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<title>Internal Medicine</title>
<link href="https://repository.ju.edu.et//handle/123456789/179" rel="alternate"/>
<subtitle/>
<id>https://repository.ju.edu.et//handle/123456789/179</id>
<updated>2026-04-07T11:42:34Z</updated>
<dc:date>2026-04-07T11:42:34Z</dc:date>
<entry>
<title>Echocardiography and Electrocardiographic Findings among Hypertensive  Patients at the Follow-Up Clinic of Jimma Medical Center: A Cross-Sectional  Study</title>
<link href="https://repository.ju.edu.et//handle/123456789/10133" rel="alternate"/>
<author>
<name>Mekonnen Wakjira</name>
</author>
<author>
<name>Elsah Tegene</name>
</author>
<author>
<name>Amare Hailu</name>
</author>
<id>https://repository.ju.edu.et//handle/123456789/10133</id>
<updated>2026-02-25T07:33:52Z</updated>
<published>2025-04-11T00:00:00Z</published>
<summary type="text">Echocardiography and Electrocardiographic Findings among Hypertensive  Patients at the Follow-Up Clinic of Jimma Medical Center: A Cross-Sectional  Study
Mekonnen Wakjira; Elsah Tegene; Amare Hailu
Hypertension is one of the most common cardiovascular diseases worldwide and a major &#13;
contributor to structural and functional heart abnormalities. Early detection of cardiac &#13;
involvement in hypertensive patients is crucial to prevent complications. Echocardiography and &#13;
Electrocardiography are valuable tools for evaluating cardiac changes associated with &#13;
hypertension. &#13;
Objective: This study aimed to assess Echocardiography and Electrocardiographic findings &#13;
among hypertensive patients visiting chronic follow up at Jimma Medical Center, Jimma, &#13;
Ethiopia &#13;
Methodology: &#13;
A hospital-based cross-sectional study was conducted at Jimma Medical Center from &#13;
February10-March 20, 2025. The study was focused on hypertensive patients undergoing chronic &#13;
follow-up during the specified period. The inclusion of participants was determined through a &#13;
systematic random sampling technique. &#13;
Data Collection and Analysis: &#13;
Data collected by kobo toolbox was exported to excel and then, to IBM SPSS version 26 &#13;
software package for analysis. Both bivariate and multivariable logistic regression models was &#13;
employed. In the bivariate analysis, variables with a P-value less than 0.25 were considered &#13;
candidates for inclusion in the multivariable analysis. In the multivariable logistic regression &#13;
model, variables with a P-value less than 0.05 were taken as statistically significant. &#13;
Results: &#13;
All the 268 study participants had Electrocardiography (ECG) and Transthoracic &#13;
echocardiography. ECG evaluation showed high rates of Left Ventricular Hypertrophy, 35.4% &#13;
by Sokolow-Lyon criteria and 28.4% by Cornell voltage criteria. Left anterior fascicular block &#13;
was found in 23.5% of participants, and QTc is prolonged in 7.1% of hypertensive individuals. &#13;
TTE evaluation showed high rates of concentric LVH 39.2% and left ventricular internal &#13;
v &#13;
diastolic diameter(LVIDd) is enlarged in 11.2% participants. In multivariable logistic regression, &#13;
Age ≥50Yr ( AOR, 4 [95% CI, 1.76-9.05], P=0.001), DBP≥90mmHg( AOR, 4.3[95% CI, 2.0&#13;
9.1], P&lt;0.001), duration of hypertension≥10yrs( AOR, 2.42 [95% CI, 1.17-5.02], P=0.017), total &#13;
cholesterol≥240mg/dl( AOR, 7.2[95% CI, 1.5-36], P=0.01), and BMI 25-29Kg/m2( AOR, 4 &#13;
[95% CI, 1.7-8.7], P=0.001), were significantly associated with LVH on ECG and on TTE LVH &#13;
has significant association with Age ≥50yrs( AOR, 3.6[95% CI, 1.8-7.2], P&lt;0.001), &#13;
DBP≥90mmHg( AOR, 2.02 [95% CI, 1.1-3.97], P=0.023), and BMI 25-29 Kg/m2( AOR, 3.43 &#13;
[95% CI, 1.6-7.2], P=0.001),  and obesity( AOR, 9.4 [95% CI, 1.9-46.8], P=0.006).
</summary>
<dc:date>2025-04-11T00:00:00Z</dc:date>
</entry>
<entry>
<title>Optimization of Guideline directed Medical Therapy and associated factors, among  adult heart failure patients on follow up at Jimma University Medical Center   follow up clinic, Jimma, Southwest Ethiopia; a Cross-sectional Study.</title>
<link href="https://repository.ju.edu.et//handle/123456789/10131" rel="alternate"/>
<author>
<name>Kidus Tesfaye</name>
</author>
<author>
<name>Tadesse Dukessa</name>
</author>
<author>
<name>Elsah Tegene</name>
</author>
<author>
<name>Kedir Negesso</name>
</author>
<id>https://repository.ju.edu.et//handle/123456789/10131</id>
<updated>2026-02-25T07:22:52Z</updated>
<published>2024-04-11T00:00:00Z</published>
<summary type="text">Optimization of Guideline directed Medical Therapy and associated factors, among  adult heart failure patients on follow up at Jimma University Medical Center   follow up clinic, Jimma, Southwest Ethiopia; a Cross-sectional Study.
Kidus Tesfaye; Tadesse Dukessa; Elsah Tegene; Kedir Negesso
Heart failure (HF) poses a significant global health concern, with substantial morbidity, &#13;
mortality, and economic burden. Among heart failure patients, those with reduced ejection &#13;
fraction (HFrEF) constitute around 60%. Recent society guidelines recommend use of Guideline &#13;
medical therapy (GDMT) which include four group of pillar drugs at their optimal dose in order &#13;
to reduce not only hospitalization but also heart failure symptom and mortality. Despite this &#13;
recommendation the drugs are underutilized because of different factors. &#13;
Objective: To assess the magnitude of utilization of GDMT and associated factors among &#13;
patients with HFrEF at JUMC cardiac follow up clinic of Jimma University Medical Center. &#13;
Methods: A cross-sectional study was conducted on selected patients with HFrEF on follow up &#13;
between June 2023 and Sept 2023at ambulatory care clinic of Jimma University Medical Center, &#13;
Ethiopia. Data was collected through patient interview and review of medical records. Collected &#13;
data was first cleaned, edited and entered into a computer and analyzed using software program &#13;
SPSS Version 24. Adjusted Odds Ratio with 95% CI was used to measure strength of &#13;
association. A P-value of &lt;0.05 is considered statistically significant for associated factors.  &#13;
Result: The study’s findings indicate that only 12 patients (4.7%) received guideline-directed &#13;
medical therapy, and this achievement was substantially correlated with the diagnosis of &#13;
hypertension (AOR: 10.62, 95% CI: 1.14-98.37) and diabetes mellitus (AOR: 7.73, 95% CI: &#13;
3.85-19.86). Despite high prescription rates for ACEIs/ARBs 244(96.1%), beta-blockers (226 &#13;
patients, 85.97%), and MRAs 218(85.82%), the prescription of SGLT2 inhibitors was notably &#13;
infrequent 22(8.7%). Moreover, a relatively small percentage of patients achieved target &#13;
dosages, with just 76(29.9%) for ACEIs/ARBs, 32(12.6%) for MRAs, and 9(3.5%) for beta&#13;
blockers.  &#13;
The primary barrier to this was physician inertia, with a significant number of patients not &#13;
receiving dosage escalations without documented reasons: 129(76%) for ACEIs/ARBS, 109 &#13;
(49.8%) for beta-blockers, and 147(79%) for MRAs. SGLT2 inhibitors were not offered to 161 &#13;
patients (63.4%). Medication-related side effects or intolerance also hindered the achievement &#13;
of target dosages for 31(18%) of ACEIs/ARBs, 61(21.5%) for beta-blockers, and 25(13.4%) for &#13;
6 &#13;
MRAs. Furthermore, cost was cited as a barrier for 10 (5.7%) of ACEIs/ARBs, 61(21.5%) of &#13;
beta-blockers, and 14 (7.5%) of MRAs users. &#13;
Conclusion and recommendation: The study sheds light on a notable gap in the application of &#13;
guideline-directed medical therapy, with only a minority of patients reaching the advised target &#13;
doses. Given the underuse of SGLT2 inhibitors and the low rate of achieving target doses for &#13;
essential medications, it might be beneficial for healthcare systems to consider strategies that can &#13;
help to overcome physician inertia, which hinder the delivery of optimal patient care. &#13;
Furthermore, enhancing the availability and affordability of SGLT2 inhibitors may be &#13;
advantageous in the context of their prescription patterns.
</summary>
<dc:date>2024-04-11T00:00:00Z</dc:date>
</entry>
<entry>
<title>Prevalence of Dysglycemia and associated  factors in Jimma Town, SW Ethiopia:   A community based Cross-sectional study.</title>
<link href="https://repository.ju.edu.et//handle/123456789/10034" rel="alternate"/>
<author>
<name>Temeselew Zenebe</name>
</author>
<author>
<name>Ermias Habte</name>
</author>
<author>
<name>Hailu Merga</name>
</author>
<id>https://repository.ju.edu.et//handle/123456789/10034</id>
<updated>2025-11-05T12:27:08Z</updated>
<published>2017-09-07T00:00:00Z</published>
<summary type="text">Prevalence of Dysglycemia and associated  factors in Jimma Town, SW Ethiopia:   A community based Cross-sectional study.
Temeselew Zenebe; Ermias Habte; Hailu Merga
Background: Type 2 Diabetes, which accounts for ∼90–95% of those with diabetes, remains &#13;
largely undiagnosed and has long asymptomatic period before patients present with &#13;
complications.  Patients with type 2 diabetes are typically older than 40 years and frequently &#13;
obese.  Most frequently the diagnosis of type 2 diabetes is made after routine blood testing in &#13;
asymptomatic persons. ADA guideline recommends routine screening for adults older than 40 &#13;
years   and at earlier age in those with risk factors. &#13;
Objective: To assess the prevalence of Dysglycemia (T2DM and IFG) and associated factors for &#13;
Adults older than 40yrs living in Jimma Town, southwest Ethiopia. &#13;
Method: A cross-sectional study was conducted using WHO STEPWISE tool for surveillance of &#13;
NCDs.  Data was collected by face-to-face interview and measurement of Anthropometry, Blood &#13;
pressure and Fasting Blood sugar using pre-tested questionnaire and analyzed using SPSS 20. &#13;
Logistic regression was used to identify associated factors with Dysglycemia   and the result was &#13;
presented by text, tables and figures.  &#13;
Results: The overall prevalence of Dysglycemia is 18.6% (49/264)   among adults older than &#13;
40yrs.T2DM accounts for 5.7% (15/264) and IFG for 12.9% (34/264).  Physical inactivity [COR &#13;
=2.5, 95%CI (1.2, 5.36)], and waist circumference [COR=2.98, 95%CI (1.5, 5.9)] are positively &#13;
associated with dysglycemia. Presence of family history of DM [AOR=2.45, 95%CI (1.08, 5.52)] &#13;
, Being Overweight [AOR=3.8, 95%CI(1.84, 7.95)] and Obese [AOR=7.78, 95%CI(2.90, 20.91)] &#13;
are Independent predictors of dysglycemia.  &#13;
Conclusion:  In this study, there was high prevalence of Dysglycemia. Physical inactivity and &#13;
central obesity (Waist circumference) are positively associated with dysglycemia, while having &#13;
family history of DM, or Higher BMI (Overweight or Obese) are risk factors for dysglycemia.
</summary>
<dc:date>2017-09-07T00:00:00Z</dc:date>
</entry>
<entry>
<title>Prevalence of Dysglycemia and associated  factors in Jimma Town, SW Ethiopia:   A community based Cross-sectional study.</title>
<link href="https://repository.ju.edu.et//handle/123456789/10025" rel="alternate"/>
<author>
<name>Temeselew Zenebe</name>
</author>
<author>
<name>Ermias Habte</name>
</author>
<author>
<name>Hailu Merga</name>
</author>
<id>https://repository.ju.edu.et//handle/123456789/10025</id>
<updated>2025-11-03T08:22:35Z</updated>
<published>2017-09-07T00:00:00Z</published>
<summary type="text">Prevalence of Dysglycemia and associated  factors in Jimma Town, SW Ethiopia:   A community based Cross-sectional study.
Temeselew Zenebe; Ermias Habte; Hailu Merga
Background: Type 2 Diabetes, which accounts for ∼90–95% of those with diabetes, remains &#13;
largely undiagnosed and has long asymptomatic period before patients present with &#13;
complications.  Patients with type 2 diabetes are typically older than 40 years and frequently &#13;
obese.  Most frequently the diagnosis of type 2 diabetes is made after routine blood testing in &#13;
asymptomatic persons. ADA guideline recommends routine screening for adults older than 40 &#13;
years   and at earlier age in those with risk factors. &#13;
Objective: To assess the prevalence of Dysglycemia (T2DM and IFG) and associated factors for &#13;
Adults older than 40yrs living in Jimma Town, southwest Ethiopia. &#13;
Method: A cross-sectional study was conducted using WHO STEPWISE tool for surveillance of &#13;
NCDs.  Data was collected by face-to-face interview and measurement of Anthropometry, Blood &#13;
pressure and Fasting Blood sugar using pre-tested questionnaire and analyzed using SPSS 20. &#13;
Logistic regression was used to identify associated factors with Dysglycemia   and the result was &#13;
presented by text, tables and figures.  &#13;
Results: The overall prevalence of Dysglycemia is 18.6% (49/264)   among adults older than &#13;
40yrs.T2DM accounts for 5.7% (15/264) and IFG for 12.9% (34/264).  Physical inactivity [COR &#13;
=2.5, 95%CI (1.2, 5.36)], and waist circumference [COR=2.98, 95%CI (1.5, 5.9)] are positively &#13;
associated with dysglycemia. Presence of family history of DM [AOR=2.45, 95%CI (1.08, 5.52)] &#13;
, Being Overweight [AOR=3.8, 95%CI(1.84, 7.95)] and Obese [AOR=7.78, 95%CI(2.90, 20.91)] &#13;
are Independent predictors of dysglycemia.  &#13;
Conclusion:  In this study, there was high prevalence of Dysglycemia. Physical inactivity and &#13;
central obesity (Waist circumference) are positively associated with dysglycemia, while having &#13;
family history of DM, or Higher BMI (Overweight or Obese) are risk factors for dysglycemia.
</summary>
<dc:date>2017-09-07T00:00:00Z</dc:date>
</entry>
</feed>
