Objectives To assess the prognostic value of blood sugar level for acute respiratory failure patients undergoing mechanical ventilation. Methods The study collected 139 acute respiratory failure patients undergoing mechanical ventilation admitted between February 2012 and October 2013. The patients were divided into a hyperglycemic group (n=123, blood sugar ≥143 mg/dl) and a non-hyperglycemic group (n=16, blood sugar <143 mg/dl). The data for basic clinical pathological characteristics and the blood sugar levels were collected, and the correlation between the blood sugar level and the prognosis was assessed using single factor analysis and logistic regression method. Results In the study, 88.49% of patients with acute respiratory failure undergoing mechanical ventilation had hyperglycemia (blood sugar ≥143 mg/dl). The proportions of patients with APACHEⅡ score ≥10, chronic obstructive pulmonary disease (COPD) or hypoxemia in the hyperglycemic group were significantly higher than those in the non-hyperglycemic group (P<0.05). APACHEⅡ ≥10, COPD and hypoxemia were significant risk factors for hyperglycemia. At the same time, the proportions of patients in the death group with hyperglycemia ≥143 mg/dl ( OR=8.354, 95%CI 1.067-65.388, P=0.018), APACHEⅡ≥10 ( OR=2.545, 95%CI 1.109-6.356, P=0.046), COPD ( OR=2.871, 95%CI 1.203-6.852, P=0.015), and hypoxemia ( OR=3.500, 95%CI 1.556-7.874, P=0.002) were significantly higher than those in the survival group. Kaplan-Meier curve analysis found that the overall survival of the hyperglycemic patients with acute respiratory failure was significantly lower than that in the non-hyperglycemic patients (P<0.001). Conclusion Blood sugar level can be used as an independent predictor for acute respiratory failure patients undergoing mechanical ventilation.
Sleep disorder is related to many comorbidities, such as diabetes, obesity, cardiovascular diseases, and hypertension. Because of its increasing prevalence rate, it has become a global problem that seriously threatens people’s health. Various forms of sleep disorder can cause increased insulin resistance and/or decreased sensitivity, thus affecting the occurrence, development and prognosis of diabetes. However, sleep health has not been paid attention to in recent years. Therefore, this article summarizes the findings of the correlation between sleep disorder and diabetes mellitus in recent years, by elaborating the relationship between various types of sleep disorder (including sleep apnea syndrome) and diabetes mellitus, as well as their mechanisms and intervention measures, in order to enhance the attention of clinical workers to sleep health, and to provide basis for reducing the risk of diabetes.
Objective To evaluate the efficacy and safety of prostaglandin E1 (PGE1) for diabetic peripheral neuropathy (DPN). Methods We searched the Cochrane Library, PubMed, EMbase, CNKI, VIP and handsearched Chinese Journal of Metabolism, Chinese Journal of Diabetes and New Chinese Medicine. Randomized controlled trials of clinical therapeutic studies on PGE1 for DPN were included. The quality of included studies was evaluated and Meta-analysis was performed. Results Thirty-one trials involving 2 497 participants were included. Meta-analysis indicated that PGE1 was more effective than Vitamin B, Placebo and other microcirculation improving drugs in improving symptoms and signs of DPN. The RR (95%CI) were ［RR=1.75, 95％CI (1.54, 2.00)］, ［RRpooled=1.57, 95％CI (1.42, 1.74)］and［RR=1.31, 95％CI (1.19, 1.45)］respectively. PGE1 was more effective than Vitamin B, Placebo and other microcirculation improving drugs in improving nerve conduction velocity (NCV) of DPN patients. For spontaneous pain and hypesthesia of DPN patients, Lipo-PGE1 was more effective compared with PGE1-CD and the RR (95%CI) was［RR=1.43, 95％CI (1.16, 1.76)］. Slight adverse effects were reported in 16 studies. Conclusion Based on this review, PGE1 is effective for DPN. However, the evidence is not b enough due to the low quality of included trials. Further large-sample and multi-center studies are needed.
ObjectiveTo investigate the capability and demands of medical students of medical information retrieval, and to provide information for medical information literacy education.MethodsWe conducted an online questionnaire survey among medical students from 15th to 21st July, 2019, aiming to analyze basic characteristics of the subjects and their ways and capability to acquire medical information, and evaluated their demands and satisfaction about relevant courses.ResultsFour hundred and nine valid questionnaires were collected. The average age of the respondents was (21±3) years old. Among the respondents, 279 (68.2%) were female, 290 (70.9%) were undergraduates, and 187 (45.7%) majored in clinical medicine. The mostly accessed ways to obtain medical information were textbooks (87.8%) and search engines (84.4%). Among Chinese literature databases, the most commonly used was China National Knowledge Infrastructure (67.7%), followed by Wanfang (54.3%). As for English literature databases, the most commonly used was PubMed (66.0%), while the proportions of respondents who used other databases was less than 1/4. As for the problems when obtaining information, 84.8% of the respondents supposed that no access to some online databases was the main problem. Obtaining information from search engine scored the highest [(3.21±1.00) points, 5 points totally] when they were asked to self-evaluate their ability to obtain medical information by different methods. In terms of training demands, the need for courses about literature authenticity and accuracy evaluation was the highest [(4.05±1.07) points, 5 points totally]. The trainings were expected to be conducted within 1-2 years after enrollment (83.9%). Training through professional courses (86.8%) was the most welcomed training form, followed by courses on MOOC (51.3%), an online course platform. More than 50% of the respondents were satisfied with the current relevant courses and trainings.ConclusionBoth the students’ capability of medical information retrieval and the design of relevant trainings should be improved to better prepare the medical students for further clinical practice and scientific research.
ObjectivesTo evaluate and compare the clinical impact of different methods of trigger in polycystic ovary syndrome (PCOS) with high ovarian response undergoing in vitro fertilization-embryo transfer (IVF-ET) cycles.MethodsA total of 323 PCOS patients with high ovarian response in an gonadotrophin-releasing hormone antagonist protocol in our reproductive medical center from January 1st, 2017 to December 31st, 2017 were included. Then they were divided into two groups based on the different trigger modes: Group A: gonadotrophin-releasing hormone agonist (GnRH-a) with low dose human chorionic gonadotrophin (HCG); Group B: HCG as trigger. Analysis and comparison of the general data of the two groups of patients, ovulation induction cycle treatment, embryo laboratory indicators and resuscitation cycle treatment outcome were performed retrospectively.ResultsThere were no significant differences in baseline such as ages, BMI, startup dose of Gn, the total dosage of drugs, promote ovulation days and so on (P>0.05). The serum E2 level on trigger day in group A was significantly higher than those in group B (7 256.94±2 031.92 vs. 6 200.26±1 001.44, P<0.05). There were no significant differences in the retrieved oocytes (23.90±7.99 vs. 23.81±7.15), binuclear fertilization rate (58.19% vs. 56.30%), and the number of frozen embryos (12.81±5.45 vs. 11.07±5.36) between two groups (P>0.05). There were also no significant differences between two groups in the incidence of moderate to severe OHSS (5.98% vs. 7.87%), clinical pregnancy rate (59.28% vs. 57.53%), implantation rate (41.05% vs. 38.24%), miscarriage rate (9.28% vs. 8.22%) and live birth rate (47.42% vs. 41.10%) during the frozen-thawed cycles (P>0.05).ConclusionsFor high responders of PCOS patients with GnRH antagonist protocol, using GnRH-a with low dose HCG as trigger maybe could decrease the incidence of moderate to severe OHSS. Embryo resuscitation and transfer cycle can also obtain ideal outcome.