Poststroke cognition and the fight against the hard problem: vascular neurologists, enter the arena!
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Alzheimer Disease↗
Biomedical subjects
Jan Lodder
Publications and source records attributed to Jan Lodder.
General and disease-specific risk factors for depression after ischemic stroke: a two-step Cox regression analysis.
BACKGROUND: Post-stroke depression (PSD) frequently complicates stroke and is associated with an impaired functional outcome, more severe cognitive deficits, a reduced quality of life, and a higher mortality. The aim of this study was to assess whether general risk factors for major depressive disorder (MDD) in the community are also risk factors for PSD, and to identify additional, stroke-related risk factors. METHODS: In a hospital setting, 190 consecutively admitted patients were assessed for MDD 1 month after stroke, and at follow-up after 3, 6, 9 and 12 months. A Cox model was created with four established risk factors for MDD in the community (female sex, prior personal history of depression, positive family history of depression, and somatic comorbidity other than stroke). Five potential disease-related risk factors (disability, cognitive deterioration, inter- and intrahemispheric lesion location, and generalized vascular damage on computed tomography (CT) scan) were then added individually to this model, to see whether these would improve the significance of the overall model. RESULTS: The Cox model of four general risk factors for depression in the community was shown to be a valid model to predict depression in stroke patients. Of the disease-specific factors, only incorporation of "disability" in this model improved its significance. CONCLUSION: Established risk factors for depression in the community are also predictors of depression in the first year after stroke. Disability is a non-specific disease-related variable that is associated with PSD. The contribution of stroke-specific factors may be less than is generally assumed.
Age Factors↗
The association between psychiatric and cognitive symptoms after stroke: a prospective study.
BACKGROUND: Stroke patients often have neuropsychiatric symptoms and cognitive deficits. The aim of this study was to investigate whether stroke patients with psychiatric symptoms are at increased risk of developing cognitive deficits. METHODS: Cognitive function (assessed with a neuropsychological test battery) and presence of psychiatric symptoms (assessed with the 90-item Symptom Checklist) were evaluated at 1, 6, 12 and 24 months after stroke. RESULTS: At baseline, 156 patients entered the study, 15 had a diagnosis of vascular dementia, 113 one of post-stroke mild cognitive impairment. Patients with psychiatric symptoms were found to be at increased risk of being diagnosed as having vascular dementia at baseline (OR = 6.9, CI = 1.3-36.8) and showed more decline on cognitive function 6 months after stroke. CONCLUSIONS: Patients with psychiatric symptoms after stroke are at increased risk of cognitive deficits and decline in cognitive functioning.
Aged↗
The sensitivity of somatic symptoms in post-stroke depression: a discriminant analytic approach.
BACKGROUND: Somatic and neurocognitive symptoms of depression may overlap with the physical symptoms of stroke, and thus make the diagnosis of post-stroke depression difficult. AIM: To assess the sensitivity of individual depressive symptoms and their contribution to the diagnosis of post-stroke depression. PATIENTS AND METHODS: Two hundred and six patients with first-ever stroke, participating in a longitudinal study, were administered the Structured Clinical Interview for DSM-IV and the Hamilton Depression Rating Scale (HAM-D). In a discriminant analysis the relative contribution of the individual HAM-D items to the diagnosis of major depressive disorder was evaluated. RESULTS: The cumulative incidence of post-stroke major depressive disorder was 32%. The discriminant model based on HAM-D item scores was highly significant (p<0.001) and classified 88.3% of patients correctly as depressed or nondepressed. As expected, 'depressed mood' discriminated best between depressed and non-depressed stroke patients. 'Reduced interests' had a relatively low sensitivity and may in part reflect 'apathy', which often is considered a separate construct. With the exception of 'suicidal thoughts', most psychological symptoms, such as 'hypochondriasis', 'lack of insight' and 'feelings of guilt', were not very sensitive. Some somatic symptoms, such as 'reduced appetite', 'psychomotor retardation', and 'fatigue' had high discriminative properties. CONCLUSION: Psychological, neurocognitive and somatic symptoms of depression differ among themselves in terms of diagnostic sensitivity, and should be considered individually. Some somatic symptoms are highly sensitive for depression and should not be neglected by following an 'exclusive' or 'attributional' approach to the diagnosis of PSD.
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Incidence of epilepsy and predictive factors of epileptic and non-epileptic seizures.
PURPOSE: To estimate the incidence of unprovoked seizures (US) and epilepsy in a general population from the southern part of the Netherlands, in relation to age, sex, etiology and seizure type, and to identify predictive factors of the epileptic and non-epileptic seizures. METHODS: All patients aged > or =14 years with a first seizure or who had undiagnosed seizures before the study period were included. Patients were identified from different sources and were independently evaluated and classified by a team of neurologists. A predictive profile for the occurrence of epileptic and non-epileptic seizures was obtained by stepwise logistic regression analysis. RESULTS: The overall annual incidence was 55/100,000 and 30/100,000 for US and epilepsy, respectively. The age-specific annual incidence of US and epilepsy increased with age and reached 120/100,000 and 62/100,000 for the > or =65 years of age group, respectively. The incidence of epilepsy and US in males was higher than in females and partial seizures prevailed over generalized seizures (40 versus 9/100,000). In up to 35% of the cases with US or epilepsy, the etiology was mainly cerebrovascular disease and brain tumors. Predictors for epileptic versus non-epileptic seizures of organic origin were an epileptiform EEG pattern (OR=0.06) versus a history of hypertension (OR=2.8) or cardiovascular disease (OR=5.4). Strong predictors for seizures of non-organic origin were female sex (OR=2.2) and head injury (OR=2.4). CONCLUSIONS: The incidence of US and epilepsy (overall, and age-, sex-, seizure-specific) was similar to those reported by other developed countries. The predictive factors found in this study may assist in the early diagnosis of seizures.
Adolescent↗
Cognitive functioning after stroke: a one-year follow-up study.
Cognitive disorders after stroke are one of the main causes of disability in daily activities. The main aim of this study was to investigate the frequency of post-stroke dementia, post-stroke mild cognitive impairment (MCI) and post-stroke amnestic MCI at different times after first-ever stroke; 196 patients were included in the study. In addition, cognitive disorders and their clinical course were studied. Frequency of post-stroke dementia was about 10% at all evaluation times; most patients had post-stroke MCI. Of the cognitive functions investigated, mental speed and calculation were most frequently affected. Performance on almost all cognitive tests was improved 6 and 12 months after stroke. Thus, while the frequency of post-stroke dementia is low, the frequency of post-stroke MCI is high, but improvement of cognitive function is possible.
Activities of Daily Living↗
Validation of the Oxfordshire Community Stroke Project syndrome diagnosis derived from a standard symptom list in acute stroke.
BACKGROUND: The Oxfordshire Community Stroke Project (OCSP) classification allows distinction of stroke subtypes with different prognosis. OCSP classification inferred from clinical signs filled out on patient entry forms has been used to facilitate subgroup analysis in clinical trials. However, such procedure has not been validated against clinical diagnosis. In preparation for an acute stroke trial, we set out to perform such a validation. METHODS: An OCSP syndrome diagnosis of 194 acute stroke patients in four hospitals was made within 24 h using a standard list with neurological signs, to be filled out by a stroke physician or neurological resident on duty. This was compared with OCSP diagnosis within 2 days of stroke onset by a (blinded) stroke neurologist ("gold standard"). RESULTS: The proportion of the OCSP syndromes was quite similar between standard list and clinical judgement. Sensitivity, specificity, positive and negative predictive values were respectively: LACS: 0.76, 0.88, 0.72, 0.90; TACS: 0.63, 0.93, 0.62, 0.88; PACS: 0.62, 0.76, 0.63, 0.75; POCS: 0.50, 0.98, 0.60, 0.97. Kappa for agreement was 0.63 (LACS), 0.37 (PACS), 0.50 (TACS). Neuro-imaging falsified stroke subtype diagnosis in 40 cases (20.6%) diagnosed using the standard list, and 42 (21.6%) diagnosed by stroke neurologists. CONCLUSION: A standard list-derived stroke syndrome diagnosis may be used as a clinical test to make an OCSP syndrome diagnosis in acute stroke. The use of such list in acute stroke trials may facilitate uniformity in early stroke subtype diagnosis. However, to increase such uniformity, ancillary methods such as acute MRI should be evaluated.
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Is there a side predilection for cerebrovascular disease?
In studies on carotid artery intima-media thickness and stroke, researchers implicitly assume that cerebrovascular abnormalities show a symmetrical distribution. To evaluate whether there is a difference in intima-media thickness between the 2 carotids, we compared left and right common carotid artery intima-media thickness as measured by B-mode ultrasonography in a group of 102 untreated hypertensive patients. This yielded a significant difference between both sides (left, 0.75+/-0.11 mm; right, 0.71+/-0.11 mm; P<0.001). This was associated with a higher cross-sectional area of the intima-media complex and a higher flow velocity at the left side. Arterial diameters, however, were not different. We also assessed whether there is a side preference with respect to cerebrovascular accidents. To this end, we explored our population-based Stroke Registry of 1843 subjects and indeed found a significantly higher incidence of nonlacunar cerebrovascular stroke at the left side, whereas lacunar infarcts were symmetrically distributed. Our findings suggest a predilection for cerebrovascular disease at the left side, which may be related to greater hemodynamic stress and intimal damage in the left carotid artery.
Adult↗
The diagnosis of epileptic and non-epileptic seizures.
The aim of this prospective population-based study was to systematically define a cluster of diagnostic items which can assist in the early identification and classification of epileptic and non-epileptic seizures. A cohort of patients aged > or =14 years, suspected with a first epileptic seizure, were included in this study. A team of neurologists evaluated and classified all cases. Diagnostic items for epileptic and non-epileptic seizures were identified using logistic regression analysis. Three hundred and fifty cases entered this study. Distinctive features for epileptic seizures were postictal confusion (OR 0.09), an epileptiform EEG pattern (OR 0.02), and abnormal neuroimaging findings (OR 0.07), whereas for non-epileptic seizures of organic origin there was a history of hypertension (OR 7.5), and provoking factors (OR 13.4) such as exercise and warmth. Diagnostic items for seizures of non-organic origin were a history of febrile seizures (OR 5.8), treatment by a psychologist or psychiatrist (OR 9.1), and presentiment of the seizure (OR 3.7) such as a feeling of choking and palpitations. A separate analysis for the patients who were systematically investigated provided some additional diagnostic items for the different subgroups of patients. For instance, back arching during the seizure for the patients with seizures of non-organic origin and female sex for the patients with non-epileptic seizures of organic origin.
Adolescent↗
Stroke subtype and mortality. a follow-up study in 998 patients with a first cerebral infarct.
The aim of this article was to study mortality following a first-ever cerebral infarct, accounting for ischemic stroke subtypes (lacunar, cardioembolic, atherothrombotic) and relevant prognostic variables. This study was done from s a hospital-based prospective registry of all patients with a first cerebral infarct, with a high case ascertainment of first and recurrent stroke by CT. We used a cross-sectional follow-up, using standardized methods. Analyses were performed using crude comparison of mortality data and death causes between stroke subtypes. We analyzed 30-day case fatality and 1-year mortality in 30-day survivors by means of logistic regression analysis, and mortality in 1-year survivors by means of Cox proportional hazard modeling. We also constructed Kaplan-Meier survival curves, and used log-rank testing for differences between stroke subtypes. Thirty-day case fatality was 10%, 1-year mortality 15%, and after 1-year mortality 16%. Mean follow-up was 691, SD 521 days. At the end of follow-up 36% of all patients had died. Mortality was at all three time points lowest in lacunar stroke (2, 12, and 14%, respectively), intermediate in atherothrombotic stroke (10, 16, and 15%, respectively), and highest in cardioembolic stroke (23, 22, and 21%, respectively). Death related to recurrent stroke was similar in all three stroke subtypes (13-16%). Although 30-day case fatality rate was low in lacunar stroke, a quarter of lacunar stroke patients had died at the end of follow-up. Diabetes mellitus, age, stroke subtype, and initial stroke severity were independent predictors of 30-day case fatality, but only diabetes and age were consistent independent predictors for later mortality. Recurrent stroke and heart failure were important death causes. Prognosis for (future) death following a first cerebral infarct differs between stroke subtypes; lacunar stroke patients have the lowest mortality. However, lacunar stroke cannot be regarded as a mild stroke type, as after 2 years more than a quarter of such stroke patients had died. Cardioembolic stroke patients have the grimmest prognosis: more than half of them had died within 1.5 years. Better prognosis for long-term survival following stroke may be achieved by therapies which lower the risk of stroke recurrence, provide better treatment of heart failure, or both.
Adult↗
Predicting the cost of hospital stay for stroke patients: the use of diagnosis related groups.
In order to provide tailor-made care, governments are considering the implementation of output-pricing based on hospital case-mix measures, such as diagnosis related groups (DRG). The question is whether the current DRG classification system can provide a satisfactory prediction of the variance of costs in stroke patients and if not, in what way other variables may enhance this prediction. In this study, data from 731 stroke patients hospitalized at University Hospital Maastricht during 1996-1998 are used in the cost analysis. The DRG classification for this group uses information--in addition to the DRG classification operation or no operation--on the patient's age combined with discharge status. The results of regression analysis show that using DRGs, the variance explained in the costs amounts to 34%. Adding other variables to the DRGs, the variance explained increases to about 61%. Additional factors highly correlating with inpatient costs are the level of functioning after stroke, comorbidity, complications, and 'days of stay for non-medical reasons'. Costs decreased for stroke patients discharged during the latter part of the years studied, and if stroke patients happened to die during their hospital stay. The results do suggest that future implementation of output-pricing based on the DRG case-mix measures is feasible for stroke patients only if it is enhanced with information on complications and the level of functioning.
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Implementing the EGASIS trial, an international multicenter acute intervention trial in stroke.
This paper describes some of the problems that were encountered during implementation of the Early GABA-ergic Activation Study In Stroke (EGASIS), a large international multicenter clinical trial evaluating the neuroprotective effect of diazepam in acute stroke. The focus is on obtaining funding for such a large international nonprofit trial, getting approval from all national and local ethics committees, shipping trial medication, and trial insurance. For each topic the specific problems and ways in which they were solved are described. Several recommendations for facilitating the running of a large international multicenter clinical trial such as EGASIS are made.
Clinical Trials as Topic↗
Validity of the beck depression inventory, hospital anxiety and depression scale, SCL-90, and hamilton depression rating scale as screening instruments for depression in stroke patients.
Most instruments used to assess poststroke depression have never been specifically validated in stroke patients. This study evaluated the depression screening abilities of three questionnaires and one observer-rated scale in 202 consecutive patients 1 month after they experienced their first-ever ischemic stroke. At their respective optimum cutoff values, the sensitivity of the self-rated scales varied between 80% and 90%, while the specificity was about 60%. For the observer-rated scale (Hamilton Depression Rating Scale), sensitivity was 78.1%, and specificity was 74.6%. The instruments clearly performed better in men than in women. Despite this difference, it was concluded that all scales were acceptable screening instruments for poststroke depression.
Aged↗