Objective To investigate the correlations between acceptance of disability,coping style and depression level in patients with hemiplegia after stroke.Methods A total of 96 patients with hemiplegia after stroke were selected from No.904 Hospital of Joint Logistic Support Force of PLA from May 2019 to June 2022.Acceptance of disability scale-revised(ADS-R),medical coping modes questionnaire(MCMQ)and self-rating depression scale(SDS)were used to investigate disability acceptance,coping style and depression degree in these patients,respectively.Pearson correlation analysis was used to analyze their correlations.Results There were significant differences in ADS-R scores among patients with different numbers of organs with dysfunction,numbness of limbs,ages,and occupations(P<0.05).There were 29 patients with low acceptance of disability,52 patients with moderate acceptance,and 15 patients with high acceptance.The scores of yielding coping,avoidance coping,and SDS in patients with high acceptance of disability were significantly lower than those in patients with low and moderate acceptance of disability(P<0.05),and the scores of yielding coping,avoidance coping,and SDS in patients with moderate acceptance of disability were significantly lower than those in patients with low acceptance(P<0.05).The patients with high acceptance of disability had significantly higher scores of face coping than those with low acceptance and moderate acceptance(P<0.05),and the patients with moderate acceptance had significantly higher scores of face coping than those with low acceptance(P<0.05).Pearson correlation analysis showed that ADS-R score was negatively correlated with yielding coping score,avoidance coping score,and SDS score(P<0.05),while ADS-R score was positively correlated with face coping score(P<0.05).Yielding coping score and avoidance coping score were positively correlated with SDS score(P<0.05),and face coping score was negatively correlated with SDS score(P<0.05).Conclusion The higher the ADS-R score of hemiplegia patients after stroke,the lower the yielding coping score,avoidance coping score and SDS score,and the higher the face coping score.Clinical intervention should be taken to increase ADS-R score and improve patients'coping style and depression degree.

OBJECTIVE: To explore the risk factors of acute respiratory distress syndrome (ARDS) in patients with sepsis and to construct a risk nomogram model. METHODS: The clinical data of 234 sepsis patients admitted to the intensive care unit (ICU) of Tianjin Hospital from January 2019 to May 2022 were retrospectively analyzed. The patients were divided into non-ARDS group (156 cases) and ARDS group (78 cases) according to the presence or absence of ARDS. The gender, age, hypertension, diabetes, coronary heart disease, smoking history, history of alcoholism, temperature, respiratory rate (RR), mean arterial pressure (MAP), pulmonary infection, white blood cell count (WBC), hemoglobin (Hb), platelet count (PLT), prothrombin time (PT), activated partial thromboplastin time (APTT), fibrinogen (FIB), D-dimer, oxygenation index (PaO₂/FiO₂), lactic acid (Lac), procalcitonin (PCT), brain natriuretic peptide (BNP), albumin (ALB), blood urea nitrogen (BUN), serum creatinine (SCr), acute physiology and chronic health evaluation II (APACHE II), sequential organ failure assessment (SOFA) were compared between the two groups. Univariate and multivariate Logistic regression were used to analyze the risk factors of sepsis related ARDS. Based on the screened independent risk factors, a nomogram prediction model was constructed, and Bootstrap method was used for internal verification. The receiver operator characteristic curve (ROC curve) was drawn, and the area under the ROC curve (AUC) was calculated to verify the prediction and accuracy of the model. RESULTS: There were no significant differences in gender, age, hypertension, diabetes, coronary heart disease, smoking history, alcoholism history, temperature, WBC, Hb, PLT, PT, APTT, FIB, PCT, BNP and SCr between the two groups. There were significant differences in RR, MAP, pulmonary infection, D-dimer, PaO₂/FiO₂, Lac, ALB, BUN, APACHE II score and SOFA score (all P < 0.05). Multivariate Logistic regression analysis showed that increased RR, low MAP, pulmonary infection, high Lac and high APACHE II score were independent risk factors for sepsis related ARDS [RR: odds ratio (OR) = 1.167, 95% confidence interval (95%CI) was 1.019-1.336; MAP: OR = 0.962, 95%CI was 0.932-0.994; pulmonary infection: OR = 0.428, 95%CI was 0.189-0.966; Lac: OR = 1.684, 95%CI was 1.036-2.735; APACHE II score: OR = 1.577, 95%CI was 1.202-2.067; all P < 0.05]. Based on the above independent risk factors, a risk nomograph model was established to predict sepsis related ARDS (accuracy was 81.62%, sensitivity was 66.67%, specificity was 89.10%). The predicted values were basically consistent with the measured values, and the AUC was 0.866 (95%CI was 0.819-0.914). CONCLUSIONS Increased RR, low MAP, pulmonary infection, high Lac and high APACHE II score are independent risk factors for sepsis related ARDS. Establishment of a risk nomograph model based on these factors may guide to predict the risk of ARDS in sepsis patients.
Humans ; Retrospective Studies ; Alcoholism ; Prognosis ; Respiratory Distress Syndrome ; Pneumonia ; Sepsis ; Intensive Care Units ; Procalcitonin ; Fibrinogen ; ROC Curve

To explore the law and characteristics of adverse events of medical devices and to provide research methods and basis for reducing the recurrence of similar adverse events, we collect medical devices safety information from five representative countries in the world, and make statistics and analysis on the types of events, the types of management and the causes of events. The results show that among 136 serious adverse events, the top three causes of recall are product design factors, software factors, and component defects. In order to reduce the application risk of medical devices, it is suggested that product designers, operating users and medical institutions should correctly implement the monitoring and evaluation system of medical devices.
Equipment Safety ; Equipment and Supplies/adverse effects* ; Product Surveillance, Postmarketing ; Software

A methodology named immunoscorehas been proposed in recent years.It has been demonstrated to be a prognostic factor superior to the Union for International Cancer Control-American Joint Committee on Cancer (UICC-AJCC)TNMclassification.Over the past few years,it has gained a forefront posi-tion in colorectal cancer.It has the advantages of simple operation,low cost and high accuracy,and it is nee-ded for individual therapy.However,it still has its limitations.