Risk of Stroke Among Older Medicare Antidepressant Users With Traumatic Brain Injury

Traumatic brain injury persistently increases the incidence of both ischemic and hemorrhagic strokes: Potential mechanisms

Traumatic brain injuries (TBI) significantly increase the risk of both ischemic and hemorrhagic strokes, with effects persisting for years after the initial injury. The mechanisms underlying this increased stroke risk are complex, multifactorial, and incompletely understood but likely include chronic cerebrovascular dysfunction, blood-brain barrier disruption, and inflammatory responses. Epidemiological studies consistently show that TBI is an independent risk factor for stroke, with more severe injuries associated with greater risk, especially for hemorrhagic strokes. Traditional risk factors for stroke, such as hypertension, poor diet, and sedentary lifestyle, further elevate the risk in TBI survivors. Modifiable lifestyle factors, such as improving sleep, increasing physical activity, and adopting heart-healthy diets, offer potential intervention points to mitigate stroke risk. Pharmacological considerations, including the use of antidepressants, anticoagulants, and statins, also influence stroke risk, particularly with regard to hemorrhagic complications. This review explores the pathophysiological mechanisms linking TBI and stroke, emphasizing the need for future research to identify specific biomarkers and imaging techniques to predict stroke vulnerability in TBI patients. Addressing the gaps in understanding, particularly regarding small vessel pathology, will be essential to developing targeted therapies for reducing stroke incidence in TBI survivors.

Impact of depression on in-hospital outcomes for adults with type 2 myocardial infarction: A United States population-based analysis

BACKGROUND

Type 2 myocardial infarction (T2MI) is an ischemic myocardial injury in the context of oxygen supply/demand mismatch in the absence of a primary coronary event. However, though there is a rising prevalence of depression and its potential association with type 1 myocardial infarction (T1MI), data remains non-existent to evaluate the association with T2MI.

AIM

To identify the prevalence and risk of T2MI in adults with depression and its impact on the in-hospital outcomes.

METHODS

We queried the National Inpatient Sample (2019) to identify T2MI hospitalizations using Internal Classification of Diseases-10 codes in hospitalized adults (≥ 18 years). In addition, we compared sociodemographic and comorbidities in the T2MI cohort with vs without comorbid depression. Finally, we used multivariate regression analysis to study the odds of T2MI hospitalizations with vs without depression and in-hospital outcomes (all-cause mortality, cardiogenic shock, cardiac arrest, and stroke), adjusting for confounders. Statistical significance was achieved with a P value of < 0.05.

RESULTS

There were 331145 adult T2MI hospitalizations after excluding T1MI (median age: 73 years, 52.8% male, 69.9% white); 41405 (12.5%) had depression, the remainder; 289740 did not have depression. Multivariate analysis revealed lower odds of T2MI in patients with depression vs without [adjusted odds ratio (aOR) = 0.88, 95% confidence interval (CI): 0.86-0.90, P = 0.001]. There was the equal prevalence of prior MI with any revascularization and a similar prevalence of peripheral vascular disease in the cohorts with depression vs without depression. There is a greater prevalence of stroke in patients with depression (10.1%) vs those without (8.6%). There was a slightly higher prevalence of hyperlipidemia in patients with depression vs without depression (56.5% vs 48.9%), as well as obesity (21.3% vs 17.9%). There was generally equal prevalence of hypertension and type 2 diabetes mellitus in both cohorts. There was no significant difference in elective and non-elective admissions frequency between cohorts. Patients with depression vs without depression also showed a lower risk of all-cause mortality (aOR = 0.75, 95%CI: 0.67-0.83, P = 0.001), cardiogenic shock (aOR = 0.65, 95%CI: 0.56-0.76, P = 0.001), cardiac arrest (aOR = 0.77, 95%CI: 0.67-0.89, P = 0.001) as well as stroke (aOR = 0.79, 95%CI: 0.70-0.89, P = 0.001).

CONCLUSION

This study revealed a significantly lower risk of T2MI in patients with depression compared to patients without depression by decreasing adverse in-hospital outcomes such as all-cause mortality, cardiogenic shock, cardiac arrest, and stroke in patients with depression.

Bidirectional associations between mental disorders, antidepressants and cardiovascular disease

BACKGROUND

Mental disorders have a high comorbidity with cardiovascular disease (CVD), but the causality between them has not been fully appreciated.

OBJECTIVE

This study aimed to systematically explore the bidirectional causality between the two broad categories of diseases.

METHODS

We conducted Mendelian randomisation (MR) and multivariable MR (MVMR) analyses to evaluate potential causal links between 10 mental disorders, the use of antidepressants and 7 CVDs.

FINDINGS

We discovered that major depressive disorder (MDD), attention-deficit/hyperactivity disorder (ADHD) and insomnia exhibit connections with elevated risks of two or more CVDs. Moreover, the use of antidepressants is linked to heightened risks of each CVD. Each distinct CVD is correlated with a greater probability of taking antidepressants. Our MVMR analysis demonstrated that the use of antidepressants is correlated with the elevation of respective risks across all cardiovascular conditions. This includes arrhythmias (OR: 1.28), atrial fibrillation (OR: 1.44), coronary artery disease (OR: 1.16), hypertension (OR: 1.16), heart failure (OR: 1.16), stroke (OR: 1.44) and entire CVD group (OR: 1.35). However, MDD itself was not linked to a heightened risk of any CVD.

CONCLUSIONS

The findings of our study indicate that MDD, insomnia and ADHD may increase the risk of CVD. Our findings highlight the utilisation of antidepressants as an independent risk factor for CVD, thus explaining the influence of MDD on CVD through the mediating effects of antidepressants.

CLINICAL IMPLICATIONS

When treating patients with antidepressants, it is necessary to take into consideration the potential beneficial and detrimental effects of antidepressants.

Stroke risk following traumatic brain injury: Systematic review and meta-analysis

Background

Traumatic brain injury is a global health problem; worldwide, >60 million people experience a traumatic brain injury each year and incidence is rising. Traumatic brain injury has been proposed as an independent risk factor for stroke.

Aims

To investigate the association between traumatic brain injury and stroke risk.

Summary of review

We undertook a systematic review of MEDLINE, EMBASE, CINAHL, and The Cochrane Library from inception to 4 December 2020. We used random-effects meta-analysis to pool hazard ratios for studies which reported stroke risk post-traumatic brain injury compared to controls. Searches identified 10,501 records; 58 full texts were assessed for eligibility and 18 met the inclusion criteria. The review included a large sample size of 2,606,379 participants from four countries. Six studies included a non-traumatic brain injury control group, all found traumatic brain injury patients had significantly increased risk of stroke compared to controls (pooled hazard ratio 1.86; 95% confidence interval 1.46–2.37). Findings suggest stroke risk may be highest in the first four months post-traumatic brain injury, but remains significant up to five years post-traumatic brain injury. Traumatic brain injury appears to be associated with increased stroke risk regardless of severity or subtype of traumatic brain injury. There was some evidence to suggest an association between reduced stroke risk post-traumatic brain injury and Vitamin K antagonists and statins, but increased stroke risk with certain classes of antidepressants.

Conclusion

Traumatic brain injury is an independent risk factor for stroke, regardless of traumatic brain injury severity or type. Post-traumatic brain injury review and management of risk factors for stroke may be warranted.

Antidepressant drug use and subdural hematoma risk

BACKGROUND

Selective serotonin reuptake inhibitors (SSRIs) use may be associated with development of subdural hematoma (SDH).

OBJECTIVES

To estimate SDH risk associated with antidepressant use, including when combined with antithrombotics, or nonsteroidal anti-inflammatory drugs (NSAIDs).

PATIENTS/METHODS

We performed this case-control study based on Danish registries. We included 10 885 incident cases of SDH and 435 379 matched general population controls. We calculated odds ratios (95% confidence interval) adjusted for comorbidity, co-medication, education level, and income (aOR).

RESULTS

We found that current use of SSRIs (aOR1.32 [1.25-1.38]) and non-SSRIs (aOR 1.19 [1.13-1.26]) was associated with a higher SDH risk, compared with non-use of antidepressants. Risks were higher with short duration of current use (eg, <1 month of current use: aOR 2.55 [2.07-3.15] for SSRI, 1.88 [1.46-2.41] for non-SSRIs; >3 years of current use: 1.04 [0.93-1.17] for SSRI and 1.12 [0.98-1.28] for non-SSRIs). Combined use of antidepressants with either antithrombotics or NSAIDs yielded similar ORs to those observed for single use of antithrombotics or NSAIDs. Stronger associations were observed for antidepressants combined with both vitamin K antagonists (VKAs) and NSAIDs (SSRI, VKA, & NSAID: aOR 5.51 [2.70-11-22]; non-SSRI, VKA, & NSAID: 6.81 [2.37-19-60]).

CONCLUSIONS

Antidepressant use was associated with higher risk of SDH that seemed largely restricted to first year of treatment. In absolute terms this risk is judged to be small, given the low SDH incidence rate. With one possible exception (triple use of antidepressants, NSAIDs, and VKAs), risk estimates of SDH for combined regimens of antidepressants with antithrombotics or NSAIDs provided little evidence of interactions.

Mortality and Associated Morbidities Following Traumatic Brain Injury in Older Medicare Statin Users

OBJECTIVE

To assess the relationship between posttraumatic brain injury statin use and (1) mortality and (2) the incidence of associated morbidities, including stroke, depression, and Alzheimer's disease and related dementias following injury.

SETTING AND PARTICIPANTS

Nested cohort of all Medicare beneficiaries 65 years of age and older who survived a traumatic brain injury (TBI) hospitalization during 2006 through 2010. The final sample comprised 100 515 beneficiaries.

DESIGN

Retrospective cohort study of older Medicare beneficiaries. Relative risks (RR) and 95% confidence interval (CI) were obtained using discrete time analysis and generalized estimating equations.

MEASURES

The exposure of interest included monthly atorvastatin, fluvastatin, lovastatin, pravastatin, rosuvastatin, and simvastatin use. Outcomes of interest included mortality, stroke, depression, and Alzheimer's disease and related dementias.

RESULTS

Statin use of any kind was associated with decreased mortality following TBI hospitalization discharge. Any statin use was also associated with a decrease in any stroke (RR, 0.86; 95% confidence intervals (CI), 0.81-0.91), depression (RR, 0.85; 95% CI, 0.79-0.90), and Alzheimer's disease and related dementias (RR, 0.77; 95% CI, 0.73-0.81).

CONCLUSION

These findings provide valuable information for clinicians treating older adults with TBI as clinicians can consider, when appropriate, atorvastatin and simvastatin to older adults with TBI in order to decrease mortality and associated morbidities.

The impact of selective serotonin reuptake inhibitors on the risk of intracranial haemorrhage: A systematic review and meta-analysis

Introduction

Observational studies have suggested increased risk of intracranial haemorrhage (ICrH) in patients receiving selective serotonin reuptake inhibitors (SSRIs). We sought to clarify the impact of SSRIs on ICrH, accounting for study methodology.

Patients and methods

A comprehensive search of Medline, Embase and the Cochrane Library from 1960 to December 2017 identified studies comparing SSRIs with control. The outcomes (first-ever and recurrent ICrH) were meta-analysed using a random effects model.

Results

Twenty-four observational studies and three randomised trials were available for meta-analysis, totalling 4,844,090 patient-years of follow-up. Those receiving SSRIs were more likely to be female (p = 0.01) and have depression (p < 0.001). Compared to controls, SSRI users had a significantly increased risk of ICrH (relative risk (RR) 1.26, 95%CI 1.11-1.42). Although SSRI use was associated with increased ICrH risk in those without previous ICrH (RR 1.31, 95%CI 1.15-1.48), this was not the case in those with previous ICrH (RR 0.95, 95%CI 0.83-1.09). Sensitivity analysis according to the bleeding definition reported demonstrated that although 'haemorrhagic stroke' was associated with SSRIs (RR 1.40, 95%CI 1.13-1.72), intracerebral haemorrhage was not (RR 1.11, 95%CI 0.86-1.42). Additional sensitivity analyses demonstrated a stronger association between SSRIs and ICrH in studies with a high (p < 0.001) compared to low risk of bias (p = 0.09) and with retrospective (p < 0.001) compared to prospective (p=0.31) study designs.

Discussion

Although SSRIs are associated with an increased risk of ICrH, the association is partly accounted for by important biases and other methodological limitations in the available observational data.

Conclusion

Our findings suggest there is insufficient high-quality data to advise restriction of SSRIs because of concern regarding ICrH risk.

Geriatric Traumatic Brain Injury: Epidemiology, Outcomes, Knowledge Gaps, and Future Directions

This review of the literature on traumatic brain injury (TBI) in older adults focuses on incident TBI sustained in older adulthood ("geriatric TBI") rather than on the separate, but related, topic of older adults with a history of earlier-life TBI. We describe the epidemiology of geriatric TBI, the impact of comorbidities and pre-injury function on TBI risk and outcomes, diagnostic testing, management issues, outcomes, and critical directions for future research. The highest incidence of TBI-related emergency department visits, hospitalizations, and deaths occur in older adults. Higher morbidity and mortality rates among older versus younger individuals with TBI may contribute to an assumption of futility about aggressive management of geriatric TBI. However, many older adults with TBI respond well to aggressive management and rehabilitation, suggesting that chronological age and TBI severity alone are inadequate prognostic markers. Yet there are few geriatric-specific TBI guidelines to assist with complex management decisions, and TBI prognostic models do not perform optimally in this population. Major barriers in management of geriatric TBI include under-representation of older adults in TBI research, lack of systematic measurement of pre-injury health that may be a better predictor of outcome and response to treatment than age and TBI severity alone, and lack of geriatric-specific TBI common data elements (CDEs). This review highlights the urgent need to develop more age-inclusive TBI research protocols, geriatric TBI CDEs, geriatric TBI prognostic models, and evidence-based geriatric TBI consensus management guidelines aimed at improving short- and long-term outcomes for the large and growing geriatric TBI population.

In-Hospital Mortality Following Traumatic Brain Injury Among Older Medicare Beneficiaries, Comparing Statin Users With Nonusers

Background

Traumatic brain injury (TBI) is a significant public health concern for older adults. Small-scale human studies have suggested pre-TBI statin use is associated with decreased in-hospital mortality following TBI, highlighting the need for large-scale translational research.

Objective

To investigate the relationship between pre-TBI statin use and in-hospital mortality following TBI.

Methods

A retrospective study of Medicare beneficiaries 65 and older hospitalized with a TBI during 2006 to 2010 was conducted to assess the impact of pre-TBI statin use on in-hospital mortality following TBI. Exposure of interest included atorvastatin, fluvastatin, lovastatin, pravastatin, rosuvastatin, and simvastatin. Beneficiaries were classified as current, recent, past, and nonusers of statins prior to TBI. The outcome of interest was in-hospital mortality. Logistic regression was used to obtain odds ratios (ORs) and 95% confidence intervals (CIs) comparing current, recent, and prior statin use to nonuse.

Results

Most statin users were classified as current users (90%). Current atorvastatin (OR = 0.88; 95% = CI 0.82, 0.96), simvastatin (OR = 0.84; 95% CI = 0.79, 0.91), and rosuvastatin (OR = 0.79; 95% CI = 0.67, 0.94) use were associated with a significant decrease in the risk of in-hospital mortality following TBI.

Conclusions

In addition to being the most used statins, current use of atorvastatin, rosuvastatin, and simvastatin was associated with a significant decrease in in-hospital mortality following TBI among older adults. Future research must include clinical trials to help exclude the possibility of a healthy user effect in order to better understand the impact of statin use on in-hospital mortality following TBI.