Carta Acesso aberto Revisado por pares

ICH Score in a Rural Village in the Republic of Argentina

2003; Lippincott Williams & Wilkins; Volume: 34; Issue: 9 Linguagem: Inglês

10.1161/01.str.0000089493.23505.ca

ISSN

1524-4628

Autores

Daniel Agustín Godoy, Andres Boccio,

Tópico(s)

Neuroscience of respiration and sleep

Resumo

HomeStrokeVol. 34, No. 9ICH Score in a Rural Village in the Republic of Argentina Free AccessLetterPDF/EPUBAboutView PDFView EPUBSections ToolsAdd to favoritesDownload citationsTrack citationsPermissions ShareShare onFacebookTwitterLinked InMendeleyReddit Jump toFree AccessLetterPDF/EPUBICH Score in a Rural Village in the Republic of Argentina Daniel Agustin Godoy, MD Andres Boccio, MD Daniel Agustin GodoyDaniel Agustin Godoy Neurointensive Care Unit Andres BoccioAndres Boccio Neurosurgical Department, Sanatorio Junín, Junín, Buenos Aires, Argentina Originally published28 Aug 2003https://doi.org/10.1161/01.STR.0000089493.23505.CAStroke. 2003;34:e150–e151Other version(s) of this articleYou are viewing the most recent version of this article. Previous versions: August 28, 2003: Previous Version 1 To the Editor:Spontaneous intracerebral hemorrhage (ICH) is invariably linked to high morbimortality rates, especially if one is aware of the lack of current therapeutical measures that have proven to be efficient enough to have influence on the final outcome. Contrary to the beforesaid, multiple prognosis patterns using different variables such as clinical ones (Glasgow Coma Scale score) and CT scan (hematoma size) predict not only mortality but also functional outcome.Hemphill et al1 propose a grading scale, the ICH Score, composed of those independent bad prognosis predictors found in the series that was studied, whereby it should be taken into account that these were fully agreed on in previous reports.In a cohort of 152 patients, the main conclusion to be taken is that ICH Score proves to be a simple scale that is easy to use and which allows for stratification of risk, evaluating the same by mortality at 30 days from admission, which increases as the score gets higher.Fernandes et al2 retrospectively apply ICH to a series of 393 patients who make up the database of the STICH group in the United Kingdom.Figure 2 of this letter clearly shows how mortality increases when the ICH Score increases, in accordance with the findings of Hemphill et al. Download figureDownload PowerPointFigure 2. Percentage of patients who died, according to ICH score. Total, n=98 patients.It should be taken into account that contrary to Hemphill et al, in order to evaluate the final outcome, Fernandes used as "endpoint discharge from neurosurgery" instead of mortality at 30 days.Jamora et al3 applied ICH Score in 243 patients in the Philippines, confirming the outcome of the group at the University of San Francisco. Figure 1 of this letter shows that high score rates go together with high mortality, although contrary to Fernandez et al, the ICH Score is in close correlation with the functional outcome, evaluated with the Rankin scale modified at discharge from the hospital and a month afterward (Figure 2). Download figureDownload PowerPointFigure 1. Location of hemorrhage.In September 2002, on the occasion of the 13th Argentine Congress of Intensive Care, we presented preliminary data, retrospectively applying the ICH Score to a group of 70 patients. Our neurosurgical department is situated in the town of Junín, a agricultural and livestock area by excellency, known as the "pampa humeda." On the day of issuance of this letter, the series was composed of 98 individuals. The characteristics of the population group are shown in the Table, the hemorrhage location in Figure 1, and the outcome evaluating mortality at 30 days in Figure 2. No patient with an ICH Score of 0 died, whereas all patients with a score of 5 died. Thirty-day mortality rates for patients with ICH Scores of 1, 2, 3, and 4 were 6.6 %, 34%, 56%, and 70%, respectively, wherein we were able to corroborate once more the previous studies, but in a population socially and culturally different from those described previously. (It should be noted that our country is going through a severe economic, political, and cultural crisis.) General Characteristics of the Population StudiedAverage age: 67±12 ySex (M/F) 54/44Hypertension: 68.6% of the populationGlasgow Coma Scale postresuscitation: 9±3Mortality at 30 days: 37.7%We also believe that the ICH Score contributes to the study of this devastating entity, as it allows the establishment of more homogeneous groups of patients, through which a more unified language can be spoken and more collaborative and multicentric studies may be carried out in the future that help us, especially in evaluating new treatments or dismissing doubt, for example, when deciding whether surgery is suitable.1 Hemphill JC III, Bonovich DC, Besmertis L, Manley GT, Johnston SC. The ICH Score: a simple, reliable grading scale for intracerebral hemorrhage. Stroke. 2001; 32: 891–897.CrossrefMedlineGoogle Scholar2 Fernandes H, Gregson BA, Siddigue MS, Mendelow AD. Testing the ICH Score. Stroke. 2002; 33: 1455–1456. Letter.LinkGoogle Scholar3 Jamora RDG, Kishi-Generao EM, Bitanga ES, Gan RN, Apaga NNP, San Jose MC. The ICH Score: predicting mortality and functional outcome in an Asian population. Stroke. 2003; 34: 6–7. Letter.LinkGoogle ScholarstrokeahaStrokeStrokeStroke0039-24991524-4628Lippincott Williams & WilkinsstrokeahaStrokeStrokeStroke0039-24991524-4628Lippincott Williams & WilkinsResponseHemphill J. Claude, , MD, Bonovich David C., , MD, Johnston S. Claiborne, , MD, PhD, and Manley Geoffrey T., , MD, PhD01092003ResponseGregson Barbara A., , PhD, Mendelow A. David, , PhD, FRCSEd, and Fernandes Helen M., , FRCS01092003External validation of any prediction or risk-stratification model is essential to ensure generalizability and usefulness beyond the group of patients from which the model was developed. The more groups of patients on which a model is validated, and the more seemingly heterogeneous these groups, the more reassurance is provided that the model can be accurately applied in different contexts. It is with this in mind that we read with interest the letter of Drs Godoy and Boccio. By applying the ICH Score to their unique group of intracerebral hemorrhage patients from rural Argentina, they help test whether cultural differences confound the use of the ICH Score in risk stratification of 30-day mortality after ICH.It is likely that there are factors not included in the ICH Score that influence mortality after ICH. One set of factors that is often poorly measured in many studies includes cultural and societal issues that influence patient and family preferences for limiting care after neurologic catastrophes. The ICH Score has now been at least partially validated in 3 patient groups (Argentina, United Kingdom, Philippines) geographically remote from the San Francisco Bay Area population from which it was developed. It seems unlikely that patient, family, and physician preferences for ICH care were identical across all 4 cohorts, especially given that racial differences in the use of "do not resuscitate" orders and other aspects related to limiting medical care are recognized in the United States.1 The fact that the ICH Score is not confounded by its application to patient populations in widely different regions of the globe is reassuring.The fact that several groups have reported the usefulness of the ICH Score in their own cohorts suggests that it is easily applied and provides useful information about risk stratification after acute ICH. We encourage others to follow the lead of Godoy and Boccio in validating different clinical grading scales and prediction models, not just the ICH Score, in their own patient cohorts. Some of the most interesting findings may come when clinical grading scales are found valid in some geographic and cultural environments but not others. This type of international collaboration has the potential to provide a window into a challenging but important topic: how cultural aspects of care influence decision-making and outcome prediction in stroke.We are delighted to see that more authors are testing the ICH Score of Hemphill et al.1 The results observed by Godoy and Boccio are very similar to our own.2 In particular we have all (including Jamora et al3) observed a much lower mortality for patients with an ICH Score of 4.We agree that there is a need for a method to establish more homogeneous groups of patients so that we will be more successful at evaluating new treatments but we consider that mortality is not the only poor outcome. The method should be able to discriminate between those making a favorable outcome and those making an unfavorable outcome. In particular it should predict those capable of making an independent recovery: that is achieving moderate disability or good recovery on the Glasgow Outcome Score at 6 months postictus.In addition, we would be concerned if the adoption of the ICH Score discouraged researchers and clinicians from recording the full characteristics of the patient and the hematoma. There is always a danger that the analysis of results will be less sensitive if less information is collected and used. Previous Back to top Next FiguresReferencesRelatedDetailsCited By Han Q, Li M, Su D, Fu A, Li L and Chen T (2021) Development and validation of a 30-day death nomogram in patients with spontaneous cerebral hemorrhage: a retrospective cohort study, Acta Neurologica Belgica, 10.1007/s13760-021-01617-1, 122:1, (67-74), Online publication date: 1-Feb-2022. Hilton L, Lyerly M and Gropen T (2021) Race and in-hospital mortality after spontaneous intracerebral hemorrhage in the Stroke Belt: Secondary analysis of a case–control study, Journal of Clinical and Translational Science, 10.1017/cts.2021.21, 5:1, . Faigle R, Marsh E, Llinas R, Urrutia V and Gottesman R (2016) Race‐Specific Predictors of Mortality in Intracerebral Hemorrhage: Differential Impacts of Intraventricular Hemorrhage and Age Among Blacks and Whites, Journal of the American Heart Association, 5:8, Online publication date: 8-Aug-2016. Yuan B, Shen H, Lin L, Su T, Zhong L and Yang Z (2015) MicroRNA367 negatively regulates the inflammatory response of microglia by targeting IRAK4 in intracerebral hemorrhage, Journal of Neuroinflammation, 10.1186/s12974-015-0424-3, 12:1, Online publication date: 1-Dec-2015. Meyer D, Begtrup K and Grotta J (2015) Is the ICH score a valid predictor of mortality in intracerebral hemorrhage?, Journal of the American Association of Nurse Practitioners, 10.1002/2327-6924.12198, 27:7, (351-355), Online publication date: 1-Jul-2015. Lei C, Wu B, Liu M, Cao T, Wang Q, Dong W and Chang X (2014) VSARICHS: a simple grading scale for vascular structural abnormality-related intracerebral haemorrhage, Journal of Neurology, Neurosurgery & Psychiatry, 10.1136/jnnp-2014-308777, 86:8, (911-916), Online publication date: 1-Aug-2015. Sanchez Abraham M, Romano L, Latini F, Zorrilla J, Aleman A, Ioli P and Gonorazky S (2014) Correlación de la edad y el volumen de la hemorragia intracraneal espontánea supratentorial, Neurología Argentina, 10.1016/j.neuarg.2013.08.007, 6:1, (23-28), Online publication date: 1-Jan-2014. Appelboom G, Hwang B, Bruce S, Piazza M, Kellner C, Meyers P and Connolly E (2012) Predicting Outcome After Arteriovenous Malformation–Associated Intracerebral Hemorrhage with the Original ICH Score, World Neurosurgery, 10.1016/j.wneu.2011.12.001, 78:6, (646-650), Online publication date: 1-Dec-2012. Zorrilla J, Sousa L, Ioli P, Romano L, Spadaro E, Castellino G, Latini F, Abut Á and Gonorazky S (2011) Variables predictivas de letalidad y rendimiento de la escala ReC-HPC en hemorragia intracerebral primaria en pacientes anticoagulados, Neurología Argentina, 10.1016/S1853-0028(11)70021-0, 3:2, (94-99), Online publication date: 1-Apr-2011. Adeoye O, Haverbusch M, Woo D, Sekar P, Moomaw C, Kleindorfer D, Stettler B, Kissela B, Broderick J and Flaherty M (2011) Is ED disposition associated with intracerebral hemorrhage mortality?, The American Journal of Emergency Medicine, 10.1016/j.ajem.2009.10.016, 29:4, (391-395), Online publication date: 1-May-2011. Hwang B, Appelboom G, Kellner C, Carpenter A, Kellner M, Gigante P and Sander Connolly E (2010) Clinical Grading Scales in Intracerebral Hemorrhage, Neurocritical Care, 10.1007/s12028-010-9382-x, 13:1, (141-151), Online publication date: 1-Aug-2010. Patriota G, Silva-Júnior J, Barcellos A, Silva Júnior J, Toledo D, Pinto F and Rotta J (2009) Determining ICH Score: can we go beyond?, Arquivos de Neuro-Psiquiatria, 10.1590/S0004-282X2009000400006, 67:3a, (605-608), Online publication date: 1-Sep-2009. Pontes-Neto O, Oliveira-Filho J, Valiente R, Friedrich M, Pedreira B, Rodrigues B, Liberato B and Freitas G (2009) Diretrizes para o manejo de pacientes com hemorragia intraparenquimatosa cerebral espontânea, Arquivos de Neuro-Psiquiatria, 10.1590/S0004-282X2009000500034, 67:3b, (940-950), Online publication date: 1-Sep-2009. Rost N, Smith E, Chang Y, Snider R, Chanderraj R, Schwab K, FitzMaurice E, Wendell L, Goldstein J, Greenberg S and Rosand J (2008) Prediction of Functional Outcome in Patients With Primary Intracerebral Hemorrhage, Stroke, 39:8, (2304-2309), Online publication date: 1-Aug-2008. Rønning P, Sorteberg W, Nakstad P, Russell D and Helseth E (2008) Aspects of intracerebral hematomas - an update, Acta Neurologica Scandinavica, 10.1111/j.1600-0404.2008.01023.x, 118:6, (347-361), Online publication date: 1-Dec-2008. Godoy D, Piñero G and Di Napoli M (2006) Predicting Mortality in Spontaneous Intracerebral Hemorrhage, Stroke, 37:4, (1038-1044), Online publication date: 1-Apr-2006. Wang W, Lu J, Wang C, Wang Y, Li H, Zhao X and Salluh J (2013) Prognostic Value of ICH Score and ICH-GS Score in Chinese Intracerebral Hemorrhage Patients: Analysis From the China National Stroke Registry (CNSR), PLoS ONE, 10.1371/journal.pone.0077421, 8:10, (e77421) September 2003Vol 34, Issue 9 Advertisement Article InformationMetrics https://doi.org/10.1161/01.STR.0000089493.23505.CAPMID: 12947164 Originally publishedAugust 28, 2003 PDF download Advertisement

Referência(s)
Altmetric
PlumX