Objective To understand the quality of life of patients with acute mild to moderate ischemic stroke one year after stroke, analyze the factors affecting their quality of life, and provide a scientific basis for improving their health-related quality of life. Methods This study included patients who were diagnosed with acute mild to moderate ischemic stroke between March 2019 and March 2021 in four hospitals in Nanchang. Sociodemographic information and relevant clinical data were collected during hospitalization. The EQ-5D-5L questionnaire was administered to assess health-related quality of life one year after discharge. The Mann-Whitney U test (for two groups) and Kruskal-Wallis one-way ANOVA (for multiple groups) were used to analyze differences in utility scores among various factors. A Tobit regression model was built to investigate the factors influencing quality of life one-year post-stroke. Results A total of 1 181 patients participated in the study, including 791 males (66.98%) and 390 females (33.02%), with an average age of 63.7±10.9 years. Health-related quality of life data collected one year after the stroke revealed that 22.69% of patients experienced pain/discomfort, 17.27% suffered anxiety/depression, 15.66% had mobility issues, 10.33% had difficulties with daily activities, and 8.64% had trouble with self-care. Tobit regression results showed that age (β=−0.263, 95%CI −0.327 to −0.198), gender (β=−0.134, 95%CI −0.189 to −0.080), previous hypertension (β=−0.068, 95%CI −0.120 to −0.016), previous dyslipidemia (β=−0.068, 95%CI −0.126 to −0.011), admission NIHSS score (β=−0.158, 95%CI −0.198 to −0.118), and discharge mRS score (β=−0.193, 95%CI −0.250 to −0.136) were negatively associated with health utility values. Current employment status (β=0.141, 95%CI 0.102 to 0.181) and admission GCS score (β=0.209, 95%CI 0.142 to 0.276) were positively correlated with health utility values. Conclusion One year after an acute mild to moderate ischemic stroke, patients commonly face pain/discomfort and anxiety/depression. Factors affecting overall quality of life include age, sex, current employment status, previous hypertension, previous dyslipidemia, admission NIHSS score, admission GCS score, and discharge mRS score. Clinically, developing scientifically sound and reasonable rehabilitation plans post-discharge is crucial for improving long-term quality of life.
ObjectiveTo analyze the roles of three scoring systems, i.e. Acute Physiology and Chronic Health Evaluation (APACHE) Ⅱ, Ranson’s criteria, and Sequential Organ Failure Assessment (SOFA), in predicting mortality in patients with severe acute pancreatitis (SAP) admitted to intensive care unit (ICU), and explore the independent risk factors for mortality in SAP patients.MethodsThe electronic medical records of SAP patients who admitted to ICU of West China Hospital, Sichuan University between July 2014 and July 2019 were retrospectively analyzed. Data of the first APACHE Ⅱ, Ranson’s criteria, SOFA score, duration of mechanical ventilation, the use of vasoactive drugs and renal replacement therapy, and outcomes were obtained. The receiver operator characteristic (ROC) curve was used to evaluate the value of APACHE Ⅱ score, Ranson’s criteria, and SOFA score in predicting the prognosis of SAP. Logistic regression models were created to analyze the independent effects of factors on mortality.ResultsA total of 290 SAP patients hospitalized in ICU were screened retrospectively, from whom 60 patients were excluded, and 230 patients including 162 males and 68 females aged (51.1±13.7) years were finally included. The ICU mortality of the 230 patients with SAP was 27.8% (64/230), with 166 patients in the survival group and 64 patients in the death group. The areas under ROC curves of APACHE Ⅱ, Ranson’s criteria, APACHE Ⅱ combined with Ranson’s criteria, and SOFA score in predicting mortality in SAP patients admitted to ICU were 0.769, 0.741, 0.802, and 0.625, respectively. The result showed that APACHE Ⅱcombined with Ranson’s criteria was superior to any single scoring system in predicting ICU death of SAP patients. The result of logistic regression analysis showed that APACHE Ⅱ score [odds ratio (OR)=1.841, 95% confidence interval (CI) (1.022, 2.651), P=0.002], Ranson’s criteria [OR=1.542, 95%CI (1.152, 2.053), P=0.004], glycemic lability index [OR=1.321, 95%CI (1.021, 1.862), P=0.008], the use of vasoactive drugs [OR=15.572, 95%CI (6.073, 39.899), P<0.001], and renal replacement therapy [OR=4.463, 95%CI (1.901, 10.512), P=0.001] contributed independently to the risk of mortality.ConclusionsAPACHE Ⅱ combined with Ranson’s criteria is better than SOFA score in the prediction of mortality in SAP patients admitted to ICU. APACHE Ⅱ score, Ranson’s criteria, glycemic lability index, the use of vasoactive drugs and renal replacement therapy contribute independently to the risk of ICU mortality in patients with SAP.
ObjectiveTo explore the factors of affecting the prognosis of pancreatic ductal adenocarcinoma (PDAC) after radical resection based on the preoperative systemic immune-inflammation index (SII) and the controlling nutritional status (CONUT) score and to establish a prognostic prediction model.MethodsThe clinicopathologic data of patients diagnosed with PDAC from January 2014 to December 2019 in the Second Hospital of Lanzhou University were retrospectively analyzed. The X-tile software was used to determine the optimal cut-off value of SII. The Kaplan-Meier method was used to analyze survival. The Cox proportional hazards regression model was used to conduct multivariate analysis of prognostic factors of PDAC after radical surgery. R4.0.5 software was used to draw a nomogram prediction model of 1-, 2-, and 3-year survival rates, then evaluate the effectiveness of the prediction model and establish a web page calculator.ResultsA total of 131 patients were included in the study. The median survival time was 18.6 months, and the cumulative survival rates at 1-, 2-, and 3-year were 73.86%, 36.44%, and 11.95%, respectively. The optimal cut-off value of preoperative SII was 313.1, and the prognosis of patients with SII>313.1 was worse than SII≤313.1 (χ2=8.917, P=0.003). The results of multivariate analysis suggested that the age>65 years old, clinical stage Ⅲ and Ⅳ, preoperative SII>313.1, and CONUT score >4 were the independent factors influencing the prognosis (overall survival) for PDAC after radical resection (P<0.05). The internal verification consistency index (C-index) of the nomogram prediction model including age, clinical stage, preoperative SII, CONUT score and postoperative chemotherapy was 0.669. The survival predicted by the nomogram correction curve fitted well with the observed survival. The decision curve analysis showed that the nomogram prediction model had a wider clinical net benefit (Threshold probability was 0.05–0.95), and the web calculator worked well.ConclusionsAge, clinical stage, preoperative SII, CONUT score are independent influencing factors for prognosis after radical PDAC surgery. Nomogram prediction model included these independent influencing factors is more accurate and web calculator will be more convenient for doctors and patients.
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.
Objective To analyze the relation between the marital status of patients with colorectal cancer and neoadjuvant therapy (NAT) regimen decision-making and outcomes in the current version of the Database from Colorectal Cancer (DACCA). Methods The version of DACCA selected for this analysis was updated on June 29, 2022. The patients were enrolled according to the established screening criteria and then assigned to 5 groups: the unmarried, married, divorced, remarried and widowed groups. The differences in the NAT regimen decision-making and changes of symptom, imaging, and cancer markers in these 5 groups were analyzed. Results A total of 3 053 data that met the screened criteria were enrolled. The results of statistical analysis reflected that the difference in the constituent ratio of patients chosen NAT strategies among 5 groups was obviously statistically significant (χ2=27.944, P=0.004), showing that remarried patients were inclined to adopt combined target drug. No statistical differences were found in changes of symptom (H=5.717, P=0.221), image (H=8.551, P=0.073), and cancer markers (H=11.351, P=0.183) of the 5 groups after NAT. Conclusion Through analysis of DACCA data, it is found that in the selection of NAT strategy for colorectal cancer, more married and remarried patients tended to choose chemotherapy combined target drug regimen.
ObjectiveTo investigate the health status of elderly peptic ulcer patients in Haikou city and its influencing factors. MethodsSeventy-eight elderly peptic ulcer patients treated in the Department of Gastroenterology, Haikou Hospital between February 2012 and December 2014 were chosen to be the observation group, and at the same time, another 78 healthy elderly people examined in the same hospital were designated as the control group. The general information and health status of the study subjects were investigated for correlation analysis. ResultsThe health status, physical function, body pain, life quality and mental health scores in the observation group were significantly lower than those in the control group (P<0.05). Univariate analysis showed that age, smoking, high-salt diet, body mass index (BMI) were significantly associated with the incidence of peptic ulcer (P<0.05). Multivariate logistic regression analysis showed that age, smoking, high-salt diet, BMI were all independent risk factors for peptic ulcer occurrence (P<0.05). ConclusionThe health status of elderly peptic ulcer patients in Haikou city is relatively low. Age, smoking, high-salt diet and BMI are the major independent risk factors for the occurrence of peptic ulcer. We need to actively strengthen symptomatic prevention and intervention.
ObjectiveTo investigate the effects of health education pathway intervention on the mental status and coping capacity in family members of brain injury patients receiving surgery. MethodsOne hundred and eighty-eight family members were randomly divided into control group (n=93) and intervention group (n=95) between September 2013 and October 2014. The control group received conventional health education only, while the intervention group was given health education pathway intervention. The mental status and coping capacity of family members in the two groups on admission and at discharge were surveyed and compared based on symptom checklist 90 (SCL-90) and coping styles questionnaire (CSQ). The hospitalization stay and expenditure and the satisfaction degree were also compared. ResultsThere was no significant differences in mental status and coping capacity in family members between the two groups on admission (P > 0.05). After health education pathway intervention, the positive rate of SCL-90 in the control group was significantly higher than that in the intervention group, and the total score and score for each factor were also obviously higher (P < 0.05). As for coping capacity, the scores of self-blaming, avoidance, fancy and rationalization of CSQ in the control group were significantly higher than those in the intervention group, and the scores of appealing help and resolving problems were obviously lower (P < 0.05). Furthermore, the hospitalization stay and expenditure were significantly shorter or lower in the intervention group than those in the control group, and the satisfaction degree on nursing service was obviously higher (P < 0.05). ConclusionThe health education pathway intervention can greatly improve mental status and coping capacity in family members of brain injury patients.
Objective To study the earthquake emergency response capability and post-earthquake psychological state of students after the Wenchuan earthquake. And also, to investigate the level of earthquake-related knowledge so as to provide basic information for enhancing the emergency response capabilities among college students. Methods We selected 1% Sichuan University students by convenience sample method and conducted the survey in person with a self-designed questionnaire. Results were analyzed with Epidata 3.0 and SPSS13.0 software. Results We distributed 527 questionnaires and 517 (97.27%) valid questionnaires were retrieved. Most college students had a good grasp of earthquake knowledge: 65.4% to 97.7% of the responders gave the correct answers, but only 12.77% said they had ever received earthquake survival training. 15.2% suffered from fear after the earthquake, 59.4% became uneasy, and 25.4% remained calm. Gender, grade, or major were not the factors influencing the psychological state of college students after the earthquake (P= 0.246, 0.216, and 0.406, respectively). Also, earthquake survival training did not influence the psychological state of college students after the earthquake (P=0.090). Psychological intervention after the earthquake was identified as an important factor that affected the psychological state of students (P=0.002). Conclusion College students have a good grasp of the basic knowledge regarding earthquake, but relevant survival training is far from sufficient. Universities should strengthen earthquake survival training, enhance the post-earthquake emergency response capacity of students, and carry out post-disaster psychological intervention directly following an earthquake. There is no significant difference in the mental status among students of different genders, grades, or professional backgrounds.