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EN
Only few follow-up studies have studied in detail the role of most important risk factors, but no reports were found on critical values (cut-offs) for such factors in prospectively predicting cerebrovascular events (CVE) in patients with minor ischaemic stroke (MIS). Estimates of predictive importance of such cut-offs may better inform and contribute to optimize treatment. This was a post-hoc modelling study with unique data from Bulgaria on 54 consecutive patients with MIS, aged ł 40, followed for 12 months for nonfatal or fatal CV events. A set of routine clinical demographic and known risk factors (SBP, DBP, HDL cholesterol, etc.) were explored using univariate statistics and multivariate regression models to identify the most important independent predictors of secondary CVE. An artificial neural network (ANN) model, irrespective of usual statistical constraints, also confirmed the specific role and importance of identified predictors. A receiver operating characteristics (ROC) curve and stratified survival analyses were used to define the best cut-off of most important predictors and validate the final model. During follow-up period of 11.1±2.4 months, 8 secondary CV events (14.8%) were observed only in males with MIS at the 5.8±2.7 months mark. No difference in age of patients with CV event (61.1±12.6 years) vs. those without (62.1±9.6 years) was found (p>0.05). The one-year risk for CVE was.15% (95%CI 7.1, 27.7%). The two most important risk factors in patients with versus without CV events were acute MIS onset (62.5 vs. 13.0%) and mean DBP at day 30 post-MIS (101.3±9.9 vs. 92.3±10.8 mmHg), with a relative importance by ANN of 20.92 versus 15.9 points, respectively. At multivariate logistic analysis only MIS onset and DBP were independently associated with the risk for secondary CVE (79.6% model accuracy, p model=0.0015). An increase of DBP with 1 mmHg was associated with 8% higher risk of CVE [adjusted OR=1.08 (95%Cl 1.004, 1.158)]. With this method, a novel cut-off predictive DBP value of 95 mmHg (ROCAUC=0.79, 95%Cl 0.60, 0.99, p=0.009) for CV events in patients with MIS has been found. In conclusions the new DBP cut-off (sensitivity >87%, specificity >69%) clearly discriminated between absence and presence of secondary CVE as also confirmed by stratified survival analysis (7 vs. 1 events, plog-rank =0.0103). This cut-off may be applied to better precisely evaluate and define, as earlier as possible, MIS patients at increased risk of secondary CV events.
EN
Subarachnoid hemorrhage (SAH) occurs primarily during early to mid-adulthood; approximately 30% of individuals with SAH die within 2 weeks, and mortality is 30% to 45%. SAH happens suddenly, without patients being aware of previous heart abnormalities. Here, we performed a pilot single cohort (historical) study to examine the hypothesis that early abnormal electrocardiographic (ECG) changes may reveal unknown but “silent” heart pathologies in SAH patients without previous heart disease (PHD). Data were collected retrospectively on 56 consecutive patients during the acute phase of SAH (29 men, 27 women; mean age 49.0 ± 6.2 years) with different degrees of neurologic deficit (Hunt-Hess scale assessment) in a 2-year period single-cohort study. Repolarization abnormalities were most frequent (p<0.05) and were independent of a history of PHD, although it corresponded to a higher risk for such abnormalities (odds ratio OR=3.21; CI95%=1.01–10.22). ECG changes in patients without PHD were similar to those in PHD patients, confirming the hypothesis that SAH is associated with previously “silent” heart pathology. The increased frequency of ECG changes in PHD patients and their high incidence in no-PHD patients suggested a neurogenic form of myocardial dysfunction following SAH. Notably, repolarization changes were more frequent in patients with less severe deficit (p<0.05), whereas rhythm and conductive abnormalities were more frequent in patients with more severe neurologic deficit.
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