguments that, in reporting income from continuing operations, multiple-step approach is preferred to single-step one.

scholarly journals Relationships between test positivity rate, total laboratory confirmed cases of malaria, and malaria incidence in high burden settings of Uganda: an ecological analysis

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Jaffer Okiring ◽  
Adrienne Epstein ◽  
Jane F. Namuganga ◽  
Victor Kamya ◽  
Asadu Sserwanga ◽  
...  
Keyword(s):  
Regression Models ◽  
Malaria Incidence ◽  
Temporal Changes ◽  
Linear Regression Models ◽  
High Burden ◽  
Exponential Regression ◽  
Malaria Morbidity ◽  
Laboratory Test Results ◽  
Combining Data ◽  
Catchment Areas

Abstract Background Malaria surveillance is critical for monitoring changes in malaria morbidity over time. National Malaria Control Programmes often rely on surrogate measures of malaria incidence, including the test positivity rate (TPR) and total laboratory confirmed cases of malaria (TCM), to monitor trends in malaria morbidity. However, there are limited data on the accuracy of TPR and TCM for predicting temporal changes in malaria incidence, especially in high burden settings. Methods This study leveraged data from 5 malaria reference centres (MRCs) located in high burden settings over a 15-month period from November 2018 through January 2020 as part of an enhanced health facility-based surveillance system established in Uganda. Individual level data were collected from all outpatients including demographics, laboratory test results, and village of residence. Estimates of malaria incidence were derived from catchment areas around the MRCs. Temporal relationships between monthly aggregate measures of TPR and TCM relative to estimates of malaria incidence were examined using linear and exponential regression models. Results A total of 149,739 outpatient visits to the 5 MRCs were recorded. Overall, malaria was suspected in 73.4% of visits, 99.1% of patients with suspected malaria received a diagnostic test, and 69.7% of those tested for malaria were positive. Temporal correlations between monthly measures of TPR and malaria incidence using linear and exponential regression models were relatively poor, with small changes in TPR frequently associated with large changes in malaria incidence. Linear regression models of temporal changes in TCM provided the most parsimonious and accurate predictor of changes in malaria incidence, with adjusted R2 values ranging from 0.81 to 0.98 across the 5 MRCs. However, the slope of the regression lines indicating the change in malaria incidence per unit change in TCM varied from 0.57 to 2.13 across the 5 MRCs, and when combining data across all 5 sites, the R2 value reduced to 0.38. Conclusions In high malaria burden areas of Uganda, site-specific temporal changes in TCM had a strong linear relationship with malaria incidence and were a more useful metric than TPR. However, caution should be taken when comparing changes in TCM across sites.

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