127 research outputs found

    Association of human papilloma Virus infection other than cervical cancer: Systematic Review and Meta Analysis

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    Human Papilloma Virus (hpv) infection causes different cancer diseases. Cervical cancer is the most common hpv related disease. hpv infection also causes cancer of anus, vulva, vagina, penis, skin, bladder, prostate, breast, oral and others because the hpv virus is epithelium-tropic. But the association of hpv infection other than cervical cancer, for example breast cancer, bladder cancer, prostate cancer etc is still inconclusive. Thus, the objective of this review was to collect published information on hpv infection other than cervix to explore the pooled prevalence of hpv infection as well as related types of cancers.  Publish research articles of hpv infection and cancer risks other than cervical cancer were systematically searched through Internet. The preferred reporting items for systematic review and meta-analysis guidelines were followed. Joanna Brigg’s Institute Meta-Analysis of Statistics Assessment and Review Instrument (jbi-mastari) adapted for cross sectional/case control study design was used for quality assessment of each individual study. A total of 22 studies were extracted and analyzed using stata 14. The random effect model was used to estimate the pooled prevalence; whereas subgroup analysis and meta-regression was performed to identify the probable source of heterogeneity. Both Egger’s and Begg’s tests were used to check publication bias.  The totals of 486 studies were retrieved and 22 studies were included in this meta- analysis. The meta-analysis result showed that the pooled prevalence of hpv infection other than cervix was 34.36% (95% CI: 23.75, 44.97) with severe heterogeneity (I2 = 99.5%; p<0.001) with no publication bias. The highest pooled prevalence of hpv infection other than cervix was related to genital cancer which is 58.63% (95% CI: 51.86, 65.39), followed by oral cancer (47.15% with 95% CI: 19.67, 74.63). Although cervical cancer is primarily hpv induced cancer which well articulated with so many researches, other cancer types (based on the location of the hpv infection) are also increasing across the world based on this systematic and meta-analysis study. hpv infection increases the risk of developing cancers other than cervical cancer

    Knowledge and Practice about Glasgow Coma Scale Assessment among Nurses Working in Adult Intensive Care Units of Federal Public Hospitals in Addis Ababa, Ethiopia: A Cross-Sectional Study

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    Background: The Glasgow Coma Scale is a dependable and objective neurological assessment instrument used for determining and recording a  patient's level of consciousness. Therefore, the knowledge, practice, and factors affecting Glasgow coma scale evaluation among nurses working in  adult intensive care units of federally administered hospitals in Addis Ababa, Ethiopia, were investigated. Methods:From April 4 to 24, 2020, 121 Adult Intensive Care Unit nurses at Ethiopian federal hospitals participated in an institutional-based cross-  sectional survey with a standardized selfadministered questionnaire. The information was entered into Epidata version 3.1 and then exported to  SPSS version 25.0 for analysis. Bivariable and multivariable logistic regressions were used to examine the relationships between independent and dependent variables. Result: According to this study, nurses working in the Adult Intensive Care Unit of federal hospitals in Addis Ababa, Ethiopia, had poor knowledge  (51.2%) and poor practice (62%) of the Glasgow Coma Scale's basic theoretical notions and competencies. Furthermore, the education and gender of  nurses were linked to their level of knowledge and clinical practice. Being a male and having a master's degree were both significantly linked  with knowledge(AOR = 4.13, 95% CI: (1.87–9.1)), (AOR=7.4, 95% CI: (1.4-38)) and practice (AOR = 2.7, 95% CI: (1.2–6)), (AOR = 10.4, 95% CI: (2.0–53))  respectively. Conclusion: The findings from this study showed that nurses had poor knowledge and application of practice-related clinical scenarios on the  Glasgow Coma Scale

    A mixed-methods study exploring adherence to the referral of severely sick children in primary health care in Southern Ethiopia.

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    BACKGROUND: We have shown that Ethiopian primary healthcare providers refer only half of the severely sick children who, according to guidelines, should get an urgent referral. Frequently parents of referred ill children don't bring their children to the next level. We aimed to describe the referral of severely ill Ethiopian children based on primary healthcare register reviews and explore health care providers' and parents' perceptions regarding factors that hinder or enhance referral. METHODS: A mixed-methods study was conducted in 11 districts and a town administration of the Hadiya zone in Ethiopia's Southern region from May to June 2019. Data collection included interviews and focus group discussions with healthcare providers, key informant interviews with parents of sick children who had been referred, and reviewing registers of sick children treated during the last 12 months at health posts and health centres. We analysed the association between healthcare providers' and sick children's characteristics and providers' compliance with referral guidelines for sick children 0-59 months old. Content analysis was undertaken to explore the perceived factors that influenced referral and adherence to referral from providers' and parents' perspectives. RESULTS: Healthcare providers did not refer nearly half of the severely ill children that should have been referred, according to guidelines. Providers who had received in-service training on child healthcare were more likely to adhere to referral guidelines. The severity of the child's illness and mobile phone communication and transport availability were perceived to be positively associated with adherence to referral guidelines. Lack of knowledge of treatment guidelines and skills, and high health worker workload, were among the factors perceived to be linked to lower adherence to guidelines. The healthcare providers considered parents of referred sick children as having low compliance with the referral advice. In contrast, parents had the opinion that compliance with a referral for sick children was high. Perceived awareness of severity of the child's illness, ability to afford referral costs, and availability of transport or ambulance services were perceived to motivate parents to take their children to the referral facility. Traditional illness perceptions, lack of confidence in the referral site's medical care, and a long distance were perceived to hurdle caregivers' referral compliance. CONCLUSIONS: We found that the healthcare providers' adherence to referral guidelines was not optimal. Care providers and parents had divergent opinions on parents' compliance with referral advice. Factors related to the health system, family economy, and available ambulance services influence whether care providers and parents pursued severely ill children's referral. Adequate referral of sick children is an aspect of primary healthcare quality that is essential to avoid unnecessary under-five deaths

    The effects of improved sanitation on diarrheal prevalence, incidence, and duration in children under five in the SNNPR State, Ethiopia: study protocol for a randomized controlled trial.

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    BACKGROUND: Diarrhea is one of the leading causes of death, killing 1.3 million in 2013 across the globe, of whom, 0.59 million were children under 5 years of age. Globally, about 1 billion people practice open defecation, and an estimated 2.4 billion people were living without improved sanitation facilities in 2015. Much of the previous research investigating the effect of improved sanitation has been based on observational studies. Recent studies have executed a cluster-randomized controlled trial to investigate the effect of improved sanitation. However, none of these recent studies achieved a sufficient level of latrine coverage. Without universal or at least a sufficient level of latrine coverage, a determination of the effect of improved latrines on the prevention of diarrheal disease is difficult. This cluster-randomized trial aims to explore the net effect of improved latrines on diarrheal prevalence and incidence in children under five and to investigate the effect on the diarrheal duration. METHOD/DESIGN: A phase-in and factorial design will be used for the study. The intervention for improving latrines will be implemented in an intervention arm during the first phase, and the comparable intervention will be performed in the control arm during the second phase. During the second phase, a water pipe will be connected to the gotts (villages) in the intervention arm. After the second phase is completed, the control group will undergo the intervention of receiving a water pipe connection. For diarrheal prevalence, five rounds of surveying will be conducted at the household level. The first four rounds will be carried out in the first phase to explore the effect of improved latrines, and the last one, in the second phase to examine the combined effects of improved water and sanitation. For documentation of diarrheal incidence and duration, the mother or caregiver will record the diarrheal episodes of her youngest child on the "Sanitation Calendar" every day. Of 212 gotts in the project area, 48 gotts were selected for the trial, and 1200 households with a child under 5 will be registered for the intervention or control arm. Informed consent from 1200 households will be obtained from the mother or caregiver in written form. DISCUSSION: To our knowledge, this is the second study to assess the effects of improved latrines on child diarrheal reduction through the application of Community-Led Total Sanitation. TRIAL REGISTRATION: Current Controlled Trials, ISRCTN82492848

    Imputation of plasma lipid species to facilitate integration of lipidomic datasets

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    Recent advancements in plasma lipidomic profiling methodology have significantly increased specificity and accuracy of lipid measurements. This evolution, driven by improved chromatographic and mass spectrometric resolution of newer platforms, has made it challenging to align datasets created at different times, or on different platforms. Here we present a framework for harmonising such plasma lipidomic datasets with different levels of granularity in their lipid measurements. Our method utilises elastic-net prediction models, constructed from high-resolution lipidomics reference datasets, to predict unmeasured lipid species in lower-resolution studies. The approach involves (1) constructing composite lipid measures in the reference dataset that map to less resolved lipids in the target dataset, (2) addressing discrepancies between aligned lipid species, (3) generating prediction models, (4) assessing their transferability into the targe dataset, and (5) evaluating their prediction accuracy. To demonstrate our approach, we used the AusDiab population-based cohort (747 lipid species) as the reference to impute unmeasured lipid species into the LIPID study (342 lipid species). Furthermore, we compared measured and imputed lipids in terms of parameter estimation and predictive performance, and validated imputations in an independent study. Our method for harmonising plasma lipidomic datasets will facilitate model validation and data integration efforts

    Factors associated with the referral of children with severe illnesses at primary care level in Ethiopia: a cross-sectional study.

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    Context and objective Ethiopia's primary care has a weak referral system for sick children. We aimed to identify health post and child factors associated with referrals of sick children 0-59 months of age and evaluate the healthcare providers' adherence to referral guidelines. Design A cross-sectional facility-based survey. Setting This study included data from 165 health posts in 52 districts in four Ethiopian regions collected from December 2018 to February 2019. The data included interviews with health extension workers, assessment of health post preparedness, recording of global positioning system (GPS)-coordinates of the health post and the referral health centre, and reviewing registers of sick children treated during the last 3 months at the health posts. We analysed the association between the sick child's characteristics, health post preparedness and distance to the health centre with referral of sick children by multivariable logistic regressions. Outcome measure Referral to the nearest health centre of sick young infants aged 0-59 days and sick children 2-59 months.ResultsThe health extension workers referred 39/229 (17%) of the sick young infants and 78/1123 (7%) of the older children to the next level of care. Only 18 (37%) sick young infants and 22 (50%) 2-59 months children that deserved urgent referral according to guidelines were referred. The leading causes of referral were possible serious bacterial infection and pneumonia. Those being classified as a severe disease were referred more frequently. The availability of basic amenities (adjusted OR, AOR=0.38, 95% CI 0.15 to 0.96), amoxicillin (AOR=0.41, 95% CI 0.19 to 0.88) and rapid diagnostic test (AOR=0.18, 95% CI 0.07 to 0.46) were associated with less referral in the older age group. Conclusion Few children with severe illness were referred from health posts to health centres. Improving the health posts' medicine and diagnostic supplies may enhance adherence to referral guidelines and ultimately reduce child mortality

    A lipidomic based metabolic age score captures cardiometabolic risk independent of chronological age

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    Background Metabolic ageing biomarkers may capture the age-related shifts in metabolism, offering a precise representation of an individual’s overall metabolic health. Methods Utilising comprehensive lipidomic datasets from two large independent population cohorts in Australia (n = 14,833, including 6630 males, 8203 females), we employed different machine learning models, to predict age, and calculated metabolic age scores (mAge). Furthermore, we defined the difference between mAge and age, termed mAgeΔ, which allow us to identify individuals sharing similar age but differing in their metabolic health status. Findings Upon stratification of the population into quintiles by mAgeΔ, we observed that participants in the top quintile group (Q5) were more likely to have cardiovascular disease (OR = 2.13, 95% CI = 1.62–2.83), had a 2.01-fold increased risk of 12-year incident cardiovascular events (HR = 2.01, 95% CI = 1.45–2.57), and a 1.56-fold increased risk of 17-year all-cause mortality (HR = 1.56, 95% CI = 1.34–1.79), relative to the individuals in the bottom quintile group (Q1). Survival analysis further revealed that men in the Q5 group faced the challenge of reaching a median survival rate due to cardiovascular events more than six years earlier and reaching a median survival rate due to all-cause mortality more than four years earlier than men in the Q1 group. Interpretation Our findings demonstrate that the mAge score captures age-related metabolic changes, predicts health outcomes, and has the potential to identify individuals at increased risk of metabolic diseases

    Rotavirus-associated acute diarrhea outbreak in West Shewa Zone of Oromia Regional State, Ethiopia, 2017

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    Introduction: rotavirus causes severe-diarrheal diseases in infants. An estimation of 138 million rotavirus-associated diarrheal cases and 215,000 deaths occur every year globally. In December 2016, West-Shewa zone in Ethiopia reported unidentified gastrointestinal diarrhea outbreak. We investigated to identify the causative agent of the outbreak to support response operations. Methods: medical records were reviewed, and the daily line list was collected from health facilities. Descriptive data analysis was done by time, person and place. Stool specimens were first tested by antigen capture enzyme immunoassay (EIA) technique and further confirmed by reverse-transcription polymerase chain reaction (RT-PCR) as a gold standard. The product of RT-PCR was genotyped for each gene using G1-G4, G8-G9 and G12 primers for VP7 gene and P(4), P(6), P(8) and P(14) primers for VP4 gene. Results: a total of 1,987 diarrheal cases (5.7 per 1000) and five deaths (case-fatality rate 0.25%) were identified and epidemiologically-linked to confirmed rotavirus from December 2016 to February 2017. Among the cases, 1,946 (98%) were < 5 children. Fourteen (74%) of the 19 tested stool specimens were positive for rotavirus by EIA and RT-PCR. Majority of strains detected were G12P(6) (25%) and G-negative P(8) (25%) followed by G9P(8) (19%), G1P(8) (13%) and G3/G2 P(8), G12P(8), and G-negative P(6) (6% each). Conclusion: diarrheal outbreak which occurred in West-Shewa zone of Ethiopia was associated with rotavirus and relatively more affected districts with low vaccination coverage. Routine rotavirus vaccination quality and coverage should be evaluated and the surveillance system needs to be strengthened to detect, prevent and control a similar outbreak
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