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.
ObjectiveTo understand risk factors of abdominal aortic aneurysm (AAA) rupture and the latest progress.MethodThe domestic and foreign related literatures on risk factors affecting AAA rupture were retrieved and reviewed.ResultsBesides some definite risk factors of AAA rupture, including age, gender, hypertension, smoking, family history, complications (such as diabetes mellitus, hypertension, dyslipidemia, etc.), the biomechanical factor was the crucial factor of AAA rupture, including the aortic compliance, aortic wall peak value of pressure, aortic wall calcification, and hemodynamics. The latest imaging methods such as the high resolution ultrasound, function and molecular imaging, and phase contrast magnetic resonance imaging could provide technical supports for the prediction of AAA rupture.ConclusionsThere are many risk factors affecting AAA rupture. Clinicians might prevent and make individualize treatment for AAA rupture according to its risk factors, and risks of AAA rupture could be more accurately assessed with help of new medical imaging examination.
目的 探讨乳腺癌改良根治术后影响局部复发与远处转移的相关因素。方法 对陕西省汉中市铁路中心医院略阳医院2000年3月至2007年3月期间行乳腺癌改良根治术且资料完整的637例原发性乳腺癌患者的临床资料进行回顾性分析。结果 66例（10.36%）患者术后发生局部复发和远处转移，其中局部复发50例（7.85%），远处转移16例（2.51%）；术后3～4年内发生复发与远处转移者47例（71.21%）。术后复发和远处转移与患者年龄、肿瘤大小、腋窝淋巴结转移情况、TNM分期、激素受体（ER/PR）表达情况及术后是否接受正规的辅助治疗有关，与患者有无家族史无关。结论 肿瘤大小、腋窝淋巴结转移情况、TNM分期、ER/PR表达情况及术后是否接受正规的辅助治疗是影响乳腺癌改良根治术后复发与远处转移的危险因素，重视乳腺癌术后随访，规范乳腺癌的手术方式，强化乳腺癌的综合治疗是降低乳腺癌改良根治术后复发与远处转移率的主要措施。
ObjectiveTo investigate the incidence of acute kidney injury (AKI) after deep hypothermic circulatory arrest (DHCA), to explore the risk factors and prognosis of postoperative AKI, and to establish a relatively accurate preoperative risk assessment strategy and prevention measures.MethodsThe clinical data of 252 patients who underwent deep hypothermic circulatory surgery in our hospital from January 2014 to October 2018 were retrospectively analyzed. There were 179 males and 73 females with an average age of 53.6±11.6 years. The patients were divided into an AKI group and a non-AKI group according to the AKI diagnostic criteria developed by kidney disease improving global outcomes (KDIGO). The data of the two groups were compared, and the risk factors related to AKI after DHCA were analyzed by single factor and multivariate logistic regression.ResultsAmong the 252 patients enrolled, the incidence of AKI was 69.0%. The postoperative hospital mortality rate was 7.9% (20/252). The univariate analysis showed that the patient's age and body mass index (BMI)≥28 kg/m2, left ventricular ejection fraction<55%, preoperative serum creatinine (Scr)≥110 μmol/L, preoperative estimated glomerular filtration rate (eGFR), Cleveland score and intraoperative cardiopulmonary bypass time, intraoperative infusion of red blood cells, intraoperative infusion of plasma, postoperative mechanical ventilation time≥40 h and other indicators were significantly different between the two groups (P<0.05); multivariate logistic regression analysis showed that there was significant difference between the two groups in age (OR=1.040, 95% CI 1.017–1.064, P=0.001), BMI≥28 kg/m2 (OR=2.335, 95%CI 1.093–4.990, P=0.029), eGFR<90 mL/(min·1.73 m2) (OR=2.044, 95%CI 1.082–3.863, P=0.028), preoperative Cleveland score (OR=1.300, 95%CI 1.054–1.604, P=0.014) and intraoperative cardiopulmonary bypass time (OR=1.009, 95%CI 1.002–1.017, P=0.014).ConclusionThe incidence of AKI is higher after DHCA. Patients with postoperative AKI have longer hospital stay and higher risk of hospitalization death. The age of patients, BMI≥28 kg/m2, eGFR<90 mL/(min·1.73) m2, Cleveland score, intraoperative extracorporeal circulation time are independent risk factors for AKI after DHCA.
Objective To analyze the results of intra-aortic balloon pump (IABP) support in patients receiving coronary artery bypass graft (CABG) and the risk factors of postoperative death. Methods The clinical data of 334 patients undergoing CABG procedure and receiving IABP support in Fuwai Hospital from January 1999 to April 2012 were retrospectively analyzed. According to the IABP insertion timing, the patients were divided into three groups: pre-, intra- and postoperative IABP groups. There were 45 males and 11 females aged 60.5±10.7 years in the preoperative IABP group, 84 males and 23 females aged 61.1±8.4 years in the intraoperative IABP group and 119 males and 52 females aged 61.4±8.5 years in the postoperative IABP group.Outcomes of the three groups were compared, including mortality, major complications, ICU stay, hospital stay and total costs. Multivariable logistic regression analysis was used to predict independent risk factors for postoperative in-hospital death. Results The total in-hospital mortality was 16.8% (56/334). Mortality was significantly different among the pre-, intra- and postoperative IABP groups (3.6% vs.23.4%vs. 17.0%, P=0.006). There was no significant difference in complications among the three groups (P=0.960). Multivariable logistic regression analysis indicated that independent risk factors for postoperative mortality included old age (OR=1.05, P=0.040), female (OR=3.34, P<0.001) and increasing left ventricular end-diastolic diameter (LVEDD,OR=1.06, P=0.040). Preoperative IABP support was protective factor (OR=0.10, P=0.050). Conclusion The results of IABP support in CABG patients are satisfactory, and patients with preoperative IABP have a lower mortality. Risk factors for postoperative death include old age, female and increasing LVEDD. Preoperative IABP support is a protective factor.
ObjectiveTo analyze the clinical characteristics, risk factors, and drug resistance of pathogenic bacteria in patients with blood stream infections (BSI) after orthopedic surgery, so as to provide reference and basis for clinical diagnosis and treatment.MethodsA retrospective analysis was made on the clinical data of 6 348 orthopedic patients admitted for surgery between January 2017 and December 2019. There were 3 598 males and 2 750 females. Their age ranged from 18 to 98 years, with an average of 66 years. The data of patients were collected, and the risk factors of BSI were analyzed by univariate analysis and logistic regression analysis. The distribution of BSI pathogenic bacteria, the results of drug sensitivity test, the incidence of BSI in patients after orthopedic surgery in different years, and the common sites of BSI secondary infection were summarized.ResultsBSI occurred in 106 (1.67%) of 6 348 patients after orthopedic surgery. There were 71 cases (66.98%) of secondary infection. The mortality of postoperative BSI patients was 1.89%, and the difference was significant when compared with that of non-postoperative BSI patients (0.24%) (χ2=5.313, P=0.021). The incidences of BSI in 2017, 2018, and 2019 were 1.18%, 1.53%, and 2.17%, respectively, showing an increasing trend year by year (trend χ2=6.610, P=0.037). Statistical analysis showed that the independent risk factors for BSI after orthopedic surgery (P<0.05) included the trauma, length of hospital stay≥14 days, emergency surgery, postoperative leukocyte counting<4×109/L, level of hemoglobin≤90 g/L, albumin≤30 g/L, the time of indwelling ureter>24 hours, use of deep vein catheter insertion, and merging other site infection. Blood culture showed 56 strains (52.83%) of Gram-positive bacteria, 47 strains (44.34%) of Gram-negative bacteria, and 3 strains (2.83%) of fungi. The top three pathogenic bacteria were coagulase negative Staphylococci (CNS; 36 strains, 33.96%), Escherichia coli (16 strains, 15.09%), and Staphylococcus aureus (15 strains, 14.15%). The detection rates of extended-spectum β-lactamases producing strains of Escherichia coli and Klebsiella pneumoniae were 56.25% (9/16) and 44.44% (4/9), respectively. The detection rates of methicillin-resistant strains in Staphylococcus aureus and CNS were 46.67% (7/15) and 72.22% (26/36), respectively.ConclusionPostoperative BSI in orthopedic patients is caused by multiple factors. Preventive measures should be taken according to related risk factors and perioperative risk assessment should be strengthened. Staphylococcus and Escherichia coli are the most common pathogenic bacteria in BSI after orthopedic surgery. The infection rate and drug-resistant bacteria are increasing year by year. Therefore, drug resistance monitoring should be strengthened.
ObjectiveTo explore the independent risk factors for early failure of internal mammary artery grafts after coronary artery bypass grafting (CABG), and to construct and preliminarily evaluate a risk prediction model for the decline of internal mammary artery bridges, optimizing postoperative risk stratification and management strategies for patients. MethodsA retrospective analysis was conducted on patients who underwent CABG at Fuwai Hospital, Chinese Academy of Medical Sciences from January 2016 to January 2020. The primary endpoint was the failure of the internal mammary artery bridge one year after surgery, and the secondary endpoint was major adverse cardiac and cerebrovascular events (MACCE) within five years after surgery, including all-cause death, myocardial infarction, stroke, and revascularization. Patients were divided into a failure group and a non-failure group based on whether there was early failure of the internal mammary artery bridge after surgery. Independent risk factors for the failure of the internal mammary artery bridge were explored through the least absolute shrinkage and selection operator regression and multivariate logistic regression, and a failure risk prediction model was constructed and cross-validated. Patients were stratified for MACCE risk according to the total score of independent risk factors, and the 5-year cumulative MACCE-free rate was drawn using the Kaplan-Meier method. ResultsA total of 657 patients were included, among whom there were 54 patients in the failure group, including 38 males and 16 females, with an average age of (61.85±8.03) years; there were 603 patients in the non-failure group, including 467 males and 136 females, with an average age of (60.45±8.23) years. Multivariate logistic regression analysis showed that non-left main lesion [OR=3.28, 95%CI (1.41, 7.62), P=0.006], pulsatility index (PI)>3.0 [OR=2.63, 95%CI (1.20, 5.75), P=0.016], quantitative flow ratio (QFR)>0.80 [OR=5.57, 95%CI (2.98, 10.41), P<0.001] and in-hospital complications [OR=4.02, 95%CI (1.59, 10.19), P=0.003] were independent risk factors for the failure of internal mammary artery grafts after CABG. Compared with the prediction model in previous literature [area under receiver operating characteristic curve was 0.632, 95%CI (0.561, 0.694)], the risk prediction model constructed with QFR>0.80, PI>3.0, non-left main lesion and in-hospital complications had a higher predictive ability for early failure of internal mammary artery grafts [area under curve: 0.758, 95%CI (0.694, 0.820); net reclassification index: 0.272, 95%CI (0.180, 0.370); comprehensive discriminative improvement index: 0.109, 95%CI (0.059, 0.158); P<0.05]. The risk score of independent risk factors for internal mammary artery graft failure demonstrated significant MACCE risk stratification efficiency in the 5-year patient follow-up, with the high-risk group showing a significantly higher incidence of MACCE compared to the medium and low-risk groups (P=0.001). ConclusionQFR>0.80, PI>3.0, non-left main lesions, and in-hospital complications are independent risk factors for early failure of internal mammary artery grafts after CABG. The constructed risk prediction model based on this has preliminary capabilities in predicting the risk of internal mammary artery graft failure and MACCE risk stratification, which is beneficial for the postoperative management of CABG patients and improving their mid-long term prognosis.
ObjectiveTo explore the influencing factors affecting lymph nodes posterior to the right recurrent laryngeal nerve (LN-prRLN) metastasis in papillary thyroid carcinoma (PTC) and construct a clinical nomogram prediction model to provide a reference for LN-prRLN dissection decision-making. MethodsThe clinical data of PTC patients admitted to the General Surgery Department of Baoding No.1 Central Hospital from January 2021 to December 2023 were retrospectively analyzed. Among them, 325 patients underwent LN-prRLN dissection, and they were divided into non-metastatic group (269 cases) and metastasis group (56 cases) according to the presence or absence of LN-prRLN metastasis. By comparing the differences of clinical and pathological characteristics between the two groups, the risk factors of LN-prRLN metastasis were analyzed and discussed, and then the nomogram prediction model of LN-prRLN metastasis was constructed with the risk factors, and the effectiveness of the model was verified and evaluated. ResultsIn 325 patients, 56 cases (17.23%) occurred LN-prRLN metastasis. The results of univariate analysis showed that gender, extrathyroidal extension, lymph nodes anterior to right recurrent laryngeal nerve (LN-arRLN) metastasis, location of cancer focus, and lateral lymph node metastasis (LLNM) were related to LN-prRLN metastasis of PTC (P<0.05). Multivariate binary logistic regression analysis showed that male [OR=3.878, 95%CI (1.192, 12.615)], with extrathyroidal extension [OR=2.836, 95%CI (1.036, 7.759)], with LN-arRLN metastasis [OR=10.406, 95%CI (3.225, 33.926)], right cancer focus [OR= 5.632, 95%CI (1.812, 17.504)] and with LLNM [OR=3.426, 95%CI (1.147, 10.231)] were the risk factors of LN-prRLN metastasis. Receiver operating characteristic curves of nomogram prediction model based on the above risk factors showed that the area under the curve was 0.865, 95%CI was (0.795, 0.934), Jordan index was 0.729, sensitivity was 0.873, and specificity was 0.856, which had higher prediction value. The C-index of Bootstrap test was 0.840 [95%CI (0.755, 0.954) ]. Calibration curves showed that predictive value close to the ideal curve, had good consistency. The clinical decision curve analysis showed that the model had good clinical prediction effect on LN-prRLN metastasis of PTC. ConclusionsMale, extrathyroidal extension, LN-arRLN metastasis, right cancer focus and LLNM are independent risk factors for LN-prRLN metastasis of PTC. The nomogram prediction model based on the above independent risk factors has high discrimination and calibration, which is helpful for surgeons to make clinical decisions.
Objective To analyze and summarize the clinical characteristics of foreign body incarceration in upper digestive tract, and to explore the risk factors of its complications. Methods The clinical data of patients with foreign bodies in the upper digestive tract treated in the Affiliated Hospital of Zunyi Medical University between January 1, 2012 and December 31, 2021 were retrospectively analyzed, including demographic data, foreign body type, incarceration site, incarceration time, causes, symptoms, treatment methods and complications of foreign body incarceration. Logistic regression analysis was used to explore the risk factors of complications. Results A total of 721 patients were finally included, ranging in age from 3 months to 90 years old, with an average age of 26.76 years. The proportion of foreign bodies in the upper digestive tract in patients ≤14 years old was the highest (51.18%), and the duration of foreign body incarceration<12 hours was the highest (55.34%). The most common sharp foreign bodies in the upper digestive tract were animal bones (228 cases), and the most common round shaped foreign bodies were coins (223 cases). The most common impaction site was the upper esophageal segment (85.02%). 105 patients (14.56%) had complications, and perforation was the most common (5.55%). Logistic regression analysis showed that age [odds ratio (OR)=0.523, 95% confidence interval (CI) (0.312, 0.875), P=0.014], foreign body type [OR=0.520, 95%CI (0.330, 0.820), P=0.005], incarceration site [OR=2.347, 95%CI (1.396, 3.947), P=0.001], incarceration time [OR=0.464, 95%CI (0.293, 0.736), P=0.001] were the influencing factors of complications. Conclusions The majority of foreign bodies in the upper digestive tract are animal bones. The incidence of complications increase in patients with age ≥ 60 years, sharp foreign body edges, incarceration in the upper segment of the esophagus, and long incarceration time. It is recommended to remove the sharp foreign bodies incarcerated in the upper segment of the esophagus from the elderly as soon as possible.
ObjectiveThrough neuropsychological assessment, explore the factors that may cause cognitive impairment in patients with focal epilepsy.MethodsCollected 53 epilepsy patients in outpatients and inpatients of Tianjin Medical University General Hospital from March 2016 to January 2020, including 25 males and 28 females, with an average age of (23.58±13.24) years old, and the course of disease (6.49±7.39), all met the 2017 ILEA diagnostic criteria for focal epilepsy, and there was no history of progressive brain disease or brain surgery. Carry out relevant cognitive assessments for the enrolled patients, use SPSS statistical software to conduct Spearman correlation analysis on the cognitive functions of the study subjects, and further analyze the related factors of cognition through Logistic regression analysis to clarify the factors related to cognition whether it may be a risk factor for cognitive impairment in patients with focal epilepsy.Results Spearman correlation analysis showed that the FIQ of patients with focal epilepsy was related to education level, age of onset, seizure pattern, total number of seizures, AEDs and EEG interval discharge side (P<0.05). Binary Logistic regression analysis shows that among all cognitive-related factors, only the number of AEDs (P=0.003) and EEG interval discharge (P=0.013) are the risk of cognitive impairment in patients with focal epilepsy factor.ConclusionIn the clinical treatment of epilepsy, seizures should be actively controlled, but the types of drugs should be minimized. When there are more than 3 kinds of drugs, surgical treatment or other non-surgical treatments can be considered. At the same time, the EEG should be reviewed regularly to understand the changes in epileptiform discharges between episodes.