Clinical outcomes and medication adherence in acute coronary syndrome patients with and without type 2 diabetes mellitus: a longitudinal analysis 2006-2011

Time-Dependent Risk for Recurrence in Survivors of Major Adverse Cardiovascular Events

INTRODUCTION

The prevalence of the population with a history of an occlusive cardiovascular event has been increasing in recent years, which means that a large number of patients will have a higher risk of presenting a fatal recurrence. The aim is to determine variables associated with time-to-recurrent cardiovascular events and analyze how changes in low-density lipoprotein cholesterol (LDL-C) levels during follow-up may be associated with this time-to-event.

MATERIALS AND METHODS

This is a prospective observational cohort study of 727 adults with a history of at least one occlusive cardiovascular event recruited at a referral hospital in northeastern Colombia. Data from a follow-up period of a maximum of 33 months (median 26 months) (one death) were used to define how clinical and sociodemographic variables impact the recurrence of major adverse cardiovascular events (MACE). Analyses were performed based on proportional hazard models and time-dependent hazard models.

RESULTS

Upon enrollment, 215 (30%) of the participants reported experiencing their most recent cardiovascular event within the preceding year. After two years, the recurrence rate was 12.38% (90/727). The risk of recurrence before two years was 3.9% (95% CI 2.7-5.6). In the multiple models, the presence of severe depression gives a Hazard Ratio of 8.25 (95% CI 2.98-22.86) and LDL ≥120 md/dl Hazard Ratio of 2.12 (95% CI 1.2 -3.9). It was found that LDL >120 mg/dl maintained over time increases the chances of recurrence by 1.7% (Hazard Ratio: 1.017, 95% CI 0.008-0.025).

CONCLUSIONS

The present study allows us to identify a profile of patients who should be treated promptly in an interdisciplinary manner to avoid recurrences of coronary events.

Prevalence and predictors of medication non-adherence among people living with multimorbidity: a systematic review and meta-analysis

OBJECTIVES

This systematic review aimed to describe medication non-adherence among people living with multimorbidity according to the current literature, and synthesise predictors of non-adherence in this population.

METHODS

A systematic review was conducted according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses. PubMed, EMBASE, CINAHL and PsycINFO were searched for relevant articles published in English language between January 2009 and April 2019. Quantitative studies reporting medication non-adherence and/or predictors of non-adherence among people with two or more chronic conditions were included in the review. A meta-analysis was conducted with a subgroup of studies that used an inclusive definition of multimorbidity to recruit participants, rather than seeking people with specific conditions. Remaining studies reporting prevalence and predictors of non-adherence were narratively synthesised.

RESULTS

The database search produced 10 998 records and a further 75 were identified through other sources. Following full-text screening, 178 studies were included in the review. The range of reported non-adherence differed by measurement method, at 76.5% for self-report, 69.4% for pharmacy data, and 44.1% for electronic monitoring. A meta-analysis was conducted with eight studies (n=8949) that used an inclusive definition of multimorbidity to recruit participants. The pooled prevalence of non-adherence was 42.6% (95% CI: 34.0 - 51.3%, k=8, I²=97%, p<0.01). The overall range of non-adherence was 7.0%-83.5%. Frequently reported correlates of non-adherence included previous non-adherence and treatment-related beliefs.

CONCLUSIONS

The review identified a heterogeneous literature in terms of conditions studied, and definitions and measures of non-adherence used. Results suggest that future attempts to improve adherence among people with multimorbidity should determine for which conditions individuals require most support. The variable levels of medication non-adherence highlight the need for more attention to be paid by healthcare providers to the impact of multimorbidity on chronic disease self-management.

PROSPERO REGISTRATION NUMBER

CRD42019133849.

Lipoprotein (a) predicts recurrent worse outcomes in type 2 diabetes mellitus patients with prior cardiovascular events: a prospective, observational cohort study

BACKGROUND

Merging studies have reported the association of lipoprotein(a) [Lp(a)] with poor outcomes of coronary artery disease (CAD) in patients with type 2 diabetes mellitus (T2DM). However, the prognostic importance of Lp(a) for recurrent cardiovascular events (CVEs) is currently undetermined in patients with T2DM and prior CVEs.

METHODS

From April 2011 to March 2017, we consecutively recruited 2284 T2DM patients with prior CVEs. Patients were categorized into low, medium, and high groups by Lp(a) levels and followed up for recurrent CVEs, including nonfatal acute myocardial infarction, stroke, and cardiovascular mortality. Kaplan-Meier, Cox regression and C-statistic analyses were performed.

RESULTS

During 7613 patient-years' follow-up, 153 recurrent CVEs occurred. Lp(a) levels were significantly higher in patients with recurrent CVEs than counterparts (20.44 vs. 14.71 mg/dL, p = 0.002). Kaplan-Meier analysis revealed that the event-free survival rate was dramatically lower in high and medium Lp(a) groups than that in low group irrespective of HBA1c status (< 7.0%; ≥ 7.0%, both p < 0.05). Furthermore, multivariate Cox regression models indicated that Lp(a) was independently associated with high risk of recurrent CVEs [HR(95% CI): 2.049 (1.308-3.212)], such data remains in different HBA1c status (HR(95% CI): < 7.0%, 2.009 (1.051-3.840); ≥ 7.0%, 2.162 (1.148-4.073)). Moreover, the results of C-statistic were significantly improved by 0.029 when added Lp(a) to the Cox model.

CONCLUSIONS

Our data, for the first time, confirmed that Lp(a) was an independent predictor for recurrent CVEs in T2DM patients with prior CVEs, suggesting that Lp(a) measurement may help to further risk stratification for T2DM patients after they suffered a first CVE.

Management of acute coronary syndrome in emergency departments: a cross sectional multicenter study (Tunisia)

Background

We aimed to describe diagnosed acute coronary syndrome (ACS) and its care management and outcomes in emergency departments (EDs) and to determine related cardiovascular risk factors (CVRFs).

Methods

We conducted a cross sectional multicenter study that included 1173 adults admitted to EDs for acute chest pain (ACP) in 2015 at 14 sites in Tunisia. Data included patients’ baseline characteristics, diagnosis, treatment and output.

Results

ACS represented 49.7% of non-traumatic chest pain [95% CI: 46.7–52.6]; 74.2% of ACS cases were unstable angina/non-ST-segment-elevation myocardial infarction (UA/NSTEMI). Males represented 67.4% of patients with ACS (p < 0.001). The median age was 60 years (IQR 52–70). Emergency medical service transportation was used in 11.9% of cases. The median duration between chest pain onset and ED arrival was two hours (Inter quartile ranges (IQR) 2–4 h). The age-standardized prevalence rate was 69.9/100,000 PY; the rate was 96.24 in men and 43.7 in women. In the multivariable analysis, CVRFs related to ST segment elevation myocardial infarction were age correlated to sex and active smoking. CVRFs related to UA/NSTEMI were age correlated to sex, familial and personal vascular history and type 2 diabetes. We reported 27 cases of major adverse cardiovascular events (20.0%) in patients with STEMI and 36 in patients with UA/NSTEMI (9.1%).

Conclusion

Half of the patients consulting EDs with ACP had ACS. Emergency medical service transportation calls were rare. Management delays were acceptable. The risk of developing an UA/NSTEMI was equal to the number of CVRFs + 1. To improve patient outcomes, it is necessary to increase adherence to international management guidelines.

Incremental burden of type 2 diabetes in patients experiencing cardiovascular hospitalizations

OBJECTIVE

To evaluate the incremental economic burden of type 2 diabetes in patients experiencing cardiovascular (CV) hospitalizations.

RESEARCH DESIGN AND METHODS

Adults with ≥1 CV hospitalization were identified using a US-based healthcare claims database from 1 July 2011 to 30 June 2014. Outcomes for patients surviving the index hospitalization were compared between patients with vs. without type 2 diabetes (cohorts were identified in the pre-index period). Subsequent CV hospitalizations were evaluated using Cox proportional hazards models. All-cause and CV-related healthcare resource utilization (HCRU) and costs captured on a per-patient per-month (PPPM) basis during a variable follow-up period were evaluated using appropriate multivariable regression models.

RESULTS

Of 316,207 patients with ≥1 CV hospitalization, 23% had comorbid type 2 diabetes. The mean age ± SD was 62.6 ± 12.3 years and 64.4% were male. During follow-up, the type 2 diabetes cohort had a 19% higher risk of subsequent CV hospitalizations compared to the non-type-2-diabetes cohort (p < .001). This difference in risk was highest in patients aged 35-44 years. Subsequent all-cause hospitalizations for the type 2 diabetes cohort were longer (mean length of stay, 6.7 vs. 6.3 days; p < .001), with higher total bed-days PPPM (mean, 0.52 vs. 0.43; p < .001), compared to the non-type-2-diabetes cohort. The type 2 diabetes cohort had a significantly higher incremental cost for both the index CV hospitalization (mean cost difference, $1046; p < .001) and all-cause costs PPPM following discharge (mean cost difference, $749; p < .001).

CONCLUSIONS

Comorbid type 2 diabetes was associated with an increased risk of subsequent CV hospitalizations and higher costs and HCRU during the follow-up period.

Predictors of β-Blocker Initiation After Myocardial Infarction in Patients With Type 2 Diabetes

Background: Beta-blockers remain important for secondary prevention after myocardial infarction (MI). Despite clinical guideline recommendations, underutilization of this pharmacotherapy continues in patients with type 2 diabetes (T2DM) compared to the general post-MI population. Objective: This study aimed to (1) quantify the proportion of T2DM patients utilizing β-blocker therapy within 30 days of hospital discharge after MI and (2) identify clinical and demographic characteristics predicting initiation of β-blocker therapy. Methods: A retrospective cohort of US employed, commercially insured individuals was assembled using de-identified enrollment files, medical claims, and pharmacy claims from 2007 to 2009. Inclusion criteria were the following: (1) type 2 diabetes, (2) ≥18 years old, (3) continuous eligibility, (4) MI. Multivariable logistic regression with adjusted odds ratios (ORadj) using manual backward elimination was used to identify predictors of β-blocker initiation within 30 days of discharge from index hospitalization. Results: Of 341 T2DM patients, 167 (49.0%) were new users and 174 (51.0%) were nonusers of β-blockers within 30 days of post-MI hospital discharge. Patients on a calcium channel blocker (ORadj 2.63) and patients taking 1 to 5 medications (ORadj 3.59) were more likely to initiate β-blockers post-MI. Patients with heart failure (ORadj 0.45) or an arrhythmia (ORadj 0.44) were less likely to initiate β-blockers as well as patients with renal failure not taking a diuretic (ORadj 0.17). Conclusions: These results confirm previous findings that β-blockers are underutilized in T2DM patients post-MI. Predictors from the regression model can guide future research investigating how this deviation from guidelines is attributed to prescriber versus patient behavior.