Publications by authors named "Muktar Ahmed"

There were no pediatric oncology centers in southwest Ethiopia prior to 2016. This study aims to describe presenting diagnoses and initial outcomes at Jimma University Medical Center (JUMC), the first pediatric oncology unit (POU) in southwest Ethiopia, provide initial insights into regional pediatric cancer epidemiology, illustrate the rapid growth of pediatric cancer services, and highlight ongoing challenges. We used a retrospective descriptive approach to assess the epidemiologic pattern and initial treatment outcomes of pediatric cancer at JUMC POU from August 2016 through December 2022.

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Background: Predictive modelling using pre-epidemic data have long been used to guide public health responses to communicable disease outbreaks and other health disruptions. In this study, cancer registry and related health data available 2-3 months from diagnosis were used to predict changes in cancer detection that otherwise would not have been identified until full registry processing was completed about 18-24 months later. A key question was whether these earlier data could be used to predict cancer incidence ahead of full processing by the cancer registry as a guide to more timely health responses.

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Background: Cohort studies linking greenspace exposure to a lower risk of obesity-related cancer (ORC) are scarce. Existing evidence on site-specific cancers has predominantly relied on non-specific greenspace measures, including vegetation indices. We examined the associations of total greenspace, private residential gardens, and other greenspace types with the risk of being diagnosed with overall and site-specific ORC.

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Background: In 2015, the World Health Organization introduced the concept of intrinsic capacity (IC) to define the individual-level characteristics that enable an older person to be and do the things they value. This study developed an intrinsic capacity score for UK Biobank study participants and validated its use as a tool for health outcome prediction, understanding healthy aging trajectories, and genetic research.

Methods: Our analysis included data from 45,208 UK biobank participants who had a complete record of the ten variables included in the analysis.

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The evolution of microbes in response to conventional antimicrobials leads to antimicrobial resistance (AMR) and multidrug resistance (MDR), and it is a global threat to public health. Natural products are possible solutions to this massive challenge. In this study, the potential of extracts was investigated for phytochemical composition and biological properties as antimicrobials.

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Triboelectric nanogenerators (TENGs) have emerged as a promising alternative for powering small-scale electronics without relying on traditional power sources, and play an important role in the development of the internet of things (IoTs). Herein, a low-cost, flexible polyvinyl alcohol (PVA)-based TENG (PVA-TENG) is reported to harvest low-frequency mechanical vibrations and convert them into electricity. PVA thin film is prepared by a simple solution casting technique and utilized to serve as the tribopositive material, polypropylene film as tribonegative, and aluminum foil as electrodes of the device.

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Lithium is regarded as the first-line treatment for bipolar disorder (BD), a severe and disabling mental health disorder that affects about 1% of the population worldwide. Nevertheless, lithium is not consistently effective, with only 30% of patients showing a favorable response to treatment. To provide personalized treatment options for bipolar patients, it is essential to identify prediction biomarkers such as polygenic scores.

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There is a paucity of predictive models for uncontrolled diabetes mellitus. The present study applied different machine learning algorithms on multiple patient characteristics to predict uncontrolled diabetes. Patients with diabetes above the age of 18 from the All of Us Research Program were included.

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Lithium is regarded as the first-line treatment for bipolar disorder (BD), a severe and disabling mental disorder that affects about 1% of the population worldwide. Nevertheless, lithium is not consistently effective, with only 30% of patients showing a favorable response to treatment. To provide personalized treatment options for bipolar patients, it is essential to identify prediction biomarkers such as polygenic scores.

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Introduction: The UK Biobank cognitive assessment data has been a significant resource for researchers looking to investigate predictors and modifiers of cognitive abilities and associated health outcomes in the general population. Given the diverse nature of this data, researchers use different approaches - from the use of a single test to composing the general intelligence score, , across the tests. We argue that both approaches are suboptimal - one being too specific and the other one too general - and suggest a novel multifactorial solution to represent cognitive abilities.

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Background: Genetic and lifestyle factors are associated with cancer risk. We investigated the benefits of adhering to lifestyle advice by the World Cancer Research Fund (WCRF) with the risk of 13 types of cancer and whether these associations differ according to genetic risk using data from the UK Biobank.

Methods: In 2006-2010, participants aged 37-73 years had their lifestyle assessed and were followed up for incident cancers until 2015-2019.

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Article Synopsis
  • HIV/AIDS remains a significant public health issue in sub-Saharan Africa, with current efforts falling short of global targets for eradication set by UNAIDS and the SDGs.
  • The study utilized extensive data from various HIV prevalence surveys to estimate localized HIV infection rates across 43 African countries, focusing on specific age and sex groups from 2000 to 2018.
  • Findings revealed wide disparities in HIV prevalence within countries and districts, indicating that age and sex stratification provides more nuanced insights into the epidemic, which can help tailor prevention and treatment efforts more effectively.
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Background And Aims: Analyses to predict the risk of cancer typically focus on single biomarkers, which do not capture their complex interrelations. We hypothesized that the use of metabolic profiles may provide new insights into cancer prediction.

Methods: We used information from 290,888 UK Biobank participants aged 37 to 73 years at baseline.

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Hormone-related cancers, including cancers of the breast, prostate, ovaries, uterine, and thyroid, globally contribute to the majority of cancer incidence. We hypothesize that hormone-sensitive cancers share common genetic risk factors that have rarely been investigated by previous genomic studies of site-specific cancers. Here, we show that considering hormone-sensitive cancers as a single disease in the UK Biobank reveals shared genetic aetiology.

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Background: Observational and Mendelian randomization (MR) studies link obesity and cancer, but it remains unclear whether these depend upon related metabolic abnormalities.

Methods: We used information from 321,472 participants in the UK biobank, including 30,561 cases of obesity-related cancer. We constructed three genetic instruments reflecting higher adiposity together with either "unfavourable" (82 SNPs), "favourable" (24 SNPs) or "neutral" metabolic profile (25 SNPs).

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Recent evidence suggests that, in some foci, elimination of onchocerciasis from Africa may be feasible with mass drug administration (MDA) of ivermectin. To achieve continental elimination of transmission, mapping surveys will need to be conducted across all implementation units (IUs) for which endemicity status is currently unknown. Using boosted regression tree models with optimised hyperparameter selection, we estimated environmental suitability for onchocerciasis at the 5 × 5-km resolution across Africa.

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Background: Unsuppressed viral load in patients on antiretroviral (ARV) therapy occurs when treatment fails to suppress a patient's viral load, and is associated with decreased survival and increased HIV transmission. Identifying the level of unsuppressed viral load with its associated factors has benefits in controlling transmission and reducing burden. Therefore, this study aimed to assess unsuppressed viral load (>1,000 copies/mL) and associated factors among HIV patients taking first-line antiretroviral treatment at public health facilities in Jimma, Ethiopia.

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Background: While there is a long history of measuring death and disability from injuries, modern research methods must account for the wide spectrum of disability that can occur in an injury, and must provide estimates with sufficient demographic, geographical and temporal detail to be useful for policy makers. The Global Burden of Disease (GBD) 2017 study used methods to provide highly detailed estimates of global injury burden that meet these criteria.

Methods: In this study, we report and discuss the methods used in GBD 2017 for injury morbidity and mortality burden estimation.

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Background: Sub-Saharan Africa shares a disproportionately large ratio of the global acute disease burden, however epidemiological data specific to the burden of emergency conditions are lacking. This study aimed to determine the morbidity burden of emergency conditions in Jimma city, Southwest Ethiopia.

Methods: A cross-sectional study was conducted using emergency case registries of three years from 2014 to 2017, at Jimma Medical Center and Shenen Gibe Hospital.

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Article Synopsis
  • Injuries significantly impact global health, with the number of injury deaths rising from approximately 4.26 million in 1990 to about 4.48 million in 2017, despite a decline in age-standardized mortality rates.
  • The Global Burden of Disease study measured both fatal and non-fatal injuries through years of life lost (YLLs) and years lived with disability (YLDs), which were combined into disability-adjusted life years (DALYs).
  • While overall injury incidence increased, age-standardized DALYs decreased, indicating a need for ongoing research focused on injury prevention, better data collection, and improving access to medical care in high-burden areas.
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Article Synopsis
  • - The study investigates how sociodemographic factors relate to injury-related health outcomes worldwide, specifically analyzing disability-adjusted life years (DALYs) from injuries across 195 countries from 1990 to 2017.
  • - Findings show that while most injury causes display a trend of decreasing DALY rates with higher Socio-demographic Index (SDI), certain injuries like road injuries, interpersonal violence, and self-harm deviate from this trend, indicating complex underlying factors.
  • - The research highlights the importance of understanding these injury patterns to improve health strategies and intervention efforts at both national and global levels, especially since not all injuries follow the same developmental trajectory.
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Article Synopsis
  • Past research highlights that fires and hot substances are significant global health risks, causing morbidity and mortality that necessitate better preventative strategies and healthcare access.
  • Using the Global Burden of Disease 2017 framework, the study calculated various health metrics related to fire-related injuries across 195 countries from 1990 to 2017.
  • Findings indicate that while global mortality rates from these injuries have declined, there is considerable regional variation, with middle and lower-income areas being more affected and requiring improved safety resources and healthcare infrastructure.*
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Article Synopsis
  • Cancer and other noncommunicable diseases (NCDs) pose a significant threat to global development, with slow progress in addressing these issues highlighted by the recent UN meeting; key barriers include a lack of situational analyses and prioritization for effective action against NCDs.* -
  • The study aims to provide comprehensive data on cancer burden across 29 cancer types in 195 countries from 1990 to 2017, utilizing the Global Burden of Disease (GBD) methods to analyze cancer incidence, mortality, and disability metrics.* -
  • In 2017, there were 24.5 million new cancer cases globally, with significant variations based on socio-demographic factors; the majority of cancer-related disabilities stemmed
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