Objective To screen the independent influencing factors for gastrointestinal bleeding(GIB)in hospitalized patients with coronary heart disease(CHD)and to construct and validate a no-mogram prediction model.Methods A total of 440 CHD patients who developed GIB during hospi-talization were selected as GIB group,and another 320 CHD patients hospitalized in the department of cardiovascular medicine were randomly selected as non-GIB group.The clinical data of the two groups were analyzed and compared.Multivariate logistic regression analysis was used to screen the indepen-dentinfluencing factors for GIB.Based on these factors,a nomogram prediction model for the risk of GIB in hospitalized CHD patients was constructed.The entire dataset was randomly divided into train-ing set(n=532)and validation set(n=228)in a 7∶3 ratio.The performance of the nomogram model was evaluated using the receiver operating characteristic(ROC)curve,calibration curve,and decision curve analysis(DCA).Results Multivariate logistic regression analysis showed that body mass index(BMI),history of digestive system diseases,CHD classification,albumin,white blood cell count,monocyte-to-lymphocyte ratio(MLR),and low-density lipoprotein were all independent influencing factors for GIB in CHD patients(P＜0.05).ROC curve analysis indicated that the nomo-gram model(excluding low-density lipoprotein)constructed based on independent influencing factors exhibited good discrimination in both the training set(area under the curve:0.839,95％CI,0.805 to 0.873)and the validation set(area under the curve:0.810,95％CI,0.751 to 0.868).Calibration curve analysis demonstrated good consistency between the predicted probabilities and the observed incidence of GIB in hospitalized CHD patients in both the training and validation sets.DCA results revealed that the nomogram model had a good clinical net benefit.Conclusion The nomogram model constructed based on independent influencing factors has good predictive performance for the risk of GIB in hospitalized CHD patients and can provide a basis for clinicians to promptly identify GIB and adjust medication regimens.

Objective:To conduct a scope review on the application of ICU diaries in critically ill patients, laying the foundation for further exploration and construction of ICU diary patterns and frameworks that were in line with the national conditions and tailored to different regions and cultural backgrounds.Methods:The Joanna Briggs Institute Reviewer′s Manual was used as the methodological framework, and a computer search was conducted in nine domestic and international databases, including China National Knowledge Infrastructure, Wanfang Database, China Biomedical Literature Database, Cochrane Library, PubMed, and Embase, etc. The search period was from the inception of the databases until March 13, 2023. The included literature was screened, summarized, and analyzed.Results:A total of 19 articles were included. ICU diaries were commonly recorded using a combination of text and visuals, with the involvement of both healthcare professionals and family members. Most patients received ICU diaries approximately one month after their transfer from the ICU. Out of the 15 studies, ICU diaries were found to be effective, while 4 studies indicated no significant improvement in patients′ psychological issues. However, ICU diaries were still considered acceptable by patients and their families.Conclusions:The application of ICU diaries has shown positive significance in critically ill patients, but further research and exploration are needed to investigate its impact on issues such as post-traumatic stress disorder, anxiety, depression, and quality of life. In the future, a combination of multiple forms and high-quality research designs with large samples, long periods, and structured approaches should be employed to explore its application effects and long-term outcomes on psychological problems.

Objective: Primary spinal cord glioblastoma (PSCGBM) is a rare malignancy with a poor prognosis. To date, no prognostic nomogram for this rare disease was established. Hence, we aimed to develop a nomogram to predict overall survival (OS) of PSCGBM. Methods: Clinical data of patients with PSCGBM was retrospectively collected from the neurosurgery department of Soochow University Affiliated Second Hospital and the Surveillance Epidemiology and End Results database. Information including age, sex, race, tumor extension, extent of resection, adjuvant treatment, marital status, income, year of diagnosis and months from diagnosis to treatment were recorded. Univariate and multivariate Cox regression analyses were used to identify independent prognostic factors for PSCGBM. A nomogram was constructed to predict 1-year, 1.5-year, and 2-year OS of PSCGBM. Results: A total of 132 patients were included. The 1-year, 1.5-year, and 2-year OS were 45.5%, 29.5%, and 18.9%, respectively. Four variables: age groups, tumor extension, extent of resection, and adjuvant therapy, were identified as independent prognostic factors. The nomogram showed robust discrimination with a C-index value for the prediction of 1-year OS, 1.5-year OS, and 2-year of 0.71 (95% confidence interval [CI], 0.61–0.70), 0.72 (95% CI, 0.62–0.70), and 0.70 (95% CI, 0.61–0.70), respectively. The calibration curves exhibited high consistencies between the predicted and observed survival probability in this cohort. Conclusion We have developed and internally validated a nomogram for predicting the survival outcome of PSCGBM for the first time. The nomogram has the potential to assist clinicians in making individualized predictions of survival outcome of PSCGBM.

Objective: Primary spinal cord glioblastoma (PSCGBM) is a rare malignancy with a poor prognosis. To date, no prognostic nomogram for this rare disease was established. Hence, we aimed to develop a nomogram to predict overall survival (OS) of PSCGBM. Methods: Clinical data of patients with PSCGBM was retrospectively collected from the neurosurgery department of Soochow University Affiliated Second Hospital and the Surveillance Epidemiology and End Results database. Information including age, sex, race, tumor extension, extent of resection, adjuvant treatment, marital status, income, year of diagnosis and months from diagnosis to treatment were recorded. Univariate and multivariate Cox regression analyses were used to identify independent prognostic factors for PSCGBM. A nomogram was constructed to predict 1-year, 1.5-year, and 2-year OS of PSCGBM. Results: A total of 132 patients were included. The 1-year, 1.5-year, and 2-year OS were 45.5%, 29.5%, and 18.9%, respectively. Four variables: age groups, tumor extension, extent of resection, and adjuvant therapy, were identified as independent prognostic factors. The nomogram showed robust discrimination with a C-index value for the prediction of 1-year OS, 1.5-year OS, and 2-year of 0.71 (95% confidence interval [CI], 0.61–0.70), 0.72 (95% CI, 0.62–0.70), and 0.70 (95% CI, 0.61–0.70), respectively. The calibration curves exhibited high consistencies between the predicted and observed survival probability in this cohort. Conclusion We have developed and internally validated a nomogram for predicting the survival outcome of PSCGBM for the first time. The nomogram has the potential to assist clinicians in making individualized predictions of survival outcome of PSCGBM.

Objective: Primary spinal cord glioblastoma (PSCGBM) is a rare malignancy with a poor prognosis. To date, no prognostic nomogram for this rare disease was established. Hence, we aimed to develop a nomogram to predict overall survival (OS) of PSCGBM. Methods: Clinical data of patients with PSCGBM was retrospectively collected from the neurosurgery department of Soochow University Affiliated Second Hospital and the Surveillance Epidemiology and End Results database. Information including age, sex, race, tumor extension, extent of resection, adjuvant treatment, marital status, income, year of diagnosis and months from diagnosis to treatment were recorded. Univariate and multivariate Cox regression analyses were used to identify independent prognostic factors for PSCGBM. A nomogram was constructed to predict 1-year, 1.5-year, and 2-year OS of PSCGBM. Results: A total of 132 patients were included. The 1-year, 1.5-year, and 2-year OS were 45.5%, 29.5%, and 18.9%, respectively. Four variables: age groups, tumor extension, extent of resection, and adjuvant therapy, were identified as independent prognostic factors. The nomogram showed robust discrimination with a C-index value for the prediction of 1-year OS, 1.5-year OS, and 2-year of 0.71 (95% confidence interval [CI], 0.61–0.70), 0.72 (95% CI, 0.62–0.70), and 0.70 (95% CI, 0.61–0.70), respectively. The calibration curves exhibited high consistencies between the predicted and observed survival probability in this cohort. Conclusion We have developed and internally validated a nomogram for predicting the survival outcome of PSCGBM for the first time. The nomogram has the potential to assist clinicians in making individualized predictions of survival outcome of PSCGBM.

Objective: Primary spinal cord glioblastoma (PSCGBM) is a rare malignancy with a poor prognosis. To date, no prognostic nomogram for this rare disease was established. Hence, we aimed to develop a nomogram to predict overall survival (OS) of PSCGBM. Methods: Clinical data of patients with PSCGBM was retrospectively collected from the neurosurgery department of Soochow University Affiliated Second Hospital and the Surveillance Epidemiology and End Results database. Information including age, sex, race, tumor extension, extent of resection, adjuvant treatment, marital status, income, year of diagnosis and months from diagnosis to treatment were recorded. Univariate and multivariate Cox regression analyses were used to identify independent prognostic factors for PSCGBM. A nomogram was constructed to predict 1-year, 1.5-year, and 2-year OS of PSCGBM. Results: A total of 132 patients were included. The 1-year, 1.5-year, and 2-year OS were 45.5%, 29.5%, and 18.9%, respectively. Four variables: age groups, tumor extension, extent of resection, and adjuvant therapy, were identified as independent prognostic factors. The nomogram showed robust discrimination with a C-index value for the prediction of 1-year OS, 1.5-year OS, and 2-year of 0.71 (95% confidence interval [CI], 0.61–0.70), 0.72 (95% CI, 0.62–0.70), and 0.70 (95% CI, 0.61–0.70), respectively. The calibration curves exhibited high consistencies between the predicted and observed survival probability in this cohort. Conclusion We have developed and internally validated a nomogram for predicting the survival outcome of PSCGBM for the first time. The nomogram has the potential to assist clinicians in making individualized predictions of survival outcome of PSCGBM.

Objective: Primary spinal cord glioblastoma (PSCGBM) is a rare malignancy with a poor prognosis. To date, no prognostic nomogram for this rare disease was established. Hence, we aimed to develop a nomogram to predict overall survival (OS) of PSCGBM. Methods: Clinical data of patients with PSCGBM was retrospectively collected from the neurosurgery department of Soochow University Affiliated Second Hospital and the Surveillance Epidemiology and End Results database. Information including age, sex, race, tumor extension, extent of resection, adjuvant treatment, marital status, income, year of diagnosis and months from diagnosis to treatment were recorded. Univariate and multivariate Cox regression analyses were used to identify independent prognostic factors for PSCGBM. A nomogram was constructed to predict 1-year, 1.5-year, and 2-year OS of PSCGBM. Results: A total of 132 patients were included. The 1-year, 1.5-year, and 2-year OS were 45.5%, 29.5%, and 18.9%, respectively. Four variables: age groups, tumor extension, extent of resection, and adjuvant therapy, were identified as independent prognostic factors. The nomogram showed robust discrimination with a C-index value for the prediction of 1-year OS, 1.5-year OS, and 2-year of 0.71 (95% confidence interval [CI], 0.61–0.70), 0.72 (95% CI, 0.62–0.70), and 0.70 (95% CI, 0.61–0.70), respectively. The calibration curves exhibited high consistencies between the predicted and observed survival probability in this cohort. Conclusion We have developed and internally validated a nomogram for predicting the survival outcome of PSCGBM for the first time. The nomogram has the potential to assist clinicians in making individualized predictions of survival outcome of PSCGBM.

Objective:To evaluate the efficacy and safety of apatinib in combination with chemoradiotherapy for head and neck squamous cell carcinoma (HNSCC).Methods:37 patients orally received apatinib at 250 mg/d during concurrent chemoradiotherapy until completion of radiotherapy, complete remission assessed by imaging examination, the onset of unacceptable toxicity or death. Baseline characteristics, objective response rates (ORR) and adverse events were assessed in all enrolled patients with complete baseline and safety data. Progression-free survival (PFS) and overall survival (OS) were calculated by Kaplan-Meier method. Prognostic factors were statistically identified using Cox regression models.Results:The ORR was 85%(95% CI: 72%-98%). The median PFS was 17.9 months and the 2-year OS rate was 62%(95% CI: 48%-80%). Ineffective short-term efficacy ( HR=0.035, 995% CI: 0.02-0.652, P=0.025) was an independent risk factor for poor OS. In addition, ineffective short-term efficacy ( HR=0.104, 95% CI: 0.017-0.633, P=0.014) and lymphocytopenia ( HR=17.539, 95% CI: 2.040-150.779, P=0.009) were independent risk factors for poor PFS. Common adverse events (>60%) included lymphocytopenia (76%), leukopenia (68%) and irradiation-induced mucosal injury (65%). The most common treatment-associated grade 3 adverse event was lymphopenia (49%). Conclusions:Apatinib combined with chemoradiotherapy yield significant anti-tumor activity for HNSCC with controllable toxicity. For patients with advanced HNSCC, short-term efficacy and lymphocytopenia may be potential predictors for clinical efficacy of apatinib combined with chemoradiotherapy.

Objective: To explore the molecular biological mechanism of curcumol in regulating ferroptosis and autophagy. Methods: The Pharm Mapper database was used to screen out curcumol targets, various known related databases were used to establish a database of ferroptosis and autophagy related targets, and the String database was used to construct a protein-protein interaction network. The key targets were enriched and analyzed using DAVID database. Results: 152 curcumol targets, 259 ferroptosis targets, and 796 autophagy targets were obtained; curcumol mainly regulated the ferroptosis process through PTGS2, ALB, MAPK1, MAPK8, and MAPK14 targets, and curcumol mainly through HSP90 AA1, MAPK1, MAPK8, ALB, NOS3 targets regulated the autophagy process, and curcumol mainly regulated the ferroptosis and autophagy process through ALB, MAPK1, MAPK8 targets. Conclusion Curcumol can exert pharmacological effects by regulating ferroptosis and autophagy.

Purpose: To evaluate the correlations between tear osmolarity and matrix metallopeptidase-9 (MMP-9) and dry eye (DE) indices in patients with DE associated with Sjögren’s syndrome (SS). Methods: Sixty-three patients with DE associated with SS who underwent tear analysis were included. DE tests performed were ocular surface disease index, tear break-up time, Schirmer’s test, ocular staining score, and tear osmolarity and MMP-9 tests. Correlations between tear osmolarity and DE indices, differences between patients with abnormal and normal tear osmolarity, and those between positive and negative MMP-9 patients were analyzed. Patients were classified into four groups according to tear osmolarity and MMP-9 results, and between-group differences were analyzed (group 1: abnormal tear osmolarity, MMP-9 positive; group 2: abnormal tear osmolarity, MMP-9 negative; group 3: normal tear osmolarity, MMP-9 positive; group 4: normal tear osmolarity, MMP-9 negative). Results: Mean age of patients was 54.2 ± 13.9 years, and 96.2% were female. Thirty-five patients had abnormal tear osmolarity and 40 patients were MMP-9 positive. DE indices differed between groups with abnormal and normal tear osmolarity (p < 0.01), but not between positive and negative MMP-9 groups. There were 22 patients in group 1, 13 in group 2, 18 in group 3, and 10 in group 4. Compared to group 4, tear break-up time was shorter in groups 1 (p < 0.01) and 2 (p = 0.02). Schirmer’s test values in group 1 were lower than those in group 4 (p = 0.03). Ocular staining score was higher in groups 1 (p < 0.01) and 2 (p < 0.05) than in group 4. Conclusions Tear osmolarity was correlated with ocular surface indices in DE associated with SS. Combination of tear osmolarity and MMP-9 test results may be helpful to determine the severity of DE associated with SS.