Objective:Exploring the association rules of factors influencing high hospitalization costs for cancer patients, providing references for hospitals to optimize medical cost management measures.Methods:In the inpatient case information system of a tertiary general hospital, the medical record homepages of inpatients in the DRG groups of the oncology department in 2022 were obtained. The upper four scores of hospitalization costs was used as the threshold for patient grouping. Patients with hospitalization costs≥this threshold were the high-cost group, while other patients were control group; 12 factors, including age, gender, and admission condition, etc, were considered as potential influencing factors of high hospitalization costs. FP-Growth and Apriori algorithms were used to excavate the potential association rules between the influencing factors of high hospitalization costs. Logistic regression was used to analyze the independent influencing factors of high hospitalization costs.Results:A total of 5 512 hospitalized patients were included, including 1 378 patients in the high-cost group. Thirteen validated strong association rules for factors influencing high hospitalization costs were obtained, of which the rule antecedents included age (≥70 years), number of days in hospital (≥7 days), other diagnoses (≥5), surgery, planned readmission, use of antibiotics, admission (general/critical), living admission score (61~99), level of care (level 1/level 2), non-day ward, criticality during hospitalisation. Logistic regression results showed that all nine influencing factors except gender, use of antibiotics, and readmission plans were independent influences on high hospitalization costs ( P<0.05). Conclusions:The joint application of FP-Growth and Apriori algorithm could effectively explore the association rules of high hospitalization costs for oncology patients. The early warning information mainly included the number of hospitalization days, the number of other diagnoses, surgeries, and so on. It was suggested that medical institutions can reasonably control the high hospitalization costs through clinical pathway management, diagnosis and treatment process reengineering, admission risk assessment, and multidisciplinary collaborative diagnosis and treatment strategies.

Objective:Exploring the association rules of factors influencing high hospitalization costs for cancer patients, providing references for hospitals to optimize medical cost management measures.Methods:In the inpatient case information system of a tertiary general hospital, the medical record homepages of inpatients in the DRG groups of the oncology department in 2022 were obtained. The upper four scores of hospitalization costs was used as the threshold for patient grouping. Patients with hospitalization costs≥this threshold were the high-cost group, while other patients were control group; 12 factors, including age, gender, and admission condition, etc, were considered as potential influencing factors of high hospitalization costs. FP-Growth and Apriori algorithms were used to excavate the potential association rules between the influencing factors of high hospitalization costs. Logistic regression was used to analyze the independent influencing factors of high hospitalization costs.Results:A total of 5 512 hospitalized patients were included, including 1 378 patients in the high-cost group. Thirteen validated strong association rules for factors influencing high hospitalization costs were obtained, of which the rule antecedents included age (≥70 years), number of days in hospital (≥7 days), other diagnoses (≥5), surgery, planned readmission, use of antibiotics, admission (general/critical), living admission score (61~99), level of care (level 1/level 2), non-day ward, criticality during hospitalisation. Logistic regression results showed that all nine influencing factors except gender, use of antibiotics, and readmission plans were independent influences on high hospitalization costs ( P<0.05). Conclusions:The joint application of FP-Growth and Apriori algorithm could effectively explore the association rules of high hospitalization costs for oncology patients. The early warning information mainly included the number of hospitalization days, the number of other diagnoses, surgeries, and so on. It was suggested that medical institutions can reasonably control the high hospitalization costs through clinical pathway management, diagnosis and treatment process reengineering, admission risk assessment, and multidisciplinary collaborative diagnosis and treatment strategies.

Objective: To explore the clinical response on cardiac resynchronization therapy (CRT) in patients of chronic heart failure (CHF) with different QRS wave morphology. Methods: A total of 52 CHF patients received CRT in our hospital and the Seventh People's Hospital of Zhengzhou City from 2010-03 to 2013-07 were retrospectively studied. The patients were divided into 3 groups: True-complete left bundle branch block (t-CLBBB) group,n=20, Classic LBBB (CLBBB) group,n=15 and IVCD group,n=17. The general clinical condition, the indexes of echocardiography at 6 months of follow-up study including left ventricular end diastolic diameter (LVEDD), left ventricular ejection fraction (LVEF), NYHA classiifcation and 6-MWT were examined and compared among different groups. Results: In general clinical condition, the ratio of non-ischemic heart disease patients in t-CLBBB group was higher than those in CLBBB group and IVCD group, allP<0.05. By 6 months follow-up study, LVEDD in t-CLBBB group (62.6 ± 8.9) mm was lower than those in CLBBB group (70.0 ± 8.9) mm and IVCD group (72.8 ± 8.0) mm, LVEF was higher in t-CLBBB group (38.5 ± 6.2) % than those in CLBBB group (31.7 ± 6.7) % and IVCD group (30.1 ± 6.7) %. NYHA classiifcation in t-CLBBB group (2.00 ± 0.45) grade was lower than those in CLBBB group (2.73 ± 0.80) grade and IVCD group (3.12 ± 0.78) grade . 6-MWT in t-CLBBB group (302.0 ± 57.9) m was longer than those in CLBBB group (257.3 ± 59.0) m and IVCD group (220.2 ± 57.9) m, allP<0.05. Conclusion: CRT is an effective method for treating CHD patients, different QRS morphology may have different response, the patients with t-CLBBB would make better response.

Objective: To evaluate the short-term effect of thrombus aspiration catheters combining tiroifban medication for myocardial tissue reperfusion recovery in patients with acute ST-elevation myocardial infarction (STEMI).
Methods: A total of 105 STEMI patients with percutaneous coronary intervention (PCI) in our hospital from 2011-05 to 2013-05 were studied, there were 73 male and 32 female with the mean age of (58.39 ± 10.37) years. The patients were randomly divided into 2 groups, Group A, the patients received thrombus aspiration catheters with intravenous tiroifban, n=53 and Group B, the patients received tiroifban and PCI, n=52. The basic clinical features, myocardial tissue perfusion level, major adverse cardiovascular events (MACE) at post operative and in-hospital period were recorded, the cardiac function was examined by echocardiography at 6 months after PCI in both groups.
Results: The basic clinical features were similar between 2 groups. The thrombolysis in myocardial infarction trial (TIMI) 3 lfow rate was higher in Group A than that in Group B (92.45% vs 55.77%), P=0.000. TIMI 2 and TIMI 0~1 lfow rates were lower in Group A than that in Group B (7.55%vs 26.92%), P=0.008 and (0%vs 17.31%), P=0.002. The adjusted TIMI frame was lower in Group A (27.26±5.50) vs (38.98±5.42), P<0.001. The echocardiography at 6 months after PCI indicated that Group A had higher LVEF than that in Group B (0.55±0.06) vs (0.47±0.06), P<0.001;lower left ventricular end diastolic diameter (50.77±5.45) vs (54.76±5.34), P<0.001;less angina and target vessel revascularization (16.98%vs 40.38%), P=0.008 and (9.43%vs 17.31%), P=0.008. The incidence of MI, acute heart failure, cardiac death and non-target vessel revascularization were similar between 2 groups, P>0.05.
Conclusion:Thrombus aspiration catheters combining tiroifban medication may obviously improve the myocardial tissue reperfusion and the short-term cardiac function in STEMI patients after PCI, it could reduce the incidence of no-relfow without increasing MACE.

Objective: To explore the mechanism of herb-partitioned moxibustion for ulcerative colitis (UC) through observing the colonic mucosal histopathological changes and the expression of nuclear factor kappaB (NF-kB) and peroxisome proliferators-activated receptorγ (PPARγ) mRNA of UC rats. ＜br> Methods: Male SD rats were randomly divided into a normal group and a model group. UC model was established by general immunological plus local irritation method. After model identification, rats in the model group were randomly divided into a model group, a herb-partitioned moxibustion (HPM) group and a Western medicine (Salicylazosulfapyridine, SASP) group. Rats in the HPM group received treatment at bilateral Tianshu (ST 25) and Dachangshu (BL 25), two cones for each point, once a day for 7 d. SASP group rats were gavaged with SASP. The pathological scores were evaluated according to hematoxylin-eosin (HE) staining of colonic tissues. We used light microscopy to observe degree of colonic mucosal damage and the quantitative polymerase chain reaction (QPCR) to detect the expression of NF-κBp65 and PPARγ in colorectal mucosa. ＜br> Results: Compared with the normal group, histopathological scores were significantly higher in the model group (P＜0.05); compared with the model group, the scores were decreased significantly in the HPM group and the SASP group. Compared with the normal group, NF-κBp65 mRNA expression was increased with statistical significance in the model group (P＜0.05); compared with the model group, NF-κBp65 mRNA expressions were decreased significantly in the HPM group and the SASP group. Compared with the normal group, PPARγ mRNA expression was increased significantly in the model group (P＜0.05); compared with the model group, PPARγ mRNA expressions were decreased significantly in the HPM group and the SASP group. ＜br> Conclusion: HPM could improve the mucosa damage of UC rats, which is possibly through down-regulating NF-κBp65 to achieve anti-inflammatory effect. Whether decreasing the PPARγ mRNA is possibly involved in preventing precancerosis will need further study.