Diabetes mellitus is a significant risk factor for both ischaemic and haemorrhagic stroke, affecting up to a third of individuals with cerebrovascular diseases. Beyond being a risk factor for stroke, diabetes and hyperglycaemia have a negative impact on outcomes after ischaemic and haemorrhagic stroke. Hyperglycaemia during the acute ischaemic stroke phase is associated with a higher risk of haemorrhagic transformation and poor functional outcome, with evidence in favour of early intervention to limit and manage severe hyperglycaemia. Similarly, intensive glucose control nested in a broader bundle of care, including blood pressure, coagulation and temperature control, can provide substantial benefit for clinical outcomes after haemorrhagic stroke. As micro- and macrovascular complications are frequent in people with diabetes, cardiovascular prevention strategies also need to consider tailored treatment. In this regard, the broader availability of sodium–glucose cotransporter 2 inhibitors and glucagon-like peptide 1 receptor agonists can allow tailored treatments, particularly for those with heart failure and chronic kidney disease as comorbidities. Here, we review the main concepts of hyperacute stroke management and CVD prevention among people with diabetes, capitalising on results from large studies and RCTs to inform clinicians on preferred treatments. Graphical Abstract

Background: Randomized controlled trials (RCTs) proved that short-term (21–90 days) dual antiplatelet therapy (DAPT) reduces the risk of early ischemic recurrences after a noncardioembolic minor stroke or high-risk transient ischemic attack (TIA) without substantially increasing the hemorrhagic risk. We aimed at understanding whether and how real-world use of DAPT differs from RCTs. Methods: READAPT (Real-Life Study on Short-Term Dual Antiplatelet Treatment in Patients With Ischemic Stroke or TIA) is a prospective cohort study including >18-year-old patients treated with DAPT after a noncardioembolic minor ischemic stroke or high-risk TIA from 51 Italian centers. The study comprises a 90-day follow-up from symptom onset. In the present work, we reported descriptive statistics of baseline data of patients recruited up to July 31, 2022, and proportions of patients who would have been excluded from RCTs. We compared categorical data through the χ² test. Results: We evaluated 1070 patients, who had 72 (interquartile range, 62–79) years median age, were mostly Caucasian (1045; 97.7%), and were men (711; 66.4%). Among the 726 (67.9%) patients with ischemic stroke, 226 (31.1%) did not meet the RCT inclusion criteria because of National Institutes of Health Stroke Scale score >3 and 50 (6.9%) because of National Institutes of Health Stroke Scale score >5. Among the 344 (32.1%) patients with TIA, 69 (19.7%) did not meet the RCT criteria because of age, blood pressure, clinical features, duration of TIA, presence of diabetes score <4 and 252 (74.7%) because of age, blood pressure, clinical features, duration of TIA, presence of diabetes score 24 hours) DAPT initiation; 776 (72.5%) and 676 (63.2%) patients did not take loading doses of aspirin and clopidogrel, respectively. Overall, 84 (7.8%) patients met the RCT inclusion/exclusion criteria. Conclusions: The real-world use of DAPT is broader than RCTs. Most patients did not meet the RCT criteria because of the severity of ischemic stroke, lower risk of TIA, late DAPT start, or lack of antiplatelet loading dose. Registration: URL: https://www.clinicaltrials.gov ; Unique identifier: NCT05476081.

Background and aims To investigate the prognostic value of blood neurofilament light chain protein (NfL) levels in the acute phase of coronavirus disease 2019 (COVID-19). Methods We conducted an individual participant data (IPD) meta-analysis after screening on MEDLINE and Scopus to May 23rd 2022. We included studies with hospitalized adult COVID-19 patients without major COVID-19-associated central nervous system (CNS) manifestations and with a measurement of blood NfL in the acute phase as well as data regarding at least one clinical outcome including intensive care unit (ICU) admission, need of mechanical ventilation (MV) and death. We derived the age-adjusted measures NfL Z scores and conducted mixed-effects modelling to test associations between NfL Z scores and other variables, encompassing clinical outcomes. Summary receiver operating characteristic curves (SROCs) were used to calculate the area under the curve (AUC) for blood NfL. Results We identified 382 records, of which 7 studies were included with a total of 669 hospitalized COVID-19 cases (mean age 66.2 ± 15.0 years, 68.1% males). Median NfL Z score at admission was elevated compared to the age-corrected reference population (2.37, IQR: 1.13–3.06, referring to 99th percentile in healthy controls). NfL Z scores were significantly associated with disease duration and severity. Higher NfL Z scores were associated with a higher likelihood of ICU admission, need of MV, and death. SROCs revealed AUCs of 0.74, 0.80 and 0.71 for mortality, need of MV and ICU admission, respectively. Conclusions Blood NfL levels were elevated in the acute phase of COVID-19 patients without major CNS manifestations and associated with clinical severity and poor outcome. The marker might ameliorate the performance of prognostic multivariable algorithms in COVID-19.

Background: We investigated incidence and outcome of spontaneous intracerebral hemorrhage (ICH) in a population‐based stroke registry and provided data to inform on the figures of the disease in women and in men. Methods and Results: Our prospective population‐based registry included patients with first‐ever ICH occurring from January 2011 to December 2020. Incidence rates were standardized to the 2011 Italian and European population, and incidence rate ratios were calculated. Multivariate hazard ratios for 30‐day and 1‐year fatality were estimated with Cox regression, including components of the ICH score and sex. We included 748 first‐ever ICHs (41.3% women). Women were significantly older than men at ICH onset (78.9±12.6 versus 73.2±13.6 years; P <0.001) and showed higher clinical severity on presentation (median National Institutes of Health Stroke Scale score, 11 [interquartile range, 6–20] versus 9 [interquartile range, 4–15], respectively; P =0.016). The crude annual incidence rate was 20.2 (95% CI, 18.0–22.6) per 100 000 person‐years in women and 30.2 (95% CI, 27.4–33.2) per 100 000 person‐years in men); incidence was lower in women versus men (incidence rate ratio, 0.67 [95% CI, 0.58–0.78]; P <0.001) and did not change over time in both sexes ( P for trend=0.073 and 0.904, respectively). Unadjusted comparison showed higher 1‐year case‐fatality rates in women versus men (48.5% versus 40.1%; P =0.026). After adjusting for components of the ICH score, female sex lost significance as a predictor of mortality. Conclusions: We found lower ICH incidence in women than in men. However, women showed a higher 1‐year case‐fatality rate versus men, which was likely related to older age at ICH onset and higher clinical severity. Identification of factors explaining the reported differences is important to develop targeted interventions.