Objective Based on the PSQ-18 scale, to evaluate the effects of disease classification early warning system (DCEWS) on operation quality of health examination center (HEC). Methods By means of the comparable and retrospective cohort study methods, using “PSQ-18” of American Rand Corporation as a tool, taking the date when HEC implemented DCEWS as node, and adopting statistic software for random sampling, it was divided into two groups: the traditional group (before implementing DCEWS, n=475) and the early warning group (after implementing DCEWS, n=473). The PSQ-18 scale scores of both groups were analyzed so as to assess the effects of DCEWS on HEC. Results Such factors as sex, age, education level and family average monthly income had certain effects on the score of PSQ-18, but there was no significant difference between the two groups (Pgt;0.05); in the following 4 dimensions as the ways of interpersonal communication, degree of doctor-patient communication, convenience degree and the overall satisfaction of patients, the PSQ-18 scores of the traditional group and the early warning group were 4.0±0.92/4.2±0.97, 3.8±0.94/4.0±0.96, 4.4±0.60/4.6±0.6, 4.2±0.87/4.4±0.94, respectively, with significant differences (all Plt;0.05). Conclusion The implementation of “Disease classification early waning system” can significantly increase the “patient satisfaction” of health examinees, and can significantly improve the operation quality of health examination center.
ObjectiveTo provide some basic data for studies in the future on the prevention of medical disputes by exploring its patterns and reasons. MethodsFifty-five processed medical disputes cases accepted between 2012 and 2014 were retrospectively analyzed for their patterns and causes. ResultsThe number of males in the medical disputes was higher than that of females (male: 60.0%, female: 40.0%), and patients at the age of 40-70 also led in the disputes (aged 40-50: 20.0%, aged 50-60: 18.2%; aged 60-70: 20.0%). There were more medical disputes in the department of cardiology (20.0%), orthopedics (16.4%), otolaryngology (12.7%), and gynecology (10.9%). ConclusionThere are differences in gender and age of the patients as well as departments in terms of medical disputes. We should try to discover the regular patterns of these disputes. Besides those existing medical indexes, we should establish other warning systems through psychological and sociological status of medical staff and patients for reducing medical disputes, which can surely help the administration of medical quality intervention on medical disputes.
ObjectivesTo compare the efficacy of acute physiology and chronic health evaluationⅡ (APACHEⅡ), national early warning score (NEWS), pulmonary embolism severity index (PESI) and Charlson comorbidity index (CCI) on pulmonary embolism (PE) prognosis.MethodsClinical data of patients with PE treated in The Second Xiangya Hospital of Central South University from 2010 to 2017 were retrospectively analyzed. They were divided into death group and survival group, and four clinical scores were calculated. The differences of risk factors between the two groups were compared. Logistic regression analysis was used to obtain the independent risk factors related to mortality. The ROC working curve was used to compare the capability of four clinical scores for PE mortality. SPSS 24.0 and Medcalc 18.2.1 software were used for statistical analysis. ResultsA total of 318 patients with PE were included, and the mortality rate was 13.2%. The APACHEⅡ, NEWS, PESI and CCI of the death group were higher than those of the survival group. There were significant differences between two groups (P<0.05). It was confirmed by logistic regression analysis that cerebrovascular disease, heart rate, leukocyte, troponin T, arterial partial pressure of oxygen, right ventricular dysfunction (RVD) were independent risk factors for 90-day mortality. The areas under the ROC curve of APACHEⅡ, CCI, PESI, NEWS were 0.886, 0.728, 0.715 and 0.731, respectively. The area under the ROC curve of APACHEⅡ was the largest, which was better than NEWS, CCI and PESI (P<0.05), and there was no significant difference among NEWS, CCI and PESI.ConclusionsAPACHEⅡ may be the best predictor of mortality in PE patients, which is superior to NEWS, CCI and PESI.
Breast cancer is a malignant tumor with the highest morbidity and mortality in female in recent years, and it is a complex disease that affects human health. Studies have shown that dynamic network biomarkers (DNB) can effectively identify critical states at which complex diseases such as breast cancer change from a normal state to a disease state. However, the traditional DNB method requires data from multiple samples in the same disease state, which is usually unachievable in clinical diagnosis. This paper quantitatively analyzes the time series data of MCF-7 breast cancer cells and finds the DNB module of a single sample in the time series based on landscape DNB (L-DNB) method. Then, a comprehensive index is constructed to detect its early warning signals to determine the critical state of breast cancer cell differentiation. The results of this study may be of great significance for the prevention and early diagnosis of breast cancer. It is expected that this paper can provide references for the related research of breast cancer.
Objective To explore the correlations between nutritional markers and pressure injury (PI) in elderly patients with chronic obstructive pulmonary disease (COPD). Methods Retrospective analysis was conducted on elderly patients with COPD and PI who were admitted to the geriatric department of West China Hospital of Sichuan University or Dujiangyan People’s Hospital between January 2020 and December 2021. The blood biochemical indicators mainly including nutritional markers were collected, and their correlations with PI risk factor index Braden score and PI severity index PI stage were analyzed. Results A total of 293 patients with COPD and PI were included. Among the five Braden score groups, the differences in the levels of albumin and prealbumin were statistically significant (P<0.05), and the Braden score was positively correlated with albumin (rs=0.241, P<0.001), prealbumin (rs=0.179, P=0.002), and hemoglobin (rs=0.199, P=0.001). Among the six PI stage groups, the differences in the levels of albumin, globulin, red blood cell count, serum sodium, blood chloride and C-reactive protein were statistically significant (P<0.05), and the PI stage was negatively correlated with albumin (rs=−0.192, P=0.001), and positively correlated with serum sodium (rs=0.139, P<0.001), blood chloride (rs=0.184, P<0.001), and C-reactive protein (rs=0.177, P=0.020). Conclusion When PI risk assessment and severity assessment are performed on elderly COPD patients, it is necessary to pay more attention to nutritional markers and assess whether the patients are at risk of protein malnutrition, which will help to improve the accuracy of PI risk assessment and severity prediction, and effectively improve the efficacy of PI prevention and treatment.
ObjectiveTo explore the current situation of financial toxicity (FT) of breast cancer patients undergoing daytime chemotherapy under the background of diagnosis intervention packet (DIP) and its influencing factors, and to build a risk early warning model.Methods Convenient sampling method was used to select breast cancer patients undergoing chemotherapy in the daytime ward of Tianjin Medical University Cancer Institute & Hospital between April and May 2022. The general data questionnaire and FT comprehensive score scale were used to investigate them, and the influencing factors of patients’ FT were discussed through single factor analysis and logistic regression analysis, and the risk early warning model was established. Hosmer-Lemeshow fitting effect test was used to evaluate the prediction effect of the model.Results A total of 278 patients were included. The median (lower quartile, upper quartile) of FT score was 14.00 (8.75, 23.00), of which 195 patients (70.14%) had FT score≤22; 83 patients (29.86%) had FT scores>22. Logistic regression analysis showed that age, per capita monthly income of families, commercial health insurance, chemotherapy cycle, tumor stage, neoadjuvant chemotherapy were the influencing factors for high-risk FT of breast cancer patients undergoing daytime chemotherapy. The results of Hosmer-Lemeshow goodness of fit test showed that the model-predicted FT of breast cancer patients undergoing daytime chemotherapy was in good agreement with the actual observation value (χ2=10.685, P=0.220). The area under the curve of the model was 0.931 [95% confidence interval (0.900, 0.962)], the sensitivity was 0.807, and the specificity was 0.913.Conclusions The FT of breast cancer patients undergoing daytime chemotherapy is at a high level. Older age, purchase of commercial health insurance, and high per capita monthly income of families are protective factors for high-risk FT. The wind with chemotherapy cycle≤4 weeks, tumor stage Ⅱ, neoadjuvant chemotherapy are high-risk FT risk factors. The final warning model has been tested to have a good prediction effect, which can provide a reference for clinical medical staff to identify high-risk FT patients early and make preventive strategies as soon as possible.
Objective To explore the application value of metagenomic next-generation sequencing (mNGS) based on human sequencing in the clinical early diagnosis of lung cancer. Methods Four patients hospitalized with suspected lung infection were retrospectively analyzed, and the test results of bronchoalveolar lavage fluid (BALF) on mNGS of tumor metagenome, the routine clinical test results, and their clinical diagnosis and treatment information in between August 26, 2021, and December 18, 2021. Results Patient 1 was preliminarily diagnosed with lung cancer by referring to chest computed tomography (CT) imaging. Chest radiograph or CT in the other three patients showed bilateral lung CT and lamellar hyperintensities (patient 2), bilateral lung mass-like and lamellar hyperintensities (patient 3), and lung masses (patient 4), respectively. BALF samples from all 4 patients were detected with mNGS based on human tumor sequences, indicating tumor. In addition, the result in patient 3 also indicated white pseudofilamentous yeast infection consistent with clinical culture, and the result in patient 4 also showed infection of rhinovirus type A. Conclusion The second generation genome sequencing technology based on human sequence can not only assist clinical diagnosis of infection, but also provide detection datUM support for tumor early warning.
Objective To provide some theoretical reference and practical guidance for the medical risk management and early warning of private medical institutions, and to improve the service level and social reputation of private medical institutions. Methods China National Knowledge Infrastructure, Wanfang, VIP, and Web of Science database were searched for literature on medical risk management of private medical institutions published from the dates of establishment of databases to July 31, 2023. CiteSpace software was used for analysis. The aspects of literature number, literature source, author-institution cooperation, keyword co-occurrence, keyword clustering and burst were analyzed. Results A total of 2 635 literature were detected. Among them, there were 1446 articles in Chinese and 1189 articles in English. Although domestic research started late, it covered a wide range of disciplines and research fields. The Chinese literature showed a growth trend in the medium term, but the growth trend was slower than that of foreign literature. At the same time, the cooperation network of foreign authors and institutions was closer than that of domestic ones, and the overall development was relatively insufficient. There were differences between domestic and foreign research hotspots in terms of disciplines and research contents. Conclusions It is necessary to strengthen the theoretical and practical research on medical risk management of private medical institutions, and accelerate the construction of risk management and early warning models suitable for the characteristics of private medical institutions in China. In the future, the emerging research fields such as moral hazard, emergency and internal control need to be deepened and expanded.