The Evaluation of Prognostic Scores in Spontaneous Intracerebral Hemorrhage in an Asian Population: A Retrospective Study

2020 ◽  
Vol 29 (12) ◽  
pp. 105360
Author(s):  
Mervyn Jun Rui Lim ◽  
Arturo Yong Yao Neo ◽  
Gaurav Deep Singh ◽  
Yi Song Terence Liew ◽  
Maehanyi Frances Rajendram ◽  
...  
2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Jens Witsch ◽  
Bob Siegerink ◽  
Christian H. Nolte ◽  
Maximilian Sprügel ◽  
Thorsten Steiner ◽  
...  

Abstract Background Approximately half of patients with spontaneous intracerebral hemorrhage (ICH) die within 1 year. Prognostication in this context is of great importance, to guide goals of care discussions, clinical decision-making, and risk stratification. However, available prognostic scores are hardly used in clinical practice. The purpose of this review article is to identify existing outcome prediction scores for spontaneous intracerebral hemorrhage (ICH) discuss their shortcomings, and to suggest how to create and validate more useful scores. Main text Through a literature review this article identifies existing ICH outcome prediction models. Using the Essen-ICH-score as an example, we demonstrate a complete score validation including discrimination, calibration and net benefit calculations. Score performance is illustrated in the Erlangen UKER-ICH-cohort (NCT03183167). We identified 19 prediction scores, half of which used mortality as endpoint, the remainder used disability, typically the dichotomized modified Rankin score assessed at variable time points after the index ICH. Complete score validation by our criteria was only available for the max-ICH score. Our validation of the Essen-ICH-score regarding prediction of unfavorable outcome showed good discrimination (area under the curve 0.87), fair calibration (calibration intercept 1.0, slope 0.84), and an overall net benefit of using the score as a decision tool. We discuss methodological pitfalls of prediction scores, e.g. the withdrawal of care (WOC) bias, physiological predictor variables that are often neglected by authors of clinical scores, and incomplete score validation. Future scores need to integrate new predictor variables, patient-reported outcome measures, and reduce the WOC bias. Validation needs to be standardized and thorough. Lastly, we discuss the integration of current ICH scoring systems in clinical practice with the awareness of their shortcomings. Conclusion Presently available prognostic scores for ICH do not fulfill essential quality standards. Novel prognostic scores need to be developed to inform the design of research studies and improve clinical care in patients with ICH.


Author(s):  
Sashanka Kode ◽  
Ajay Hegde ◽  
Girish R. Menon

Abstract Introduction Spontaneous intracerebral hemorrhage (SICH) is one of the most devastating forms of stroke with a mortality of 30 to 40%. We aimed to evaluate the effect of craniotomy size and volume of decompression on surgical outcome, complications, mortality, and morbidity in patients with supratentorial capsuloganglionic bleeds who underwent a decompressive craniectomy (DC) at our institute. Materials and Methods It is a retrospective study done between January 2015 and December 2019. All patients with capsuloganglionic bleeds who had DC and hematoma evacuation were included in the study. Results A total of 55 patients underwent DC for SICH at our hospital during the study period. Mean anteroposterior (AP) diameter of the bone flap was 12.42 cm. The volume of decompression did not influence mortality and morbidity in our study but a larger AP diameter was associated with a higher incidence of hydrocephalus. A smaller craniectomy with an AP diameter of < 12 cm caused a lesser reduction in midline shift (MLS). Persistent postoperative MLS had a significant impact on mortality and its reduction was dependent on the size of craniectomy (p =–0.037) Conclusion DC with a recommended AP diameter of 12 to 13 cm achieves optimal results in terms of reduction in MLS. Larger DC volume carries a higher risk of hydrocephalus and requires close follow-up.


2018 ◽  
Author(s):  
S. Sommaruga ◽  
R. Beekman ◽  
S. Chu ◽  
Z. King ◽  
C. Matouk ◽  
...  

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