Diabetes mellitus (DM) is recognized as an important risk factor for stroke and might theoretically influence post-stroke level of disability, increasing the extension of the cerebral injured area. However, results of the few researches aimed at studying this influence are contradictory; moreover, the effect of DM on motor recovery has not been extensively studied. The aim of this study was to investigate the effect of DM on both functional and motor recovery. Show
MethodsA total of 395 acute patients with first stroke were selected in a rehabilitation department and divided into two groups on the basis of the presence or absence of DM (DM+ and DM−, respectively). Outcome measures were the Barthel Index, the Fugl-Meyer Assessment Scale, and the mobility part of the motor assessment chart according to Lindmark and Hamrin. Participants were assessed at admission to department (T1, 13.9±7.9 days from stroke onset), at discharge (T2, 40.1±13.4), and at follow-up (T3, 84.2±14.3). A 2×3 analysis of variance with repeated measures was performed to verify the effect of group and of phase of assessment on motor and functional measures and their interaction. ResultsDM+ and DM− groups included 93 and 302 patients, respectively. Both groups showed a significant and progressive improvement in all outcome measures (P<.001), but no interaction was found between group and phase of assessment, which means that motor and functional recovery was similar in the two groups. ConclusionResults suggest that diabetes has no influence on motor and functional outcome within the acute and post-acute phase after stroke. Further research should investigate motor recovery in a longer-term period and with larger samples. IntroductionDiabetes mellitus (DM) represents a strong independent risk factor for stroke (Bell, 1994, Goldstein et al., 2001, Stegmayr and Asplund, 1995). Generally, it has been associated with ischemic stroke (Folsom et al., 1999, Gorelick, 2002), while its association with hemorrhagic stroke is not clear (Mankowsky & Ziegler, 2004). Diabetic patients have higher association with other cardiovascular risk factors such as hypertension, hyperlipidemia, obesity, and insulin resistance, which make the metabolic syndrome (Magliano, Shaw, & Zimmer, 2006). While the full entity of metabolic syndrome was associated with the higher risk of stroke (Najarian et al., 2006), the association between any of the individual components of metabolic syndrome and the specific risk of stroke in persons with metabolic syndrome is uncertain (Isomaa et al., 2001). Some authors showed a correlation between history of diabetes and mortality (Hamidon and Raymond, 2003, Jorgensen et al., 1994) and morbidity (Toto, 2005), probably due to microangiopathy (Kawai et al., 1998). However, other authors did not find differences between patients with and without diabetes in terms of mortality 1 year after ischemic stroke (Kissela et al., 2005). DM may influence the post-stroke clinical evolution, especially in the initial phase, increasing the extension of the cerebral injured area (Siemkowicz & Gjedde, 1980), but, at the moment, there is no full accordance on the association of hyperglycemia in the acute stage of stroke with mortality and neurological recovery (Colagiuri et al., 2002, Mankovsky et al., 1996). In fact, the correlation between stroke type, lesion sites, and outcome in diabetics is still not clear Karapanayiotides et al., 2004). Few studies have been aimed at studying the influence of diabetes on functional outcomes after stroke, and their results are not conclusive (Pulsinelli et al., 1983, Toni et al., 1992). Moreover, recovery has been assessed only in terms of disability (Karapanayiotides et al., 2004, Megherbi et al., 2003) or handicap (Megherbi et al., 2003), which can be influenced by comorbidity (Gainotti, Antonucci, Marra, & Paolucci, 2001) or social factors (Gilbertson et al., 2000). For these reasons, scales for motor impairment should be included in the assessment of recovery. The aim of this study was to estimate the influence of DM on functional and motor recovery from stroke. Section snippetsSettingThe study was performed in the Department of Rehabilitation Medicine of a city hospital, which is the only one serving a territory of 365 km2 with a population, at the start of the study, of 224,392 (source: Istituto Nazionale di Statistica, Census 1997). Patients coming from the other departments of the same hospital with indication of motor rehabilitation are selected by department physicians, according to the clinical indication of rehabilitation, the level of disability, and the clinical ResultsA total of 395 patients finished the study, after 23 participants (6 with diabetes) withdrew from the study because of changes in their personal circumstances and 19 others pulled out (4 with diabetes) because of serious health problems. DM was diagnosed in 93 patients (23.5%). Therefore, the DM+ group and the DM− group included 93 patients (age, 74.4±6.3) and 302 patients (age, 71.6±7.3), respectively. Table 1 compares gender and age distribution and patients' general clinical characteristics, DiscussionFor many years, DM has been shown to be an independent risk factor for stroke, especially for ischemic stroke (Bell, 1994, Stegmayr and Asplund, 1995). However, investigations about the influence of the DM on functional recovery after stroke have been undertaken only recently. Our results show no differences between the DM− and the DM+ groups in terms of severity of hemiplegia at baseline and in all the outcome measures at each assessment session. Some previous studies reported similar results ( References (49)
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The Copenhagen Stroke StudyStroke(1994) 2010, Diabetes and Metabolism Show abstractNavigate Down Stroke is the leading cause of disability and the second most frequent cause of death worldwide. On the one hand, diabetic patients have a 1.5 to 3-times higher risk of stroke, especially cerebral infarction, than non-diabetic subjects. This excess risk, which is particularly pronounced in younger individuals and women, can be reduced by effective therapeutic strategies aimed at improving glycaemic control and the management of co-morbid conditions such as hypertension and dyslipidaemia. On the other hand, the prevalence of diabetes in stroke patients is between 10 and 20%, and has been increasing over the last 20 years, probably in response to rising rates of overweight and obesity in the general population and other factors such as a sedentary lifestyle. Even though diabetes has long been considered a specific risk factor of lacunar stroke, recent epidemiological studies have demonstrated that this risk factor was in fact not associated with any ischemic stroke subtype. Finally, it has been suggested that diabetic stroke patients have poorer motor and functional outcomes, and are at a higher risk of dementia, recurrent stroke and death. Les accidents vasculaires cérébraux représentent la première cause de handicap et la seconde cause de décès à travers le monde. Les patients diabétiques ont un risque 1,5 à 3 fois plus élevé d’accident vasculaire cérébral, et en particulier d’infarctus cérébral, que les non diabétiques. Cet excès de risque, qui est particulièrement marqué chez les sujets jeunes et les femmes, peut être réduit par des stratégies thérapeutiques efficaces qui visent au contrôle glycémique et à la prise en charge des co-morbidités telles que l’hypertension artérielle ou encore les dyslipidémies. D’autre part, la prévalence du diabète au sein des patients victimes d’un accident vasculaire cérébral est évaluée à 10 à 20%, et est en augmentation au cours des 20 dernières années, probablement du fait de l’accroissement de la prévalence du surpoids et de l’obésité dans la population générale, et en lien avec d’autres facteurs tels que la sédentarité. Alors que le diabète a longtemps été considéré comme un facteur de risque spécifique des infarctus cérébraux lacunaires, les études épidémiologiques récentes ont démontré que ce facteur de risque n’était en fait associé à aucun sous-type étiologique particulier d’infarctus cérébral. Enfin, les patients diabétiques qui présentent un accident vasculaire cérébral ont un pronostic moteur et fonctionnel moins bon, et sont à plus haut risque de démence, récidive ou décès. 2022, Healthcare (Switzerland) 2021, Frontiers in Neurology 2021, Translational Stroke Research 2021, Journal of Neurology, Neurosurgery and Psychiatry 2020, American Journal of Physical Medicine and Rehabilitation Research article Archives of Physical Medicine and Rehabilitation, Volume 98, Issue 11, 2017, pp. 2274-2279 Show abstractNavigate Down To use latent growth curve and longitudinal structural equation modeling to examine the 2-year trajectory of satisfaction with appearance in adults with burn injury, and that trajectory's effect on depression 5 years after burn injury. Data were collected at discharge after burn injury hospitalization and at 6 months, 1 year, 2 years, and 5 years postdischarge. The Burn Model Systems (BMS) program consisted of a data center and 5 participating burn centers. The sample consisted of adults (N=720) who were hospitalized for a burn injury, enrolled in the BMS database, and completed measures at least once throughout the 5-year study duration. Not applicable. Satisfaction With Appearance Scale and Patient Health Questionnaire-9 (depression). Women with burn injury reported higher levels of dissatisfaction with their appearance in comparison to their male counterparts over the 2 years after discharge. Individuals with a larger total body surface area (TBSA) affected by a burn also reported greater body dissatisfaction across the postdischarge 2-year period. Results did not support significant gender or TBSA differences in the rate of change of body dissatisfaction trajectories across these 2 years. Individuals with greater body dissatisfaction at 6 months postdischarge tended to have higher depressive symptoms at 5 years. Six month postdischarge, body dissatisfaction scores also mediated the effects of gender and TBSA on depressive symptoms 5 years later. It is recommended that individuals with heightened body image dissatisfaction after a burn, particularly women and those with larger TBSA, participate in evidence-based psychosocial interventions to improve long-term adjustment. Research article Journal of Clinical Epidemiology, Volume 79, 2016, pp. 140-149 Show abstractNavigate Down In randomized controlled trials (RCTs), outcome variables are often patient-reported outcomes measured with questionnaires. Ideally, all available item information is used for score construction, which requires an item response theory (IRT) measurement model. However, in practice, the classical test theory measurement model (sum scores) is mostly used, and differences between response patterns leading to the same sum score are ignored. The enhanced differentiation between scores with IRT enables more precise estimation of individual trajectories over time and group effects. The objective of this study was to show the advantages of using IRT scores instead of sum scores when analyzing RCTs. Two studies are presented, a real-life RCT, and a simulation study. Both IRT and sum scores are used to measure the construct and are subsequently used as outcomes for effect calculation. The bias in RCT results is conditional on the measurement model that was used to construct the scores. A bias in estimated trend of around one standard deviation was found when sum scores were used, where IRT showed negligible bias. Accurate statistical inferences are made from an RCT study when using IRT to estimate construct measurements. The use of sum scores leads to incorrect RCT results. Research article Differential kinematic features of the hyoid bone during swallowing in patients with Parkinson’s diseaseJournal of Electromyography and Kinesiology, Volume 47, 2019, pp. 57-64 Show abstractNavigate Down This study aimed to investigate spatiotemporal characteristics of the hyoid bone during swallowing in patients with Parkinson’s disease (PD) and dysphagia. Spatiotemporal data of the hyoid bone was obtained from videofluoroscopic images of 69 subjects (23 patients with PD, 23 age- and sex-matched healthy elderly controls, and 23 healthy young controls). Normalized profiles of displacement/velocity were analyzed during different periods (percentile) of swallowing using functional regression analysis, and the maximal values were compared between the groups. Maximal horizontal displacement and velocity were significantly decreased during the initial backward (P = 0.006 and P < 0.001, respectively) and forward (P = 0.008 and P < 0.001, respectively) motions in PD patients compared to elderly controls. Maximal vertical velocity was significantly lower in PD patients than in elderly controls (P = 0.001). No significant difference was observed in maximal displacement and velocity in both horizontal and vertical planes between the healthy elderly and young controls, although horizontal displacement was significantly decreased during the forward motion (51st–57th percentiles) in the elderly controls. In conclusion, reduced horizontal displacement and velocity of the hyoid bone during the forward motion would be due to combined effects of disease and aging, whereas those over the initial backward motion may be considered specific to patients with PD. Research article Multifactorial assessment of measurement errors affecting intraoral quantitative sensory testing reliabilityScandinavian Journal of Pain, Volume 16, 2017, pp. 93-98 Show abstractNavigate Down Measurement error of intraoral quantitative sensory testing (QST) has been assessed using traditional methods for reliability, such as intraclass correlation coefficients (ICCs). Most studies reporting QST reliability focused on assessing one source of measurement error at a time, e.g., inter- or intra-examiner (test–retest) reliabilities and employed two examiners to test inter-examiner reliability. The present study used a complex design with multiple examiners with the aim of assessing the reliability of intraoral QST taking account of multiple sources of error simultaneously. Four examiners of varied experience assessed 12 healthy participants in two visits separated by 48 h. Seven QST procedures to determine sensory thresholds were used: cold detection (CDT), warmth detection (WDT), cold pain (CPT), heat pain (HPT), mechanical detection (MDT), mechanical pain (MPT) and pressure pain (PPT). Mixed linear models were used to estimate variance components for reliability assessment; dependability coefficients were used to simulate alternative test scenarios. Most intraoral QST variability arose from differences between participants (8.8–30.5%), differences between visits within participant (4.6–52.8%), and error (13.3–28.3%). For QST procedures other than CDT and MDT, increasing the number of visits with a single examiner performing the procedures would lead to improved dependability (dependability coefficient ranges: single visit, four examiners = 0.12–0.54; four visits, single examiner = 0.27–0.68). A wide range of reliabilities for QST procedures, as measured by ICCs, was noted for inter- (0.39–0.80) and intra-examiner (0.10–0.62) variation. Reliability of sensory testing can be better assessed by measuring multiple sources of error simultaneously instead of focusing on one source at a time. In experimental settings, large numbers of participants are needed to obtain accurate estimates of treatment effects based on QST measurements. This is different from clinical use, where variation between persons (the person main effect) is not a concern because clinical measurements are done on a single person. Future studies assessing sensory testing reliability in both clinical and experimental settings would benefit from routinely measuring multiple sources of error. The methods and results of this study can be used by clinical researchers to improve assessment of measurement error related to intraoral sensory testing. This should lead to improved resource allocation when designing studies that use intraoral quantitative sensory testing in clinical and experimental settings. Research article Exercise demonstrates a dose-response effect on insulin resistance, fatness, and visceral fatThe Journal of Pediatrics, Volume 162, Issue 3, 2013, pp. 649-650 Research article Poststroke glycemic variability increased recurrent cardiovascular events in diabetic patientsJournal of Diabetes and its Complications, Volume 31, Issue 2, 2017, pp. 390-394 Show abstractNavigate Down The association between blood glucose fluctuation and poststroke cardiovascular outcome has been largely unknown. This study attempted to evaluate whether initial glycemic variability increases cardiovascular events and mortality in diabetic patients with acute ischemic stroke. We recruited consecutive patients with acute ischemic stroke or transient ischemic attack from March 2005 to December 2014. A total of 674 patients with diabetes within 72 hours from stroke onset were included. The serum glucose levels were checked 4 times per day during the initial 3 hospital days. J-index, coefficients of variation and standard deviation were calculated for glycemic variability. Composite outcome (nonfatal stroke, nonfatal myocardial infarction, cardiovascular death) and all-cause mortality at 3 months were prospectively captured. Multivariable logistic regression analyses were done adjusting for covariates which can influence on cardiovascular outcomes. Cardiovascular composite outcomes at 3 months were identified in 71 (10.5%): 11 (6.5%), 15 (8.9%), 18 (10.7%) and 27 (16.0%) in each J-index quartiles (P = .035). The highest quartile of J-index had significantly higher cardiovascular death (4.2%, 3.6%, 6.5% and 11.8%; P = .008). In multivariable logistic regression, age (odds ratio [OR] 1.045; 95% confidence interval [CI] 1.006–1.084), P = .021), NIH stroke scale (OR 1.078; 95% CI 1.024–1.134, P = .004), and the highest J-index (OR 12.058; 95% 1.890–76.912, P = .008) were significantly associated with 3-month cardiovascular composite outcome. Increased cardiovascular outcomes in highest J-index quartile were similar in both euglycemic and hyperglycemic groups. The initial glycemic variability might increase cardiovascular events in acute ischemic stroke patients with diabetes. What happens when a diabetic has a stroke?Diabetes increases the chance of having a stroke, which can damage brain tissue and cause disability or even death. To prevent stroke, people with diabetes should control blood glucose, blood pressure, cholesterol and weight.
What are the signs of a diabetic stroke?Symptoms. Sudden numbness or weakness in the face, arm, or leg (especially on one side of the body). Trouble speaking or understanding words or simple sentences.. Sudden blurred vision or worse vision in one or both eyes.. Sudden trouble swallowing.. Dizziness, loss of balance, or lack of coordination.. How high does your sugar have to be to have a stroke?Elevated blood glucose is common in the early phase of stroke. The prevalence of hyperglycemia, defined as blood glucose level >6.0 mmol/L (108 mg/dL), has been observed in two thirds of all ischemic stroke subtypes on admission and in at least 50% in each subtype including lacunar strokes.
Can you recover from diabetic shock?With prompt treatment, a rapid recovery is possible. However, without early treatment, it can be fatal or result in brain damage. It can happen to a person with type 1 or type 2 diabetes.
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