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.
Objective To systematically review risk prediction models of in-hospital cardiac arrest in patients with cardiovascular disease, and to provide references for related clinical practice and scientific research for medical professionals in China. Methods Databases including CBM, CNKI, WanFang Data, PubMed, ScienceDirect, Web of Science, The Cochrane Library, Wiley Online Journals and Scopus were searched to collect studies on risk prediction models for in-hospital cardiac arrest in patients with cardiovascular disease from January 2010 to July 2022. Two researchers independently screened the literature, extracted data, and evaluated the risk of bias of the included studies. Results A total of 5 studies (4 of which were retrospective studies) were included. Study populations encompassed mainly patients with acute coronary syndrome. Two models were modeled using decision trees. The area under the receiver operating characteristic curve or C statistic of the five models ranged from 0.720 to 0.896, and only one model was verified externally and for time. The most common risk factors and immediate onset factors of in-hospital cardiac arrest in patients with cardiovascular disease included in the prediction model were age, diabetes, Killip class, and cardiac troponin. There were many problems in analysis fields, such as insufficient sample size (n=4), improper handling of variables (n=4), no methodology for dealing with missing data (n=3), and incomplete evaluation of model performance (n=5). Conclusion The prediction efficiency of risk prediction models for in-hospital cardiac arrest in patients with cardiovascular disease was good; however, the model quality could be improved. Additionally, the methodology needs to be improved in terms of data sources, selection and measurement of predictors, handling of missing data, and model evaluations. External validation of existing models is required to better guide clinical practice.
ObjectiveTo investigate the establishment of a risk nomogram model for predicting vagus excitatory response in patients with functional epilepsy after radiofrequency thermocoagulation.MethodsA total of 106 patients with epilepsy admitted to the neurosurgery department of our hospital from January 2016 to June 2020 were selected and divided into the Vagus excitatory response (VER) group and the non-VER group according to their occurrence or absence. Logistic regression analysis was used to screen out the risk factors of VER during SEEG-guided Percutaneous radiofrequency thermocoagulation (PRFT) in patients with functional epilepsy, and R software was used to establish a histogram model affecting VER in SEEG-guided PRFT. Bootstrap method was used for internal verification. C-index, correction curve and ROC curve were used to evaluate the prediction ability of the model.ResultsLogistic regression analysis showed that age [OR=0.235, 95%CI (0.564, 3.076)], preoperative fugl-meyer score [OR=4.356, 95%CI (1.537, 6.621)], depression [OR=0.995, 95%CI (1.068, 7.404)], and lesion range [OR=1.512, 95%CI (0.073, 3.453)] were independent risk factors for the occurrence of VER in PRFT under the guidance of SEEG (P<0.05), and were highly correlated with the occurrence of VER in PRFT. Based on the above six indicators, a SEEG-guided colograph model of VER risk in PRFT was established, and the model was validated internally. The results showed that the C-index of the modeling set and validation set were 0.779 [95%CI (0.689, 0.869)] and 0.782 [95%CI (0.692, 0.872)], respectively. The calibration curves of the two groups fit well with the standard curves. The areas under the ROC curve (AUC) of the two groups were 0.779 and 0.782 respectively, which proved that the model had good prediction accuracy.ConclusionFor patients with functional epilepsy requiring seeg-guided PRFT therapy, age, preoperative Fugl-meyer score, depression and lesion range should be taken into full consideration to comprehensively assess the incidence of VER, and early intervention measures should be taken to reduce and reduce the incidence, which has good clinical application value.
ObjectiveTo explore the nutritional status of inpatients with chronic kidney disease (CKD) and analyze the factors affecting nutritional risk, to provide theoretical basis for further nutritional support.MethodsConvenience sampling method was adopted to select 719 inpatients with CKD as research subjects in a tertiary hospital in Chengdu, Sichuan Province from January to March 2018. Nutritional Risk Screening 2002 was used for nutritional risk screening, and chi-square test, t test, one-way analysis of variance, and multiple linear regression analysis were used to explore the influencing factors of nutritional risk.ResultsAmong the 719 cases, whose average nutritional risk score was 1.79±1.11, 158 cases had nutritional risk, accounting for 22.0%. There were statistically significant differences in nutritional risk score between patients of age<60 years and ≥60 years, between males and females, between patients with CKD stage 1-3 and stage 4-5, between patients with serum albumin level <30 g/L and ≥30 g/L, and between patients with and without anaemia (P<0.05). The results of multiple linear regression analysis showed that the nutritional risk score of CKD patients was negatively correlated to serum albumin level (P=0.016), positively correlated to age (P<0.001), and higher in females than that in males (P=0.001).ConclusionsInpatients with CKD have a higher nutritional risk, with age, gender and serum albumin as the main influencing factors. Based on the above factors, the medical staff should continue to take targeted intervention measures to assess the nutritional status of CKD inpatients early and conveniently, so as to provide scientific basis for further nutritional support and nutritional nursing.
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.
Objective To analyze the risk factors for duration of mechanical ventilation in critically ill patients. Methods Ninety-six patients who received mechanical ventilation from January 2011 to December 2011 in intensive care unit were recruited in the study. The clinical data were collected retrospectively including the general condition, underlying diseases, vital signs before ventilation, laboratory examination, and APACHEⅡ score of the patients, etc. According to ventilation time, the patients were divided into a long-term group ( n = 41) and a short-term group ( n = 55) . Risk factors were screened by univariate analysis, then analyzed by logistic regression method.Results Univariate analysis revealed that the differences of temperature, respiratory index, PaCO2 , white blood cell count ( WBC) , plasma albumin ( ALB) , blood urea nitrogen ( BUN) , pulmonary artery wedge pressure ( PAWP) , APACHEⅡ, sex, lung infection in X-ray, abdominal distention, and complications between two groups were significant.With logistic multiple regression analysis, the lower level of ALB, higher level of PAWP, lung infection in X-ray, APACHE Ⅱ score, abdominal distention, and complications were independent predictors of long-term mechanical ventilation ( P lt;0. 05) . Conclusion Early improving the nutritional status and cardiac function, control infection effectively, keep stool patency, and avoid complications may shorten the duration of mechanical ventilation in critically ill patients.
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.
ObjectiveTo systematically review the risk factors leading to postoperative persistence of children diagnosed with obstructive sleep apnea (OSA) after adenoidectomy and tonsillectomy. MethodsPubMed, EMbase, The Cochrane Library, ClinicalTrials.gov, CNKI, VIP, WanFang Data and SinoMed databases were electronically searched to collect case-control studies and cohort studies related to risk factors for postoperative persistence of OSA in children from inception to July 2019. Two reviewers independently screened literature, extracted data, and evaluated the risk of bias of the included studies. Meta-analysis was then performed using RevMan 5.3 software. ResultsA total of 12 cohort studies involving 1 659 OSA patients were included. Meta-analysis results showed that the risk of postoperative persistence of OSA in children with preoperative obesity was 3.47 times higher than that in non-obese children (RR=3.47, 95%CI 2.04 to 5.92, P<0.000 01). Compared with normal-weight children, obese children had 4.11 times higher risk of postoperative residual OSA (RR=4.11, 95%CI 1.68 to 10.07, P<0.000 01).ConclusionsPreoperative obesity is a risk factor for postoperative persistence of OSA in children. Due to the limited quantity and quality of included studies, more high-quality studies are needed to verity the above conclusions.
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.
【Abstract】ObjectiveTo investigate the relevant factors for fungal infection following pancreatoduodenectomy and offer the theoretical foundation for preventing the emergence of complications after operation． MethodsMedical records from 562 consecutive patients who underwent pancreatoduodenectomy in this hospital from 1995 to 2005 were retrospectively reviewed by using single factor and noncondition Logistic regression analyse. Results①Seventyeight patients (13.9%) developed invasive fungal infection. The most frequently isolated fungal were Candida albicans accounted for 67.0%， and followed by Candida glabrata, Candida papasilosis and Candida tropicalis and gastrointestinal tract was the most common infection site, followed by respiratory tract, abdominal cavity. ②Fungal infection occurred significantly more often in patients with the length of time in parenteral nutrition, antibiotic use or abdominal cavity complications. Conclusion The most common infection site and isolated fungal associated with pancreatoduodenectomy were gastrointestinal tract and Candida albicans. Abdominal cavity complications such as pancreatic fistula， biliary fistula and abdominal infection and extended use parenteral nutrition and antibiotic are the most important factors leading to invasive fungal infection after pancreatoduodenctomy. Eliminating the various risk factors will decrease the incidence of fungal infection.