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Item Open Access Patterns, predictors, variations, and temporal trends in emergency medical service hospital prenotification for acute ischemic stroke.(J Am Heart Assoc, 2012-08) Lin, Cheryl B; Peterson, Eric D; Smith, Eric E; Saver, Jeffrey L; Liang, Li; Xian, Ying; Olson, Daiwai M; Shah, Bimal R; Hernandez, Adrian F; Schwamm, Lee H; Fonarow, Gregg CBACKGROUND#ENTITYSTARTX02014;: Emergency medical services (EMS) hospital prenotification of an incoming stroke patient is guideline recommended as a means of increasing the timeliness with which stroke patients are evaluated and treated. Still, data are limited with regard to national use of, variations in, and temporal trends in EMS prenotification and associated predictors of its use. METHODS AND RESULTS#ENTITYSTARTX02014;: We examined 371 988 patients with acute ischemic stroke who were transported by EMS and enrolled in 1585 hospitals participating in Get With The Guidelines-Stroke from April 1, 2003, through March 31, 2011. Prenotification occurred in 249 197 EMS-transported patients (67.0%) and varied widely by hospital (range, 0% to 100%). Substantial variations by geographic regions and by state, ranging from 19.7% in Washington, DC, to 93.4% in Montana, also were noted. Patient factors associated with lower use of prenotification included older age, diabetes mellitus, and peripheral vascular disease. Prenotification was less likely for black patients than for white patients (adjusted odds ratio 0.94, 95% confidence interval 0.92-0.97, P<0.0001). Hospital factors associated with greater EMS prenotification use were absence of academic affiliation, higher annual volume of tissue plasminogen activator administration, and geographic location outside the Northeast. Temporal improvements in prenotification rates showed a modest general increase, from 58.0% in 2003 to 67.3% in 2011 (P temporal trend <0.0001). CONCLUSIONS#ENTITYSTARTX02014;: EMS hospital prenotification is guideline recommended, yet among patients transported to Get With The Guidelines-Stroke hospitals it is not provided for 1 in 3 EMS-arriving patients with acute ischemic stroke and varies substantially by hospital, state, and region. These results support the need for enhanced implementation of stroke systems of care. (J Am Heart Assoc. 2012;1:e002345 doi: 10.1161/JAHA.112.002345.).Item Open Access Relationship of national institutes of health stroke scale to 30-day mortality in medicare beneficiaries with acute ischemic stroke.(J Am Heart Assoc, 2012-02) Fonarow, Gregg C; Saver, Jeffrey L; Smith, Eric E; Broderick, Joseph P; Kleindorfer, Dawn O; Sacco, Ralph L; Pan, Wenqin; Olson, Daiwai M; Hernandez, Adrian F; Peterson, Eric D; Schwamm, Lee HBACKGROUND: The National Institutes of Health Stroke Scale (NIHSS), a well-validated tool for assessing initial stroke severity, has previously been shown to be associated with mortality in acute ischemic stroke. However, the relationship, optimal categorization, and risk discrimination with the NIHSS for predicting 30-day mortality among Medicare beneficiaries with acute ischemic stroke has not been well studied. METHODS AND RESULTS: We analyzed data from 33102 fee-for-service Medicare beneficiaries treated at 404 Get With The Guidelines-Stroke hospitals between April 2003 and December 2006 with NIHSS documented. The 30-day mortality rate by NIHSS as a continuous variable and by risk-tree determined or prespecified categories were analyzed, with discrimination of risk quantified by the c-statistic. In this cohort, mean age was 79.0 years and 58% were female. The median NIHSS score was 5 (25th to 75th percentile 2 to 12). There were 4496 deaths in the first 30 days (13.6%). There was a strong graded relation between increasing NIHSS score and higher 30-day mortality. The 30-day mortality rates for acute ischemic stroke by NIHSS categories were as follows: 0 to 7, 4.2%; 8 to 13, 13.9%; 14 to 21, 31.6%; 22 to 42, 53.5%. A model with NIHSS alone provided excellent discrimination whether included as a continuous variable (c-statistic 0.82 [0.81 to 0.83]), 4 categories (c-statistic 0.80 [0.79 to 0.80]), or 3 categories (c-statistic 0.79 [0.78 to 0.79]). CONCLUSIONS: The NIHSS provides substantial prognostic information regarding 30-day mortality risk in Medicare beneficiaries with acute ischemic stroke. This index of stroke severity is a very strong discriminator of mortality risk, even in the absence of other clinical information, whether used as a continuous or categorical risk determinant. (J Am Heart Assoc. 2012;1:42-50.).Item Open Access The Influence of Unemployment and Disability Status on Clinical Outcomes in Patients Receiving Surgery for Low Back-Related Disorders: An Observational Study.(Spine surgery and related research, 2021-01) Cook, Chad E; Garcia, Alessandra N; Shaffrey, Christopher; Gottfried, OrenIntroduction
Employment status plays an essential role as a social determinant of health. Unemployed are more likely to have a longer length of hospital stay and a nearly twofold greater rate of 30 day readmission than those who were well employed at the time of back surgery. This study aimed to investigate whether employment status influenced post-surgery outcomes and if so, the differences were clinically meaningful among groups.Methods
This retrospective observational study used data from the Quality Outcomes Database Lumbar Registry. Data refinement was used to isolate individuals 18 to 64 who received primary spine surgeries and had a designation of employed, unemployed, or disabled. Outcomes included 12 and 24 month back and leg pain, disability, patient satisfaction, and quality of life. Differences in descriptive variables, comorbidities, and outcomes measures (at 12 and 24 months) were analyzed using chi-square and linear mixed-effects modeling. When differences were present among groups, we evaluated whether they were clinically significant or not.Results
Differences (between employed, unemployed, and disabled) among baseline characteristics and comorbidities were present in nearly every category (p<0.01). In all cases, those who were disabled represented the least healthy, followed by unemployed, and then employed. Clinically meaningful differences for all outcomes were present at 12 and 24 months (p<0.01). In post hoc analyses, differences between each group at nearly all periods were found.Conclusions
The findings support that the health-related characteristics are markedly different among employment status groups. Group designation strongly differentiated outcomes. These findings suggest that disability and unemployment should be considered when determining prognosis of the individual.