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.
Chronic kidney disease (CKD) arises due to uncontrolled hypertension (HTN). HTN significantly increases the risk of complications in vital organs, mainly the kidneys. If hypertensive individuals receive early intervention, the majority of these complications and deaths from CKD can be avoided. Having a clinically applicable tool to predict the future risk of those complications can prevent early disability and premature mortality. However, to this day, there is a lack of a validated risk prediction model specifically designed for CKD of hypertensive patients in Ethiopia. We aimed to develop a risk prediction model for CKD among hypertensive patients at the University of Gondar Comprehensive Specialised Hospital (UoGCSH), Ethiopia.
A retrospective follow-up study was conducted from 1 January 2012 to 30 December 2021. The Least Absolute Shrinkage and Selection Operator regression methods were used to select predictors. The performance of the models was assessed using the Area Under the Curve and calibration plots. The internal validity of the model was evaluated using bootstrapping methods, and the model was presented as a nomogram. Decision curve analysis was conducted to assess the net benefit of the prediction model in clinical and public health contexts.
Data from patients’ medical records were collected via the Kobo Toolbox in the UoGCSH.
We followed a total of 1120 Patients diagnosed with HTN.
The incidence of CKD among adult hypertensive patients was 19.82% (95% CI 17.59% to 22.26%). In the multivariable logistic regression analysis, age, residency, baseline blood pressure status, type of HTN, family history of HTN, baseline serum creatinine levels, proteinuria at baseline and dyslipidaemia were identified as statistically significant predictors of CKD. The nomogram demonstrated a discriminatory power of 91.98% (95% CI 90.09% to 93.88%) and a calibration p value of 0.327. The sensitivity and specificity of the prediction model were 80.63% (95% CI 74.81% to 85.61%) and 87.97% (95% CI 85.66% to 90.03%), respectively. The developed nomogram has a greater net benefit than using the treat-all or treat-none strategies when the threshold probability of the patient is increased.
The nomogram demonstrated excellent discrimination and calibration in identifying hypertensive patients at high risk of CKD. This predictive model offers clinicians a valuable tool for early identification of high-risk individuals, enabling timely interventions, personalised counselling and optimised management through close monitoring to prevent disease progression.
by Werku Etafa, Wandimu Muche, Dereje Temesgen, Dawit Tesfaye
BackgroundChildren’s environmental health encompasses a wide range of factors that impact the well-being of children, including physical, chemical, biological, and social elements in their immediate environment. Safeguarding children from harmful substances is the crucial role of nursing students. Nursing students play a vital role as valuable resources for individuals, families, communities, and policymakers. This study aimed to assess the knowledge and skills of nursing students concerning children’s environmental health at academic institutions delivering nursing programs in Nekemte town, Ethiopia.
MethodsAn institutional-based cross-sectional study was conducted in Nekemte town from 1st to 30th August, 2023, among 634 randomly selected nursing students using standardized questionnaires: Children’s Environmental Health Knowledge and Skills Questionnaire (ChEHK-Q and ChEHS-Q). Data were entered into Epi Data 3.1 and analyzed in SPSS 25, with linear regression applied to identify predictors of knowledge and skills at 95%CI and p-value Results
Most nursing students had insufficient and poor knowledge (79%) of children’s environmental health, and over a third (34%) showed insufficient skills. The study also found a reciprocal relationship: students’ skills (β = 0.03, CI: 1.01–1.04, p = 0.01) and age (β = 0.06, CI: 1.02–1.10, p = 0.001) predicted their knowledge, while knowledge (β = 0.06, CI: 1.01–1.11, p = 0.01) and age (β = 0.05, CI: 1.02–1.09, p = 0.002) predicted their skills.
ConclusionsThe study concludes that nursing students possess limited knowledge and skills in children’s environmental health. It is suggested to integrate children’s environmental health into nursing curricula, strengthening pediatric and neonatal education, and conduct further research to address the gap.
To ascertain the clinical impact, prevalence and associated determinants of delayed treatment intensification, defined as delaying the escalation of treatment plans for individuals with type 2 diabetes mellitus who fail to attain ideal glycaemic control, at the University of Gondar Comprehensive Specialised Hospital in Northwest Ethiopia.
A mixed-methods study.
University of Gondar Comprehensive Specialised Hospital.
420 patients with type 2 diabetes mellitus with poor glycaemic control after the index date were included in this study. A simple random sampling technique was employed to select the required sample size. Data were collected retrospectively and entered into EpiData V.4.6 and exported to Stata V.14.2 for analysis.
Multivariable logistic regression was used to identify factors associated with delayed treatment intensification. A p value of 0.05 in the multivariable analysis was considered statistically significant. Qualitative data were collected through in-depth interviews with eight selected healthcare providers, and thematic analysis was undertaken to identify the underlying barriers to timely treatment intensification.
Delayed treatment intensification.
The prevalence of delayed treatment intensification was 51.4% (95% CI 46.6% to 56.2%), with a median delay of 14 months (IQR: 7.5–42 months) from the index date. Among those experiencing delayed treatment intensification, 43.1% developed new chronic diabetic complications, including retinopathy (18.1%), neuropathy (14.4%) and nephropathy (6.0%). Other complications (hypertension, stroke, heart failure and diabetic foot ulcer) accounted for 4.64% of the cases. Significant predictors of delayed treatment intensification included longer duration of diabetes (adjusted ORs (AOR) 1.68; 95% CI 1.13 to 2.5), presence of comorbidities (AOR 1.83; 95% CI 1.04 to 3.2) and use of cardioprotective medications (AOR 1.59; 95% CI: 1.04 to 2.43). The qualitative findings revealed additional barriers contributing to delayed treatment intensification, including financial limitations, insufficient patient awareness and non-adherence among patients. Additionally, healthcare provider-related factors, including professional fatigue and knowledge gaps, as well as health institution-related factors such as inadequate healthcare infrastructure.
This study found a high prevalence of delayed treatment intensification (51.4%), associated with comorbidities, longer disease duration, low patient awareness, cardioprotective drug use and barriers related to the system and providers. To address these gaps, priorities should include strengthening patient education, scheduling regular reviews for high-risk patients and improving clinical decision support tools for timely treatment intensification. Enhancing healthcare infrastructure, such as medication supply and diagnostic services, and offering refresher training to reduce provider fatigue, are also crucial for improving the delivery of diabetes care.
FreshRSS 