Literature DB >> 27354820

Atrial fibrillation among the black population in a Ugandan tertiary hospital.

Charles Lugero1, Davis Kibirige2, James Kayima1, Charles Kizza Mondo3, Jurgen Freers3.   

Abstract

BACKGROUND: Atrial fibrillation (AF) is the most common type of sustained cardiac arrhythmia in adults, accounting for one-third of hospitalizations due to arrhythmia and related complications worldwide. Previously, rheumatic heart disease was documented as the commonest cause of AF in sub-Saharan Africa. However, due to the prevailing epidemiological transition in sub-Saharan Africa, the risk factors and ensuing complications of AF have changed and are on the increase.
METHODS: This was a descriptive cross-sectional study involving 102 patients presenting with AF who were recruited from the cardiology unit of Mulago National Referral Hospital, Uganda, over 3 months. Sociodemographic, medical history, and clinical data were obtained.
RESULTS: The mean age of study participants was 52±21.3 years with a female predominance (58 [56.9%]). The commonest coexisting medical conditions were hypertension in 42% and rheumatic heart disease in 32% of the patients. The commonest echocardiographic abnormality was chamber dilation, noted in 76.8% of all patients. Heart failure was the most frequent complication encountered (50%) followed by left ventricular diastolic dysfunction and acute thromboembolic stroke documented in 19.6% and 12.8% of the study participants, respectively. Of the enrolled patients, ten (9.8%) died within 3 days of admission.
CONCLUSION: AF tends to occur at a younger age in Ugandan patients. The commonest underlying medical conditions among these patients were hypertension and rheumatic heart disease. Hence, all patients with hypertension and rheumatic heart disease should be meticulously screened for AF.

Entities:  

Keywords:  Uganda; atrial fibrillation; clinical profile; complications

Year:  2016        PMID: 27354820      PMCID: PMC4908944          DOI: 10.2147/IJGM.S100637

Source DB:  PubMed          Journal:  Int J Gen Med        ISSN: 1178-7074


Introduction

In developed countries, atrial fibrillation (AF) is the most common sustained cardiac arrhythmia with an exponential increase with advancing age.1 It is strongly associated with an increased risk of stroke, hospitalization, and mortality.2 With the existing epidemiological transition from communicable to noncommunicable diseases, AF is a growing public health problem in sub-Saharan Africa (SSA).3 Use of anticoagulants, accessibility and costs of monitoring, poor drug compliance, and nonadherence to existing treatment guidelines are key challenges in managing patients with AF in this region.4,5 Data derived from studies in SSA in comparison to those derived from the developed countries have revealed that majority of patients presenting with AF have very severe disease and are comparatively younger with a higher frequency of concomitant complications.6–10 In Uganda, there is no literature on the clinical profile, complications, and outcome of patients presenting with AF. This was the basis of performing this contemporary cross-sectional study to describe the clinical characteristics and complications of patients presenting with AF at the cardiology unit of Mulago National Referral and Teaching Hospital, Kampala, Uganda.

Study methods

This was a descriptive cross-sectional study performed at the cardiology unit of Mulago National Referral and Teaching hospital in Kampala, the capital city of Uganda. This is the largest national referral hospital, teaching and health care research facility in Uganda with a 1,600 bed capacity. Eligible patients presenting with AF to the cardiology unit, who were ≥13 years old, and had offered written informed consent or assent were consecutively recruited over a period of 3 months (April to June 2012) until the desired sample size was attained. Caregivers of patients <16 years old gave written consent and assent. Patients with atrial flutter and other rhythm disorders were excluded. AF was confirmed by a resting electrocardiography (ECG) done at the time of admission and interpreted by an experienced cardiologist. The desired sample size of a minimum of 95 patients was obtained using the modified Kish Leslie (1965) formula: N=Z2pq/e2, where N= required sample size, Z= standard normal value corresponding to the set level of confidence at 95% (1.96), P= estimated frequency of outcome factor in the population (the study used as a reference was by Karen Sliwa in South Africa where 56% of patients with AF had concomitant heart failure),8 q=1–P (0.44), and e= precision (0.1). After obtaining informed consent or assent, pretested questionnaires were used to collect the patients’ information on the sociodemographic characteristics, presenting symptoms, presence and type of underlying heart diseases, thyroid status, history of excessive alcohol intake, and drug history (anti-arrhythmic and anticoagulation therapy). All participants had baseline anthropometric measurements of weight and height for the calculation of body mass index (BMI). Standard procedures for measuring blood pressure were also done on all patients after a 30-minute rest using a manual Dekamet Accoson MK3 mercury sphygmomanometer machine. A two-dimensional Doppler transthoracic echocardiography (ECHO) was performed by an experienced cardiologist on all the patients with particular interest given to the left atrial size; left ventricular systolic and diastolic function; and the presence of valvular heart disease, hypertensive heart disease, and myocardial infarction. On ECHO, measurements of the inter-ventricular septum (IVS) or left ventricular posterior (LVP) wall >11 mm were considered to signify presence of left ventricular hypertrophy (LVH).11 Left ventricular function was defined as preserved when the left ventricular ejection fraction (LVEF) was ≤35% and depressed when LVEF <35%. Diagnosis of hypertensive heart disease required the presence of at least one of the following conditions: 1) LVH on echocardiography (septum and posterior wall thickness 11 mm) and/or systolic or diastolic dysfunction or 2) signs of LVH on the 12-lead resting ECG using Sokolow–Lyon criteria and persistent elevation of blood pressure (≥140/90 mmHg) despite antihypertensive drug therapy.11,12 Using the validated congestive heart failure-hypertension-age ≥75 years-diabetes-prior stroke/transient ischemic attack (CHADS2) score, stroke risk stratification was performed for all the enrolled patients.13 This index measures stroke risk by assigning one point each for congestive heart failure, hypertension, age ≥75 years, and diabetes mellitus, with two points added for a history of stroke or transient ischemic attack. According to the American College of Cardiology, American Heart Association and the European Society of Cardiology guidelines, a CHADS2 score of ≥2 is considered as a marker of high risk of stroke and an indication for oral anticoagulation (OAC) therapy. A CHADS2 score of 1 is considered as a marker of moderate risk and an indication for OAC or cardiac aspirin.14

Laboratory analysis

Blood was then drawn from all the participants to assess serum urea, creatinine, electrolytes, and thyroid function tests. The collected blood samples were centrifuged and the extracted plasma was stored at –20°C. The analysis was done in the clinical chemistry laboratory of Mulago hospital by two experienced laboratory technicians using a fully automated COBAS® Integra 400 (Roche Diagnostics, Hoffman-La Roche Ltd., Basel, Switzerland) machine.

Statistical analysis

All the data collected on the pretested data collection sheet were entered into Epidata and thereafter exported to Stata version 10 for statistical analysis. Patient characteristics were reported as frequency and percentage for categorical variables, mean and standard deviation (SD) for the normally distributed continuous variables, and median and interquartile range (IQR) for continuous variables that were not normally distributed. Chi-square tests or Fischer’s exact test, where appropriate, were used to compare the categorical variables. Only variables with a P-value of <0.05 were considered significant.

Ethical consideration

The study was approved by the Department of Internal Medicine, Makerere College of Health Sciences and Makerere University School of Medicine Research and Ethics Committee. All patients gave informed consent and assent prior to enrollment into the study.

Results

Sociodemographic, clinical, and laboratory characteristics of the patients

Sociodemographic characteristics of the study participants

Of the 102 patients enrolled, majority were females (58 [56.9%]). The overall mean age was 52±21.3 years and did not differ with sex. The youngest participant was 13 years and the oldest was 88 years old. Majority of the study participants were employed (52.9%) and had attained some level of education (85 [83.3%]) (Table 1).
Table 1

Sociodemographic characteristics of admitted patients presenting with AF

CharacteristicAll, n (%)Women (n=58), n (%)Men (n=44), n (%)Chi-square test P-value
Age median (IQR)50 (36–68)47 (36–67)55 (34–70)0.54
Education
 No education17 (16.7)11 (19)6 (13.6)0.327
 Primary23 (22.6)16 (27.6)7 (15.9)
 Secondary18 (17.6)10 (17.2)8 (18.2)
 Post-secondary44 (43.1)21 (36.2)23 (52.3)
Occupation
 No employment48 (47.1)33 (56.9)15 (34.1)0.062
 Self-employed26 (25.5)11 (19)15 (34.1)
 Skilled employed28 (27.4)14 (24.1)14 (31.8)
Religion
 Muslim21 (20.6)9 (15.5)12 (27.3)0.332
 Christian79 (77.5)48 (82.8)31 (70.4)
 Other2 (1.9)1 (1.7)1 (2.3)
Residence
 Urban47 (46.1)27 (46.5)20 (45.4)0.912
 Rural55 (53.9)31 (53.5)24 (54.6)

Abbreviations: IQR, interquartile range; AF, atrial fibrillation.

Clinical features of the study participants

Majority of the participants presented with palpitations (86 [84%]) and dyspnea (70 [68.6%]). There was no difference in the presenting symptoms according to sex. Approximately, 57% of the patients had a normal BMI, defined as 18.5–25 kg/m2. Obesity, overweight, and underweight were documented in 9.8%, 24.5%, and 8.8% of the participants, respectively.

Laboratory characteristics of the study participants

Thyroid dysfunction among the study participants was very infrequent. Overt and subclinical hyperthyroidism and hypothyroidism were both documented in 2.9% of the participants. There was no significant difference noted in regards to sex. Renal derangements were also uncommon in this study population. Only 31.7% and 37.6% of the participants had elevated serum creatinine and blood urea nitrogen (BUN) levels on assessment, respectively. Hypocalcemia (uncorrected for serum albumin levels) was very frequent, occurring in 51 (50.5%) participants (Table 2).
Table 2

Laboratory findings of the study participants

Laboratory investigationsAll, n (%)Women (n=58), N (%)Men (n=44), N (%)Chi-square test P-value
TSH
 Hyperthyroidism3 (2.94)3 (5.17)0 (0.00)0.227
 Normal range96 (94.12)54 (93.10)43 (98.45)
 Hypothyroidism3 (2.94)1 (1.72)2 (4.55)
BUN
 Low7 (6.93)4 (6.90)3 (6.98)0.266
 Normal56 (55.45)36 (62.07)20 (46.51)
 High38 (37.62)18 (31.03)20 (46.51)
Serum creatinine
 Low2 (1.98)1 (1.72)1 (2.33)0.807
 Normal67 (66.3)40 (68.97)27 (62.79)
 High32 (31.7)17 (29.3)15 (34.88)
Potassium
 Low5 (4.95)2 (3.45)3 (6.98)0.435
 Normal91 (90.1)52 (89.66)39 (90.7)
 High5 (4.95)4 (6.9)1 (2.3)
Calcium
 Low51 (50.5)31 (53.45)20 (46.5)0.507
 Normal49 (48.5)26 (44.83)23 (53.5)
 High1 (1.0)1 (1.72)0 (00)

Abbreviations: TSH, thyroid stimulating hormone; BUN, blood urea nitrogen.

Underlying medical conditions associated with AF

The commonest underlying medical condition in the study participants was hypertension, documented in 43 (42.2%) participants. Rheumatic heart disease, diabetes mellitus, and congenital heart diseases were noted in 32.4%, 9.8%, and 5.9% of the study participants, respectively. A significant proportion of the participants (n=79 [77.4%]) had at least one cardiac condition combined. The documented combined cardiac conditions included hypertensive heart disease, congenital heart diseases, myocardial infarction, and rheumatic heart disease, and they were more prevalent in females compared to males (86.2% vs 65.9%, P=0.015) (Table 3).
Table 3

Underlying medical conditions associated with atrial fibrillation

Underlying conditionsAll, n (%)Women (n=58), N (%)Men (n=44) N (%)Chi-square test P-value
MI
 Yes10 (9.8)4 (6.9)6 (13.6)0.257
 No92 (90.2)54 (93.1)38 (86.4)
Congenital HD
 Yes6 (5.9)2 (3.4)4 (9.1)0.23
 No96 (94.1)56 (96.6)40 (90.9)
RHD
 Yes33 (32.4)26 (44.8)7 (15.9)0.002*
 No69 (67.6)32 (55.2)37 (84.1)
Diabetes mellitus
 Yes10 (9.8)4 (6.9)6 (13.6)0.257
 No92 (90.2)54 (93.1)38 (86.4)
Heart diseases (MI/HT/CHD/RHD)
 Yes79 (77.4)50 (86.2)29 (65.9)0.015*
 No23 (22.6)8 (13.8)15 (34.1)
History of alcohol
 Yes16 (15.7)6 (10.3)10 (22.7)0.089
 No86 (84.3)52 (89.7)34 (77.3)
History of smoking
 Yes4 (4.0)0 (0.00)4 (9.1)0.019*
 No98 (96.0)58 (100.0)40 (90.9)
Lung disease
 Yes2 (2.0)0 (0.00)2 (4.6)0.101
 No100 (98.0)58 (100.00)42 (95.4)
Thyroid disease
 Yes5 (4.9)3 (5.2)2 (4.6)0.885
 No97 (95.1)55 (94.8)42 (95.4)
Renal disease
 Yes2 (2.0)0 (0.00)2 (4.6)0.101
 No100 (98.0)58 (100.0)42 (95.4)
Heart failure
 Yes51 (50.0)30 (51.7)21 (47.7)0.689
 No51 (50.0)28 (48.3)23 (52.3)
Hypertension
 Yes43 (42.2)24 (41.4)19 (43.2)0.855
 No59 (57.8)34 (58.6)25 (56.8)

Note:

P-value is significant (<0.05).

Abbreviations: MI, myocardial infarction; HD, heart disease; RHD, rheumatic heart disease; CHD, congenital heart disease; HT, hypertension.

Five (4.9%) patients presented with “lone” AF (ie, no other diagnoses or evidence of underlying cardiac dysfunction). These were mostly males (64.7%) and were younger with a mean age of 46.1±18.7 years. In terms of ventricular response, over 86% of patients had uncontrolled AF (ventricular rate >90 beats per min [bpm]) and this was equally distributed between the males and females studied. Of the four patients with a heart rate <50 bpm, two had sick sinus syndrome.

Echocardiographic findings of the study participants

An ECHO examination was done in all the participants. The commonest abnormality was chamber dilation (dilation of ≥1 chambers) documented in 76.8% of all patients. Preserved left ventricular systolic function and diastolic dysfunction were noted in 93 (91.2%) and 27 (26.5%) patients, respectively. Other ECHO findings in the study participants were rheumatic heart disease in 35 (34.3%), mitral stenosis in 33 (32.3%), dilated cardiomyopathy in 14 (13.7%), ischemic heart disease in eleven (10.8%), and LVH in 35 (34.3%) patients. Both rheumatic heart disease and mitral stenosis were more prevalent in female participants compared to male participants and this finding was statistically significant (48.3% vs 15.9%, P=0.001 and 46.6% vs 13.6%, P<0.001, respectively) (Table 4).
Table 4

Echocardiographic findings of the study participants

Echo diagnosisAll, n (%)Women (n=58) N (%)Men (n=44) N (%)Chi-square test P-value
LVH
 Yes35 (34.3)21 (36.2)14 (31.8)0.644
 No67 (65.7)37 (63.8)30 (68.2)
RHD
 Yes35 (34.3)28 (48.3)7 (15.9)0.001*
 No67 (65.7)30 (51.7)37 (84.1)
MS
 Yes33 (32.3)27 (46.6)6 (13.6)<0.005*
 No69 (67.7)31 (53.4)38 (86.4)
IHD
 Yes11 (10.8)5 (8.6)6 (13.6)0.419
 No91 (89.2)53 (91.4)38 (86.4)
DCM
 Yes14 (13.7)6 (10.9)8 (18.6)0.280
 No84 (82.4)49 (89.1)35 (81.4)
EF
 <357 (6.9)4 (6.9)3 (7.1)0.962
 ≥3593 (91.2)54 (93.1)39 (92.9)
E/A
 <0.727 (26.5)16 (27.6)11 (25.0)0.769
 ≥0.775 (73.5)42 (72.4)33 (75.0)

Note:

P-value is significant (<0.05).

Abbreviations: LVH, left ventricular hypertrophy; RHD, rheumatic heart disease; MS, mitral stenosis; IHD, ischemic heart disease; DCM, dilated cardiomyopathy; EF, ejection fraction; E/A, ratio of the early (E) to late (A) ventricular filling velocities on echocardiography.

Complications attributable to AF

Heart failure was the commonest complications encountered among the study participants (51 [50%]). Acute thromboembolic stroke and left ventricular systolic and diastolic dysfunction were documented in 13 (12.8%), 7 (6.9%), and 20 (19.6%) patients, respectively. Forty one (40.2%) patients had a history of readmission due to AF. Of the enrolled patients, ten (9.8%) died within 3 days following admission (Table 5).
Table 5

Complications of patients with AF admitted at Mulago Hospital medical wards

ComplicationTotal, n (%)Women n (%)Men n (%)Chi-square test P-value
Rehospitalization41 (40.2)21 (36.2)20 (45.5)0.3459
Stroke
 Yes13 (12.8)7 (12.1)6 (13.6)0.814
 No89 (87.2)51 (87.9)38 (86.4)
Heart failure
 Yes51 (50.0)30 (51.7)21 (47.7)0.689
 No51 (50.0)28 (48.3)23 (52.3)
Poor quality of life
 Grade 11 (0.99)1 (1.72)0 (0.00)0.093
 Grade 219 (18.81)10 (17.24)9 (20.93)
 Grade 341 (40.59)29 (50.00)12 (27.91)
 Grade 440 (39.60)18 (31.03)22 (51.16)
LV dysfunction
Based on EF
 Yes7 (7.0)4 (6.9)3 (7.1)0.962
 No93 (93.0)54 (93.1)39 (92.9)
LV dysfunction
Based on E/A ratio
 Yes20 (19.6)12 (21.1)8 (19.1)0.806
 No79 (79.8)45 (78.9)34 (80.9)
LV dysfunction (combined EF and E/A)
 Yes20 (19.6)12 (21.1)8 (19.1)0.806
 No79 (79.8)45 (78.9)34 (80.9)
Death
 Yes10 (9.8)5 (8.6)5 (11.4)0.645
 No92 (90.2)53 (91.4)39 (88.6)

Abbreviations: AF, atrial fibrillation; LV, left ventricular; EF, ejection fraction; E/A, ratio of the early (E) to late (A) ventricular filling velocities on echocardiography.

Stroke risk stratification

We used the recently validated CHADS2 score to stratify patients for stroke risk. Out of 102 participants, the majority had moderate risk (58 [56.9%]). High stroke risk was noted in 18 (17.7%) patients while 26 (25.5%) had a low risk. A secondary analysis of the 13 patients who had stroke, using the CHADS2 stroke risk stratification, showed that ten (76.9%) patients had a high stroke risk while three (23.1%) had a moderate risk.

Discussion

To our knowledge, this is the first study to describe the clinical profile and complications of patients presenting with AF in Uganda, a country with a rising burden of cardiovascular diseases. In regards to the mean age of the study participants, the findings of our descriptive survey were similar to what was noted in studies done in Cote d’Ivoire, South Africa, and India.7,8,15 The mean age of the study participants was comparable to what was documented in the above studies (52±21.3 years), reflecting a younger patient population with AF in SSA. Studies from Cameroon and Kenya documented a higher mean age of 65.8±13 years and 67.8±17.1 years, respectively.9,10 A female predominance was noted in our study (56.9%) similar to studies performed in South Africa (61%), Cameroon (56.4%), and India (55.5%).8, 9,15 Studies from Cote d’Ivoire and Kenya had more males presenting with AF (56% and 52%, respectively).7,10 This female predominance in our study could probably be explained by the sex-based differences in underlying etiologies of AF in our study. Rheumatic heart disease and mitral stenosis were more prevalent among female patients.

Clinical presentations of the study participants

Palpitations, dyspnea, and chest pain were the most prominent symptoms reported, occurring in 84.3%, 68.6%, and 49% of the patients, respectively. A high frequency of symptoms related to a rapid heart rate, ie palpitations, syncope, dizziness, and fatigue (32%), was reported in the study participants in Kenya.10 Among the 158 (92%) patients with AF who reported with symptoms of heart failure in the study done in Cameroon, dyspnea was the most prevalent occurring in 72.1% of the patients.9 Other symptoms were palpitations in 46.5% and malaise in 20.9% of the patients. Dyspnea was also the commonest reported symptom in the study done in Cote d’Ivoire.7 The most prominent documented clinical signs in the study participants (50%) were congruent with heart failure. This noted high frequency of heart failure is similar to what was documented in Cote d’Ivoire (62.6%), South Africa (56%), and Cameroon (49.4%).7–9 Studies from Kenya and People’s Republic of China on patients presenting with AF reported relatively low frequency of heart failure of 38% and 33.1%, respectively.10,16

Coexisting medical conditions or risk factors

Hypertension in our study was the most prevalent coexisting medical condition, noted in 43 (42%) study participants. This is consistent with findings from majority of the recent studies on AF in developing countries that have also documented hypertension as the most prevalent coexisting medical condition. This is in contrast to the past notion that rheumatic heart disease is the commonest.7,9,10,16–19 However, rheumatic heart disease was noted to be the commonest coexisting medical condition in a similar study done in North India, reported in 61.3% of the patients.15 Only 14.6% of the patients were documented to have hypertension with 10.2% having hypertensive heart disease on ECHO. With the exception of heart failure in the study from South Africa, a significant proportion of patients with AF had rheumatic heart disease (21%) compared to those with hypertensive heart disease (19%).8 Other coexisting medical conditions reported among the study participants in our study were rheumatic heart failure (32%), diabetes mellitus, and myocardial infarction (both in 9.8% of the patients). Lung disease of any form and preexisting thyroid dysfunction were very infrequent, reported in only 2% and 4.9% of the patients, respectively. Thyroid dysfunction has been noted to be very uncommon among patients with AF in most studies done in developing countries. Studies reported from Kenya, People’s Republic of China, Pakistan, and Brazil have reported prevalence of 3.7%, 2.5%, 7.5%, and 14.3%, respectively.10,16,20,21 It is worth noting that coronary artery disease is also very infrequent among African patients presenting with AF. Prevalence of 6.5%, 6.4%, 19%, and 6.6% have been documented in studies done in South Africa, Cameroon, Kenya, and Ethiopia, respectively.8–10,19 The probable explanations are lower mean total cholesterol or low-density lipoprotein cholesterol concentrations and lower frequencies of smoking among the African patients compared to their contemporaries in developed countries. We did not assess lipid profiles in our study. Only 3.9% of the study participants gave a history of smoking and all were male. The intimate relationship between hypertension and AF has been extensively described in medical literature. Long standing uncontrolled hypertension is often associated with left ventricular diastolic and systolic dysfunction. This subsequently results in increased left atrial pressure and left atrial enlargement. The latter is a precursor of AF. Hypertension is also associated with renin–angiotensin–aldosterone system activation which increases oxidative stress and inflammation. This collectively augments atrial fibrosis and cellular hypertrophy increasing the risk of AF.22

Complications attributed to AF

Regarding complications associated with AF, heart failure of any form (50%) and recurrent hospital admissions (40.2%) were the most prevalent. Thromboembolic stroke was noted in 13 (12.8%) patients. Stroke risk stratification of these patients using the CHADS score revealed that majority (10 [76.9%]) had a high stroke risk. This high frequency of thromboembolic stroke was similar to what was documented in the Cameroonian (17.4%), Chinese (17.5%), and Ethiopian (15.4%) studies.9,16,19 This magnitude of stroke among patients with AF is outstandingly higher than what has been documented in the developed countries. In one prospective study reported from Geneva, Switzerland, stroke was prevalent in only 2.6% of the patients.23 This disparity could be explained by the probable suboptimal use of oral anticoagulant therapy among patients with AF in the developing countries.5,16,24 This calls for policies and guidelines aimed at improving treatment of AF in these countries. In our study, ten (9.8%) patients with AF died within 3 days of admission. Although no postmortem examinations were done, we presume the causes of death were of cardiovascular nature because all the patients who died had severe heart failure (New York Heart Failure class III and IV). Another probable documented cause of death was severe hypostatic pneumonia. A high mortality rate in patients with AF has also been revealed in the Cameroonian study compared to low rates in European countries (<4%), Switzerland (2.6%), and France (ALPHA study in France [1.8%]).9,23,25 This signifies that AF in African patients is more severe and is associated with more adverse outcomes. This high rate of mortality in Africa could also be explained by the suboptimal use of oral anticoagulant therapy due to economic reasons, difficulties in performing international normalized ratio (INR) to assess adequate anticoagulation, and presence of uncontrolled hypertension, a documented relative contraindication. Other factors that could explain the higher rate of mortality are the higher prevalence of rheumatic heart disease and increased severity of comorbidities like uncontrolled hypertension. In a study done in Cameroon, out of 88 patients who were followed up for a mean period of 318±124 days, 26 (29.5%) died. This proportion was higher than what was registered in our study, probably because of our shorter period of assessment for mortality (3 days vs 318±124 days). A low rate of use of oral anticoagulant therapy was noted in the study from Cameroon. Only three (11.5%) of the 26 patients who died were on oral anticoagulant therapy.9 In the Kenyan study, despite 64.7% of patients having a CHADS score ≥2, 21.2% of these patients did not receive any form of anticoagulant therapy.10 We however noted a moderately good prescription rate of oral anticoagulant therapy in our study. Approximately, 53% of patients with at least one stroke risk factor received therapy. These rates of use of the recommended therapy are, nevertheless, still lower than what is reported from studies from some developed countries (88% in Switzerland).23 Combined left ventricular diastolic and systolic dysfunction was also frequent in the study participants, noted in 20 (19.6%) cases. Diastolic and systolic dysfunction in isolation occurred in 19.6% and 6.9% of the patients, respectively. Similar studies from South Africa, Cameroon, and People’s Republic of China have reported a higher proportion of patients with systolic dysfunction (22.7%, 30%, and 35% respectively) compared to our study.8,9,16

Study limitations

This cross-sectional study was designed to assess the clinical characteristics and complications of patients with AF with out a follow-up component; hence, we were unable to classify AF into paroxysmal, persistent, and permanent AF. It was difficult to verify the precise cause of death because no autopsy studies were done; therefore, causes of death were determined based only on clinical grounds. Due to economic constraints, we did not perform neuroimaging to document the type of stroke and infarct size. Because Mulago hospital is the only national referral hospital in Uganda where a full-scale cardiology approach is practiced, a selection bias was certainly present because only very sick patients are referred to a cardiologist. This study, hence, excluded those suffering from milder forms of cardiovascular disease or asymptomatic AF in the community as well as noncardiac cases in the hospital. This is particularly relevant when interpreting the estimated rate of case presentations. We used the CHADS score which is less sensitive compared to the congestive heart failure-hypertension-age ≥75 years-diabetes mellitus-prior stroke or transient ischemic attack-vascular disease-age of 65–74 years and sex category (CHADS2VASC) score for the lower risk group.

Conclusion

In this study, we have demonstrated that the clinical presentation of Ugandan patients with AF is more common, severe (more prevalent advanced congestive heart failure, palpitations, recurrent hospital admissions, and incidence of thromboembolic stroke), and occurs at a younger age than in developed countries. It also illustrates the rising prevalence of noncommunicable diseases like hypertension as the commonest risk factor of AF with an already existing high prevalence of rheumatic heart disease, hence a dual epidemic. AF in Ugandan patients is a predictive factor for both severe stroke and early mortality.

Recommendations

A meticulous cardiac evaluation for AF should be executed especially in patients with hypertension, rheumatic heart disease, and diabetes mellitus in Uganda. Local guidelines on management of AF should be developed to improve the outcome in patients with AF and reduce adverse outcomes.
  21 in total

1.  [Prevalence of atrial fibrillation among patients under observation by an outpatient clinic].

Authors:  N A Bulanova; L L Stazhadze; L A Alekseeva; E V Dubrovina; E V Dorofeeva
Journal:  Kardiologiia       Date:  2011       Impact factor: 0.395

2.  Atrial fibrillation in Africa: clinical characteristics, prognosis, and adherence to guidelines in Cameroon.

Authors:  Marie Ntep-Gweth; Marc Zimmermann; Alexandre Meiltz; Samuel Kingue; Pierre Ndobo; Philip Urban; Antoine Bloch
Journal:  Europace       Date:  2010-02-23       Impact factor: 5.214

Review 3.  AHA/ACCF/HRS recommendations for the standardization and interpretation of the electrocardiogram: part V: electrocardiogram changes associated with cardiac chamber hypertrophy: a scientific statement from the American Heart Association Electrocardiography and Arrhythmias Committee, Council on Clinical Cardiology; the American College of Cardiology Foundation; and the Heart Rhythm Society: endorsed by the International Society for Computerized Electrocardiology.

Authors:  E William Hancock; Barbara J Deal; David M Mirvis; Peter Okin; Paul Kligfield; Leonard S Gettes; James J Bailey; Rory Childers; Anton Gorgels; Mark Josephson; Jan A Kors; Peter Macfarlane; Jay W Mason; Olle Pahlm; Pentti M Rautaharju; Borys Surawicz; Gerard van Herpen; Galen S Wagner; Hein Wellens
Journal:  Circulation       Date:  2009-02-19       Impact factor: 29.690

4.  [Atrial fibrillation: epidemiological data from the Cardiology Institute in Abidjan, Côte d'Ivoire].

Authors:  I Coulibaly; J B Anzouan-Kacou; Kouao C Konin; S C Kouadio; R Abouo-N'Dori
Journal:  Med Trop (Mars)       Date:  2010-08

5.  Validation of clinical classification schemes for predicting stroke: results from the National Registry of Atrial Fibrillation.

Authors:  B F Gage; A D Waterman; W Shannon; M Boechler; M W Rich; M J Radford
Journal:  JAMA       Date:  2001-06-13       Impact factor: 56.272

6.  Atrial fibrillation management by practice cardiologists: a prospective survey on the adherence to guidelines in the real world.

Authors:  Alexandre Meiltz; Marc Zimmermann; Philip Urban; Antoine Bloch
Journal:  Europace       Date:  2008-04-10       Impact factor: 5.214

7.  [Chronic atrial fibrillation in the elderly].

Authors:  E T De Carvalho Filho; S T Miotta; A T Alves; J A Curiati; Y M De Alencar
Journal:  Arq Bras Cardiol       Date:  1991-08       Impact factor: 2.000

8.  [Atrial fibrillation, frequency, etiologic factors, evolution and treatment in a cardiology department in Dakar, Senegal].

Authors:  Alassane Mbaye; Soulemane Pessinaba; Malick Bodian; Bamba Ndiaye Mouhamadou; Fatou Mbaye; Adama Kane; Valentin Yaméogo Nobila; Maboury Diao; Abdoul Kane
Journal:  Pan Afr Med J       Date:  2010-08-25

Review 9.  Echocardiography-based left ventricular mass estimation. How should we define hypertrophy?

Authors:  Murilo Foppa; Bruce B Duncan; Luis E P Rohde
Journal:  Cardiovasc Ultrasound       Date:  2005-06-17       Impact factor: 2.062

10.  Clinical characteristics and outcomes of atrial fibrillation and flutter at the Aga Khan University Hospital, Nairobi.

Authors:  Jay Shavadia; Gerald Yonga; Sitna Mwanzi; Ashna Jinah; Abednego Moriasi; Harun Otieno
Journal:  Cardiovasc J Afr       Date:  2013-03       Impact factor: 1.167

View more
  4 in total

1.  Access to medicines and diagnostic tests integral in the management of diabetes mellitus and cardiovascular diseases in Uganda: insights from the ACCODAD study.

Authors:  Davis Kibirige; David Atuhe; Leaticia Kampiire; Daniel Ssekikubo Kiggundu; Pamela Donggo; Juliet Nabbaale; Raymond Mbayo Mwebaze; Robert Kalyesubula; William Lumu
Journal:  Int J Equity Health       Date:  2017-08-24

2.  Comprehensive Analysis of Pertinent Genes and Pathways in Atrial Fibrillation.

Authors:  Yanzhe Wang; Wenjuan Cai; Liya Gu; Xuefeng Ji; Qiusheng Shen
Journal:  Comput Math Methods Med       Date:  2021-12-31       Impact factor: 2.238

3.  Appropriate use of anti-thrombotic therapy in patients with atrial fibrillation at single-center experience, Northwest Ethiopia.

Authors:  Ermiyas Endewunet; Abilo Tadesse; Aynishet Adane; Mohamed Abdulkadir
Journal:  BMC Cardiovasc Disord       Date:  2020-08-17       Impact factor: 2.298

4.  A Systematic Review of the Spectrum of Cardiac Arrhythmias in Sub-Saharan Africa.

Authors:  Matthew F Yuyun; Aimé Bonny; G André Ng; Karen Sliwa; Andre Pascal Kengne; Ashley Chin; Ana Olga Mocumbi; Marcus Ngantcha; Olujimi A Ajijola; Gene Bukhman
Journal:  Glob Heart       Date:  2020-05-08
  4 in total

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