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1.
Sci Data ; 11(1): 463, 2024 May 07.
Artículo en Inglés | MEDLINE | ID: mdl-38714688

RESUMEN

Adverse perinatal factors can interfere with the normal development of the brain, potentially resulting in long-term effects on the comprehensive development of children. Presently, the understanding of cognitive and neurodevelopmental processes under conditions of adverse perinatal factors is substantially limited. There is a critical need for an open resource that integrates various perinatal factors with the development of the brain and mental health to facilitate a deeper understanding of these developmental trajectories. In this Data Descriptor, we introduce a multicenter database containing information on perinatal factors that can potentially influence children's brain-mind development, namely, periCBD, that combines neuroimaging and behavioural phenotypes with perinatal factors at county/region/central district hospitals. PeriCBD was designed to establish a platform for the investigation of individual differences in brain-mind development associated with perinatal factors among children aged 3-10 years. Ultimately, our goal is to help understand how different adverse perinatal factors specifically impact cognitive development and neurodevelopment. Herein, we provide a systematic overview of the data acquisition/cleaning/quality control/sharing, processes of periCBD.


Asunto(s)
Encéfalo , Desarrollo Infantil , Niño , Preescolar , Humanos , Encéfalo/crecimiento & desarrollo , Encéfalo/diagnóstico por imagen , China , Cognición , Bases de Datos Factuales , Neuroimagen
2.
Sci Rep ; 14(1): 10550, 2024 05 08.
Artículo en Inglés | MEDLINE | ID: mdl-38719836

RESUMEN

To investigate the influence of preoperative smoking history on the survival outcomes and complications in a cohort from a large multicenter database. Many patients who undergo radical cystectomy (RC) have a history of smoking; however, the direct association between preoperative smoking history and survival outcomes and complications in patients with muscle-invasive bladder cancer (MIBC) who undergo robot-assisted radical cystectomy (RARC) remains unexplored. We conducted a retrospective analysis using data from 749 patients in the Korean Robot-Assisted Radical Cystectomy Study Group (KORARC) database, with an average follow-up duration of 30.8 months. The cohort was divided into two groups: smokers (n = 351) and non-smokers (n = 398). Propensity score matching was employed to address differences in sample size and baseline demographics between the two groups (n = 274, each). Comparative analyses included assessments of oncological outcomes and complications. After matching, smoking did not significantly affect the overall complication rate (p = 0.121). Preoperative smoking did not significantly increase the occurrence of complications based on complication type (p = 0.322), nor did it increase the readmission rate (p = 0.076). There were no perioperative death in either group. Furthermore, preoperative smoking history showed no significant impact on overall survival (OS) [hazard ratio (HR) = 0.87, interquartile range (IQR): 0.54-1.42; p = 0.589] and recurrence-free survival (RFS) (HR = 1.12, IQR: 0.83-1.53; p = 0.458) following RARC for MIBC. The extent of preoperative smoking (≤ 10, 10-30, and ≥ 30 pack-years) had no significant influence on OS and RFS in any of the categories (all p > 0.05). Preoperative smoking history did not significantly affect OS, RFS, or complications in patients with MIBC undergoing RARC.


Asunto(s)
Cistectomía , Complicaciones Posoperatorias , Procedimientos Quirúrgicos Robotizados , Fumar , Neoplasias de la Vejiga Urinaria , Humanos , Cistectomía/efectos adversos , Cistectomía/métodos , Masculino , Femenino , Neoplasias de la Vejiga Urinaria/cirugía , Neoplasias de la Vejiga Urinaria/mortalidad , Neoplasias de la Vejiga Urinaria/patología , Procedimientos Quirúrgicos Robotizados/efectos adversos , Procedimientos Quirúrgicos Robotizados/métodos , Anciano , Fumar/efectos adversos , Persona de Mediana Edad , Complicaciones Posoperatorias/epidemiología , Complicaciones Posoperatorias/etiología , Estudios Retrospectivos , Bases de Datos Factuales , Resultado del Tratamiento , República de Corea/epidemiología , Periodo Preoperatorio
3.
Cardiovasc Diabetol ; 23(1): 163, 2024 May 09.
Artículo en Inglés | MEDLINE | ID: mdl-38725059

RESUMEN

BACKGROUND: Sepsis is a severe form of systemic inflammatory response syndrome that is caused by infection. Sepsis is characterized by a marked state of stress, which manifests as nonspecific physiological and metabolic changes in response to the disease. Previous studies have indicated that the stress hyperglycemia ratio (SHR) can serve as a reliable predictor of adverse outcomes in various cardiovascular and cerebrovascular diseases. However, there is limited research on the relationship between the SHR and adverse outcomes in patients with infectious diseases, particularly in critically ill patients with sepsis. Therefore, this study aimed to explore the association between the SHR and adverse outcomes in critically ill patients with sepsis. METHODS: Clinical data from 2312 critically ill patients with sepsis were extracted from the MIMIC-IV (2.2) database. Based on the quartiles of the SHR, the study population was divided into four groups. The primary outcome was 28-day all-cause mortality, and the secondary outcome was in-hospital mortality. The relationship between the SHR and adverse outcomes was explored using restricted cubic splines, Cox proportional hazard regression, and Kaplan‒Meier curves. The predictive ability of the SHR was assessed using the Boruta algorithm, and a prediction model was established using machine learning algorithms. RESULTS: Data from 2312 patients who were diagnosed with sepsis were analyzed. Restricted cubic splines demonstrated a "U-shaped" association between the SHR and survival rate, indicating that an increase in the SHR is related to an increased risk of adverse events. A higher SHR was significantly associated with an increased risk of 28-day mortality and in-hospital mortality in patients with sepsis (HR > 1, P < 0.05) compared to a lower SHR. Boruta feature selection showed that SHR had a higher Z score, and the model built using the rsf algorithm showed the best performance (AUC = 0.8322). CONCLUSION: The SHR exhibited a U-shaped relationship with 28-day all-cause mortality and in-hospital mortality in critically ill patients with sepsis. A high SHR is significantly correlated with an increased risk of adverse events, thus indicating that is a potential predictor of adverse outcomes in patients with sepsis.


Asunto(s)
Biomarcadores , Glucemia , Causas de Muerte , Enfermedad Crítica , Bases de Datos Factuales , Mortalidad Hospitalaria , Hiperglucemia , Aprendizaje Automático , Valor Predictivo de las Pruebas , Sepsis , Humanos , Sepsis/mortalidad , Sepsis/diagnóstico , Sepsis/sangre , Masculino , Femenino , Persona de Mediana Edad , Estudios Retrospectivos , Anciano , Medición de Riesgo , Factores de Tiempo , Factores de Riesgo , Pronóstico , Hiperglucemia/diagnóstico , Hiperglucemia/mortalidad , Hiperglucemia/sangre , Glucemia/metabolismo , Biomarcadores/sangre , Técnicas de Apoyo para la Decisión , China/epidemiología
4.
PLoS One ; 19(5): e0303190, 2024.
Artículo en Inglés | MEDLINE | ID: mdl-38728275

RESUMEN

The aim of this paper is to investigate the re-use of research data deposited in digital data archive in the social sciences. The study examines the quantity, type, and purpose of data downloads by analyzing enriched user log data collected from Swiss data archive. The findings show that quantitative datasets are downloaded increasingly from the digital archive and that downloads focus heavily on a small share of the datasets. The most frequently downloaded datasets are survey datasets collected by research organizations offering possibilities for longitudinal studies. Users typically download only one dataset, but a group of heavy downloaders form a remarkable share of all downloads. The main user group downloading data from the archive are students who use the data in their studies. Furthermore, datasets downloaded for research purposes often, but not always, serve to be used in scholarly publications. Enriched log data from data archives offer an interesting macro level perspective on the use and users of the services and help understanding the increasing role of repositories in the social sciences. The study provides insights into the potential of collecting and using log data for studying and evaluating data archive use.


Asunto(s)
Ciencias Sociales , Humanos , Bases de Datos Factuales , Archivos
5.
Front Public Health ; 12: 1354538, 2024.
Artículo en Inglés | MEDLINE | ID: mdl-38716242

RESUMEN

Background: People are living longer but an increasing number of older people experience chronicity and disability in the latest years of their life. The Marche region is one of the Italian regions where people live the longest lives; therefore, the number of people with age-related chronic diseases is expected to be at least similar, if not higher, compared to the rest of Italy. The identification of the aging trajectories is of huge interest in the arena of public health. Administrative healthcare databases represent valuable reservoirs for reconstructing the trajectories of aging. Here, we present the protocol for a study (TREND project) aimed to integrate existing administrative databases into a Marche regional dataset in order to estimate the prevalence and incidence rates of age-related neurodegenerative diseases (ND), with a specific focus on Parkinsonism and Dementia. Methods: The TREND Project is a retrospective cross-sectional study. The source population includes permanent residents in the Marche region aged 40 years and older. A minimal dataset has been built up linking data on drug prescriptions, outpatient services, and diagnosis for hospital admission, from 2014 to 2021 in the Marche Region. Data on clinical outcomes (re-hospitalization, mortality, comorbidities), and therapeutic approaches (drugs and medicines) have been integrated with state-of-the-art statistical methods to define patients into different risk clusters and to analyze the aging trend by assessing the Comorbidity Index (CI) as a proxy for chronicity. Discussion: Our research contributes to the integration of existing administrative databases on ND to create a Marche regional ND database, support regional health policy, and better understand patients' needs and their aging trajectories. This approach could be implemented also at the National level. Moreover, by linking different administrative data sources, this study sheds light on important issues related to ND, such as early-onset dementia; ethical aspects such as anticipated wills; problems of dementia in patients still in the job market, etc. The results of this study will contribute to the successful implementation of integrated care for patients affected by ND at regional or national levels.


Asunto(s)
Envejecimiento , Bases de Datos Factuales , Enfermedades Neurodegenerativas , Humanos , Italia/epidemiología , Enfermedades Neurodegenerativas/epidemiología , Anciano , Estudios Transversales , Femenino , Persona de Mediana Edad , Estudios Retrospectivos , Enfermedad Crónica/epidemiología , Masculino , Adulto , Anciano de 80 o más Años , Prevalencia , Incidencia , Demencia/epidemiología
6.
Sci Rep ; 14(1): 10744, 2024 05 10.
Artículo en Inglés | MEDLINE | ID: mdl-38730063

RESUMEN

Clinical databases typically include, for each patient, many heterogeneous features, for example blood exams, the clinical history before the onset of the disease, the evolution of the symptoms, the results of imaging exams, and many others. We here propose to exploit a recently developed statistical approach, the Information Imbalance, to compare different subsets of patient features and automatically select the set of features that is maximally informative for a given clinical purpose, especially in minority classes. We adapt the Information Imbalance approach to work in a clinical framework, where patient features are often categorical and are generally available only for a fraction of the patients. We apply this algorithm to a data set of ∼ 1300 patients treated for COVID-19 in Udine hospital before October 2021. Using this approach, we find combinations of features which, if used in combination, are maximally informative of the clinical fate and of the severity of the disease. The optimal number of features, which is determined automatically, turns out to be between 10 and 15. These features can be measured at admission. The approach can be used also if the features are available only for a fraction of the patients, does not require imputation and, importantly, is able to automatically select features with small inter-feature correlation. Clinical insights deriving from this study are also discussed.


Asunto(s)
Algoritmos , COVID-19 , SARS-CoV-2 , Índice de Severidad de la Enfermedad , Humanos , COVID-19/diagnóstico , COVID-19/epidemiología , SARS-CoV-2/aislamiento & purificación , Bases de Datos Factuales , Masculino , Femenino
7.
BMC Cardiovasc Disord ; 24(1): 245, 2024 May 10.
Artículo en Inglés | MEDLINE | ID: mdl-38730371

RESUMEN

BACKGROUND: The 2013 ACC/AHA Guideline was a paradigm shift in lipid management and identified the four statin-benefit groups. Many have studied the guideline's potential impact, but few have investigated its potential long-term impact on MACE. Furthermore, most studies also ignored the confounding effect from the earlier release of generic atorvastatin in Dec 2011. METHODS: To evaluate the potential (long-term) impact of the 2013 ACC/AHA Guideline release in Nov 2013 in the U.S., we investigated the association of the 2013 ACC/AHA Guideline with the trend changes in 5-Year MACE survival and three other statin-related outcomes (statin use, optimal statin use, and statin adherence) while controlling for generic atorvastatin availability using interrupted time series analysis, called the Chow's test. Specifically, we conducted a retrospective study using U.S. nationwide de-identified claims and electronic health records from Optum Labs Database Warehouse (OLDW) to follow the trends of 5-Year MACE survival and statin-related outcomes among four statin-benefit groups that were identified in the 2013 ACC/AHA Guideline. Then, Chow's test was used to discern trend changes between generic atorvastatin availability and guideline potential impact. RESULTS: 197,021 patients were included (ASCVD: 19,060; High-LDL: 33,907; Diabetes: 138,159; High-ASCVD-Risk: 5,895). After the guideline release, the long-term trend (slope) of 5-Year MACE Survival for the Diabetes group improved significantly (P = 0.002). Optimal statin use for the ASCVD group also showed immediate improvement (intercept) and long-term positive changes (slope) after the release (P < 0.001). Statin uses did not have significant trend changes and statin adherence remained unchanged in all statin-benefit groups. Although no other statistically significant trend changes were found, overall positive trend change or no changes were observed after the 2013 ACC/AHA Guideline release. CONCLUSIONS: The 2013 ACA/AHA Guideline release is associated with trend improvements in the long-term MACE Survival for Diabetes group and optimal statin use for ASCVD group. These significant associations might indicate a potential positive long-term impact of the 2013 ACA/AHA Guideline on better health outcomes for primary prevention groups and an immediate potential impact on statin prescribing behaviors in higher-at-risk groups. However, further investigation is required to confirm the causal effect of the 2013 ACA/AHA Guideline.


Asunto(s)
Adhesión a Directriz , Inhibidores de Hidroximetilglutaril-CoA Reductasas , Análisis de Series de Tiempo Interrumpido , Guías de Práctica Clínica como Asunto , Humanos , Inhibidores de Hidroximetilglutaril-CoA Reductasas/uso terapéutico , Inhibidores de Hidroximetilglutaril-CoA Reductasas/efectos adversos , Estados Unidos , Factores de Tiempo , Estudios Retrospectivos , Masculino , Femenino , Anciano , Persona de Mediana Edad , Resultado del Tratamiento , Adhesión a Directriz/normas , Biomarcadores/sangre , Dislipidemias/tratamiento farmacológico , Dislipidemias/sangre , Dislipidemias/diagnóstico , Dislipidemias/mortalidad , Dislipidemias/epidemiología , Atorvastatina/uso terapéutico , Atorvastatina/efectos adversos , Enfermedades Cardiovasculares/mortalidad , Enfermedades Cardiovasculares/prevención & control , Enfermedades Cardiovasculares/sangre , Bases de Datos Factuales , Pautas de la Práctica en Medicina/normas , Colesterol/sangre , Cumplimiento de la Medicación , Medicamentos Genéricos/uso terapéutico , Medicamentos Genéricos/efectos adversos , Medición de Riesgo
8.
Int J Mol Sci ; 25(9)2024 Apr 26.
Artículo en Inglés | MEDLINE | ID: mdl-38731948

RESUMEN

Based on the need for radiobiological databases, in this work, we mined experimental ionizing radiation data of human cells treated with X-rays, γ-rays, carbon ions, protons and α-particles, by manually searching the relevant literature in PubMed from 1980 until 2024. In order to calculate normal and tumor cell survival α and ß coefficients of the linear quadratic (LQ) established model, as well as the initial values of the double-strand breaks (DSBs) in DNA, we used WebPlotDigitizer and Python programming language. We also produced complex DNA damage results through the fast Monte Carlo code MCDS in order to complete any missing data. The calculated α/ß values are in good agreement with those valued reported in the literature, where α shows a relatively good association with linear energy transfer (LET), but not ß. In general, a positive correlation between DSBs and LET was observed as far as the experimental values are concerned. Furthermore, we developed a biophysical prediction model by using machine learning, which showed a good performance for α, while it underscored LET as the most important feature for its prediction. In this study, we designed and developed the novel radiobiological 'RadPhysBio' database for the prediction of irradiated cell survival (α and ß coefficients of the LQ model). The incorporation of machine learning and repair models increases the applicability of our results and the spectrum of potential users.


Asunto(s)
Supervivencia Celular , Roturas del ADN de Doble Cadena , Transferencia Lineal de Energía , Radiación Ionizante , Radiobiología , Humanos , Supervivencia Celular/efectos de la radiación , Radiobiología/métodos , Roturas del ADN de Doble Cadena/efectos de la radiación , Bases de Datos Factuales , Método de Montecarlo
12.
BMJ Open ; 14(5): e082501, 2024 May 07.
Artículo en Inglés | MEDLINE | ID: mdl-38719289

RESUMEN

BACKGROUND: Prosthetic joint infections (PJIs) are a serious negative outcome of arthroplasty with incidence of about 1%. Risk of PJI could depend on local treatment policies and guidelines; no UK-specific risk scoring is currently available. OBJECTIVE: To determine a risk quantification model for the development of PJI using electronic health records. DESIGN: Records in Clinical Practice Research Datalink (CPRD) GOLD and AURUM of patients undergoing hip or knee arthroplasty between January 2007 and December 2014, with linkage to Hospital Episode Statistics and Office of National Statistics, were obtained. Cohorts' characteristics and risk equations through parametric models were developed and compared between the two databases. Pooled cohort risk equations were determined for the UK population and simplified through stepwise selection. RESULTS: After applying the inclusion/exclusion criteria, 174 905 joints (1021 developed PJI) were identified in CPRD AURUM and 48 419 joints (228 developed PJI) in CPRD GOLD. Patients undergoing hip or knee arthroplasty in both databases exhibited different sociodemographic characteristics and medical/drug history. However, the quantification of the impact of such covariates (coefficients of parametric models fitted to the survival curves) on the risk of PJI between the two cohorts was not statistically significant. The log-normal model fitted to the pooled cohorts after stepwise selection had a C-statistic >0.7. CONCLUSIONS: The risk prediction tool developed here could help prevent PJI through identifying modifiable risk factors pre-surgery and identifying the patients most likely to benefit from close monitoring/preventive actions. As derived from the UK population, such tool will help the National Health Service reduce the impact of PJI on its resources and patient lives.


Asunto(s)
Artroplastia de Reemplazo de Cadera , Artroplastia de Reemplazo de Rodilla , Infecciones Relacionadas con Prótesis , Humanos , Infecciones Relacionadas con Prótesis/epidemiología , Masculino , Femenino , Artroplastia de Reemplazo de Rodilla/efectos adversos , Reino Unido/epidemiología , Persona de Mediana Edad , Estudios Retrospectivos , Anciano , Artroplastia de Reemplazo de Cadera/efectos adversos , Factores de Riesgo , Medición de Riesgo/métodos , Bases de Datos Factuales , Registros Electrónicos de Salud , Adulto , Anciano de 80 o más Años
13.
BMC Surg ; 24(1): 151, 2024 May 14.
Artículo en Inglés | MEDLINE | ID: mdl-38745220

RESUMEN

BACKGROUND: Postoperative delirium (POD) is a common complication after major surgery and can cause a variety of adverse effects. However, no large-scale national database was used to assess the occurrence and factors associated with postoperative delirium (POD) following hepatic resection. METHODS: Patients who underwent hepatic resection from 2015 to 2019 were screened using the International Classification of Diseases (ICD) 10th edition clinical modification code from the National Inpatient Sample (NIS) Database. Peri-operative factors associated with delirium were screened and underwent statistical analysis to identify independent predictors for delirium following hepatic resection. RESULTS: A total of 80,070 patients underwent hepatic resection over a five-year period from 2015 to 2019. The overall occurrence of POD after hepatic resection was 1.46% (1039 cases), with a slight upward trend every year. The incidence of elective admission was 6.66% lower (88.60% vs. 81.94%) than that of patients without POD after hepatic resection and 2.34% (45.53% vs. 43.19%) higher than that of patients without POD in teaching hospitals (P < 0.001). In addition, POD patients were 6 years older (67 vs. 61 years) and comprised 9.27% (56.69% vs. 47.42%) more male patients (P < 0.001) compared to the unaffected population. In addition, the occurrence of POD was associated with longer hospitalization duration (13 vs. 5 days; P < 0.001), higher total cost ($1,481,89 vs. $683,90; P < 0.001), and higher in-hospital mortality (12.61% vs. 4.11%; P < 0.001). Multivariate logistic regression identified hepatic resection-independent risk factors for POD, including non-elective hospital admission, teaching hospital, older age, male sex, depression, fluid and electrolyte disorders, coagulopathy, other neurological disorders, psychoses, and weight loss. In addition, the POD after hepatic resection has been associated with sepsis, dementia, urinary retention, gastrointestinal complications, acute renal failure, pneumonia, continuous invasive mechanical ventilation, blood transfusion, respiratory failure, and wound dehiscence / non-healing. CONCLUSION: Although the occurrence of POD after hepatic resection is relatively low, it is beneficial to investigate factors predisposing to POD to allow optimal care management and improve the outcomes of this patient population.


Asunto(s)
Bases de Datos Factuales , Delirio , Hepatectomía , Complicaciones Posoperatorias , Humanos , Masculino , Femenino , Persona de Mediana Edad , Factores de Riesgo , Hepatectomía/efectos adversos , Anciano , Estudios Retrospectivos , Complicaciones Posoperatorias/epidemiología , Complicaciones Posoperatorias/etiología , Incidencia , Delirio/epidemiología , Delirio/etiología , Estados Unidos/epidemiología , Adulto
14.
BMC Res Notes ; 17(1): 135, 2024 May 14.
Artículo en Inglés | MEDLINE | ID: mdl-38745223

RESUMEN

OBJECTIVES: Due to the limitations of Twitter, the expansion of Telegram channels, and the Telegram API's easy use, Telegram comments have become prevalent. Telegram is one of the most popular social networks, unlike Twitter, which has no restrictions on sending messages, and experts can share their opinions and media. Some of these channels, managed by influencers of large companies, are very influential in the behavior of the market on various stocks, including cryptocurrencies. In this research, the opinion collection of 10 famous Telegram channels regarding the analysis of cryptocurrencies has been extracted. The sentiments of these opinions have been analyzed using the HDRB model. HDRB is a hybrid model of RoBERTa deep neural network, BiGRU, and attention layer used for sentiment analysis (SA). Analyzing the sentiments of these opinions is very important for understanding the future behavior of the market and managing the stock portfolio. The opinions of this dataset, published by experts in the field of cryptocurrencies, are precious, unlike the opinions that are extracted only by using the hashtag of the names of cryptocurrencies. On the other hand, the dataset related to cryptocurrencies, which has the opinions of experts and the polarity of their feelings, is very rare. DATA DESCRIPTION: The dataset of this research is the sentiments of more than ten popular Telegram channels regarding a wide range of cryptocurrencies. These comments were collected through the Telegram API from December 2023 to March 2024. This data set contains an Excel file containing the text of the comments, the date of comment creation, the number of views, the compound score, the sentiment score, and the type of sentiment polarity. These opinions cover influencer analysis on a wide range of cryptocurrencies. Also, two Word files, one containing the description of the dataset columns and the other Python code for extracting comments from Telegram channels, are included in this dataset.


Asunto(s)
Medios de Comunicación Sociales , Humanos , Bases de Datos Factuales
15.
Pharmacoepidemiol Drug Saf ; 33(5): e5813, 2024 May.
Artículo en Inglés | MEDLINE | ID: mdl-38720425

RESUMEN

Direct oral anticoagulants (DOACs) revolutionized the management of thromboembolic disorders. Clinical care may be further improved as Factor XIs undergo large-scale outcome trials. What role can non-randomized database studies play in expediting understanding of these drugs in clinical practice? The RCT-DUPLICATIVE Initiative emulated the design of eight DOAC randomized clinical trials (RCT) using non-randomized claims database studies. RCT study design parameters and measurements were closely emulated by the database studies and produced highly concordant results. The results of the single database study that did not meet all agreement metrics with the specific RCT it was emulating were aligned with a meta-analysis of six trials studying similar questions, suggesting the trial result was an outlier. Well-designed database studies using fit-for-purpose data came to the same conclusions as DOAC trials, illustrating how database studies could complement RCTs for Factor XI inhibitors-by accelerating insights in underrepresented populations, demonstrating effectiveness and safety in clinical practice, and testing broader indications.


Asunto(s)
Anticoagulantes , Bases de Datos Factuales , Factor XI , Ensayos Clínicos Controlados Aleatorios como Asunto , Humanos , Administración Oral , Anticoagulantes/administración & dosificación , Anticoagulantes/uso terapéutico , Anticoagulantes/efectos adversos , Factor XI/antagonistas & inhibidores , Tromboembolia/prevención & control , Tromboembolia/tratamiento farmacológico , Proyectos de Investigación
16.
Cien Saude Colet ; 29(5): e06412023, 2024 May.
Artículo en Inglés | MEDLINE | ID: mdl-38747768

RESUMEN

This article aims to present growth curves for height, weight, and BMI of 95,000 Brazilian youths aged 6 to 17 years, including the five regions of the country, the Amazon region, and indigenous populations, and compare them with the World Health Organization (WHO) growth references. The final sample consisted of 52,729 boys and 42,731 girls from the "Projeto Esporte Brasil" database. Body mass and height information were used to derive the curves. The generalized additive model for location, scale, and shape was employed. In this study, we present smoothed weight-for-age, height-for-age, and BMI-for-age curves for boys and girls. Differences were observed between the results of the Brazilian curves and the WHO growth references. The developed curves will be valuable for professionals in medicine, public health, nutrition, physical education, and other related fields, regarding the assessment of physical growth in Brazilian children and adolescents and monitoring the nutritional status of this population. Additionally, these curves will facilitate the identification of individuals or subgroups at risk of diseases and delayed growth, with a greater focus on specific country-related factors.


Asunto(s)
Estatura , Índice de Masa Corporal , Peso Corporal , Gráficos de Crecimiento , Humanos , Brasil , Adolescente , Niño , Masculino , Femenino , Organización Mundial de la Salud , Estado Nutricional , Valores de Referencia , Factores de Edad , Bases de Datos Factuales
17.
Lupus Sci Med ; 11(1)2024 May 13.
Artículo en Inglés | MEDLINE | ID: mdl-38744457

RESUMEN

OBJECTIVES: To estimate the incidence and prevalence of SLE in Italy, and to describe the demographic and clinical characteristics of patients with newly diagnosed SLE. METHODS: A retrospective cohort study was conducted using The Health Improvement Network general practice database in Italy, encompassing data from 634 753 people. SLE cases were identified over the period 2017-2022, employing three alternative definitions to provide a more detailed understanding of SLE characteristics. Incidence rates were expressed as cases per 100 000 person-years and prevalence as cases per 100 000 people. Demographic and clinical characteristics of incident SLE cases were also studied. RESULTS: From 2017 to 2022, a total of 191 incident and 1385 prevalent cases were identified under our first definition. In 2022, the incidence rate was 6.51 cases (95% CI 6.29 to 6.74) per 100 000 person-years, and the prevalence 60.57 (95% CI 59.89 to 61.25) per 100 000 people, being the prevalence five times higher in women compared with men. Both estimates have trended upwards since 2017. A geographical variation across the country was also seen. The demographic and clinical characteristics of incident SLE cases were described, while the potential associations of SLE incidence with some pre-existing conditions were observed, such as chronic kidney disease, chronic hepatic disease, rheumatoid arthritis and Sjogren's syndrome. CONCLUSIONS: The results of this nationwide study, the first conducted in Italy, showed that the incidence of SLE has increased in Italy in recent years. Age, sex, and area of residence strongly correlate with the epidemiology of this condition.


Asunto(s)
Bases de Datos Factuales , Lupus Eritematoso Sistémico , Atención Primaria de Salud , Humanos , Italia/epidemiología , Masculino , Femenino , Estudios Retrospectivos , Adulto , Persona de Mediana Edad , Lupus Eritematoso Sistémico/epidemiología , Incidencia , Prevalencia , Atención Primaria de Salud/estadística & datos numéricos , Anciano , Adulto Joven , Adolescente
18.
Sci Data ; 11(1): 494, 2024 May 14.
Artículo en Inglés | MEDLINE | ID: mdl-38744868

RESUMEN

The standard of care for brain tumors is maximal safe surgical resection. Neuronavigation augments the surgeon's ability to achieve this but loses validity as surgery progresses due to brain shift. Moreover, gliomas are often indistinguishable from surrounding healthy brain tissue. Intraoperative magnetic resonance imaging (iMRI) and ultrasound (iUS) help visualize the tumor and brain shift. iUS is faster and easier to incorporate into surgical workflows but offers a lower contrast between tumorous and healthy tissues than iMRI. With the success of data-hungry Artificial Intelligence algorithms in medical image analysis, the benefits of sharing well-curated data cannot be overstated. To this end, we provide the largest publicly available MRI and iUS database of surgically treated brain tumors, including gliomas (n = 92), metastases (n = 11), and others (n = 11). This collection contains 369 preoperative MRI series, 320 3D iUS series, 301 iMRI series, and 356 segmentations collected from 114 consecutive patients at a single institution. This database is expected to help brain shift and image analysis research and neurosurgical training in interpreting iUS and iMRI.


Asunto(s)
Neoplasias Encefálicas , Bases de Datos Factuales , Imagen por Resonancia Magnética , Imagen Multimodal , Humanos , Neoplasias Encefálicas/diagnóstico por imagen , Neoplasias Encefálicas/cirugía , Encéfalo/diagnóstico por imagen , Encéfalo/cirugía , Glioma/diagnóstico por imagen , Glioma/cirugía , Ultrasonografía , Neuronavegación/métodos
19.
PLoS One ; 19(5): e0303493, 2024.
Artículo en Inglés | MEDLINE | ID: mdl-38739628

RESUMEN

PURPOSE: The coronavirus disease 2019 (COVID-19) pandemic exhibited several different waves threatening global health care. During this pandemic, medical resources were depleted. However, the kind of medical resources provided to each wave was not clarified. This study aimed to examine the characteristics of medical care provision at COVID-19 peaks in preparation for the next pandemic. METHODS: Using medical insurance claim records in Japan, we examined the presence or absence of COVID-19 infection and the use of medical resources for all patients monthly by age group. RESULTS: The wave around August 2021 with the Delta strain had the strongest impact on the working population in terms of hospital admission and respiratory support. For healthcare providers, this peak had the highest frequency of severely ill patients. In the subsequent wave, although the number of patients with COVID-19 remained high, they were predominantly older adults, with relatively fewer patients receiving intensive care. CONCLUSIONS: In future pandemics, we should refer to the wave around August 2021 as a situation of medical resource shortage resulting from the COVID-19 pandemic.


Asunto(s)
COVID-19 , Bases de Datos Factuales , Seguro de Salud , Humanos , COVID-19/epidemiología , Japón/epidemiología , Adulto , Persona de Mediana Edad , Anciano , Masculino , Femenino , SARS-CoV-2/aislamiento & purificación , Recursos en Salud , Pandemias , Hospitalización/estadística & datos numéricos , Adulto Joven , Adolescente , Revisión de Utilización de Seguros
20.
BMC Health Serv Res ; 24(1): 622, 2024 May 14.
Artículo en Inglés | MEDLINE | ID: mdl-38741088

RESUMEN

IMPORTANCE: A quarter of all 30-day readmissions involve fragmented care, where patients return to a different hospital than their original admission; these readmissions are associated with increased in-hospital mortality and longer lengths-of-stay (LOS). The stress on healthcare systems at the beginning of the COVID-19 pandemic could worsen care fragmentation and related outcomes. OBJECTIVE: To compare fragmented readmissions in 2020 versus 2018-2019 and assess whether mortality and LOS in fragmented readmissions differed in the two time periods. DESIGN: Observational study SETTING: National Readmissions Database (NRD), 2018-2020 PARTICIPANTS: All adults (> 18 y/o) with 30-day readmissions MAIN OUTCOMES AND MEASURES: We examined the percentage of fragmented readmissions over 2018-2020. Using unadjusted and adjusted logistic and linear regressions, we estimated the associations between fragmented readmissions and in-hospital mortality and LOS. RESULTS: 24.0-25.7% of readmissions in 2018-2020 and 27.3%-31.0% of readmissions for COVID-19 were fragmented. 2018-2019 fragmented readmissions were associated with 18-20% higher odds of in-hospital mortality compared to nonfragmented readmissions. Fragmented readmissions for COVID-19 were associated with an 18% increase in in-hospital mortality (AOR 1.18, 95% CI 1.12, 1.24). The LOS of fragmented readmissions in March-November 2018-2019 were on average 0.81 days longer, while fragmented readmissions between March-November of 2020 were associated with a 0.88-1.03 day longer LOS. CONCLUSIONS AND RELEVANCE: A key limitation is that the NRD does not contain information on several patient/hospital-level factors that may be associated with the outcomes of interest. We observed increased fragmentation during COVID-19, but its impact on in-hospital mortality and LOS remained consistent with previous years.


Asunto(s)
COVID-19 , Bases de Datos Factuales , Mortalidad Hospitalaria , Tiempo de Internación , Readmisión del Paciente , Humanos , COVID-19/mortalidad , COVID-19/epidemiología , Readmisión del Paciente/estadística & datos numéricos , Tiempo de Internación/estadística & datos numéricos , Masculino , Mortalidad Hospitalaria/tendencias , Femenino , Persona de Mediana Edad , Anciano , Estados Unidos/epidemiología , Adulto , SARS-CoV-2 , Pandemias , Anciano de 80 o más Años
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