OBJECTIVE: As common prognostication models in intracerebral hemorrhage (ICH) are developed variably including patients with early (<24 hours) care limitations (ECL), we investigated its interaction with prognostication in maximally treated patients and sought to provide a new unbiased severity assessment tool. METHODS: This observational cohort study analyzed consecutive ICH patients (n = 583) from a prospective registry over 5 years. We characterized the influence of ECL on overall outcome by propensity score matching and on conventional prognostication using receiver operating characteristic analyses. We established the max-ICH score based on independent predictors of 12-month functional outcome in maximally treated patients and compared it to existing models. RESULTS: Prevalence of ECL was 19.2% (n = 112/583) and all of these patients died. Yet propensity score matching displayed that 50.7% (n = 35/69) theoretically could have survived, with 18.8% (n = 13/69) possibly reaching favorable outcome (modified Rankin Scale score 0-3). Conventional prognostication seemed to be confounded by ECL, documented by a decreased predictive validity (area under the curve [AUC] 0.67, confidence interval [CI] 0.61-0.73 vs AUC 0.80, CI 0.76-0.83; p < 0.01), overestimating poor outcome (mortality by 44.8%, unfavorable outcome by 10.1%) in maximally treated patients. In these patients, the novel max-ICH score (0-10) integrates strength-adjusted predictors, i.e., NIH Stroke Scale score, age, intraventricular hemorrhage, anticoagulation, and ICH volume (lobar and nonlobar), demonstrating improved predictive accuracy for functional outcome (12 months: AUC 0.81, CI 0.77-0.85; p < 0.01). The max-ICH score may more accurately delineate potentials of aggressive care, showing favorable outcome in 45.4% (n = 214/471) and a long-term mortality rate of only 30.1% (n = 142/471). CONCLUSIONS: Care limitations significantly influenced the validity of common prognostication models resulting in overestimation of poor outcome. The max-ICH score demonstrated increased predictive validity with minimized confounding by care limitations, making it a useful tool for severity assessment in ICH patients.
OBJECTIVE: As common prognostication models in intracerebral hemorrhage (ICH) are developed variably including patients with early (<24 hours) care limitations (ECL), we investigated its interaction with prognostication in maximally treated patients and sought to provide a new unbiased severity assessment tool. METHODS: This observational cohort study analyzed consecutive ICHpatients (n = 583) from a prospective registry over 5 years. We characterized the influence of ECL on overall outcome by propensity score matching and on conventional prognostication using receiver operating characteristic analyses. We established the max-ICH score based on independent predictors of 12-month functional outcome in maximally treated patients and compared it to existing models. RESULTS: Prevalence of ECL was 19.2% (n = 112/583) and all of these patients died. Yet propensity score matching displayed that 50.7% (n = 35/69) theoretically could have survived, with 18.8% (n = 13/69) possibly reaching favorable outcome (modified Rankin Scale score 0-3). Conventional prognostication seemed to be confounded by ECL, documented by a decreased predictive validity (area under the curve [AUC] 0.67, confidence interval [CI] 0.61-0.73 vs AUC 0.80, CI 0.76-0.83; p < 0.01), overestimating poor outcome (mortality by 44.8%, unfavorable outcome by 10.1%) in maximally treated patients. In these patients, the novel max-ICH score (0-10) integrates strength-adjusted predictors, i.e., NIH Stroke Scale score, age, intraventricular hemorrhage, anticoagulation, and ICH volume (lobar and nonlobar), demonstrating improved predictive accuracy for functional outcome (12 months: AUC 0.81, CI 0.77-0.85; p < 0.01). The max-ICH score may more accurately delineate potentials of aggressive care, showing favorable outcome in 45.4% (n = 214/471) and a long-term mortality rate of only 30.1% (n = 142/471). CONCLUSIONS: Care limitations significantly influenced the validity of common prognostication models resulting in overestimation of poor outcome. The max-ICH score demonstrated increased predictive validity with minimized confounding by care limitations, making it a useful tool for severity assessment in ICHpatients.
Authors: Jochen A Sembill; Claudia Y Wieser; Maximilian I Sprügel; Stefan T Gerner; Antje Giede-Jeppe; Caroline Reindl; Ilker Y Eyüpoglu; Philip Hoelter; Hannes Lücking; Joji B Kuramatsu; Hagen B Huttner Journal: J Neurol Date: 2018-08-20 Impact factor: 4.849
Authors: Joji B Kuramatsu; Alessandro Biffi; Stefan T Gerner; Jochen A Sembill; Maximilian I Sprügel; Audrey Leasure; Lauren Sansing; Charles Matouk; Guido J Falcone; Matthias Endres; Karl Georg Haeusler; Jan Sobesky; Johannes Schurig; Sarah Zweynert; Miriam Bauer; Peter Vajkoczy; Peter A Ringleb; Jan Purrucker; Timolaos Rizos; Jens Volkmann; Wolfgang Müllges; Peter Kraft; Anna-Lena Schubert; Frank Erbguth; Martin Nueckel; Peter D Schellinger; Jörg Glahn; Ulrich J Knappe; Gereon R Fink; Christian Dohmen; Henning Stetefeld; Anna Lena Fisse; Jens Minnerup; Georg Hagemann; Florian Rakers; Heinz Reichmann; Hauke Schneider; Jan Rahmig; Albert Christian Ludolph; Sebastian Stösser; Hermann Neugebauer; Joachim Röther; Peter Michels; Michael Schwarz; Gernot Reimann; Hansjörg Bäzner; Henning Schwert; Joseph Claßen; Dominik Michalski; Armin Grau; Frederick Palm; Christian Urbanek; Johannes C Wöhrle; Fahid Alshammari; Markus Horn; Dirk Bahner; Otto W Witte; Albrecht Günther; Gerhard F Hamann; Manuel Hagen; Sebastian S Roeder; Hannes Lücking; Arnd Dörfler; Fernando D Testai; Daniel Woo; Stefan Schwab; Kevin N Sheth; Hagen B Huttner Journal: JAMA Date: 2019-10-08 Impact factor: 56.272