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OBJECTIVE: To analyze the clinical characteristics and occurrence of thrombotic/bleeding events of patients with myeloproliferative neoplasm (MPN), and explore the main influencing factors, and create a risk prediction. METHODS: The clinical data of 126 MPN patients with BCR-ABL fusion gene negative in the Department of Hematology of Gansu Provincial Hospital from January 2016 to September 2021 were collected, and their clinical characteristics, occurrence of thrombotic/bleeding events and main influencing factors were analyzed and summarized retrospectively. Then, a risk prediction model for thrombotic/bleeding events in MPN patients was constructed. RESULTS: Among 126 MPN patients, 50 patients (39.7%) had experienced thrombotic/bleeding events, including 44 patients (34.9%) with thrombotic events and 6 patients (4.8%) with bleeding events. Among thrombotic diseases, cerebral thrombosis was the most common (23/44, 52.3%), followed by 9 cases of limb artery thrombosis mainly characterized by finger and toe tip artery ischemia, occlusion and gangrene (9/44, 20.5%). Bleeding events included intracerebral hemorrhage and gastrointestinal hemorrhage. Univariate analysis showed that hypertension, hyperhomocysteinemia, white blood cell (WBC) ≥10×109/L, hematocrit (HCT) ≥49%, platelet (PLT) ≥600×109/L and JAK2V617F gene mutation were risk factors for thrombotic/bleeding events in MPN patients, while CALR gene mutation was a protective factor. Multivariate analysis showed that hypertension and PLT≥600×109/L were independent risk factors for thrombotic/bleeding events in MPN patients. The goodness of fit of the constructed risk prediction model was 0.872, and the area under the ROC curve was 0.838. The model was validated with clinical data, the sensitivity, specificity and accuracy was 78.85%, 87.83% and 84.13%, respectively . CONCLUSION: The risk of thrombotic/bleeding events in MPN patients with high WBC count, hypertension and hyperhomocysteinemia is higher. Controlling hypertension and hyperhomocysteinemia and reducing WBC and PLT counts are helpful to prevent thrombotic/bleeding events and improve the life quality of patients.

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ABSTRACT Neuroleptic malignant syndrome (NMS) is a neurologic emergency potentially fatal. This rare side effect is most commonly associated with first-generation antipsychotics and less frequently with atypical or second-generation antipsychotics. The diagnosis relies on both clinical and laboratory criteria, with other organic and psychiatric conditions being ruled out. CASE REPORT: A 39-year-old female patient, who is institutionalized and completely dependent, has a medical history of recurrent urinary infections and colonization by carbapenem-resistant Klebsiella pneumoniae. Her regular medication regimen included sertraline, valproic acid, quetiapine, risperidone, lorazepam, diazepam, haloperidol, baclofen, and fentanyl. The patient began experiencing dyspnea. Upon physical examination, she exhibited hypotension and a diminished vesicular murmur at the right base during pulmonary auscultation. Initially, after hospitalization, she developed high febrile peaks associated with hemodynamic instability, prompting the initiation of antibiotic treatment. Despite this, her fever persisted without an increase in blood inflammatory parameters, and she developed purulent sputum, necessitating antibiotherapy escalation. The seventh day of hospitalization showed no improvement in symptoms, suggesting NNMS as a differential diagnosis. All antipsychotic and sedative drugs, as well as antibiotherapy, were discontinued, after which the patient showed significant clinical improvement. CONCLUSION: Antipsychotic agents are commonly employed to manage behavioral changes linked to various disorders. However, their severe side effects necessitate a high degree of vigilance, the cessation of all medications, and the implementation of supportive care measures. A prompt and accurate diagnosis of NMS is crucial to alleviating the severe, prolonged morbidity and potential mortality associated with this syndrome.

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Road traffic safety can be ensured by preventing and controlling the potential risks in road traffic operations. The relevant literature was systematically reviewed to identify the research context and status quo in the road traffic operation risk prevention and control field and identify the key study contents needing further research. As research material, the related English and Chinese literature published between 1996 and 2021 (as of 31st December 2021) was obtained through the Web of Science Core Collection and Chinese Science Citation Database. These research materials include 22,403 English and 7876 Chinese papers. Based on the bibliometrics, this study used CiteSpace software to conduct keyword co-occurrence analysis in the field. The results show that the relevant research topics mainly covered the risks of drivers, vehicles, roads, and the traffic environment. In the aspect of driver risks, the studies focused on driving behavior characteristics. In terms of vehicle risks, the related studies were mainly about the vehicle control system, driving assistance system, hazardous material transportation, automated driving technology, safe driving speed, and vehicle collision prediction. For the road risks, the safe driving guarantee of high-risk road sections, driving risks at intersections, and safe road alignment design were the three study hotspots. In terms of traffic environment risks, identifying traffic risk locations and driving safety guarantees under adverse weather conditions were the two main research highlights. Moreover, mathematical modeling was the main method for studying road traffic operation risk. Furthermore, the impact of environmental factors on drivers, the emergency rescue system for road traffic accidents, the connection between automated driving technology and safe driving theory, and the man-machine hybrid traffic flow characteristics are the subjects needing further research.

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BACKGROUND: Estimating the risk of intubation and mortality among COVID-19 patients can help clinicians triage these patients and allocate resources more efficiently. Thus, here we sought to identify the risk factors associated with intubation and intra-hospital mortality in a cohort of COVID-19 patients hospitalized due to hypoxemic acute respiratory failure (ARF). RESULTS: We included retrospectively a total of 187 patients admitted to the subintensive and intensive care units of the University Hospital "Maggiore della Carità" of Novara between March 1st and April 30th, 2020. Based on these patients' demographic characteristics, early clinical and laboratory variables, and quantitative chest computerized tomography (CT) findings, we developed two random forest (RF) models able to predict intubation and intra-hospital mortality. Variables independently associated with intubation were C-reactive protein (p < 0.001), lactate dehydrogenase level (p = 0.018) and white blood cell count (p = 0.026), while variables independently associated with mortality were age (p < 0.001), other cardiovascular diseases (p = 0.029), C-reactive protein (p = 0.002), lactate dehydrogenase level (p = 0.018), and invasive mechanical ventilation (p = 0.001). On quantitative chest CT analysis, ground glass opacity, consolidation, and fibrosis resulted significantly associated with patient intubation and mortality. The major predictors for both models were the ratio between partial pressure of arterial oxygen and fraction of inspired oxygen, age, lactate dehydrogenase, C-reactive protein, glycemia, CT quantitative parameters, lymphocyte count, and symptom onset. CONCLUSIONS: Altogether, our findings confirm previously reported demographic, clinical, hemato-chemical, and radiologic predictors of adverse outcome among COVID-19-associated hypoxemic ARF patients. The two newly developed RF models herein described show an overall good level of accuracy in predicting intra-hospital mortality and intubation in our study population. Thus, their future development and implementation may help not only identify patients at higher risk of deterioration more effectively but also rebalance the disproportion between resources and demand.

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BACKGROUND: Secondary hemophagocytic lymphohistiocytosis (HLH) is a rare hyperinflammatory syndrome that requires prompt diagnosis and appropriate treatment. A risk-stratification model that could be used to identify high-risk pediatric patients with HLH who should be considered for second-line therapies, including salvage regimens and allogeneic hematopoietic cell transplantation (HCT), was developed. METHODS: The medical records of 88 pediatric patients (median age 1.4 years, range 0.2-15 years) with non-malignancy associated secondary HLH were retrospectively reviewed. Treatment strategies included dexamethasone, etoposide, and cyclosporine. RESULTS: Survival analysis showed HLH patients with infections other than Epstein-Barr virus (EBV) and unknown causes experienced better 5-year overall survival (OS) than patients with HLH due to autoimmune disease, EBV or immunodeficiency (76% vs. 65, 33.3, 11%, p < 0.001). On multivariate analysis, among all patients, non-response at 8 weeks was the most powerful predictor of poor OS. When treatment response was excluded, hemoglobin < 60 g/L and albumin < 25 g/L at diagnosis were associated with poor OS. In patients with EBV-HLH, hemoglobin < 60 g/L at diagnosis was associated with poor OS. A prognostic risk score was established and weighted based on hazard ratios calculated for three parameters measured at diagnosis: hemoglobin < 60 g/L (2 points), platelets < 30 × 109/L (1 point), albumin < 25 g/L (2 points). Five-year OS of low-risk (score 0-1), intermediate-risk (score 2), and poor-risk (score ≥ 3) patients were 88, 38, and 22%, respectively (p < 0.001). CONCLUSIONS: These findings indicate that clinicians should be aware of predictive factors at diagnosis and consider 8-week treatment response to identify patients with high-risk of disease progression and the need for second-line therapy and allogeneic HCT.

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BACKGROUND: The role of specific personality traits as factor risks of Alzheimer's disease (AD) has been consistently found, whereas personality traits specifically related to AD (after the diagnosis) have not been outlined yet. OBJECTIVE: A meta-analysis of published studies was performed to determine whether AD patients have a distinctive personality trait profile compared to healthy subjects (HC), similar to or different from a premorbid personality profile consistently reported in previous studies. METHODS: A systematic literature search was performed using PsycInfo (PROQUEST), PubMed, and Scopus. The meta-analysis pooled results from primary studies using Hedges' g unbiased approach. RESULTS: The meta-analysis included 10 primary studies and revealed that, when the personality was evaluated by informant-rated measures, AD patients had significantly higher levels of Neuroticism, lower levels of Openness, Agreeableness, Conscientiousness, and Extraversion than HCs. When the personality was evaluated by self-rated measures, the results obtained from informants were confirmed for Neuroticism, Openness, and Extraversion but not for Agreeableness and Conscientiousness where AD patients and HCs achieved similar scores. CONCLUSIONS: The meta-analysis revealed that high Neuroticism and low Openness and Extraversion are distinctive personality traits significantly associated with a diagnosis of AD when evaluated both self-rated and informant-rated measures. This personality trait profile is similar to premorbid one, which contributes to development of AD over time. Therefore, our findings indirectly support the idea of specific premorbid personality traits as harbingers of AD.

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En este trabajo se presenta un sistema experto (SE) que permite establecer la frecuencia cardiaca máxima en términos de porcentaje de intensidad, la duración de una sesión de entrenamiento y la frecuencia en días por semana. La base del SE es el conocimiento de profesionales en el área de medicina y del deporte, que ayuda a los deportistas con padecimiento de enfermedades o factores de riesgo a tomar mejores decisiones al momento de realizar ejercicio físico. Este sistema se desarrolló en un ambiente web para facilitar la adquisición de los datos por parte de los profesionales, permitiendo así, la incorporación de varios criterios donde la aplicación del algoritmo del SE y de minería de datos proveen a los deportistas resultados con soporte médico. El SE ha sido incorporado a un software que se encarga de monitorizar la frecuencia cardiaca en tiempo real en una disciplina deportiva, donde se evidenció el buen funcionamiento del SE.

This paper presents an expert system (SE) that establishes the maximum heart rate in percentage terms of intensity, duration of a training session and frequency in days per week is presented. The base SE is the knowledge of professionals in the field of medicine and sport that helps athletes suffering from diseases or risk factors make better decisions at the time of exercise. This system was developed in a web environment to facilitate the acquisition of data by professionals, thus allowing the incorporation of several criteria where application of the algorithm SE and mining provide athletes results with medical support. The SE has been incorporated into software that is responsible for monitoring the heart rate in real time in a sport where the proper functioning of the SE was evident.

Este trabalho apresenta um sistema especialista (SE), que estabelece a frequência cardíaca máxima em termos percentuais de intensidade, a duração de uma sessão de treinamento ea freqüência em dias por semana é apresentado. A base de SE é o conhecimento de profissionais no campo da medicina e esporte, que ajuda atletas que sofrem de doenças ou factores de risco a tomar melhores decisões no momento do exercício. Este sistema foi desenvolvido em um ambiente web para facilitar a aquisição de dados por profissionais, permitindo a incorporação de vários critérios, quando a aplicação do algoritmo SE e mineração oferecer aos atletas resultados com apoio médico. A SE foi incorporado no software que é responsável por monitorar o ritmo cardíaco em tempo real em um esporte onde o bom funcionamento da SE foi evidente.

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@#Some factors may induce accidents during physiotherapy for stroke patients. This article would summarize the general risk factors and discuss the management.