BACKGROUND AND PURPOSE: The distribution of 3-month modified Rankin scale (mRS) scores has been used as an outcome measure in acute stroke trials. We hypothesized that hospitalization and institutional care home stays within the first 90 days after stroke should be closely related to 90-day mRS, that each higher mRS category will reflect incremental cost, and that resource use may be less clearly linked to the National Institutes of Health Stroke Scale (NIHSS) or Barthel index. METHODS: We examined resource use data from the GAIN International trial comparing 90-day mRS with total length of stay in hospital or other institutions during the first 90 days. We repeated analyses using NIHSS and Barthel index scores. Relationships were examined by analysis of variance (ANOVA) with Bonferroni contrasts of adjacent score categories. Estimated costs were based on published Scottish figures. RESULTS: We had full data from 1717 patients. Length of stay was strongly associated with final mRS (P<0.0001). Each mRS increment from 0 to 1-2 to 3-4 was significant (mean length of stay: 17, 25, 44, 58, 79 days; P<0.0005). Ninety-five percent confidence limits for estimated costs ( pound) rose incrementally: 2493 to 3412, 3369 to 4479, 5784 to 7008, 7300 to 8512, 10 095 to 11 141, 11 772 to 13 560, and 2623 to 3321 for mRS 0 to 5 and dead, respectively. Weaker relationships existed with Barthel and NIHSS. CONCLUSIONS: Each mRS category reflects different average length of hospital and institutional stay. Associated costs are meaningfully different across the full range of mRS outcomes. Analysis of the full distribution of mRS scores is appropriate for interpretation of treatment effects after acute stroke and more informative than Barthel or NIHSS end points.
BACKGROUND AND PURPOSE: The distribution of 3-month modified Rankin scale (mRS) scores has been used as an outcome measure in acute stroke trials. We hypothesized that hospitalization and institutional care home stays within the first 90 days after stroke should be closely related to 90-day mRS, that each higher mRS category will reflect incremental cost, and that resource use may be less clearly linked to the National Institutes of Health Stroke Scale (NIHSS) or Barthel index. METHODS: We examined resource use data from the GAIN International trial comparing 90-day mRS with total length of stay in hospital or other institutions during the first 90 days. We repeated analyses using NIHSS and Barthel index scores. Relationships were examined by analysis of variance (ANOVA) with Bonferroni contrasts of adjacent score categories. Estimated costs were based on published Scottish figures. RESULTS: We had full data from 1717 patients. Length of stay was strongly associated with final mRS (P<0.0001). Each mRS increment from 0 to 1-2 to 3-4 was significant (mean length of stay: 17, 25, 44, 58, 79 days; P<0.0005). Ninety-five percent confidence limits for estimated costs ( pound) rose incrementally: 2493 to 3412, 3369 to 4479, 5784 to 7008, 7300 to 8512, 10 095 to 11 141, 11 772 to 13 560, and 2623 to 3321 for mRS 0 to 5 and dead, respectively. Weaker relationships existed with Barthel and NIHSS. CONCLUSIONS: Each mRS category reflects different average length of hospital and institutional stay. Associated costs are meaningfully different across the full range of mRS outcomes. Analysis of the full distribution of mRS scores is appropriate for interpretation of treatment effects after acute stroke and more informative than Barthel or NIHSS end points.
Authors: Kit N Simpson; Annie N Simpson; Patrick D Mauldin; Yuko Y Palesch; Sharon D Yeatts; Dawn Kleindorfer; Thomas A Tomsick; Lydia D Foster; Andrew M Demchuk; Pooja Khatri; Michael D Hill; Edward C Jauch; Tudor G Jovin; Bernard Yan; Rüdiger von Kummer; Carlos A Molina; Mayank Goyal; Wouter J Schonewille; Mikael Mazighi; Stefan T Engelter; Craig Anderson; Judith Spilker; Janice Carrozzella; Karla J Ryckborst; L Scott Janis; Joseph P Broderick Journal: J Am Heart Assoc Date: 2017-05-08 Impact factor: 5.501
Authors: Ingrid Lekander; Carl Willers; Mia von Euler; Mikael Lilja; Katharina S Sunnerhagen; Hélène Pessah-Rasmussen; Fredrik Borgström Journal: PLoS One Date: 2017-04-06 Impact factor: 3.240
Authors: Kennedy R Lees; Jonathan Emberson; Lisa Blackwell; Erich Bluhmki; Stephen M Davis; Geoffrey A Donnan; James C Grotta; Markku Kaste; Rüdiger von Kummer; Maarten G Lansberg; Richard I Lindley; Patrick Lyden; Gordon D Murray; Peter A G Sandercock; Danilo Toni; Kazunori Toyoda; Joanna M Wardlaw; William N Whiteley; Colin Baigent; Werner Hacke; George Howard Journal: Stroke Date: 2016-08-09 Impact factor: 7.914