Faculty of Medicine

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    Short‐ and long‐term outcome and predictors in an international cohort of patients with neuro‐COVID‐19
    (Wiley, 2022-03-07)
    Beghi, Ettore
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    Helbok, Raimund
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    Ozturk, Serefnur
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    Karadas, Omer
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    Lisnic, Vitalie
    Background and purpose: Despite the increasing number of reports on the spectrum of neurological manifestations of COVID-19 (neuro-COVID), few studies have assessed short- and long-term outcome of the disease. Methods: This is a cohort study enrolling adult patients with neuro-COVID seen in neurological consultation. Data were collected prospectively or retrospectively in the European Academy of Neurology NEuro-covid ReGistrY ((ENERGY). The outcome at discharge was measured using the modified Rankin Scale and defined as 'stable/improved' if the modified Rankin Scale score was equal to or lower than the pre-morbid score, 'worse' if the score was higher than the pre-morbid score. Status at 6 months was also recorded. Demographic and clinical variables were assessed as predictors of outcome at discharge and 6 months. Results: From July 2020 to March 2021, 971 patients from 19 countries were included. 810 (83.4%) were hospitalized. 432 (53.3%) were discharged with worse functional status. Older age, stupor/coma, stroke and intensive care unit (ICU) admission were predictors of worse outcome at discharge. 132 (16.3%) died in hospital. Older age, cancer, cardiovascular complications, refractory shock, stupor/coma and ICU admission were associated with death. 262 were followed for 6 months. Acute stroke or ataxia, ICU admission and degree of functional impairment at discharge were predictors of worse outcome. 65/221 hospitalized patients (29.4%) and 10/32 non-hospitalized patients (24.4%) experienced persisting neurological symptoms/signs. 10/262 patients (3.8%) developed new neurological complaints during the 6 months of follow-up. Conclusions: Neuro-COVID is a severe disease associated with worse functional status at discharge, particularly in older subjects and those with comorbidities and acute complications of infection.
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    Predictors of early rehospitalization in patients with acute coronary syndrome
    (2014-10)
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    Chaparovska Emilija
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    Pocesta Bekim
    ;
    Shehu Enes
    Purpose:To analyze early rehospitalization rate (defined as 90 days after the acute event) in patients with ACS, and to identify predictors of risk for readmission. Methods:463 randomly selected patients with ACS,were retrospectively analyzed.Analyzed variables:type of ACS(STEMI/NSTEMI/APNS),location of MI,gender,age,risk factors:HTA,HLP,DM,COPD,CAD,PVD,CVD,EF,type of treatment(PCI vs. noninvasive),extensiveness of coronary disease,GRACE and TIMI risk score, type of morbidity,and reason for rehospitalization.Comparative analysis was performed between patients with early rehospitalisation and others.Statistical analysis:t-test,Chi square,univariate and multivariate linear regression. Results:463 patients were enrolled:68.9% males mean age 60.4±10.9, and 31.1% females mean age 64.94±12.0(p 0.000).MI type:STEMI 75.8%,NSTEMI 11.2%,APNS 13%; MI location:40.2% anterior,39,7% inferior,3% lateral and 3.7% multiple locations(p 0.000).Risk profile:15.3% HCAD,27% HF,62% HTA,28.1% DM,5.8% PVD,2.6% COPD.Mean BMI was 27±2.9,mean SBP 138.8±28.5mmHg,mean HR 84.3±24.2,mean EF (in 208 pts.) 50.2±10.4%, mean GRACE score(in 72 pts.) was 148.9±60.6,mean TIMI score(in 263 pts.) was 3.9±2.3. 87.5% were treated with PCI procedure, with mean disease’s CA 1.84(range 1-5), median 1(p 0.000). Hospital morbidity was present in 16% of pts.,6.9% minor, 3% major bleeding complications, 2.4% acute HF, 1.9% pericardial effusion, and 1.1% early stent thrombosis.Early rehospitalization rate was 6.3% (29/463):14 ischemic/trombotic events;9 acute heart failures, 3 malignant arrhythmias, and three fatal events. Univariate predictors of RH: HR(R square 0.014, p 0.014, beta .116, r -.217, p 0.002);EF(%) (R square 0.055, p 0.001, beta -.234, r -.231, p 0.001).HTA was significantly associated with reduced hospitalization risk (Chi square 4.28, p 0.039, exp B .405, p 0.054),diabetes(Chi square 10.04, p 0.002, exp B 3.45, p 0.001),PVD (expB 2.85, p 0.070),early in-hospital morbidity(expB 2.12, p 0.084),and NSTEMI pts. had OR 1.3, and APNS pts. OR 1.16 for rehospitalization(higher but not significantly in comparison to STEMI pts.). Multivariate model with variables that were found significantly associated with HR, identified two strong independent predictors of early rehospitalization(mean square.424, sig 0.000),EF(beta -.220, p 0.001),and diabetes(t 2.52, p 0.012) Conclusions:LV systolic dysfunction was again proven to be a strong predictor of clinical outcome in terms of early hospital readmission in ACS patients no matter how they were treated for ACS, and diabetes was the single strong independent predictor-risk factor for this event.
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    Prognosticators of heart failure in patients after treatment because of acute coronary syndrome
    (2016-05)
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    Bekim Pocesta
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    Gorjan Krstevski
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    Hajber Taravari
    Aim of the study was to identify frequency and predictors of heart failure in patients treated for acute coronary syndrome (ACS). Patients and methods: Patients with ACS treated medically or with PCI, were extracted from the hospital registry. Analyzed variables: age, gender, risk factors, SBP and HR at hospital admition, type of MI, location, CAD severity, LV function, type of treatment, in-hospital morbidity, pharmacologic treatment post discharge, time to event. Statistical analyze: descriptive and comparative analyze, uni and multivariate regression analyze, Caplan-Meier event free survival analyze. Results: 437 patients treated for ACS, at mean age 63,2±11,1 years, 294(67,3%) males and 143(32,7%) females, were followed up for mean 17,3±10,3 months. A total of 128(29,3%) patients had 136 cardiac events (CE), 32(25%) of whom heart failure (HF). Mean time to HF was 5,9±7,4 (SE), CI(3,3-8,6) (Figure 1). As univariate predictors of HF in ACS treated patients we identified: length of hospitalization (for ACS treatment) 3,9±2,2 vs 5±2,5 days (beta .169, p=0,009); diuretic utilization during ACS hospitalization (beta 1.992, p=0,001); EF (%) (beta -0.092, p=0,001); reduced EF (<40%) had OR for HF 3.282 (CI 1,129-9,542, p=0,011); receiving PPCI (beta -1.584, p=0,011, exp(B) 0.205); known DM (beta0.741, p=0,007, exp(B) 2,098); previous MI (beta 0.832, p=0,068, exp(B) 2,297); statin therapy prior ACS (beta-0.955, p=0,028, exp(B) 0,385); PCI performed (beta-0.990, p=0,043, exp(B) 0,372); in-hospital morbidity (beta 0.868, p=0.028, exp(B) 2,382). In multivariate analyze (binary logistic regression) four independent predictors were identified: known diabetes (p=0,004), PCI treatment for ACS (p=0,006), diuretic therapy during ACS hospitalization (p=0,004) and LV function (p=0,024). Conclusion: Predictors of HF development in pts. after ACS, seems to be preexisting DM, need for diuretic therapy during ACS event, and reduced LV systolic function as negative ones, but, receiving PCI (myocardial revascularization) is the most important positive predictor.