System engineering of medical equipment is a specialist branch of system engineering.The chief objective of its study is to organize the system;to establish target and index system for the complex fac- tors of medical equipment through theory and method of system science,then to conduct foreast,analysis, decision,optimization,control,realization,operation and management etc.It mainly contents involves charac- teristic and aim of medical equipment system;system behavior and modularity;environment adaptation and confort of the humun body;demand and economic analysis;practicability and reliability analyals;system forecast and decision;system optimization and evaluation.

S95-100field mobile medical system is a field mobile hospital composed of such function cells as medical shelters,tents,special vehicles and transportable containers.Several logistic functions of the cells are introduced including patients checking and sorting,surgery,pre-operation preparation,emergency,clinical laboratory,medical supply,X-ray diagnosis,sterilization,medical command and communication,patient holding ward,logistic technical support and connection.The whole system assignments by different modules clipping and transformations,the application tests and widen tryouts in the army are alsopresented.

Objective To develop a new type of respiratory inductive plethysmograph to achieve high signal-noise rate(SNR)and low system power cost,and also to eliminate the cross-talk between chest and abdominal band sensors.Method Either of the two bands was powered by a very high power oscillator in a very short time,and these two bands were switched on in turn.The sensor structure of the respiratory inductive plethysmograph was modified so that these two bands could be embeded in a shirt conveniently.Result With these new designs,the cross-talk between these two bands was greatly eliminated and high SNR and low system power cost were achieved.This new wearable respiration monitoring system is easy to use,and can be used for long time and ambulatory monitoring.Conclusion This new system meets the design requirement with excellent performance.With this new wearable respiration monitoring system,non-invasive measurement of ventilation and non-intrusive detection of sleep apnea event can be achieved.

Objective To research a set of information system to improve the ability of rescue on mobile hospital. Methods The industry server and shelter client were used for establishing the network system of medical information, which used telemedicine in satellite communication, analyzed hardware topology and software demand. The measures of increasing safety and reliability were provided. Results The medical information was transmitted by network to share; the transmitting speed of remote diagnosis was 768Kb/s and dynamic image in 25 frame per second. Conclusion The level of the hospital informationization was improved for designing the IMS in modular thought.

The wearable respiratory inductive plethysmograph(RIP) system is a non-intrusive respiratory monitoring system. Sleep monitoring was performed on 9 human subjects suspected of having sleep apnea hypersomnolence syndrome (SAHS) and 7 healthy volunteers using both the wearable RIP system and the conventional polysomnography(PSG), and the sensitivity and specificity of the wearable RIP system were analyzed by comparison with the PSG results. According to the characteristic of the wearable RIP system in detecting sleep apnea/hypopnea event, the diagnostic criteria of sleep apnea/hypopnea event were put forward. All subjects with SAHS diagnosed by the wearable RIP were confirmed by PSG,the sensitivity and specificity of the wearable RIP system for detecting sleep apnea/hypopnea events were 99.0% and 94.6% respectively. The wearable RIP system can be used reliably in detecting sleep apnea/hypopnea events. This system can be used at home for detecting the sleep apnea/hypopnea events non-intrusively.
Equipment Design ; Humans ; Plethysmography ; instrumentation ; methods ; Polysomnography ; instrumentation ; methods ; Sleep Apnea Syndromes ; diagnosis ; physiopathology

Rosacea is a common chronic inflammatory skin disease whose exact pathogenesis has not been fully elucidated. Metabolomics has been widely used in the field of life science to provide strong evidence for exploring the pathogenesis and biomarkers of diseases. In recent years, researchers have applied metabolomics to rosacea-related fields using sebum, tear, saliva, and serum samples. This review summarizes research progress on current metabolomics methods and the application of metabolomics in rosacea.

Rosacea is a chronic recurrent inflammatory skin disease, and correct assessment of clinical symptoms and severity may facilitate treatment options. This review summarizes a range of subjective, semi-subjective and objective methods currently used in the assessment of rosacea severity, in order to provide useful tools for clinical assessment of rosacea severity and give guidance on treatment modification according to the therapeutic effect.

Background and purpose:With the aging population,the number of elderly patients with colorectal cancer(CRC)is increasing.To date,elderly patients with stage Ⅱ CRC often receive a weakened chemotherapy regimen or even no chemotherapy after radical surgery,and It is still unclear whether this will lead to adverse oncological outcomes.This study aimed to explore the prognostic impact of advanced age on stage Ⅱ CRC patients after removing bias through a multivariate COX regression approach.Methods:We retrospectively collected data of 3314 colorectal cancer patients with postoperative pathology of stage Ⅱ,no history of previous tumors,no secondary primary tumors within 5 years after surgery and no preoperative neoadjuvant therapy.This study was reviewed by the medical ethics committee of Fudan University Shanghai Cancer Center(ethics number:050432-4-2108*).The optimal threshold for calculating age relative to survival using survminer package of R software(version 3.0)(surv_cutpoint algorithm)was 73 years.We compared the clinical and pathological characteristics,overall survival(OS)and disease-free survival(DFS)between the older group(age＞73 years)and the younger group(age≤73 years).The alignment diagram prediction model was drawn using the survival package and RMS package.Results:The elderly and non-elderly groups were evenly comparable in terms of gender,tumor location,differentiation,vascular invasion,perineural invasion and pT stage.Multivariate COX regression showed that advanced age was an independent prognostic risk factor for OS[hazard ratio(HR)=3.725(3.051-4.549),P＜0.001]and DFS[HR=2.431(2.029-2.912),P＜0.001].The nomogram(alignment diagram)prediction model constructed based on multivariate COX regression could effectively evaluate the prognosis of stage Ⅱ CRC patients and provide guidance for practical clinical work.Conclusion:In stage Ⅱ CRC patients,older age is associated with shorter OS and DFS.Adequate intensity of adjuvant chemotherapy may be necessary.Treatment decisions can be adjusted based on the predicted model scores of the patient's alignment diagram.

Background and purpose:According to current consensus,adverse high-risk pathological features are only associated with adjuvant therapy for stage Ⅱ colorectal cancer(CRC).As important prognostic factors,we further explored the possibility of identifying patients with potential recurrence and poor prognosis based on these incorporating high-risk pathological features.Methods:This is a cohort study.A retrospective analysis was conducted on clinical data of CRC patients who underwent surgical treatment at the Second Department of Colorectal Surgery,Fudan University Affiliated Shanghai Cancer Center from 2008 to 2018.This study was approved by the Ethics Committee of the Fudan University Shanghai Cancer Center(approval No.:050432-4-2108*),and the study complies with the Declaration of Helsinki.A total of 9875 patients were enrolled,including 5859 males and 4016 females,aged[M(IQR)]60(16)years(range:16 to 94).Median follow-up time was 1779.0 days[95%CI:1750.1-1807.9].We used the Kaplan-Meier method to plot survival curves for different groups.Cox multivariate analysis was used to identify independent risk factors for 5-year overall survival(OS),disease-free survival(DFS)and recurrence-free survival(RFS).Finally,a column chart model was constructed to evaluate and stratify patient prognosis.The Strengthening the Reporting of Observational Studies in Epidemiology(STROBE)checklist was followed for this cohort study.Results:According to the number of incorporating high-risk pathological features,patients were divided into five groups:Hr_0 group(0 incorporating high-risk pathological feature),Hr_1 group(1 incorporating high-risk pathological feature),Hr_2 group(2 incorporating high-risk pathological features),Hr_3 group(3 incorporating high-risk pathological features),and Hr_4 group(4 or more incorporating high-risk pathological features).The Kaplan-Meier survival curve results indicated significant differences in OS,DFS and RFS among different groups(all P<0.001).Subgroup analysis was conducted on stage Ⅱ colorectal cancer,and the survival curves of OS,DFS and RFS in different Hr groups overlapped with each other.Compared to the overall population,the survival differences in different groups were significantly reduced,indicating that stage Ⅱ colon cancer patients with incorporating high-risk pathological features may benefit from adjuvant chemotherapy.The independent prognostic factors for RFS included age,pT stage,pN stage and Hr group.The survival curves of OS,DFS and RFS indicated that the prognosis of Hr_4 group was significantly worse than that of stage Ⅲc patients;5.2%and 14.1%of stage Ⅰ and Ⅱ patients had two or more incorporating high-risk pathological features(Hr group≥2),respectively.Finally,a column chart model was constructed by incorporating the independent prognostic risk factors for CRC mentioned above.The calibration curve showed a good consistency between the actual observations and the predictions made by the nomogram,and the decision curve analysis(DCA)indicated that the model constructed in this study had good efficacy in stratifying recurrence.Conclusion:The number of incorporating high-risk pathological features is an independent prognostic factor for RFS in patients with stage Ⅰ-ⅢCRC.Combining it as a multiclass variable with age,pT and pN stage has good prognostic stratification and recurrence stratification efficacy,which is expected to guide clinical treatment.

Background and purpose:Currently,for patients with mid-to-low locally advanced rectal cancer and potentially resectable T4bM0 colon cancer,guidelines recommend neoadjuvant therapy strategies to enhance the response rate and increase the likelihood of conversion surgery.Among these patients,ypⅢ stage colorectal cancer(CRC)is assessed using the Union for International Cancer Control(UICC)/American Joint Committee on Cancer(AJCC)TNM staging system for postoperative pathological features.However,neoadjuvant therapy can lead to lymph node regression in the surgical area,resulting in an insufficient number of detected lymph nodes(less than 12),preventing classification according to conventional TNM staging.Thus,TNM staging often fails to predict the prognosis of ypⅢ patients who have undergone neoadjuvant therapy.This study aimed to evaluate the prognostic value of the positive lymph node ratio(LNR)in ypⅢ stage CRC patients treated with neoadjuvant therapy.Methods:Retrospective data was collected from ypⅢ stage CRC patients who received neoadjuvant therapy and underwent radical surgery at Fudan University Shanghai Cancer Center between 2008 and 2018.Collect clinical pathological characteristics such as age,gender,primary tumor location,tumor differentiation grade,pathological staging,and whether the patient has relapsed or died during follow-up at the time of surgery.Inclusion criteria:CRC patients who have received neoadjuvant therapy and surgery and have been confirmed to be stage Ⅲ by postoperative pathological examination.Exclusion criteria:① Preoperative imaging examination or intraoperative exploration reveals distant organ metastasis;② History of malignant tumors in the past;③ Multiple primary CRC.This study was approved by the medical ethics committee of Fudan University Shanghai Cancer Center(ethics number:050432-4-2108*).The R software survminer package(surv_cutpoint algorithm)was used to calculate the optimal cutoff value for LNR relative to disease-free survival(DFS),and patients were divided into low and high LNR groups accordingly.Clinical pathological characteristics and DFS were compared between the two groups.COX proportional hazards regression models were employed to identify adverse pathological features,and survival plots along with prediction models for DFS were generated using the survival and rms packages.Results:A total of 489 patients were included,comprising 289 males and 200 females,with a median age of 56 years(23-80 years)and a median follow-up time of 1 062 d.During the follow-up period,164 patients(33.5%)died.In the entire cohort,204(41.7%)patients had fewer than 12 lymph nodes detected.The optimal cutoff value for LNR was 0.29,classifying 317 patients into the low LNR group(LNR≤0.29)and 172 patients into the high LNR group(LNR＞0.29).The high LNR group exhibited shorter DFS compared to the low LNR group[hazard ratio(HR)=2.103,95%CI:1.582-2.796,P＜0.000 1].Multivariate COX regression indicated that LNR was an independent prognostic factor for DFS(HR=1.825,95%CI:1.391-2.394,P＜0.001).The inclusion of LNR in a multicategory DFS nomogram prediction model effectively assessed DFS in stage Ⅲ CRC patients who had undergone neoadjuvant therapy.Conclusion:LNR is an independent prognostic factor for ypⅢ stage CRC patients,showing good predictive power for DFS when combined with other adverse pathological features.Therefore,incorporating LNR as a supplement to TNM staging can improve the accuracy of CRC prognosis assessment.