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1.
J Clin Ultrasound ; 52(4): 426-434, 2024 May.
Article in English | MEDLINE | ID: mdl-38406988

ABSTRACT

BACKGROUND: Differentiating cardiovascular causes of dyspnea in resource-limited healthcare settings can be challenging. The use of easy-to-train, point-of-care, focused cardiac ultrasound (FoCUS) protocols may potentially alleviate this challenge. RESEARCH QUESTION: Can novices attain competency in FoCUS use after training using the cardiac ultrasound for resource-limited settings (CURLS) protocol? METHODS: A quasi-experimental study was conducted at the Kenyatta National Hospital in Nairobi, Kenya. Forty-five graduate medical pre-interns, novices in cardiac ultrasound, received simulated didactic and hands-on FoCUS skills training using the CURLS protocol and 2018 European Association of Cardiovascular Imaging (EACVI) FoCUS training and competence assessment recommendations. Competency was assessed in image interpretation, image acquisition, and image quality. RESULTS: Aggregate image interpretation competency was attained by n = 38 (84%) of trainees with a median score of 80%. The proportion of trainees attaining category-specific image interpretation competency was as follows: pericardial effusion n = 44 (98%), left atrial enlargement n = 40 (89%), cardiomyopathy n = 38 (84%), left ventricular hypertrophy n = 37 (82%), and right ventricular enlargement n = 29 (64%). Image acquisition skills competency was attained by n = 36 (80%) of trainees. Three-quarters of trainee-obtained images were of good quality. CONCLUSION: Majority of the trainees attained competency. Training constraints limit the generalizability of our findings.


Subject(s)
Clinical Competence , Dyspnea , Echocardiography , Humans , Clinical Competence/statistics & numerical data , Dyspnea/diagnostic imaging , Male , Female , Echocardiography/methods , Kenya , Adult , Heart Diseases/diagnostic imaging , Heart Diseases/complications , Internship and Residency , Point-of-Care Systems
2.
Afr Health Sci ; 22(2): 420-427, 2022 Jun.
Article in English | MEDLINE | ID: mdl-36407364

ABSTRACT

Erectile dysfunction (ED) in males can be organic or/and psychological. Objective: To determine the burden of ED among adult hypertensive men attending ambulatory clinic at Kenyatta National Hospital, Nairobi, Kenya. Methods: Descriptive cross-sectional study on patients on antihypertensive medications, followed for ≥ one month. The tools used were five-item International Index of Erectile Function (IIEF-5) for ED and Alcohol Use Disorders Identification Test for alcohol use. Results: Among 385 patients, the mean age was 56.2 ±11.3 years, median follow up in medical clinic was 5 years. The mean body mass index was 26.3 ± 4.6 kg/m2, 209(54.3%) were pre-obese/obese. Current smokers were 76(19.7%) while 133(34.5%) were former smokers. Alcohol use in the past year was reported by 256(68.5%), while hazardous alcohol intake was in 54(14%). Prescribed antihypertensives in various combinations included angiotensin converting enzyme inhibitors/angiotensin receptor blockers to 292(75.8%), calcium channel blockers to 238(61.8%), beta blockerso 129(33.5%) and thiazide diuretics on 77(20%). Using IIEF-5 tool, the prevalence of ED was 364(94.5%) (95%CI 92.2-96.6) distributed as mild in 255(70%), moderate 76(21.9%) and 33(9.1%) severe. Conclusion: The burden of ED is high among hypertensive males. Precipitants of ED like cigarette smoking and alcohol use and use of antihypertensives which can cause ED are prevalent too.


Subject(s)
Alcoholism , Erectile Dysfunction , Hypertension , Humans , Male , Adult , Middle Aged , Aged , Antihypertensive Agents/therapeutic use , Erectile Dysfunction/epidemiology , Erectile Dysfunction/etiology , Cross-Sectional Studies , Tertiary Care Centers , Kenya/epidemiology , Hypertension/drug therapy , Hypertension/epidemiology , Hypertension/complications , Obesity/complications
3.
Pan Afr Med J ; 34: 38, 2019.
Article in English | MEDLINE | ID: mdl-31762905

ABSTRACT

INTRODUCTION: The prevalence of diabetes mellitus is rising at an alarming rate, calling for more insights into its pathogenetic mechanisms, and other factors involved in its progression. The prevalence of vitamin D deficiency is higher in diabetic compared to non-diabetic patients, and is associated with poor glycaemic control. This has not been documented among diabetic patients in Kenya. Aims: to determine the prevalence of hypovitaminosis D among type 2 diabetic patients at Kenyatta National Hospital in Nairobi, Kenya. METHODS: We recruited type 2 diabetic patients on follow-up at Kenyatta National Hospital. Measurements of height, weight and waist/hip ratios were taken. We drew 6mls of peripheral blood to determine vitamin D, zinc and HbA1c levels. RESULTS: A total of 151 participants were recruited, with 69.5% females and mean age of 58.2 years. Hypertension was found in 72.8% of the participants, and obesity in 37.7%. The mean HbA1c levels were 8.46%, and 62.9% had poor glycaemic control. The mean vitamin D level was 31.40ng/ml. Vitamin D deficiency and insufficiency was found in 38.4% and 21.9% of the participants respectively. We found a significant inverse correlation between vitamin D and glycaemic control (r = -0.09, p = 0.044) and vitamin D and BMI (r = - 0.145, p = 0.045). CONCLUSION: In this study population on long-term follow-up for diabetes, there was high prevalence of vitamin D deficiency. This forms a basis for further management of patients with poor glycaemic control. Further studies are needed to document the causal association between poor glycaemic control and vitamin D deficiency.


Subject(s)
Blood Glucose , Diabetes Mellitus, Type 2/epidemiology , Vitamin D Deficiency/epidemiology , Aged , Cross-Sectional Studies , Diabetes Mellitus, Type 2/pathology , Female , Follow-Up Studies , Glycated Hemoglobin/metabolism , Humans , Hypertension/epidemiology , Kenya , Male , Middle Aged , Obesity/epidemiology , Prevalence
4.
Diabetes Metab Syndr Obes ; 10: 141-149, 2017.
Article in English | MEDLINE | ID: mdl-28496345

ABSTRACT

BACKGROUND: Depression and diabetes mellitus are important comorbid conditions with serious health consequences. When depression and diabetes are comorbid, depression negatively affects self-management activities of diabetes with serious consequences. Relationship between treatment regimens of diabetes, the adequacy of glycemic control, and occurrence of comorbid depression is not known among our patients. PATIENTS AND METHODS: This was a cross-sectional descriptive study at the outpatient diabetes clinic of the Kenyatta National Hospital where 220 ambulatory patients with type 2 diabetes on follow-up were systematically sampled. Sociodemographic data and clinical information were documented. The Patient Health Questionnaire-9 (PHQ-9) was used to assess depression. Ethylenediaminetetraacetic acid-anticoagulated blood was used for glycated hemoglobin (HbA1C) assay on automated system, COBAS INTEGRA machine. RESULTS: Two hundred twenty patients with type 2 diabetes were enrolled. The prevalence of comorbid depression by PHQ-9 was 32.3% (95% confidence interval: 26.4%-38.6%). The majority, 69.5%, had poor glycemic control, HbA1C >7.0%, mean HbA1C was 8.9%±2.4%. Half, 50.4%, of the study subjects were on insulin-containing regimens. Over 8% (84.5%) of the participants with comorbid depression had poor glycemic control, which worsened with increasing severity of depression. There was significant correlation between comorbid depression and poor glycemic control, which is more consistent in the insulin-treated patients. However, patients on oral agents only, both with and without comorbid depression, were similar in their glycemic control. CONCLUSION: Among our type 2 diabetic population with comorbid depression, a large proportion had poor glycemic control, which worsened with increasing severity of depression. The insulin treatment increased the odds of comorbid depression and poor glycemic control in patients. It is justifiable to screen for comorbid depression in patients with type 2 diabetes who are in poor glycemic control, especially the insulin-treated, and then provide specific and appropriate interventions that are necessary to optimize their metabolic outcomes.

5.
BMC Endocr Disord ; 17(1): 7, 2017 Feb 06.
Article in English | MEDLINE | ID: mdl-28166768

ABSTRACT

BACKGROUND: Sleep disorders are common and associated with multiple metabolic and psychological derangements. Obstructive sleep apnoea (OSA) is among the most common sleep disorders and an inter-relationship between OSA, insulin resistance, obesity, type 2 diabetes (T2DM) and cardiovascular diseases has been established. Prevalence of sleep disorders in Kenyans, particularly in individuals with T2DM is unknown. We thus aimed to determine prevalence of poor quality of sleep (QOS) and high risk for OSA, among persons with T2DM and determine their associations with socio-demographic and anthropometric variables. METHODS: Utilising a Cross- Sectional Descriptive design, QOS and risk for OSA were determined in a randomly selected sample of patients with T2DM (cases) and an age and sex matched comparison group. The validated Pittsburgh Sleep Quality Index (PSQI) and Berlin Questionnaire (BQ) were used to measure QOS and risk for OSA respectively. Associations between poor QOS, high risk for OSA, and socio-demographic and anthropometric variables in cases were evaluated. RESULTS: From 245 randomly selected persons with T2DM attending outpatient clinics, aged over 18 years, 22 were excluded due to ineligibility thus 223 were included in the analysis; 53.8% were females, mean age was 56.8 (SD 12.2) years and mean BMI was 28.8 kg/m2 (SD 4.4). Among them, 119 (53%, CI 95% 46.5-60.2) had poor QOS and 99 (44% CI 95% 37.8-50.9) were at high risk for OSA. Among 112 individuals in comparison group, 33 (29.5%, CI 95% 20.9-38.3) had poor QOS and 9 (8%, CI 95% 3.3-13.4) had high risk for OSA. Cases had a significantly higher probability for poor QOS [OR 2.76 (95% CI 1.7-4.4))] and high risk for OSA [OR 9.1 (95% CI 4.4-19.0)]. Higher waist circumference was independently associated with a high risk for OSA in cases. CONCLUSIONS: We demonstrate a high burden of sleep disturbances in patients with T2DM. Our findings may have implications for clinicians to screen for sleep disorders when assessing patients with T2DM and warranting further attention by practitioners and researches in this field.


Subject(s)
Diabetes Mellitus, Type 2/complications , Sleep Apnea, Obstructive/epidemiology , Sleep , Adult , Aged , Cross-Sectional Studies , Female , Humans , Insulin Resistance , Kenya/epidemiology , Male , Middle Aged , Prevalence , Risk Factors , Sleep Apnea, Obstructive/complications , Tertiary Care Centers
6.
BMC Res Notes ; 9: 12, 2016 Jan 05.
Article in English | MEDLINE | ID: mdl-26732585

ABSTRACT

BACKGROUND: Peripheral public health facilities remain the most frequented by the majority of the population in Kenya; yet remain sub-optimally equipped and not optimized for non-communicable diseases care. DESIGN AND METHODOLOGY: We undertook a descriptive, cross sectional study among ambulatory type 2 diabetes mellitus clients, attending Kenyatta National Referral Hospital (KNH), and Thika District Hospital (TDH) in Central Kenya. Systematic random sampling was used. HbA1c was assessed for glycemic control and the following, as markers of quality of care: direct client costs, clinic appointment interval and frequency of self monitoring test, affordability and satisfaction with care. RESULTS: We enrolled 200 clients, (Kenyatta National Hospital 120; Thika District Hospital 80); Majority of the patients 66.5% were females, the mean age was 57.8 years; and 58% of the patients had basic primary education. 67.5% had diabetes for less than 10 years and 40% were on insulin therapy. The proportion (95% CI) with good glycemic was 17% (12.0-22.5 respectively) in the two facilities [Kenyatta National Hospital 18.3% (11.5-25.6); Thika District Hospital 15% (CI 7.4-23.7); P = 0.539]. However, in Thika District Hospital clients were more likely to have a clinic driven routine urinalysis and weight, they were also accorded shorter clinic appointment intervals; incurred half to three quarter lower direct costs, and reported greater affordability and satisfactions with care. CONCLUSION: In conclusion, we demonstrate that in Thika district hospital, glycemic control and diabetic care is suboptimal; but comparable to that of Kenyatta National Referral hospital. Opportunities for improvement of care abound at peripheral health facilities.


Subject(s)
Ambulatory Care/standards , Diabetes Mellitus, Type 2/complications , Hyperglycemia/complications , Quality of Health Care/standards , Referral and Consultation/standards , Tertiary Care Centers/standards , Demography , Diabetes Mellitus, Type 2/economics , Female , Glycated Hemoglobin/metabolism , Health Services Accessibility , Humans , Hyperglycemia/economics , Kenya , Male , Medication Adherence , Middle Aged , Multivariate Analysis , Patient Satisfaction
7.
BMC Public Health ; 14: 1177, 2014 Nov 18.
Article in English | MEDLINE | ID: mdl-25407513

ABSTRACT

BACKGROUND: Urbanisation has been described as a key driver of the evolving non-communicable disease (NCD) epidemic. In Africa, hypertension is the commonest cardiovascular problem. We determined the prevalence and risk factor correlates of hypertension in the largest Nairobi slum. METHODS: In 2010 we conducted a population-based household survey in Kibera, a large informal settlement in Nairobi City; utilising cluster sampling with probability proportional to size. Households were selected using a random walk method. The WHO instrument for stepwise surveillance (STEPS) of chronic disease risk factors was administered by trained medical assistants, who also recorded blood pressure (BP) and anthropometric measures. BP was recorded using a mercury sphygmomanometer utilising the American Heart Association guidelines. Hypertension was defined as per the 7th Report of the Joint National Committee or use of prescribed antihypertensive medication. Those with hypertension or with random capillary blood sugar (RCBS) >11.1 mmol/l had an 8 hours fasting venous blood sugar sample drawn. Age standardised prevalence was computed and multivariate analysis to assess associations. RESULTS: We screened 2200 and enrolled 2061 adults; 50.9% were males; mean age was 33.4 years and 87% had primary level education. The age-standardised prevalence of hypertension (95% CI) was 22.8% (20.7, 24.9). 20% (53/258) were aware of their hypertensive status; 59.3% had pre-hypertension; 80% reported high levels of physical activity and 52% were classified as harmful alcohol drinkers; 10% were current smokers and 5% had diabetes. Majority of males had normal BMI and waist circumference, whereas a third of females were obese or overweight and 40% had central obesity. Older age, higher general and central obesity were independently associated with hypertension and higher SBP and DBP readings. CONCLUSIONS: Our findings of high prevalence of hypertension, in association with excess body weight in this poor urban slum community, point to the need for greater awareness and implementation of primary preventive strategies.


Subject(s)
Hypertension/epidemiology , Adolescent , Adult , Aged , Aged, 80 and over , Female , Health Surveys , Humans , Hypertension/etiology , Kenya/epidemiology , Male , Middle Aged , Obesity/complications , Poverty Areas , Prevalence , Risk Factors , Smoking/adverse effects , Socioeconomic Factors , Surveys and Questionnaires
8.
BMC Public Health ; 13: 371, 2013 Apr 20.
Article in English | MEDLINE | ID: mdl-23601475

ABSTRACT

BACKGROUND: Urban slum populations in Africa continue to grow faster than national populations. Health strategies that focus on non-communicable diseases (NCD) in this segment of the population are generally lacking. We determined the prevalence of diabetes and associated cardiovascular disease (CVD) risk factors correlates in Kibera, Nairobi's largest slum. METHODS: We conducted a population-based household survey utilising cluster sampling with probability proportional to size. Households were selected using a random walk method and consenting residents aged 18 years and above were recruited. The WHO STEPS instrument was administered. A random capillary blood sugar (RCBS) was obtained; known persons with diabetes and subjects with a RCBS >11.1 had an 8 hours fasting blood sugar (FBS) drawn. Diabetes was defined as a RCBS of ≥ 11.1 mmol/l and a FBS of ≥ 7.0 mmol/l, or a prior diagnosis or receiving diabetes drug treatment. RESULTS: Out of 2061 enrolled; 50.9% were males, mean age was 33.4 years and 87% had a minimum of primary education. Only 10.6% had ever had a blood sugar measurement. Age adjusted prevalence of diabetes was 5.3% (95% CI 4.2-6.4) and prevalence increased with age peaking at 10.5% (95% CI 6.8-14.3%) in the 45-54 year age category. Diabetes mellitus (DM) correlates were: 13.1% smoking, 74.9% alcohol consumption, 75.7% high level of physical activity; 16.3% obese and 29% overweight with higher rates in women.Among persons with diabetes the odds of obesity, elevated waist circumference and hypertension were three, two and three fold respectively compared to those without diabetes. Cardiovascular risk factors among subjects with diabetes were high and mirrored that of the entire sample; however they had a significantly higher use of tobacco. CONCLUSIONS: This previously unstudied urban slum has a high prevalence of DM yet low screening rates. Key correlates include cigarette smoking and high alcohol consumption. However high levels of physical activity were also reported. Findings have important implications for NCD prevention and care. For this rapidly growing youthful urban slum population policy makers need to focus their attention on strategies that address not just communicable diseases but non communicable diseases as well.


Subject(s)
Diabetes Mellitus/epidemiology , Adolescent , Adult , Aged , Aged, 80 and over , Alcohol Drinking/epidemiology , Body Mass Index , Female , Humans , Hypertension/epidemiology , Kenya/epidemiology , Male , Middle Aged , Motor Activity , Overweight/epidemiology , Poverty Areas , Prevalence , Risk Factors , Smoking/epidemiology , Socioeconomic Factors , Urban Population , Young Adult
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