Search results for "Regression"

showing 10 items of 2619 documents

Prospective external validation of a predictive score for postoperative pulmonary complications.

2015

Abstract Background: No externally validated risk score for postoperative pulmonary complications (PPCs) is currently available. The authors tested the generalizability of the Assess Respiratory Risk in Surgical Patients in Catalonia risk score for PPCs in a large European cohort (Prospective Evaluation of a RIsk Score for postoperative pulmonary COmPlications in Europe). Methods: Sixty-three centers recruited 5,859 surgical patients receiving general, neuraxial, or plexus block anesthesia. The Assess Respiratory Risk in Surgical Patients in Catalonia factors (age, preoperative arterial oxygen saturation in air, acute respiratory infection during the previous month, preoperative anemia, upp…

medicine.medical_specialtyIMPACTRESPIRATORY-FAILUREAtelectasisMULTIFACTORIAL RISK INDEXMedicineNONTHORACIC SURGERYProspective cohort studyPOPULATIONFramingham Risk Scorebusiness.industryExternal validationRespiratory infectionmedicine.diseaseSurgeryPROGNOSTIC MODELAnesthesiology and Pain MedicinePneumothoraxINTUBATIONPredictive value of testsLOGISTIC-REGRESSION MODELSMAJOR NONCARDIAC SURGERYRisk assessmentbusinessLOGISTIC-REGRESSION MODELS; MULTIFACTORIAL RISK INDEX; MAJOR NONCARDIAC SURGERY; NONTHORACIC SURGERY; RESPIRATORY-FAILURE; PROGNOSTIC MODEL; POPULATION; IMPACT; INTUBATIONCohort study
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The Dietary Inflammatory Index and asthma burden in children: A latent class analysis

2021

Introduction: Unbalanced dietary intake has been increasingly recognized as an important modifiable risk factor for asthma. In this study, we assessed whether a pro-inflammatory diet is associated with higher asthma burden in three steps: (1) identification of asthma latent classes (LC) based on symptoms, indoor exposures, and pulmonary function; (2) identification of risk factors associated with LC membership; and (3) estimation of the probabilities of LC membership with variation in DII. Methods: A cross-sectional study on 415 children aged 5–14 years (266 with persistent asthma and 149 controls). LC analysis was performed in asthmatic children. The DII was calculated based on a semiquant…

medicine.medical_specialtyImmunologyLogistic regressionArticlePulmonary function testingburdenchildrenRisk FactorsInternal medicinelatent class analysisHumansImmunology and AllergyMedicineRisk factorDisease burdenLung functionAsthmaInflammationbusiness.industryindoor exposuresSymptom burdenlung functionasthmamedicine.diseaseLatent class modelasthma burden children dietary inflammatory index indoor exposures latent class analysis lung functionCross-Sectional StudiesPediatrics Perinatology and Child Healthdietary inflammatory indexbusinessdiet
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Multidimensional Prognostic Index and Mortality in Intermediate Care Facilities: A Retrospective Study.

2021

Multidimensional prognostic index (MPI) is a frailty assessment tool used for stratifying prognosis in older hospitalized people, but data regarding older people admitted to intermediate care facilities (ICFs) are missing. The aim of this study is to evaluate whether MPI can predict mortality in older patients admitted to the ICFs. MPI was calculated using different domains explored by a standard comprehensive geriatric assessment and categorized into tertiles (MPI-1 ≤ 0.20, MPI-2 0.20–0.34, MPI-3 &gt

medicine.medical_specialtyIndex (economics)Intermediate Care FacilityArticle03 medical and health sciences0302 clinical medicineInternal medicineRisk of mortalityMedicine030212 general & internal medicinebusiness.industryHazard ratioRArea under the curveRegression analysisRetrospective cohort studyGeneral MedicinemortalityConfidence intervalmultidimensional prognostic indexintermediate careprognosis.Medicineprognosisbusiness030217 neurology & neurosurgeryJournal of clinical medicine
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Information transfer and information modification to identify the structure of cardiovascular and cardiorespiratory networks

2017

To fully elucidate the complex physiological mechanisms underlying the short-term autonomic regulation of heart period (H), systolic and diastolic arterial pressure (S, D) and respiratory (R) variability, the joint dynamics of these variables need to be explored using multivariate time series analysis. This study proposes the utilization of information-theoretic measures to measure causal interactions between nodes of the cardiovascular/cardiorespiratory network and to assess the nature (synergistic or redundant) of these directed interactions. Indexes of information transfer and information modification are extracted from the H, S, D and R series measured from healthy subjects in a resting…

medicine.medical_specialtyInformation transferPosture0206 medical engineeringBiomedical EngineeringBlood PressureHealth Informatics02 engineering and technologycomputer.software_genreCardiovascular SystemDiastolic arterial pressureAutonomic regulation03 medical and health sciences0302 clinical medicineHeart RateInternal medicineBayesian multivariate linear regressionmedicine1707Resting state fMRIbusiness.industryRespirationMultivariate time series analysisHealthy subjectsCardiorespiratory fitness020601 biomedical engineeringSignal ProcessingSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaLinear ModelsCardiologyData miningbusinesscomputer030217 neurology & neurosurgery2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
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Spanish Dentists’ Awareness, Knowledge, and Practice Regarding COVID-19: A Multiple Regression Analysis

2021

The authors thank the Spanish Society of Epidemiology and Oral Public Health (SESPO) for expert supervision of the questionnaire; the Spanish General Council of Dentists (GCD) and the Spanish societies of dental hygienists for their rapid dissemination of the survey to their members.

medicine.medical_specialtyIsolation (health care)Dental auxiliaryeducation.educational_degreeDentistsInfection controlDiseaseDentistArticle03 medical and health sciences0302 clinical medicineDental StaffPandemicmedicineInfection controlHumans030212 general & internal medicineDental practice managementeducationGeneral DentistryPersonal protective equipmentbusiness.industrySARS-CoV-2Mortality rateCOVID-19RK1-715030206 dentistrystomatognathic diseasesCross-Sectional StudiesDental hygienistsDentistryFamily medicineRegression AnalysisbusinessDental hygienist
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The association of patient age with postoperative morbidity and mortality following resection of intracranial tumors

2021

Abstract Introduction The postoperative functional status of patients with intracranial tumors is influenced by patient-specific factors, including age. Research question This study aimed to elucidate the association between age and postoperative morbidity or mortality following the resection of brain tumors. Material and methods A multicenter database was retrospectively reviewed. Functional status was assessed before and 3–6 months after tumor resection by the Karnofsky Performance Scale (KPS). Uni- and multivariable linear regression were used to estimate the association of age with postoperative change in KPS. Logistic regression models for a ≥10-point decline in KPS or mortality were b…

medicine.medical_specialtyKPSTumor resectionLogistic regressionIntracranial tumorResection03 medical and health sciences0302 clinical medicineAgePatient agemedicineIn patient10. No inequalityRC346-429OutcomeMultivariable linear regressionbusiness.industryFunctional statusOdds ratioSurgery030220 oncology & carcinogenesisFunctional statusRisk factorNeurology. Diseases of the nervous systembusiness030217 neurology & neurosurgeryBrain and Spine
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Comparison between statistical and fuzzy approaches for improving diagnostic decision making in patients with chronic nasal symptoms

2014

This paper compares a fuzzy model, expressed in rule-form, with a well known statistical approach (i.e. logistic regression model) for diagnostic decision making in patients with chronic nasal symptoms. The analyses were carried out using a database obtained from a questionnaire administered to 1359 patients with nasal symptoms containing personal data, clinical data and skin prick test (SPT) results. Both the fuzzy model and the logistic regression model developed were validated using a data set obtained from another medical institution. The accuracy of the two models in identifying patients with positive or negative SPT was similar. This study is a preliminary step to the creation of a so…

medicine.medical_specialtyLogistic regression modelSettore MED/09 - Medicina InternaSkin prick testLogicFuzzy inference systemFuzzy modelPrimary careSettore MED/10 - Malattie Dell'Apparato RespiratorioFuzzy relationLogistic regressionMachine learningcomputer.software_genreFuzzy logicSettore SECS-S/06 -Metodi Mat. dell'Economia e d. Scienze Attuariali e Finanz.Artificial IntelligenceFuzzy modelmedicineIn patientMathematicsNasal symptombusiness.industryApproximate reasoningTest (assessment)Data setPhysical therapyArtificial intelligenceDiagnostic decision makingbusinesscomputerNasal symptomsFuzzy Sets and Systems
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Adherence to medical follow‐up recommendations reduces hospital admissions: Evidence from diabetic patients in France

2020

International audience; The aim of this study was to document the extent to which diabetic patients who adhered to required medical follow‐ups in France experienced reduced hospital admissions over time. The main assumption was that enhanced monitoring and follow‐up of diabetic patients in the primary care setting could be a substitute for hospital use. Using longitudinal claim data of diabetic patients between 2010 and 2015 from MGEN, a leading mutuelle insurance company in France, we estimated a dynamic logit model with lagged measures of the quality of adherence to eight medical follow‐up recommendations. This model allowed us to disentangle follow‐up care in hospitals from other forms o…

medicine.medical_specialtyLogistic regression03 medical and health sciences0302 clinical medicineDiabetes mellitusDiabetes MellitusmedicineHumansIn patient030212 general & internal medicineHealth policyHospital useDiabetic patientsHospital admissionsInpatient carebusiness.industry030503 health policy & servicesHealth PolicyPublic healthmedicine.disease[SHS.ECO]Humanities and Social Sciences/Economics and FinanceHospitals3. Good healthHospitalizationEmergency medicine[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologieFrance0305 other medical sciencebusinessFollow-Up StudiesPanel data
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Trend of hospitalized cases of oral cancer in Brazil and its relationship with oral health coverage in public health system between 2009 and 2017

2020

Background This study aimed to analyze the trend in the number of hospitalized cases of oral cancer in Brazil, according to the coverage of oral health services in public health system, and also investigate the influence of healthcare and clinical characteristics on the severity of oral cancer cases. Material and Methods This retrospective study considered the period between 2009 and 2017. Data from the Hospital Registry of Cancer from the National Cancer Institute were used, considering the primary locations C00 to C06. Detailed information including sex, age, alcohol and tobacco use, year of first consultation, and the clinical stage of the cases were also collected. The frequency of hosp…

medicine.medical_specialtyMEDLINEOral HealthDental SpecialtyOral healthLogistic regressionhistologic differentiation03 medical and health sciences0302 clinical medicineHealth caremedicineHumansGeneral DentistryUNESCO:CIENCIAS MÉDICASRetrospective StudiesOral Medicine and Pathologyoral squamous cell carcinoma (oscc)locally advanced diseasebusiness.industryResearchPublic healthCancerRetrospective cohort study030206 dentistrymedicine.diseaseOtorhinolaryngologyFamily medicinecervical lymph node metastasisMouth NeoplasmsSurgeryPublic HealthbusinessBrazilMedicina Oral Patología Oral y Cirugia Bucal
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Survival prediction in patients undergoing ischemic cardiopathy

2009

The ischemic cardiopathy is the main cause of death in developed countries. New improved drugs and therapies have appeared last years. However, the interventionist strategy and the most powerful drugs may have complications, and hence, it is very important to know the risk of death associated with patients during their stay in the hospital, or in the next six months. Thus, it is possible to tune the best treatment for each individual patient. In this framework, the use of artificial neural networks is proposed with a double objective: survival prediction and the extraction of the parameters with best predictive capabilities. A cohort of 691 patients treated in the Hospital Clinic, in Barcel…

medicine.medical_specialtyMedical treatmentbusiness.industryCohortEmergency medicineDecision treeMedicineIn patientRisk of deathbusinessLogistic regressionDeveloped countryCause of death2009 International Joint Conference on Neural Networks
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