ObjectiveTo investigate the risk factors affecting the occurrence of infectious complications after radical gastrectomy for gastric cancer, and to establish a risk prediction Nomogram model. MethodsThe clinicopathologic data of 429 primary gastric cancer patients who underwent radical resection for gastric cancer at the Second Department of General Surgery of Shaanxi Provincial People’s Hospital between January 2018 and December 2020 were retrospectively collected to explore the influencing factors of infectious complications using multivariate logistic regression analyses, and to construct a prediction model based on the results of the multivariate analysis, and then to further validate the differentiation, consistency, and clinical utility of the model. ResultsOf the 429 patients, infectious complications occurred in 86 cases (20.05%), including 53 cases (12.35%) of pulmonary infections, 16 cases (3.73%) of abdominal infections, 7 cases (1.63%) of incision infections, and 10 cases (2.33%) of urinary tract infections. The results of multivariate logistic analysis showed that low prognostic nutritional index [OR=0.951, 95%CI (0.905, 0.999), P=0.044], long surgery time [OR=1.274, 95%CI (1.069, 1.518), P=0.007], American Society of Anesthesiologists physical status classification (ASA) grade Ⅲ–Ⅳ [OR=9.607, 95%CI (4.484, 20.584), P＜0.001] and alcohol use [OR=3.116, 95%CI (1.696, 5.726), P＜0.001] were independent risk factors for the occurrence of infectious complications, and a Nomogram model was established based on these factors, with an area under the ROC of 0.802 [95%CI (0.746, 0.858)]; the calibration curves showed that the probability of occurrence of infectious complications after radical gastrectomy predicted by the Nomogram was in good agreement with the actual results; the decision curve analysis showed that the Nomogram model could obtain clinical benefits in a wide range of thresholds and had good practicality.ConclusionsClinicians need to pay attention to the perioperative management of gastric cancer patients, fully assess the patients’ own conditions through the prediction model established by prognostic nutritional index, surgery time, ASA grade and alcohol use, and take targeted interventions for the patients with higher risks, in order to reduce the risk of postoperative infectious complications.
ObjectiveTo analyze the prevalence and risk factors of metabolic syndrome (MS) after adult liver transplantation (LT) recipients. MethodsThe clinicopathologic data of patients with survival time ≥1 year underwent LT in the People’s Hospital of Zhongshan City from January 1, 2015 to August 31, 2020 were analyzed retrospectively. The logistic regression model was used to analyze the risk factors affecting MS occurrence after LT, and the receiver operating characteristic (ROC) curve was used to evaluate the optimal cutoff value of the index of predicting MS occurrence and its corresponding evaluation effect. ResultsA total of 107 patients who met the inclusion criteria were collected in this study. Based on the diagnostic criteria of MS of Chinese Medical Association Diabetes Association, the occurrence rate of MS after LT was 32.7% (35/107). Multivariate logistic regression analysis showed that the increased age of the recipient [OR (95%CI)=1.106 (1.020, 1.199), P=0.014], preoperative increased body mass index [OR (95%CI)=1.439 (1.106, 1.872), P=0.007] and blood glucose level [OR (95%CI)=1.708 (1.317, 2.213), P<0.001], and with preoperative smoking history [OR (95%CI)=5.814 (1.640, 20.610), P=0.006] and drinking history [OR (95%CI)=5.390 (1.454, 19.984), P=0.012] increased the probability of MS after LT. The areas under the ROC curve (AUC) corresponding to these five indexes were 0.666, 0.669, 0.769, 0.682, and 0.612, respectively. The corresponding optimal cutoff values of three continuous variables (recipient’s age, preoperative body mass index, and blood glucose level) were 53 years old, 23.1 kg/m2, and 6.8 mmol/L, respectively. The AUC of combination of the above five indexes in predicting occurrence of MS was 0.903 [95%CI (0.831, 0.952)], and the sensitivity and specificity were 80.0% and 90.3%, respectively. ConclusionsIncidence of MS after adult LT recipient is not low. For recipients with preoperative hyperglycemia, obese, elderly, histories of drinking and smoking before LT need to pay attention to the early detection and early intervention of MS.
Objective To explore the clinical and inflammatory characteristics and risk factors of severe asthma to improve clinicians' awareness of the disease. Methods The general information of patients with asthma who visited the Department of Respiratory Medicine, the First Hospital of Shanxi Medical University from May 2018 to May 2021, as well as the diagnosis and treatment of asthma, personal history, comorbidities, auxiliary examination, asthma control test (ACT) score were collected. A total of 127 patients were included, including 40 in the severe asthma group and 87 in the mild-to-moderate asthma group. Chi-square test, independent sample t test and logistic regression were used to analyze the clinical characteristics, inflammatory markers and risk factors of severe asthma. Results Compared with the patients with mild to moderate asthma, the patients with severe asthma were more older (51.0±12.0 years vs 40.7±12.8 years, P<0.05), had more smokers (32.5% vs. 14.9%, P<0.05), and more males (67.5% vs. 40.2%, P<0.05). The patients with severe asthma got poor FEV1%pred [(56.1±23.8)% vs. (93.2±18.0)%, P<0.05] and FEV1/FVC [(56.7±13.2)% vs. (75.8±9.0)%, P<0.05)], and more exacerbations in the previous year (2.7±3.1 vs. 0.1±0.4, P<0.05), lower ACT score (14.4±3.7 vs. 18.0±5.0, P<0.05), and higher blood and induced sputum eosinophil counts [(0.54±0.44)×109/L vs. (0.27±0.32)×109/L, P<0.05; (25.9±24.2)% vs. (9.8±17.5)%, P<0.05]. There was no significant difference in the proportion of neutrophils in the induced sputum or FeNO between the two groups (P>0.05). Analysis of related risk factors showed that smoking (OR=2.740, 95%CI 1.053 - 7.130), combined with allergic rhinitis (OR=14.388, 95%CI 1.486 - 139.296) and gastroesophageal reflux (OR=2.514, 95%CI 1.105 - 5.724) were risk factors for severe asthma. Conclusions Compared with patients with mild to moderate asthma, patients with severe asthma are characterized by poor lung function, more exacerbations, and a dominant eosinophil inflammatory phenotype, which is still poorly controlled even with higher level of treatment. Risk factors include smoking, allergic rhinitis, and gastroesophageal reflux, etc.
Objective A comparative study of in-hospital mortality and risk factors of ventilator-associated pneumonia (VAP) caused by carbapenem-resistant gram-negative bacteria (CRGNB) and non-carbapenem-resistant gram-negative bacteria (nCRGNB) in China was conducted to investigate whether there is a higher in-hospital mortality of VAP caused by CRGNB and its unique associated risk factors. Methods Relevant literatures published at home and abroad in PubMed, EMBASE, Cochrane library, Web of Science, CNKI and Wanfang databases were retrieved from the date of establishment to June 1, 2021, and the quality of the included literatures was evaluated using Newcastle-Ottawa scale. Meta-analysis of literatures meeting the criteria was performed using RevMan 5.3 software. Results A total of 5 literatures were included, all of which were case-control studies with a total of 574 cases, including 302 cases in the CRGNB group and 272 cases in the nCRGNB group. The results showed that the in-patient mortality of VAP caused by CRGNB infection was significantly increased compared with that of VAP caused by nCRGNB infection (OR=2.51, 95%CI 1.71 - 3.67, P<0.00001). Risk factor analysis of CRGNB infection showed that statistically significant risk factors included mechanical ventilation duration ≥7 days (OR=2.66, 95%CI 1.23 - 5.75, P=0.01), secondary intubation (OR=4.48, 95%CI 2.61 - 7.69], P<0.00001), combined with antibiotics (OR=2.83, 95%CI 1.76 - 4.54, P<0.0001), using carbapenem antibiotics (OR=2.78, 95%CI 1.76 - 4.40, P<0.0001). In addition, two studies showed that tigecycline was sensitive to CRGNB in vitro. Conclusions Compared with nCRGNB-induced VAP, CRGNB infection significantly increases the in-hospital mortality of VAP patients in China, indicating that the in-hospital mortality of CRGNB infection is related to drug resistance, and had little relationship with region and drug resistance mechanism. Among them, mechanical ventilation duration ≥7 days, secondary intubation, combined use of antibiotics and carbapenem antibiotics are risk factors for CRGNB infection in VAP patients. Tigecycline is sensitive to most CRGNB strains in China and is an important choice for the treatment of CRGNB in China.
Dysphagia is a common non-motor symptom in Parkinson’s disease (PD), with a high incidence and insidious progression. It can lead to complications such as dehydration, malnutrition, aspiration pneumonia, and even death, seriously affecting the quality of life and prognosis of patients. Therefore, early screening, assessment, and intervention are crucial for improving the quality of life and prognosis of PD patients with dysphagia. This article mainly reviews the risk factors and management strategies of dysphagia in PD, with the aim of providing a reference for healthcare professionals to conduct subsequent evaluations and develop targeted interventions.
In recent years, the incidence rate of ischemic stroke in people living with HIV/AIDS (PLWHA) is increasing, attracting wide attention from scholars at home and abroad. In addition to traditional risk factors of stroke, the secondary ischemic stroke in PLWHA is also affected by HIV infection. This study reviews the incidence rate and risk factors of secondary ischemic stroke in PLWHA, in order to provide a theoretical basis for preventing and reducing the incidence of ischemic stroke in PLWHA.
Objective To investigate the risk factors for Carbapenem-resistant Klebsiella pneumoniae (CRKP) infections, and construct a clinical model for predicting the risk of CRKP infections. Methods A retrospective analysis was performed on Klebsiella pneumoniae infection patients hospitalized in the Third Hospital of Hebei Medical University from May 2020 to May 2021. The patients were divided into a CRKP group (117 cases) and a Carbapenem-sensitive Klebsiella pneumoniae (CSKP) group (191 cases). The predictors were screened by full subset regression using R software (version 4.3.1). The truncation values of continuous data were determined by Youden index. Nomogram and score table model for CRKP infections risk prediction was constructed based on binary logistic regression. The receiver operator characteristic (ROC) curve and area under curve (AUC) were used to evaluate the accuracy of models. Calibration curve and decision curve were used to evaluate the performance of models. Results308 patients with Klebsiella pneumoniae infections were included. A total of 8 predictors were selected by using full subset regression and truncation values were determined according to Youden index: intensive care unit (ICU) stay at time of infection>2 days, male, acute physiology and chronic health evaluation Ⅱ (APACHEⅡ) score>15 points, hospitalization stay at time of infection>10 days, any history of Gram-negative bacteria infection in the last 6 months, heart disease, lung infection, antibiotic exposure history in the last 6 months. The AUC of CRKP prediction risk curve model was 0.811 (95%CI 0.761 - 0.860). When the optimal cut-off value of the constructed CRKP prediction risk rating table was 6 points, the AUC was 0.723 (95%CI 0.672 - 0.774). The Bootstrap method was used for internal repeated sampling for 1000 times for verification. The model calibration curve and Hosmer-Lemeshow test (P=0.618) showed that these models have good calibration degree. The decision curve showed that these models have good clinical effectiveness. Conclusion The prediction model of CRKP infections based on the above 8 risk factors can be used as a risk prediction tool for clinical identification of CRKP infections.
Acute lung injury is one of the common and serious complications of acute aortic dissection, and it greatly affects the recovery of patients. Old age, overweight, hypoxemia, smoking history, hypotension, extensive involvement of dissection and pleural effusion are possible risk factors for the acute lung injury before operation. In addition, deep hypothermia circulatory arrest and blood product infusion can further aggravate the acute lung injury during operation. In this paper, researches on risk factors, prediction model, prevention and treatment of acute aortic dissection with acute lung injury were reviewed, in order to provide assistance for clinical diagnosis and treatment.
ObjectiveTo analyze the risk factors for esophagogastric anastomotic leakage (EGAL) after esophageal cancer surgery, and to establish a risk prediction model for early prevention and treatment.MethodsClinical data of patients undergoing esophagectomy in our hospital from January 2013 to October 2020 were retrospectively analyzed. The independent risk factors for postoperative EGAL were analyzed by univariate and multivariate logistic regression analyses, and a clinical nomogram prediction model was established. According to whether EGAL occurred after operation, the patients were divided into an anastomotic fistula group and a non-anastomotic fistula group.ResultsA total of 303 patiens were enrolled, including 267 males and 36 females with a mean age of 62.30±7.36 years. The incidence rate of postoperative EGAL was 15.2% (46/303). The multivariate logistic regression analysis showed that high blood pressure, chronic bronchitis, peptic ulcer, operation way, the number of lymph node dissected, anastomotic way, the number of intraoperative chest drainage tube, tumor location, no-supplementing albumin in the first three days after operation, postoperative pulmonary infection, postoperative use of bronchoscope were the independent risk factors for EGAL after esophageal cancer surgery (P<0.05). A prognostic nomogram model was established based on these factors with the area under the receiver operating characteristic curve of 0.954 (95%CI 0.924-0.975), indicating a high predictive value.ConclusionThe clinical prediction model based on 11 perioperative risk factors in the study has a good evaluation efficacy and can promote the early detection, diagnosis and treatment of EGAL.
ObjectiveTo explore the risk factors for failure of enhanced recovery after surgery (ERAS) in partial hepatectomy. MethodsA retrospective analysis was performed on 344 patients who underwent partial hepatectomy at the Division of Liver Surgery, Department of General Surgery in West China Hospital of Sichuan University from January 2019 to December 2019. All patients were treated with ERAS after partial hepatectomy. Univariate and multivariate logistic regression analysis were used to evaluate the risk factors associated with failure of the ERAS after partial hepatectomy. ResultsA total of 344 patients were included in the study, including 44 patients in the ERAS failure group and 300 patients in the ERAS success group. Multivariate logistic regression showed that combined with chronic diseases [OR=2.32, 95%CI (1.07, 4.93), P=0.03] and intraoperative fluid replacement volume ≤2 475 mL [OR=2.16, 95%CI (1.06, 4.42), P=0.03] were risk factors for failure of ERAS. ConclusionChronic diseases and intraoperative fluid volume ≤2 475 mL are risk factors for the failure of ERAS after partial hepatectomy and can affect prognosis.
