ObjectiveTo explore the risk factors for accompanying depression in patients with community type Ⅱ diabetes and to construct their risk prediction model. MethodsA total of 269 patients with type Ⅱ diabetes accompanied with depression and 217 patients with simple type Ⅱ diabetes from three community health service centers in two streets of Pingshan District, Shenzhen from October 2021 to April 2022 were included. The risk factors were analyzed and screened out, and a logistic regression risk prediction model was constructed. The goodness of fit and prediction ability of the model were tested by the Hosmer-Lemeshow test and the receiver operating characteristic (ROC) curve. Finally, the model was verified. ResultsLogistic regression analysis showed that smoking, diabetes complications, physical function, psychological dimension, medical coping for face, and medical coping for avoidance were independent risk factors for depressive disorder in patients with type Ⅱ diabetes. Modeling group Hosmer-Lemeshow test P=0.345, the area under the ROC curve was 0.987, sensitivity was 95.2% and specificity was 98.6%. The area under the ROC curve was 0.945, sensitivity was 89.8%, specificity was 84.8%, and accuracy was 86.8%, showing the model predictive value. ConclusionThe risk prediction model of type Ⅱ diabetes patients with depressive disorder constructed in this study has good predictive and discriminating ability.
Objectives To evaluate the risk factors of nonarteritic a nterior ischemic optic neuropathy（NAION）in a population of China and to provide theory basis for clinical decision. Methods Demographic features and clinical data of NAION were recorded. Cerebral infarction (CI) patients were also collected as control group. Systemic evaluations including whole blood chemical test, brain MRI, carotid artery ultrasound and fundus photography were perfor med in NAION and CI patients. The fundus photography and cup/disk ratio were als o acquired in a healthy controlgroup with matched age and gender. Statistical a nalysis was done by SPSS11.5 software. Results Thirtyeight N AION patients and 40 CI patients with intact data were included. Fundus photography and cup/disk ratio were acquired in 41 healthy individuals. No statistically significant difference regard to incidences of diabetes, male gender and lipid metabolic abnormalities was found between NAION and CI patients (Pgt;0.05). H ypertension, clinical and subclinical cerebral vascular disease and carotid ar tery stenosis were statistically more commonin CI patients than in NAION patien ts (Plt;0.01, 0.05). Cup/disk ratio was statistically significant smaller in NAION than in CI patients while no statistical difference (Pgt;0.05) was fo und between the CI group and healthy individuals. Conclusions NAION shared similar risk factors with cerebral infarction, but exposure of these risk factors was different between NAION and cerebral infarction. Hypertension , cerebral vascular disease and carotid artery stenosis were more common in cere bral infarction while diabetes, male gender and lipid metabolic abnormalities were similar. Small cup/disk ratio was an independent and the most important risk factor for NAION. (Chin J Ocul Fundus Dis,2008,24:86-89)
Objective To investigate the relationship between smoking and lung cancer by evidence-based evaluation. Methods Using Meta-analysis method, the results of 29 case-control studies involving the relationship between smoking and lung cancer in recent decade were analyzed by Review Manager 4. 2 software. Results The association between smoking and lung cancer was significant ( Z =12. 16, P lt; 0. 000 01) , and the pooled OR value was 5. 75( 4. 34, 7. 62) . The population attributable risk percentage( PARP) of smoking was 69. 16% . The pooled OR of 1-10 cpd( cigarettes per day) , 10-20 cpd, 20-40 cpd and more than 40 cpd were 1. 97( 1. 69, 2. 30) , 5. 20( 3. 54, 7. 62) , 7. 46( 5. 22, 10. 67) and 15. 14 ( 5. 27, 43. 44) respectively. The pooled OR of less than 20 years of smoking duration, 20-40 years and more than 40 years were 1. 25( 1. 01, 1. 53) , 5. 10( 3. 03, 8. 57) and 10. 77( 7. 30, 15. 89) respectively. While the pooled ORof less than 10 pack-years, 10-20 pack-years, 20-40 pack-years and more than 40 pack-years were 1. 73( 1. 01, 2. 96) , 3. 73 ( 3. 02, 4. 61) , 5. 69 ( 3. 79, 8. 54) and 8. 41 ( 4. 56, 15. 51) respectively. The pooled OR of initial smoking age less than 15 years old, 15-20 years old and more than 20 years old were 13. 31( 7. 09, 24. 97) , 7. 21( 4. 51, 11. 52) and 4. 74( 3. 47, 6. 47) respectively. The pooled OR of quitting smoking for 1-10 years, 10-20 years and more than 20 years were 7. 16( 4. 70, 10. 91) , 2. 12( 1. 16, 3. 86)and 1. 47 ( 0. 67, 3. 20 ) respectively, and more than 20 years of quitting smoking had no significant difference. The pooled OR of light smoking and deep smoking were 3. 26( 1. 24, 8. 58) and 8. 07( 4. 67, 13. 94) respectively. Conclusions Smoking is an important risk factor of lung cancer. Meta-anlalysis revealed cigarettes comsuption per day, smoking duration, total amount of cigarettes ( pack-years) , smoking behaviour( depth) , initial age of smoking and duration of quitting smoking can increase the risk of lung cancer.
Objective To systematically review and analyze the risk factors of epilepsy in children, to explore the related etiology of epilepsy in children, and to provide evidence-based strategies for reducing the occurrence of epilepsy in children. Methods PubMed, Embase, VIP, CNKI, Web of science, Cohrane, and CBM were searched for relevant studies on risk factors for childhood epilepsy since the establishment of the database, and the study type was selected as a case-control study. After screening and quality evaluation, the literatures that met the requirements were finally selected for inclusion in the study, and the extracted target data were statistically analyzed by RevMan5.3 software. Results A total of 9 literatures were included for Meta-analysis of the risk factors of epilepsy in children. A total of 3792 cases were studied, including 1 922 cases in the control group and 1 870 cases in the case group. Meta-analysis results showed that adverse perinatal period, family history of epilepsy, febrile seizures, and central nervous system infection were closely related to the occurrence of epilepsy in children, and the OR values were OR=3.46, 95%CI (2.51, 4.79), OR=4.77, 95%CI (3.83, 5.95), OR=7.81, 95%CI ( 5.64, 10.80), OR=3.00, 95%CI (1.44, 6.26), P values were all less than 0.05. Conclusions Adverse perinatal period, family history of epilepsy, febrile seizures, and central nervous system infection are the current risk factors for childhood epilepsy.
【Abstract】 Objective To analyze the risk factors for ventilator-associated pneumonia ( VAP) in respiratory intensive care unit ( RICU) , as well as the impact on mortality. Methods A retrospective cohort study was conducted in 105 patients who had received mechanical ventilation in RICUbetweenMay 2008 andJanuary 2010. The duration of intubation, vital signs, primary disease of respiratory failure and complications,blood biochemistry, blood routine tests, arterial blood gas analysis, APACHEⅡ score,medications, nutritional status, bronchoalveolar lavage ( BAL) , protected specimen brush ( PSB) quantitative culture, chest X-rayexamination were recorded and analyzed. Results The incidence rate of VAP was 32. 4% . Mortality in the VAP patients were significantly higher than those without VAP( 58. 8% vs. 28. 2% , P = 0. 007) . The duration of intubation, hypotension induced by intubation, cerebrovascular disease, and hypoalbuminemiawererisk factors for VAP in RICU. Conclusions Mortality of the patients with VAP increased obviously. The risk factors for VAP in RICU were the duration of intubation, hypotension after intubation, cerebrovascular disease, and hypoalbuminemia.
ObjectiveTo establish and preliminarily validate a nomogram model for predicting the risk of retinal vein occlusion (RVO). MethodsA retrospective clinical study. A total of 162 patients with RVO (RVO group) diagnosed by ophthalmology examination in The Second Affiliated Hospital of Xi'an Jiaotong University from January 2017 to April 2022 and 162 patients with age-related cataract (nRVO group) were selected as the modeling set. A total of 45 patients with branch RVO, 45 patients with central RVO and 45 patients with age-related cataract admitted to Xi 'an Fourth Hospital from January 2022 to February 2023 were used as the validation set. There was no significant difference in gender composition ratio (χ2=2.433) and age (Z=1.006) between RVO group and nRVO group (P=0.120, 0.320). Age, gender, blood routine (white blood cell count, hemoglobin concentration, platelet count, neutrophil count, monocyte count, lymphocyte count, erythrocyte volume, mean platelet volume, platelet volume distribution width), and four items of thrombin (prothrombin time, activated partial thrombin time, fibrinogen, and thrombin time) were collected in detail ), uric acid, blood lipids (total cholesterol, triglyceride, high-density lipoprotein, low-density lipoprotein, lipoprotein a), hypertension, diabetes mellitus, coronary heart disease, and cerebral infarction. Neutrophil/lymphocyte ratio and platelet/lymphocyte ratio were calculated. The single logistic regression was used to analyze the clinical parameters of the two groups of patients in the modeling set, and the stepwise regression method was used to screen the variables, and the column graph for predicting the risk of RVO was constructed. The Bootstrap method was used to repeated sample 1 000 times for internal and external verification. The H-L goodness-of-fit test and receiver operating characteristic (ROC) curve were used to evaluate the calibration and discrimination of the nomogram model. ResultsAfter univariate logistic regression and stepwise regression analysis, high density lipoprotein, neutrophil count and hypertension were included in the final prediction model to construct the nomogram. The χ2 values of the H-L goodness-of-fit test of the modeling set and the validation set were 0.711 and 4.230, respectively, and the P values were 0.701 and 0.121, respectively, indicating that the nomogram model had good prediction accuracy. The area under the ROC curve of the nomogram model for predicting the occurrence of post-stroke depression in the modeling set and the verification set was 0.741 [95% confidence interval (CI) 0.688-0.795] and 0.741 (95%CI 0.646-0.836), suggesting that the nomogram model had a good discrimination. ConclusionsLow high density lipoprotein level, high neutrophil count and hypertension are independent risk factors for RVO. The nomogram model established based on the above risk factors can effectively assess and quantify the risk of post-stroke depression in patients with cerebral infarction.
Objective To investigate the risk factors of perioperative red blood cells transfusion for coronary artery bypass grafting (CABG) surgery. Method We retrospectively analyzed the clinical data of 534 patients underwent CABG in our hospital from January to March 2014 year. Those patients were divided into two groups:an on-pump coronary artery bypass grafting group (on-pump group) and an off-pump coronary artery bypass grafting group (off-pump group). There were 185 males and 54 females with a mean age of 59.1±9.4 years in the on-pump group. There were 233 males and 62 females with a mean age of 60.3±8.5 years in the off-pump group. Preoperative data, the relative parameters of extracorporeal circulation, the quantity of red blood cells transfusion of those two groups were compared. risk factors associated with red blood cells transfusion were evaluated by multivariate logistic regression analysis. Results The risk factors of perioperative red blood cells transfusion were age (OR=1.04, 95% CI 1.02-1.07, P=0.001) , weight (OR=0.95, 95% CI 0.93-0.97, P<0.001) , smoking (OR=0.61, 95% CI 0.39-0.94, P=0.027) , preoperative level of HCT (OR=0.90, 95% CI 0.85-0.96, P=0.001) and cardiopulmonary bypass (CPB) (OR=4.90, 95% CI 3.11-7.71, P<0.001) . During CPB, the nadir hemoglobin (nHb) (OR=0.63, 95% CI 0.47-0.84, P=0.002) was the only independent risk factor of red blood cell transfusion. Conclusions Age, weight, non-smoking, preoperative level of HCT, CPB are the risk factors for patients underwent CABG perioperatively and the lowest level of Hb in CPB is an independent risk factor of perioperative red blood cells transfusion.
ObjectiveTo investigate the health status of elderly peptic ulcer patients in Haikou city and its influencing factors. MethodsSeventy-eight elderly peptic ulcer patients treated in the Department of Gastroenterology, Haikou Hospital between February 2012 and December 2014 were chosen to be the observation group, and at the same time, another 78 healthy elderly people examined in the same hospital were designated as the control group. The general information and health status of the study subjects were investigated for correlation analysis. ResultsThe health status, physical function, body pain, life quality and mental health scores in the observation group were significantly lower than those in the control group (P<0.05). Univariate analysis showed that age, smoking, high-salt diet, body mass index (BMI) were significantly associated with the incidence of peptic ulcer (P<0.05). Multivariate logistic regression analysis showed that age, smoking, high-salt diet, BMI were all independent risk factors for peptic ulcer occurrence (P<0.05). ConclusionThe health status of elderly peptic ulcer patients in Haikou city is relatively low. Age, smoking, high-salt diet and BMI are the major independent risk factors for the occurrence of peptic ulcer. We need to actively strengthen symptomatic prevention and intervention.
Objective To analyze the etiology, risk factors, and prognosis of late-onset hospitalacquired pneumonia ( L-HAP) in respiratory ICU. Methods In this retrospective case control study, 30 L-HAP patients and 30 patients without HAP in respiratory ICU were enrolled to investigate the features and risk factors of L-HAP. Stratification was made according to the onset time of L-HAP. The etiology and pathogen distribution at each stage were described and analyzed. Results Univariate analysis revealed thatunconsciousness, aspiration, mechanical ventilation, hypoalbuminemia, and long-term use of proton pump inhibitor were significantly associated with L-HAP. Logistic regression analysis revealed that mechanical ventilation( OR = 8. 7) and hypoalbuminemia ( OR = 20. 4) were independent risk factors for L-HAP. The L-HAP patients had longer stay in hospital, long-termantibiotic use, and higher mortality compared with the patients without HAP. For the patients whose L-HAP onset time within 6-14 days, the dominated pathogens were Acinetobacter baumannii and Klebsiella pneumonia. For those within 15-28 days, the dominated pathogens were Pseudomonas aeruginosa, Acinetobacter baumanni, and Staphylococcus aureus. For those beyond 29 days, the dominated pathogens were Pseudomonas aeruginosa and Stenotrophomonas maltophilia. Conclusions Mechanical ventilation and hypoalbuminemia are independent risk factors for L-HAP. The pathogen features of L-HAP are quite different at different inhospital stage.
ObjectiveTo analyze the risk factors of cognitive dysfunction in patients with epilepsy, and provide evidence for clinical prevention and treatment.MethodsDuring the period from January 1, 2018 to January 31, 2019, 101 patients with epilepsy who were admitted to the epilepsy specialist clinic of the General Hospital of Ningxia Medical University were included in this study. The cognitive function of the patients was evaluated by the Mini-mental State Examination (MMSE) scale and patients were divided into cognitive impairment group and normal cognitive function group according to the MMSE. Single factor and logistic regression analysis were used to find the differences of influencing factors between the two groups.Results① There were 27 cases of cognitive dysfunction in 101 patients with epilepsy, the incidence of cognitive impairment was 26.7%; ② Univariate analysis showed that the course of disease, frequency of seizures, seizure forms, anti-epileptic drugs (AEDs) and abnormal rate of electroencephalogram (EEG) existed significant differences between the two groups (P<0.05). ③ Logistic regression showed that course of disease, frequency of seizures and AEDs multidrug therapy were independent risk factors for cognitive dysfunction in patients with epilepsy (P<0.05).ConclusionCourse of disease, frequency of seizures and AEDs multidrug therapy are independent risk factors for cognitive dysfunction in patients with epilepsy.