Neurological and medical complications in cerebral stroke patients before hospitalization and during admission to the clinic «oberig» stroke center

Objective ‒ to determine the rate of medical and neurological complications in patients with cerebral stroke (CS) before hospitalization and during in-patient treatment at the Stroke Center (SC), as well as to establish independent predictors for new medical complications at the SC, and to develop an appropriate prognostic model. Materials and methods. The study enrolled 539 patients, 309 (57.3 %) were men and 230 (42.7 %) were women. The age of patients ranged from 20.4 to 95.6 (66.0 [57.9; 75.1]) years. 438 (81.3 %) patients were diagnosed with ischemic stroke (177 (40.4%) ‒ atherothrombotic subtype, 200 (45.7 %) ‒ cardioembolic, 30 (6.9 %) – lacunar, 32 (7.0 %) ‒ stroke of other established or undetermined etiology), 101 (18.7 %) ‒ intracerebral hemorrhage. 109 (20.2%) of the study participants were hospitalized in the hyperacute period, 113 (21.0 %) ‒ in the acute, 199 (36.9 %) ‒ in the early subacute, 36 (6.7 %) ‒ in the late subacute, 82 (15.2%) ‒ in the remote (chronic) period of CS. All patients were evaluated upon admission using the National Institutes of Health Stroke Scale (NIHSS) and the modified Rankin Scale (mRS). The method of construction and analysis of logistic regression models was used to quantify the degree of influence of factor features on the risk of complications. The analysis was performed using the package MedCalc v. 19.1. Results. The total NIHSS score on admission ranged from 0 to 39 (11 [6; 18]). Among the studied patients, 119 (22.1 %) had mild, 218 (40.5 %) – moderate, 114 (21.2 %) – severe, 88 (16.3 %) – very severe CS. Asesed with mRS upon admission, 11 (2.0 %) patients have 0 point, 34 (6.3 %) – 1 point, 58 (10.8 %) – 2 point, 65 (12.1 %) – 3 point,136 (25.2 %) – 4 point, and 235 (43.6 %) – 5 point. Neurological or medical complications before hospitalization occurred in 303 (56.2 %) patients, including 111 (20.6 %) patients with neurological complications and 192 (35.6 %) patients with medical ones. More than one complication was recorded in 52 (9.6 %) persons. The incidence of new neurological and medical complications during the SC stay was significantly lower (p<0.001) than before hospitalization. The independent predictors of new medical complications were CE subtype of IS (OR 2.08; 95 % CI 1.11–3.92), medical complications before admission (OR 2.58; 95 % CI 1.51–4.42), higher initial NIHSS score (OR 1.11; 95 % CI 1.06–1.16 for each additional point), and higher initial mRS (OR 1.62; 95 % CI 1.07–2.48, for each additional point). The predictive model based on the selected set of features has good sensitivity (86.4 %) and moderate specificity (68.4 %). The area under the operating characteristics curve AUC = 0.85 (95 % CI 0.82–0.88), indicates a strong relationship between this set of factorial factors and the risk of medical complications during in-patient treatment at the SC. Conclusions. Before SC admission, complications, mainly medical, occurred in the majo-rity of the patients. A higher rate of medical complications associated with severe CS, greater dependency, older age, and a longer period from CS onset to SC admission. The incidence of complications at the SC was significantly lower than before the admission, which suggests the benefits of care at a Comprehensive Stroke Unit.

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Abstract 2903: Nutritional Access of Dysphagic Patients 3 Months after Onset of Acute Stroke -From Database of 5,000 Patients in a Single Stroke Center-

Stroke ◽

10.1161/str.43.suppl_1.a2903 ◽

2012 ◽

Vol 43 (suppl_1) ◽

Author(s):

Makoto Nakajima ◽

Yuichiro Inatomi ◽

Toshiro Yonehara ◽

Yoichiro Hashimoto ◽

Teruyuki Hirano

Keyword(s):

Acute Stroke ◽

Chronic Phase ◽

Oral Intake ◽

Continuous Variables ◽

Operating Characteristics ◽

Stroke Patients ◽

Nihss Score ◽

Swallowing Dysfunction ◽

Stroke Center ◽

Dysphagic Patients

Background and purpose: Prediction of swallowing function in dysphagic patients with acute stroke is indispensable for discussing percutaneous endoscopic gastrostomy (PEG) placement. We performed a retrospective study using database of a large number of acute ischemic stroke patients to clarify predictors for acquisition of oral intake in chronic phase. Methods: A total 4,972 consecutive acute stroke patients were admitted to our stroke center during 8.5 years; a questionnaire was sent to all the survivors after 3 months of onset. We investigated nutritional access after 3 months of onset in 588 patients who could not eat orally 10 days after admission, and analyzed predictive factors for their acquisition of oral intake. Continuous variables were dichotomized to identify the most sensitive predictors; the cutoff values were investigated by receiver operating characteristics curve analysis. Results: Out of 588 dysphagic patients, 75 died during the 3 months, and 143 (28%) of the residual 513 achieved oral intake after 3 months. In logistic-regression models, age ≤80 years, absence of hyperlipidemia, absence of atrial fibrillation, modified Rankin Scale score 0 before onset, and low National Institutes of Health Stroke Scale (NIHSS) score independently predicted oral intake 3 months after onset. From two different model analyses, NIHSS score ≤17 on day 10 (OR 3.63, 95% CI 2.37-5.56) was found to be a stronger predictor for oral intake than NIHSS score ≤17 on admission (OR 2.34, 95% CI 1.52-3.59). At 3 months, 17/143 (12%) patients with oral intake were living at home, while only 1/370 (0.3%) patients without oral intake were. Conclusion: A quarter of dysphagic patients with acute stroke obtained oral intake 3 months after onset. Clinicians should be cautious about PEG placement for stroke patients with severe dysphagia who were independent prior to the stroke, aged ≤80 years, and show NIHSS score ≤17 on day 10, because their swallowing dysfunction may improve in a few months.

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AND score: a simple tool for predicting infection in acute ischemic stroke patients without a ventilator in the Chinese population

Journal of International Medical Research ◽

10.1177/0300060519888303 ◽

2019 ◽

Vol 48 (3) ◽

pp. 030006051988830 ◽

Cited By ~ 2

Author(s):

Jiaoxing Li ◽

Yufang Wang ◽

Xunsha Sun ◽

Jing Lin ◽

Rong Lai ◽

...

Keyword(s):

Ischemic Stroke ◽

Acute Ischemic Stroke ◽

Scoring System ◽

Chinese Population ◽

Stepwise Logistic Regression ◽

Operating Characteristics ◽

Nihss Score ◽

Logistic Regression Models ◽

High Area ◽

Hospital Acquired

Objective We aimed to develop a simple and user-friendly scoring system to predict all-cause hospital-acquired infections (HAIs) after acute ischemic stroke (AIS) in the Chinese population. Methods AIS patients from a retrospective cohort study at our center were included from January 2016 to December 2018. HAIs were diagnosed based on the current criteria from Ministry of Health of the People’s Republic of China. Stepwise logistic regression models were performed to screen independent predictors of HAI after AIS. A scoring system was developed by including each of the above significant predictors. Results Among 1211 patients, 76 patients (6.28%) developed HAI. Age, baseline National Institute of Health stroke scale (NIHSS) score, and dysphagia were independent predictors of HAI. For the AND score, A refers to age, N refers to NIHSS, and D refers to dysphagia. The AND score showed a high area under the receiver operating characteristics (AUROC) curve (0.679), which comprised age (65–74 years was 4 points, 75–84 years was 6 points, ≥85 years was 8 points), NIHSS score ≥10 (5 points), and dysphagia (6 points). Conclusions We developed a simple scoring system to predict all-cause infections after AIS patients without a ventilator in the Chinese population.

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Integrated multidisciplinary assessment of cerebral stroke outcome after treatment in a comprehensive stroke unit

Endovascular Neuroradiology ◽

10.26683/2304-9359-2019-2(28)-50-58 ◽

2019 ◽

Vol 28 (2) ◽

pp. 50-58

Author(s):

Yu.V. FLomin ◽

V.G. Gurianov ◽

L.I. Sokolova

Keyword(s):

Activities Of Daily Living ◽

Daily Living ◽

Stroke Unit ◽

Rating Scales ◽

Berg Balance Scale ◽

Patient Treatment ◽

Cerebral Stroke ◽

Stroke Outcome ◽

Stroke Center ◽

Integral Assessment

Objective – to explore the possibility of integral assessment of the stroke outcome and to develop a method of integral assessment of the stroke outcome after in-patient treatment on the level of impairment and and the level of activities of daily living, which were assessed using rating scales and indices.Materials and methods. The study was conducted at the Stroke Center (SC), Oberig’ multidisciplinary hospital division, which operates according to the principles of Comprehensive Stroke Unit. Patients with a cerebral stroke who were admitted to the SC in 2010–2018 were enrolled. The data of the participants were prospectively entered into a special database and included discharge assessments using 8 valid rating scales and indices. Cluster analysis methods (in particular Kohonen neural networks) were used to design the integral assessment. Statistical analysis of the values of the rating scales and indices in the selected clusters was performed using the Kruskal–Wallis criterion, post hoc comparisons were made using the Dunn multiple comparison criterion.Results. 852 patients (42.5 % women and 57.5 % men, median age – 66.7 year) were enrolled. 81 % of patients were diagnosed with ischemic stroke, and 19 % had hemorrhagic stroke. According to the chosen method, it is necessary and sufficient to split the data into 4 clusters. All participants in the study according to their assessments at discharge using the set of selected measures could be assigned to one of 4 isolated clusters: K1 (n = 366), K2 (n = 93), K3 (n = 104) or K4 (n = 289). National Institutes of Health Stroke Scale, modified Rankin scale, Barthel Index, Berg Balance Scale та Functional Ambulation Classification were the most significant determinants of the patient cluster. For the 5 measures there have been significant differences (p < 0.001) in the four clusters. The condition of the patients in K4 cluster was the best (p < 0.05), whereas the patients in the K1 cluster were worse (p < 0.05), and the condition of the patients in the clusters K2 and K3 was much worse (p < 0.05) compared with the cluster K4.Conclusions. Based on the integrated assessments of neurological impairments and activities of daily living all of stroke patients could be assigned to one of four identified clusters. Detecting predictors of poor outcome after in-patient management may help to find ways to improve their prognosis.

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Post-stroke cognitive impairment: screening with MMSE and MoCA and predictors of their persistence after treatment at the Stroke Center

Ukrainian Neurological Journal ◽

10.30978/unj2021-3-31 ◽

2021 ◽

Author(s):

Y. V. Flomin ◽

V. G. Gurianov ◽

L. I. Sokolova

Keyword(s):

Cognitive Impairment ◽

Mmse Score ◽

Cerebral Arteries ◽

High Rate ◽

Cerebral Stroke ◽

Time Interval ◽

Post Stroke ◽

Lower Baseline ◽

Stroke Center ◽

Moca Score

Objective — to analyze the results of screening for post‑stroke cognitive impairment (PCI) in patients with cerebral stroke (CS) admitted to the Stroke Center (SC) in different disease phases, and to determine independent predictors of the PCI persistence at discharge. Methods and subjects. 399 patients were enrolled, including 242 (60.7 %) men and 157 (39.3 %) women with the median age was 66.2 years (IQR 58.5 — 76.3). IS was diagnosed in 331 (82.9 %), and ICH in 68 (17.1 %) patients. Among patients with IS, 137 (41.4 %) had an atherothrombotic subtype, 152 (46.0 %) had a cardioembolic subtype, 21 (6.3 %) had a lacunar subtype, another 21 (6.3 %) had another or unknown cause of stroke. Patients were screened for PCI using the Mini‑Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) on admission and at discharge. Participants with MMSE score of 0 — 24 or a MoCA score of 0 — 25 were considered having PCI. Upon admission, all patients were assessed using the National Institutes of Health Stroke Scale (NIHSS), Bartel Index, and Modified Rankine Scale (mRS). The method of constructing and analyzing logistic regression models was used to determine independent predictors of the preservation of PCI at discharge. The analysis was carried out using the MedCalc v. 19.1. Results. The baseline NIHSS score ranged from 0 to 39 (median 11, IQR 6 — 18). The majority (64.2 %) of the subjects were hospitalized within the first 30 days from the CS onset. The MMSE score on admission ranged from 0 to 30 (median 20, IQR 2 — 27), and in 179 (44.9 %) of the patients the initial score was 0 to 17 (severe PCI), whereas in 61 (15 3 %) of the participants it was 18 to 24 (moderately severe PCI) and only 159 (39.8 %) persons scored 25 to 30 (no PCI). The baseline MoCA score ranged from 0 to 30 (median 15, IQR 1 — 24), and 356 (89.2 %) patients were shown to have PCI (score 0 to 25). According to screening with MMSE at discharge, 125 (31.4 %) patients had severe PCI, and 67 (16.8 %) had moderately severe PCI. The MoCA assessment before discharge indicated PCI in 324 (81.2 %) patients. According to both MMSE and MoCA, the rate of PCI on admission was significantly higher than at discharge (p < 0.001). Among the 240 patients who had PCI according to MMSE score, 239 (99.6 %) had PCI according to the MoCA score. However, among 159 patients who screened negative for PCI with MMSE at admission, 117 (73.6 %) screened positive with MoCA. Screening results using both MMSE and MoCA were not significantly associated with affected hemisphere. ICH was associated with lower (p < 0.0001) MMSE and MoCA scores compared with IS. Predictors of PCI according to MMSE score at discharge were a longer time interval from CS onset to SC admission, and a lower baseline MMSE score. However, with MoCA, the predictors were AT subtype IS, lesions in the distribution of the right or both middle cerebral arteries, older patient age, and a lower baseline MoCA score. Conclusions. In patients with MI, a high rate of PCI was documented on admission, but was significantly lower at discharge. In patients with established PCI, according to MMSE score, the use of MoCA for screening seems useless, however, screening with MoCA identified PCI in 3/4 in patients with a normal MMSE score. The independent predictors of scores on these two scales, indicating PCI, were significantly different, so they should not be considered interchangeable.

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Abstract P394: Association Between Admission Dehydration and In-Hospital Mortality in Patients With Intracerebral Hemorrhage

Stroke ◽

10.1161/str.52.suppl_1.p394 ◽

2021 ◽

Vol 52 (Suppl_1) ◽

Author(s):

Bin Gao ◽

Hongqiu Gu ◽

Shimeng Liu ◽

Qi Zhou ◽

Kang Kaijiang ◽

...

Keyword(s):

Logistic Regression ◽

Intracerebral Hemorrhage ◽

Hospital Mortality ◽

Blood Urea Nitrogen ◽

Regression Models ◽

Fluid Management ◽

Urea Nitrogen ◽

Logistic Regression Models ◽

Acute Intracerebral Hemorrhage ◽

Stroke Center

Background and purpose: Our aim was to investigate the associations between dehydration status at admission and in-hospital mortality in patients with intracerebral hemorrhage. Methods: Data of consecutive patients with intracerebral hemorrhage between August 2015 and July 2019 based on China Stroke Center Alliance (CSCA) were analyzed. The patients were stratified based on the blood urea nitrogen (BUN) to creatinine (CR) ratio (BUN/CR) on admission, into dehydrated (BUN/CR ≥ 15) and non-dehydrated (BUN/CR < 15) groups. Data were analyzed with multi-variate logistic regression models to analyze the risks of death at hospital and baseline dehydration status. Results: A total number of 84043 patients with intracerebral hemorrhage were included in the study. The median age of patients on admission was 63.0 years, and 37.5% of them were women. Based on the baseline BUN/CR, 59153 (70.4%) patients were classified into dehydration group. Patients with admission dehydration (BUN/CR ≥ 15) had 13% lower risks of in-hospital mortality than those without dehydration (BUN/CR < 15, adjusted OR=0.87, 95%CI: [0.78-0.96]). In patients aged <65 years, patients with baseline dehydration (BUN/CR ≥ 15) showed 19% lower risks of in-hospital mortality (adjusted OR=0.81, 95%CI: [0.70-0.94].adjusted p=0.0049) than non-dehydrated patients (BUN/CR<15). Conclusion: Admission dehydration is associated with lower in-hospital mortality in intracerebral hemorrhage,which provides an imaging clue that fluid management could be important for acute intracerebral hemorrhage.

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Antiplatelet pretreatment and outcomes following mechanical thrombectomy for emergent large vessel occlusion strokes

Journal of NeuroInterventional Surgery ◽

10.1136/neurintsurg-2017-013532 ◽

2017 ◽

Vol 10 (9) ◽

pp. 828-833 ◽

Cited By ~ 16

Author(s):

Abhi Pandhi ◽

Georgios Tsivgoulis ◽

Rashi Krishnan ◽

Muhammad F Ishfaq ◽

Savdeep Singh ◽

...

Keyword(s):

Mechanical Thrombectomy ◽

Intravenous Thrombolysis ◽

Functional Independence ◽

Large Vessel ◽

Vessel Occlusion ◽

Safety And Efficacy ◽

Logistic Regression Models ◽

Scale Scores ◽

Stroke Center ◽

Few Data

BackgroundFew data are available regarding the safety and efficacy of antiplatelet (APT) pretreatment in acute ischemic stroke (AIS) patients with emergent large vessel occlusions (ELVO) treated with mechanical thrombectomy (MT). We sought to evaluate the association of APT pretreatment with safety and efficacy outcomes following MT for ELVO.MethodsConsecutive ELVO patients treated with MT during a 4-year period in a tertiary stroke center were evaluated. The following outcomes were documented using standard definitions: symptomatic intracranial hemorrhage (sICH), successful recanalization (SR; modified TICI score 2b/3), mortality, and functional independence (modified Rankin Scale scores of 0–2).ResultsThe study population included 217 patients with ELVO (mean age 62±14 years, 50% men, median NIH Stroke Scale score 16). APT pretreatment was documented in 71 cases (33%). Patients with APT pretreatment had higher SR rates (77% vs 61%; P=0.013). The two groups did not differ in terms of sICH (6% vs 7%), 3-month mortality (25% vs 26%), and 3-month functional independence (50% vs 48%). Pretreatment with APT was independently associated with increased likelihood of SR (OR 2.18, 95% CI1.01 to 4.73; P=0.048) on multivariable logistic regression models adjusting for potential confounders. A significant interaction (P=0.014) of intravenous thrombolysis (IVT) pretreatment on the association of pre-hospital antiplatelet use with SR was detected. APT pretreatment was associated with SR (OR 2.74, 95% CI 1.15 to 6.54; P=0.024) in patients treated with combination therapy (IVT and MT) but not in those treated with direct MT (OR 1.78, 95% CI 0.63 to 5.03; P=0.276).ConclusionAPT pretreatment does not increase the risk of sICH and may independently improve the odds of SR in patients with ELVO treated with MT. The former association appears to be modified by IVT.

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Abstract P122: The Impact of Center Certification Status on Acute Stroke Care Within a Multi-Hospital System in Western United States

Stroke ◽

10.1161/str.52.suppl_1.p122 ◽

2021 ◽

Vol 52 (Suppl_1) ◽

Author(s):

Radoslav I Raychev ◽

CrystalAnn Moreno ◽

Leslie Corless ◽

Jason W Tarpley ◽

John F Zurasky ◽

...

Keyword(s):

Logistic Regression ◽

Clinical Outcome ◽

Regression Models ◽

Process Of Care ◽

Chi Square ◽

Hospital System ◽

Logistic Regression Models ◽

Stroke Center ◽

The Impact ◽

Iv Tpa

Introduction: We aimed to investigate the impact of certification status on process of care metrics and clinical outcome in a large multi-center hospital system. Methods: We analyzed data obtained from the Providence Stroke Registry between January 2016 and December 2019. Key process of care metrics and clinical outcome were compared among patients with a discharge diagnosis of stroke and stratified based on site certification: comprehensive stroke center (CSC), thrombectomy-capable stroke center (TSC), primary stroke center (PSC) and no certification (NC). Donner’s adjusted chi-square tests were used to compare proportions for each metric grouped by certification. Generalized linear mixed effects logistic regression models were used to adjust for mode of patient arrival, age, sex, admit NIHSS, and medical history. Results: Data included 45,278 patients. Results from the analyses are summarized in the table. Donner’s adjusted chi-square analyses showed significant differences for metrics across certification groups. Results from the logistic regression models indicated significant differences in IV TPA and EVT treatment, as well as IV TPA treatment times across certification groups. There were no significant differences between TSC and CSC. Conclusions: Patients presenting with acute ischemic stroke at NC and PSC were significantly less likely to receive IV TPA or EVT with significantly less efficient IV tPA treatment times as compared to CSC. However, CSC and TSC sites performed similarly.

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Development and validation of a prognostic model based on comorbidities to predict Covid-19 severity. A population-based study

International Journal of Epidemiology ◽

10.1093/ije/dyaa209 ◽

2020 ◽

Author(s):

Francisco Gude-Sampedro ◽

Carmen Fernández-Merino ◽

Lucía Ferreiro ◽

Óscar Lado-Baleato ◽

Jenifer Espasandín-Domínguez ◽

...

Keyword(s):

Disease Severity ◽

Risk Model ◽

Model Performance ◽

Population Based ◽

Chronic Obstructive ◽

Operating Characteristics ◽

Obstructive Pulmonary Disease ◽

Logistic Regression Models ◽

Health Authorities ◽

Obesity Hypertension

Abstract Background The prognosis of patients with Covid-19 infection is uncertain. We derived and validated a new risk model for predicting progression to disease severity, hospitalization, admission to intensive care unit (ICU) and mortality in patients with Covid-19 infection (Gal-Covid-19 scores). Methods This is a retrospective cohort study of patients with Covid-19 infection confirmed by reverse transcription polymerase chain reaction (RT-PCR) in Galicia, Spain. Data were extracted from electronic health records of patients, including age, sex and comorbidities according to International Classification of Primary Care codes (ICPC-2). Logistic regression models were used to estimate the probability of disease severity. Calibration and discrimination were evaluated to assess model performance. Results The incidence of infection was 0.39% (10 454 patients). A total of 2492 patients (23.8%) required hospitalization, 284 (2.7%) were admitted to the ICU and 544 (5.2%) died. The variables included in the models to predict severity included age, gender and chronic comorbidities such as cardiovascular disease, diabetes, obesity, hypertension, chronic obstructive pulmonary disease, asthma, liver disease, chronic kidney disease and haematological cancer. The models demonstrated a fair–good fit for predicting hospitalization {AUC [area under the receiver operating characteristics (ROC) curve] 0.77 [95% confidence interval (CI) 0.76, 0.78]}, admission to ICU [AUC 0.83 (95%CI 0.81, 0.85)] and death [AUC 0.89 (95%CI 0.88, 0.90)]. Conclusions The Gal-Covid-19 scores provide risk estimates for predicting severity in Covid-19 patients. The ability to predict disease severity may help clinicians prioritize high-risk patients and facilitate the decision making of health authorities.

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Timing for Closed Reduction Procedure for Developmental Dysplasia of the Hip and its Failure Analysis

10.21203/rs.3.rs-37192/v3 ◽

2020 ◽

Author(s):

Zhiqiang Zhang ◽

Hao Li ◽

Hai Li ◽

Ziming Zhang

Keyword(s):

Risk Factors ◽

Closed Reduction ◽

Age Groups ◽

Significant Risk ◽

Developmental Dysplasia ◽

Operating Characteristics ◽

Logistic Regression Models ◽

Midterm Outcome ◽

Group I ◽

Dysplasia Of The Hip

Abstract Background It remains controversial whether the older age to perform closed reduction (CR) procedure for developmental dysplasia of the hip (DDH), the higher incidence of complications. The aim of this study is to evaluate the midterm outcome of CR for DDH among difference age groups, and to analyze and identify risk factors for the failure of this procedure. Methods Clinical data of 107 DDH patients, who received CR, were retrospectively reviewed. Data were divided into three groups according to initial treatment age (Group I: younger than 12 months; Group II: 12 months to less or equal to18 months; Group III: older than 18 months). The presence of avascular necrosis (AVN), residual acetabular dysplasia (RAD), re-dislocation, and further surgeries (FS) were observed. The risk factors were identified for those outcomes aforementioned using univariable logistic regression models. For identified risk factor age, pre-op acetabular index (AI) and post-op AI, their prediction of CR failure were evaluated by receiver operating characteristics curve (ROC).Results A total of 107 patients (156 hips) undergoing CR procedure were evaluated with a median age at initial reduction of 13.0±5.4 months (range, 4 to 28 mo). Mean follow-up time in this study was 6.7±0.8 years (range, 3-8 years). The incidence of AVN, RAD and re-dislocation was 15.4% (24/156), 17.3% (27/156) and 14.7% (23/156) respectively. For AVN, RAD and re-dislocation, the significant risk factors are pre-op IHDI IV (p=0.033), age≥18 months (p=0.012), and pre-op IHDI IV (p=0.004) and walking (p=0.011), respectively. The areas under the ROC curve of each type of failures were 0.841 (post-op AI), 0.688 (pre-op AI) and 0.650 (age).Conclusions Severe DDH patients older than 18 months with CR procedure may result in a high risk of RAD complication. Re-dislocation is significantly associated with pre-op IHDI IV and walking. Patients, who are older than 12.5 months or have a pre-op AI of 38.7° or a post-op AI of 26.4°, are also more likely to fail of CR procedure.

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Gender differences in time from arrival to stroke team activation in patients presenting with acute stroke symptoms

10.22514/sv.2021.051 ◽

2021 ◽

Keyword(s):

Acute Stroke ◽

Proportional Hazards ◽

Gender Disparity ◽

Cox Proportional Hazards ◽

Activation Time ◽

National Guidelines ◽

Logistic Regression Models ◽

Patient Gender ◽

Stroke Team ◽

Stroke Center

Background and Purpose: Women are more likely to experience delays in evaluation and treatment for acute stroke. As national guidelines increasingly emphasize the importance of rapid stroke intervention, it is important to further investigate this gender disparity. We sought to evaluate whether door-to-stroke activation time varied by patient gender among patients for whom stroke team activation occurred in the emergency department (ED). Methods: This was a retrospective analysis of a prospectively collected registry of all patients for whom the stroke team was activated in the ED of an urban, academic, regional stroke center over 1 year. Our primary outcome was door to stroke activation time (DTA), with the primary predictor of interest being patient gender. We assessed for differences in DTA using multivariable Cox proportional hazards and logistic regression models. Results: There were 211 patient encounters included in the study, 117 women and 94 males. Median DTA was 8 minutes longer for women, and women were less likely to have DTA ≤ 15 minutes (odds ratio 0.26 [95% confidence interval 0.12 to 0.58]). Conclusion: A gender disparity existed in door to activation time for women presenting with suspected acute stroke, even when controlling for a variety of factors. These results provide evidence that gender may impact initial management of stroke patients.

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