Displaying publications 1 - 20 of 3374 in total

  1. Sanders P, Kamsani SH, Middeldorp ME
    JACC Clin Electrophysiol, 2022 Dec;8(12):1535-1538.
    PMID: 36543504 DOI: 10.1016/j.jacep.2022.09.014
    Matched MeSH terms: Risk Factors
  2. Kow CS, Ramachandram DS, Hasan SS
    Int J Cardiol, 2023 Apr 15;377:123.
    PMID: 36724830 DOI: 10.1016/j.ijcard.2023.01.076
    Matched MeSH terms: Risk Factors
  3. Wang P, Lam Soh K, Geok Soh K, Xue L, Ning C, Tan Y, et al.
    Clin J Oncol Nurs, 2024 Mar 15;28(2):197-208.
    PMID: 38511915 DOI: 10.1188/24.CJON.197-208
    BACKGROUND: Patients with head and neck cancer are prone to malnutrition, which can lead to adverse health outcomes. A review of the literature revealed a lack of systematic reviews addressing risk factors for malnutrition in this population.

    OBJECTIVES: This study aimed to fill the knowledge gap by identifying risk factors for malnutrition in patients with head and neck cancer.

    METHODS: A comprehensive search was conducted in PubMed®, Web of Science, Embase®, and Cochrane Library databases, spanning from their inception until June 2023. Three researchers critically evaluated the inclusion and exclusion criteria. Two investigators independently screened the literature and extracted data, resolving any discrepancies through consensus.

    FINDINGS: This systematic review includes 18 studies. The results indicated that risk factors for malnutrition in patients with head and neck cancer encompass disease-related, genetic, lifestyle, nutritional health, physiologic, psychological, and treatment-related factors.

    Matched MeSH terms: Risk Factors
  4. Elnaem MH, Elrggal ME, Syed N, Naqvi AA, Hadi MA
    Curr Diabetes Rev, 2021;17(4):503-511.
    PMID: 32928091 DOI: 10.2174/1573399816666200914140939
    INTRODUCTION: Patients with type 2 diabetes mellitus (T2DM) are at significantly higher risk of developing cardiovascular diseases (CVD). There is a scarcity of literature reviews that describe and summarize T2DM patients' knowledge and perception about CVD prevention.

    OBJECTIVES: To describe and summarize the assessment of knowledge and perceptions about CVD risk and preventive approaches among patients with T2DM.

    METHODS: A scoping review methodology was adopted, and three scientific databases, Google Scholar, Science Direct, and PubMed were searched using predefined search terms. A multistage screening process that considered relevancy, publication year (2009-2019), English language, and article type (original research) was followed. We formulated research questions focused on the assessment of levels of knowledge and perceptions of the illness relevant to CVD prevention and the identification of associated patients' characteristics.

    RESULTS: A total of 16 studies were included. Patients were not confident to identify CVD risk and other clinical consequences that may occur in the prognostic pathway of T2DM. Furthermore, patients were less likely to identify all CV risk factors indicating a lack of understanding of the multi-- factorial contribution of CVD risk. Patients' beliefs about medications were correlated with their level of adherence to medications for CVD prevention. Many knowledge gaps were identified, including the basic disease expectations at the time of diagnosis, identification of individuals' CVD risk factors, and management aspects. Knowledge and perceptions were affected by patients' demographic characteristics, e.g., educational level, race, age, and area of residence.

    CONCLUSION: There are knowledge gaps concerning the understanding of CVD risk among patients with T2DM. The findings necessitate educational initiatives to boost CVD prevention among patients with T2DM. Furthermore, these should be individualized based on patients' characteristics, knowledge gaps, disease duration, and estimated CVD risk.

    Matched MeSH terms: Risk Factors
  5. Mikton C, Beaulieu M, Burnes D, Choo WY, Herbst JH, Pillemer K, et al.
    Nat Aging, 2022 Nov;2(11):973-975.
    PMID: 37118090 DOI: 10.1038/s43587-022-00301-0
    Currently, there are no evidence-based interventions to prevent and respond to abuse of older people. We propose to create, within the Decade of Healthy Ageing 2021–2030, an intervention accelerator to speed up the development of effective interventions for abuse of older people in community and institutional settings within low-, middle- and high-income countries.
    Matched MeSH terms: Risk Factors
  6. Seghatoleslam T, Habi H, Rashid RA, Mosavi N, Asmaee S, Naseri A
    Iran J Public Health, 2012;41(5):39-45.
    PMID: 23113176
    THE CURRENT STUDY AIMED TO TEST THE HYPOTHESIS: Is suicide predictable? And try to classify the predictive factors in multiple suicide attempts.
    Matched MeSH terms: Risk Factors
  7. Chung F, Zavadil J
    J Pathol, 2024 Jan;262(1):1-3.
    PMID: 37929656 DOI: 10.1002/path.6224
    Hepatic angiosarcoma is a rare, highly aggressive malignancy of the liver. The tumorigenesis of hepatic angiosarcoma has been relatively understudied in terms of aetiology and molecular properties. A recent study published in The Journal of Pathology revealed a strong association between hepatic angiosarcoma incidence and chronic kidney disease, particularly in end-stage renal disease using population-based data from the National Health Insurance Research Database in Taiwan and an institutional cohort. The study also revealed enrichment in the mutational signature of aristolochic acid exposure and is the first reported observation of this mutational signature in human sarcomas. © 2023 The Pathological Society of Great Britain and Ireland.
    Matched MeSH terms: Risk Factors
  8. Lee TB, Kueh MTW, Jain V, Razavi AC, Alebna P, Chew NWS, et al.
    Curr Cardiol Rep, 2023 Dec;25(12):1783-1795.
    PMID: 37971635 DOI: 10.1007/s11886-023-01993-5
    PURPOSE OF REVIEW: The objective of this manuscript is to examine the current literature on non-alcoholic fatty liver disease (NAFLD) biomarkers and their correlation with cardiovascular disease (CVD) outcomes and cardiovascular risk scores.

    RECENT FINDINGS: There has been a growing appreciation for an independent link between NAFLD and CVD, culminating in a scientific statement by the American Heart Association in 2022. More recently, studies have begun to identify biomarkers of the three NAFLD phases as potent predictors of cardiovascular risk. Despite the body of evidence supporting a connection between hepatic biomarkers and CVD, more research is certainly needed, as some studies find no significant relationship. If this relationship continues to be robust and readily reproducible, NAFLD and its biomarkers may have an exciting role in the future of cardiovascular risk prediction, possibly as risk-enhancing factors or as components of novel cardiovascular risk prediction models.

    Matched MeSH terms: Risk Factors
  9. Dapari R, Ismail H, Ismail R, Ismail NH
    Tanaffos, 2017;16(1):46-52.
    PMID: 28638424
    BACKGROUND: The Delphi method has been widely applied in many study areas to systematically gather experts' input on particular topic. Recently, it has become increasingly well known in health related research. This paper applied the Fuzzy Delphi method to enhance the validation of a questionnaire pertaining chronic obstructive pulmonary disease (COPD) risk factors among metal industry workers.

    MATERIALS AND METHODS: A detailed, predefined list of possible risk factors for COPD among metal industry workers was created through a comprehensive and exhaustive review of literature from 1995 to 2015. The COPD questionnaire were distributed among people identified as occupational, environmental, and hygiene experts. Linguistic variable using Likert scale was used by the expert to indicate their expert judgment of each item. Subsequently, the linguistic variable was converted into a triangular fuzzy number. The average score of the fuzzy number will be used to determine whether the item will be removed or retained.

    RESULTS: Ten experts were involved in evaluating 26 items. The experts were in agreement with most of the items, with an average fuzzy number range between 0.429 and 0.800. Two items were removed and three items were added, leaving a total 26 items selected for the COPD risk factors questionnaire. The experts were in disagreement with each other for items F10 and F11 where most of the experts claimed that the question is too subjective and based on self-perception only.

    CONCLUSION: The fuzzy Delphi method enhanced the accuracy of the questionnaire pertaining to COPD risk factors, and decreased the length of the established tools.
    Matched MeSH terms: Risk Factors*
  10. Lee WS, Wong SY, Wong SY, Koay ZL, Safuan NSK, Sam ZH, et al.
    Ann Acad Med Singap, 2021 Jul;50(7):580-582.
    PMID: 34342340 DOI: 10.47102/annals-acadmedsg.2020586
    Matched MeSH terms: Risk Factors
  11. Mohd Faizal AS, Thevarajah TM, Khor SM, Chang SW
    Comput Methods Programs Biomed, 2021 Aug;207:106190.
    PMID: 34077865 DOI: 10.1016/j.cmpb.2021.106190
    Cardiovascular disease (CVD) is the leading cause of death worldwide and is a global health issue. Traditionally, statistical models are used commonly in the risk prediction and assessment of CVD. However, the adoption of artificial intelligent (AI) approach is rapidly taking hold in the current era of technology to evaluate patient risks and predict the outcome of CVD. In this review, we outline various conventional risk scores and prediction models and do a comparison with the AI approach. The strengths and limitations of both conventional and AI approaches are discussed. Besides that, biomarker discovery related to CVD are also elucidated as the biomarkers can be used in the risk stratification as well as early detection of the disease. Moreover, problems and challenges involved in current CVD studies are explored. Lastly, future prospects of CVD risk prediction and assessment in the multi-modality of big data integrative approaches are proposed.
    Matched MeSH terms: Risk Factors
  12. Yamin DH, Husin A, Harun A
    Front Public Health, 2021;9:631865.
    PMID: 34458217 DOI: 10.3389/fpubh.2021.631865
    Catheter-related bloodstream infection (CRBSI) is an important healthcare-associated infection caused by various nosocomial pathogens. Candida parapsilosis has emerged as a crucial causative agent for the CRBSI in the last two decades. Many factors have been associated with the development of CRBSI including, demography, pre-maturity, comorbidities (diabetes mellitus, hypertension, heart diseases, neuropathy, respiratory diseases, renal dysfunction, hematological and solid organ malignancies, and intestinal dysfunction), intensive care unit (ICU) admission, mechanical ventilation (MV), total parenteral nutrition (TPN), prior antibiotic and/or antifungal therapy, neutropenia, prior surgery, immunosuppressant, and type, site, number, and duration of catheters. This study aims to determine C. parapsilosis CRBSI risk factors. A retrospective study has been performed in an 853-bedded tertiary-care hospital in north-eastern Malaysia. All inpatients with C. parapsilosis positive blood cultures from January 2006 to December 2018 were included, and their medical records were reviewed using a standardized checklist. Out of 208 candidemia episodes, 177 had at least one catheter during admission, and 31 cases had not been catheterized and were excluded. Among the 177 cases, 30 CRBSI cases were compared to 147 non-CRBSI cases [81 bloodstream infections (BSIs), 66 catheter colonizers]. The significance of different risk factors was calculated using multivariate analysis. Multivariate analysis of potential risk factors shows that ICU admission was significantly associated with non-CRBSI as compared to CRBSI [OR, 0.242; 95% CI (0.080-0.734); p = 0.012], and TPN was significantly positively associated with CRBSI than non-CRBSI [OR, 3.079; 95%CI (1.125-8.429); p = 0.029], while other risk factors were not associated significantly. Patients admitted in ICU were less likely to develop C. parapsilosis CRBSI while patients receiving TPN were more likely to have C. parapsilosis CRBSI when compared to the non-CRBSI group.
    Matched MeSH terms: Risk Factors
  13. Biswas R, Hall DA
    PMID: 32840860 DOI: 10.1007/7854_2020_154
    How many people are affected by tinnitus? Is the risk of developing tinnitus on the rise or has it been declining over time? What modifiable lifestyle factors could help to prevent tinnitus? These population-based questions can be addressed through epidemiological research. Epidemiology refers to the underlying and basic science of public health. It describes the study of the distribution and determinants of health-related states or events in specified populations and the application of this study to the control of health problems. There are two key concepts in epidemiology: (1) measures of frequency and (2) measures of effect. In this chapter, we introduce the two main measures of frequency, prevalence and incidence. We also introduce the notion of risk factors, critical for understanding measures of effect concerning the risk of developing a health condition. In both sections, we provide illustrative examples from the published literature on tinnitus. We end by offering a critical evaluation of the current status of epidemiological research on tinnitus and point to some promising future directions.
    Matched MeSH terms: Risk Factors
  14. Ahmed N, Arshad S, Basheer SN, Karobari MI, Marya A, Marya CM, et al.
    PMID: 34769523 DOI: 10.3390/ijerph182111003
    Despite growing knowledge of the adverse effects of cigarette smoking on general health, smoking is one of the most widely prevalent addictions around the world. Globally, about 1.1 billion smokers and over 8 million people die each year because of cigarette smoking. Smoking acts as a source for a variety of oral and systemic diseases. Various periodontal issues such as increased pocket depth, loss of alveolar bone, tooth mobility, oral lesions, ulcerations, halitosis, and stained teeth are more common among smokers. This systematic review was conducted according to the guidelines from PRISMA, and research articles were retrieved from the Web database sources on 31 May 2021. The quality of research articles was ensured by the type of evidence from combined schema incorporating as schema-13 evidence type description, Cochrane health promotion and public health field (CHPPHF), and the health gains notation framework-14 screening question for quality assessment of qualitative and quantitative studies. Smokers have been found to have bleeding on probing, periodontal pockets, and clinical attachment loss compared to nonsmokers. Oral and respiratory cancers are among the most lethal known diseases caused by cigarette smoking and other commonly occurring sequelae such as stained teeth, periodontal diseases, etc.
    Matched MeSH terms: Risk Factors
  15. Satar SNA, Mogan S, Jaafar WPN, Maghalingam S, Affendi FAR, Ng CF, et al.
    Med J Malaysia, 2023 Mar;78(2):149-154.
    PMID: 36988523
    INTRODUCTION: Electroencephalogram (EEG) is an important investigational tool that is widely used in the hospital settings for numerous indications. The aim was to determine factors associated with abnormal EEG and its clinical correlations in hospitalised patients.

    MATERIALS AND METHODS: Patients with at least one EEG recording were recruited. The EEG and clinical data were collated.

    RESULTS: Two hundred and fifty patients underwent EEG and 154 (61.6%) were found to have abnormal EEG. The abnormal changes consist of theta activity (79,31.6%), delta activity (20, 8%), focal discharges (41,16.4%) and generalised discharges (14, 5.6%). Older patients had 3.481 higher risk for EEG abnormalities, p=0.001. Patients who had focal seizures had 2.240 higher risk of having EEG abnormalities, p<0.001. Low protein level was a risk for EEG abnormalities, p=0.003.

    CONCLUSION: This study emphasised that an abnormal EEG remains a useful tool in determining the likelihood for seizures in a hospital setting. The risk factors for EEG abnormality in hospitalised patients were age, focal seizures and low protein level. The EEG may have an important role as part of the workup in hospitalised patients to aid the clinician to tailor their management in a holistic manner.

    Matched MeSH terms: Risk Factors
  16. Gad H, Kalra S, Pinzon R, Gracia RN, Yotsombut K, Coetzee A, et al.
    J Peripher Nerv Syst, 2024 Mar;29(1):28-37.
    PMID: 38268316 DOI: 10.1111/jns.12613
    Peripheral neuropathy (PN) often remains undiagnosed (~80%). Earlier diagnosis of PN may reduce morbidity and enable earlier risk factor reduction to limit disease progression. Diabetic peripheral neuropathy (DPN) is the most common PN and the 10 g monofilament is endorsed as an inexpensive and easily performed test for DPN. However, it only detects patients with advanced neuropathy at high risk of foot ulceration. There are many validated questionnaires to diagnose PN, but they can be time-consuming and have complex scoring systems. Primary care physicians (PCPs) have busy clinics and lack access to a readily available screening method to diagnose PN. They would prefer a short, simple, and accurate tool to screen for PN. Involving the patient in the screening process would not only reduce the time a physician requires to make a diagnosis but would also empower the patient. Following an expert meeting of diabetologists and neurologists from the Middle East, South East Asia and Latin America, a consensus was formulated to help improve the diagnosis of PN in primary care using a simple tool for patients to screen themselves for PN followed by a consultation with the physician to confirm the diagnosis.
    Matched MeSH terms: Risk Factors
  17. Mohamad MA, Leong Bin Abdullah MFI, Shari NI
    BMC Geriatr, 2024 Mar 14;24(1):254.
    PMID: 38486186 DOI: 10.1186/s12877-024-04753-4
    BACKGROUND: People with dementia and their caregivers are prone to suicidal behaviors due to difficulty adjusting to their initial caregiving role and due to emotional disturbances resulting from deterioration of functioning. The present systematic review (1) explored the prevalence of and risk factors for suicidal behavior and (2) assessed the similarities and differences in the prevalence and risk factors for suicidal behavior between people with dementia and their caregivers.

    METHODS: A comprehensive literature search for research articles published between 1950 and 2023 was carried out using major databases, such as Google Scholar, Web of Science, PubMed, Scopus, PsycINFO, EMBASE, the Cochrane Library, and Medline.

    RESULTS: A total of 40 research articles were selected for review. A total of 12 research articles revealed that the prevalence of suicidal behavior among caregivers ranged from 4.7% to 26%. However, the risk of suicidal behavior among people with dementia was inconsistent, as only 17 out of 28 selected studies reported the risk of suicidal behavior among people with dementia. The risk factors associated with suicidal behavior among caregivers of people with dementia could be both self-related and care receiver-related factors, whereas risk factors in people with dementia were self-related factors. Notably, greater cognitive decline, which impairs individuals' ability to carry out complex acts and planning, may lower their suicidal risk. Finally, assessment of the risk of bias indicated that 95% of the selected studies had unclear risk.

    CONCLUSION: Self-related and care receiver-related factors should be assessed among caregivers of people with dementia to evaluate the risk of suicidal behavior. In addition, we recommend evaluating suicidal risk in people with dementia in the early phase of dementia when cognitive decline is less severe. However, as the majority of the selected studies had unclear risk of bias, future studies with improved methodologies are warranted to confirm our study findings.

    Matched MeSH terms: Risk Factors
  18. Aftab S, Ejaz I, Waqar U, Khan HI, Hanif A, Usman A, et al.
    Background: Pneumonia is defined as the inflammation of parenchyma of the lung. It is a substantial cause of morbidity and mortality in childhood throughout the world. The incidence of pneumonia in children under the age of five years is 0.29 episodes per child-year, which equates 151.8 million cases annually in developing countries. Objective: To determine the risk factors for complicated pneumonia.

    Material and Methods: This case-control study conducted in Medical Unit III, The Children’s Hospital & Institute of Child Health Lahore. Out of total of 180 cases of pneumonia, 100 were labeled as complicated pneumonia (case) and 80 were labeled as uncomplicated pneumonia (control). Complicated pneumonia included pneumonia with associated complications. Detail history was taken in both groups and recorded on predesigned proforma. Data was analyzed by SPSS 20. Quantitative risk factors like child age, maternal age and father age were analyzed by mean and standard deviation. However qualitative risk factors like method of feeding, malnutrition, immunization, anaemia, and non-vaccination were analyzed by applying chi-square test and finding odd ratios.

    Results: Most significant risk factors associated with complicated pneumonia included younger age, maternal and father education, rural area, malnutrition, anaemia, rickets, birth problems, admission during neonatal life due to pneumonia, bottle feeding, nonvaccination, referral and delayed in presentation (p
    Matched MeSH terms: Risk Factors*
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