Contemporary Incidence of Cognitive Impairment or Dementia in Patients undergoing Coronary Artery Bypass Grafting: A Systematic Review and Meta-analysis.

INTRODUCTION: Despite the high prevalence of cognitive impairment or dementia post coronary artery bypass grafting (CABG), the incidence of cognitive impairment or dementia post-CABG in contemporary practice is currently unclear. Therefore, this paper aims to investigate the incidence and associated risk factors of cognitive impairment or dementia in patients post-CABG. METHODS: A systematic search across three databases (PubMed, SCOPUS and Embase) was conducted for studies published in or after 2013 that reported cognitive impairment or dementia post-CABG. Subgroup analyses and meta-regression by risk factors were performed to determine their influence on the results. RESULTS: This analysis included 23 studies with a total of 2620 patients. The incidence of cognitive impairment or dementia less than one month, two to six months, and more than twelve months post-CABG was 35.96% (95%CI: 28.22-44.51, I2=87%), 21.33% (95%CI: 13.44-32.15, I2=88%) and 39.13% (95%CI: 21.72-58.84, I2=84%), respectively. Meta-regression revealed that studies with more than 80% of the cohort diagnosed with hypertension were significantly associated with incidence of cognitive impairment or dementia less than one-month post-CABG. CONCLUSION: This meta-analysis demonstrates a high incidence of cognitive impairment or dementia in patients post-CABG in contemporary practice, particularly less than one month post-CABG. We found that hypertension was a significant risk factor in the short term (less than one month) follow-up period for cognitive impairment or dementia post-CABG. Future research should be done to assess strategies to reduce cognitive impairment post-CABG. .

Effects of Sodium-Glucose Cotransporter 2 on Amputation Events: A Systematic Review and Meta-Analysis of Randomized-Controlled Trials.

INTRODUCTION: Sodium-glucose cotransporter 2 (SGLT2) inhibitors are increasingly utilized in the treatment of diabetes mellitus as well as therapeutic extra-glycemic effects. However, there are still concerns over complications such as amputation events, given the results from the Canagliflozin Cardiovascular Assessment Study (CANVAS) trial. Hence, we conducted a systematic review and meta-analysis of randomized-controlled trials to investigate the effect of SGLT2 inhibitors on amputation events. METHODS: Four electronic databases (PubMed, Embase, Cochrane, and SCOPUS) were searched on November 21, 2020, for articles published from January 1, 2000, up to November 21, 2020, for studies that examined the effect of SGLT2 inhibitors on amputation events. Random-effect pair-wise meta-analysis for hazard ratios and fixed-effect Peto odds ratio meta-analysis were utilized to summarize the studies. RESULTS: A total of 15 randomized-controlled trials were included with a combined cohort of 63,716 patients. We demonstrated that there was no significant difference in amputation events across different types of SGLT2 inhibitors, different baseline populations, and different duration of SGLT2 inhibitor use. DISCUSSION/CONCLUSIONS: In this meta-analysis, SGLT2 inhibitors were not associated with a significant difference in amputation events.

Effects of Sodium/Glucose Cotransporter Inhibitors on Atrial Fibrillation and Stroke: A Meta-Analysis.

OBJECTIVES: Recent clinical trials have shown the potential of sodium glucose cotransporter (SGLT) 2 inhibitors to reduce the risk of atrial fibrillation but not stroke. We conducted a systematic review and meta-analysis to clarify if SGLT2 or combined SGLT1/2 inhibitors affect the risk of atrial fibrillation and stroke in patients regardless of diabetic status. MATERIALS AND METHODS: Four electronic databases were searched on 21st November 2020 for studies evaluating outcomes of stroke and atrial fibrillation with SGLT2 or combined SGLT1/2 inhibitors in both diabetic and non-diabetic patients. Both random and fixed effect, pair-wise meta-analysis models were used to summarize the results of the studies. RESULTS: A total of 13 placebo-controlled, randomized-controlled trials were included. Eight trials comprising 35,702 patients were included in the analysis of atrial fibrillation outcomes and eight trials comprising 47,910 patients were included in the analysis of stroke outcomes. Patients on SGLT inhibitors, particularly SGLT2 inhibitors, had lower odds of atrial fibrillation (Peto odds ratio [95% confidence interval] = 0.76 [0.63-0.92]) compared to placebo. This effect remained significant with a follow-up duration longer than 1 year, in studies utilizing dapagliflozin, patients with type 2 diabetes mellitus, and patients with cardiovascular disease. No difference was observed in the odds of atrial fibrillation in patients with baseline heart failure. No effect was seen on the risk of stroke in patients taking SGLT inhibitors. CONCLUSIONS: SGLT2 inhibitors significantly reduced the odds of atrial fibrillation in diabetic patients. However, SGLT inhibitors did not significantly affect the risk of stroke.

Frailty Modeling using Machine Learning Methodologies: A Systematic Review with Discussions on Outstanding Questions.

Studying frailty is crucial for enhancing the health and quality of life among older adults, refining healthcare delivery methods, and tackling the obstacles linked to an aging demographic. Approaches to frailty modeling often utilise simple analytic techniques rather than available advanced machine learning methods, which may be sub-optimal. There is no large-scale systematic review on applications of machine learning methods on frailty modeling. In this study we explore the use of machine learning methods to predict or classify frailty in older persons in routinely collected data. We reviewed 181 research articles, and categorised analytic methods into three categories: generalised linear models, survival models, and non-linear models. These methods have a moderate agreement with existing frailty scores and predictive validity for adverse outcomes. Limited evidence suggests that non-linear methods outperform generalised linear methods. The top-three predictor/input variables are specific diagnosis or groups of diagnoses, functional performance (e.g., ADLs), and impaired cognition. Mortality, hospital admissions and prolonged hospital stay are the mainly predicted outcomes. Most studies utilise classical machine learning methods with cross-sectional data. Longitudinal data collected by wearable sensors have been used for frailty modeling. We also discuss the opportunities to use more advanced machine learning methods with high dimensional longitudinal data for more personalised and accessible frailty tools.

Co-prevalence and incidence of myocardial infarction and/or stroke in patients with depression and/or anxiety: A systematic review and meta-analysis.

OBJECTIVE: Co-prevalence and incidence of depression and/or anxiety with stroke and myocardial infarction are currently unclear. This paper explores the relationships, as these are important comorbidities affecting patient outcomes. METHODS: A systematic search across five databases (PubMed, Scopus, PsycINFO, Embase, Cochrane) was conducted for observational studies reporting co-prevalence of depression or anxiety with stroke or myocardial infarction. We used random-effects models in all meta-analyses and evaluated heterogeneity using I2. RESULTS: This analysis included 48 studies with a total of 57,342 patients. In patients with depression, the pooled prevalence of stroke was 5.9% (95% CI = 5.53-6.37). In patients with myocardial infarction, the pooled prevalence of anxiety and depression was 9.1% (95% CI = 7.07-11.40, I2 = 85.6%) and 25.9% (95% CI = 18.46-34.12, I2 = 99.1%), respectively, and the pooled cumulative incidence of depression at one year was 20.5% (95% CI = 18.36-22.79). The pooled prevalence of anxiety and depression in patients with stroke was 13.5% (95% CI = 7.67-22.66, I2 = 96.9%) and 23.0% (95% CI = 17.93-28.99, I2 = 96.7%), respectively. The pooled cumulative incidences of depression at two weeks, three months, six months, and one year, were 29.1% (95% CI = 26.60-31.81), 17.0% (95% CI = 10.74-25.92, I2 = 98.0%), 7.4% (95% CI = 6.52-8.49), and 9.1% (95% CI = 3.71-20.79, I2 = 99.8%), respectively. CONCLUSIONS: This meta-analysis outlines the co-morbid burden between depression/anxiety and stroke/myocardial infarction. Future research should be done to evaluate the effectiveness of screening anxiety/depression in myocardial infarction/stroke.

Prevalence, types and treatment of bradycardia in obstructive sleep apnea - A systematic review and meta-analysis.

BACKGROUND: The association of obstructive sleep apnea (OSA) with bradycardia is not well-characterized, which may confer significant morbidity and mortality if left untreated. We sought to clarify the prevalence of comorbid OSA and bradycardia, and the effect of continuous positive airway pressure (CPAP) therapy on bradycardia outcomes. METHODS: We systematically searched four electronic databases (PubMed, Embase, Cochrane Library, Scopus) for randomized or observational studies reporting the co-prevalence of sleep apnea and bradycardia or evaluated the use of CPAP on the incidence of bradycardias. We used random-effects models in all meta-analyses and evaluated heterogeneity using I2. RESULTS: We included 34 articles from 7204 records, comprising 4852 patients. Among patients with OSA, the pooled prevalence of daytime and nocturnal bradycardia were 25% (95% CI: 18.6 to 32.7) and 69.8% (95% CI: 41.7 to 88.2) respectively. Among patients with bradycardia, the pooled prevalence of OSA was 56.8% (95% CI: 21.5 to 86.3). CPAP treatment, compared to those without, did not significantly reduce the risk of daytime (two randomized trials; RR: 0.50; 95% CI: 0.11 to 2.21) or nocturnal bradycardia (one randomized-controlled trial and one cohort study; RR: 0.76; 95% CI: 0.48 to 1.20). CONCLUSIONS: This meta-analysis demonstrates a high comorbid disease burden between OSA and bradycardia. Future research should explore the treatment effect of CPAP on bradycardia incidence, as compared to placebo.

Effect of sodium-glucose cotransporter-2 (SGLT2) inhibitors on serum urate levels in patients with and without diabetes: a systematic review and meta-regression of 43 randomized controlled trials.

Objectives: Sodium-glucose cotransporter-2 (SGLT2) inhibitors have been found to reduce serum urate in patients with type 2 diabetes mellitus. To evaluate if this effect applies to both patients with and without diabetes, we conducted a systematic review and meta-analysis of SGLT2 inhibitors on serum urate levels in this population. Methods: Four electronic databases (PubMed, Embase, Cochrane and SCOPUS) were searched on 25 September 2021 for articles published from 1 January 2000 up to 25 September 2021, for studies that examined the effect of SGLT2 inhibitors on serum urate in study subjects. Random-effects meta-analysis was performed, with subgroup analyses on the type of SGLT2 inhibitor agent administered, presence of type 2 diabetes mellitus, presence of chronic kidney disease and drug dose. Results: A total of 43 randomized controlled trials, with a combined cohort of 31,921 patients, were included. Both patients with [-31.48 µmol/L; 95% confidence interval (CI): -37.35 to -25.60] and without diabetes (-91.38 µmol/L; 95% CI: -126.53 to -56.24) on SGLT2 inhibitors had significantly lower urate levels when compared with placebo. This treatment effect was similarly observed across different types of SGLT2 inhibitors. However, in type 2 diabetes mellitus (T2DM) patients with chronic kidney disease, the reduction in serum urate with SGLT2 inhibitors became insignificant (95% CI: -22.17 to 5.94, p < 0.01). Conclusion: This study demonstrated that SGLT2 inhibitors are beneficial in reducing serum urate in patients with and without diabetes. SGLT2 inhibitors could therefore contribute to the general treatment of hyperuricaemia.

Comparing Sacubitril/Valsartan Against Sodium-Glucose Cotransporter 2 Inhibitors in Heart Failure: A Systematic Review and Network Meta-analysis.

BACKGROUND AND OBJECTIVE: In recent trials, sodium-glucose cotransporter 2 (SGLT2) inhibitors proved effective as treatment for heart failure. However, the relative efficacy of sacubitril/valsartan against SGLT2 inhibitor in patients with heart failure remains unknown. Hence, we performed a network meta-analysis to compare the effects of sacubitril/valsartan against SGLT2 inhibitors on cardiovascular outcomes in patients with heart failure. METHODS: Four electronic databases (PubMed, Embase, Cochrane, SCOPUS) were searched for randomised-controlled trials (RCTs) published from 1st January 2000 to 25th September 2021. Two additional systematic reviews were conducted for RCTs of enalapril and valsartan to establish a common comparator arm. Frequentist network meta-analysis models were utilised to summarise the studies. RESULTS: Twenty-five RCTs were included, comprising a combined cohort of 47,275 patients. Network meta-analysis demonstrated that compared to SGLT2 inhibitors, sacubitril/valsartan achieved a larger hazard rate reduction in the composite of heart failure hospitalisation and cardiovascular death (hazard ratio [HR]: 0.86; 95% CI 0.75-0.98), cardiovascular death (HR: 0.78; 95% CI 0.65-0.94), and a larger mean change in systolic blood pressure at 8 or more months (weighted mean difference [WMD]: - 7.08 mmHg; 95% CI - 8.28 to - 5.89). There were no significant differences in treatment effects across heart failure hospitalisation, all-cause mortality, diastolic blood pressure at 12 weeks, and systolic blood pressure at 2-4 months. In patients with heart failure with reduced ejection fraction, sacubitril/valsartan achieved a 20% hazard rate reduction for cardiovascular death compared to SGLT2 inhibitors. CONCLUSIONS: In patients with heart failure, sacubitril/valsartan was demonstrated to be superior to SGLT2 inhibitors in the treatment effect for the composite of heart failure hospitalisation and cardiovascular death, cardiovascular death, and long-term blood pressure.

Effects of Sodium/Glucose Cotransporter 2 (SGLT2) Inhibitors on Cardiac Imaging Parameters: A Systematic Review and Meta-analysis of Randomized Controlled Trials.

Recent studies have shown that sodium/glucose cotransporter 2 (SGLT2) inhibitors might exert favourable changes on cardiac parameters as observed on cardiovascular imaging. We conducted a systematic review and meta-analysis to determine the effects of SGLT2 inhibitors on cardiac imaging parameters. Four electronic databases (PubMed, Embase, Cochrane, Scopus) were searched for studies in which the effects of SGLT2 inhibitors on cardiac imaging parameters were examined. Studies in which a population was administered SGLT2 inhibitors and analysed by echocardiography and/or cardiac magnetic resonance (CMR) imaging were included. Random-effects pair-wise meta-analysis models were utilized to summarize the studies. A total of 11 randomized controlled trials was included with a combined cohort of 910 patients. Comparing patients receiving SGLT2 inhibitors with subjects receiving placebo, the mean change in CMR-measured left ventricular mass (LVM) was -3.87 g (95% confidence interval [CI], -7.77 to 0.04), that in left ventricular end-systolic volume (LVESV) was -5.96 mL (95% CI, -10.52 to -1.41) for combined LVESV outcomes, that in left atrial volume index (LAVi) was -1.78 mL/m² (95% CI, -3.01 to -0.55) for combined LAVi outcomes, and that in echocardiography-measured E/e' was -0.73 (95% CI, -1.43 to -0.03). Between-group differences were not observed in LVM and LVESV after indexation. The only between-group difference that persisted was for LAVi. Treatment with SGLT2 inhibitors resulted in reduction in LAVi and E/e' on imaging, indicating they might have an effect on outcomes associated with LV diastolic function.