Acute kidney injury, renal impairment and renal failure associated with sodium glucose co-transporter-2 inhibitors in at-risk groups: A systematic review

Randomized controlled trials (RCTs) show a reduction in acute kidney injury, renal impairment and acute renal failure after initiation of a sodium glucose cotransporter-2 inhibitor. Observational literature on the association is conflicting, but important to understand for populations with a higher risk of medication-related adverse renal events. We aimed to systematically review the literature to summarize the association between sodium glucose cotransporter-2 inhibitor use and acute kidney injury, renal impairment and acute renal failure in three at-risk groups: older people aged >65 years, people with heart failure and people with reduced renal function. A systematic search of Embase (1974 until 23 February 2024) and PubMed (1946 until 23 February 2024) was performed. RCTs were included if they reported numbers of acute kidney injury or acute renal failure in people using sodium glucose cotransporter-2 inhibitors compared to other diabetic therapies. Studies needed to report results by level of renal function, heart failure status or age. Of 922 results, eight studies were included. The absolute risk of acute kidney injury or acute renal failure was higher in people >65 years compared to those <65 years, higher in people with heart failure (vs without) and higher in people with reduced kidney function (vs preserved kidney function), but insufficient evidence to determine if the relative effect of sodium glucose cotransporter-2 inhibitors on this risk was similar for each group. At-risk cohorts are associated with a higher incidence of acute kidney problems in users of sodium glucose cotransporter-2 inhibitors.

No effect of remoteness on clinical outcomes following myocardial infarction: An analysis of 43,729 myocardial infarctions in Victoria, Australia

BACKGROUND

Remoteness has been shown to predict poor clinical outcomes following myocardial infarction (MI). This study investigated 1-year clinical outcomes following MI by remoteness in Victoria, Australia.

METHODS

We included all admissions for people discharged from hospital following MI between July 2012 and June 2017 (n = 43,729). Remoteness was determined using the Accessibility/Remoteness Index of Australia (ARIA). The relationship between remoteness and major adverse cardiovascular events (MACE) and all-cause mortality over 1-year was evaluated using adjusted Poisson regression, stratified by type STEMI and NSTEMI.

RESULTS

For NSTEMI, adjusted rates of MACE were 77.5[95% confidence interval 65.1-92.1] for the most remote area versus 83.4[65.5-106.3] for the least remote area per 1000 person-years. For STEMI, rates of MACE were 28.5[18.3-44.6] for the most versus 33.5[18.9-59.4] for the least remote areas per 1000 person-years. With respect to all-cause mortality, NSTEMI mortality rates were 82.2[67.0-100.9] for the most versus 100.8[75.2-135.1] for the least remote areas per 1000 person-years. For STEMI, mortality rates were 24.7[13.7-44.7] for the most versus 22.3[9.8-50.8] for the least remote per 1000 person-years.

CONCLUSIONS

Rates of MACE and all-cause mortality were similar in regardless of degree of remoteness, suggesting that initiatives to increase access to cardiology care in more remote areas succeeded in reducing previous disparities.

Did Australia's COVID-19 Restrictions Impact Statin Incidence, Prevalence or Adherence?

COVID-19 restrictions may have an unintended consequence of limiting access to cardiovascular care. Australia implemented adaptive interventions (eg, telehealth consultations, digital image prescriptions, continued dispensing, medication delivery) to maintain medication access. This study investigated whether COVID-19 restrictions in different jurisdictions coincided with changes in statin incidence, prevalence and adherence. Analysis of a 10% random sample of national medication claims data from January 2018 to December 2020 was conducted across 3 Australian jurisdictions. Weekly incidence and prevalence were estimated by dividing the number statin initiations and any statin dispensing by the Australian population aged 18-99 years. Statin adherence was analyzed across the jurisdictions and years, with adherence categorized as <40%, 40%-79% and ≥80% based on dispensing per calendar year. Overall, 309,123, 315,703 and 324,906 people were dispensed and 39,029, 39,816, and 44,979 initiated statins in 2018, 2019, and 2020 respectively. Two waves of COVID-19 restrictions in 2020 coincided with no meaningful change in statin incidence or prevalence per week when compared to 2018 and 2019. Incidence increased 0.3% from 23.7 to 26.2 per 1000 people across jurisdictions in 2020 compared to 2019. Prevalence increased 0.14% from 158.5 to 159.9 per 1000 people across jurisdictions in 2020 compared to 2019. The proportion of adults with ≥80% adherence increased by 3.3% in Victoria, 1.4% in NSW and 1.8% in other states and territories between 2019 and 2020. COVID-19 restrictions did not coincide with meaningful changes in the incidence, prevalence or adherence to statins suggesting adaptive interventions succeeded in maintaining access to cardiovascular medications.

Optimising adherence to secondary prevention medications following acute coronary syndrome utilising telehealth cardiology pharmacist clinics: a matched cohort study

BACKGROUND

Adherence to secondary prevention medications following acute coronary syndromes (ACS) is a predictor of future major adverse cardiovascular events. Underutilisation of these medications is associated with higher risk of major adverse cardiovascular events globally.

AIM

To explore the effects of a telehealth cardiology pharmacist clinic on patient adherence to secondary prevention medications in the 12 months following ACS.

METHOD

Retrospective matched cohort study within a large regional health service comparing patient populations before and after implementation of pharmacist clinic with 12-month follow up. Patients who received percutaneous coronary intervention for ACS were consulted by the pharmacist at 1, 3- and 12-months. Matching criteria included age, sex, presence of left ventricular dysfunction and ACS type. Primary outcome was difference in adherence in adherence at 12 months post ACS. Secondary outcomes included major adverse cardiovascular events at 12 months and validation of self-reported adherence using medication possession ratios from pharmacy dispensing records.

RESULTS

There were 156 patients in this study (78 matched pairs). Analysis of adherence at 12 months demonstrated an absolute increase in adherence by 13% (31 vs. 44%, p = 0.038). Furthermore, sub-optimal medical therapy (less than 3 ACS medication groups at 12 months) reduced by 23% (31 vs. 8%, p = 0.004).

CONCLUSION

This novel intervention significantly improved adherence to secondary prevention medications at 12 months, a demonstrated contributor to clinical outcomes. Primary and secondary outcomes in the intervention group were both statistically significant. Pharmacist-led follow up improves adherence and patient outcomes.

Clinical outcome measures in the assessment of impact of pharmacists in cardiology ambulatory care: A systematic review

AIMS

Pharmacists are involved in the care of patients with cardiac disease within the ambulatory setting across multiple modes of delivery and practice settings. There is a lack of consensus surrounding the assessments used to measure the impact of pharmacist care. This heterogeneity may undermine confidence and limit utilisation of pharmacists in cardiology ambulatory care. A systematic review was conducted to understand how pharmacist interventions in cardiology ambulatory care were assessed and the impacts of these interventions on patient-centred outcomes.

METHODS AND RESULTS

A comprehensive search was conducted of MEDLINE, CINAHL Plus, Cochrane Register of Randomised Controlled Trials and EMBASE from 2000 to 2020 with search terms involving pharmacist interventions among cardiology patients in the ambulatory care setting; with studies restricted to randomised controlled trials. Search results were independently screened by two reviewers. The Cochrane Risk of Bias in Randomised Trials tool was used for quality assessment of the included studies. Assessments of pharmacist impact were analysed and compared to established quality indicators of cardiology care. The search produced 3380 individual studies, following screening, 26 studies involving 9013 participants met inclusion criteria. Across the 26 included studies, eleven different intervention types were identified. Four main outcome measures assessing the impact of these interventions were identified: direct measure of cardiovascular disease risk factor, major adverse cardiovascular events, medication adherence, validated risk score for cardiovascular events. There was a high degree of variance in both the way these interventions influenced the outcome as well the outcome measures selected to assess the impact of the intervention. Of the 26 studies, sixteen listed positive impacts on primary outcomes and the remaining 10 listed neutral effects.

CONCLUSION

Several outcome measures have been used to assess the impact of pharmacist intervention in cardiology ambulatory care. Aligning outcome measures with known indicators of cardiology care quality, as well as more detailed descriptions of intervention, will provide clinicians vital information in designing effective and measurable interventions in cardiology ambulatory care.