José M Ramírez-Moreno

Prof. Dr. José M Ramírez-Moreno

Extremadura University (Spain). School of Medicine. Stroke Center. Universitary Hospital of Badajoz. GRIMEX. INUBE.
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Research Focus & Metrics

Academic Career Length

30Years (1997-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 December 2018 in The Lancet Neurology
Verified
Journal Article
Closed access
SKScott E Kasner
Scott E Kasner
BSBalakumar Swaminathan
Balakumar Swaminathan
PLPablo Lavados
Pablo Lavados
MSMukul Sharma
Mukul Sharma
KMKeith Muir
Keith Muir
JZJ Zwiernik
J Zwiernik

1 October 2013 in Journal of Stroke and Cerebrovascular Diseases
Verified
Journal Article
Closed access
PCPedro Enrique Jiménez Caballero
Pedro Enrique Jiménez Caballero
FIDEL Lopez-EspuelaFIDEL Lopez-Espuela
FIDEL Lopez-Espuela
JCJuan Carlos Portilla Cuenca
Juan Carlos Portilla Cuenca
José M Ramírez-MorenoJosé M Ramírez-Moreno
José M Ramírez-Moreno
JZJuan Diego Pedrera Zamorano
Juan Diego Pedrera Zamorano
INIgnacio Casado Naranjo
Ignacio Casado Naranjo

1 September 2011 in Neurología
Verified
Journal Article
Closed access
JMJ. Masjuan
J. Masjuan
JSJosé Alvarez Sabín
José Alvarez Sabín
JAJ. Arenillas
J. Arenillas
SPSergio Calleja Puerta
Sergio Calleja Puerta
JCJosé Castillo
José Castillo
CTC. Tejero
C. Tejero

7 January 2012 in Cerebrovascular Diseases
Verified
Journal Article
Closed access
PDF file
Francisco PurroyFrancisco Purroy
Francisco Purroy
PCP.E. Jiménez Caballero
P.E. Jiménez Caballero
AGA. Gorospe
A. Gorospe
MTM.J. Torres
M.J. Torres
JSJosé Alvarez Sabín
José Alvarez Sabín
OGon behalf of the Stroke Project of the Spanish Cerebrovascular Diseases Study Group
on behalf of the Stroke Project of the Spanish Cerebrovascular Diseases Study Group
Background: Several clinical scales have been developed for predicting stroke recurrence. These clinical scores could be extremely useful to guide triage decisions. Our goal was to compare the very early predictive accuracy of the most relevant clinical scores [age, blood pressure, clinical features and duration of symptoms (ABCD) score, ABCD and diabetes (ABCD2) score, ABCD and brain infarction on imaging score, ABCD2 and brain infarction on imaging score, ABCD and prior TIA within 1 week of the index event (ABCD3) score, California Risk Score, Essen Stroke Risk Score and Stroke Prognosis Instrument II] in consecutive transient ischemic attack (TIA) patients. Methods: Between April 2008 and December 2009, we included 1,255 consecutive TIA patients from 30 Spanish stroke centers (PROMAPA study). A neurologist treated all patients within the first 48 h after symptom onset. The duration and typology of clinical symptoms, vascular risk factors and etiological work-ups were prospectively recorded in a case report form in order to calculate established prognostic scores. We determined the early short-term risk of stroke (at 7 and 90 days). To evaluate the performance of each model, we calculated the area under the receiver operating characteristic curve. Cox proportional hazards multivariate analyses determining independent predictors of stroke recurrence using the different components of all clinical scores were calculated. Results: We calculated clinical scales for 1,137 patients (90.6%). Seven-day and 90-day stroke risks were 2.6 and 3.8%, respectively. Large-artery atherosclerosis (LAA) was observed in 190 patients (16.7%). We could confirm the predictive value of the ABCD3 score for stroke recurrence at the 7-day follow-up [0.66, 95% confidence interval (CI) 0.54–0.77] and 90-day follow-up (0.61, 95% CI 0.52–0.70), which improved when we added vascular imaging information and derived ABCD3V scores by assigning 2 points for at least 50% symptomatic stenosis on carotid or intracranial imaging (0.69, 95% CI 0.57–0.81, and 0.63, 95% CI 0.51–0.69, respectively). When we evaluated each component of all clinical scores using Cox regression analyses, we observed that prior TIA and LAA were independent predictors of stroke recurrence at the 7-day follow-up [hazard ratio (HR) 3.97, 95% CI 1.91–8.26, p < 0.001, and HR 3.11, 95% CI 1.47–6.58, p = 0.003, respectively] and 90-day follow-up (HR 2.35, 95% CI 1.28–4.31, p = 0.006, and HR 2.20, 95% CI 1.15–4.21, p = 0.018, respectively). Conclusion: All published scores that do not take into account vascular imaging or prior TIA when identifying stroke risk after TIA failed to predict risk when applied by neurologists. Clinical scores were not able to replace extensive emergent diagnostic evaluations such as vascular imaging, and they should take into account unstable patients with recent prior transient episodes.

30 December 2020 in Occupational and Environmental Medicine
Verified
Journal Article
Open access
PDF file
José M Ramírez-MorenoJosé M Ramírez-Moreno
José M Ramírez-Moreno
DCDavid Ceberino
David Ceberino
APAlberto Gonzalez Plata
Alberto Gonzalez Plata
BRBelen Rebollo
Belen Rebollo
PSPablo Macias Sedas
Pablo Macias Sedas
ACAna B Constantino
Ana B Constantino
Objectives The pandemic caused by the new coronavirus (COVID-19) has changed care activities of health professionals. We analysed the possible association between the appearance of ‘de novo’ headache according to the type of mask used, the related factors and the impact of the cephalalgia on health professionals. Methods Cross-sectional study in a tertiary hospital in Extremadura, Spain. We provided an online questionnaire to healthcare workers during the period of maximum incidence of COVID-19 in our setting. Results The subjects are n=306, 244 women (79.7%), with an average age of 43 years (range 23–65). Of the total, 129 (42.2%) were physicians, 112 (36.6%) nurses and 65 (21.2%) other health workers. 208 (79.7%) used surgical masks and 53 (20.3%) used filter masks. Of all those surveyed, 158 (51.6%) presented ‘de novo’ headache. The occurrence of a headache was independently associated with the use of a filter mask, OR 2.14 (95% CI 1.07 to 4.32); being a nurse, OR 2.09 (95% CI 1.18 to 3.72) or another health worker, OR 6.94 (95% CI 3.01 to 16.04); or having a history of asthma, OR 0.29 (95% CI 0.09 to 0.89). According to the type of mask used, there were differences in headache intensity, and the impact of a headache in the subjects who used a filter mask was worse in all the aspects evaluated. Conclusion The appearance of ‘de novo’ headache is associated with the use of filter masks and is more frequent in certain healthcare workers, causing a greater occupational, family, personal and social impact.

1 May 2009 in Stroke
Verified
Journal Article
Closed access
José M Ramírez-MorenoJosé M Ramírez-Moreno
José M Ramírez-Moreno
ICIgnacio Casado-Naranjo
Ignacio Casado-Naranjo
JPJuan Carlos Portilla
Juan Carlos Portilla
MCMaría Luisa Calle
María Luisa Calle
DTDavid Tena
David Tena
ASAna Serrano
Ana Serrano
Background and Purpose— Prognostic significance of low-density lipoprotein cholesterol (LDL-C) in intracranial hemorrhage (ICH) is unclear. The objective of this study was to determine the association between LDL-C and mortality in ICH. Methods— Consecutive patients (n=88) presenting with ICH were included in the study. Lipid profile was obtained during the first hours after admission. We analyzed the impact of LDL-C on 90-day mortality using the Hazard Rate (HR) crude, analysis crude for trend by Mantel–Haenszel Test, Multiple Cox Proportional Hazards model, and analysis of survival curves. Association between LDL-C and severity markers of ICH were explored using Spearman correlation coefficient. Results— Low LDL-C levels were independently associated with death after intracranial hemorrhage (HR=3.07 (95% CI:1.04 to 9.02; P =0.042) in multivariable analysis after controlling for confounding factors. Analysis for trend showed a significant association (Xt=−2.144; P =0.032) by Mantel-Haenszel Test. Spearman analysis showed no correlation between LDL-C and variables that are markers of ICH severity: NIH score ( r =−0.091; P =0.400), GCS score ( r =0.136; P =0.207), ICH volume ( r =0.140; P =0.192), and length of stay ( r =−0.111; P =0.308). Conclusions— Low levels of LDL-C are independently associated with an increased risk of death in patients with brain hemorrhage. We have not found evidences that the levels of LDL-C can act as a biological marker of severity.