scholarly journals Swallowing disorders after ischemic stroke

2011 ◽  
Vol 69 (5) ◽  
pp. 785-789 ◽  
Author(s):  
Gabriela Camargo Remesso ◽  
Márcia Maiumi Fukujima ◽  
Ana Lúcia de Magalhães Leal Chiappetta ◽  
Adriana Leico Oda ◽  
Alexandre Santos Aguiar ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Ischemic Stroke ◽  
Retrospective Study ◽  
Hospital Stay ◽  
Spontaneous Recovery ◽  
Swallowing Disorders ◽  
Older Age ◽  
Exclusion Criteria ◽  
Severe Difficulty

OBJECTIVE: To investigate occurrences of swallowing disorders after ischemic stroke. METHOD: This was a retrospective study on 596 medical files. The inclusion criterion was that the patients needed to have been hospitalized with a diagnosis of ischemic stroke; the exclusion criteria were the presence of associated cardiac problems and hospital stay already more than 14 days. RESULTS: 50.5% were men and 49.5% women; mean age 65.3 years (SD=±11.7) (p<0.001). Among the risk factors, 79.4% had hypertension, 36.7% had diabetes (p<0.001) and 42.7% were smokers. 13.3% of the patients died. Swallowing disorders occurred in 19.6%, among whom 91.5% had mild difficulty and 8.5% had severe difficulty. 87.1% had spontaneous recovery after a mean of 2.4 months. A lesion in the brainstem region occurred in 6.8% (p<0.001). CONCLUSION: Swallowing disorders occurred in almost 20% of the population and most of the difficulty in swallowing found was mild. The predictors for swallowing disorders were older age, diabetes mellitus and lesions in the brainstem region.

scholarly journals Sociodemographic and Clinical Factors of Acute Ischemic Stroke

2017 ◽  
Vol 33 (1) ◽  
pp. 18-23
Author(s):  
Md Amir Hossain ◽  
MA Hannan ◽  
Kanuj Kumar Barman ◽  
Prodip Kumar Biswas ◽  
Merina Jahan ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Ischemic Stroke ◽  
Hospital Stay ◽  
Heart Diseases ◽  
Current Smoker ◽  
Ischemic Heart ◽  
University Hospital ◽  
Female Ratio ◽  
The Mean

An observational study was carried out to analyze prevalence of risk factors for ischemic stroke in hospitalized patient in a university hospital. Ninety patients were chosen by using purposive sampling technique. The mean age of patients was 59.01±9.87 years varied from 30 to 75 years and male to female ratio was 1.2:1. Highest incidence of stroke was between the 6th and 7th decade. Patients came from both rural 49 (54.4%) and urban 41 (45.6) area. Most of them belonged to the lower-middle group 70 (84.8%). Regarding education 47 (52.2%) patients had primary level education and 8 (8.9%) patients were illiterate. It was observed that among them current smoker were 30 (33.3%) and ex-smoker 17 (18.9%). It was also observed that 52 (57.8%) patients had hypertension and 32 (35.6%) had diabetes mellitus (DM). Ischemic heart disease was present in 14 (15.6%) patients. By Oxford shire classification of stroke, it was observed that PAC is common 51 (56.7%) among all forms. Majority 38 (42.2%) of patients had hospital stay of 11-15 days. The mean hospital stay was found 13.68±6.6 days. This study found that cigarette smoking, hypertension, diabetes mellitus and ischemic heart diseases are the major risk factors prevalent in our community while other risk factors demand further study. Bangladesh Journal of Neuroscience 2017; Vol.  33 (1): 18-23

scholarly journals In-hospital recurrence in a Chinese large cohort with acute ischemic stroke

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Fan Yu ◽  
Xiaolu Liu ◽  
Qiong Yang ◽  
Yu Fu ◽  
Dongsheng Fan
Keyword(s):  
Risk Factors ◽  
Ischemic Stroke ◽  
Hospital Mortality ◽  
Hospital Stay ◽  
Acute Ischemic Stroke ◽  
Recurrent Events ◽  
Early Stage ◽  
High Rate ◽  
Large Artery ◽  
Stroke Event

Abstract Acute ischemic stroke (AIS) has a high risk of recurrence, particularly in the early stage. The purpose of this study was to assess the frequency and risk factors of in-hospital recurrence in patients with AIS in China. A retrospective analysis was performed of all of the patients with new-onset AIS who were hospitalized in the past three years. Recurrence was defined as a new stroke event, with an interval between the primary and recurrent events greater than 24 hours; other potential causes of neurological deterioration were excluded. The risk factors for recurrence were analyzed using univariate and logistic regression analyses. A total of 1,021 patients were included in this study with a median length of stay of 14 days (interquartile range,11–18). In-hospital recurrence occurred in 58 cases (5.68%), primarily during the first five days of hospitalization. In-hospital recurrence significantly prolonged the hospital stay (P < 0.001), and the in-hospital mortality was also significantly increased (P = 0.006). The independent risk factors for in-hospital recurrence included large artery atherosclerosis, urinary or respiratory infection and abnormal blood glucose, whereas recurrence was less likely to occur in the patients with aphasia. Our study showed that the patients with AIS had a high rate of in-hospital recurrence, and the recurrence mainly occurred in the first five days of the hospital stay. In-hospital recurrence resulted in a prolonged hospital stay and a higher in-hospital mortality rate.

scholarly journals Factors associated with 90-day acute ischemic stroke in patients ≥70 years old with total hip arthroplasty for hip fracture

2022 ◽  
Vol 22 (1) ◽  
Author(s):  
Rui He ◽  
Guoyou Wang ◽  
Ting Li ◽  
Huarui Shen ◽  
LijuanZhang
Keyword(s):  
Risk Factors ◽  
Atrial Fibrillation ◽  
Logistic Regression ◽  
Ischemic Stroke ◽  
Hip Fracture ◽  
Total Hip Arthroplasty ◽  
Older Age ◽  
Factors Associated ◽  
Independent Risk Factors ◽  
D Dimer

Abstract Background Postoperative ischemic stroke is a devastating complication following total hip arthroplasty (THA). The purpose of the current study was to investigate the incidence of postoperative acute ischemic stroke (AIS) in patients ≥70 years old with THA for hip fracture after 90 days and independent risk factors associated with 90-day AIS. Methods A multicenter retrospective study was conducted, patients ≥70 years old with THA for hip fracture under general anesthesia were included from February 2017 to March 2020. Patients with AIS within 90 days after THA were identified as AIS group; patients with no AIS were identified as no AIS group. The baseline characteristics and risk factors were collected, multivariable logistic regression was used to identify independent risk factors of 90-dayAIS. Results: 2517 patients (mean age 76.18 ± 6.01) were eligible for inclusion in the study. 2.50% (63/2517) of patients had 90-day AIS. Compared with no AIS, older age, diabetes, hyperlipidemia, atrial fibrillation (AF) and higher D-dimer value were more likely in patients with AIS (P < 0.05), and anticoagulant use was fewer in patients with AIS. ROC curve analysis showed that the optimal cut point of D-dimer for AIS was D-dimer≥4.12 μg/ml. Multivariate logistic regression analysis showed that D-dimer≥4.12 μg/ml [adjusted odds ratio (aOR), 4.44; confidence interval (CI), 2.50–7.72; P < 0.001], older age (aOR, 1.08; 95%CI, 1.03–1.12; P < 0.001), hyperlipidemia (aOR, 2.28; 95%CI, 1.25–4.16; P = 0.007), atrial fibrillation (aOR, 5.84; 95% CI, 1.08–15.68; P = 0.001), and diabetes (aOR, 2.60; 95% CI, 1.56–4.39; P < 0.001) were associated with increased risk of 90-day AIS after THA. Conclusions In conclusion, we found that the incidence of 90-day AIS in patients≥70 years old with THA for hip fracture was 2.5%. Older age, diabetes, hyperlipidemia, AF and higher D-dimer value were independent risk factors for 90-day AIS in patients≥70 years old with THA for hip fracture.

scholarly journals FAKTOR-FAKTOR RISIKO STROKE PADA PENYAKIT GINJAL KRONIK STADIUM V YANG MENJALANI HEMODIALISIS

2018 ◽  
Vol 35 (2) ◽  
Author(s):  
Susanti Dwi Ariani ◽  
Dodik Tugasworo ◽  
Maria Imakulata Widiastuti Samekto
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Chronic Kidney Disease ◽  
Multivariate Analysis ◽  
Ischemic Stroke ◽  
Kidney Disease ◽  
Case Group ◽  
Chi Square ◽  
Stroke Incidence ◽  
Incidence And Mortality

RISK FACTORS OF STROKE IN STAGE V CHRONIC KIDNEY DISEASE WHO UNDERWENT HEMODIALYSISABSTRACTIntroduction: Chronic kidney disease (CKD) and end-stage renal disease are associated with a significantly in- creased risk of stroke. Incidence and mortality of stroke in CKD patients is higher rather than among the general popula- tion. Stroke in hemodialysis patients is also associated with high mortality.Aims: To analyze risk factors that have a relationship with the occurrence of stroke in patients with stage V CKD who underwent hemodialysis in Dr. Kariadi Hospital, Semarang.Method: A case control with retrospective cohort study of patients diagnosed with stage V CKD undergoing hemo- dialysis in Dr. Kariadi Hospital, Semarang, from March 2016 to August 2017. Subject was divided into case group, who experienced stroke, and control group, who did not experience stroke. Bivariate analysis was performed with Chi-square test, multivariate analysis with logistic regression test and rasio Odds.Results: There were 140 subjects with stage V CKD, 70 subjects in each groups. In case group, 85.7% experienced ischemic stroke while the rest hemorrhagic stroke. The duration of hemodialysis was related to the incidence of stroke. In multivariate analysis, patients with diabetes mellitus were more likely to have a stroke by 0.14 times compared to patients who did not have diabetes mellitus, and patients who underwent hemodialysis >12 months, were more likely to have a stroke 4.05 times greater than patients who underwent hemodialysis <12 months.Discussion: There is a relationship between diabetes mellitus and duration of hemodialysis with the occurrence of ischemic stroke, in stage V CKD patients who underwent hemodialysis.Keywords: Chronic kidney disease, hemodialysis, strokeABSTRAKPendahuluan: Penyakit ginjal kronik (PGK) dan penyakit ginjal stadium akhir terkait dengan peningkatan risiko yang signifikan dari stroke. Insiden dan mortalitas stroke pada pasien PGK lebih tinggi dibandingkan populasi umum. Stroke pada pasien dialisis juga dihubungkan dengan mortalitas yang tinggi.Tujuan: Untuk menganalisis faktor-faktor risiko yang memengaruhi terjadinya stroke pada pasien dengan PGK stadium V yang menjalani hemodialisis (HD) di RSUP Dr. Kariadi, Semarang.Metode: Penelitian kasus kontrol dengan pendekatan kohort retrospektif terhadap pasien penyakit ginjal kronik stadium V yang menjalani HD di RSUP Dr. Kariadi, Semarang dari bulan Maret 2016 hingga Agustus 2017. Subjek dibagi ke dalam kelompok kasus, yaitu yang mengalami stroke dan kelompok kontrol yang tidak mengalami stroke. Dilakukan analisis bivariat dengan uji Chi-square dan analisis multivariat dengan uji regresi logistik serta rasio Odds.Hasil: Didapatkan 140 subjek dengan PGK stadium V yang masing-masing kelompok terdiri dari 70 orang. Pada kelompok kasus, sebanyak 85,7% adalah stroke iskemik dan sisanya stroke hemoragik. Lama HD berhubungan dengan kejadian stroke. Pada uji multivariat, subjek yang menderita diabetes melitus (DM) berisiko mengalami stroke sebesar 0,14 kali dibandingkan yang tidak DM dan subjek yang menjalani HD >12 bulan berisiko mengalami stroke 4,05 kali lebih besar dibandingkan yang menjalani HD <12 bulan.Diskusi: Terdapat pengaruh faktor risiko DM dan lama hemodialisis terhadap kejadian stroke iskemik pada pasien PGK stadium V yang menjalani HD.Kata kunci: Hemodialisis, penyakit ginjal kronik, stroke

Abstract TMP58: Determinants of White Matter Hyperintensity in Acute Ischemic Stroke Patients: The MRI-GENIE Study

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Anne-Katrin Giese ◽  
Markus D Schirmer ◽  
Adrian V Dalca ◽  
Ramesh Sridharan ◽  
Lisa Cloonan ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Ischemic Stroke ◽  
White Matter ◽  
Stroke Risk ◽  
Smoking Status ◽  
Vascular Risk Factors ◽  
White Matter Hyperintensity ◽  
Vascular Risk ◽  
Prior Stroke

Introduction: White matter hyperintensity (WMH) is a highly heritable trait and a significant contributor to stroke risk and severity. Vascular risk factors contribute to WMH severity; however, knowledge of the determinants of WMH in acute ischemic stroke (AIS) is still limited. Hypothesis: WMH volume (WMHv) varies across AIS subtypes and is modified by vascular risk factors. Methods: We extracted WMHv from the clinical MRI scans of 2683 AIS subjects from the MRI-Genetics Interface Exploration (MRI-GENIE) study using a novel fully-automated, volumetric analysis pipeline. Demographic data, stroke risk factors and stroke subtyping for the Causative Classification of Stroke (CCS) were performed at each of the 12 international study sites. WMHv was natural log-transformed for linear regression analyses. Results: Median WMHv was 5.7cm 3 (interquartile range (IQR): 2.2-12.8cm 3 ). In univariable analysis, age (63.1 ± 14.7 years, β=0.04, SE=0.002), prior stroke (10.2%, β=0.66, SE=0.08), hypertension (65.4%, β=0.75, SE=0.05), diabetes mellitus (23.1%, β=0.35, SE=0.06), coronary artery disease (17.6%, β=0.04, SE=0.002), and atrial fibrillation (14.6%, β=0.48, SE=0.07) were significant predictors of WMHv (all p<0.0001), as well as smoking status (52.2%, β=0.15, SE=0.05, p=0.005), race (16.5% Non-Caucasian, β=0.25, SE=0.07) and ethnicity (8.2% Hispanic, β=0.30, SE=0.11) (all p<0.01). In multivariable analysis, age (β=0.04, SE=0.002), prior stroke (β=0.56, SE=0.08), hypertension (β=0.33, SE=0.05), smoking status (β=0.16, SE=0.05), race (β=0.42, SE=0.06), and ethnicity (β=0.34, SE=0.09) were independent predictors of WMHv (all p<0.0001), as well as diabetes mellitus (β=0.13, SE=0.06, p=0.02). WMHv differed significantly (p<0.0001, unadjusted) across CCS stroke subtypes: cardioembolic stroke (8.0cm 3 , IQR: 4.2-15.4cm 3 ), large-artery stroke (6.9cm 3 , IQR: 3.1-14.7cm 3 ), small-vessel stroke (5.8cm 3 , IQR: 2.5-13.5cm 3 ), stroke of undetermined (4.7cm 3 , IQR: 1.6-11.0cm 3 ) or other (2.55cm 3 , IQR: 0.9-8.8cm 3 ) causes. Conclusion: In this largest-to-date, multicenter hospital-based cohort of AIS patients with automated WMHv analysis, common vascular risk factors contribute significantly to WMH burden and WMHv varies by CCS subtype.

Profiling of the Risk Factors and Designing of a Model to Identify Ischemic Stroke in Patients with Non-Hodgkin Lymphoma: A Multicenter Retrospective Study

2020 ◽  
Vol 83 (1) ◽  
pp. 41-48
Author(s):  
Yunfei Wei ◽  
Qingqing Yang ◽  
Qixiong Qin ◽  
Ya Chen ◽  
Xuemei Quan ◽  
...  
Keyword(s):  
Risk Factors ◽  
Ischemic Stroke ◽  
Retrospective Study ◽  
Hodgkin Lymphoma ◽  
Multiple Logistic Regression Analysis ◽  
Elevated Serum ◽  
Non Hodgkin Lymphoma ◽  
Independent Risk Factors ◽  
Identification Model ◽  
D Dimer

Background: The occurrence of ischemic stroke in patients with non-Hodgkin lymphoma (NHL) is not well understood. This study aimed to determine independent risk factors to identity ischemic stroke in non-Hodgkin lymphoma-associated ischemic stroke (NHLAIS) patients. Methods: This retrospective study was conducted on NHLAIS patients and age- and gender-matched NHL patients. We collected clinical data of patients in both groups and used multiple logistic regression analysis to identify independent risk factors for NHLAIS. A receiver operating characteristic (ROC) analysis was used to establish an identification model based on potential risk factors of NHLAIS. Results: Sixty-three NHLAIS patients and 63 NHL patients were enrolled. Stage III/IV (58/63, 92.1%) and multiple arterial infarcts (44/63, 69.8%) were common among NHLAIS patients. Notably, NHLAIS patients had higher levels of serum fibrinogen (FIB), D-dimer, and ferritin (SF) and prolonged thromboplastin time and prothrombin time (PT) compared with NHL patients (all p < 0.05). Elevated FIB, D-dimer, and SF and prolonged PT were independent risk factors for NHLAIS. The area under the ROC curve of the identification model of NHLAIS patients was largest compared to that of other risk factors (0.838, 95% confidence interval: 0.759–0.899) (p < 0.05). Conclusion: This study reveals that elevated serum FIB, D-dimer, and SF and prolonged PT are potential independent risk factors of NHLAIS. The identification model established in this study may help monitor NHL patients who are at high risk of developing NHLAIS.

scholarly journals Atrial fibrillation risk factors in patients with ischemic stroke

2021 ◽  
Vol 17 (1) ◽  
pp. 19-24
Author(s):  
Paweł Wańkowicz ◽  
Przemysław Nowacki ◽  
Monika Gołąb-Janowska
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Atrial Fibrillation ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Nonvalvular Atrial Fibrillation ◽  
Multivariable Logistic Regression Model ◽  
Lipid Metabolism Disorders

IntroductionAtrial fibrillation (AF) is the most common heart arrhythmia. The condition is known to increase the risk of ischemic stroke (IS). Classical risk factors for the development of AF include advanced age, hypertension, diabetes mellitus, coronary heart disease and lipid metabolism disorders. Importantly, these are also recognized risk factors for ischemic stroke. Therefore, the purpose of this study was to investigate AF risk factors in patients with IS.Material and methodsThis is single-centre retrospective study which included 696 patients with acute ischemic stroke and nonvalvular atrial fibrillation and 1678 patients with acute ischemic stroke without atrial fibrillation.ResultsIn this study we found – based on a univariable and multivariable logistic regression model – that compared to the patients with IS without AF, the group of patients which suffered from IS with nonvalvular atrial fibrillation (NVAF) had a higher proportion of patients who smoked cigarettes (OR = 15.742, p < 0.01; OR = 41.1, p < 0.01), had hypertension (OR = 5.161, p < 0.01; OR = 5.666, p < 0.01), history of previous stroke (OR = 3.951, p < 0.01; OR = 4.792, p < 0.01), dyslipidemia (OR = 2.312, p < 0.01; OR = 1.592, p < 0.01), coronary heart disease (OR = 2.306, p < 0.01; OR = 1.988, p < 0.01), a greater proportion of female patients (OR = 1.717, p < 0.01; OR = 2.095, p < 0.01), higher incidence of diabetes mellitus (OR = 1.341, p < 0.01; OR = 1.261, p = 0.106) and more patients in old age (OR = 1.084, p < 0.01; OR = 1.101, p < 0.01).ConclusionsOur study demonstrates a need for thorough and systematic monitoring of post-ischemic stroke patients in whom AF has not been detected and who display other important risk factors. Regardless of the stroke, these factors may be responsible for development of AF.

scholarly journals Prevalence of Stroke Risk Factors and Their Distribution Based on Stroke Subtypes in Gorgan: A Retrospective Hospital-Based Study—2015-2016

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Mahdi Habibi-koolaee ◽  
Leila Shahmoradi ◽  
Sharareh R. Niakan Kalhori ◽  
Hossein Ghannadan ◽  
Erfan Younesi
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Ischemic Stroke ◽  
Stroke Risk ◽  
Healthcare Providers ◽  
Age Groups ◽  
University Hospital ◽  
Stroke Registry ◽  
Stroke Risk Factors ◽  
Stroke Subtypes

Background. Stroke is a leading cause of death and disability worldwide. According to the Iranian Ministry of Medical Health and Education, out of 100,000 stroke incidents in the country, 25,000 lead to death. Thus, identifying risk factors of stroke can help healthcare providers to establish prevention strategies. This study was conducted to investigate the prevalence of stroke risk factors and their distribution based on stroke subtypes in Sayad Shirazi Hospital, Gorgan, Northeastern Iran. Material and Methods. A retrospective hospital-based study was conducted at Sayad Shirazi Hospital in Gorgan, the only referral university hospital for stroke patients in Gorgan city. All medical records with a diagnosis of stroke were identified based on the International Classification of Diseases, Revision 10, from August 23, 2015, to August 22, 2016. A valid and reliable data gathering form was used to capture data about demographics, diagnostics, lifestyle, risk factors, and medical history. Results. Out of 375 cases, two-thirds were marked with ischemic stroke with mean ages (standard deviation) of 66.4 (14.2) for men and 64.6 (14.2) for women. The relationship between stroke subtypes and age groups (P=0.008) and hospital outcome (P=0.0001) was significant. Multiple regression analysis showed that hypertension (Exp. (B) =1.755, P=0.037), diabetes mellitus (Exp. (B) =0.532, P=0.021), and dyslipidemia (Exp. (B) =2.325, P=0.004) significantly increased the risk of ischemic stroke. Conclusion. Overall, hypertension, diabetes mellitus, and dyslipidemia were the major risk factors of stroke in Gorgan. Establishment of stroke registry (population- or hospital-based) for the province is recommended.

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