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.
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)
ObjectiveThe risk factors of relapse in 133 epileptic children after withdrawal were analyzed retrospectively and provide reference for clinical withdrawal.MethodsFrom January 2017 to March 2019, 133 children with withdrawal epilepsy were selected as the study object. According to whether there was recurrence during the follow-up period, the children with epilepsy were divided into recurrence group (42 cases) and non recurrence group (91 cases). The gender, age of onset, history of trauma, frequency of seizure before treatment, EEG before drug reduction, imaging, type of medication, family history, time of reaching control, course of disease before treatment, comorbidity, multiple attack types, withdrawal speed and EEG before treatment were observed and compared between the two groups. ResultsThere were significant differences in EEG (χ2 =7.621), medication type (χ2=8.760), time to control (χ2=6.618), course before treatment (χ2=6.435), multiple seizure types (χ2=5.443) and epilepsy comorbidity (χ2=42.795) between the two groups (P < 0.05). The results of Logistic multiple regression analysis showed that the recurrence of epileptic children after drug reduction / withdrawal was correlated with abnormal EEG before drug reduction [OR=9.268, 95%CI (2.255, 38.092)], combined drug treatment [OR=3.205, 95%CI (1.159, 8.866)] and course of disease > 1 year before treatment [OR=5.363, 95%CI (1.781, 16.150)] (P < 0.05).ConclusionsIn order to reduce the possibility of recurrence of epileptic children, the treatment time of epileptic children with abnormal EEG, combined medication and long course before treatment should be prolonged properly.
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.
Objective To study the distribution and drug resistance of pathogens causing hospital-acquired pneumonia (HAP) and explore the related risk factors, so as to provide valuable clinical reference for prevention and treatment of HAP. Methods A case-control study was conducted in a 3700-bed tertiary hospital. Nosocomial infections reported from January 2014 to December 2014 were investigated. A total of 419 inpatients with HAP were enrolled in as a study group, and 419 inpatients without nosocomial infection in the same period and department, with same gender, underlying diseases, and same age, were chosen as a control group. Risk factors of HAP, distribution and drug resistance of pathogens of HAP were analyzed. Results The incidence rate of HAP was 0.62% and the mortality rate was 19.81%. Multivariate analysis identified chronic lung diseases, admission in ICU, two or more kinds of antibiotics used, hospitalization time≥5 days, cerebrovascular disease, and mechanical ventilation were significant risk factors. Totally 492 strains of pathogens were isolated, including 319 strains of gram-negative bacteria, 61 strains of gram-positive bacteria, 112 strains of fungi.Acinetobacter baumannii,Klebsiella pneumonia,Candida albicans,Pseudomonas aeruginosa,Candida glabrata ranked the top five predominant pathogens. Drug resistance rates ofAcinetobacter baumannii to commonly used antibiotics were higher than 75%. Drug resistance rates ofKlebsiella pneumoniae to piperacillin and third-generation cephalosporin were higher than 50%. Conclusions HAP prevails in patients with hospitalization time≥5 days, admission in ICU, cerebrovascular diseases, two or more antibiotics combined used, chronic lung diseases, and mechanicalventilation. It is associated with increased length of hospital stay, decreased quality of life, and elevated morbidity and mortality. The main pathogens of HAP are Gram-negatives.Acinetobacter baumannii andKlebsiella pneumoniae are resistant to the common antibiotics in different degree.
ObjectiveTo explorer the risk factors for acute exacerbation in patients with bronchiectasis within one year.MethodsFour hundred and twenty-two patients with non-cystic fibrosis bronchiectasis hospitalized were enrolled in The East Region of the People’s hospital of Sichuan between October 2014 and October 2016. The patients’ clinical data were collected, and follow-up began at the time of discharged. The study endpoint was the first acute exacerbation, all patients were followed-up for one year after discharged. The patients were classified into two groups by the occurrence of acute exacerbation or no occurrence. Logistic regression analysis was used to explore the risk factors for acute exacerbation with bronchiectasis.ResultsThe age, sick time, body mass index (BMI) less than 18.5 kg/m2, smoking index, expectoration, hemoptysis, dyspnea, moist sounds, wheezing sounds, types of imaging, CT scores, lung lesion site, sputum culture, whether infected Pseudomonas aeruginosa, level of serum C-reactive protein (CRP), level of serum PCT, serum albumin, arterial carbon dioxide partial pressure, types of respiratory failure, combined with chronic cor pulmonale differed significantly between the two groups (P<0.05), while gender, history of Infection, smoking, cough, chest pain, fever, clubbed-finger, white blood cell counts, neutrophil counts, erythrocyte sedimentation rate, serum globulins, arterial oxygen partial pressure did not significantly differ (P>0.05). Multivariate Logistic regression analysis found that infection with Pseudomonas aeruginosa, BMI<18.5 kg/m2, high level of serum CRP, high level of arterial carbon dioxide partial pressure (PaCO2), high CT score with bronchiectasis, combination with chronic cor pulmonale were risk factors for acute exacerbation in patients with bronchiectasis (P<0.05).ConclusionsInfection with pseudomonas aeruginosa, BMI < 18.5 kg/m2, high serum CRP level, high arterial blood PaCO2 level, high CT score with bronchiectasis and combination of chronic cor pulmonale are risk factors for acute aggravation within 1 year for patients with bronchiectasis. Doctors can identify these risk factors and intervene early, so as to reduce the acute exacerbation of bronchiectasis.
Objective To establish a scoring system for patients withnon-small cell lung cancer (NSCLC), complicated by chemotherapy and myelosuppression based on Logistic regression analysis. Methods The clinical data of patients with lung cancer who received chemotherapy in our hospital from January 2018 to April 2024 were collected. The influencing factors of chemotherapy complicated with myelosuppression were analyzed by univariate and Logistic regression, and a nematographic model was established. Results Compared with non-myelosuppressive group, there were statistically significant differences in pre-chemotherapy leukocyte, pre-chemotherapy hemoglobin, ECOG score, use of platinum drugs, use of anti-metabolic drugs, use of anti-microtubule drugs in myelosuppressive group (P<0.05). WBC<4.0×109/L (OR:4.166, 95%CI: 1.521~11.410), hemoglobin<110g/L (OR: 6.926, 95%CI: 1.817~26.392), ECOG score ≥2 points (OR: 2.235, 95%CI: 1.032~4.840), platinum drugs (OR: 5.738, 95%CI: 2.514~13.097), anti-microtubule drugs (OR: 4.284, 95%CI: 1.853~9.905) and anti-metabolic drugs (OR: 7.180, 95%CI: 2.608~19.769) was an independent risk factor for chemotherapy complicated with myelopathic depression in lung cancer patients (P<0.05). Model verification results showed that the C-index was 0.817 (95%CI: 0.783~0.851), the calibration curve of the model was close to the ideal curve, and the AUC of the ROC curve was 0.811 (95%CI: 0.780~0.842), which showed a net benefit of the model within the range of 10% to 87.5%. Conclusion The constructed nomogram model can effectively predict the risk of chemotherapy complicated with myelosuppression in non-small cell lung cancer patients.
ObjectiveTo analyze the risk factors for electrical status epilepticus during sleep (ESES) in patients with self-limited epilepsy with centrotemporal spikes (SeLECTs) and to construct a nomogram model. MethodsThis study selected 174 children with SeLECTs who visited the Third Affiliated Hospital of Zhengzhou University from March 2017 to March 2024 and had complete case data as the research subjects. According to the results of video electroencephalogram monitoring during the course of the disease, the children were divided into non-ESES group (88 cases) and ESES group (86 cases). Multivariate logistic regression analysis was used to identify the risk factors for the occurrence of ESES in SeLECTs patients. ResultsThe multifactor Logistic regression analysis demonstrated that the EEG discharges in bilateral cerebral areas,types of seizure, epileptic seizures after initial treatment were the independent risk factors for the occurrence of ESES in SeLECTs. ConclusionBilateral distribution of electroencephalogram discharges before treatment, emergence of new seizure forms, and epileptic seizures after initial treatment are risk factors for the ESES in SeLECTs patients. The nomogram model constructed based on the above risk factors has a high degree of accuracy.
Epilepsy is one of the most common neurological diseases in children, about 2/3 can be seizure-free after anti-seizure medications (ASMs) treatment, but there are still some drug-resistant epilepsy (DRE) need surgical treatment, epilepsy surgery including excision surgery, dissociation surgery and palliative surgery, surgery can make 30%~40% DRE fully controlled. Clinicians usually choose to discontinue ASMs after seizure-free for 1 to 2 years after epilepsy surgery, but there has been controversy about whether to discontinue ASMs after surgery in children with epilepsy, how long to discontinue ASMs, the timing of ASMs withdrawal, and there is still a lack of unified guidelines. This article will comprehensively analyze and summarize the risk of recurrence after ASMs withdrawal in children with epilepsy.
ObjectiveTo evaluate the methodological quality of cross-sectional surveys about Chinese medicine syndrome in a population at potential risk of cerebrovascular diseases. Methods The CNKI, WanFang Data, CBM and PubMed databases were electronically searched to collect cross-sectional surveys about Chinese medicine syndromes in a population at potential risk of cerebrovascular diseases from inception to December, 2022. The methodological quality was assessed using the JBI scale. Results A total of 105 studies were included. The average reporting rate of JBI was 52.06%, and the items with the highest scores included "sufficient coverage of the identified sample in data analysis" (100%), "description of study subjects and setting" (92.38%), and "using valid methods for the identification of the condition" (86.67%). Items with the lowest scores included "adequate sample size" (13.33%), "adequate response rate or low response rate managed appropriately" (14.29%), and "study participants recruited in an appropriate way" (20.95%). Subgroup analysis suggested that type of publication and number of implementation centers were potential factors influencing methodology quality (P<0.05). Conclusion The methods essential to a cross-sectional survey such as sampling, sample size calculation and handling with the response rate, and the syndrome diagnosis scales specific to Chinese medicine require further improvement.