The pathogenesis of diabetic retinopathy (DR) is complex and there are many related risk factors. It is related to the course of diabetes, blood glucose, blood pressure, and blood lipids, among which the course of disease and hyperglycemia are recognized main risk factors. In addition, other factors which include heredity, gender, age, obesity, pregnancy, insulin use, can also affect the occurrence and development of DR, but there is no unified conclusion about its correlation. A comprehensive understanding of the risk factors that affect DR can provide new ideas for the prevention, diagnosis, treatment, and intervention of DR.
ObjectiveTo identify the risk factors of Intensive Care Unit (ICU) nosocomial infection in ICU ward in a first-class hospital in Wuxi, and discuss the effective control measures, in order to provide evidence for making strategies in preventing and controlling nosocomial infection.
MethodsAccording to the principle of random sampling and with the use of case-control study, a sample of 100 nosocomial infection patients were selected randomly from January 2012 to December 2014 as survey group, and another 100 patients without nosocomial infection as control group. The data were input using EpiData 2.0, and SPSS 13.0 was used for statistical analysis; t-test and χ2 test were conducted, and the risk factors were analyzed using multi-variate logistic regression model. The significant level of P-value was 0.05.
ResultsBased on the results of univariate analysis, there were 13 risk factors for ICU nosocomial infection, including diabetes mellitus, hypoproteinemia, being bedridden, surgical operation, immunosuppression, glucocorticoids, organ transplantation, tracheal intubation, length of hospitalization, length of mechanical ventilation, length of central venous catheter, length of urinary catheter, and length of nasogastric tube indwelling. Multi-variate logistic analysis indicated that hospitalization of 7 days or longer[OR=1.106, 95%CI (1.025, 1.096), P=0.001], diabetes mellitus[OR=2.770, 95%CI (1.068, 7.186), P=0.036], surgical operation[OR=7.524, 95%CI (2.352, 24.063), P=0.001], mechanical ventilation of 7 days or longer[OR=1.222, 95%CI (1.116, 1.339), P<0.001], and nasogastric tube indwelling of 7 days or longer[OR=1.110, 95%CI (1.035, 1.190), P=0.003] were considered as independent risk factors for ICU nosocomial infection.
ConclusionHospitalization of 7 days or longer, diabetes mellitus, surgical operation, tracheal intubation of 7 days or longer, and gastric intubation of 7 days or longer are the major risk factors for nosocomial infection in ICU ward. Advanced intervention and comprehensive prevention measures are helpful to reduce the nosocomial infection rate and ensure the safety of medical treatment.
ObjectiveConstructing a prediction model for seizures after stroke, and exploring the risk factors that lead to seizures after stroke. MethodsA retrospective analysis was conducted on 1 741 patients with stroke admitted to People's Hospital of Zhongjiang from July 2020 to September 2022 who met the inclusion and exclusion criteria. These patients were followed up for one year after the occurrence of stroke to observe whether they experienced seizures. Patient data such as gender, age, diagnosis, National Institute of Health Stroke Scale (NIHSS) score, Activity of daily living (ADL) score, laboratory tests, and imaging examination data were recorded. Taking the occurrence of seizures as the outcome, an analysis was conducted on the above data. The Least absolute shrinkage and selection operator (LASSO) regression analysis was used to screen predictive variables, and multivariate Logistic regression analysis was performed. Subsequently, the data were randomly divided into a training set and a validation set in a 7:3 ratio. Construct prediction model, calculate the C-index, draw nomogram, calibration plot, receiver operating characteristic (ROC) curve, and decision curve analysis (DCA) to evaluate the model's performance and clinical application value. ResultsThrough LASSO regression, nine non-zero coefficient predictive variables were identified: NIHSS score, homocysteine (Hcy), aspartate aminotransferase (AST), platelet count, hyperuricemia, hyponatremia, frontal lobe lesions, temporal lobe lesions, and pons lesions. Multivariate logistic regression analysis revealed that NIHSS score, Hcy, hyperuricemia, hyponatremia, and pons lesions were positively correlated with seizures after stroke, while AST and platelet count were negatively correlated with seizures after stroke. A nomogram for predicting seizures after stroke was established. The C-index of the training set and validation set were 0.854 [95%CI (0.841, 0.947)] and 0.838 [95%CI (0.800, 0.988)], respectively. The areas under the ROC curves were 0.842 [95%CI (0.777, 0.899)] and 0.829 [95%CI (0.694, 0.936)] respectively. Conclusion These nine variables can be used to predict seizures after stroke, and they provide new insights into its risk factors.
Objective To explore the correlation of risk factors affecting the L2-4BMD level in patients with post-menopausal osteoporosis. Methods Ninety-two patients with post-menopausal osteoporosis were surveyed with a retrospective questionnaire. We used the findings to set up a multiple stepwise regression model and perform correlation analysis with L2-4BMD levels as the dependent variable and risk factors as the independent variables. Results Assuming that age has a definite effect on the L2-4BMD level of menopausal women, menopausal age limit, history of milk drinking, menopausal age, menarche age, fracture history and bend-back entered into the multiple stepwise regression equation. Conclusions Menopausal age limit, history of milk drinking, menopausal age, menarche age, fracture history, and bend-back influence patients with menopausal osteoporosis.The menopausal age limit is especially important. Awareness of the risk factors of osteoporosis should be raised.
Objective To define risk factors of nosocomical pneumonia (NP) in elderly in-patients. Methods Two hundred elderly in-patients were selected in the Geriatric Department of West China Hospital from January 1999 to June 2002. Among them, 100 patients developed NP during their hospital days and the others didn’t have the episodes of NP at the same time. The following factors were analyzed: sex, age, multiple underline diseases and their severity, smoking, activity of daily life, conscious status, aspiration, nasogastrial intubations, antibiotics use and hospitalization. SPSS 10.0 was used for Logistic regression analysis to determine the factors significantly associated with the development of NP. Results The following factors were significantly associated with the development of NP in the logistic regression analysis: aspiration [OR 28.452, 95%CI (3.793 to 213.447)],multiple diseases [OR 17.157, 95%CI (2.734 to 107.651)], multiple antibiotics use [OR 6.396, 95%CI (1.861 to 21.980)], smoking [OR 1.774, 95%CI (1.211 to 2.600)] and prolonged hospitalization [OR 1.134, 95%CI (1.081 to 1.189)]. Conclusions Aspiration, multiple diseases, multiple antitiotics use, smoking and prolonged hospitalization are closely related to NP in elderly in-patients. Cautionary medical measures and shortening hospitalization were the key factors to decrease the incidence of NP for the patients in Geriatric Department.
ObjectivesTo systematically review the risk factors of postoperative hypoxemia in patients undergoing coronary artery bypass grafting.MethodsPubMed, EBCO, The Cochrane Library, CNKI, VIP and WanFang Data databases were electronically searched to collect case-control studies and cohort studies on the risk factors of postoperative hypoxemia in patients undergoing coronary artery bypass grafting from inception to December 2018. Two reviewers independently screened literature, extracted data and assessed risk of bias of included studies, then, meta-analysis was performed by using RevMan 5.3 software.ResultsA total of 20 articles were included, including 3 926 patients. The results of meta-analysis showed that: age (OR=2.94, 95%CI 0.81 to 5.07, P=0.007), body mass index (OR=1.94, 95%CI 0.77 to 3.12, P=0.001), smoking (OR=2.72, 95%CI 1.68 to 4.42, P<0.000 1), diabetes history (OR=1.63, 95%CI 1.37 to 1.93, P<0.000 01), preoperative lung diseases (OR=4.11, 95%CI 1.64 to 10.28, P=0.003), complicated ventricular aneurysm (OR=1.57, 95%CI 1.12 to 2.21, P=0.01), left ventricular end-diastolic diameter (OR=1.28, 95%CI 0.12 to 2.44, P=0.03), aortic occlusion time (OR=13.25, 95%CI 4.93 to 21.57, P=0.002), operation time (OR=9.33, 95%CI 5.36 to 13.30, P<0.000 01), number of bypass branches (OR=0.19, 95%CI 0.02 to 0.36, P=0.03), intraoperative infusion volume (OR=383.46, 95%CI 282.16 to 484.76, P<0.000 01) and postoperative pulmonary infection (OR=6.00, 95%CI 3.83 to 9.42, P<0.000 01) were the risk factors for postoperative hypoxemia in patients undergoing coronary artery bypass grafting. Preoperative ejection fraction (OR=?2.60, 95%CI ?4.56 to ?0.64, P=0.009) and preoperative partial oxygen pressure (OR=?3.14, 95%CI ?4.72 to ?1.56, P=0.000 1) were the protective factors for postoperative hypoxemia.ConclusionsCurrent evidence shows that age, body mass index, smoking, diabetes history, preoperative lung diseases, complicated ventricular aneurysm, left ventricular end-diastolic diameter, aortic occlusion time, operation time, number of bypass branches, intraoperative infusion volume and postoperative pulmonary infection are risk factors for postoperative hypoxemia in patients undergoing coronary artery bypass grafting. Due to limited quality and quantity of included studies, the above conclusion is required to be assessed by further studies.
ObjectiveTo explore the risk factors for surgical patients associated with postoperative nosocomial infection through monitoring the infection conditions of the patients, in order to provide a scientific basis for the development of hospital infection control measures in a second-grade class-A hospital in Chengdu City.
MethodsWe conducted the survey with cluster sampling as the sampling method and the uniform questionnaire in the departments of orthopedic, neural and thoracic surgery from July 2011 to June 2012. The main parameters we observed were the patients'general and surgical conditions, antibiotics usage and hospital infection situation. Data were analyzed using the National Nosocomial Infection Surveillance Network software and chi-square test of single factors.
ResultsIn this survey, we monitored 50 cases of postoperative hospital infection. The infection rate was 7.73% and the highest infection rate was in the Neurosurgery Department. The main site of infection was lower respiratory tract, followed by surgical site. The different usage time of antimicrobial drug in perioperative period resulted in different infection rates, and the difference was statistically significant (χ2=601.50, P<0.005). The rate of adjusted postoperative hospital infection was higher than pre-adjusted rate except that of the neurosurgery doctor 4. The risk factors associated with hospital postoperative infection in our hospital were:patients'conditions including underlying disease, emergency surgery, type of anesthesia, operative duration, hospital stay and postoperative drainage. Most of the hospital infection cases were caused by bacteria of the gram-negative bacilli, and the major pathogens were Klebsiella pneumoniae, Pseudomonas aeruginosa and Acinetobacter baumannii in our hospital.
ConclusionThe hospital should particularly strengthen the prevention and control of hospital infection in patients after neurosurgical operations. For patients with basic diseases, we should actively improve the patients'physical conditions before operation and control the primary lesion. Targeted control measures should be taken for different factors related to surgery. Reasonable selection of antimicrobial agents should be based on the epidemic strains in our hospital.
Objective
To investigate the relationship among central retinal vein occlusion (CRVO), major systemic diseases, ocular local diseases and related risk factors in Chinese population.
Methods
Seventeen-six patients with CRVO diagnosed by fundus fluorescein angiography (FFA) without any medical treatment were in CRVO group. Another 76 patients without CRVO or any vascular diseases of ocular fundus were in the control group who were matched with the ones in CRVO group to a one-to-one partnership according to the age and gender. The 2 groups were subdivided into le;45 years old (25 patients, 32.9%) and gt;45 years old (51 patients, 67.1%) subgroups according to the age, and 2 ischemia and non-ischema subgroups according to the results of FFA, respectively. The blood lipid, blood pressure, and fasting blood glucose were measured. The systematic diseases, ocular local diseases and the related risk factors were statistically analyzed and compared.
Results
The incidence of hypertension and hyperlipemia in CRVO group were significantly higher than that in the control group (Plt;0.001,P=0.001). There was no significant difference of cardiovascular diseases, cerebrovascular diseases, open-angle glaucoma, and smoking and drinking between the two groups(Pgt;0.05). In le;45 years old subgroups, there was no significant difference of each examination target between CRVO and control group(Pgt;0.05). In ischemia subgroups, except for the hypertension and hyperlipemia, the incidence of diabetes mellitus was obviously higher in CRVO group than that in the control group (hyperlipidemia:P=0.031; diabetes mellitus:P=0.024; diabetes mellitus: Plt;0.001).
Conclusion
Hypertension and hyperlipidemia are the systematic factors in Chinese population with occurrence of CRVO. In addition, diabetes mellitus is associated with ischemic CRVO. Timely diagnosis and treatment of the systematic diseases is important to the prevention and treatment for CRVO.
(Chin J Ocul Fundus Dis, 2007, 23:159-162)
Cardiac implantable electronic device (CIED) is commonly used to treat arrhythmias. The amount of CIED implantation has increased year by year since its first application in 1958. At the same time, the CIED infection rate also increases significantly. Although the infection rate is very low for the primary implantation, the consequences of CIED infection are serious, and it is often necessary to remove the equipment for treatment. The mortality rate in patients with CIED infections is high, and the economic burden is huge. In this paper, the epidemiology, pathogenesis and pathogen, manifestations and diagnosis, risk factors, treatment and preventive measures of CIED infection were systematically described based on the recently published guidelines and international consensus literature, so as to provide theoretical guidance for the prevention of CIED infections.
ObjectiveTo observe the effect of target monitoring on the patients with ventilator-associated pneumonia (VAP) in intensive care unit (ICU), analyze the risk factors and take effective measures to reduce the VAP occurrence.
MethodsTarget monitoring was performed on patients with ventilator in ICU from January to July 2013 (observation group), and they were compared with those patients accepting general comprehensive monitoring in ICU from January to July 2012 (control group). The incidence of VAP was compared between the two groups.
ResultsThe incidence of VAP in the observation group and the control group was 21.73‰ and 53.33‰, respectively. There was a significant difference between the observation group and the control group (P<0.05).
ConclusionFor patients undergoing mechanical ventilation, target monitoring can control the risk factors and incidence of VAP, adjust the interference in time, and improve the curing rate.
