Objective To explore the thromboembolic events and mortality in patients with different types of severe pneumonia, and to analyze the related high-risk factors. Methods A total of 161 severe pneumonia patients who admitted in intensive care unit from January 2018 to February 2023 were included in the study. The patients were divided into a COVID-19 group (n=88) and a community-acquired pneumonia (CAP) group (n=73) according to the type of pneumonia, and divided into a thrombosis group and a non-thrombosis group according to the occurrence of thrombosis. The patients were followed-up until discharge or in-hospital death, registering the occurrence of thrombotic events. Results During the in-hospital stay, 32.9% of CAP and 36.4% of COVID-19 patients experienced thrombotic events (P>0.05). In CAP group all the events (including 24 paitents) were venous thromboses, while in COVID-19 group 31 patients were venous and 3 were arterial thromboses (2 were cerebral infarction, and 1 with myocardial infarction). There were statistically significant difference in gender, age, venous thromboembolism score (VTE score), activated partial thromboplastin time (APTT), and procalcitonin (PCT) between the TE group and the Non-TE group. Logistic regression analysis showed that thrombotic events was associated with sex, age and APTT; gender (female: OR=2.47, 95%CI 1.13 - 5.39, P<0.05) and age (OR=1.04, 95%CI 1.01 - 1.07, P<0.05) were positively associated with thrombotic events. During the in-hospital follow-up, 44.3% of CAP patients and 42.5% of COVID-19 patients died (P>0.05). Receiver operator characteristic (ROC) curve analysis showed that APACHEⅡ score was more accurate in predicting mortality of severe pneumonia, and the area under the ROC curve (AUC) was 0.77 (95%CI 0.70 - 0.84, sensitivity 74.3%, specificity 68.1%), the AUC of the VTE score was 0.61 (95%CI 0.53 - 0.70, Sensitivity 31.4%, specificity 81.7%); the AUC of the creatinine was 0.64 (95%CI 0.56 - 0.73, sensitivity 72.9%, specificity 51.2%). While the Kappa value for kidney disease was 0.409 (P<0.05) presenting moderate consistency. Conclusions The incidence of thromboembolic events and mortality are high in patients with different types of severe pneumonia. Thrombophilia was associated with sex, age, and APTT. APACHEⅡ score, VTE score, and creatinine value were independent risk factors for predicting death from severe pneumonia.
為了解我國南方地區肺栓塞的現狀,通過檢索中國醫院數字圖書館近9年(1999年～2008年)南方地區正式發表的與肺栓塞和深靜脈血栓有關的論文共1288篇,進行了統計分析,發現:1、中國南方地區肺栓塞的發現數量逐年增加,且增幅明顯;2、診斷水準達到一定程度的部分南方醫院,診斷治療肺栓塞的數量明顯高于其他醫院,并不比中國北方同類醫院低;3、肺栓塞的漏診、誤診現象依然普遍存在,提高認知和診治水準仍然是今后工作的方向。
Objective To explore the causal association between obstructive sleep apnea (OSA) and venous thromboembolism (VTE). Methods Using the summary statistical data from the FinnGen biological sample library and IEU OpenGWAS database, the relationship between OSA and VTE, including deep vein thrombosis (DVT) and pulmonary embolism, was explored through Mendelian randomization (MR) method, with inverse variance weighted (IVW) as the main analysis method. Results The results of univariate MR analysis using IVW method showed that OSA was associated with VTE and pulmonary embolism (P<0.05), with odds ratios and 95% confidence intervals of 1.204 (1.067, 1.351) and 1.352 (1.179, 1.544), respectively. There was no correlation with DVT (P>0.05). Multivariate MR analysis showed that after adjustment for confounding factors (smoking, diabetes, obesity and cancer), OSA was associated with VTE, DVT and pulmonary embolism (P<0.05), with odds ratios and 95% confidence intervals of 1.168 (1.053, 1.322), 1.247 (1.064, 1.491) and 1.158 (1.021, 1.326), respectively. Conclusion OSA increases the risk of VTE, DVT, and pulmonary embolism.
目的 探討圍手術期患者靜脈血栓預防的分級護理方法，為靜脈血栓的預防提供實證依據。 方法 2009年5月－2012年1月，以某市級乙等綜合性醫院各科室手術患者為對象，引入量化工具評估患者圍手術期靜脈血栓發生的危險，并根據評估結果采取分級護理方法進行防治，并在患者出院時用彩色多普勒超聲判斷是否存在靜脈血栓，以驗證分級護理防治效果。 結果 納入的318患者經評估均存在發生靜脈血栓的風險，其中低度危險患者65例，中度182例，高度危險71例。經分級護理治療，出院時均未發生靜脈血栓癥狀、肺栓塞。 結論 分級護理方法安全、簡便，可操作性強，便于圍手術期患者靜脈血栓的早期、普遍預防，值得推廣。
Objective To describe the clinical profiles of cardiac arrest due to fatal pulmonary embolism (FPE), and review the literature on FPE diagnosis and treatment. Methods The clinical profiles of two cases with cardiac arrest for FPE were presented. A systematic search of Medline (1950 - 2014) and EMbase (1980-2014) was conducted to identify studies that investigated the use of thrombolytic medications to treat cardiac arrest for FPE. Results The fatal event of two patients occurred after surgery. Both of them survived with cardiopulmonary resuscitation and administration of thrombolysis and anticoagulation, but one of them had major bleeding during anticoagulation. Six articles were found involving 72473 cases of cardiac arrest due to pulmonary embolism (PE) or unstable massive PE. The thrombolytic agents were recombinant tissue plasminogen activator or streptokinase, but the administration and dose of thrombolytic agents were unclear. Overall, administration of thrombolytics can shorten the time to return of spontaneous circulation and improve the survival rate. There was, however, an increased risk of bleeding events following administration of thrombolytics. Conclusions Because of the high mortality of cardiac arrest for FPE, the clinician should correctly identify patients with a high likelihood of FPE. Early use of thrombolytics is very important and can potentially improve patient outcomes.
ObjectiveTo evaluate the use of machine learning algorithms for the prediction and characterization of cardiac thrombosis in patients with valvular heart disease and atrial fibrillation. MethodsThis article collected data of patients with valvular disease and atrial fibrillation from West China Hospital of Sichuan University and its branches from 2016 to 2021. From a total of 2 515 patients who underwent valve surgery, 886 patients with valvular disease and atrial fibrillation were included in the study, including 545 (61.5%) males and 341 (38.5%) females, with a mean age of 55.62±9.26 years, and 192 patients had intraoperatively confirmed cardiac thrombosis. We used five supervised machine learning algorithms to predict thrombosis in patients. Based on the clinical data of the patients (33 features after feature screening), the 10-fold nested cross-validation method was used to evaluate the predictive effect of the model through evaluation indicators such as area under the curve, F1 score and Matthews correlation coefficient. Finally, the SHAP interpretation method was used to interpret the model, and the characteristics of the model were analyzed using a patient as an example. ResultsThe final experiment showed that the random forest classifier had the best comprehensive evaluation indicators, the area under the receiver operating characteristic curve was 0.748±0.043, and the accuracy rate reached 79.2%. Interpretation and analysis of the model showed that factors such as stroke volume, peak mitral E-wave velocity and tricuspid pressure gradient were important factors influencing the prediction. ConclusionThe random forest model achieves the best predictive performance and is expected to be used by clinicians as an aided decision-making tool for screening high-embolic risk patients with valvular atrial fibrillation.
ObjectiveTo investigate therapeutic strategy of acute pulmonary embolism. MethodsClinical data of 48 patients with acute pulmonary embolism who were treated in Affiliated Hospital of North Sichuan Medical College form January 2009 to May 2014 were analyzed retrospectively. ResultsOf the 48 cases, 14 cases of low risk (low risk group) were treated with anticoagulation, 24 cases of middle risk (middle risk group) were treated with anticoagulation and systematic thrombolysis or interventional therapy (local thrombolysis after thrombus fragmentation or thrombolytic catheter placement in pulmonary artery), 10 cases of high risk (high risk group) were treated with anticoagulation and interventional therapy. In low risk group, 12 cases (85.7%) were cured and 2 cases (14.3%) were markedly effective, and total effective rate was 100%. In middle risk group, 16 cases (66.7%) were cured and 8 cases (33.3%) were markedly effective, and total effective rate was 100%. In high risk group, 1 case died, 3 cases were cured, 2 cases were markedly effective, and 4 cases were better, and the total effective ratio was 9/10. All cases suffered from no complication such as hemorrhage of cerebral and digestive system. Forty-eight cases were followed up for 3-12 months, with a median time of 8 months. During the follow-up period, there was no complication occurred such as dyspnea, pulmonary embolism, placement change of filter net, and thrombosis. ConclusionsCorresponding therapeutic strategy would be taken according to risk stratification of the acute pulmonary embolism.