[Overlooked somatic effects of serotoninergic antidepressants]. / Effets somatiques méconnus des antidépresseurs sérotoninergiques.

The mechanism of action of selective serotonin reuptake inhibitors (SSRI) is still not properly established. It is essential to consider their positive and negative side effects before prescribing. In this article, we describe several of these side effects in the context of common pathologies and clinical situations. We discuss their cardioprotective effect and their role in the functional recovery of patients following stroke. We recall the increase in the risk of bleeding when prescribing SSRI concomitantly with antiaggregating and anticoagulant treatments. Prescribing SSRI also increases the risk of fracture and the frequency of hyponatremia. In the context of COPD, the effects of SSRI are more difficult to establish.

Le mécanisme d'action des antidépresseurs inhibiteurs sélectifs de la recapture de la sérotonine (ISRS) n'est toujours pas formellement établi. Il est essentiel de prendre en compte leurs effets secondaires positifs et négatifs pour leur prescription. Dans cet article, nous décrivons plusieurs de ces effets dans le contexte de pathologies et situations cliniques courantes. Nous abordons leur effet cardioprotecteur ainsi que leur rôle dans la récupération fonctionnelle des patients à la suite des accidents vasculaires cérébraux. Nous rappelons la majoration du risque hémorragique lors de la prescription d'ISRS en concomitance de traitements antiagrégants et anticoagulants. La prescription d'ISRS augmente également le risque fracturaire et la fréquence d'une hyponatrémie. Dans le contexte de la bronchopneumopathie chronique obstructive, les effets d'un ISRS sont plus difficiles à établir.

Association between mixed metal exposure and stroke risk in Shanxi Province: a case-control study.

BACKGROUND: Stroke is the second leading cause of death for all human beings and poses a serious threat to human health. Environmental exposure to a mixture of metals may be associated with the occurrence and development of stroke, but the evidence in the Chinese population is not yet conclusive. OBJECTIVES: This study evaluated the association between stroke risk and 13 metals METHODS: Metal concentrations in whole blood samples from 100 stroke cases and 100 controls were measured by ICP-MS. The cumulative impact of mixed metal on stroke risk was investigated by using three statistical models, BKMR, WQS and QGC. RESULTS: The case group had higher concentrations of Mg, Mn, Zn, Se, Sn, and Pb than the control group (p<0.05). BKMR model indicated a correlation between the risk of stroke and exposure to mixed metals. WQS model showed that Mg (27.2 %), Se (25.1 %) and Sn (14.8 %) were positively correlated with stroke risk (OR=1.53; 95 %Cl: 1.03-2.37, p=0.013). The QGC model showed that Mg (49.2 %) was positively correlated with stroke risk, while Ti (31.7 %) was negatively correlated with stroke risk. CONCLUSIONS: Mg may be the largest contributor to the cumulative effect of mixed metal exposure on stroke risk, and the interaction between metals requires more attention. These findings could provide scientific basis for effectively preventing stroke by managing metals in the environment.

Risk of stroke admission after long-term exposure to PM1: Evidence from a large cohort in South China.

BACKGROUND: Limited attention has been paid to the health effects of long-term PM1 exposure on stroke admission. Current investigations exploring the long-term PM exposure effect are largely based on observational studies, and PM generally is not allocated randomly to participants. Using traditional regression models might confuse messaging and hinder policy recommendations for pollution control and disease prevention policies. METHODS: We conducted a cohort study among 36,271 adults from one of the largest cities in China in 2015 and followed up through 2020. Hazard ratios of stroke admissions following long-term PM1 exposure were estimated via a causal inference approach, marginal structural time-varying Cox proportional hazard model, accounting for multiple confounders. Additionally, several sensitivity analyses and impact modification analyses were carried out. RESULTS AND DISCUSSION: Associations with 1 µg/m3 increase in long-term PM1 were identified for total (HR, 1.079; 95 %CI, 1.012-1.151) and ischemic stroke admissions (HR, 1.092; 95 %CI, 1.018-1.171). The harmful associations varied with exposure duration, initially increasing and then decreasing. The 2-3 years cumulative exposure was associated with a 3.3-5.4 % raised risk for total stroke. For every 1 µg/m³ increase in long-term PM1 exposure, females exhibited a higher risk of both total and ischemic stroke (13 % and 16 %) than men (4 % and 5 %). Low-exposure individuals (whose annual PM1 concentrations were under the third quartile among the annual concentrations for all the participants) exhibited greater sensitivity to PM1 effects (total stroke: 1.079 vs. 1.107; ischemic stroke: 1.092 vs. 1.116). The results underline the importance of safeguarding low-exposed people in highly polluted areas and suggest that long-term PM1 exposure may increase stroke admission risk, warranting attention to vulnerable groups.

Long-term exposure to particulate matter pollution and incidence of ischemic and hemorrhagic stroke: A prospective cohort study in Eastern China.

Although epidemiological studies have demonstrated significant associations of long-term exposure to particulate matter (PM) air pollution with stroke, evidence on the long-term effects of PM exposure on cause-specific stroke incidence is scarce and inconsistent. We incorporated 33,282 and 33,868 individuals aged 35-75 years without a history of ischemic or hemorrhagic stroke at the baseline in 2014, who were followed up till 2021. Residential exposures to particulate matter with an aerodynamic diameter less than 2.5 µm (PM2.5) and particulate matter with an aerodynamic diameter less than 10 µm (PM10) for each participant were predicted using a satellite-based model with a spatial resolution of 1 × 1 km. We employed time-varying Cox proportional hazards models to assess the long-term effect of PM pollution on incident stroke. We identified 926 cases of ischemic stroke and 211 of hemorrhagic stroke. Long-term PM exposure was significantly associated with increased incidence of both ischemic and hemorrhagic stroke, with almost 2 times higher risk on hemorrhagic stroke. Specifically, a 10 µg/m³ increase in 3-year average concentrations of PM2.5 was linked to a hazard ratio (HR) of 1.35 (95% confidence interval (CI): 1.18-1.54) for incident ischemic stroke and 1.79 (95% CI: 1.36-2.34) for incident hemorrhagic stroke. The HR related to PM10, though smaller, remained statistically significant, with a HR of 1.25 for ischemic stroke and a HR of 1.51 for hemorrhagic stroke. The excess risks are larger among rural residents and individuals with lower educational attainment. The present cohort study contributed to the mounting evidence on the increased risk of incident stroke associated with long-term PM exposures. Our results further provide valuable evidence on the heightened sensitivity of hemorrhagic stroke to air pollution exposures compared with ischemic stroke.

Risk of Stroke in Women Using Levonorgestrel-Releasing Intrauterine Device for Contraception.

BACKGROUND: The commonly used combined hormonal contraceptives with progestins and ethinylestradiol are associated with an increased risk of ischemic stroke (IS). Progestin-only preparations, including levonorgestrel-releasing intrauterine devices (LG-IUDs), are not associated with an increased risk, and in smaller studies, the risk is even reduced. The risk of intracerebral hemorrhage (ICH) has never been investigated. We studied the risk of IS and ICH in women using LG-IUDs compared with women not using hormonal contraceptives. METHODS: In this Danish historical cohort study (2004-2021), we followed nonpregnant women (18-49 years) registering incident IS and ICH in relation to use of LG-IUDs/nonuse of hormonal contraceptives utilizing Danish high-quality registries with nationwide coverage. Poisson regression models adjusting for age, ethnicity, education, calendar year, and medication use for risk factors were applied. RESULTS: A total of 1 681 611 nonpregnant women contributed 11 971 745 person-years (py) of observation. Mean age at inclusion was 30.0 years; mean length of follow-up was 7.1 years; 2916 women (24.4 per 100 000 py) had IS; 367 (3.1 per 100 000 py) had ICH. Of these, 364 784 were users of LG-IUD contributing 1 720 311 py to the investigation; mean age at start of usage was 34.6 years. Nonusers of hormonal contraceptives contributed 10 251 434 py; mean age at inclusion was 30.0 years. The incidence rate of IS/ICH among LG-IUD users was 19.2/3.0 and among nonusers, it was 25.2/3.1 per 100 000 py. After adjustment, incidence rate ratio for IS was 0.78 (CI, 0.70-0.88), and for ICH it was 0.94 (CI, 0.69-1.28). CONCLUSIONS: The use of LG-IUD was associated with a 22% lower incidence rate of IS without raising the incidence rate of ICH. The finding raises the question of whether levonorgestrel, in addition to its contraceptive properties, could have the potential to prevent IS.

Risk of cardiovascular disease with high-dose versus low-dose use of non-steroidal anti-inflammatory drugs in ankylosing spondylitis.

OBJECTIVE: To investigate the risk of cardiovascular disease (CVD) associated with increasing dose of a non-steroidal anti-inflammatory drug (NSAID) in patients with ankylosing spondylitis (AS). METHODS: Using the Korean National Health Insurance database, patients newly diagnosed with AS without prior CVD between 2010 and 2018 were included in this nationwide cohort study. The primary outcome was CVD, a composite outcome of ischaemic heart disease, stroke or congestive heart failure. Exposure to NSAIDs was evaluated using a time-varying approach. The dose of NSAIDs was considered in each exposure period. Cox proportional hazard regression was used to investigate the risk of CVD associated with NSAID use. RESULTS: Of the 19 775 patients (mean age, 36 years; 75% were male), 19 706 received NSAID treatment. During follow-up period of 98 290 person-years, 1663 cases of CVD occurred including 1157 cases of ischaemic heart disease, 301 cases of stroke and 613 cases of congestive heart failure. Increasing dose of NSAIDs was associated with incident CVD after adjusting for confounders (adjusted HR (aHR) 1.10; 95% CI 1.08 to 1.13). Specifically, increasing dose of NSAIDs was associated with incident ischaemic heart disease (aHR 1.08; 95% CI 1.05 to 1.11), stroke (aHR 1.09; 95% CI 1.04 to 1.15) and congestive heart failure (aHR 1.12; 95% CI 1.08 to 1.16). The association between NSAID dose and higher CVD risk was consistent in different subgroups. CONCLUSION: In a real-world AS cohort, higher dose of NSAID treatment was associated with a higher risk of CVD, including ischaemic heart disease, stroke and congestive heart failure.

Sodium Glucose Transporter 2 Inhibitors Versus Metformin on Cardiovascular and Renal Outcomes in Patients With Diabetes With Low Cardiovascular Risk: A Nationwide Cohort Study.

BACKGROUND: This study investigated whether initial SGLT2 (sodium-glucose cotransporter 2) inhibitor-based treatment is superior to metformin-based regimens as a primary prevention strategy among low-risk patients with diabetes. METHODS AND RESULTS: In this nationwide cohort study, a total of 38 496 patients with diabetes with low cardiovascular risk were identified (age 62.0±11.6 years, men 50%) from January 1 to December 31, 2016. Patients receiving SGLT2 inhibitors-based and metformin-based regimens were 1:2 matched by propensity score. Study outcomes included all-cause mortality, cardiovascular death, hospitalization for heart failure, stroke, and progression to end-stage renal disease. Compared with 1928 patients receiving metformin-based regimens, 964 patients receiving SGLT2 inhibitor-based regimens had similar all-cause mortality (hazard ratio [HR], 0.75 [95% CI, 0.51-1.12]), cardiovascular death (HR, 0.69 [95% CI, 0.25-1.89]), hospitalization for heart failure (HR, 1.06 [95% CI, 0.59-1.92]), stroke (HR, 0.78 [95% CI, 0.48-1.27]), and progression to end-stage renal disease (HR, 0.88 [95% CI, 0.32-2.39]). However, SGLT2 inhibitors were associated with a lower risk of all-cause mortality (HR, 0.47 [95% CI, 0.23-0.99]; P for interaction=0.008) and progression to end-stage renal disease (HR, 0.22 [95% CI, 0.06-0.82]; P for interaction=0.04) in patients under the age of 65. CONCLUSIONS: In comparison to metformin-based regimens, SGLT2 inhibitor-based regimens showed a similar risk of all-cause mortality and adverse cardiorenal events. SGLT2 inhibitors might be considered as first-line therapy in select low-risk patients, for example, younger patients with diabetes.

Effect of menopausal hormonal therapy on cardiovascular risks in Korean postmenopausal women: A nationwide cohort study.

OBJECTIVE: To evaluate the association between menopausal hormonal therapy (MHT) and the risk of cardiovascular disease (CVD), according to various regimens, dosages, routes of administration and starting ages of MHT. DESIGN: A population-based cohort study using the Korean National Health Insurance Services database. SETTING: Nationwide health insurance database. POPULATION: Women who reported entering menopause at an age of ≥40 years with no history of CVD in the national health examination. METHODS: The study population comprised 1 120 705 subjects enrolled between 2002 and 2019, categorised according to MHT status (MHT group, n = 319 007; non-MHT group, n = 801 698). MAIN OUTCOME MEASURES: Incidence of CVD (a composite of myocardial infarction and stroke). RESULTS: The incidence of CVD was 59 266 (7.4%) in the non-MHT group and 17 674 (5.5%) in the MHT group. After adjusting for confounding factors, an increased risk of CVD was observed with the administration of tibolone (hazard ratio, HR 1.143, 95% CI 1.117-1.170), oral estrogen (HR 1.246, 95% CI 1.198-1.295) or transdermal estrogen (HR 1.289, 95% CI 1.066-1.558), compared with the non-MHT group; the risk was based on an increased risk of stroke. The risk trends were consistent regardless of the age of starting MHT or the physicians' specialty. Among tibolone users, a longer period from entering menopause to taking tibolone and the use of any dosage (1.25 or 2.5 mg) were linked with a higher risk of CVD, compared with non-MHT users. CONCLUSIONS: This nationwide cohort study demonstrated an increased risk of CVD, driven mainly by an increased risk of stroke, among tibolone and oral or transdermal estrogen users, compared with that of non-MHT users.

Cost-Effectiveness of Increased Use of Dual Antiplatelet Therapy After High-Risk Transient Ischemic Attack or Minor Stroke.

BACKGROUND: Rates of dual antiplatelet therapy (DAPT) after high-risk transient ischemic attack or minor ischemic stroke (TIAMIS) are suboptimal. We performed a cost-effectiveness analysis to characterize the parameters of a quality improvement (QI) intervention designed to increase DAPT use after TIAMIS. METHODS AND RESULTS: We constructed a decision tree model that compared current national rates of DAPT use after TIAMIS with rates after implementing a theoretical QI intervention designed to increase appropriate DAPT use. The base case assumed that a QI intervention increased the rate of DAPT use to 65% from 45%. Costs (payer and societal) and outcomes (stroke, myocardial infarction, major bleed, or death) were modeled using a lifetime horizon. An incremental cost-effectiveness ratio <$100 000 per quality-adjusted life year was considered cost-effective. Deterministic and probabilistic sensitivity analyses were performed. From the payer perspective, a QI intervention was associated with $9657 in lifetime cost savings and 0.18 more quality-adjusted life years compared with current national treatment rates. A QI intervention was cost-effective in 73% of probabilistic sensitivity analysis iterations. Results were similar from the societal perspective. The maximum acceptable, initial, 1-time payer cost of a QI intervention was $28 032 per patient. A QI intervention that increased DAPT use to at least 51% was cost-effective in the base case. CONCLUSIONS: Increasing DAPT use after TIAMIS with a QI intervention is cost-effective over a wide range of costs and proportion of patients with TIAMIS treated with DAPT after implementation of a QI intervention. Our results support the development of future interventions focused on increasing DAPT use after TIAMIS.

Cardiomyopathy in Patients With Acute Ischemic Stroke and Methamphetamine Use: Relevance for Cardioembolic Stroke and Outcome.

BACKGROUND: Methamphetamine use has emerged as a major risk factor for cardiovascular and cerebrovascular disease in young adults. The aim of this study was to investigate a possible association of methamphetamine use with cardioembolic stroke. METHODS AND RESULTS: We performed a retrospective study of patients with acute ischemic stroke admitted at our medical center between 2019 and 2022. All patients were screened for methamphetamine use and cardiomyopathy, defined as left ventricular ejection fraction ≤45%. Among 938 consecutive patients, 46 (4.9%) were identified as using methamphetamine. Compared with the nonmethamphetamine group (n=892), the methamphetamine group was significantly younger (52.8±9.6 versus 69.7±15.2 years; P<0.001), included more men (78.3% versus 52.8%; P<0.001), and had a significantly higher rate of cardiomyopathy (30.4% versus 14.0%; P<0.01). They were also less likely to have a history of atrial fibrillation (8.7% versus 33.4%; P<0.01) or hyperlipidemia (28.3% versus 51.7%; P<0.01). Compared with patients with cardiomyopathy without methamphetamine use, the patients with cardiomyopathy with methamphetamine use had significantly lower left ventricular ejection fraction (26.0±9.59% versus 32.47±9.52%; P<0.01) but better functional outcome at 3 months, likely attributable to significantly younger age and fewer comorbidities. In the logistic regression model of clinical variables, methamphetamine-associated cardiomyopathy was found to be significantly associated with cardioembolic stroke (odds ratio, 1.79 [95% CI, 1.04-3.06]; P<0.05). CONCLUSIONS: We demonstrate that methamphetamine use is significantly associated with cardiomyopathy and cardioembolic stroke in young adults.

Thrombolysis for Wake-Up Stroke Versus Non-Wake-Up Unwitnessed Stroke: EOS Individual Patient Data Meta-Analysis.

BACKGROUND: Stroke with unknown time of onset can be categorized into 2 groups; wake-up stroke (WUS) and unwitnessed stroke with an onset time unavailable for reasons other than wake-up (non-wake-up unwitnessed stroke, non-WUS). We aimed to assess potential differences in the efficacy and safety of intravenous thrombolysis (IVT) between these subgroups. METHODS: Patients with an unknown-onset stroke were evaluated using individual patient-level data of 2 randomized controlled trials (WAKE-UP [Efficacy and Safety of MRI-Based Thrombolysis in Wake-Up Stroke], THAWS [Thrombolysis for Acute Wake-Up and Unclear-Onset Strokes With Alteplase at 0.6 mg/kg]) comparing IVT with placebo or standard treatment from the EOS (Evaluation of Unknown-Onset Stroke Thrombolysis trial) data set. A favorable outcome was prespecified as a modified Rankin Scale score of 0 to 1 at 90 days. Safety outcomes included symptomatic intracranial hemorrhage at 22 to 36 hours and 90-day mortality. The IVT effect was compared between the treatment groups in the WUS and non-WUS with multivariable logistic regression analysis. RESULTS: Six hundred thirty-four patients from 2 trials were analyzed; 542 had WUS (191 women, 272 receiving alteplase), and 92 had non-WUS (42 women, 43 receiving alteplase). Overall, no significant interaction was noted between the mode of onset and treatment effect (P value for interaction=0.796). In patients with WUS, the frequencies of favorable outcomes were 54.8% and 45.5% in the IVT and control groups, respectively (adjusted odds ratio, 1.47 [95% CI, 1.01-2.16]). Death occurred in 4.0% and 1.9%, respectively (P=0.162), and symptomatic intracranial hemorrhage in 1.8% and 0.3%, respectively (P=0.194). In patients with non-WUS, no significant difference was observed in favorable outcomes relative to the control (37.2% versus 29.2%; adjusted odds ratio, 1.76 [0.58-5.37]). One death and one symptomatic intracranial hemorrhage were reported in the IVT group, but none in the control. CONCLUSIONS: There was no difference in the effect of IVT between patients with WUS and non-WUS. IVT showed a significant benefit in patients with WUS, while there was insufficient statistical power to detect a substantial benefit in the non-WUS subgroup. REGISTRATION: URL: https://www.clinicaltrials.gov; Unique identifier: CRD42020166903.

When anticoagulation management in atrial fibrillation becomes difficult: Focus on chronic kidney disease, coagulation disorders, and cancer.

Anticoagulation therapy (AT) is fundamental in atrial fibrillation (AF) treatment but poses challenges in implementation, especially in AF populations with elevated thromboembolic and bleeding risks. Current guidelines emphasize the need to estimate and balance thrombosis and bleeding risks for all potential candidates of antithrombotic therapy. However, administering oral AT raises concerns in specific populations, such as those with chronic kidney disease (CKD), coagulation disorders, and cancer due to lack of robust data. These groups, excluded from large direct oral anticoagulants trials, rely on observational studies, prompting physicians to adopt individualized management strategies based on case-specific evaluations. The scarcity of evidence and specific guidelines underline the need for a tailored approach, emphasizing regular reassessment of risk factors and anticoagulation drug doses. This narrative review aims to summarize evidence and recommendations for challenging AF clinical scenarios, particularly in the long-term management of AT for patients with CKD, coagulation disorders, and cancer.

Optimizing warfarin dosing for patients with atrial fibrillation using machine learning.

While novel oral anticoagulants are increasingly used to reduce risk of stroke in patients with atrial fibrillation, vitamin K antagonists such as warfarin continue to be used extensively for stroke prevention across the world. While effective in reducing the risk of strokes, the complex pharmacodynamics of warfarin make it difficult to use clinically, with many patients experiencing under- and/or over- anticoagulation. In this study we employed a novel implementation of deep reinforcement learning to provide clinical decision support to optimize time in therapeutic International Normalized Ratio (INR) range. We used a novel semi-Markov decision process formulation of the Batch-Constrained deep Q-learning algorithm to develop a reinforcement learning model to dynamically recommend optimal warfarin dosing to achieve INR of 2.0-3.0 for patients with atrial fibrillation. The model was developed using data from 22,502 patients in the warfarin treated groups of the pivotal randomized clinical trials of edoxaban (ENGAGE AF-TIMI 48), apixaban (ARISTOTLE) and rivaroxaban (ROCKET AF). The model was externally validated on data from 5730 warfarin-treated patients in a fourth trial of dabigatran (RE-LY) using multilevel regression models to estimate the relationship between center-level algorithm consistent dosing, time in therapeutic INR range (TTR), and a composite clinical outcome of stroke, systemic embolism or major hemorrhage. External validation showed a positive association between center-level algorithm-consistent dosing and TTR (R2 = 0.56). Each 10% increase in algorithm-consistent dosing at the center level independently predicted a 6.78% improvement in TTR (95% CI 6.29, 7.28; p < 0.001) and a 11% decrease in the composite clinical outcome (HR 0.89; 95% CI 0.81, 1.00; p = 0.015). These results were comparable to those of a rules-based clinical algorithm used for benchmarking, for which each 10% increase in algorithm-consistent dosing independently predicted a 6.10% increase in TTR (95% CI 5.67, 6.54, p < 0.001) and a 10% decrease in the composite outcome (HR 0.90; 95% CI 0.83, 0.98, p = 0.018). Our findings suggest that a deep reinforcement learning algorithm can optimize time in therapeutic range for patients taking warfarin. A digital clinical decision support system to promote algorithm-consistent warfarin dosing could optimize time in therapeutic range and improve clinical outcomes in atrial fibrillation globally.