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1.
Chinese Critical Care Medicine ; (12): 632-635, 2020.
Article in Chinese | WPRIM | ID: wpr-866862

ABSTRACT

Blast injury is the main cause of injury in the battlefield, which also occurs frequently in the civil field and modern society. The damage caused by blast is more complicated than other types of trauma. Primary blast injury is a common type of blast injury, which can cause multiple organ damage with complex mechanism. Tissue and vascular endothelium damage and organ hypoperfusion are the consistent manifestations of most organ damage. However, due to the concealed damage caused by the primary blast injury, it is difficult to recognize it in time. The study of coagulation function and acid-base balance change after primary blast injury can bring benefits to its early diagnosis and intervention, thus improving the prognosis and mortality of blast injury. However, at present, the research on primary blast injury mostly focuses on single organ damage. Lack of research on systemic coagulation and acid-base balance changes calls for further research. Such research has a practical significance for the early diagnosis and optimization of tactical care for primary blast injury. This article reviews the injury characteristics, epidemiology, mechanism and the relationship with trauma-induced coagulopathy (TIC) in primary blast injury to provide reference for related researches.

2.
Chinese Critical Care Medicine ; (12): 225-227, 2019.
Article in Chinese | WPRIM | ID: wpr-744702

ABSTRACT

On?the?premise?of?fully?studying?the?disaster?medical?rescue?monitoring?mechanism?in?emergencies?at?home?and?abroad,?the?functional?requirements?of?the?domestic?disaster?medical?rescue?monitoring?system?was?analyzed?in?this?paper,?the?logical?framework?and?data?structure?of?disaster?medical?rescue?monitoring?system?with?privacy?protection?mechanism?was?designed?by?department?of?emergency?in?Chinese?PLA?General?Hospital,?department?of?information?management?in?School?of?Economics?and?Management?of?Beijing?Jiaotong?University,?the?School?of?Information?Management?of?Nanjing?University.?Three?major?functional?modules?were?realized?in?the?system:?reporter?information?management,?disaster?medical?rescue?data?upload,?and?disaster?medical?rescue?data?search.?Android?client?and?Web?client?were?developed?for?easy?access?to?the?system.?The?system?also?had?the?function?of?privacy?protection.?Based?on?symmetric?searchable?encryption?algorithm,?the?system?realized?the?encryption?storage?of?untrusted?servers?and?ensured?the?security?of?medical?and?health?data.?It?is?beneficial?for?the?further?development?and?improvement?of?disaster?medical?rescue?data?collection?in?China.

3.
Article in Chinese | WPRIM | ID: wpr-744665

ABSTRACT

Medical big data is a hot research topic in China,and it is also the main research direction in the field of emergency medicine.The current situation of the construction of the first-aid big data platform and the construction of the first-aid clinical decision support system were analyzed,the problems existing in the development of the first-aid big data research field were enumerated,to explore the theoretical methods for promoting the development of domestic first-aid big data,so as to provide references for the research in related fields.

4.
Article in Chinese | WPRIM | ID: wpr-774137

ABSTRACT

The analysis of big data in medical field cannot be isolated from the high quality clinical database, and the construction of first aid database in our country is still in the early stage of exploration. This paper introduces the idea and key technology of the construction of multi-parameter first aid database. By combining emergency business flow with information flow, an emergency data integration model was designed with reference to the architecture of the Medical Information Mart for Intensive Care III (MIMIC-III), created by Computational Physiology Laboratory of Massachusetts Institute of Technology (MIT), and a high-quality first-aid database was built. The database currently covers 22 941 medical records for 19 814 different patients from May 2015 to October 2017, including relatively complete information on physiology, biochemistry, treatment, examination, nursing, etc. And based on the database, the first First-Aid Big Data Datathon event, which 13 teams from all over the country participated in, was launched. The First-Aid database provides a reference for the construction and application of clinical database in China. And it could provide powerful data support for scientific research, clinical decision making and the improvement of medical quality, which will further promote secondary analysis of clinical data in our country.


Subject(s)
Big Data , Critical Care , Databases, Factual , Humans , Medical Informatics
5.
Chinese Critical Care Medicine ; (12): 359-362, 2019.
Article in Chinese | WPRIM | ID: wpr-753970

ABSTRACT

Objective To propose a method of prediction for fatal gastrointestinal bleeding recurrence in hospital and a method of feature selection via machine learning models. Methods 728 digestive tract hemorrhage samples were extracted from the first aid database of PLA General Hospital, and 343 patients among them were diagnosed as fatal gastrointestinal bleeding recurrence in hospital. A total of 64 physiological or laboratory indicators were extracted and screened. Based on the ten-fold cross-validation, Logistic regression, AdaBoost and XGBoost were used for classification prediction and comparison. XGBoost was used to search sequence features, and the key indicators for predicting fatal gastrointestinal bleeding recurrence in hospital were screened out according to the importance of the indicators during training. Results Logistic regression, AdaBoost and XGBoost all get better F1.5 score under each feature input dimension, among which XGBoost had the best effect and the highest score, which was able to identify as many patients as possible who might have fatal gastrointestinal bleeding recurrence in hospital. Through XGBoost iteration results, the Top 30 indicators with high importance for predicting fatal gastrointestinal bleeding recurrence in hospital were ranked. The F1.5 scores of the first 12 key indicators peaked at iteration (0.893), including hemoglobin (Hb), calcium (CA), red blood cell count (RBC), mean platelet volume (MPV), mean erythrocyte hemoglobin concentration (MCH), systolic blood pressure (SBP), platelet count (PLT), magnesium (MG), lymphocyte (LYM), glucose (GLU, blood gas analysis), glucose (GLU, blood biochemistry) and diastolic blood pressure (DBP). Conclusions Logistic regression, AdaBoost and XGBoost could achieve the purpose of early warning for predicting fatal gastrointestinal bleeding recurrence in hospital, and XGBoost is the most suitable. The 12 most important indicators were screened out by sequential forward selection.

6.
Article in Chinese | WPRIM | ID: wpr-743201

ABSTRACT

Objective To analyze the correlation between acute coronary syndrome (ACS) and stress differentiation factors (GDF-15), catecholamines, and heat shock proteins (HSP-70). Methods A total of 40 patients with ACS were selected from the Emergency Department of the PLA General Hospital from September 10, 2016 to October 10, 2016. 40 healthy volunteers were selected as the control group. The information of age, gender, history of smoking, drinking, hyperlipidemia, hypertension and diabetes. Inspection indicators of blood biochemistry (Creation kinase Isoenzyme, Total cholesterol, Triglyceride, High-density lipoprotein, Blood glucose, Total bilirubin, Direct bilirubin), serum level of GDF-15, catecholamine (Adrenaline,norepinephrine,dopamine)and HSP-70 were collected. Evaluation of Coronary Stenosis used with Coronary Artery Lesions and Gensini Score. Statistical analysis using SPSS 17.0 statistical software, measurement data are expressed as mean ± standard deviation (x±s),count data to the number of cases and percentage, measurement using t test, count data using chisquare test. Results Serum levels of GDF-15[(21.94±14.23) vs. (7.06±5.53), P=0.007],catecholami ne[(46592.15±30931.27) vs. (5507.14±2083.28), P<0.01], HSP-70 [(369.56±300.44) vs. (07.76±54.23),P<0.001],all higher than the control group. GDF-15 serum levels of Gensini scores> 40 compare with <20group was significantly higher [(324.27 ± 198.81) vs. (77.43 ± 699.22), P=0.035], serum catecholaminelevels of > 40 group compare with <20 group significantly increased [(18.71 ± 7.32) vs. (18.6±46.1),P=0.017], GDF-15 levels were significantly higher in the multi-vessel stenosis group than in the doublevessel stenosis group[ (618.40±434.42) vs. (292.07±219.65), P=0.033]. Conclusions GDF-15,catecholamine and HSP-70 are correlated with ACS, as well as the severity of coronary artery lesions.

7.
Chinese Critical Care Medicine ; (12): 609-612, 2018.
Article in Chinese | WPRIM | ID: wpr-703700

ABSTRACT

Objective To construct a database containing multiple kinds of diseases that can provide "real world"data for first-aid clinical research. Methods Structured or non-structured information from hospital information system, laboratory information system, emergency medical system, emergency nursing system and bedside monitoring instruments of patients who visited department of emergency in PLA General Hospital from January 2014 to January 2018 were extracted. Database was created by forms, code writing, and data process. Results Emergency Rescue Database is a single center database established by PLA General Hospital. The information was collected from the patients who had visited the emergency department in PLA General Hospital since January 2014 to January 2018. The database included 530 585 patients' information of triage and 22 941 patients' information of treatment in critical rescue room, including information related to human demography, triage, medical records, vital signs, lab tests, image and biological examinations and so on. There were 12 tables (PATIENTS, TRIAGE_PATIENTS, EMG_PATIENTS_VISIT, VITAL_SIGNS, CHARTEVENTS, MEDICAL_ORDER, MEDICAL_RECORD, NURSING_RECORD, LAB_TEST_MASTER, LAB_RESULT, MEDICAL_EXAMINATION, EMG_INOUT_RECORD) that containing different kinds of patients' information. Conclusions The setup of high quality emergency databases lay solid ground for scientific researches based on data. The model of constructing Emergency Rescue Database could be the reference for other medical institutions to build multiple-diseases databases.

8.
Chinese Critical Care Medicine ; (12): 606-608, 2018.
Article in Chinese | WPRIM | ID: wpr-703699

ABSTRACT

Medical practice generates and stores immense amounts of clinical process data, while integrating and utilization of these data requires interdisciplinary cooperation together with novel models and methods to further promote applications of medical big data and research of artificial intelligence. A "Datathon" model is a novel event of data analysis and is typically organized as intense, short-duration, competitions in which participants with various knowledge and skills cooperate to address clinical questions based on "real world" data. This article introduces the origin of Datathon, organization of the events and relevant practice. The Datathon approach provides innovative solutions to promote cross-disciplinary collaboration and new methods for conducting research of big data in healthcare. It also offers insight into teaming up multi-expertise experts to investigate relevant clinical questions and further accelerate the application of medical big data.

9.
Chinese Critical Care Medicine ; (12): 603-605, 2018.
Article in Chinese | WPRIM | ID: wpr-703698

ABSTRACT

A detailed, high-scale clinical data can be generated in the process of diagnosis and treatment of emergency critically ill patients. The integration and analysis and utilization of these data are of great value for improving the treatment level and efficiency and developing the data-driven clinical assistant decision support. China has large volume of health information resources, however, the construction of healthcare databases and subsequent secondary analysis has just started. With the effort of the Chinese PLA General Hospital in building an emergency database and promoting data sharing, the first emergency database was published in China and a health Datathon was organized utilizing this database, providing experience for clinical data integration, database construction, cross-disciplinary collaboration and data sharing. Referring to the development at home and abroad, this review discussed work in this area and further proposed establishing a big data cooperation for emergency medicine and building a learning healthcare system to integrate more clinical resources and form a closed loop of "clinical database construction-analysis-applications", and enhance the effectiveness of medical big data in reducing medical costs and improving healthcare delivery.

10.
Chinese Critical Care Medicine ; (12): 531-537, 2018.
Article in Chinese | WPRIM | ID: wpr-703684

ABSTRACT

Objective To study the distribution of diseases in Medical Information Mart for Intensive Care Ⅲ(MIMIC-Ⅲ) database in order to provide reference for clinicians and engineers who use MIMIC-Ⅲ database to solve clinical research problems. Methods The exploratory data analysis technologies were used to explore the distribution characteristics of diseases and emergencies of patients (excluding newborns) in MIMIC-Ⅲ database were explored; then, neonatal gestational age, weight, length of hospital stay in intensive care unit (ICU) were analyzed with the same method. Results In the MIMIC-Ⅲ database, 46 428 patients were admitted for the first time, and 49 214 ICU records were recorded. There were 26 076 males and 20 352 females; the median age was 60.5 (38.6, 75.6) years, and most patients were between 60 and 80 years old. The first diagnosis in the disease spectrum analysis was firstly ranked by circulatory diseases (32%), followed by injury and poisoning (14%), digestive system disease (8%), tumor (7%), respiratory disease (6%) and so on. Patients with ischemic heart disease accounted for the largest proportion of circulatory disease (42%), the proportion of these patients gradually increased with age of 60-70 years old, then decreased. However, the proportion of patients with cerebrovascular disease declined first and then increased with age, which was the main cause of death of circulatory system disease (ICU mortality was 22.5%). Injury and poisoning patients showed a significant decrease with age. Digestive system diseases were younger than the general population (most people aged between 50 to 60 years), and non-infectious enteritis and colitis were the main causes of death (ICU mortality was 18.3%). Respiratory infections were predominant in infected patients (34%), but circulatory system infections were the main cause of death (ICU mortality was 25.6%). Secondly, in the neonatal care unit, premature infants accounted for the vast majority (82%). As the gestational age increased, the duration of ICU was decreased, and the mortality was decreased. Conclusions The diseases distribution of patients can be provided by MIMIC-Ⅲ database, which helps to grasp the overview of the volume and age distribution of the target patients in advance, and carry out the next step of research. Meanwhile, it points out the important role of exploratory data analysis in electronic health records analysis.

11.
Chinese Critical Care Medicine ; (12): 526-530, 2018.
Article in Chinese | WPRIM | ID: wpr-703683

ABSTRACT

Objective The detailed analysis of the surveillance in post extreme emergencies and disasters (SPEED) provides practical reference for China to establish a disaster medical rescue information monitoring system with Chinese characteristics. Methods The SPEED system under the scene of disaster medical rescue information monitoring is analyzed in detail. The SPEED system design, work flows, system implementation and other aspects are analyzed and summarized in this paper, and suggests the enlightenment of SPEED system for Chinese disaster medical rescue information monitoring work. Results The SPEED system is an information monitoring system for the early stages of disasters. It provides monitoring for diseases caused by disasters, and life and health trends. It has a complete data collection mechanism, a comprehensive personnel training system, a complete system function, and an implementation strategy involving multi-layer, multi-region, and multi -sector. It is a powerful tool for disaster medical rescue and management personnel to obtain information in time. In the field of disaster medical rescue, a similar public-facing information monitoring system in China is still not perfect. Conclusion Learning the design flows and establishment mode of the SPEED system can provide reference for China to establish a disaster medical rescue information monitoring system with Chinese characteristics.

12.
Chinese Critical Care Medicine ; (12): 494-496, 2018.
Article in Chinese | WPRIM | ID: wpr-703680

ABSTRACT

To introduce Medical Information Mart for Intensive Care (MIMIC) database and elaborate the approach of critically emergent research with big data based on the feature of MIMIC and updated studies both domestic and overseas, we put forward the feasibility and necessity of introducing medical big data to research in emergency. Then we discuss the role of MIMIC database in emergency clinical study, as well as the principles and key notes of experimental design and implementation under the medical big data circumstance. The implementation of MIMIC database in emergency medical research provides a brand new field for the early diagnosis, risk warning and prognosis of critical illness, however there are also limitations. To meet the era of big data, emergency medical database which is in accordance with our national condition is needed, which will provide new energy to the development of emergency medicine.

13.
Chinese Critical Care Medicine ; (12): 1190-1195, 2018.
Article in Chinese | WPRIM | ID: wpr-733981

ABSTRACT

Objective To explore a method of screening the core indicators in the emergency database that can be used to evaluate the in-hospital fatal gastrointestinal rebleeding by using the big data algorithm. Methods Based on the emergency database of the Chinese PLA General Hospital, through the big data retrieval technology, all the 647 patients diagnosed as gastrointestinal bleeding in the emergency database were enrolled, except those who were admitted to the hospital for the first time and whose hemoglobin (Hb) was less than 90 g/L or did not undergo Hb test. Among them, there were 313 in the rebleeding group (fatal rebleeding in the hospital) and 334 in the non-rebleeding group (no fatal rebleeding in the hospital). General data of patients were collected, including gender, age, physical signs, blood gas, test index collection data, and the identification of gastrointestinal rebleeding. The fusion algorithm of rough set algorithm, genetic algorithm, and cellular automaton algorithm were used to calculate the key indicators that affect gastrointestinal rebleeding. Results A total of 499 indicators were calculated by machine fusion algorithm, after screening 5 times repeatedly, 24 key indicators were screened out, 3 of which were vital signs, including systolic blood pressure (SBP), diastolic blood pressure (DBP), temperature (T); 7 key indicators of blood routine, including white blood cell count (WBC), eosinophil (EOS), monocyte (MONO), Hb, hematocrit (HCT), red cell distribution width (RDW), mean corpuscular hemoglobin (MCH); 3 key indicators of coagulation, including prothrombin time (PT), plasma fibrinogen (FIB), activated partial thromboplastin time (APTT); 5 key indicators of biochemical, including myoglobin (MYO), chloride, glucose (GLU), serum albumin (ALB), total bilirubin (TBil); and 6 key indicators of blood gas, including pH, lactate (Lac), oxygen saturation (SO2), base excess (BE), bicarbonate (HCO3-), partial pressure of carbon dioxide (PaCO2). Conclusions Using big data technology, 24 core indicators for evaluating the fatal gastrointestinal rebleeding in hospitals can be screened out from the emergency database, providing new ideas and methods for clinical diagnosis of the disease.

14.
Chinese Critical Care Medicine ; (12): 150-155, 2017.
Article in Chinese | WPRIM | ID: wpr-510330

ABSTRACT

Objective To explore the effect of toll-like receptor 4 (TLR4), myeloid differentiation protein-2 (MD2), and stromal interaction molecular 1 (STIM1) for regulating human vascular endothelial calcium overload injury and inflammatory reaction induced by bacterial endotoxin (LPS).Methods Human umbilical vein endothelial cells (HUVECs) were cultured in Dulbecco's modification of Eagle's medium (DMEM). ① The levels of TLR4, MD2 and nuclear factor-κB (NF-κB) were detected by reverse transcriotion-polymerase chain reaction (RT-PCR) before and 0.5, 1, 6, 12, 24 hours after LPS stimulation. ② Intracellular calcium peak level was detected by confocal following probe fluo-3 AM loading in HUVEC cells induced with LPS and transfected by psiSTIM or psiTLR. ③ MD2, STIM1 or NF-κB protein level was detected by immunoprecipitation (IP) and immuno-blotting in HUVEC cells which were transfected by TLR4 inhibited expression (psiTLR) for 12 hours and followed by LPS stimulation for 6 hours. ④ HUVEC cells were randomly divided into 6 groups: control group, LPS group, PDTC 0.1 mg/L group, PDTC 1 mg/L group, psiTLR 1 h group and psiTLR 12 h group. Tumor necrosis factor-α (TNF-α) and interleukin-6 (IL-6) were detected by enzyme linked immunosorbent assay (ELISA) in supernatant. The mRNA levels of STIM1 and NF-κB were detected by RT-PCR.Results ① The mRNA levels of TLR4, MD2, and NF-κB gradually increased after LPS induction and peaked at 6 hours (2-ΔΔCt: 23.52±2.88, 17.43±3.43, 18.13±2.99, respectively), which were statistically significant before the stimulation with LPS (2-ΔΔCt: 7.02±2.81, 5.19±3.22, 8.11±1.42, allP < 0.05). ② Extracellular calcium influx in LPS group was increased significantly higher than control group (nmol/L: 108.13±22.33 vs. 41.57±13.19, P < 0.01). Extracellular calcium influx in psiSTIM+LPS group (nmol/L: 62.61±14.12 vs. 108.13±22.33,P < 0.05) and psiTLR+LPS group (nmol/L: 50.78±8.05 vs. 109.43±20.21,P < 0.01) were both suppressed as compared with LPS group. While extracellular calcium peak level in psiTLR+psiSTIM+LPS group further decreased (nmol/L: 39.31±6.42 vs. 109.43±20.21,P < 0.01). ③ MD2 protein but not STIM1 or NF-κB can be detected in anti-TLR4 precipitates in control (ctrl-) by immunoprecipitation. MD2 protein level increased in anti-TLR4 precipitates in LPS group (ctrl+) and was suppressed in TLR4 inhibiting group (psiTLR). ④ The levels of TNF-α in PDTC 1mg/L group were significantly lower than those of LPS group (ng/L: 0.60±0.24 vs. 1.77±0.66,P < 0.01). The levels of IL-6 in PDTC 0.1 mg/L, 1 mg/L group and psiTLR 12 h group decreased significantly lower than that of LPS group (ng/L: 232.10±63.54, 134.32±37.23, 284.23±56.14 vs. 510.22±89.23, allP < 0.05). Compared to LPS group, the mRNA levels of NF-κB and STIM1 were obviously inhibited in PDTC1 mg/L group and psiTLR 12 h group [NF-κB mRNA (2-ΔΔCt): 17.22±2.35, 13.24±3.54 vs. 30.16±2.06; STIM1 mRNA (2-ΔΔCt): 12.57±2.43, 12.21±2.46 vs. 25.12±2.02, allP < 0.05]. Conclusions TLR4, MD2, NF-κB signal and SOC calcium channel STIM1 mediate LPS induced-calcium influx and inflammatory mediators level in HUVEC cells. Extracellular calcium overload and inflammatory response by endotoxin induction can be effectively inhibited by down-regulation of TLR4, NF-κB and/or STIM1.

15.
Article in Chinese | WPRIM | ID: wpr-497721

ABSTRACT

Objective To review computed tomographic angiography (CTA) signs and its potential use in the diagnose of blunt thoracic aortic injury Methods We reviewed 37 cases with blunt thoracic aortic injury (TAI) confirmed by surgery or aortography in Chinese PLA General Hospital emergency department from June 2004 to June 2014.CTA were performed on these patients,and CTA images were analyzed retrospectively to obtain characteristic CTA signs of blunt thoracic aortic injury.Results Of the 37 cases,the blunt injury in aortic isthmus were 83.8% (31/37),aortic arch 5.4% (2/37),descending aorta 8.1% (3/37),and ascending aorta 2.7% (1/37),respectively.CTA signs of thoracic aortic injury manifested as intimal flap in 34 patients (91.8%),abnormal aortic contour or cavity in 37 cases (100%),arterial contraction in 17 cases (45.9%),aortic dissection in 10 cases (27.0%),pseudoaneurysm in 21 cases (56.7%),thrombosis in 1 case (2.7%).Conclusions CTA signs could be used to facilitate the diagnosis of blunt thoracic aortic injury with a qualitative diagnostic value.

16.
Chinese Critical Care Medicine ; (12): 543-546, 2016.
Article in Chinese | WPRIM | ID: wpr-493316

ABSTRACT

Objective To demonstrate the effect of tumor necrosis factor-α induced protein 8 like-2 (TIPE2) expression in patients with acute respiratory distress syndrome (ARDS) and its mechanism. Methods A prospective observation was conducted. Thirty-nine patients with ARDS admitted to department of emergency of PLA General Hospital from July 2013 to July 2015 were enrolled, and 35 healthy persons served as control group. The acute physiology and chronic health evaluation Ⅱ (APACHE Ⅱ) score within 24 hours after admission, blood gas analysis, procalcitonin (PCT), and C-reactive protein (CRP) were recorded. The mRNA expressions of TIPE2 in peripheral blood mononuclear cell (PBMC) and myxoma resistance protein 1 (MX1) in plasma were determined by real-time quantitative reverse transcription-polymerase chain reaction (RT-PCR). The correlations were analyzed by Spearman rank correlation analysis. Results The mean of APACHE Ⅱ score in 39 patients with ARDS was 25±3, the mean of PCT was (1.85±0.41) μg/L, and the mean of CRP was (18.0±3.0) mg/L. The TIPE2 mRNA expression in PBMC of ARDS patients was significantly down-regulated as compared with that of healthy control group (2-ΔΔCt: 3.28±0.15 vs. 8.87±0.20, P 0.05). The MX1 mRNA expression was positively correlated with APACHE Ⅱ score (r = 0.893, P 0.05). Conclusion TIPE2 expression was decreased in ARDS patients, which negatively correlate with disease severity, and indicate TIPE2 might be involved in the pathogenic process of ARDS.

17.
Military Medical Sciences ; (12): 67-69, 2016.
Article in Chinese | WPRIM | ID: wpr-491788

ABSTRACT

Medical care on the battlefield is the core and basis of echelons of care.This review summarizes the background and characteristics of medical care units on the battlefield from the birth and growth of mobile army surgical hospitals before being replaced by forward surgical teams and combat support hospitals, since the United States Armed Forces began to lead the world military revolution during and after the World WarⅡ.Quick adaptation to the combat envi-ronment and the combat modes is the main reason that medical care units on the battlefield are adjusted continuously.This paper may provide some ideas for the development of our medical care units on the battlefield in the future.

18.
Article in Chinese | WPRIM | ID: wpr-490861

ABSTRACT

Objective To study the correlation between time of fever onset in the course of patients'illness and etiologies of fever of unknown origin (FUO).Methods A total of 1 570 patients with FUO admitted from January 2013 to December 2014 were retrospectively analyzed, and clinical data ( sex, age, time of fever onset) of 348 patients meeting FUO diagnosis criteria with definite etiology diagnosis and time of fever onset were collected for multivariate logistic regression analysis after bias check.Results No statistically significant bias was found between 348 selected cases and 1 570 overall cases in gender (χ2 =0.029, P=0.903) and age (t=-1.040, P=0.299), and multivariate logistic regression analysis showed positive correlation between fever onset during 13: 00-18: 00 and infection (P=0.044, B=1.275), 18:00-24: 00 and connective tissue diseases ( P =0.029, B =0.838 ) , and showed negative correlation between age and miscellaneous (P =0.010, B =-0.042).Conclusions Characteristics of fever onset time may have significant value in preliminary diagnosis and guiding the correct direction of final definite diagnosis by means of targeted examinations or diagnostic treatments.It is worth to be further studied and discussed.

19.
Article in Chinese | WPRIM | ID: wpr-355255

ABSTRACT

Extra-nodal malignant lymphoma is often characterized by a lack of typical symptoms and positive results of auxiliary examinations, which make diagnosis difficult. In some cases, fever can be the only clinical manifestation. For the lymphoma patients presenting with persistent fever with a duration over 3 weeks, characteristics of fever including time of fever attack, fever type and effects of drugs may have significant value in the diagnosis, especially in the early stage of the disease or in rare cases.


Subject(s)
Fever of Unknown Origin , Humans , Lymphoma , Diagnosis , Muscles , Pathology
20.
Chinese Critical Care Medicine ; (12): 905-909, 2014.
Article in Chinese | WPRIM | ID: wpr-458504

ABSTRACT

Objective To determine the expression spectrum of microRNA(miRNA)in the lung homogenate of rats with chronic obstructive pulmonary disease(COPD)or healthy rats,to look for differentially expressed miRNA, and to explore their potential role in pathogenesis of COPD. Methods Twenty male Sprague-Dawley(SD)rats were randomly divided into normal control group and COPD model group,with 10 rats in each group. COPD rat models were reproduced by smoke inhalation as well as intratracheal instillation of lipopolysaccharide(LPS). The samples of the lung were harvested,and the histopathological examination of the right lung was carried out to evaluate the degree of lung injury. Total RNAs were isolated from the left lung. The miRNA expressions in lung tissue of rats with COPD or normal rats were determined by miRNA chip eichnology to screen the miRNA with differential expression, and hierarchical clustering analysis was made. The data were analyzed to study the expression difference of miRNAs between the two groups,and to construct the miRNA-Target network. Results Compared with normal control group, 20 miRNA with increased expression were found in COPD model group,the top 10 were miR-30c-2,miR-199a-5p, miR-30a, miR-145, miR-151, miR-674-5p, miR-214, miR-423, miR-28 and miR-181b, and only miR-376b-3p showed down-regulation. Hierarchical clustering analysis showed that significant differences in individual miRNA in lung tissue between rats of two groups were found. However,similar samples could not be gathered well,thus it may give rise to inconsistency during the sample preparation. Many miRNAs had multiple target genes in miRNA-Target network, such as miR-30c-2, miR-145, miR-181b, miR-181a, miR-181d, miR-199. Conclusions The study reveals that there is a variance of miRNAs expression profile in lung homogenates between COPD group and the normal control group of rats,and many miRNAs have multiple target genes,such as miR-30c-2,miR-145,miR-181b,miR-181a,miR-181d,and miR-199. Therefore,the results may be valuable to centain extent for the interpretation of COPD pathogenesis.

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