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2.
J Stroke Cerebrovasc Dis ; 26(11): 2519-2526, 2017 Nov.
Article in English | MEDLINE | ID: mdl-28756141

ABSTRACT

BACKGROUND: The ideal time to screen for poststroke depression remains uncertain. We evaluated the 2-item Patient Health Questionnaire (PHQ-2) as a screening tool for depression during the acute stroke admission by determining the prevalence of positive depression screen during admission and by calculating the level of agreement between positive screens during admission and follow-up. METHODS: This was a retrospective cohort of adult stroke survivors discharged January to December 2013 with principal discharge diagnosis of acute ischemic stroke or intracerebral hemorrhage. Depression screening was systematically performed during the hospital admission using the PHQ-2. The 9-item Patient Health Questionnaire (PHQ-9), which includes the PHQ-2, was completed by patients at outpatient follow-up. RESULTS: The study cohort consisted of 337 patients with mean age of 66.3 years. Median time from admission to PHQ-2 was 3 days (interquartile range 1-4 days). The screen was positive for depression in 4.7% (95% confidence interval 2.7%-7.6%) of patients. Of the 150 patients with PHQ-9 data at outpatient follow up, 19.3% screened positive for depression. In both the inpatient setting and at outpatient follow-up, the prevalence of a positive depression screen was similar between patients with and without a history of depression or antidepressant use. CONCLUSIONS: Systematic screening for depression using PHQ-2 during hospitalization for acute stroke identified few patients. Most patients with depressive symptoms were identified only at the time of outpatient follow-up. Further study is needed to evaluate the usefulness of other depression screens for stroke patients in the acute hospital setting and the optimal timing for depression screening after stroke.


Subject(s)
Depression/diagnosis , Depression/etiology , Mass Screening , Patient Health Questionnaire , Stroke/complications , Adult , Aged , Aged, 80 and over , Antidepressive Agents/therapeutic use , Cohort Studies , Depression/drug therapy , Depression/psychology , Female , Humans , Male , Middle Aged
3.
Neurologist ; 20(2): 27-32, 2015 Aug.
Article in English | MEDLINE | ID: mdl-26280287

ABSTRACT

OBJECTIVES: Stroke is the second most common cause of death worldwide and can lead to significant disability and long-term costs. Length of stay (LOS) is the most predictive factor in determining inpatient costs. In the present study, factors that affect disability and LOS among ischemic stroke patients admitted to an urban community hospital and 2 university-based teaching hospitals were assessed. METHODS: Data for consecutive patients with acute ischemic strokes were collected, by reviewing discharge diagnosis International Classification of Diseases codes. A data mining process was used to analyze admission data. Data regarding comorbidities and complications were abstracted by mining the secondary diagnoses for their respective International Classification of Diseases-9 codes. The primary outcome was LOS, calculated from the dates of admission and dates of discharge. The second outcome of interest was disability, which was evaluated by the modified Rankin score at the time of discharge. RESULTS: LOS progressively increased with greater disability. Greater age and higher National Institute of Health Stroke Scale at admission were associated with both higher disability and longer LOS. Presence of congestive heart failure or chronic kidney disease, atrial fibrillation, other arrhythmias (preexisting or new onset), and development of acute renal failure were associated with greater LOS but not greater disability status. Patients with a previous stroke and those that developed urinary tract infection as a complication had higher disability. CONCLUSIONS: Greater age and higher National Institute of Health Stroke Scale at admission were associated with both higher disability and longer LOS. Congestive heart failure, CRF, presence of arrhythmias, and development of acute renal failure were associated with greater LOS. The development of urinary tract infection caused higher disability.


Subject(s)
Brain Ischemia/complications , Length of Stay , Recovery of Function/physiology , Stroke/epidemiology , Stroke/etiology , Aged , Comorbidity , Disabled Persons/statistics & numerical data , Female , Follow-Up Studies , Humans , Hypertension/epidemiology , Male , Middle Aged , Multivariate Analysis , Retrospective Studies
4.
Biosens Bioelectron ; 26(5): 2006-11, 2011 Jan 15.
Article in English | MEDLINE | ID: mdl-20888214

ABSTRACT

Pandemic influenza by the swine-origin influenza virus (H1N1 2009) has attracted considerable concern worldwide. A convenient and accurate diagnostic approach that can be deployed at the point of care, such as in a doctor's office or at an airport, is critical for disease control. Here we report the development of a silicon-based microfluidic system for subtype differentiation of the novel H1N1 2009 strain vs. the seasonal influenza A (FluA) strain. The proposed system included two functional modules: a multiplexed PCR module for amplification of nucleic acid targets and a multiplexed silicon nanowire (SiNW) module for sequence determination. The PCR module consisted of a microfluidic PCR chamber and an electrical controller to perform a multiplexed protocol that simultaneously enriched specific segments of both H1N1 and FluA strains (if present), with 10(4)-10(5) amplification efficiency. The PCR amplicon was subsequently denatured and transferred to the SiNW sensing module for a label-free, multiplexed detection. A control SiNW was implemented, for the first time, in order to eliminate background interference. The detection module demonstrated a 10× change in the magnitude of differential current when the target DNA was injected. Overall, the system achieved a sensitivity of 20-30 fg/µl for H1N1 and seasonal FluA nucleic acids in a 10 µl sample. The low sample consumption, high sensitivity and high specificity render it a potential point-of-care (POC) platform to help doctors reach a yes/no decision for infectious diseases.


Subject(s)
Biosensing Techniques/instrumentation , DNA, Bacterial/genetics , DNA, Bacterial/isolation & purification , Influenza A Virus, H1N1 Subtype/isolation & purification , Microfluidic Analytical Techniques/instrumentation , Oligonucleotide Array Sequence Analysis/instrumentation , Polymerase Chain Reaction/instrumentation , Sequence Analysis, DNA/instrumentation , Equipment Design , Equipment Failure Analysis , Influenza A Virus, H1N1 Subtype/classification , Influenza A Virus, H1N1 Subtype/genetics , Silicon/chemistry
5.
J Stroke Cerebrovasc Dis ; 20(5): 443-9, 2011.
Article in English | MEDLINE | ID: mdl-20813550

ABSTRACT

Cocaine use is associated with ischemic stroke through unique mechanisms, including reversible vasospasm, drug-induced arteritis, enhanced platelet aggregation, cardioembolism, and hypertensive surges. To date, no study has described disability in patients with cocaine-related ischemic stroke. The present study compared risk factors, comorbidities, complications, laboratory findings, medications, and outcomes in patients with cocaine-related (n = 41) and non-cocaine-related (n = 221) ischemic stroke (n = 147) and transient ischemic attack (n = 115) in 3 academic hospitals. The patients with cocaine-related stroke were younger (mean age, 51.9 years vs 59.1 years; P = .0008) and more likely to be smokers (95% vs 62.9%; P < .004). The prevalence of arrhythmias was significantly higher in the patients with cocaine-related stroke, and that of diabetes was significantly higher in those with non-cocaine-related strokes. The prevalence of hypertension and lipid profiles were similar in the 2 groups; however, those with cocaine-related stroke were less likely to receive statins. Antiplatelet use was similar in the 2 groups. Survivors of both groups had similar modified Rankin scores and lengths of hospital stay. In the older urban population, smoking and cocaine use may coexist with other cerebrovascular risk factors, and cocaine-related strokes have similar morbidities and mortality as non-cocaine-related strokes. Moreover, because the patients with cocaine-related stroke is younger, they have an earlier morbidity. New strategies for effective stroke prevention interventions are needed in this subgroup.


Subject(s)
Brain Ischemia/diagnosis , Cocaine-Related Disorders/complications , Disability Evaluation , Ischemic Attack, Transient/diagnosis , Stroke/diagnosis , Adult , Age Factors , Aged , Aged, 80 and over , Arrhythmias, Cardiac/epidemiology , Brain Ischemia/etiology , Brain Ischemia/mortality , Chi-Square Distribution , Cocaine-Related Disorders/mortality , Diabetes Mellitus/epidemiology , Dyslipidemias/epidemiology , Female , Hospitals, Community , Hospitals, University , Humans , Hypertension/epidemiology , Ischemic Attack, Transient/etiology , Ischemic Attack, Transient/mortality , Length of Stay , Logistic Models , Male , Michigan/epidemiology , Middle Aged , Prevalence , Prognosis , Retrospective Studies , Risk Assessment , Risk Factors , Smoking/adverse effects , Stroke/etiology , Stroke/mortality , Time Factors
6.
J Stroke Cerebrovasc Dis ; 19(5): 340-6, 2010.
Article in English | MEDLINE | ID: mdl-20547074

ABSTRACT

BACKGROUND: The authors report the effects of patient risk factors and physician specialty on the clinical outcomes of patients with spontaneous intracerebral hemorrhage (ICH), who were treated nonsurgically at 3 academic medical centers. To our knowledge, there is no reported literature on the effect of physician specialty and outcomes (modified Rankin scale [mRS] score, in-hospital death, and hospital length of stay [LOS]). METHODS: A new patent pending data-mining method, Healthcare Smart Grid, retrospectively analyzed hospital data for 129 patients with spontaneous ICH admitted to 3 (two university and one community) hospitals in a single metropolitan region and treated nonsurgically. Patients with traumatic hemorrhages and subarachnoid hemorrhages were excluded from the study. Demographic data, clinical presentation, medical risk factors, and hematoma characteristics were tested for associations with 3 outcomes: in-hospital death, mRS score at discharge, and LOS. RESULTS: A total of 129 cases were identified in the university (77 cases) and community (52 cases) hospitals during a 20-month period (December 2005-July 2007). The mean age was 64.1 years with 48% being men and 83% being black. The median LOS among survivors was 6 days. LOS was significantly associated with physician specialty (P=.002 for both comparisons: neurologists and neurosurgeons with internists) and hemorrhage volume. Mortality in these patients was 23%. In an adjusted analysis, hemorrhage volume (P < .001) and Glasgow Coma Scale score at admission (P=.001) were significant predictors of in-hospital mortality, whereas physician specialty, number of comorbidities, and other risk factors were not. The median mRS score at discharge was 3. Larger hemorrhage volume tends to predict greater disability (P=.06). CONCLUSIONS: LOS for spontaneous nonsurgically treated ICH tends to be the least with admission to specialist services such as neurologists and neurosurgeons. Physician specialties do not seem to influence mRS score or mortality in medically managed spontaneous ICH. Hemorrhage volume has a statistically significant association with death and LOS.


Subject(s)
Cerebral Hemorrhage/therapy , Clinical Competence/statistics & numerical data , Medicine/statistics & numerical data , Outcome Assessment, Health Care/methods , Academic Medical Centers/statistics & numerical data , Aged , Cerebral Hemorrhage/mortality , Data Mining/methods , Disability Evaluation , Female , Hospital Mortality , Humans , Internal Medicine/statistics & numerical data , Length of Stay , Male , Michigan , Middle Aged , Neurology/statistics & numerical data , Neurosurgery/statistics & numerical data , Retrospective Studies , Risk Factors , Survival Analysis
7.
Int J Cardiol ; 145(1): 87-9, 2010 Nov 05.
Article in English | MEDLINE | ID: mdl-19520443

ABSTRACT

BACKGROUND: Congestive heart failure in sinus rhythm ranks second after atrial fibrillation (AF) among cardiogenic risk-factors for stroke. Clinical and echocardiographic predictors of stroke in this high-risk population remain poorly defined. METHODS: Retrospective screening of 1886 consecutive patients with severe systolic dysfunction (LVEF ≤35%) at a tertiary medical center echocardiography database (Nov 2005-Sep 2008) identified 83 patients in sinus rhythm with cardioembolic stroke. Patients with AF on follow-up, prosthetic valve, ventricular arrhythmia and lack of consensus between reviewing neurologists were excluded (n=10). Consecutive age and gender-matched controls in sinus rhythm formed GpII (n=73). RESULTS: The incidence of stroke was 3.9% (73/1886) over 35 months in this study. There were no significant differences in prevalence of established clinical risk-factors for stroke. There was a significantly higher prevalence of LV non-compaction (p=0.02), aneurysm (p<0.01), spontaneous echo-contrast (p<0.01) and pulmonary hypertension (p<0.001) in GpI. CONCLUSIONS: LV non-compaction, aneurysm, spontaneous echo-contrast and pulmonary hypertension are associated with an increased risk of stroke. While anticoagulation of these high-risk subgroups appears reasonable, further study in a prospective randomized clinical trial merits consideration.


Subject(s)
Severity of Illness Index , Stroke/diagnostic imaging , Systole , Ventricular Dysfunction, Left/diagnostic imaging , Aged , Case-Control Studies , Echocardiography/methods , Female , Heart Failure/complications , Heart Failure/diagnostic imaging , Humans , Male , Middle Aged , Predictive Value of Tests , Retrospective Studies , Stroke/etiology , Systole/physiology , Ventricular Dysfunction, Left/complications
8.
J Neurol Sci ; 2009 Aug 08.
Article in English | MEDLINE | ID: mdl-19665734

ABSTRACT

This article has been withdrawn at the request of the editor. The Publisher apologizes for any inconvenience this may cause. The full Elsevier Policy on Article Withdrawal can be found at http://www.elsevier.com/locate/withdrawalpolicy.

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