Objective
To establish a model for prognosis analysis of severe community-acquired pneumonia in order to find the independent risk factors for mortality.
Methods
The data of 88 patients with severe community-acquired pneumonia enrolled from 533 community-acquired pneumonia patients in Fujian Provincial Hospital from April 2012 to December 2015 were analyzed, they were divided into a survival group and a death group according to prognosis. The clinical materials of basic data of the population, clinical manifestation, treatment and prognosis and pulmonary severity indexes were collected. Then univariate analysis was used to screen risk factors of death before logistic multivaritae regression was applied to explore independent risk factors.
Results
The different pathogen groups including viral, bacterial, mixed infection, negative and other groups were compared and no differences were found in mortality (all P>0.05). Univariate analysis revealed antibiotics treatment before admission, higher APACHEⅡ score, higher Chalison's score, septicopyemia, and higher level of procalcitonin, blood urea nitrogen (BUN), blood glucose, lactate could increase death risk for the patients. While antiviral treatment and no invasive mechanical ventilation were determined as protective factors. Logistic multivaritae regression showed three factors including higher lactate and higher serum BUN and higher heart rates were independent death risk factors [OR values were 4.704 (95%CI 0.966-22.907), 1.264 (95%CI 0.994-1.606), and 1.081 (95%CI 1.003-1.165), respectively]. Whereas no invasive mechanical ventilation was protective factor (OR=0.033, 95%CI 0.001-0.764).
Conclusion
The patients with higher lactate and BUN, higher heart rate and accepting invasive mechanical ventilation have poor prognosis.
ObjectiveTo investigate the prevalence of impaired glucose regulation (IGR) and IGR combined with cardiovascular risk factors in rural areas of Chengdu City.
MethodsFrom February to October 2010, we randomly sampled 1 016 patients in a rural community 100 kilometers away from the city center as the study subjects. The investigation was carried out by using questionnaire survey, physical examination and laboratory tests. The standard 75 g oral glucose tolerance test was used.
ResultsA total of 1 016 subjects were investigated, among whom there were 431 males and 585 females with an average age of 56 years old. Of these subjects, 333 were diagnosed to have IGR with a rate of 32.77% (333/1 016). The age-adjusted standardized prevalence of pre-diabetes in rural areas in Chengdu was 32.52% (336/1 016), and the male and female prevalence were respectively 30.63% (132/431) and 34.36% (201/585) without significant difference (χ2=1.569，P=0.210). Impaired glucose tolerance (IGT) was the most common type of glycometabolism abnormality. Women had a significantly higher prevalence of IGT than men. In IGR population, major cardiovascular risk factors were overweight and obesity (40.8%), high low density lipoprotein cholesterol (38.4%), high triglyceride (30.3%), hypertension (23.7%), smoking (24.3%), and drinking alcohol (23.7%). The stratified analysis showed that the prevalence of overweight, obesity and low high density lipoprotein cholesterol in female was significantly higher than that in males, while the prevalence of smoking and drinking alcohol was significantly higher in males.
ConclusionIn rural areas, the prevalence of pre-diabetes is high and complicated with multiple cardiovascular risk factors.
ObjectiveTo analyze the risk factors for complications after robotic segmentectomy.MethodsClinical data of 207 patients undergoing robot-assisted anatomical segmentectomy in our hospital from June 2015 to July 2019 were retrospectively analyzed, including 69 males and 138 females with a median age of 54.0 years. The relationship between clinicopathological factors and prolonged air leakage, pleural effusion, and pulmonary infection after surgery was analyzed.ResultsAfter robot-assisted segmentectomy, 20 (9.7%) patients developed prolonged air leakage (>5 d), 17 (8.2%) patients developed pleural effusion, and 4 (1.9%) patients developed pulmonary infection. Univariate logistic regression showed that body mass index (BMI, P=0.018), FEV1% (P=0.024), number of N1 lymph nodes resection (P=0.008) were related to prolonged air leakage after robot-assisted segmentectomy. Benign lesion was a risk factor for pleural effusion (P=0.013). The number of lymph node sampling stations was significantly related to the incidence of pulmonary infection (P=0.035). Multivariate logistic analysis showed that the BMI (OR=0.73, P=0.012) and N1 lymph node sampling (OR=1.38, P=0.001) had a negative and positive relationship with prolonged air leakage after robot-assisted segmentectomy, respectively.ConclusionThe incidence of pulmonary complications after robot-assisted segmentectomy is low. The lower BMI and more N1 lymph node sampling is, the greater probability of prolonged air leakage is. Benign lesions and more lymph node sampling stations are risk factors for pleural effusion and lung infection, respectively. Attention should be paid to the prevention and treatment of perioperative complications for patients with such risk factors.
ObjectiveTo quest the risk factors of poor prognoses in children with tetralogy of Fallot (TOF) during perioperative period and evaluate its clinical application values.MethodsA retrospective analysis of the clinical data of 119 children who underwent one-stage correction of TOF in Guangdong Provincial People's Hospital from September 2016 to January 2019. The cohort includes 75 males and 44 females, with ages ranging from 3.2-137.1 (13.2±1.4) months and weights ranging from 4.6-21.0 (8.3±0.2) kg. Perioperative poor prognosis was defined as duration of mechanically assisted ventilation >48 h or secondary intubation, vasoactive-inotropic score (VIS) within 48 h >40, postoperative length of stay >14 d, and the occurrence of the major adverse events. Major adverse events were defined as early death, malignant arrhythmia, low cardiac output syndrome, non-fatal cardiac arrest, postoperative reintervention, diaphragm paralysis, and other clinical complications. Univariate and multivariate logistic analyses were used to analyze the correlation between risk factors and poor prognoses.ResultsThere was 1 perioperative death, and 9 with major adverse events. Variables selected by Least Absolute Shrinkage and Selection Operator (LASSO) included 2 preoperative variables (McGoon index, aortic root diameter index) and 4 intra-operative variables [left-right direction of bicuspid pulmonary valve, total length of right ventricular outflow tract (RVOT) incision index, pulmonary valve with commissurotomy, and minimum temperature in cardiopulmonary bypass (CPB)]. Univariate and multivariate logistic analyses were used to the above factors, respectively. The variables with statistical significance (P≤0.05) were McGoon index, aortic root diameter index, left-right direction of bicuspid pulmonary valve, and minimum temperature in CPB. A nomogram was established based on the above factors, and the results showed that the left-right direction of bicuspid pulmonary valve was more risky than the tricuspid pulmonary valve and the anterior-posterior direction of bicuspid pulmonary valve. The lower the McGoon index, the higher aortic root diameter, and the lower temperature in CPB, the higher risk of poor prognostic events in children with TOF.ConclusionThe left-right direction of the pulmonary bicuspid valve has a higher risk of poor prognosis than the tricuspid pulmonary valve and the anterior-posterior direction of bicuspid pulmonary valve. With the smaller McGoon index and the larger aortic root diameter, the risk of poor prognoses in children with TOF is higher. The temperature in CPB being lower than medium-low temperature obviously relates to the high incidence of poor prognostic events, which can be used as an auxiliary reference standard for decision-making in pediatric TOF surgery in the future.
ObjectiveTo investigate the association of arterial stiffness with cardiovascular risk factors.
MethodsFrom July 2014 to August 2015, 1 599 participants aged over 65 years old were recruited from 10 communities located in the northern Shanghai. Carotid-femoral pulse wave velocity (cf-PWV) was measured by SphygmoCor device. Cardiovascular risk factors were assessed by questionnaire, anthropometry or conventional biochemical measurements. SPSS 20.0 was applied for data management and statistical analysis.
ResultsCf-PWV was significantly associated with cardiovascular risk factors (P<0.001). Moreover, with the accumulating cardiovascular risk factors, cf-PWV increased gradually and significantly (P<0.001). The increasing trend remained significant in all participants, in men and in women, respectively.
ConclusionArterial stiffness is significantly associated with cardiovascular risk factors and their accumulation.
ObjectiveTo systematically evaluate the efficacy and safety of Polypill on cardiovascular risk factors.
MethodSuch databases as Embase, Cochrane Library, PubMed, Web of Science, China National Knowledge Infrastracture, WanFang, and China Biology Medicine Disc were searched from their establishment to May 2015 for randomized controlled trials on the efficacy and safety of Polypillon on cardiovascular risk factors. Meta-analyses were performed by using the RevMan 5.2 software.
ResultsSix studies were included which all came from overseas including 1 155 patients treated with Polypill and 1 149 treated with placebo or single or combined medicaiton. The meta-analysis showed that:when compared with the controls, Polypills could significantly reduce systolic blood pressure[WMD=-9.39 mm Hg (1 mm Hg=0.133 kPa), 95%CI (-14.44, -4.33) mm Hg, P=0.0003], diastolic blood pressure[WMD=-5.32 mm Hg, 95%CI (-8.10, -2.55) mm Hg, P=0.0002], total cholesterol[WMD=-1.11 mmol/L, 95%CI (-1.48, -0.74) mmol/L, P<0.00001], and low density lipoprotein[WMD=-0.91 mmol/L, 95%CI (-1.25, -0.57) mmol/L, P<0.00001]. However, those who took Polypill were easier to discontinue medication [OR=1.49, 95%CI (1.19, 1.87), P=0.0005]. In the respect of adverse effects, there was no significant difference between the two groups[OR=1.47, 95%CI (0.67, 3.25), P=0.34].
ConclusionsThe efficacy of Polypill on cardiovascular risk factors is obvious. Polypills can significantly reduce blood pressure and lipids. Tolerability is lower in those taking Polypills, but the difference is minor. There is no significant difference in the respect of adverse effects.
ObjectiveTo analyze the characteristics and risk factors of lymph node metastasis in thoracic esophageal squamous cell carcinoma (ESCC).MethodsThe clinical data of 407 patients with ESCC who underwent radical resection of esophageal carcinoma from December 2012 to October 2018 in our hospital were retrospectively analyzed. There were 390 males and 17 females with a median age of 63 (38-82) years. Esophageal lesions were found in 26 patients of upper thoracic segment, 190 patients of middle thoracic segment and 191 patients of lower thoracic segment. ResultsAmong the patients, 232 (57.0%) were found to have cervical, thoracic and/or abdominal lymph node metastasis. The lymphatic metastasis rates of cervical, upper, middle, lower mediastinal nodes and abdominal nodes were 0.7%, 8.8%, 21.4%, 16.7% and 37.1%, respectively. The adjacent lymph node metastasis alone occurred in 50.0% patients, and the multistage or skip lymph node metastasis accounted for 29.3% and 20.7%, respectively. Multivariate analysis showed that the length of esophageal lesion, T stage, degree of tumor differentiation, vascular cancer embolus and nerve invasion were independent risk factors for lymph node metastasis.ConclusionThe rates of lymph node metastasis are similar in the upper, middle and lower thoracic ESCC. The main pattern of lymph node metastasis is the adjacent lymph node metastasis, followed by multistage and skip lymph node metastases. The length of esophageal lesion, T stage, degree of tumor differentiation, vascular cancer embolus and nerve invasion are independent factors for lymph node metastasis. The operation and dissection range should be selected according to the location of tumor and the characteristics of the lesion.
ObjectiveTo systematically summarize the research progress in risk prediction models for postoperative anastomotic leakage in gastric cancer, and to explore the advantages and limitations of models constructed using traditional statistical methods and machine learning, thereby providing a theoretical basis for clinical precision prediction and early intervention. MethodBy analyzing domestic and international literature, the construction strategies of logistic regression, least absolute shrinkage and selection operator (LASSO) regression, and machine learning models (support vector machine, random forest, deep learning) were systematically reviewed, and their predictive performance and clinical applicability were compared. ResultsThe traditional logistic regression and LASSO regression models performed excellently in terms of interpretability and in small-sample scenarios but were limited by linear assumptions. The machine learning models significantly enhanced predictive capabilities for complex data through non-linear modeling and automatic feature extraction, but required larger data scales and had higher demands for interpretability. ConclusionsDifferent prediction models have their own advantages and limitations; in practical clinical applications, they should be flexibly selected or complementarily applied based on specific scenarios. Current anastomotic leakage prediction models are evolving from single factor analysis to multi-modal dynamic integration. Future efforts should combine artificial intelligence and multi-center prospective clinical studies to validate, so advancing the development of precise and individualized anastomotic leakage predictive tools for patients after gastric cancer resection.
ObjectiveTo conduct a systematical evaluation and meta-analysis of the relation between serum total cholesterol (TC) level and the risk of gastric cancer. MethodsThe PubMed, Embase, Web of Science, and Cochrane Library databases were searched from inception to March 5, 2023. Two independent reviewers performed the literature search, identification, and screening, as well as performed the quality assessment and data extraction. ResultsA total of 12 studies with 5 143 671 participants and 40 551 patients with gastric cancer were included in the meta-analysis. The results of meta analysis showed that 9 studies reported that the elevated serum TC level decreased the risk of gastric cancer [OR (95%CI) was 0.91 (0.85, 0.98)], and 5 studies reported that the decreased serum TC level increased the risk of gastric cancer [OR (95%CI) was 1.93 (1.17, 3.18)]. Also the results of the subgroup analyses showed that the decreased serum TC level increased the risk of gastric cancer in the studies with cohort study, larger overall sample sizes and gastric cancer sample sizes, with longer duration of follow-up, and in those with habits of alcohol and smoking [0.89 (0.87, 0.92), 0.90 (0.87, 0.94), 0.90 (0.87, 0.93), 0.86 (0.82, 0.90), 0.90 (0.87, 0.93), and 0.90 (0.87, 0.93), respectively] , which was consistent with the overall results. In contrast, there was no statistical difference in the relation between the elevated serum TC level decreased the risk of gastric cancer between male and female patients in the gender subgroup. ConclusionsThe results of this systematical evaluation and meta-analysis suggest that serum TC level [135–294 mg/dL (3.49–7.62 mmol/L)] may be a protective factor for gastric carcinogenesis. The risk of gastric carcinogenesis may be increased when serum TC level decreases, and this change is a long-term and insidious process.
Objective To identify risk factors for death in patients with rhabdomyolysis-induced acute kidney injury (RI-AKI) treated with continuous renal replacement therapy (CRRT), then to develop and validate the efficacy of prediction models based on these risk factors. Methods Clinical data and prognostic information of patients with RI-AKI requiring CRRT from 2008 to 2019 were extracted from the MIMIC-IV 2.2 database. The enrolled patients were divided into a training set and a test set at a ratio of 7∶3. LASSO regression, random forest (RF) and extreme gradient boosting (XGBoost) were used to identify the risk factors affecting patients’ 28-day survival in the training set, then to develop logistic model, RF model, support vector machine (SVM) model and XGBoost model. The accuracy of above prediction models and the area under the receiver operating characteristic curve (AUC) were calculated in the test set. Results A total of 175 patients were included. Lactic acid, age, Acute Physiology Score Ⅲ, hemoglobin, mean arterial pressure and body mass index measured at intensive care unit admission were identified as the six risk factors affecting 28-day survival of enrolled patients by LASSO regression, RF and XGBoost. The accuracy of the logistic model, RF model, SVM model and XGBoost model in the test set was 0.75, 0.79, 0.79 and 0.81, with the AUC of 0.82, 0.85, 0.87 and 0.87, respectively. Conclusion The XGBoost model, incorporating six risk factors including lactic acid, age, Acute Physiology Score Ⅲ, hemoglobin, mean arterial pressure, and body mass index assessed at the time of admission to the intensive care unit, demonstrates superior clinical predictive performance, thereby enhancing the clinical decision-making process for healthcare professionals.
