目的 了解我院住院患者抗菌药物的临床应用现状及存在问题，为临床合理使用抗菌药物提供参考。 方法 采用回顾性调查方法，对本院2008年11月-2009年4月的出院病历资料进行统计、分析。 结果 共调查病历1 000份，抗菌药物总使用率58.70％；其中预防用药使用率62.35％，治疗用药使用率37.65％；联合用药的比例为37.31％；不合理用药占19.76%。 结论 抗菌药物使用率较高，且使用存在一些不合理现象。医院应加强监管，对存在的问题应制订相应措施。
ObjectiveVideo electroencephalography (VEEG) monitoring for health education of elderly patients based on a process-based communication model, and explore the impact of this model on the success rate, negative emotions, nursing satisfaction, and active cooperation rate of such patients.MethodsFrom September 2017 to September 2019, 118 patients with suspected epilepsy, encephalitis and other diseases who required VEEG monitoring in Suining Central Hospital were selected for this study (patients aged 61 to 73 years; 54 males and 64 females). Patients were divided into 2 groups using a random number table method, 59 patients in each group.A group received routine nursing, and B group received health education based on the process communication model. The monitoring success rate, negative emotion, active cooperation rate, and nursing satisfaction were compared between the two groups.ResultsThe total effective rate in the B group was 86.44%, which was significantly higher than 76.27% in the A group (P<0.05). After nursing intervention, the scores of anxiety and depression in the two groups were significantly decreased, but the decline was greater in the B group (P<0.05). The active cooperation rate and nursing satisfaction of the B group were significantly higher than those of the A group (P<0.05).ConclusionCompared with conventional nursing, health education based on process communication mode can significantly improve the success rate of VEEG monitoring in elderly patients, alleviate the negative emotions of patients, improve the active cooperation rate and nursing satisfaction.
ObjectiveTo compare the indirect calorimetry (IC) measured resting energy expenditure (MREE) with adjusted Harris-Benedict formula calculating resting energy expenditure (CREE) in the mechanically ventilated surgical critically ill patients and to evaluate the relationship between the resting energy expenditure (REE) with the severity of illness. MethodsTwenty-one patients undergonging mechanical ventilation for critical illness in the intensive care unit of general surgery between August 2008 and February 2010 were included in this study. Data during the study period of nutrition support were collected for computation of the severity of critical illness by acute physiology and chronic health evaluation Ⅱ scores (APACHE Ⅱ scores) and organ dysfunction scores (Marshall scores). MREE was measured by using IC of the MedGraphics CCM/D System within the first 7 d after nutrition therapy. CREE was calculated by using the HarrisBenedict formula adjusted with correction factors for illness at the same time. According to APACHE Ⅱ scores on admission, the enrolled patients were divided into two groups: APACHEⅡ score ≥20 scores group (n=8) and APACHE Ⅱ score lt;20 scores group (n=13), and the differences between MREE and CREE of patients in two groups were determined. ResultsThe reduction of variation tendency in CREE other than MREE in the enrolled patients within the first week of nutritional support was statistical significance (Plt;0.001). The CREE of patients 〔(1 984.49±461.83) kcal/d〕 was significantly higher than the MREE 〔(1 563.88±496.93) kcal/d〕 during the first week of nutritional support (Plt;0.001). The MREE on the 0, 1, 2, and 4 d after nutrition therapy were statistically significant lower than CREE at the same time interval in these patients (Plt;0.01), and the differences at the other time points were not significant (Pgt;0.05). There was a trend towards a reduction in APACHE Ⅱ and Marshall scores within the first week of nutrition therapy that reached statistical significance (Plt;0.001). During the first week of nutrition therapy, APACHEⅡ and Marshall scores of patients in ≥20 scores group were significantly higher than those in lt;20 scores group, respectively (Plt;0.05 or Plt;0.01), and the reductions of APACHE Ⅱ scores and Marshall scores were significant in patients of two groups (Plt;0.001). A significant positive correlation was found between CREE with APACHE Ⅱ scores (r=0.656, Plt;0.001) and Marshall scores (r=0.608，Plt;0.001) in patients within the first week after nutrition support. Although no statistically significant correlation was observed between MREE and APACHEⅡ scores (r=-0.045， P=0.563), a significant positive correlation was observed between MREE and Marshall scores (r=0.263, P=0.001) within the first week after nutrition therapy. There was no correlation between MREE and CREE (r=0.064, P=0.408) in patients at the same time interval. The reduction of MREE of patients in ≥20 scores group other than in lt;20 scores group was statistically significant within the first week after nutrition therapy (P=0.034). In addition, the MREE of patients in ≥20 scores group were not significantly different from those in lt;20 scores group (Pgt;0.05), and the mean CREE was not different in two groups patients within the first week of nutritional therapy 〔(1 999.55±372.73) kcal/d vs. (1 918.39±375.27) kcal/d, P=0.887〕. CREE was significantly higher than MREE of patients in ≥20 scores group within the first week except the 3 d and 5 d after nutrition therapy (Plt;0.05), while in lt;20 scores group CREE was significantly higher than MREE in patients only within the first 3 d after nutrition therapy (Plt;0.05 or Plt;0.01). MREE and CREE of patients in ≥20 scores group were not different from those in lt;20 scores group, respectively (Pgt;0.05).
ObjectiveTo investigate the prognostic value and consistency of prognostic nutritional index (PNI) and patient-generated subjective global assessment (PG-SGA) in perioperative nutritional status of patients with esophageal cancer.MethodsClinical data of 224 patients, including 186 males and 38 females with an average age of 63.08±8.42 years, who underwent esophageal cancer surgery in our hospital from November 2017 to August 2018 were retrospectively reviewed. The PNI was calculated according to the results of the first time blood and biochemical tests, and the PG-SGA assessment was also performed. According to the PNI value, the patients were divided into a good nutrition group (PNI≥45, 60 patients) and a malnutrition group (PNI<45, 164 patients). According to the PG-SGA score, the patients were divided into a good nutrition group (PG-SGA<4, 75 patients) and a malnutrition group (PG-SGA≥4, 149 patients). Nutrition-related haematological indexes and body mass index (BMI) were compared between the two groups, and the consistency of PNI and PG-SGA for nutritional assessment was analyzed.ResultsThe nutrition-related haematological indexes in different PNI groups were statistically different in the perioperative period (P<0.01). The longitudinal changes of prealbumin in patients of different PG-SGA groups were statistically different (P<0.05); the BMI of patients in different PG-SGA groups was statistically different in the perioperative period (P<0.01). The Kappa coefficient of the two indicators was 0.589 (P<0.001).ConclusionBoth PNI and PG-SGA can predict the nutritional risk of patients with esophageal cancer to some extent. PNI is an objective monitoring indicator, and PG-SGA is a subjective evaluation indicator, the combined use of which can more comprehensively reflect and predict the nutritional status of patients, and provide an important reference to the development of individualized nutrition support programs.
ObjectiveTo systematically review the global situation of off-label drug use in cancer patients. MethodsWe searched PubMed, EMbase, CNKI, CBM and VIP databases from their inception to October 2014, to collect studies on off-label drug use in cancer patients. The publication language was limited to English and Chinese. Combieg criteria was used for methodological quality assessment of included studies. A describe analysis was used to analyze the incidence and the proportion of different off-label used drugs. ResultsA total of 14 cross-sectional studies were included. Among them, 1 was from Switzerland, 1 was from Italy, 1 was from Australia, and the other 11 studies were from China. Seven included studies reported the investigated patients' number, containing 3 713 cancer patients and 13 238 prescriptions. The incidences of off-label drug were 2 844, accounting for 21.48%. There were similar rates of off-label prescriptions in Europe, Asia and Australia, but the average off-label prescriptions of European cancer patients were lower than Asia and Australia. The total rate of "unapproved dose", "unapproved indication", and "unapproved solvents" were more than 80% in off-label drug use. ConclusionThe average off-label prescriptions of European cancer patients are lower than Asian and Australian. "Unapproved dose", "unapproved indication" and "unapproved solvents" are the most common off-label prescription in off-label drug use.
Mouse animal models are the most commonly used experimental tools in scientific research, which have been widely favored by researchers. The animal model of mouse leukemia appeared in the 1930s. During the past 90 years, researchers have developed various types of mouse leukemia models to simulate the development and treatment of human leukemia in order to promote effectively the elucidation of the molecular mechanism of leukemia' development and progression, as well as the development of targeted drugs for the treatment of leukemia. Considering that to myeloid leukemia, especially acute myeloid leukemia, there currently is no good clinical treatment, it is urgent to clarify its new molecular mechanism and develop new therapeutic targets. This review focuses on the various types of mouse models about myeloid leukemia used commonly in recent years, including mouse strains, myeloid leukemia cell types, and modeling methods, which are expected to provide a reference for relevant researchers to select animal models during myeloid leukemia research.