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.
Acute exacerbation of idiopathic pulmonary fibrosis (AE-IPF) is defined as an acute and clinically significant respiratory deterioration characterized by evidence of new, widespread alveolar abnormality. In the past, AE-IPF was considered to be idiopathic, which was hard to be prevented and its prognosis was hard to be obviously improved; the latest researches have shown that AE-IPF can be triggered by known causes, including pulmonary infection, aspiration, etc. This review summarizes the etiology or risk factors, treatment and prevention of AE-IPF according to the latest researches.
ObjectiveTo systematically review the predictors of enteral nutrition feeding intolerance in critically ill patients. MethodsThe PubMed, Web of Science, Cochrane Library, Embase, CNKI, WanFang Data, VIP and CBM databases were searched to collect relevant observational studies from the inception to 6 August, 2022. Two reviewers independently screened the literature, extracted data, and assessed the risk of bias of the included studies. Meta-analysis was then performed using RevMan 5.4 software. ResultsA total of 18 studies were included, including 28 847 patients. The results of the meta-analysis showed that gender, age, severity of illness, hypo-albuminemia, length of stay, postpyloric feeding, mechanical ventilation and mechanical ventilation time, use of prokinetics, use of sedation drugs, use of vasoactive drugs and use of antibiotics were predictors of enteral nutrition feeding intolerance in critically ill patients, among which postpyloric feeding (OR=0.46, 95%CI 0.29 to 0.71, P<0.01) was a protective factor. ConclusionAccording to the influencing factors, the medical staff can formulate a targeted enteral nutrition program at the time of admission to the ICU to reduce the occurrence of feeding intolerance. Due to the limited quantity and quality of the included studies, more high-quality studies are needed to verify the above conclusion.
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 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.
ObjectiveTo systematically review the risk factors for knee osteoarthritis among Chinese population.MethodsCNKI, WanFang Data, PubMed and EMbase databases were electronically searched to collect studies related to risk factors for knee osteoarthritis in Chinese population from January 2005 to November 2020. Two reviewers independently screened literature, extracted data and assessed risk of bias of included studies; meta-analysis was then performed using RevMan 5.4 software.ResultsA total of 18 studies involving 46 375 patients were included. The results of meta-analysis showed that body mass index (BMI)≥28 kg/m2 (OR=1.78, 95%CI 1.47 to 2.14, P<0.000 1), females (OR=2.20, 95%CI 1.98 to 2.45, P<0.000 1), family history of osteoarthritis (OR=3.56, 95%CI 1.88 to 6.73, P<0.000 1), age≥60 years old (OR=1.42, 95%CI 1.26 to 1.59, P<0.000 1), history of joint trauma (OR=4.11, 95%CI 2.85 to 5.93, P<0.000 1), manual labor (OR=1.57, 95%CI 1.32 to 1.86, P<0.000 1), heavy housework (OR=1.63, 95%CI 1.20 to 2.22, P<0.000 1), humid environment (OR=4.33, 95%CI 2.99 to 6.29, P<0.000 1), drinking habit (OR=1.69, 95%CI 1.21 to 2.36, P=0.002), non-elevator building (OR=1.78, 95%CI 1.18 to 2.70, P=0.006), joint load (OR=9.14, 95%CI 3.05 to 27.45, P<0.000 1), cold environment (OR=2.13, 95%CI 1.32 to 3.44, P=0.002), and habit of sitting cross-legged (OR=7.56, 95%CI 1.74 to 32.79, P=0.007) were risk factors for knee osteoarthritis among Chinese population.ConclusionsControlling and reducing weight, preventing knee injuries, keeping joints warm, controlling alcohol consumption, improving humid and cold living environment, appropriately reducing heavy physical labor, reducing joint weight, and changing the habit of sitting cross-legged can prevent the occurrence of knee osteoarthritis.
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 To study the influence factors of surgical site infection (SSI) after hepatobiliary and pancreatic surgery.
Methods Fifty patients suffered from SSI after hepatobiliary and pancreatic surgery who treated in Feng,nan District Hospital of Tangshan City from April 2010 and April 2015 were retrospectively collected as observation group, and 102 patients who didn’t suffered from SSI after hepatobiliary and pancreatic surgery at the same time period were retrospectively collected as control group. Then logistic regression was performed to explore the influence factors of SSI.
Results Results of univariate analysis showed that, the ratios of patients older than 60 years, combined with cardiovascular and cerebrovascular diseases, had abdominal surgery history, had smoking history, suffered from the increased level of preoperative blood glucose , suffered from preoperative infection, operative time was longer than 180 minutes, American Societyof Anesthesiologists (ASA) score were 3-5, indwelled drainage tube, without dressing changes within 48 hours after surgery, and new injury severity score (NISS) were 2-3 were higher in observation group (P＜0.05). Results of logistic regression analysis showed that, patients had history of abdominal surgery (OR=1.92), without dressing changes within 48 hours after surgery (OR=2.07), and NISS were 2-3 (OR=2.27) had higher incidence of SSI (P＜0.05).
Conclusion We should pay more attention on the patient with abdominal surgery history and with NISS of 2-3, and give dressing changes within 48 hours after surgery, to reduce the incidence of SSI.
