7 research outputs found

    Evaluación de Tecnologías Sanitarias (ETS) en el Perú: estado actual y retos futuros

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    A health technology (drug, vaccine, medical device, procedure) is submitted to a systematic evaluation procedure, called Health Technology Assessment (HTA). The HTA process involves analyzing the properties, benefits, risks and costs of a technology applied to health care, and issuing evidence-based information, linking research and its findings with decision-making in the field of health. Based on the recommendations obtained as a result of the HTA, decision-makers in the health sector choose to admit or reject the incorporation of new health technologies. In Peru, as in the rest of the world, the health technology assessment process has been implemented for approximately ten years, and there are institutions with experience in preparing reports with the results of the HTA. This article provides a general overview of HTA in the world, with special emphasis on their evolution and development in Peru.Una tecnología sanitaria (medicamento, vacuna, dispositivo médico, procedimiento) es sometida a un procedimiento sistemático de valorización, denominado evaluación de tecnologías sanitarias (ETS). El proceso de ETS conlleva analizar una tecnología aplicada a la atención sanitaria, y emitir información basada en evidencias, vinculando la investigación y sus hallazgos con la toma de decisiones en el ámbito de la salud. En base a las recomendaciones obtenidas como resultado de la ETS, los encargados de decidir en el sector salud optan por admitir o rechazar la inclusión de nuevas tecnologías en el ámbito sanitario. En el Perú, al igual que en el resto del mundo, la ETS se ha implementado desde hace aproximadamente diez años, existiendo instituciones con experiencia en la elaboración de informes con los resultados de la ETS. El presente artículo brinda un panorama general de las ETS en el mundo, con especial énfasis en su evolución y desarrollo en el Perú

    Mortality from gastrointestinal congenital anomalies at 264 hospitals in 74 low-income, middle-income, and high-income countries: a multicentre, international, prospective cohort study

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    Summary Background Congenital anomalies are the fifth leading cause of mortality in children younger than 5 years globally. Many gastrointestinal congenital anomalies are fatal without timely access to neonatal surgical care, but few studies have been done on these conditions in low-income and middle-income countries (LMICs). We compared outcomes of the seven most common gastrointestinal congenital anomalies in low-income, middle-income, and high-income countries globally, and identified factors associated with mortality. Methods We did a multicentre, international prospective cohort study of patients younger than 16 years, presenting to hospital for the first time with oesophageal atresia, congenital diaphragmatic hernia, intestinal atresia, gastroschisis, exomphalos, anorectal malformation, and Hirschsprung’s disease. Recruitment was of consecutive patients for a minimum of 1 month between October, 2018, and April, 2019. We collected data on patient demographics, clinical status, interventions, and outcomes using the REDCap platform. Patients were followed up for 30 days after primary intervention, or 30 days after admission if they did not receive an intervention. The primary outcome was all-cause, in-hospital mortality for all conditions combined and each condition individually, stratified by country income status. We did a complete case analysis. Findings We included 3849 patients with 3975 study conditions (560 with oesophageal atresia, 448 with congenital diaphragmatic hernia, 681 with intestinal atresia, 453 with gastroschisis, 325 with exomphalos, 991 with anorectal malformation, and 517 with Hirschsprung’s disease) from 264 hospitals (89 in high-income countries, 166 in middleincome countries, and nine in low-income countries) in 74 countries. Of the 3849 patients, 2231 (58·0%) were male. Median gestational age at birth was 38 weeks (IQR 36–39) and median bodyweight at presentation was 2·8 kg (2·3–3·3). Mortality among all patients was 37 (39·8%) of 93 in low-income countries, 583 (20·4%) of 2860 in middle-income countries, and 50 (5·6%) of 896 in high-income countries (p<0·0001 between all country income groups). Gastroschisis had the greatest difference in mortality between country income strata (nine [90·0%] of ten in lowincome countries, 97 [31·9%] of 304 in middle-income countries, and two [1·4%] of 139 in high-income countries; p≤0·0001 between all country income groups). Factors significantly associated with higher mortality for all patients combined included country income status (low-income vs high-income countries, risk ratio 2·78 [95% CI 1·88–4·11], p<0·0001; middle-income vs high-income countries, 2·11 [1·59–2·79], p<0·0001), sepsis at presentation (1·20 [1·04–1·40], p=0·016), higher American Society of Anesthesiologists (ASA) score at primary intervention (ASA 4–5 vs ASA 1–2, 1·82 [1·40–2·35], p<0·0001; ASA 3 vs ASA 1–2, 1·58, [1·30–1·92], p<0·0001]), surgical safety checklist not used (1·39 [1·02–1·90], p=0·035), and ventilation or parenteral nutrition unavailable when needed (ventilation 1·96, [1·41–2·71], p=0·0001; parenteral nutrition 1·35, [1·05–1·74], p=0·018). Administration of parenteral nutrition (0·61, [0·47–0·79], p=0·0002) and use of a peripherally inserted central catheter (0·65 [0·50–0·86], p=0·0024) or percutaneous central line (0·69 [0·48–1·00], p=0·049) were associated with lower mortality. Interpretation Unacceptable differences in mortality exist for gastrointestinal congenital anomalies between lowincome, middle-income, and high-income countries. Improving access to quality neonatal surgical care in LMICs will be vital to achieve Sustainable Development Goal 3.2 of ending preventable deaths in neonates and children younger than 5 years by 2030

    Asociación entre el bajo nivel de vitamina B12 y deterioro cognitivo en adultos mayores del Centro Médico Naval del Perú: Association between low level of vitamin B12 and cognitive impairment in older adults from the Naval Medical Center of Peru

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    Introduction: Older adults are susceptible to malnutrition and vitamin deficiency. Objective: To determine the association between the low level of vitamin B12 and cognitive deterioration in older adults from the Naval Medical Center, located in Lima-Peru, in the period 2010-2015. Methods: An analytical cross-sectional study was carried out, based on a secondary analysis of the Texas-Cemena UTMB 2010-2015 database of the Center for Research on Aging (CIEN) of the University of San Martín de Porres. To quantify the cognitive impairment variable, the MiniMental Test was used. To analyze the association, the Chi-square test and Poisson regression were performed. Results: 57.6% of the patients were male and the mean age was 78 ± 8.4. 41.2% presented cognitive deterioration and 9.5% of the patients presented vitamin B12 deficiency. The factors independently associated with cognitive impairment were a history of cerebrovascular disease (PR= 1.38 95% CI [1.24-1.53]), depression (PR= 1.88 95% CI [1.80-1 .97]) and vitamin B12 deficiency (PR = 1.10 95% CI [1.01-1.20]). Conclusions: In the present study, an association was found between a low level of vitamin B12 and cognitive deterioration in older adults.Introducción: Los adultos mayores son suscepctibles a la malnutrición y el déficit de vitaminas. Objetivo: Determinar la asociación entre el bajo nivel de vitamina B12 y el deterioro cognitivo en adultos mayores del Centro Médico Naval, ubicado en Lima-Perú, en el periodo 2010-2015. Métodos: Se realizó un estudio transversal analítico, a partir de un análisis secundario de la base de datos Texas-Cemena UTMB 2010-2015 del Centro de Investigación del Envejecimiento (CIEN) de la Universidad de San Martín de Porres. Para la cuantificación de la variable de deterioro cognitivo se utilizó el MiniMental Test. Para analizar la asociación, se realizó la prueba de Chi cuadrado y la regresión de Poisson. Resultados: El 57,6% de los pacientes fueron de sexo masculino y la edad promedio fue de 78 ± 8,4. El 41,2% presentó deterioro cognitivo y el 9,5% de los pacientes presentó déficit de vitamina B12. Los factores independientemente asociados al deterioro cognitivo fueron el antecedente de enfermedad cerebro vascular (RP= 1,38 IC 95% [1,24-1,53]), depresión (RP = 1,88 IC 95% [1,80-1,97]) y déficit de vitamina B12 (RP = 1,10 IC 95% [1,01-1,20]). Conclusiones: En el presente estudio se encontró asociación entre un bajo nivel de vitamina B12 y el deterioro cognitivo en adultos mayores

    Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora

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    International audienceThe Pandora Software Development Kit and algorithm libraries provide pattern-recognition logic essential to the reconstruction of particle interactions in liquid argon time projection chamber detectors. Pandora is the primary event reconstruction software used at ProtoDUNE-SP, a prototype for the Deep Underground Neutrino Experiment far detector. ProtoDUNE-SP, located at CERN, is exposed to a charged-particle test beam. This paper gives an overview of the Pandora reconstruction algorithms and how they have been tailored for use at ProtoDUNE-SP. In complex events with numerous cosmic-ray and beam background particles, the simulated reconstruction and identification efficiency for triggered test-beam particles is above 80% for the majority of particle type and beam momentum combinations. Specifically, simulated 1 GeV/cc charged pions and protons are correctly reconstructed and identified with efficiencies of 86.1±0.6\pm0.6% and 84.1±0.6\pm0.6%, respectively. The efficiencies measured for test-beam data are shown to be within 5% of those predicted by the simulation

    Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora

    No full text
    International audienceThe Pandora Software Development Kit and algorithm libraries provide pattern-recognition logic essential to the reconstruction of particle interactions in liquid argon time projection chamber detectors. Pandora is the primary event reconstruction software used at ProtoDUNE-SP, a prototype for the Deep Underground Neutrino Experiment far detector. ProtoDUNE-SP, located at CERN, is exposed to a charged-particle test beam. This paper gives an overview of the Pandora reconstruction algorithms and how they have been tailored for use at ProtoDUNE-SP. In complex events with numerous cosmic-ray and beam background particles, the simulated reconstruction and identification efficiency for triggered test-beam particles is above 80% for the majority of particle type and beam momentum combinations. Specifically, simulated 1 GeV/cc charged pions and protons are correctly reconstructed and identified with efficiencies of 86.1±0.6\pm0.6% and 84.1±0.6\pm0.6%, respectively. The efficiencies measured for test-beam data are shown to be within 5% of those predicted by the simulation

    Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora

    No full text
    International audienceThe Pandora Software Development Kit and algorithm libraries provide pattern-recognition logic essential to the reconstruction of particle interactions in liquid argon time projection chamber detectors. Pandora is the primary event reconstruction software used at ProtoDUNE-SP, a prototype for the Deep Underground Neutrino Experiment far detector. ProtoDUNE-SP, located at CERN, is exposed to a charged-particle test beam. This paper gives an overview of the Pandora reconstruction algorithms and how they have been tailored for use at ProtoDUNE-SP. In complex events with numerous cosmic-ray and beam background particles, the simulated reconstruction and identification efficiency for triggered test-beam particles is above 80% for the majority of particle type and beam momentum combinations. Specifically, simulated 1 GeV/cc charged pions and protons are correctly reconstructed and identified with efficiencies of 86.1±0.6\pm0.6% and 84.1±0.6\pm0.6%, respectively. The efficiencies measured for test-beam data are shown to be within 5% of those predicted by the simulation

    Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora

    No full text
    International audienceThe Pandora Software Development Kit and algorithm libraries provide pattern-recognition logic essential to the reconstruction of particle interactions in liquid argon time projection chamber detectors. Pandora is the primary event reconstruction software used at ProtoDUNE-SP, a prototype for the Deep Underground Neutrino Experiment far detector. ProtoDUNE-SP, located at CERN, is exposed to a charged-particle test beam. This paper gives an overview of the Pandora reconstruction algorithms and how they have been tailored for use at ProtoDUNE-SP. In complex events with numerous cosmic-ray and beam background particles, the simulated reconstruction and identification efficiency for triggered test-beam particles is above 80% for the majority of particle type and beam momentum combinations. Specifically, simulated 1 GeV/cc charged pions and protons are correctly reconstructed and identified with efficiencies of 86.1±0.6\pm0.6% and 84.1±0.6\pm0.6%, respectively. The efficiencies measured for test-beam data are shown to be within 5% of those predicted by the simulation
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