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Original Article
10 (
1
); 46-53
doi:
10.25259/JCCC_51_2025

Prescribing Pattern of Cardiovascular Drugs and Quality of Life in Myocardial Infarction Patients: An American Heart Association-based Evaluation

Department of Pharmacy Practice, Karpagam Academy of Higher Education, Coimbatore, Tamil Nadu, India.
Department of Cardiology, Karpagam Faculty of Medical Sciences and Research, Coimbatore, Tamil Nadu, India.

*Corresponding author: Sruthi Saravanan, Department of Pharmacy Practice, Karpagam Academy of Higher Education, Coimbatore, Tamil Nadu, India. drsruthi27@gmail.com

Licence
This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-Share Alike 4.0 License, which allows others to remix, transform, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.

How to cite this article: Hemalatha S, Saravanan S, Sangeetha B, Kumar PP, Priyadharshini G, Luxcember RR. Prescribing Pattern of Cardiovascular Drugs and Quality of Life in Myocardial Infarction Patients: An American Heart Association-based Evaluation. J Card Crit Care TSS. 2026;10:46-53. doi: 10.25259/JCCC_51_2025

Abstract

Objectives:

Despite the extensive use of guideline-directed medical therapy for myocardial infarction (MI), the prescribing pattern tends to stray from the protocol due to various factors. A plethora of studies have focused on assessing the efficacy of individual medications to improve the outcome, research on examining prescribing patterns, the adherence of the latter with the standard American Heart Association (AHA) guidelines, and its impact on health-related quality of life remains insufficient. MI is commonly referred to as a heart attack which occurs due to ischemia to the heart muscles and it accounts for 17 million deaths every year. Our study aims to bridge this gap, optimize therapeutic strategy, and also enhance patient-centered care.

Material and Methods:

A prospective observational study was conducted in the Department of Cardiology at Karpagam Faculty of Science and Research in Coimbatore, Tamil Nadu. This study included myocardial infarction patients for a period of 6 months. Demographic and clinical data were collected using structured case sheets and the Euro Qol (EQ)-5D-3L questionnaire.

Results:

A total of 140 MI patients were enrolled in the study, with a clear male predominance (68.13%) and the majority aged between 50 and 70 years. Hypertension (36.45%) and diabetes mellitus (24.34%) were the most commonly observed comorbidities. On analyzing the prescribing pattern of cardiovascular drugs used in Myocardial Infarction patients which are considered the core cardiovascular therapies. Antiplatelets such as aspirin (100%) and ticagrelor (83.1%) were most commonly prescribed. Heparin (84.1%) was the most predominant anticoagulant and statins such as rosuvastatin (11.9%) and atorvastatin (4.5%) were frequently used. Nitroglycerine trinitrate (13.3%) and cilnidipine (12.6%) were the commonly prescribed antihypertensives. On comparing the prescribing pattern with standard AHA guidelines, the core cardiovascular therapy showed good adherence toward the guidelines. Quality of life assessment using the EQ-5D-3L questionnaire indicates a significant association of antiplatelets (P = 0.000), anticoagulants (P = 0.035), and statins (P = 0.018) with various health domains, whereas antihypertensives did not demonstrate a significant correlation (P = 0.734).

Conclusion:

This study demonstrates that prescribing patterns in MI patients showed good adherence toward the standard AHA guidelines. Comparison of prescribing patterns with quality of life revealed a significant correlation for antiplatelets, anticoagulants, and statins, while antihypertensives demonstrated no significant impact.

Keywords

American Heart Association
Coronary artery disease
EQ-5D-3L questionnaires
Health-related quality of life
Myocardial infarction

INTRODUCTION

Cardiovascular diseases collectively account for approximately 17.5 million fatalities annually, thereby constituting the predominant global cause of morbidity and mortality. Myocardial infarction (MI), representing the predominant clinical manifestation of coronary artery disease (CAD), ensues when a coronary artery undergoes stenosis, typically as a consequence of atherosclerotic plaque rupture, followed by thrombus formation.[1] This critical impairment in coronary perfusion precipitates a profound attenuation in oxygen and nutrient delivery to the myocardial tissue distal to the obstruction,[2] culminating in ischemic necrosis of the affected myocardial territory.[3] There are atherosclerotic and nonatherosclerotic causes that can lead to MI.[4] Atherosclerotic causes include myocardial ischemia, acute plaque rupture, and role of platelets. Non-atherosclerotic causes include vasospasm, arteritis, embolism, thrombotic diseases, trauma, aneurysm, and compression due to tumor.[5] In addition, sedentary lifestyles, central (visceral) adiposity, a positive familial predisposition to CAD, and persistent psychological stress represent salient modifiable and non-modifiable risk factors.[6,7] These variables frequently coexist and interact synergistically, exacerbating the overall cardiovascular risk profile.[8] Acute MI (AMI) is frequently accompanied by life-threatening complications, including malignant arrhythmias, decompensated congestive heart failure, cardiogenic shock, and thromboembolic events.[9,10] A principal diagnostic modality for AMI involves the quantitative assessment of specific cardiac biomarkers such as creatinine kinase, lactate dehydrogenase, and cardiac troponins. Studies show that there is still a significant underuse of revascularization procedures such as percutaneous coronary intervention (PCI) and coronary artery bypass grafting (CABG) in AMI[11,12] as well as a deficit in the prescribing pattern of core cardiovascular therapy. Statins, antiplatelet drugs, anticoagulants, angiotensin-converting enzyme inhibitors, or beta-blockers are considered core cardiovascular therapy.[13] Core cardiovascular therapy is used to prevent further infarction or death due to MI following revascularization procedures; hence, they are considered to be secondary prophylaxis.[14] Our study evaluates the prescribing pattern of core cardiovascular drugs in post-MI patients and assesses their adherence to American Heart Association (AHA) guidelines. Prescriptions consistent with guidelines are considered good adherence, while deviations from guidelines are classified as poor adherence. Based on this, we examine the impact of adherence on patient’s health-related quality of life (HRQoL).[15,16] A systematic review examining HRQOL in individuals with stable CAD during the 1–3-year period following MI identified significant methodological deficiencies across the evaluated studies.[17] Furthermore, the temporal scope of patient follow-up was markedly constrained, with the majority of studies limiting their observational windows to short-term durations.[18] This methodological insufficiency compromises the capacity to capture the long-term trajectory of HRQoL and its determinants in post-MI populations, thereby impeding the development of sustained, patient-centered care strategies.[19] The EQ-5D-3L is an HRQoL instrument with five dimensions of health (mobility, self-care, usual activities, pain and discomfort, anxiety and depression), for which there are three levels of answer (no problems, some problems, and severe problems).[20,21]

MATERIAL AND METHODS

It is a prospective observational study which was conducted in the Department of Cardiology at Karpagam Faculty of Science and Research in Coimbatore, Tamil Nadu. This study aimed to analyze the current prescribing trends in the management of MI patients and compare it with standard AHA guidelines and its impact on the quality of life in MI patients. This study spanned a period of 6 months with a total sample size of 140 participants. The sample size calculation was based on Cochran’s formula (n = Z2×P (1−P)/d2).

Were,

n = required sample size

Z = normal deviation (1.96)

P = proportion of adherence

d = margin of error (0.05)

Sample size calculation

Z = 95% Confidence interval which is equal to 1.96

P = 0.1% (estimated prevalence of poor adherence from prior studies)

d = 0.05

n=1.962×0.110.10.052

n = 138 which is rounded to 140.

Study criteria

Inclusion criteria

  • Patients of either gender over 18 years of age diagnosed with MI

  • Patients with MI, with or without associated comorbidities

  • Patients who have undergone revascularization procedures such as PCI and CABG

  • Patients prescribed with cardiovascular drugs at the time of hospitalization.

Exclusion criteria

  • Patient with cardiovascular disease other than MI

  • Special populations including pregnant women, lactating mothers, and patients with cognitive impairment

  • Patients who are unwilling to participate are excluded from the study.

Data collection and study procedure

According to ethical guidelines and institutional protocols, informed consent was obtained from all patients before the collection of data. Following consent, the essential patient information was obtained using a data collection form. Then, we evaluated the prescribing pattern of MI drugs among cardiovascular patients in comparison with AHA guideline recommendations. The analysis includes commonly prescribed drug classes such as antiplatelets (aspirin and clopidogrel), anticoagulants (heparin and warfarin), statins (atorvastatin, rosuvastatin, and simvastatin), and anti-hypertensives (nitroglycerine trinitrate, telmisartan, metoprolol, cilnidipine, nebivolol, telmisartan + chlorthalidone, furosemide, and spironolactone, carvedilol). Prescription pattern was assessed based on dose, frequency, drug combination, and adherence to recommended therapeutic regimens. Then, the quality of life was assessed using the EQ-5D-3L questionnaire, which evaluates five health domains with three levels of severity.

The data collection process was carried out in the following way:

  • Part A: Informed consent was taken from the patient before study

  • Part B: The data collection form consists of demographic details, reason for admission, past medical and medication history, social history, relevant laboratory details, and medication chart

  • Part C: The EQ-5D-3L Questionnaire assessed 5 individual domains of mobility, self-care, usual activity, pain/discomfort, and anxiety/depression. Each domain was scored as follows.

  • Level 1: Indicating no problem (Score = 1)

  • Level 2: Indicating some problem (Score = 2)

  • Level 3: Indicating extreme problem (Score = 3).

The assessment was conducted at 2 time points: at admission and at discharge to evaluate the change in HRQoL during hospitalization. Individual domain scores were analyzed descriptively, and an overall EQ-5D index were calculated using the standard valuation algorithm for the instrument. The index and domain scores were compared to identify the most affected aspects of quality of life among MI patients.

Statistical analysis

The collected data were entered into MS Excel for calculating the percentage of various parameters. Descriptive statistics, including mean and standard deviation, were used to analyze the data. A statistical analysis test using Chi-square was performed to compare the association of prescribed drugs and the scales used.

RESULTS

Total sample size: 140.

Demographic status

Table 1 presents the patient demographic data comprising a total of 140 individuals. Among these, 94 (68.13%) were male and 46 (32%) were female, indicating a higher prevalence among males. In terms of age distribution, the majority of patients were between 50 and 60 years (39 patients, 28.3%), followed by those in the 60–70-year age group (34 patients, 24.6%) and only 5 patients (1%) were above 80 years of age. This distribution shows that most patients were middle-aged to elderly, with the highest concentration in the 50–70-year age range.

Table 1: Basic demographic details of subjects (n=140).
Category Subgroup Number of patients Percentage
Gender Male 94 68.13
Female 46 32
Age 30–40 16 11.6
40–50 33 23.9
50–60 39 28.3
60–70 34 24.6
70–80 13 9.4
>80 5 1

Comorbidities

Table 2 represents the comorbidities observed among 140 myocardial patients. The most prevalent comorbidity was Systemic hypertension (SHTN), affecting 51 patients (36.45%), followed by diabetes mellitus (DM), present in 34 patients (24.34%), and cerebrovascular accident was the least common, found in only 1 patient (0.7%). Notably, 55 patients (39.3%) had no comorbidities . These findings highlight that a significant proportion of myocardial patients also suffers from hypertension and diabetes.

Table 2: Comorbidities of myocardial patients (n=140).
Comorbidities No of patients Percentage
Hypertension 51 36.45
Diabetes mellitus 34 24.34
Coronary artery disease 22 15.7
Cerebrovascular accident 1 0.7
Chronic obstructive pulmonary disease 4 2.9
Nil 55 39.3

Prescribing pattern

Table 3 shows that aspirin and ticagrelor (100% and 83.1%) were the most commonly prescribed antiplatelet drugs, followed by clopidogrel (27.9%). Rosuvastatin (11.9%) and atorvastatin (4.5%) were commonly prescribed statins. Heparin (84.1%) was the most commonly used anticoagulant. Nitroglycerine trinitrate (13.3%) and cilnidipine (12.6%) were most commonly prescribed antihypertensive drugs, followed by furosemide (3%), telmisartan + chlorthalidone (4.4%), and spironolactone (1.5%).

Table 3: Prescription pattern of MI patients (n=140).
Class and name of drug No of patients Percentage
Anti-platelet
  Aspirin 136 100
  Ticagrelor 113 83.1
  Clopidogrel 38 27.9
Statins
  Atorvastatin 6 4.5
  Rosuvastatin 16 11.9
  Simvastatin 1 0.7
Anti-coagulants
  Heparin 116 84.1
  Warfarin 1 0.7
Anti-hypertensive
  Nitroglycerine trinitrate 18 13.3
  Telmisartan 6 4.4
  Metoprolol 54 40
  Cilnidipine 17 12.6
  Nebivolol 1 0.7
  Telmisartan+chlorthalidone 1 0.7
  Furosemide 4 3
  Spironolactone 2 1.5
  Carvedilol 1 0.7

MI: Myocardial infarction

Comparison with standard AHA guidelines

Table 4 shows on comparison with standard AHA guidelines, major cardiovascular therapies indicated good adherence, except for a few drugs which showed poor adherence, includes simvastatin, warfarin, cilnidipine, and nebivolol.

Table 4: Comparison with standard AHA guidelines.
Name of the drug Guideline recommendation Prescribed % Adherence
Aspirin Yes, recommended, in ASCVD; it is first line for secondary prevention 100 Good adherence
Ticagrelor Yes, recommended, ticagrelor is advised in dual therapy; it is frequently chosen over clopidogrel 83.1 Good adherence
Clopidogrel Yes, recommended following PCI. It is used in dual antiplatelet treatment with aspirin for acute coronary syndrome 27.9 Poor adherence
Atorvastatin Yes, recommended 4.5 Poor adherence
Rosuvastatin Yes, recommended 11.9 Poor adherence
Simvastatin Not recommended due to increased interactions, decreased potency and no longer first-line drug. 0.7 Poor adherence
Heparin Yes, usually recommended 84.1 Good adherence
Warfarin Warfarin is not routinely recommended for all MI patients 0.7 Poor adherence
Nitroglycerine Trinitrate Nitroglycerine is a standard therapy in the management of MI according to AHA guidelines but it is slowing down, according to the study 13.3 Poor adherence
Telmisartan Yes, it is recommended according to AHA guidelines 4.4 Poor adherence
Metoprolol Beta-blockers are recommended in post-MI in heart failure hypertension 40 Poor adherence
Cilnidipine Not recommended by AHA in post-MI specifically 12.7 Poor adherence
Nebivolol Limited in post-MI not recommended 0.6 Poor adherence

ASCVD: Atherosclerotic cardiovascular disease, PCI: Percutaneous coronary intervention, MI: Myocardial infarction, AHA: American Heart Association

Quality of life domain analysis

Table 5 shows that the EQ-5D-3L distribution charts show the prevalence of several health-related problems (such as anxiety/depression, pain/discomfort, usual activities, self-care, and mobility) at different levels. A considerable percentage of people have some issues, according to the data, especially with mobility (120 instances), pain/discomfort (99 cases), and self-care (89 cases). The highest frequency of reported extreme issues is in self-care (19 cases) and regular activities (20 cases). Of those who report having anxiety or depression, 48 have some problems, 4 have severe problems, and 88 say that they have no problems. According to the pain/discomfort breakdown, 31 people report no discomfort, 10 report severe problems, and 99 report some problems. All things considered, these numbers highlight the distinct levels of impairment in several health domains, indicating the necessity of focused treatments to enhance quality of life.

Table 5: EQ-5D-3L quality of life domain analysis.
Domains No problem (n) Some problem (n) Extreme problem (n)
Mobility 8 120 12
Self-care 32 89 19
Usual activities 36 84 20
Pain/discomfort 31 99 10
Anxiety/depression 88 48 4

Statistical analysis

P < 0.05 indicates significance and P-value more than 0.05 (P > 0.05) indicates non-significance.

According to the results, antiplatelet therapy revealed a significant correlation with self-care (P = 0.049) and usual activity (P = 0.039), where statins are significantly correlated with anxiety/depression (P = 0.016). Anticoagulants showed a significant relationship with self-care (P = 0.017) and pain/discomfort (P = 0.045), and antihypertensives exhibited a significant correlation with mobility (P = 0.017), self-care (P = 0.006), and pain/discomfort (P = 0.014). On comparing the overall P-value of therapies with quality of life, the P-value of antiplatelet (P = 0.000), anticoagulant (P = 0.035), and statins (P = 0.018) is significant. The P-value of antihypertensive (P = 0.734) is not significant [Table 6].

Table 6: Statistical analysis.
Domains Antiplatelet Statin Anticoagulant Antihypertensive
P-value
Mobility 0.452 0.335 0.683 0.017
Self-care 0.049 0.547 0.017 0.006
Usual activity 0.039 0.385 0.508 0.152
Pain/discomfort 0.349 0.243 0.045 0.014
Anxiety/depression 0.218 0.016 0.890 0.225
Sig (two-tailed)* 0.000* 0.018* 0.035* 0.734
indicates statistical significance at p < 0.05 based on a two tailed test

Other drugs prescribed

Table 7 shows that percentage of prescription patterns of various classes of drugs was pantoprazole (53.6%); oral hypoglycemic drugs such as glimepiride, sitagliptin, and metformin (5.4%, 4.7%, and 10.9%); antibiotics such as cephalosporins, piperacillin tazobactam, and meropenem (28.5%, 57.14%, 35.7%); supplement therapies such as vitamins and folvite (42.8%, 14.2%); antiemetics such as ondansetron (42.8%); benzodiazepines such as clonazepam and alprazolam (7.14%, 25%), and emergency drugs such as epinephrine, atropine, fentanyl, midazolam, and lidocaine.

Table 7: Other drugs prescribed in MI patients.
Class and name of the drug No of patients Percentage
Antibiotics
  Cephalosporin 40 28.5
  Piperacillin+Tazobactam 80 57.14
  Meropenem 50 35.7
Oral hypoglycemic drugs
  Glimepiride 7 5.4
  Sitagliptin 6 4.7
  Metformin 14 10.9
Proton pump inhibitor
  Pantoprazole 60 53.6
Supplement therapies
  Vitamins 60 42.8
  Folic acid 20 14.2
Antiemetics
  Ondansetron 60 42.8
  Benzodiazepines
  Clonazepam 10 7.14
  Alprazolam 35 25

MI: Myocardial infarction

DISCUSSION

This study, conducted at Karpagam Medical Science and Research, evaluated 140 MI patients to analyze both their quality of life and the prescribing pattern in which the latter’s adherence was compared with AHA guidelines. The study revealed a clear predominance of male patients (68.13%) which may be due to the higher prevalence of vascular risk factors among men. Lifestyle factors such as smoking, alcohol consumption, and sedentary behavior are known contributors to cardiovascular disease, particularly in men. In contrast, premenopausal women benefit from the cardioprotective effects of endogenous estrogen, which delays the onset of MI. Once menopause occurs and estrogen levels decline, this protective effect diminishes, aligning with similar observations from the Anantapur study by Palli et al. (2023).[22]

Age-wise distribution revealed that a significant proportion of the patients fell within the 50–60 years (28.3%) and 60– 70 years (24.6%) age groups. These age ranges represent a critical stage in cardiovascular disease development, often due to prolonged exposure to interrelated risk factors such as hypertension, poor glycemic control, and dyslipidemia. With aging, vascular remodeling and endothelial dysfunction become more prevalent, both of which increase susceptibility to adverse cardiac events. These observations align with Kim.[23]

Regarding comorbidities, hypertension (36.45%) and DM (24.34%) were the most commonly observed. Notably, 55 patients (39.3%) did not present with any comorbid condition. Hypertension and diabetes are well-documented modifiable risk factors for MI. Chronic high blood pressure leads to arterial damage over time, while hyperglycemia contributes to endothelial dysfunction and atherogenesis.

The adherence of prescribed drugs to the AHA guideline recommendations was evaluated by comparing the percentage of prescriptions for each drug with the guideline’s recommended therapy for MI. Drugs that were recommended by AHA and prescribed to more than or equal to 75% of eligible patients were categorized as showing good adherence. Drugs prescribed to 50–74% of eligible patients were considered as showing moderate adherence, and those prescribed to <50% were classified as poor adherence. Descriptive statistical analysis was performed using frequency and percentage distribution. Since the study was observational and descriptive, inferential statistics were not applied; instead, adherence was interpreted based on proportional compliance with guideline-recommended therapy. On analyzing the prescribing patterns, dual antiplatelet therapy, aspirin (100%) and ticagrelor (83.1%), was used in patients, which showed good adherence toward the guidelines. The use of clopidogrel (27.9%) is limited because of its specific use in elderly patients and those receiving fibrinolytics. Although statins were prescribed in 75.5% of patients, it showed underutilization in comparison with guidelines as nearly 29.1% of patients did not receive any statins, which represents a major gap in pharmaceutical care. With anticoagulant therapy, unfractionated heparin (84.1%) was used predominantly and showed good adherence toward guidelines but 15.2% of the patients did not receive any. On compliance with guidelines, antihypertensive agents such as metoprolol (40%) were commonly prescribed. However, administration of calcium channel blockers, diuretics, and their associated variable dosing shows inconsistent application of personalised medicine.

To assess quality of life, the EQ-5D-3L questionnaire was utilized, focusing on five key domains: Mobility, self-care, usual activities, pain/discomfort, and anxiety/depression, consistent with the methodology used by Dyer et al. (2010).[24] The findings linked these domains to the prescribed drug classes, especially those used in MI management. Most patients reported significant issues in mobility, pain/discomfort, and self-care, highlighting these as critical areas impacting post-MI recovery. Moderate issues were noted in the anxiety/depression domain, underscoring the mental health burden of MI. Severe challenges in self-care and depression were reported by only a small number of patients, indicating fewer but serious cases requiring further clinical attention.

Notably, our study demonstrated a statistically significant association between core cardiovascular pharmacotherapy (antiplatelet, anticoagulant, antihypertensive, and statins) and its prominence in improving the quality of life. Here, the latter was assessed with EQ-5D-3L questionnaire.

Antiplatelets were strongly correlated with better self-care (P = 0.049) and usual activity (P = 0.039), anticoagulants with self-care (P = 0.017) and pain/discomfort (P = 0.045), antihypertensive with mobility (P = 0.017), self-care (P = 0.006), and pain/discomfort (P = 0.014), Statins with reduced anxiety/depression (P = 0.016). The overall statistical correlation revealed a significant association with antiplatelets (P = 0.000), statins (P = 0.018), and anticoagulants (P = 0.035) whereas antihypertensives (P = 0.734) show relative insignificance.

A strong correlation was observed between the use of antiplatelets, statins, and anticoagulants and improvements in quality of life, aligning with the study by Ferrières et al. (2009).[25] A systematic review further emphasized the relevance of HRQOL assessments, including those employing EQ-5D-3L tools, to track long-term patient outcomes and assess the broader impact of therapeutic interventions such as antiplatelet and anticoagulant therapies.[26-30]

Limitations

The study was conducted over a 6-month period with a relatively small sample size (140 participants), which may limit the generalizability of the findings. Data collection was limited to a single institution, which may not represent the broader population of MI patients. The study did not include long-term follow-up to assess the sustained impact of treatments on quality of life. Self-reported data from the EQ-5D-3L questionnaire may introduce response bias, affecting the accuracy of the quality-of-life assessment. The study does not include a control group for comparison, making it difficult to determine causality between prescribed medications and quality-of-life outcomes. Factors such as lifestyle, comorbidities, and adherence to prescribed medications were not fully accounted for, potentially influencing results.

CONCLUSION

The study revealed that usage of most of the core cardiovascular therapies aligns with the standard AHA guidelines. However, certain medicines show deviations from the standards. Statistical analysis highlighted that core cardiovascular therapies had a considerable association with specific quality of life domains. However, several domains showed P > 0.05, revealing no significant relationship. Improving adherence toward guidelines in addition to individualized pharmacotherapy may refine both clinical outcomes and quality of life in MI patients. Further research should concentrate on long-term follow-up studies.

Ethical approval:

The research/study was approved by the Institutional Review Board at Karpagam Hospital, number IHEC/418/KAHE/02/2025, dated 12th February 2025.

Declaration of patient consent:

The authors certify that they have obtained all appropriate patient consent.

Conflicts of interest:

There are no conflicts of interest.

Use of artificial intelligence (AI)-assisted technology for manuscript preparation:

The authors confirm that there was no use of artificial intelligence (AI)-assisted technology for assisting in the writing or editing of the manuscript and no images were manipulated using AI.

Financial support and sponsorship: Nil.

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