Conectar
by Kindu Alem, Mucheye Gizachew, Mulat Dagnew, Worku Ferede, Solomon Belay, Baye Gelaw, Feleke Moges
BackgroundKlebsiella pneumoniae, Acinetobacter species, and Pseudomonas aeruginosa are priority pathogens identified by the World Health Organization that have emerged as major causes of healthcare-associated infections. Their increasing resistance to multiple antimicrobial agents poses significant challenges to clinical management and infection control efforts.
ObjectiveThis study aimed to determine the prevalence, associated risk factors, antimicrobial resistance patterns, and carbapenemase production of K. pneumoniae, Acinetobacter spp., and P. aeruginosa among hospitalized patients with suspected bloodstream, urinary tract, and surgical site healthcare-associated infections at the University of Gondar Comprehensive Specialized Hospital, Northwest Ethiopia.
MethodsA hospital-based cross-sectional study was conducted from August 2024 to June 2025 among 477 patients suspected of bloodstream, urinary tract, or surgical site healthcare-associated infections. Socio-demographic and clinical data were collected using a semi-structured questionnaire. Blood, urine, and wound/pus specimens were aseptically collected and inoculated on MacConkey, blood, and cysteine lactose electrolyte-deficient agar following standard microbiological techniques. Antimicrobial susceptibility testing was performed using the Kirby-Bauer disc diffusion method on Mueller-Hinton agar according to Clinical and Laboratory Standards Institute guidelines. Data were analyzed using SPSS version 27. Bivariate and multivariate logistic regression analyzes were used to identify factors associated with healthcare-associated infections. P value Results
Among the 477 patients, 118 (24.7%) developed healthcare-associated infections caused by K. pneumoniae, Acinetobacter spp., and P. aeruginosa, with culture positivity rates of 14.9%, 4.8%, and 5%, respectively. Significant associated factors included age under five (AOR = 13.260, p K. pneumoniae, 69.6% of Acinetobacter spp., and 58.3% of P. aeruginosa isolates. Carbapenemase production occurred in 92%, 77.8%, and 57.1% of these carbapenem-resistant isolates, respectively. Amikacin, meropenem, and ciprofloxacin were the most effective antimicrobials, whereas chloramphenicol was effective only against K. pneumoniae.
ConclusionThis study showed high prevalence of multidrug resistance and carbapenemase production among K. pneumoniae, Acinetobacter spp., and P. aeruginosa in the study area, highlighting the urgent need to strengthen infection prevention and control measures and to promote antimicrobial stewardship programs.
by Birtukan Gizachew Ayal, Abebe Kassa Geto, Sefineh Fenta Feleke, Ali Yimer, Atitegeb Abera Kidie, Natnael Amare Tesfa, Esuyawkal Mislu, Molla Hailu, Hassen Ahmed Yesuf
BackgroundSugar-sweetened beverages or snacks are limited in nutritional value. Excess consumption of sugar-sweetened beverages or snacks in early childhood is associated with inadequate micronutrient intake, being overweight or obese, and developing chronic diseases later in life. There is scarcity of information specific to sugar-sweetened beverages or snacks consumption prevalence and its determinants in Sub-Saharan Africa Countries. This study aimed to determine the pooled prevalence of sugar-sweetened beverage or snack consumption and its determinants among infants and young children aged 6–23 months.
MethodsA cross-sectional study design was conducted using demographic and health survey data conducted from 2019 to 2023 from twelve Sub-Saharan African countries. A weighted sample of 23,145 children aged 6–23 months was included in the study. Multilevel mixed-effects logistic regression analysis was used to determine the factors associated with the dependent variable. The level of statistical significance was declared with a p-value Results
The pooled prevalence of Sugar-sweetened beverage or snack consumption was 25.40% (95% CI: 24.84% − 25.96%). In multilevel multivariable logistic regression analysis, children aged between 9−11(AOR = 1.95 95% CI: 1.62, 2.35), 12–17(AOR = 2.83; 95% CI: 2.26, 3.54), and 18−23 months (AOR = 3.77;95% CI: 3.07, 4.63), media exposure (AOR = 1.59; 95% CI:1.28, 1.98), children from households with middle (AOR = 1.39; 95% CI: 1.11, 1.73) and rich (AOR = 2.31; 95% CI: 1.87, 2.85) wealth status, post natal checkup (AOR = 1.18; 95%CI:1.05,1.33), maternal ANC visit (AOR = 1.60; 95% CI: 1.15, 2.22), and high community media exposure ((AOR = 2.22;95%CI:1.65,5.81) were positively associated significant factors whereas currently breast feeding children (AOR = 0.70; 95% CI: 0.59,0.82), older age at first birth (AOR = 0.88,95% CI: 0.81, 0.96), presences of more than one under-5 children in the household (AOR = 0.89, 95% CI: 0.80, 0.99), mothers don’t perceive distance to health facility as big problem (AOR = 0.86; 95% CI:0.76, 0.98), and children reside in rural (AOR = 0.83;95%CI:0.68,0.95) were negatively associated with sugar sweetened beverage or snack consumption.
ConclusionIn this study, one out of four children consumed sugar-sweetened beverages or snacks. Current age of child, current breastfeeding status of child, media exposure, wealth index, maternal age at first birth, post natal checkup, maternal ANC visit, number of under-five children in the household, distance to health facility, place of residence, and community level media exposure were significant factors with sugar-sweetened beverage or snack consumption. Therefore, it is recommended to raise awareness about the health risks of sugar-sweetened beverage and snack consumption, enforce restrictions on their advertisement, strengthen nutrition-focused counseling within maternal and child health services with special attention for older age children, promote breastfeeding, and give special attention to challenges related to health facility accessibility, and support for young mothers.
This study employs structural equation modelling to explore the inter-relationships among optimal antenatal care (ANC), health facility delivery and early postnatal care (EPNC) in Ethiopia. By identifying both direct and indirect influencing factors, the study offers valuable insights to support integrated maternal health strategies and guide informed decision-making by policymakers and women alike.
The secondary analysis of the Ethiopian Demographic and Health Survey 2016 was performed to investigate inter-relationships between optimal ANC, health facility delivery and postnatal care (PNC) among women in Ethiopia. Data were analysed with R software V.4.3.2. The study used binary logistic regression to examine differences in optimal ANC, health facility delivery and EPNC, focusing on variables with a p value of 0.1 or less. Selected variables were incorporated into a generalised structural equation model (GSEM) using the LAVAAN package to explore both direct and indirect effects. The GSEM method assessed the impact of exogenous variables on endogenous variables, all binary, using a logistic link and binomial family. Missing data were handled with the multiple imputation by chained equations package, and sampling weights were applied to ensure national and regional representativeness.
The source population comprised all women of reproductive age (15–49 years) who gave birth in the 5 years preceding the survey. From 16 650 interviewed households (98% response rate), we identified 7590 eligible women with recent births. Finally, we included 2415 women who had attended four or more ANC visits.
Media exposure significantly boosts the likelihood of using ANC (OR=1.8, 95% CI (1.04 to 3.23), p=0.04), health facility delivery (OR=1.7, 95% CI (1.23 to 2.45), p=0.05) and PNC (OR=2.0, 95% CI (1.6 to 4.01), p=0.01). Urban residence and secondary education also enhance ANC (OR=1.2, 95% CI (1.01 to 2.88), p=0.022; OR=1.3, 95% CI (1.20 to 3.01), p=0.018), health facility delivery (OR=1.1, 95% CI (1.01 to 3.24), p=0.035; OR=1.5, 95% CI (1.22 to 3.45), p=0.03) and PNC (OR=1.6, 95% CI (1.01 to 4.32), p=0.03). ANC directly affects health facility delivery (OR=1.4, 95% CI (1.28 to 3.09), p=0.01) and PNC (OR=1.6, 95% CI (1.01 to 3.80), p=0.03). Additionally, women aged 20–34 years and those from male-headed households positively impact health facility delivery (OR=1.5, 95% CI (1.20 to 4.80), p=0.01; OR=1.3, 95% CI (1.07 to 3.45), p=0.014) and PNC (OR=1.4, 95% CI (1.10 to 2.90), p=0.01; OR=1.2, 95% CI (1.07 to 3.08), p=0.025).
Optimal ANC is vital for encouraging health facility delivery and EPNC. To enhance maternal and neonatal health, policies should integrate these services. Key predictors include being aged 20–34, having secondary and higher education, media exposure, male-headed households and living in urban areas. Improving education and media exposure can boost maternal healthcare service use.
To assess the incidence, progression and predictors of chronic kidney disease among adult patients living with HIV/AIDS who are receiving antiretroviral therapy.
An institution-based, multicentre retrospective follow-up study was conducted among a randomly selected sample of 535 adult patients. Data were entered into Epi Data version 4.6.0 and analysed using STATA version 14.0. A Cox proportional hazards regression model was fitted to identify independent predictors of chronic kidney disease incidence. Variables with p
The study was conducted at comprehensive specialised hospitals in the Amhara Region of Ethiopia. Adult patients with HIV/AIDS receiving follow-up antiretroviral therapy between 1 April 2012 and 31 September 2022 were the cohort participants.
Of the 528 adult patients included in the final analysis, 15 (2.84%) developed chronic kidney disease during the follow-up period, resulting in an overall incidence rate of 4.1 per 1000 person-years of observation. Significant predictors of chronic kidney disease included baseline age (adjusted HR (AHR)=1.053; 95% CI, 1.001 to 1.108), serum creatinine (AHR=1.698; 95% CI, 1.302 to 2.215), blood urea nitrogen (AHR=1.031; 95% CI, 1.001 to 1.061) and baseline viral load ≥1000 copies/mL (AHR=3.464; 95% CI, 1.104 to 10.871).
The incidence of chronic kidney disease among adult patients with HIV was clinically significant. Older age, baseline viral load ≥1000 and high blood urea nitrogen and creatinine levels were significant predictors of higher risk. Proactive measures, such as closer kidney monitoring, targeted care for older patients and ensuring optimal viral suppression with effective antiretroviral therapy, can delay or prevent the development of chronic kidney disease.
FreshRSS 