Postponement of Death by Statin Use: a Systematic Review and Meta-analysis of Randomized Clinical Trials

Genetic insights into the association of statin and newer nonstatin drug target genes with human longevity: a Mendelian randomization analysis

BACKGROUND

It remains controversial whether the long-term use of statins or newer nonstatin drugs has a positive effect on human longevity. Therefore, this study aimed to investigate the genetic associations between different lipid-lowering therapeutic gene targets and human longevity.

METHODS

Two-sample Mendelian randomization analyses were conducted. The exposures comprised genetic variants that proxy nine drug target genes mimicking lipid-lowering effects (LDLR, HMGCR, PCKS9, NPC1L1, APOB, CETP, LPL, APOC3, and ANGPTL3). Two large-scale genome-wide association study (GWAS) summary datasets of human lifespan, including up to 500,193 European individuals, were used as outcomes. The inverse-variance weighting method was applied as the main approach. Sensitivity tests were conducted to evaluate the robustness, heterogeneity, and pleiotropy of the results. Causal effects were further validated using expression quantitative trait locus (eQTL) data.

RESULTS

Genetically proxied LDLR variants, which mimic the effects of lowering low-density lipoprotein cholesterol (LDL-C), were associated with extended lifespan. This association was replicated in the validation set and was further confirmed in the eQTL summary data of blood and liver tissues. Mediation analysis revealed that the genetic mimicry of LDLR enhancement extended lifespan by reducing the risk of major coronary heart disease, accounting for 22.8% of the mediation effect. The genetically proxied CETP and APOC3 inhibitions also showed causal effects on increased life expectancy in both outcome datasets. The lipid-lowering variants of HMGCR, PCKS9, LPL, and APOB were associated with longer lifespans but did not causally increase extreme longevity. No statistical evidence was detected to support an association between NPC1L1 and lifespan.

CONCLUSION

This study suggests that LDLR is a promising genetic target for human longevity. Lipid-related gene targets, such as PCSK9, CETP, and APOC3, might potentially regulate human lifespan, thus offering promising prospects for developing newer nonstatin therapies.

Absolute treatment effects for the primary outcome and all-cause mortality in the cardiovascular outcome trials of new antidiabetic drugs: a meta-analysis of digitalized individual patient data

AIMS

Treatment effects from the large cardiovascular outcome trials (CVOTs) of new antidiabetic drugs are almost exclusively communicated as hazard ratios, although reporting guidelines recommend to report treatment effects also on an absolute scale, e.g. as numbers needed to treat (NNT). We aimed to analyse NNTs in CVOTs comparing dipeptidyl peptidase-4 (DPP-4) inhibitors, glucagon-like peptide-1 (GLP-1) receptor agonists, or sodium-glucose cotransporter-2 (SGLT2) inhibitors to placebo.

METHODS

We digitalized individual time-to-event information for the primary outcome and all-cause mortality from 19 CVOTs that compared DPP-4 inhibitors, GLP-1 receptor agonists, or SGLT2 inhibitors to placebo. We estimated Weibull models for each trial and outcome and derived monthly NNTs. NNTs were summarized across all trials and within drug classes by random effects meta-analysis methods.

RESULTS

Treatment effects in the CVOTs appear smaller if they are reported as NNTs: Overall, 100 (95%-CI: 60, 303) patients have to be treated for 29 months (the median follow-up time across all trials) to avoid a single event of the primary outcome, and 128 (95%-CI: 85, 265) patients have to be treated for 39 months to avoid a single death. NNT time courses are very similar for GLP-1 receptor agonists and SGLT2 inhibitors, whereas treatment effects with DPP-4 inhibitors are smaller.

CONCLUSIONS

We found that the respective treatment effects look less impressive when communicated on an absolute scale, as numbers needed to treat. For a valid overall picture of the benefit of new antidiabetic drugs, trial authors should also report treatment effects on an absolute scale.

Consideration Regarding the Analysis of Randomized Controlled Trials in the Era of Evidence-based Medicine

ABSTRACT

Analysis of randomized controlled trials (RCTs) is the cornerstone of evidence-based medicine, therapeutic guidelines and ultimately daily practice. However, 2 issues contribute to cloud the analysis of RCTs. Industry-sponsored RCTs aim at capturing as large indications as possible and clinicians rely excessively on P value statistical significance for the evaluation of the findings. To be most valuable to practitioners, analysis of RCTs needs to provide absolute risk reduction, number of patients needed to treat, fragility index along with the estimation of lost to follow-up patients, and outcome postponement (gain in survival time). We analyzed few major cardiovascular RCTs and assessed the robustness of their findings. Our suggested analytic parameters may be further used in future systematic reviews and meta-analyses.

Prolongation of disease-free life: When is the benefit sufficient to warrant the effort of taking a preventive medicine?

The prolongation of disease-free life (PODL) required by people to be willing to accept an offer of a preventive treatment is unknown. Quantifying the required benefits could guide information and discussions about preventive treatment. In this study, we investigated how large the benefit in prolongation of a disease-free life (PODL) should be for individuals aged 50-80 years to accept a preventive treatment offer. We used a cross-sectional survey design based on a representative sample of 6847 Danish citizens aged 50-80 years. Data were collected in 2019 through a web-based standardized questionnaire administered by Statistics Denmark, and socio-demographic data were added from a national registry. We analyzed the data with chi-square tests and stepwise multinomial logistic regression. The results indicate that the required minimum benefit from the preventive treatment varied widely between individuals (1-week PODL = 14.8%, ≥4 years PODL = 39.2%), and that the majority of individuals (51.1%) required a PODL of ≥2 years. The multivariable analysis indicate that education and income were independently and negatively associated with requested minimum benefit, while age and smoking were independently and positively associated with requested minimum benefit to accept the preventive treatment. Most individuals aged 50-80 years required larger health benefits than most preventive medications on average can offer. The data support the need for educating patients and health care professionals on how to use average benefits when discussing treatment benefits, especially for primary prevention.

Diagnosis and Management of Heart Failure in Elderly Patients from Hospital Admission to Discharge: Position Paper

Multidisciplinary management of worsening heart failure (HF) in the elderly improves survival. To ensure patients have access to adequate care, the current HF and French health authority guidelines advise establishing a clearly defined HF patient pathway. This pathway involves coordinating multiple disciplines to manage decompensating HF. Yet, recent registry data indicate that insufficient numbers of patients receive specialised cardiology care, which increases the risk of rehospitalisation and mortality. The patient pathway in France involves three key stages: presentation with decompensated HF, stabilisation within a hospital setting and transitional care back out into the community. In each of these three phases, HF diagnosis, severity and precipitating factors need to be promptly identified and managed. This is particularly pertinent in older, frail patients who may present with atypical symptoms or coexisting comorbidities and for whom geriatric evaluation may be needed or specific geriatric syndrome management implemented. In the transition phase, multi-professional post-discharge management must be coordinated with community health care professionals. When the patient is discharged, HF medication must be optimised, and patients educated about self-care and monitoring symptoms. This review provides practical guidance to clinicians managing worsening HF in the elderly.

Postponement of cardiovascular outcomes by statin use: A systematic review and meta-analysis of randomized clinical trials

OBJECTIVE

To estimate the average outcome postponement (gain in days to an event) for cardiovascular outcomes in a meta-analysis of randomized, controlled statin trials, including any myocardial infarction, any stroke and cardiovascular death.

DESIGN

Systematic review of large randomized, placebo-controlled trials of statin use, including a random-effects meta-analysis of all included trials.

DATA SOURCES

We searched MEDLINE (15 July 2019) and ClinicalTrials.gov (16 October 2019).

ELIGIBILITY CRITERIA FOR SELECTING STUDIES

Randomized, placebo-controlled trials of statin use that included at least 1000 participants. We identified 15 cardiovascular outcomes that were reported in more than 2 trials.

RESULTS

We included 19 trials. The summary outcome postponements for the 15 cardiovascular outcomes varied between -1 and 38 days. For four major outcomes, the summary outcome postponement in days was as follows: cardiovascular mortality, 9.27 days (95% CI: 3.6 to 14.91; I²  = 72%; 9 trials) non-vascular and non-cardiovascular mortality, 1.5 days (95% CI: -2.2 to 5.3; I²  = 0%; 6 trials) any myocardial infarction 18.0 days (95% CI; 12.1 to 24.1; I²  = 92%; 15 trials); and any stroke, 6.1 days (95% CI; 2.86 to 9.39; I²  = 66%; 14 trials).

CONCLUSION

Statin treatment provided a small, average postponement of cardiovascular outcomes during trial duration.

Postponement of Death by Pharmacological Heart Failure Treatment: A Meta-Analysis of Randomized Clinical Trials

BACKGROUND

Outcome postponement has been proposed as an effect measure for preventive drug treatment. It describes the average delay of the investigated unwanted clinical event, achieved by taking medication. The objective was to estimate postponement of death for the following heart failure medications compared to placebo: beta-blockers, angiotensin-converting enzyme (ACE) inhibitors, angiotensin II receptor blockers (ARBs), ARB added to ACE inhibitors, aldosterone antagonists, ivabradine, and renin antagonists.

METHODS

We searched Medline and Embase from inception of databases until October 2017. Eligibility criteria were randomized placebo-controlled heart failure trials, including at least 1000 participants, with survival as a prespecified outcome and a minimum trial duration of 1 year. We calculated the outcome postponement by modeling the area between survival curves. This area was modeled on the basis of the hazard ratio or relative risk, the rate of mortality in the placebo group, and the trial duration. All results were standardized to a 3-year trial duration to ensure comparability between treatments.

RESULTS

We identified 14 eligible trials, with a total of 52,014 patients. The results in terms of postponement of all-cause mortality was: beta-blockers 43.7 days (95% confidence interval [95% CI], 20.8-66.5), ACE inhibitors 41.0 days (95% CI, 18.8-63.3), and aldosterone-antagonists 41.3 days (95% CI, 14.3,68.4).

CONCLUSION

The modeled outcome postponement estimates reiterate beta-blockers, ACE inhibitors, and aldosterone antagonists as the mainstay of heart failure treatment. Furthermore, ivabradine or ARBs added to ACE inhibitors results in no statistically significant gain in survival.