2007
DOI: 10.1159/000098550
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Winter Excess in Hospital Admissions, In-Patient Mortality and Length of Acute Hospital Stay in Stroke: A Hospital Database Study over Six Seasonal Years in Norfolk, UK

Abstract: Background: Several studies have examined the incidence and mortality of stroke in relation to season. However, the evidence is conflicting partly due to variation in the populations (community vs. hospital-based), and in climatic conditions between studies. Moreover, they may not have been able to take into account the age, sex and stroke type of the study population. We hypothesized that the age, sex and type of stroke are major determinants of the presence or absence of winter excess in morbidity and mortal… Show more

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Cited by 56 publications
(45 citation statements)
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References 29 publications
(14 reference statements)
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“…4 Two cohorts excluded patients admitted later than 24 hours after symptom onset, 21,23 2 excluded patients with prior stroke, 5,26 1 excluded patients "diagnosed with amyloid angiopathy," 20 and 1 excluded patients with multiple ICH, prior ICH, pre-ICH disability, or need for surgery. 30 We contacted study authors to request cohort data excluding patients taking anticoagulation and ultimately received data from 23 cohorts that specifically excluded patients on anticoagulation, [1][2][3][4][5]8,9,11,[13][14][15][16][17][18][19][20][21][22][23][24][25][26][27] while one cohort included patients on anticoagulation, 10 and one cohort included patients on anticoagulation but controlled for its use in the multivariable model of mortality. 12 There was no evidence of publication bias in the 10 previously published studies ( p ϭ 0.34 for mortality and p ϭ 0.54 for poor outcome, by Egger's test) or when considering all 25 studies ( p ϭ 0.24 for mortality and p ϭ 0.49 for poor outcome) (figure 1).…”
Section: -11mentioning
confidence: 99%
See 1 more Smart Citation
“…4 Two cohorts excluded patients admitted later than 24 hours after symptom onset, 21,23 2 excluded patients with prior stroke, 5,26 1 excluded patients "diagnosed with amyloid angiopathy," 20 and 1 excluded patients with multiple ICH, prior ICH, pre-ICH disability, or need for surgery. 30 We contacted study authors to request cohort data excluding patients taking anticoagulation and ultimately received data from 23 cohorts that specifically excluded patients on anticoagulation, [1][2][3][4][5]8,9,11,[13][14][15][16][17][18][19][20][21][22][23][24][25][26][27] while one cohort included patients on anticoagulation, 10 and one cohort included patients on anticoagulation but controlled for its use in the multivariable model of mortality. 12 There was no evidence of publication bias in the 10 previously published studies ( p ϭ 0.34 for mortality and p ϭ 0.54 for poor outcome, by Egger's test) or when considering all 25 studies ( p ϭ 0.24 for mortality and p ϭ 0.49 for poor outcome) (figure 1).…”
Section: -11mentioning
confidence: 99%
“…Data from an additional 15 cohorts were obtained by these methods. [13][14][15][16][17][18][19][20][21][22][23][24][25][26][27] In many cases, authors contributed more patients than described in the original cohort, which was allowed as long as these patients were collected and characterized according to the same published methods. Study quality was evaluated using the same criteria cited above.…”
mentioning
confidence: 99%
“…Such influences have also been reported to be associated with seasonal variations in blood pressure (4,5,6), possibly contributing to excess cardiovascular morbidity and mortality in winter than in summer (7,8,9,10,11,12,13,14). Although seasonal variations in plasma concentrations of catecholamines are well established, it is not clear whether this influences plasma concentrations of normetanephrine and metanephrine, the respective O-methylated metabolites of norepinephrine and epinephrine, now used increasingly for the diagnosis of pheochromocytoma (15).…”
Section: Introductionmentioning
confidence: 99%
“…Deaths from acute myocardial and cerebral infarction contribute to the excess winter mortality [2][3][4] , but routine mortality statistics may over-report the number of stroke deaths [5,6] confounded by poststroke complications. On the other hand, the incidence of stroke in most countries has a seasonal pattern, peaking during winter [7][8][9] , with a lesser frequency in spring [10,11] , autumn [12] or summer months [13] . These seasonal/ monthly effects are important to adopt preventive measures and to estimate the overall hospital and/or stroke units' workload, but fell short of demonstrating meteorological factors underlying and triggering stroke occurrence, in particular a first-in-a-lifetime stroke.…”
Section: Introductionmentioning
confidence: 99%