Objective This study aims to conduct a retrospective analysis of the malignant tumor mortality cases at a specialized oncology hospital,providing a reference for rationally allocating medical resources and early diagnosis and treatment of malignant tumors.Methods Demographic data and clinical records of deceased patients with malignant tumor at the hospital from 2019 to 2024 was collected and analyzed with SPSS 25.0 and R studio in terms of gender,age,mortality rate and death causes.Results Totally,862 inpatients were reported dead from 2019 to 2024,with a mortality rate of 0.32％.Among them,500(58.0％)had not received surgical treatments,and 561(65.1％)were documented as clinical/pathological stage Ⅳ.Overall,531 deaths occurred in men and 331 in women;the male mortality rate was significantly higher than the female(0.54％vs.0.19％,(x2=236.93,P=0.000).The highest annual tumor-related mortality rate was recorded in 2019(0.46％).The 75-and-older age group had the greatest mortality,with 113 deaths accounting for 1.23％;the age-specific distribution differed sig-nificantly between sexes(P＜0.05).The top five causes of cancer death were lung cancer(206 cases,23.90％),liver cancer(88 cases,10.21％),gastric cancer(75 cases,8.70％),malignant lymphoma(73 cases,8.47％),pancreatic cancer(72 cases,8.35％).Conclusion The malignant tumor mortality rate is higher in males than in females,with the highest mortality observed in those aged 75 and above.Lung,liver and gastric cancers account for most cancer deaths.The hospital managers should strengthen health education for the elderly and simultaneously strengthen the diagnosis and treatment of these key cancers.

Objective This study aims to conduct a retrospective analysis of the malignant tumor mortality cases at a specialized oncology hospital,providing a reference for rationally allocating medical resources and early diagnosis and treatment of malignant tumors.Methods Demographic data and clinical records of deceased patients with malignant tumor at the hospital from 2019 to 2024 was collected and analyzed with SPSS 25.0 and R studio in terms of gender,age,mortality rate and death causes.Results Totally,862 inpatients were reported dead from 2019 to 2024,with a mortality rate of 0.32％.Among them,500(58.0％)had not received surgical treatments,and 561(65.1％)were documented as clinical/pathological stage Ⅳ.Overall,531 deaths occurred in men and 331 in women;the male mortality rate was significantly higher than the female(0.54％vs.0.19％,(x2=236.93,P=0.000).The highest annual tumor-related mortality rate was recorded in 2019(0.46％).The 75-and-older age group had the greatest mortality,with 113 deaths accounting for 1.23％;the age-specific distribution differed sig-nificantly between sexes(P＜0.05).The top five causes of cancer death were lung cancer(206 cases,23.90％),liver cancer(88 cases,10.21％),gastric cancer(75 cases,8.70％),malignant lymphoma(73 cases,8.47％),pancreatic cancer(72 cases,8.35％).Conclusion The malignant tumor mortality rate is higher in males than in females,with the highest mortality observed in those aged 75 and above.Lung,liver and gastric cancers account for most cancer deaths.The hospital managers should strengthen health education for the elderly and simultaneously strengthen the diagnosis and treatment of these key cancers.

Objective:To explore the impact of negative perfectionism on academic procrastination, as well as the mediating role of anxiety and the moderating role of negative cognitive emotion regulation strategies.Methods:In December 2022, a cross-sectional survey was conducted on 4 178 students from a medical college in Heilongjiang Province. The Zi negative perfectionism questionnaire, procrastination assessment scale-student, generalized anxiety disorder-7, and cognitive emotion regulation questionnaire were used to conduct the questionnaire survey, and 4 004 valid questionnaires were recovered. SPSS 26.0 statistical software was used for common method deviation test, descriptive statistics and correlation analysis, PROCESS macro program was used for mediation and moderation effect analysis.Results:(1) The scores of nursing students' negative perfectionism, anxiety, negative cognitive emotion regulation strategy, and academic procrastination were (120.48±23.40), (12.75±5.36), (44.82±11.20), and (42.95±14.30), respectively. (2) Negative perfectionism was positively correlated with anxiety ( r=0.311, P<0.01) and academic procrastination ( r=0.113, P<0.01). Academic procrastination was positively correlated with anxiety ( r=0.190, P<0.01) and negative cognitive emotion regulation strategies ( r=0.260, P<0.01). (3) Anxiety played a partially mediating role between negative perfectionism and academic procrastination, with direct effect and mediating effect accounting for 49.11% (0.055/0.112) and 50.89% (0.057/0.112) of the total effect, respectively. (4) The effect of negative perfectionism on anxiety was moderated by negative cognitive emotions, and the predictive effect of negative perfectionism on anxiety was stronger in nursing college students with high negative cognitive emotion ( β=0.231, P<0.001). Conclusion:Among nursing college students, negative perfectionism can predict academic procrastination through anxiety, and cognitive emotion regulation strategies moderate the predictive effect of negative perfectionism on anxiety.

Objective:To explore the impact of negative perfectionism on academic procrastination, as well as the mediating role of anxiety and the moderating role of negative cognitive emotion regulation strategies.Methods:In December 2022, a cross-sectional survey was conducted on 4 178 students from a medical college in Heilongjiang Province. The Zi negative perfectionism questionnaire, procrastination assessment scale-student, generalized anxiety disorder-7, and cognitive emotion regulation questionnaire were used to conduct the questionnaire survey, and 4 004 valid questionnaires were recovered. SPSS 26.0 statistical software was used for common method deviation test, descriptive statistics and correlation analysis, PROCESS macro program was used for mediation and moderation effect analysis.Results:(1) The scores of nursing students' negative perfectionism, anxiety, negative cognitive emotion regulation strategy, and academic procrastination were (120.48±23.40), (12.75±5.36), (44.82±11.20), and (42.95±14.30), respectively. (2) Negative perfectionism was positively correlated with anxiety ( r=0.311, P<0.01) and academic procrastination ( r=0.113, P<0.01). Academic procrastination was positively correlated with anxiety ( r=0.190, P<0.01) and negative cognitive emotion regulation strategies ( r=0.260, P<0.01). (3) Anxiety played a partially mediating role between negative perfectionism and academic procrastination, with direct effect and mediating effect accounting for 49.11% (0.055/0.112) and 50.89% (0.057/0.112) of the total effect, respectively. (4) The effect of negative perfectionism on anxiety was moderated by negative cognitive emotions, and the predictive effect of negative perfectionism on anxiety was stronger in nursing college students with high negative cognitive emotion ( β=0.231, P<0.001). Conclusion:Among nursing college students, negative perfectionism can predict academic procrastination through anxiety, and cognitive emotion regulation strategies moderate the predictive effect of negative perfectionism on anxiety.

【Objective】 To study the effect of intravenous immunoglobulin(IVIG) on the detection of blood transfusion compatibility in patients. 【Methods】 56 patients, submitted to our Hospital from March 1, 2017 to December 31, 2020, were enrolled as the research objects. They had negative unexpected antibody screening, major crossmatch incompatibility with the same blood type donors, and had a history of IVIG infusion. ABO and RhD blood groups typing, unexpected antibodies screening, crossmatch, direct antiglobulin test, indirect antiglobulin test, and acid elution test were all conducted by microcolumn gel method. 【Results】 After IVIG infusion, the initially major crossmatch incompatibility with the same blood type donors turned into compatiblity with O-type donors. Among them, 2 patients had transient discrepancy in ABO forward and reverse blood typing due to the IVIG infusion. IgG anti-A were detected in the red blood cell elution of 37 A-type patients; IgG anti-B in 2 B-type patients; 3 cases of IgG anti-A+ anti-B and 14 cases of solo IgG anti-A in 17 AB-type patients. 3 batches of IVIG preparations were detected randomly, IgG anti-A titer was 32-64, and IgG anti-B titer was 8-16. 【Conclusion】 The discrepancy in ABO forward and reverse blood typing and major crossmatch incompatibility with the same blood type donors may occur after non-O type patients received IVIG, which contains IgG types of anti-A and anti-B. In this situation, it is recommended to prepare major crossmatched O-type washed red blood cells to ensure the safety and effectiveness of clinical blood transfusion.

【Objective】 To explore the influencing factors of perioperative red blood cell transfusion in patients underwent lung transplantation, so as to provide reference for perioperative blood management (PBM) of lung transplantation patients. 【Methods】 The clinical data of 173 lung transplant patients completed in China-Japan Friendship Hospital from March 2017 to June 2019 were retrospectively analyzed. The patients were divided into two groups according to perioperative red blood cell transfusion volume: large blood transfusion group (transfusion red blood cell volume ≥6 U, n=66) and non-large blood transfusion group (red blood cell transfusion volume <6 U, n=107). The basic information, preoperative laboratory test results, and surgical status of the two groups were statistically analyzed.The clinical data of the two groups were analyzed by univariate analysis. The factors of P<0.15 were included in the binary logistic regression analysis, and the independent influencing factors of perioperative massive blood transfusion in patients with lung transplantation were found. 【Results】 Univariate analysis of clinical data of the two groups of patients (large blood transfusion group vs. non-large blood transfusion group) showed that the differences of smoking history ratio [44(66.7%) vs 87(81.3%)], BMI(20.8±4.5 vs 22.5±4.0)(P<0.05), preoperative Hb [124(111, 138.8) vs 138(126, 149)], preoperative Hct [37.9(34.8, 42.5) vs 41.3(37.9, 44.6)], surgery duration(327.9±107.7 vs 238.4±77.0), intraoperative blood loss(1 108.6±1342.0 vs 341.8±270.8) and single lung transplantation [28(42.4%) vs 84(78.5%)] (P<0.01) were statistically significant. Logistic regression analysis showed that intraoperative blood loss (OR=1.001, P<0.05), surgery duration (OR=1.006, P<0.05), preoperative Hb (OR=0.973, P<0.01), lung transplantation type(single or double lung transplantation)( OR=0.247, P<0.05) and extracorporeal membrane oxygenation (ECMO) (OR=0.187, P<0.01) were independent factors influencing red blood cell transfusion during lung transplantation. 【Conclusion】 Intraoperative blood loss and surgery duration are risk factors for massive blood transfusion during the perioperative period. And the use of ECMO, preoperative Hb, single lung transplantation (compared to double lung transplantation) are protective factors for perioperative massive blood transfusion.

This study sought to make a biomechanical analysis of the diffuse axonal injury(DAI) animal model caused by nonimpact with half bound head in cats. A three-dimensional finite element model of cat's head was established. The head of an anesthetized cat was scanned in 2 mm section. The nods and element meshes were signed out according to the geometry of every section. The geometric data were put into the computer and the element mesh body of cat's head was established in vizi CAD system. The maximum stress, minimum stress and von Mises stress were calculated by Super SAP (93ed) finite elemental software when the force was loaded on the right or left side of model in zero section. The analysis showed that the maximum stress appeared in the anterior and posterior loaded point and extended to cranial base in the cranial shell. There was high stress in the brain surface also. Because of cerebellar tentorium, cerebral falx, petrosal bone and sellar process, the stress did not decrease equivalently while approaching the deep brain, but it was distributed in cerebral-cerebellar peduncles, brain stem, corpus callosum and basal ganglia area at high values. The results suggest that the stress caused by rotational force is widespreadly and unequivalently distributed in brain tissue, which is mainly effected by the cerebellar tentorium, cerebral falx and the irregular geometric forms of cranial bone.
Animals ; Biomechanical Phenomena ; Brain ; pathology ; Brain Injuries ; pathology ; Cats ; Diffuse Axonal Injury ; pathology ; Finite Element Analysis ; Head ; Models, Animal ; Rotation ; Skull