1.General Anesthesia versus Conscious Sedation in Mechanical Thrombectomy
Katharina FEIL ; Moriz HERZBERG ; Franziska DORN ; Steffen TIEDT ; Clemens KÜPPER ; Dennis C. THUNSTEDT ; Ludwig C. HINSKE ; Konstanze MÜHLBAUER ; Sebastian GOSS ; Thomas LIEBIG ; Marianne DIETERICH ; Andreas BAYER ; Lars KELLERT ;
Journal of Stroke 2021;23(1):103-112
Background:
and Purpose Anesthesia regimen in patients undergoing mechanical thrombectomy (MT) is still an unresolved issue.
Methods:
We compared the effect of anesthesia regimen using data from the German Stroke Registry-Endovascular Treatment (GSR-ET) between June 2015 and December 2019. Degree of disability was rated by the modified Rankin Scale (mRS), and good outcome was defined as mRS 0–2. Successful reperfusion was assumed when the modified thrombolysis in cerebral infarction scale was 2b–3.
Results:
Out of 6,635 patients, 67.1% (n=4,453) patients underwent general anesthesia (GA), 24.9% (n=1,650) conscious sedation (CS), and 3.3% (n=219) conversion from CS to GA. Rate of successful reperfusion was similar across all three groups (83.0% vs. 84.2% vs. 82.6%, P=0.149). Compared to the CA-group, the GA-group had a delay from admission to groin (71.0 minutes vs. 61.0 minutes, P<0.001), but a comparable interval from groin to flow restoration (41.0 minutes vs. 39.0 minutes). The CS-group had the lowest rate of periprocedural complications (15.0% vs. 21.0% vs. 28.3%, P<0.001). The CS-group was more likely to have a good outcome at follow-up (42.1% vs. 34.2% vs. 33.5%, P<0.001) and a lower mortality rate (23.4% vs. 34.2% vs. 26.0%, P<0.001). In multivariable analysis, GA was associated with reduced achievement of good functional outcome (odds ratio [OR], 0.82; 95% confidence interval [CI], 0.71 to 0.94; P=0.004) and increased mortality (OR, 1.42; 95% CI, 1.23 to 1.64; P<0.001). Subgroup analysis for anterior circulation strokes (n=5,808) showed comparable results.
Conclusions
We provide further evidence that CS during MT has advantages over GA in terms of complications, time intervals, and functional outcome.
2.Projection of Eye Disease Burden in Singapore.
John P ANSAH ; Victoria KOH ; Dirk F de KORNE ; Steffen BAYER ; Chong PAN ; Jayabaskar THIYAGARAJAN ; David B MATCHAR ; Ecosse LAMOUREUX ; Desmond QUEK
Annals of the Academy of Medicine, Singapore 2018;47(1):13-28
INTRODUCTIONSingapore's ageing population is likely to see an increase in chronic eye conditions in the future. This study aimed to estimate the burden of eye diseases among resident Singaporeans stratified for age and ethnicity by 2040.
MATERIALS AND METHODSPrevalence data on myopia, epiretinal membrane (ERM), retinal vein occlusion (RVO), age macular degeneration (AMD), diabetic retinopathy (DR), cataract, glaucoma and refractive error (RE) by age cohorts and educational attainment from the Singapore Epidemiology of Eye Diseases (SEED) study were applied to population estimates from the Singapore population model.
RESULTSAll eye conditions are projected to increase by 2040. Myopia and RE will remain the most prevalent condition, at 2.393 million (2.32 to 2.41 million) cases, representing a 58% increase from 2015. It is followed by cataract and ERM, with 1.33 million (1.31 to 1.35 million), representing an 81% increase, and 0.54 million (0.53 to 0.549 million) cases representing a 97% increase, respectively. Eye conditions that will see the greatest increase from 2015 to 2040 in the Chinese are: DR (112%), glaucoma (100%) and ERM (91.4%). For Malays, DR (154%), ERM (136%), and cataract (122%) cases are expected to increase the most while for Indians, ERM (112%), AMD (101%), and cataract (87%) are estimated to increase the most in the same period.
CONCLUSIONResults indicate that the burden for all eye diseases is expected to increase significantly into the future, but at different rates. These projections can facilitate the planning efforts of both policymakers and healthcare providers in the development and provision of infrastructure and resources to adequately meet the eye care needs of the population. By stratifying for age and ethnicity, high risk groups may be identified and targeted interventions may be implemented.