scholarly journals Predictors of mortality in patients with left-side infective endocarditis, the ESC-EORP EURO-ENDO registry

2021 ◽  
Vol 42 (Supplement_1) ◽  
Author(s):  
A Sambola ◽  
J Lozano Torres ◽  
C Olmos ◽  
J Ternacle ◽  
F E Calvo-Iglesias ◽  
...  
Keyword(s):  
Heart Failure ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Cardiac Surgery ◽  
Infective Endocarditis ◽  
Mortality Rate ◽  
Cardiogenic Shock ◽  
Hemorrhagic Stroke ◽  
Multivariable Logistic Regression Analysis ◽  
Univariable Analysis

Abstract Background/Introduction Infective endocarditis (IE) is associated with high in-hospital mortality, ranging from 16% to 25%, despite improvement in diagnostic and therapeutic strategies, mainly due to complications and heterogeneity of the disease. Baseline risk stratification is essential, in order to focus an aggressive management toward high-risk patients. Purpose We sought to assess the association between surgery and 30-day mortality rate as related to vegetation size. Methods The ESC-EORP EURO-ENDO registry is a prospective multicentre observational study of patients presenting with definite or possible IE in Europe and ESC-affiliated/non-affiliated countries. Patients were included from January 2016 to 31 March 2018 in 156 centers from 40 countries. Clinical data, blood test analysis and multi-modality imaging tests (echocardiography, computed tomography, PET-CT, magnetic resonance) were collected. Primary endpoint was 30-day mortality. Multivariable logistic regression analysis was performed to assess variables associated with 30-day mortality. Besides, univariable analysis was performed to assess best vegetation size cut-off related to 30-day mortality. Results Among 2171 patients with left-side IE, 257 patients (11.8%) died during the first 30 days of IE diagnosis. Patient characteristics and univariable analysis are summarized in TABLE 1. Cut-off value for best vegetation size related to 30-day mortality was vegetation length >14mm, with a HR =2.00 (95% CI 1.59–2.51, p<0.0001) and a Harrell's Concordance of 0.58. After multivariable logistic regression analysis, factors associated with 30-day mortality risk were: vegetation size >14mm (OR =2.68, 95% CI [1.96–3.67], p<0.0001), previous stroke or transient ischemic attack (TIA) (OR =1.60, 95% CI [1.07–2.40], p=0.0235), creatinine >2mg/dL (OR =2.45, 95% CI [1.73–3.47], p<0.0001), presence of embolic events (OR =2.64, 95% CI [1.86–3.74], p<0.0001), hemorrhagic stroke (OR=3.71, 95% CI [1.80–7.64], p=0.0004), presence of heart failure or cardiogenic shock (OR =3.50, 95% CI [2.57–4.77], p<0.0001) and no cardiac surgery during the event (OR =4.07, 95% CI [2.93–5.67], p<0.0001). The C-statistic of the logistic model to predict 30-day mortality was 0.795. Conclusion Left-side infective endocarditis had a high 30-day mortality rate (11.8%). Presence of a large vegetation size (>14mm), embolic events, hemorrhagic stroke, renal failure, presence of heart failure or cardiogenic shock were associated with an increase in 30-day mortality. Performing cardiac surgery had a protective effect. FUNDunding Acknowledgement Type of funding sources: Private grant(s) and/or Sponsorship. Main funding source(s): ESC-EORP EURO-ENDO project from the ESC society

scholarly journals 146. Infective Endocarditis in South Korea: a 12-year Single-Center Experience of 419 Patients

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S100-S101
Author(s):  
Jung Ho Kim ◽  
Hi Jae Lee ◽  
Woon Ji Lee ◽  
Hye Seong ◽  
Jin young Ahn ◽  
...  
Keyword(s):  
Risk Factors ◽  
Staphylococcus Aureus ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Infective Endocarditis ◽  
Mortality Rate ◽  
South Korea ◽  
Hospital Mortality ◽  
Incidence Rate ◽  
Logistic Regression Analysis

Abstract Background Infective endocarditis (IE) is a potentially lethal disease that has undergone constant changes in epidemiology and pathogen. Treatment of IE has become more complex with today’s myriad healthcare-associated factors as well as regional differences in causative organisms. Therefore, it is necessary to investigate the overall trends, microbiological features, clinical characteristics and outcomes of IE in South Korea. Methods We performed a retrospective cohort study of patients with the diagnosis of probable or definite IE according to the modified Duke Criteria admitted to a tertiary care center in South Korea between November 2005 and August 2017. Poisson log-linear regression was used to estimate time trends of IE incidence rate and mortality rate. Risk factors for in-hospital mortality were evaluated by multivariate logistic regression analysis including an interaction term. Results There were 419 IE patients (275 male vs. 144 female) during the study period. The median age of the patients was 56 years. The annual incidence rate of IE of our institution was significantly increased. (RR 1.05; 95% CI, 1.02–1.08; P = 0.006) The mortality rate showed trends toward down, but not statistically significant (P = 0.875). IE was related to a prosthetic valve in 15.0% and 21.7% patients developed IE during hospitalization. The mitral valve was the most commonly affected valve (61.3%). Causative microorganisms were identified in 309 patients (73.7%) and included streptococci (34.6%), followed by Staphylococcus aureus (15.8%) and enterococci (7.9%). The in-hospital mortality rate was 14.6%. Logistic regression analysis found aortic valve endocarditis (OR 3.18; P = 0.001), IE caused by staphylococcus aureus (OR 2.32; P = 0.026), a presence of central nervous system embolic complication (OR 1.98; P = 0.031), a high SOFA score (OR 1.22; P = 0.023) and a high Charlson’s comorbidity index (OR 1.11; P = 0.019) as predictors of in-hospital mortality. On the other hand, surgical intervention for IE was found to be a protective factor against mortality. (OR 0.25, P < 0.001) Conclusion Although IE has been increasing, the mortality rate has not yet reduced significantly. Studies on causative organisms of IE and risk factors for mortality are warranted in improving prognosis. Disclosures All authors: No reported disclosures.

scholarly journals Predictors of mortality in patients with right-side and cardiac device-related infective endocarditis, the esc-eorp euro-endo registry

2021 ◽  
Vol 42 (Supplement_1) ◽  
Author(s):  
A Sambola ◽  
J Lozano Torres ◽  
C Olmos ◽  
J Ternacle ◽  
F E Calvo-Iglesias ◽  
...  
Keyword(s):  
Heart Failure ◽  
Congestive Heart Failure ◽  
Infective Endocarditis ◽  
Mortality Rate ◽  
Left Ventricular ◽  
Left Ventricular Ejection ◽  
Univariable Analysis ◽  
Cardiac Device ◽  
Ventricular Ejection Fraction ◽  
Factors Associated

Abstract Background/Introduction Mortality in right-sided infective endocarditis (RSIE) and cardiac device-related IE (CDRIE) rates have increased mainly due derived complications and heterogeneity of the disease. A better understanding of associated risk factors to mortality in these entities are required in order to develop an efficient therapy. Purpose The aim of this study was to assess 30-day mortality rate and variables associated in RSIE and CDRIE. Methods The ESC-EORP EURO-ENDO registry is a prospective multicenter observational study of patients presenting with definite or possible IE in Europe and ESC-affiliated/non-affiliated countries. Patients were included from January 2016 to 31 March 2018 in 156 centers from 40 countries. Clinical data, blood test analysis and multi-modality imaging tests (echocardiography, computed tomography, PET-CT, magnetic resonance) were collected. Primary endpoint was 30-day mortality. Univariable analysis was performed to assess variables associated with 30-day mortality. Results Among 269 patients with RSIE, 24 patients (9.8%) died during the first 30-day of IE diagnosis. Cut-off value for best vegetation size related to 30-day mortality was vegetation length &gt;19mm, with a HR = 2.88 (95% CI 1.26–6.58, p=0.01) and a Harrell's Concordance of 0.632. Factors associated with 30-days mortality by univariable analysis were: vegetation size &gt;19mm (OR = 2.99, 95% CI [1.31–6.84], p=0.009), previous stroke or transient ischemic attack (OR = 5.10, 95% CI [1.19–21.88], p=0.029), HIV infection (OR = 3.52, 95% CI [1.03–12.10], p=0.046), chronic renal failure (OR = 2.66, 95% CI [1.06–6.71], p=0.038), congestive heart failure at admission (OR = 2.34, 95% CI [1.00–5.47], p=0.050) and severe regurgitation (OR = 3.77, 95% CI [1.56–9.09], p=0.003). On the other side, among the 227 patients with CDRIE, 24 patients (8.8%) died during the first 30-day of IE diagnosis. Factors associated with an increase in 30-day mortality by univariate analysis were: age per 10 years (OR = 1.49, 95% CI [1.02–2.18], p=0.039), heart failure history (OR = 3.88, 95% CI [1.39–10.80], p=0.009), congestive heart failure on admission (OR = 5.80, 95% CI [2.31–14.55], p&lt;0.001) and cardiogenic shock on admission (OR = 13.37, 95% CI [3.75–47.64], p&lt;0.001). An increase in left ventricular ejection fraction (LVEF) per 10% was a protective factor (OR = 0.66, 95% CI [0.49–0.90], p=0.008). Conclusions Patients with RSIE and CDRIE had a not negligible 30-day mortality rate (9.8% and 8.8%, respectively). Factors associated with RSIE and CDRIE mortality are different; while in the right side location, the mortality was related with vegetation size and comorbidities, in the case of CDRIE, the mortality was mainly associated to the presence of heart failure. FUNDunding Acknowledgement Type of funding sources: Private grant(s) and/or Sponsorship. Main funding source(s): Euro-Endo registry by European Society of Cardiology

scholarly journals Mortality Rate of Patients with COVID-19 Based on Underlying Health Conditions

2021 ◽  
pp. 1-16
Author(s):  
Won-Young Choi
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Mortality Rate ◽  
Logistic Regression Analysis ◽  
Mortality Rates ◽  
Health Conditions ◽  
Multivariable Logistic Regression Analysis ◽  
Prognostic Information ◽  
Multivariable Logistic Regression ◽  
Underlying Diseases

Abstract Objective: To evaluate the mortality rates of 566,602 patients with coronavirus disease (COVID-19) based on sex, age, and the presence or absence of underlying diseases and determine whether the underlying disease provides prognostic information specifically related to death. Methods: The mortality rate was evaluated using conditional probability to identify the significant factors, and adjusted odds ratios (ORs) using a multivariable logistic regression analysis were estimated. Results: The mortality rate of patients with underlying health conditions was 12%, which was 4 times higher than that of patients without underlying health conditions. Furthermore, the mortality rates of women and men with underlying health conditions were 5.5 and 3.4 times higher than the mortality rates of patients without underlying health conditions, respectively. In a multivariable logistic regression analysis including sex, age, and underlying health conditions, male sex (OR: 1.83), age ≥ 41 years (ORs > 2.70), and underlying health conditions (OR: 2.20) were confirmed as risk factors for death. Conclusions: More attention should be paid to older patients with underlying diseases and male patients with underlying diseases as the probability of death in this population was significantly high.

scholarly journals Prediction of successful de-cannulation of tracheostomised patients in medical intensive care units

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Chul Park ◽  
Ryoung-Eun Ko ◽  
Jinhee Jung ◽  
Soo Jin Na ◽  
Kyeongman Jeon
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Goodness Of Fit ◽  
Characteristic Curve ◽  
Multivariable Logistic Regression Analysis ◽  
Limited Data ◽  
Underlying Malignancy ◽  
Medical Intensive Care ◽  
Good Calibration

Abstract Background Limited data are available on practical predictors of successful de-cannulation among the patients who undergo tracheostomies. We evaluated factors associated with failed de-cannulations to develop a prediction model that could be easily be used at the time of weaning from MV. Methods In a retrospective cohort of 346 tracheostomised patients managed by a standardized de-cannulation program, multivariable logistic regression analysis identified variables that were independently associated with failed de-cannulation. Based on the logistic regression analysis, the new predictive scoring system for successful de-cannulation, referred to as the DECAN score, was developed and then internally validated. Results The model included age > 67 years, body mass index < 22 kg/m2, underlying malignancy, non-respiratory causes of mechanical ventilation (MV), presence of neurologic disease, vasopressor requirement, and presence of post-tracheostomy pneumonia, presence of delirium. The DECAN score was associated with good calibration (goodness-of-fit, 0.6477) and discrimination outcomes (area under the receiver operating characteristic curve 0.890, 95% CI 0.853–0.921). The optimal cut-off point for the DECAN score for the prediction of the successful de-cannulation was ≤ 5 points, and was associated with the specificities of 84.6% (95% CI 77.7–90.0) and sensitivities of 80.2% (95% CI 73.9–85.5). Conclusions The DECAN score for tracheostomised patients who are successfully weaned from prolonged MV can be computed at the time of weaning to assess the probability of de-cannulation based on readily available variables.

scholarly journals Patient characteristics of smokers undergoing lumbar spine surgery: an analysis from the Quality Outcomes Database

2017 ◽  
Vol 27 (6) ◽  
pp. 661-669 ◽  
Author(s):  
Anthony L. Asher ◽  
Clinton J. Devin ◽  
Brandon McCutcheon ◽  
Silky Chotai ◽  
Kristin R. Archer ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Lumbar Spine ◽  
Smoking Status ◽  
Patient Characteristics ◽  
Lumbar Spine Surgery ◽  
Multivariable Logistic Regression Analysis ◽  
Insurance Status ◽  
Quality Outcomes

OBJECTIVEIn this analysis the authors compare the characteristics of smokers to nonsmokers using demographic, socioeconomic, and comorbidity variables. They also investigate which of these characteristics are most strongly associated with smoking status. Finally, the authors investigate whether the association between known patient risk factors and disability outcome is differentially modified by patient smoking status for those who have undergone surgery for lumbar degeneration.METHODSA total of 7547 patients undergoing degenerative lumbar surgery were entered into a prospective multicenter registry (Quality Outcomes Database [QOD]). A retrospective analysis of the prospectively collected data was conducted. Patients were dichotomized as smokers (current smokers) and nonsmokers. Multivariable logistic regression analysis fitted for patient smoking status and subsequent measurement of variable importance was performed to identify the strongest patient characteristics associated with smoking status. Multivariable linear regression models fitted for 12-month Oswestry Disability Index (ODI) scores in subsets of smokers and nonsmokers was performed to investigate whether differential effects of risk factors by smoking status might be present.RESULTSIn total, 18% (n = 1365) of patients were smokers and 82% (n = 6182) were nonsmokers. In a multivariable logistic regression analysis, the factors significantly associated with patients’ smoking status were sex (p < 0.0001), age (p < 0.0001), body mass index (p < 0.0001), educational status (p < 0.0001), insurance status (p < 0.001), and employment/occupation (p = 0.0024). Patients with diabetes had lowers odds of being a smoker (p = 0.0008), while patients with coronary artery disease had greater odds of being a smoker (p = 0.044). Patients’ propensity for smoking was also significantly associated with higher American Society of Anesthesiologists (ASA) class (p < 0.0001), anterior-alone surgical approach (p = 0.018), greater number of levels (p = 0.0246), decompression only (p = 0.0001), and higher baseline ODI score (p < 0.0001). In a multivariable proportional odds logistic regression model, the adjusted odds ratio of risk factors and direction of improvement in 12-month ODI scores remained similar between the subsets of smokers and nonsmokers.CONCLUSIONSUsing a large, national, multiinstitutional registry, the authors described the profile of patients who undergo lumbar spine surgery and its association with their smoking status. Compared with nonsmokers, smokers were younger, male, nondiabetic, nonobese patients presenting with leg pain more so than back pain, with higher ASA classes, higher disability, less education, more likely to be unemployed, and with Medicaid/uninsured insurance status. Smoking status did not affect the association between these risk factors and 12-month ODI outcome, suggesting that interventions for modifiable risk factors are equally efficacious between smokers and nonsmokers.

scholarly journals Impact of histologic chorioamnionitis on pulmonary hypertension and respiratory outcomes in preterm infants

2018 ◽  
Vol 8 (2) ◽  
pp. 204589401876016 ◽  
Author(s):  
Sook Kyung Yum ◽  
Min-Sung Kim ◽  
Yoojin Kwun ◽  
Cheong-Jun Moon ◽  
Young-Ah Youn ◽  
...  
Keyword(s):  
Pulmonary Hypertension ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Preterm Infants ◽  
Logistic Regression Analysis ◽  
Multivariable Logistic Regression Analysis ◽  
Multivariable Logistic Regression ◽  
Histologic Chorioamnionitis ◽  
Respiratory Outcomes ◽  
Lower Birthweight

We aimed to evaluate the association between the presence of histologic chorioamnionitis (HC) and development of pulmonary hypertension (PH) during neonatal intensive care unit (NICU) stay. Data of preterm infants born at 32 weeks of gestation or less were reviewed. The development of PH and other respiratory outcomes were compared according to the presence of HC. Potential risk factors associated with the development of PH during NICU stay were used for multivariable logistic regression analysis. A total of 188 infants were enrolled: 72 in the HC group and 116 in the no HC group. The HC group infants were born at a significantly shorter gestational age and lower birthweight, with a greater proportion presenting preterm premature rupture of membrane (pPROM) > 18 h before delivery. More infants in the HC group developed pneumothorax ( P = 0.008), and moderate and severe bronchopulmonary dysplasia (BPD; P = 0.001 and P = 0.006, respectively). PH in the HC group was significantly more frequent compared to the no HC group (25.0% versus 8.6%, P = 0.002). Based on a multivariable logistic regression analysis, birthweight ( P = 0.009, odds ratio [OR] = 0.997, 95% confidence interval [CI] = 0.995–0.999), the presence of HC ( P = 0.047, OR = 2.799, 95% CI = 1.014–7.731), and duration of invasive mechanical ventilation (MV) > 14 days ( P = 0.015, OR = 8.036, 95% CI = 1.051–43.030) were significant factors. The presence of HC and prolonged invasive MV in infants with lower birthweight possibly synergistically act against preterm pulmonary outcomes and leads to the development of PH. Verification of this result and further investigation to establish effective strategies to prevent or ameliorate these adverse outcomes are needed.

Abstract 1847: Prognostic Impact Of Previous Percutaneous Coronary Interventions On Coronary Artery Bypass Graft Surgery: A Multicentric Analysis FromThe German Federal State North-Rhine-Westphalia

Circulation ◽  
2007 ◽  
Vol 116 (suppl_16) ◽  
Author(s):  
Parwis Massoudy ◽  
Matthias Thielmann ◽  
Nils Lehmann ◽  
Anja Marr ◽  
Georg Kleikamp ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Coronary Artery ◽  
Hospital Mortality ◽  
Logistic Regression Analysis ◽  
Artery Bypass ◽  
Federal State ◽  
Multivariable Logistic Regression Analysis ◽  
Percutaneous Coronary ◽  
German Federal State

Background: We have previously shown that multiple prior percutaneous coronary intervention (PCI) procedures adversely affect outcome after subsequent coronary artery bypass grafting (CABG). We were now interested to investigate this effect on a multicentric basis. Methods: Eight cardiac surgical centers from the German Federal State of North-Rhine-Westphalia provided outcome data of 37140 consecutive patients having undergone isolated first-time CABG between 01/2000 and 12/2005. Twenty-two patient characteristics and outcome variables, which are part of a collection of data claimed by the national medical quality-control commission, were retrieved from the individual databases. Three groups of patients were analyzed for overall in-hospital mortality and major adverse cardiac events (MACE): Patients without a previous PCI procedure, patients with 1 previous PCI procedure and patients with ≥2 previous PCI procedures before surgery. Unadjusted univariable and risk-adjusted multivariable logistic regression analysis were applied. Computed propensity-score matching was performed based on 15 patient major risk factors to correct for and minimize selection bias. Results: A total of 10.3% of patients had 1 previous PCI procedure, and 3.7% of patients had ≥2 previous PCI procedures. Risk-adjusted multivariable logistic regression analysis of ≥2 previous PCI significantly correlated with in-hospital mortality (odds ratio [OR], 2.0; confidence interval [CI], 1.4–3.0; P <0.0005) and MACE (OR, 1.5; CI, 1.2–1.9; P <0.0013). After propensity score matching, conditional logistic regression analysis confirmed the results of adjusted analysis. A history of ≥2 previous PCI procedures was significantly associated with in-hospital mortality (OR, 1.9; CI, 1.3–2.7; P =0.0016) and MACE (OR, 1.5; CI, 1.2–1.9; P =0.0019). Conclusions: This large multicentric trial supports earlier results of our single-center analysis, multiple previous PCI procedures significantly increased the event of in-hospital mortality and MACE after subsequent CABG.

MO733RISK FACTORS FOR INFECTIVE ENDOCARDITIS IN PATIENTS RECEIVING HAEMODIALYSIS- A PROPENSITY MATCHED COHORT STUDY

2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
Saif Al-Chalabi ◽  
Tricia Tay ◽  
Rajkumar Chinnadurai ◽  
Philip A Kalra
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Infective Endocarditis ◽  
Logistic Regression Analysis ◽  
Heart Diseases ◽  
Dialysis Access ◽  
Dialysis Catheter ◽  
Valvular Heart Diseases ◽  
Dialysis Vintage

Abstract Background and Aims Infective endocarditis (IE) is a serious infective complication that usually results in prolonged hospitalisation and is associated with high morbidity and mortality. It is sometimes difficult to promptly diagnose infective endocarditis when a patient receiving hemodialysis presents with signs and symptoms of bacteremia, a delay which can lead to worse outcomes. In this study, we aimed to identify the risk factors that can predict infective endocarditis in haemodialysis patients with bacteremia. Method This retrospective observational study was conducted on all patients diagnosed with infective endocarditis (IE) and receiving maintenance hemodialysis between 2005 and 2018 in Salford Royal Hospital and its satellite dialysis units (catchment population of 1.5 million). The IE patients were propensity score matched in a 1:2 ratio with similar hemodialysis patients without IE but with bacteremia between 2011 and 2015. Propensity scores were generated by using binary logistic regression analysis incorporating age, gender, diabetes status, and dialysis vintage as variables. Logistic regression analysis was used to predict the risk factors associated with developing IE. Statistics were performed using SPSS version-24. Results We had a sample of 105 patients (35 IE vs 70 bacteremia). The median age of the patients was 65 years with a predominance of males (60%). 43% were diabetic, 11.5% were receiving immunosuppression and 72% had a catheter for dialysis access. IE patients had higher peak C-reactive protein (CRP) during admission compared to patients with bacteremia and no IE (253 mg/l vs 152 mg/l, p=0.001). Patients who developed IE had a longer duration of dialysis catheter use than the bacteremia group (150 vs 19 days; p&lt;0.001) (table 1). There was no significant difference between causative microorganisms in both groups. Staphylococcus aureus caused most cases (54% in IE and 47% in bacteremia). Our study showed clearly that patients who had IE had longer hospital stay (45 vs 18 days, p=0.001) with a far higher 30-day mortality rate (54.3% vs 17.1%, p&lt;0.001). Logistic regression analysis showed previous valvular heart diseases (OR: 20.1; p&lt;0.001), a higher peak CRP (OR:1.01; p=0.001), and a longer duration of catheter use (OR: 1.01; p=0.035) as significant predictors for infective endocarditis (table 2). Conclusion Bacteremia in patients receiving hemodialysis through a catheter as access should be actively investigated with a high index of suspicion for IE particularly those having valvular heart diseases, hypertension, higher peak CRP, and those with a longer duration of dialysis catheter usage. Work up may need to include invasive investigations such as transesophageal echocardiogram to confirm or reliably rule out this devastating condition.

Abstract TP3: Early Reocclusion After Mechanical Thrombectomy for Acute Stroke Due to Intracranial Atherosclerotic Stenosis-Related Occlusions

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Masatomo Miura ◽  
Yoichiro Nagao ◽  
Makoto Nakajima ◽  
Seigo Shindo ◽  
Kuniyasu Wada ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Balloon Angioplasty ◽  
Mechanical Thrombectomy ◽  
Rescue Therapy ◽  
Multivariable Logistic Regression Analysis ◽  
Intracranial Stenting ◽  
Atherosclerotic Stenosis

Background: In acute ischemic stroke (AIS) patients due to intracranial atherosclerosis-related occlusions (ICAS-O), despite successful reperfusion with mechanical thrombectomy (MT), unexpected early reocclusion sometimes occurs and worsens clinical outcome. We investigated prevalence, outcomes, and predictors of early reocclusion within 48 hours of MT in AIS due to ICAS-O. Methods: In 557 consecutive AIS patients who underwent MT from January, 2016 to March, 2019 in two stroke centers, 71 patients due to ICAS-O were retrospectively evaluated. We divided them into two groups: patients with early reocclusion and those without. Clinical and angiographical findings and outcomes were compared between the 2 groups. Multivariable logistic regression analysis was used to investigate predictors of early reocclusion after MT. Results: Of 71 patients (aged 72 ± 10 years; 23 women; median NIHSS score, 15), early reocclusion was observed in 11 (15%). The first procedure for recanalization was stent retriever in 25 patients (35%), Penumbra system in 25 patients (35%), and balloon angioplasty in 21 patients (30%). Of these, 63 patients (88%) received rescue therapy (balloon angioplasty, 50; intracranial stenting, 13). In the early reocclusion group, more number of intraprocedural reocclusion (median [IQR], 3 [2-3] vs. 1 [0-1], p < 0.001), a higher rate of remaining stenosis on the final angiography (67.6 ± 5.9% vs 57.3 ± 15.9%, p = 0.044), and a higher rate of procedure-related adverse events (27% vs 5%, p = 0.043) were observed compared to the other group. On logistic regression analysis, a total number of intraprocedural reocclusion was independently associated with early reocclusion (odds ratio, 31.4; 95% confidence interval, 2.6-375.2). Early reocclusion was related to a low rate of favorable outcome at 90 days (modified Rankin Scale ≤ 2, 9% vs 54%, p = 0.007). Conclusions: In AIS patients due to ICAS-O, early reocclusion within 48 hours was not rare and associated with unfavorable outcome. Patients with repeated intraprocedural reocclusion are at high risk for early reocclusion; they might need follow-up angiographical assessment and intensive antithrombotic treatment.

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