Treatment seeking behaviours, antibiotic use and relationships to multi-drug resistance: A study of urinary tract infection patients in Kenya, Tanzania and Uganda.

Antibacterial resistance (ABR) is a major public health threat. An important accelerating factor is treatment-seeking behaviour, including inappropriate antibiotic (AB) use. In many low- and middle-income countries (LMICs) this includes taking ABs with and without prescription sourced from various providers, including health facilities and community drug sellers. However, investigations of complex treatment-seeking, AB use and drug resistance in LMICs are scarce. The Holistic Approach to Unravel Antibacterial Resistance in East Africa (HATUA) Consortium collected questionnaire and microbiological data from adult outpatients with urinary tract infection (UTI)-like symptoms presenting at healthcare facilities in Kenya, Tanzania and Uganda. Using data from 6,388 patients, we analysed patterns of self-reported treatment seeking behaviours ('patient pathways') using process mining and single-channel sequence analysis. Among those with microbiologically confirmed UTI (n = 1,946), we used logistic regression to assess the relationship between treatment seeking behaviour, AB use, and the likelihood of having a multi-drug resistant (MDR) UTI. The most common treatment pathway for UTI-like symptoms in this sample involved attending health facilities, rather than other providers like drug sellers. Patients from sites in Tanzania and Uganda, where over 50% of patients had an MDR UTI, were more likely to report treatment failures, and have repeat visits to providers than those from Kenyan sites, where MDR UTI proportions were lower (33%). There was no strong or consistent relationship between individual AB use and likelihood of MDR UTI, after accounting for country context. The results highlight the hurdles East African patients face in accessing effective UTI care. These challenges are exacerbated by high rates of MDR UTI, suggesting a vicious cycle of failed treatment attempts and sustained selection for drug resistance. Whilst individual AB use may contribute to the risk of MDR UTI, our data show that factors related to context are stronger drivers of variations in ABR.

Long-term exposure to air pollution and mortality in Scotland: A register-based individual-level longitudinal study.

BACKGROUND: Air pollution is associated with several adverse health outcomes. However, heterogeneity in the size of effect estimates between cohort studies for long-term exposures exist and pollutants like SO2 and mental/behavioural health outcomes are little studied. This study examines the association between long-term exposure to multiple ambient air pollutants and all-cause and cause-specific mortality from both physical and mental illnesses. METHODS: We used individual-level administrative data from the Scottish-Longitudinal-Study (SLS) on 202,237 individuals aged 17 and older, followed between 2002 and 2017. The SLS dataset was linked to annual concentrations of NO2, SO2, and particulate-matter (PM10, PM2.5) pollution at 1 km2 spatial resolution using the individuals' residential postcode. We applied survival analysis to assess the association between air pollution and all-cause, cardiovascular, respiratory, cancer, mental/behavioural disorders/suicides, and other-causes mortality. RESULTS: Higher all-cause mortality was associated with increasing concentrations of PM2.5, PM10, NO2, and SO2 pollutants. NO2, PM10, and PM2.5 were also associated with cardiovascular, respiratory, cancer and other-causes mortality. For example, the mortality hazard from respiratory diseases was 1.062 (95%CI = 1.028-1.096), 1.025 (95%CI = 1.005-1.045), and 1.013 (95%CI = 1.007-1.020) per 1 µg/m3 increase in PM2.5, PM10 and NO2 pollutants, respectively. In contrast, mortality from mental and behavioural disorders was associated with 1 µg/m3 higher exposure to SO2 pollutant (HR = 1.042; 95%CI = 1.015-1.069). CONCLUSION: This study revealed an association between long-term (16-years) exposure to ambient air pollution and all-cause and cause-specific mortality. The results suggest that policies and interventions to enhance air quality would reduce the mortality hazard from cardio-respiratory, cancer, and mental/behavioural disorders in the long-term.

The association of long-term exposure to outdoor air pollution with all-cause GP visits and hospital admissions by ethnicity and country of birth in the United Kingdom.

BACKGROUND: Air pollution is associated with poor health. Yet, more research is needed to reveal the association of long-term exposure to outdoor air pollution with less studied health outcomes like hospital admissions and general-practitioner (GP) visits and whether this association is stronger for ethnic minorities compared to the rest of population. This study investigates the association between air pollution and all-cause GP visits and hospital admissions by ethnicity in the United-Kingdom (UK). METHODS: We used individual-level longitudinal data from the "UK Household Longitudinal Study" including 46,442 adult individuals who provided 140,466 responses across five years (2015-2019). This data was linked to yearly concentrations of NO2, SO2, and particulate-matter (PM10, PM2.5) outdoor pollution using the Lower Super Output Area (LSOA) of residence for each individual. Multilevel mixed-effects ordered logistic models were used to assess the association between air pollution and all-cause GP visits and hospital admissions. RESULTS: We found higher odds of hospital admissions per 1 µg/m3 increase in annual concentrations of NO2 (OR = 1.008; 95%CI = 1.004-1.012), SO2 (OR = 1.048; 95%CI = 1.014-1.083), PM10 (OR = 1.011; 95%CI = 1.003-1.018), and PM2.5 (OR = 1.018; 95%CI = 1.007-1.029) pollutants. Higher odds of GP visits were also observed with increased exposure to NO2 (OR = 1.010; 95%CI = 1.006-1.014) and SO2 (OR = 1.114; 95%CI = 1.077-1.152) pollutants. The observed associations did not differ across ethnic groups, but by country of birth, they were more pronounced in individuals born outside UK than those born in UK. CONCLUSION: This study supports an association between higher exposure to outdoor air pollution and increased all-cause hospital admissions and GP visits. Further longitudinal studies with longer follow-up time periods may be able to reveal more definite conclusions on the influence of ethnicity on the association between long-term outdoor air pollution and both hospital admissions and GP visits.

The spatial-temporal effect of air pollution on individuals' reported health and its variation by ethnic groups in the United Kingdom: a multilevel longitudinal analysis.

BACKGROUND: Air pollution is associated with poor health; though it is unclear whether this association is stronger for ethnic minorities compared to the rest of the population. This study uses longitudinal data to investigate the spatial-temporal effect of air pollution on individuals' reported health and its variation by ethnicity in the United-Kingdom (UK). METHODS: Longitudinal individual-level data from Understanding Society: the UK Household Longitudinal Study including 67,982 adult individuals with 404,264 repeated responses over 11 years (2009-2019) were utilized and were linked to yearly concentrations of NO2, SO2, and particulate-matter (PM10, PM2.5) pollution once at the local authority and once at the census Lower Super Output Area (LSOA) of residence for each individual. This allows for analysis at two geographical scales over time. The association between air pollution and individuals' health (Likert scale: 1-5, Excellent to poor) and its variation by ethnicity was assessed using three-level mixed-effects ordered logistic models. Analysis distinguished between spatial (between areas) and temporal (across time within each area) effects of air pollution on health. RESULTS: Higher concentrations of NO2, SO2, PM10, and PM2.5 pollution were associated with poorer health. Decomposing air pollution into between (spatial: across local authorities or LSOAs) and within (temporal: across years within each local authority or LSOA) effects showed a significant between effect for NO2 and SO2 pollutants at both geographical scales, while a significant between effect for PM10 and PM2.5 was shown only at the LSOAs level. No significant within effects were detected at an either geographical level. Indian, Pakistani/Bangladeshi, Black/African/Caribbean and other ethnic groups and non-UK-born individuals reported poorer health with increasing concentrations of NO2, SO2, PM10, and PM2.5 pollutants in comparison to the British-white and UK-born individuals. CONCLUSION: Using longitudinal data on individuals' health linked with air pollution data at two geographical scales (local authorities and LSOAs), this study supports the presence of a spatial-temporal association between air pollution and poor self-reported health, which is stronger for ethnic minorities and foreign-born individuals in the UK, partly explained by location-specific differences. Air pollution mitigation is necessary to improve individuals' health, especially for ethnic minorities who are affected the most.

Treatment seeking behaviours, antibiotic use and relationships to multi-drug resistance: A study of urinary tract infection patients in Kenya, Tanzania and Uganda.

Antibacterial resistance (ABR) is a major public health threat. An important accelerating factor is treatment-seeking behaviours, including inappropriate antibiotic (AB) use. In many low- and middle-income countries (LMICs) this includes taking ABs with and without prescription sourced from various providers, including health facilities and community drug sellers. However, investigations of complex treatment-seeking, AB use and drug resistance in LMICs are scarce. The Holistic Approach to Unravel Antibacterial Resistance in East Africa (HATUA) Consortium collected questionnaire and microbiological data from 6,827 adult outpatients with urinary tract infection (UTI)-like symptoms presenting at healthcare facilities in Kenya, Tanzania and Uganda. Among 6,388 patients we analysed patterns of self-reported treatment seeking behaviours ('patient pathways') using process mining and single-channel sequence analysis. Of those with microbiologically confirmed UTI (n=1,946), we used logistic regression to assessed the relationship between treatment seeking behaviour, AB use, and likelihood of having a multi-drug resistant (MDR) UTI. The most common treatment pathways for UTI-like symptoms included attending health facilities, rather than other providers (e.g. drug sellers). Patients from the sites sampled in Tanzania and Uganda, where prevalence of MDR UTI was over 50%, were more likely to report treatment failures, and have repeated visits to clinics/other providers, than those from Kenyan sites, where MDR UTI rates were lower (33%). There was no strong or consistent relationship between individual AB use and risk of MDR UTI, after accounting for country context. The results highlight challenges East African patients face in accessing effective UTI treatment. These challenges increase where rates of MDR UTI are higher, suggesting a reinforcing circle of failed treatment attempts and sustained selection for drug resistance. Whilst individual behaviours may contribute to the risk of MDR UTI, our data show that factors related to context are stronger drivers of ABR.

The role of multidimensional poverty in antibiotic misuse: a mixed-methods study of self-medication and non-adherence in Kenya, Tanzania, and Uganda.

BACKGROUND: Poverty is a proposed driver of antimicrobial resistance, influencing inappropriate antibiotic use in low-income and middle-income countries (LMICs). However, at subnational levels, studies investigating multidimensional poverty and antibiotic misuse are sparse, and the results are inconsistent. We aimed to investigate the relationship between multidimensional poverty and antibiotic use in patient populations in Kenya, Tanzania, and Uganda. METHODS: In this mixed-methods study, the Holistic Approach to Unravelling Antimicrobial Resistance (HATUA) Consortium collected data from 6827 outpatients (aged 18 years and older, or aged 14-18 years and pregnant) with urinary tract infection (UTI) symptoms in health-care facilities in Kenya, Tanzania, and Uganda. We used Bayesian hierarchical modelling to investigate the association between multidimensional poverty and self-reported antibiotic self-medication and non-adherence (ie, skipping a dose and not completing the course). We analysed linked qualitative in-depth patient interviews and unlinked focus-group discussions with community members. FINDINGS: Between Feb 10, 2019, and Sept 10, 2020, we collected data on 6827 outpatients, of whom 6345 patients had complete data; most individuals were female (5034 [79·2%]), younger than 35 years (3840 [60·5%]), worked in informal employment (2621 [41·3%]), and had primary-level education (2488 [39·2%]). Antibiotic misuse was more common among those least deprived, and lowest among those living in severe multidimensional poverty. Regardless of poverty status, difficulties in affording health care, and more familiarity with antibiotics, were related to more antibiotic misuse. Qualitative data from linked qualitative in-depth patient interviews (n=82) and unlinked focus-group discussions with community members (n=44 groups) suggested that self-medication and treatment non-adherence were driven by perceived inconvenience of the health-care system, financial barriers, and ease of unregulated antibiotic access. INTERPRETATION: We should not assume that higher deprivation drives antibiotic misuse. Structural barriers such as inefficiencies in public health care, combined with time and financial constraints, fuel alternative antibiotic access points and treatment non-adherence across all levels of deprivation. In designing interventions to reduce antibiotic misuse and address antimicrobial resistance, greater attention is required to these structural barriers that discourage optimal antibiotic use at all levels of the socioeconomic hierarchy in LMICs. FUNDING: UK National Institute for Health Research, UK Medical Research Council, and the Department of Health and Social Care.

Repeated assessments and predictors of nurses' shift-specific perceived workload.

BACKGROUND: Workload perception is of interest to researchers and policymakers as it captures subjective assessments of nurses' workload which has implications for staffing and patient outcomes. AIMS: We aimed to describe repeated assessments of nurses' perceived workload among registered nurses (RNs) in day and night shifts and to examine the association of perceived workload with workdays, units, and nurse-staffing. METHODS: Repeated data on the indictors of interest were collected from 90 RNs across 91 shifts in a Lebanese acute-care hospital. Perceived workload was assessed using the NASA-Task-Load Index (NASA-TLX). Linear mixed-effect models were used for analysis. RESULTS: Mean perceived workload was high reaching 6.63 (95% confidence interval [CI] = 6.34, 6.92) in day and 5.90 (95% CI = 5.43, 6.36) in night shifts. In mixed-effect models, perceived workload was lower on weekends/holidays as compared to weekdays in day (ß = -.32; 95% CI = -0.53, -0.12) and night (ß = -.46; 95% CI = -0.85, -0.07) shifts. Higher perceived workload (ß = .19; 95% CI = 0.04, 0.33) was associated with higher patient-to-nurse ratio in the day but not night shifts. CONCLUSION: Repeated workload assessments support the presence of elevated perceived workload among RNs which is related to weekdays and higher patient-to-nurse ratio. Future investigations would benefit from better characterization of workload particularities to address perceived burden and improve organizational and management decisions.

Air pollution and individuals' mental well-being in the adult population in United Kingdom: A spatial-temporal longitudinal study and the moderating effect of ethnicity.

BACKGROUND: Recent studies suggest an association between ambient air pollution and mental well-being, though evidence is mostly fragmented and inconclusive. Research also suffers from methodological limitations related to study design and moderating effect of key demographics (e.g., ethnicity). This study examines the effect of air pollution on reported mental well-being in United Kingdom (UK) using spatial-temporal (between-within) longitudinal design and assesses the moderating effect of ethnicity. METHODS: Data for 60,146 adult individuals (age:16+) with 349,748 repeated responses across 10-data collection waves (2009-2019) from "Understanding-Society: The-UK-Household-Longitudinal-Study" were linked to annual concentrations of NO2, SO2, PM10, and PM2.5 pollutants using the individuals' place of residence, given at the local-authority and at the finer Lower-Super-Output-Areas (LSOAs) levels; allowing for analysis at two geographical scales across time. The association between air pollution and mental well-being (assessed through general-health-questionnaire-GHQ12) and its modification by ethnicity and being non-UK born was assessed using multilevel mixed-effect logit models. RESULTS: Higher odds of poor mental well-being was observed with every 10µg/m3 increase in NO2, SO2, PM10 and PM2.5 pollutants at both LSOAs and local-authority levels. Decomposing air pollution into spatial-temporal (between-within) effects showed significant between, but not within effects; thus, residing in more polluted local-authorities/LSOAs have higher impact on poor mental well-being than the air pollution variation across time within each geographical area. Analysis by ethnicity revealed higher odds of poor mental well-being with increasing concentrations of SO2, PM10, and PM2.5 only for Pakistani/Bangladeshi, other-ethnicities and non-UK born individuals compared to British-white and natives, but not for other ethnic groups. CONCLUSION: Using longitudinal individual-level and contextual-linked data, this study highlights the negative effect of air pollution on individuals' mental well-being. Environmental policies to reduce air pollution emissions can eventually improve the mental well-being of people in UK. However, there is inconclusive evidence on the moderating effect of ethnicity.

Variability, shift-specific workloads and rationed care predictors of work satisfaction among Registered nurses providing acute care: A longitudinal study.

AIMS: The aim of this study was to explore nurses' shift-work satisfaction variability across time and its shift-specific predictors: perceived workload, patient-to-nurse ratio and rationing of nursing care. DESIGN: Longitudinal study of 90 Registered nurses (N = 1,303 responses) in a Lebanese hospital over 91 days of data collection. METHODS: Intraclass correlation coefficients (ICCs) were computed to determine shift-work satisfaction variability between individual nurses and working-unit clusters. Generalized linear mixed models were used to explore the workloads and rationed care predictors of nurses' shift-work satisfaction separately for day and night shifts. RESULTS: Variability in shift-work satisfaction was noted between individual nurses in day (ICC = 0.43) and night shifts (ICC = 0.37), but not between medical/surgical units. Nurses satisfied with their shift-specific work were less probably to ration necessary nursing care (OR = 0.68; 95% CI = 0.60-0.77) in day shifts and to perceive high workload demands in both, day (OR = 0.29; 95% CI = 0.23-0.37) and night (OR = 0.29; 95% CI = 0.18-0.47) shifts. Monitoring and lowering workload demands while observing rationing of care is necessary to improve nurses' shift-work satisfaction.

Work environment-related factors and nurses' health outcomes: a cross-sectional study in Lebanese hospitals.

BACKGROUND: Worldwide, studies show a relationship between nurses' health and some work environment factors; however, data on nurses' health and self-perceived workload and nursing task allocation are lacking, particularly for Lebanese nurses. We assessed the relationship of several work environment factors: overall workload and specific temporal, physical, mental, effort, frustration, and performance demands (NASA Task Load Index), staffing resources and adequacy and leadership (Practice Environment Scale of Nursing Work Index), teamwork climate (Safety Attitudes Questionnaire), and nursing task allocation (Basel Extent of Rationing of Nursing Care)) with self-reported musculoskeletal, cardiovascular, skin, and mental health diseases (Work Ability Index) and emotional exhaustion (Maslach Burnout Inventory) among Lebanese nurses. METHODS: A cross-sectional self-report survey was distributed to all 289 registered nurses (RNs) in the medical, surgical, and pediatric units in two Lebanese university-affiliated hospitals; 170 RNs had complete data. Adjusted multivariable logistic regression models were used to estimate the association between work environment factors and health outcomes. RESULTS: The most prevalent outcomes were musculoskeletal disease (69%), emotional exhaustion (59%), and mental health problems (56%); 70% of RNs had ≥2 and 35.29% had ≥4 co-occurring health problems. Musculoskeletal disease was associated with higher overall (OR = 1.36 (95%CI = 1.03, 1.80)), temporal (OR = 1.30 (95%CI = 1.09, 1.55)), and physical demands (OR = 1.20 (95%CI = 1.03, 1.49)), higher task allocation to RNs (OR = 1.11 (95%CI = 1.01, 1.23)) and lower teamwork climate (OR = 0.60 (95%CI = 0.36, 0.98). Higher odds of mental/emotional problems were associated with higher overall, temporal, frustration, and effort demands, and lower teamwork climate, performance satisfaction, and resources adequacy (increased odds ranging from 18 to 88%). Work environment indicators were associated with higher co-occurrence of health problems. CONCLUSIONS: Results show elevated health burden and co-morbidity among Lebanese RNs and highlight the value of comprehensive approaches that can simultaneously improve several work environment factors (namely self-perceived workload, teamwork,, resources, and nursing task allocation) to reduce this burden.

The effect of air-pollution and weather exposure on mortality and hospital admission and implications for further research: A systematic scoping review.

BACKGROUND: Air-pollution and weather exposure beyond certain thresholds have serious effects on public health. Yet, there is lack of information on wider aspects including the role of some effect modifiers and the interaction between air-pollution and weather. This article aims at a comprehensive review and narrative summary of literature on the association of air-pollution and weather with mortality and hospital admissions; and to highlight literature gaps that require further research. METHODS: We conducted a scoping literature review. The search on two databases (PubMed and Web-of-Science) from 2012 to 2020 using three conceptual categories of "environmental factors", "health outcomes", and "Geographical region" revealed a total of 951 records. The narrative synthesis included all original studies with time-series, cohort, or case cross-over design; with ambient air-pollution and/or weather exposure; and mortality and/or hospital admission outcomes. RESULTS: The final review included 112 articles from which 70 involved mortality, 30 hospital admission, and 12 studies included both outcomes. Air-pollution was shown to act consistently as risk factor for all-causes, cardiovascular, respiratory, cerebrovascular and cancer mortality and hospital admissions. Hot and cold temperature was a risk factor for wide range of cardiovascular, respiratory, and psychiatric illness; yet, in few studies, the increase in temperature reduced the risk of hospital admissions for pulmonary embolism, angina pectoris, chest, and ischemic heart diseases. The role of effect modification in the included studies was investigated in terms of gender, age, and season but not in terms of ethnicity. CONCLUSION: Air-pollution and weather exposure beyond certain thresholds affect human health negatively. Effect modification of important socio-demographics such as ethnicity and the interaction between air-pollution and weather is often missed in the literature. Our findings highlight the need of further research in the area of health behaviour and mortality in relation to air-pollution and weather, to guide effective environmental health precautionary measures planning.

Trends and variability of implicit rationing of care across time and shifts in an acute care hospital: A longitudinal study.

BACKGROUND: Implicit rationing of nursing care is associated with work environment factors. Yet a deeper understanding of trends and variability is needed. AIMS: To explore the trends and variability of rationing of care per shift between individual nurses, services over time, and its relationship with work environment factors. METHODS: Longitudinal study including 1,329 responses from 90 nurses. Intraclass correlation coefficients (ICC) were computed to examine variability of rationing per shift between individual nurses, services, and data collection time; generalized linear mixed models were used to explore the relationship with work environment factors. RESULTS: Percentage of rationing of nursing activities exceeded 10% during day and night shifts. Significant variability in rationing items was observed between nurses, with ICCs ranging between 0.20 and 0.59 in day shifts, and between 0.35 and 0.85 in night shifts. Rationing of care was positively associated with nurses' self-perceived workload in both shifts, but not with patient-to-nurse ratios. CONCLUSION: Most variability in rationing over time was explained by the individual. IMPLICATIONS FOR NURSING MANAGEMENT: Nurse managers and leaders need to develop and implement educational programs on implicit rationing of nursing care to strengthening nurses' skills related to decision-making, prioritization and time management.

The association of antidepressant monotherapy and weight change in a Middle Eastern psychiatric population.

Genetic and lifestyle factors influence weight changes secondary to antidepressants. However, the association between antidepressants and weight changes is seldom studied in Middle Eastern populations who have a unique genetic, lifestyle and dietary profile. This is a chart-based retrospective longitudinal study that describes the 6-month evolution of weight in outpatient Lebanese adults initiated on serotonin reuptake inhibitor (SRI) antidepressant monotherapy, with the exclusion of confounders with metabolic implications. A linear mixed model was used to estimate the association of weight with time. Demographic factors were tested for interaction with the model. The sample consisted of 200 antidepressant trials. After adjusting for baseline weight, age, and sex, weight did not change significantly from week 1 to week 4 (P = 0.530) but significantly increased by 0.15 kg/week from week 4 to week 24 (P < 0.05). Sex, baseline weight, alcohol use, tobacco use, and presence of metabolic condition(s) did not affect weight change (P > 0.05). The same changes were observed across all SRIs and diagnoses. Our results show that SRI monotherapy is associated with weight gain throughout the treatment course in a Middle Eastern population. We recommend judicious prescription of SRIs and clinical vigilance over weight throughout the course of treatment in these populations.

Decentralization of solid waste management services in rural Lebanon: Barriers and opportunities.

Rapid urbanization, closure of dumps, and insufficient infrastructure funding in Lebanon have resulted in improper municipal solid waste management (MSWM), creating a continuing trash crisis in recent years. In Beirut and Mount Lebanon, MSWM was carried out in centralized waste processing and disposal facilities operated by the government. The trash crisis and failure of the centralized system prompted several municipal authorities to decentralize MSWM by establishing local facilities, paid by the council taxes charged to beneficiary households. To study the feasibility of decentralized MSWM, a survey of 228 households in a rural village in Lebanon explored households' willingness to pay (WTP) for a local MSWM service. For data analysis, a multivariate Tobit model was used to examine the determinants of the WTP amount. Results showed that 79% of surveyed households in the studied village were willing to support local MSWM improvements by contributing an average yearly fee of US$48, representing a 30% increase in their current council taxes. Analysis showed a significant positive association between the WTP amount and the household monthly income level, the residents perceived needs for urgency to act on solid waste management, and the households' responsibility to be involved in MSWM. An interview with the municipality mayor later revealed that financial, technical, and land resources are lacking to enable consideration of a decentralized project for MSWM in the village. Municipalities in rural areas have limited resources and are unable to sustain a decentralized MSWM service unless adjacent towns join effort in supporting and financing MSWM initiatives.

TOAST classification and risk factors of ischemic stroke in Lebanon.

OBJECTIVES: Ischemic stroke is a common cause of morbidity and mortality especially in the increasingly older population. The variability in ischemic stroke subtypes and its risk factors across different populations suggest that more effort is needed to describe the stroke characteristics in order to develop a more tailored management for each population. We aim to describe the demographic characteristics, risk factors, and subtype distribution of subjects with ischemic stroke in the Lebanese population. MATERIALS AND METHODS: We conducted a cross-sectional study based on chart review on patients with ischemic stroke/transient ischemic attack at the American University of Beirut Medical center between 2015 and 2017. RESULTS: A total of 284 cases were included with a mean age of 72 years, and 58% male gender. The most commonly identified risk factors were hypertension (77%), dyslipidemia (62%), and diabetes mellitus (42%), while atrial fibrillation was only found in 27% of cases. The cohort distribution according to TOAST classification was as follows: 15% large artery stroke, 31% cardioembolic stroke, 17% small artery stroke, 10% stroke of other determined causes, and 27% stroke of unknown cause. CONCLUSION: This is the first study to address ischemic stroke characteristics in Lebanon.