Miguel A. Castro Villamor

Prof. Dr. Miguel A. Castro Villamor

Medicine, toxicology and dermatology Department, Universidad de Valladolid, Valladolid, Castille-Leon, Spain
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Research Focus & Metrics

Academic Career Length

37Years (1990-Present)

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

Representative Publications

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18 August 2021 in Biomedicines
Verified
Journal Article
Open access
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AAAna Alberdi-Iglesias
Ana Alberdi-Iglesias
FMFrancisco Martín-Rodríguez
Francisco Martín-Rodríguez
GOGuillermo Ortega
Guillermo Ortega
ARAna I. Rubio-Babiano
Ana I. Rubio-Babiano
MNMaría G. Núñez-Toste
María G. Núñez-Toste
RLRaúl López-Izquierdo
Raúl López-Izquierdo
The ability of COVID-19 to compromise the respiratory system has generated a substantial proportion of critically ill patients in need of invasive mechanical ventilation (IMV). The objective of this paper was to analyze the prognostic ability of the pulse oximetry saturation/fraction of inspired oxygen ratio (SpO2/FiO2) and the ratio of SpO2/FiO2 to the respiratory rate–ROX index–as predictors of IMV in an emergency department in confirmed COVID-19 patients. A multicenter, retrospective cohort study was carried out in four provinces of Spain between March and November 2020. The discriminative power of the predictive variable was assessed through a prediction model trained using a derivation sub-cohort and evaluated by the area under the curve (AUC) of the receiver operating characteristic (ROC) on the validation sub-cohort. A total of 2040 patients were included in the study. The IMV rate was 10.1%, with an in-hospital mortality rate of 35.3%. The performance of the SpO2/FiO2 ratio was better than the ROX index–AUC = 0.801 (95% CI 0.746–0.855) and AUC = 0.725 (95% CI 0.652–0.798), respectively. In fact, a direct comparison between AUCs resulted in significant differences (p = 0.001). SpO2 to FiO2 ratio is a simple and promising non-invasive tool for predicting risk of IMV in patients infected with COVID-19, and it is realizable in emergency departments.

25 October 2019 in Prehospital and Disaster Medicine
Verified
Journal Article
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FMFrancisco Martín-Rodríguez
Francisco Martín-Rodríguez
RLRaúl López-Izquierdo
Raúl López-Izquierdo
CVCarlos Del Pozo Vegas
Carlos Del Pozo Vegas
JBJuan F. Delgado Benito
Juan F. Delgado Benito
VRVirginia Carbajosa Rodríguez
Virginia Carbajosa Rodríguez
MVMiguel A. Castro Villamor
Miguel A. Castro Villamor
Introduction: In cases of mass-casualty incidents (MCIs), triage represents a fundamental tool for the management of and assistance to the wounded, which helps discriminate not only the priority of attention, but also the priority of referral to the most suitable center.Hypothesis/Problem: The objective of this study was to evaluate the capacity of different prehospital triage systems based on physiological parameters (Shock Index [SI], Glasgow-Age-Pressure Score [GAP], Revised Trauma Score [RTS], and National Early Warning Score 2 [NEWS2]) to predict early mortality (within 48 hours) from the index event for use in MCIs.Methods: This was a longitudinal prospective observational multi-center study on patients who were attended by Advanced Life Support (ALS) units and transferred to the emergency department (ED) of their reference hospital. Collected were: demographic, physiological, and clinical variables; main diagnosis; and data on early mortality. The main outcome variable was mortality from any cause within 48 hours.Results: From April 1, 2018 through February 28, 2019, a total of 1,288 patients were included in this study. Of these, 262 (20.3%) participants required assistance for trauma and injuries by external agents. Early mortality within the first 48 hours due to any cause affected 69 patients (5.4%). The system with the best predictive capacity was the NEWS2 with an area under the curve (AUC) of 0.891 (95% CI, 0.84-0.94); a sensitivity of 79.7% (95% CI, 68.8-87.5); and a specificity of 84.5% (95% CI, 82.4-86.4) for a cut-off point of nine points, with a positive likelihood ratio of 5.14 (95% CI, 4.31-6.14) and a negative predictive value of 98.7% (95% CI, 97.8-99.2).Conclusion: Prehospital scores of the NEWS2 are easy to obtain and represent a reliable test, which make it an ideal system to help in the initial assessment of high-risk patients, and to determine their level of triage effectively and efficiently. The Prehospital Emergency Medical System (PhEMS) should evaluate the inclusion of the NEWS2 as a triage system, which is especially useful for the second triage (evacuation priority).

1 September 2019 in The American Journal of Emergency Medicine
Verified
Journal Article
Closed access
FMFrancisco Martín-Rodríguez
Francisco Martín-Rodríguez
RLRaúl López-Izquierdo
Raúl López-Izquierdo
MVMiguel A. Castro Villamor
Miguel A. Castro Villamor
IMIratxe Moro Mangas
Iratxe Moro Mangas
PIPablo del Brío Ibáñez
Pablo del Brío Ibáñez
CVCarlos Del Pozo Vegas
Carlos Del Pozo Vegas

9 January 2019 in Internal and Emergency Medicine
Verified
Journal Article
Closed access
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FMFrancisco Martín-Rodríguez
Francisco Martín-Rodríguez
MVMiguel A. Castro Villamor
Miguel A. Castro Villamor
CVCarlos Del Pozo Vegas
Carlos Del Pozo Vegas
JCjoseluis martin conty
joseluis martin conty
AMAgustín Mayo-Iscar
Agustín Mayo-Iscar
RLRaúl López-Izquierdo
Raúl López-Izquierdo

1 September 2020 in Heart & Lung
Verified
Journal Article
Closed access
FMFrancisco Martín-Rodríguez
Francisco Martín-Rodríguez
RLRaúl López-Izquierdo
Raúl López-Izquierdo
CVCarlos Del Pozo Vegas
Carlos Del Pozo Vegas
ISIrene Sánchez-Soberón
Irene Sánchez-Soberón
JDJuan F. Delgado-Benito
Juan F. Delgado-Benito
MVMiguel A. Castro Villamor
Miguel A. Castro Villamor

10 July 2020 in European Journal of Clinical Investigation
Verified
Journal Article
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FMFrancisco Martín-Rodríguez
Francisco Martín-Rodríguez
RLRaúl López‐Izquierdo
Raúl López‐Izquierdo
EMElena Medina‐Lozano
Elena Medina‐Lozano
GRGuillermo Ortega Rabbione
Guillermo Ortega Rabbione
CVCarlos del Pozo Vegas
Carlos del Pozo Vegas
ASAncor Sanz-Garcia
Ancor Sanz-Garcia