Publications by authors named "Maria Carmen Lea Pereira"

Article Synopsis
  • Stroke is a prevalent condition that often leads to significant disability, prompting the development of a predictive model using Spain’s Minimum Basic Data Set (MBDS) to assess ischaemic stroke mortality.
  • The study involved external validation and recalibration of the predictive model with data from a later cohort (2016-2018), revealing a recalibrated model with an AUC of 0.743, indicating its ability to predict mortality.
  • Key variables affecting mortality included age, gender, and pre-existing conditions like ischaemic heart disease and heart failure, demonstrating the model's moderate to high effectiveness in predicting patient outcomes.
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: Among the clinical predictors of a heart failure (HF) prognosis, different personal factors have been established in previous research, mainly age, gender, anemia, renal insufficiency and diabetes, as well as mediators (pulmonary embolism, hypertension, chronic obstructive pulmonary disease (COPD), arrhythmias and dyslipidemia). We do not know the role played by contextual and individual factors in the prediction of in-hospital mortality. : The present study has added hospital and management factors (year, type of hospital, length of stay, number of diagnoses and procedures, and readmissions) in predicting exitus to establish a structural predictive model.

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Background: Stroke is the second cause of mortality worldwide and the first in women. The aim of this study is to develop a predictive model to estimate the risk of mortality in the admission of patients who have not received reperfusion treatment.

Methods: A retrospective cohort study was conducted of a clinical-administrative database, reflecting all cases of non-reperfused ischaemic stroke admitted to Spanish hospitals during the period 2008-2012.

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Background: Various models have been proposed to predict mortality rates for hospital patients undergoing colorectal cancer surgery. However, none have been developed in Spain using clinical administrative databases and none are based exclusively on the variables available upon admission. Our study aim is to detect factors associated with in-hospital mortality in patients undergoing surgery for colorectal cancer and, on this basis, to generate a predictive mortality score.

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Objectives: To find out the magnitude of violence against female partners among patients who visit their family doctor. To study frequency and acceptance of its investigation by the family doctor and to assess the effectiveness of a screening question on abuse.

Design: Descriptive, cross-sectional study.

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