Cross-sectional study to identify risk factors associated with the occurrence of antimicrobial resistance genes in honey bees Apis mellifera) in Umbria, Central Italy

2020 ◽  
Vol 27 (9) ◽  
pp. 9637-9645 ◽  
Author(s):  
Beniamino T. Cenci-Goga ◽  
Paola Sechi ◽  
Musafiri Karama ◽  
Rosa Ciavarella ◽  
Maria Vittoria Pipistrelli ◽  
...  
Keyword(s):  
Risk Factors ◽  
Apis Mellifera ◽  
Antimicrobial Resistance ◽  
Honey Bees ◽  
Central Italy ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Factors Associated ◽  
Antimicrobial Resistance Genes

scholarly journals A retrospective cross-sectional study for predicting 72-h mortality in patients with serum aspartate aminotransferase levels ≥ 3000 U/L

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Kai Saito ◽  
Hitoshi Sugawara ◽  
Tamami Watanabe ◽  
Akira Ishii ◽  
Takahiko Fukuchi
Keyword(s):  
Risk Factors ◽  
Alkaline Phosphatase ◽  
Creatine Kinase ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Sodium Potassium ◽  
Factors Associated ◽  
C Statistic ◽  
Serum Aspartate Aminotransferase

AbstractRisk factors associated with 72-h mortality in patients with extremely high serum aspartate aminotransferase levels (AST; ≥ 3000 U/L) are unknown. This single-centre, retrospective, case-controlled, cross-sectional study obtained data from medical records of adult patients treated at Saitama Medical Center, Japan, from 2005 to 2019. We conducted a multivariate logistic after adjusting for age, sex, height, weight, body mass index, Brinkman Index, vital signs, biochemical values, updated Charlson Comorbidity Index (CCI) score, CCI components, and underlying causes. A logistic regression model with selected validity risks and higher C-statistic for predicting 72-h mortality was established. During the 15-year period, 428 patients (133 non-survivors and 295 survivors [cases and controls by survival < 72 and ≥ 72 h, respectively]) with AST levels ≥ 3000 U/L were identified. The 72-h mortality rate was 133/428 (31.1%). The model used for predicting 72-h mortality through the assessment of alkaline phosphatase, creatine kinase, serum sodium, potassium, and phosphorus levels had a C-statistic value of 0.852 (sensitivity and specificity, 76.6%). The main independent risk factors associated with 72-h mortality among patients with AST levels ≥ 3000 U/L included higher serum values of alkaline phosphatase, creatine kinase, serum sodium, potassium, and phosphorus.

scholarly journals Perspectives of Healthcare Professionals Regarding Factors Associated with Antimicrobial Resistance (AMR) and Their Consequences: A Cross Sectional Study in Eastern Province of Saudi Arabia

Antibiotics ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 878
Author(s):  
Mohamed A. Baraka ◽  
Amany Alboghdadly ◽  
Samar Alshawwa ◽  
Asim Ahmed Elnour ◽  
Hassan Alsultan ◽  
...  
Keyword(s):  
Antimicrobial Resistance ◽  
Inappropriate Prescribing ◽  
Healthcare Providers ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Key Factors ◽  
Eastern Province ◽  
Cross Sectional ◽  
Factors Associated ◽  
Factors Influencing

Factors reported in the literature associated with inappropriate prescribing of antimicrobials include physicians with less experience, uncertain diagnosis, and patient caregiver influences on physicians’ decisions. Monitoring antimicrobial resistance is critical for identifying emerging resistance patterns, developing, and assessing the effectiveness of mitigation strategies. Improvement in prescribing antimicrobials would minimize the risk of resistance and, consequently, improve patients’ clinical and health outcomes. The purpose of the study is to delineate factors associated with antimicrobial resistance, describe the factors influencing prescriber’s choice during prescribing of antimicrobial, and examine factors related to consequences of inappropriate prescribing of antimicrobial. A cross-sectional study was conducted among healthcare providers (190) in six tertiary hospitals in the Eastern province of Saudi Arabia. The research panel has developed, validated, and piloted survey specific with closed-ended questions. A value of p < 0.05 was considered to be statistically significant. All data analysis was performed using the Statistical Package for Social Sciences (IBM SPSS version 23.0). 72.7% of the respondents have agreed that poor skills and knowledge are key factors that contribute to the inappropriate prescribing of antimicrobials. All of the respondents acknowledged effectiveness, previous experience with the antimicrobial, and reading scientific materials (such as books, articles, and the internet) as being key factors influencing physicians’ choice during antimicrobial prescribing. The current study has identified comprehensive education and training needs for healthcare providers about antimicrobial resistance. Using antimicrobials unnecessarily, insufficient duration of antimicrobial use, and using broad spectrum antimicrobials were reported to be common practices. Furthermore, poor skills and knowledge were a key factor that contributed to the inappropriate use and overuse of antimicrobials, and the use of antimicrobials without a physician’s prescription (i.e., self-medication) represent key factors which contribute to AMR from participants’ perspectives. Furthermore, internal policy and guidelines are needed to ensure that the antimicrobials are prescribed in accordance with standard protocols and clinical guidelines.

scholarly journals Dietary Factors of blaNDM Carriage in Health Community Population: A Cross-Sectional Study

2021 ◽  
Vol 18 (11) ◽  
pp. 5959
Author(s):  
Shuangfang Hu ◽  
Ziquan Lv ◽  
Qiumei Xiang ◽  
Yang Wang ◽  
Jianzhong Shen ◽  
...  
Keyword(s):  
Risk Factors ◽  
Antimicrobial Resistance ◽  
Cross Sectional Study ◽  
Dietary Factors ◽  
Coarse Grain ◽  
Sectional Study ◽  
Cross Sectional ◽  
Health Community ◽  
Health Communities ◽  
Tuber Crops

Aim: There is an ongoing debate as to what extent antimicrobial resistance (AMR) can be transmitted from dietary to humans via the consumption of food products. We investigated this association between dietary and global spreading carbapenem-resistant gene blaNDM Methods: We did a cross-sectional study to assess the risk factors for carrier of blaNDM in health community. Healthy adults were recruited from the residents attending Community Healthcare Service in Shenzhen City (Guangdong Province, China), through 1February 2018 to 31December 2019, and 718 pre-participants were included in this study. Questionnaire were obtained and the qualitative food frequency questionnaire (Q-FFQ) were used to assess dietary intake. qPCR was applied to confirm the carrier of blaNDM in participants’fecal samples. Multivariable logistic regression was used to estimate the odds ratio (OR) and 95% confidence interval (95% CI) of each outcome according to each dietary factor before and after prosperity score matching (PSM). Results: we showed that a high intake of coarse grain (OR 1.003; 95% CI 1.001–1.005, p < 0.01) and root and tuber crops (OR 1.003; 95% CI 1.001–1.004, p < 0.05) were independent risk factor for blaNDM carrier in health communities, suggesting a possible transfer of AMRbetweendietary andhumans. Surprisingly, we also showed an association between a higher intake of poultry as a protective, which may be explained by the beneficial effects on the gut microbiota. Conclusion: Dietary factors such as intake of coarse grain, root and tuber crops and poultry were associated with blaNDM carrier in health communities. The influence of dietary factorson blaNDM carrier in the present study provides insights for the tangible dietary advice with guidelines to the routine of people with the risk of blaNDM carrier. This demonstrates the role of dietary intake in the prevention of blaNDM carrier, since prevention is the best way to control modifiable risk factors. A lower carrier rate of blaNDM is helpful to reduce the possibility of transmission and pathogenicity. Further studies on food, microbiota and antimicrobial resistance are necessary to confirm this possible association and unravel underlying mechanisms.

scholarly journals Factors Associated with Poor Glycemic and Lipid Levels in Ambulatory Diabetes Mellitus Type 2 Patients in Asmara, Eritrea: A Cross-Sectional Study

2020 ◽  
Vol 2020 ◽  
pp. 1-12 ◽  
Author(s):  
Oliver Okoth Achila ◽  
Millen Ghebretinsae ◽  
Abraham Kidane ◽  
Michael Simon ◽  
Shewit Makonen ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Waist Circumference ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Factors Associated ◽  
Specific Lipid

Objective. There is a dearth of relevant research on the rapidly evolving epidemic of diabetes mellitus (particularly Type 2 diabetes mellitus) in sub-Saharan Africa. To address some of these issues in the Eritrean context, we conducted a cross-sectional study on glycemic and lipid profiles and associated risk factors. Methods. A total of 309 patients with diabetes mellitus on regular follow-up at the Diabetic and Hypertensive Department at Halibet Regional Referral Hospital, Asmara, were enrolled for the study. Data on specific clinical chemistry and anthropomorphic parameters was collected. Chi-squared (χ2) test or Fischer’s exact test was used to evaluate the relationship between specific variables. Multivariate logistic regression (backward: conditional) was undertaken to identify the factors associated with increased odds of suboptimal values in glucose and specific lipid panel subfractions. Results. High proportions of patients (76.7%) had suboptimal levels of HbA1c with a mean±SD of 8.6%±1.36, respectively. In multivariate regression analysis, the likelihood of HbA1c≥7% was higher in patients with abnormal WHR (AOR=3.01, 95% CI, 3.01 (1.15–7.92=0.024)) and in patients without hypertension (AOR=1.97, 95% CI (1.06–3.56), p=0.021). A unit reduction in eGFR was also associated with HbA1c≥7% (AOR=0.99, 95% CI (0.98–1=0.031)). In a separate analysis, the data shows that 80.9% of the patients had dyslipidemia. In particular, 62.1% of the patients had TC≥200 mg/dL (risk factors: sex, hypertension, and HbA1c concentration), 81.6% had LDL‐C≥100 mg/dL (risk factors: sex and hypertension), 56.3% had TG≥150 (risk factors: sex, HbA1c, and waist circumference), 62.8% had abnormal HDL-C (risk factors: waist circumference), 78.3% had non‐HDL<130 mg/dL (risk factors: duration of disease, reduced estimated glomerular filtration rate, and HbA1c), and 45.3% had abnormal TG/HDL (risk factors: sex, age of patient, FPG, and waist circumference). Conclusions. The quality of care, as measured by glycemic and specific lipid targets, in this setting is suboptimal. Therefore, there is an urgent need for simultaneous improvements in both indicators. This will require evidence-based optimization of pharmacological and lifestyle interventions. Therefore, additional studies, preferably longitudinal studies with long follow-up, are required on multiple aspects of DM.

A cross-sectional study to collect risk factors associated with stillbirths in pig herds

2010 ◽  
Vol 118 (1) ◽  
pp. 62-68 ◽  
Author(s):  
C. Vanderhaeghe ◽  
J. Dewulf ◽  
S. Ribbens ◽  
A. de Kruif ◽  
D. Maes
Keyword(s):  
Risk Factors ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Factors Associated

scholarly journals A Cross-Sectional Study on Novel-Risk Factors Associated with Supraspinatus Tendon Tear

2020 ◽  
Author(s):  
Sameer Haveri ◽  
Kiran S. Patil ◽  
Rajendra B. Uppin ◽  
Santosh Patil ◽  
B. B. Putti
Keyword(s):  
Risk Factors ◽  
Supraspinatus Tendon ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Tendon Tear ◽  
Cross Sectional ◽  
Factors Associated ◽  
Novel Risk Factors

scholarly journals Prevalence and factors associated with neonatal hypoglycemia in Northern Uganda: a community-based cross-sectional study

2020 ◽  
Vol 48 (1) ◽  
Author(s):  
David Mukunya ◽  
Beatrice Odongkara ◽  
Thereza Piloya ◽  
Victoria Nankabirwa ◽  
Vincentina Achora ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Glucose ◽  
Cross Sectional Study ◽  
Northern Uganda ◽  
Sectional Study ◽  
Neonatal Hypoglycemia ◽  
Community Based ◽  
Cross Sectional ◽  
Factors Associated ◽  
Child Age

Abstract Background Neonatal hypoglycemia is the most common endocrine abnormality in children, which is associated with increased morbidity and mortality. The burden and risk factors of neonatal hypoglycemia in rural communities in sub-Saharan Africa are unknown. Objective To determine the prevalence and risk factors for neonatal hypoglycemia in Lira District, Northern Uganda. Methods This was a community-based cross-sectional study, nested in a cluster randomized controlled trial designed to promote health facility births and newborn care practices in Lira District, Northern Uganda. This study recruited neonates born to mothers in the parent study. Random blood glucose was measured using an On Call® Plus glucometer (ACON Laboratories, Inc., 10125 Mesa Road, San Diego, CA, USA). We defined hypoglycemia as a blood glucose of < 47 mg/dl. To determine the factors associated with neonatal hypoglycemia, a multivariable linear regression mixed-effects model was used. Results We examined 1416 participants of mean age 3.1 days (standard deviation (SD) 2.1) and mean weight of 3.2 kg (SD 0.5). The mean neonatal blood glucose level was 81.6 mg/dl (SD 16.8). The prevalence of a blood glucose concentration of < 47 mg/dl was 2.2% (31/1416): 95% CI 1.2%, 3.9%. The risk factors for neonatal hypoglycemia were delayed breastfeeding initiation [adjusted mean difference, − 2.6; 95% CI, − 4.4, − 0.79] and child age of 3 days or less [adjusted mean, − 12.2; 95% CI, − 14.0, − 10.4]. Conclusion The incidence of neonatal hypoglycemia was low in this community and was predicted by delay in initiating breastfeeding and a child age of 3 days or less. We therefore suggest targeted screening and management of neonatal hypoglycemia among neonates before 3 days of age and those who are delayed in the onset of breastfeeding.

scholarly journals Individual- and Household-Level Risk Factors Associated with Malaria in Mutasa District, Zimbabwe: A Serial Cross-Sectional Study

2016 ◽  
Vol 95 (1) ◽  
pp. 133-140 ◽  
Author(s):  
Mufaro Kanyangarara ◽  
Sungano Mharakurwa ◽  
Tamaki Kobayashi ◽  
Frank C. Curriero ◽  
Timothy Shields ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Household Level ◽  
Factors Associated
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