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1.
Journal of Stroke ; : 224-235, 2022.
Article in English | WPRIM (Western Pacific) | ID: wpr-938176

ABSTRACT

Background@#and Purpose The association of dyslipidemia with stroke has been inconsistent, which may be due to differing associations within etiological stroke subtypes. We sought to determine the association of lipoproteins and apolipoproteins within stroke subtypes. @*Methods@#Standardized incident case-control STROKE study in 32 countries. Cases were patients with acute hospitalized first stroke, and matched by age, sex and site to controls. Concentrations of total cholesterol, high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), apolipoprotein A1 (apoA1), and apoB were measured. Non-HDL-C was calculated. We estimated multivariable odds ratio (OR) and population attributable risk percentage (PAR%). Outcome measures were all stroke, ischemic stroke (and subtypes), and intracerebral hemorrhage (ICH). @*Results@#Our analysis included 11,898 matched case-control pairs; 77.3% with ischemic stroke and 22.7% with ICH. Increasing apoB (OR, 1.10; 95% confidence interval [CI], 1.06 to 1.14 per standard deviation [SD]) and LDL-C (OR, 1.06; 95% CI, 1.02 to 1.10 per SD) were associated with an increase in risk of ischemic stroke, but a reduced risk of ICH. Increased apoB was significantly associated with large vessel stroke (PAR 13.4%; 95% CI, 5.6 to 28.4) and stroke of undetermined cause. Higher HDL-C (OR, 0.75; 95% CI, 0.72 to 0.78 per SD) and apoA1 (OR, 0.63; 95% CI, 0.61 to 0.66 per SD) were associated with ischemic stroke (and subtypes). While increasing HDL-C was associated with an increased risk of ICH (OR, 1.20; 95% CI, 1.14 to 1.27 per SD), apoA1 was associated with a reduced risk (OR, 0.80; 95% CI, 0.75 to 0.85 per SD). ApoB/A1 (OR, 1.38; 95% CI, 1.32 to 1.44 per SD) had a stronger magnitude of association than the ratio of LDL-C/HDL-C (OR, 1.26; 95% CI, 1.21 to 1.31 per SD) with ischemic stroke (P<0.0001). @*Conclusions@#The pattern and magnitude of association of lipoproteins and apolipoproteins with stroke varies by etiological stroke subtype. While the directions of association for LDL, HDL, and apoB were opposing for ischemic stroke and ICH, apoA1 was associated with a reduction in both ischemic stroke and ICH. The ratio of apoB/A1 was the best lipid predictor of ischemic stroke risk.

2.
Afr Health Sci ; 19(1): 1607-1616, 2019 Mar.
Article in English | MEDLINE | ID: mdl-31148990

ABSTRACT

BACKGROUND: The aim of this study was to determine the prevalence and factors associated with microalbuminuria among newly diagnosed diabetic patients in Mulago National Referral Hospital, Uganda. METHODS: In this cross-sectional study conducted between June 2014 and January 2015, we collected information on patients' socio-demographics, biophysical profile, blood pressure, biochemical testing and echocardiographic findings using a pre-tested questionnaire. Bivariate and multivariate logistic regression analyses were used to investigate the association of several factors with microalbuminuria. RESULTS: Of the 175 patients recruited, males were 90(51.4%) and the mean age was 46±15 years. Majority of patients had type 2 DM 140 (80.0%) and the rest had type 1 DM 35 (20.0%). Mean glycated hemoglobin (HbA1C) was 13.9±5.3%. Mean duration of diabetes was 2 months. Prevalence of microalbuminuria was 47.4 % (95% CI: 40.0%-54.9%) overall. Pregnancy was associated with microalbuminuria (OR7.74[95%CI.1.01-76.47] P=0.050) while mild and moderate physical activity at work were inversely associated with microalbuminuria respectively (OR0.08[95%CI0.01-0.95] P=0.046) and (OR0.07[95%CI0.01-0.77] P=0.030). CONCLUSION: Prevalence of microalbuminuria was high in this group. Physical activity at work may be protective against microalbuminuria and this calls for longitudinal studies. Early detection and management of microalbuminuria in diabetics may slow progression to overt diabetic nephropathy (DN).


Subject(s)
Albuminuria/diagnosis , Creatinine/blood , Creatinine/urine , Diabetes Mellitus, Type 2/epidemiology , Adolescent , Adult , Albuminuria/epidemiology , Albuminuria/etiology , Biomarkers/urine , Cross-Sectional Studies , Diabetes Mellitus, Type 2/complications , Female , Glycated Hemoglobin/analysis , Humans , Male , Mass Screening , Middle Aged , Prevalence , Risk Factors , Uganda/epidemiology
3.
Global Health ; 10: 77, 2014 Nov 19.
Article in English | MEDLINE | ID: mdl-25406738

ABSTRACT

The demographic and nutritional transitions taking place in Uganda, just as in other low- and middle-income countries (LMIC), are leading to accelerating growth of chronic, non-communicable diseases (NCDs). Though still sparse, locally derived data on NCDs in Uganda has increased greatly over the past five years and will soon be bolstered by the first nationally representative data set on NCDs. Using these available local data, we describe the landscape of the globally recognized major NCDs- cardiovascular disease, diabetes, cancer, and chronic respiratory disease- and closely examine what is known about other locally important chronic conditions. For example, mental health disorders, spawned by an extended civil war, and highly prevalent NCD risk factors such as excessive alcohol intake and road traffic accidents, warrant special attention in Uganda. Additionally, we explore public sector capacity to tackle NCDs, including Ministry of Health NCD financing and health facility and healthcare worker preparedness. Finally, we describe a number of promising initiatives that are addressing the Ugandan NCD epidemic. These include multi-sector partnerships focused on capacity building and health systems strengthening; a model civil society collaboration leading a regional coalition; and a novel alliance of parliamentarians lobbying for NCD policy. Lessons learned from the ongoing Ugandan experience will inform other LMIC, especially in sub-Saharan Africa, as they restructure their health systems to address the growing NCD epidemic.


Subject(s)
Capacity Building/organization & administration , Chronic Disease/epidemiology , Delivery of Health Care/organization & administration , Developing Countries , Health Policy , Africa South of the Sahara , Capacity Building/economics , Chronic Disease/economics , Chronic Disease/therapy , Cooperative Behavior , Delivery of Health Care/economics , Female , Financial Support , Humans , Male , Mental Disorders/epidemiology , Mental Disorders/therapy , Poverty , Public Sector/organization & administration , Uganda
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