| Title |
Angiotensin-Converting Enzyme Inhibitor Dose Optimization and Its Associated Factors at Felege Hiwot Comprehensive Specialized Hospital, Bahir Dar, Ethiopia
|
|---|---|
| Published in |
Vascular Health and Risk Management, July 2022
|
| DOI | 10.2147/vhrm.s363051 |
| Pubmed ID | |
| Authors |
Abebech Tewabe Gelaye, Mohammed Assen Seid, Lemlem Daniel Baffa |
| Abstract |
Angiotensin-converting enzyme inhibitors dose optimizations (ACEIs) are essential to boost the treatment outcome in heart failure patients (HF) with reduced ejection fraction. Therefore, the main purpose of this study was to evaluate dose optimization and associated factors of ACEIs among HF patients. An institutional-based retrospective study was conducted on 256 study participants from May 20 to August 30, 2020 in ambulatory care clinic at Felege Hiwot Comprehensive Specialized Hospital. A systematic random sampling method was carried out to select study participants. Data were collected from the patient interview and the review of medical records. Epidata and SPSS version 22 were used for data entry and analysis. A bivariate logistic regression analysis was done to determine the association of independent variables with a dose optimization of ACEIs. The mean age of the subjects in the study was 53.82 years with a standard deviation (SD) of 17.067 and more than half of (60.9%) the patients were unable to read and write. Among participants who were receiving ACEIs, only 30.6% were taking an optimal dose. Age ≥65 years (AOR 5.04 (2.81-12.56)) and a dose of furosemide ≥40 mg (AOR, 2.62 (1.28-16.74)) were significantly associated with the suboptimal dose of ACEIs. Only one-third of patients received the optimum dose of ACEIs. Older age and dose of furosemide greater >40 mg were significantly associated with suboptimal dosing of ACEIs. Therefore, more attention must be given to older patients with HF in order to optimize the dose of ACEIs administered. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 1 | 13% |
| Student > Ph. D. Student | 1 | 13% |
| Student > Bachelor | 1 | 13% |
| Unknown | 5 | 63% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 13% |
| Biochemistry, Genetics and Molecular Biology | 1 | 13% |
| Medicine and Dentistry | 1 | 13% |
| Unknown | 5 | 63% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 July 2022.
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#22,774,430
of 25,392,582 outputs
Outputs from Vascular Health and Risk Management
#747
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#372,559
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Outputs of similar age from Vascular Health and Risk Management
#14
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