Zhonghua wei zhong bing ji jiu yi xue最新文献

{"title":"[Development and validation of a nomogram prediction model for in-hospital mortality risk in patients with sepsis complicated with acute pulmonary embolism].","authors":"Li Huang, Zhengbin Wang, Yan Zhang, Xiao Yue, Shuo Wang, Yanxia Gao","doi":"10.3760/cma.j.cn121430-20240918-00778","DOIUrl":"https://doi.org/10.3760/cma.j.cn121430-20240918-00778","url":null,"abstract":"<p><strong>Objective: </strong>To explore the risk factors affecting the prognosis of patients with sepsis complicated with acute pulmonary embolism, and to construct and validate a nomogram predictive model for in-hospital mortality risk.</p><p><strong>Methods: </strong>Based on the American Medical Information Mart for Intensive Care (MIMIC-III, MIMIC-IV) databases, the data were collected on patients with sepsis complicated with acute pulmonary embolism from 2001 to 2019, including baseline characteristics, and vital signs, disease scores, laboratory tests within 24 hours of admission to the intensive care unit (ICU), and interventions. In-hospital mortality was the outcome event. The total samples were divided into training and testing sets in a 7:3 ratio by random sampling. Univariate Cox regression analysis was used to verify the impact of all variables on the risk of in-hospital mortality, thereby screen potential influencing factors. Subsequently, a stepwise bi-directional regression method was applied to select factors one by one, leading to the construction of a nomogram prediction model. Collinearity testing was used to demonstrate the absence of strong multicollinearity among the influencing factors in the nomogram prediction model. The discrimination of the nomogram model, sequential organ failure assessment (SOFA), and simplified pulmonary embolism severity index (sPESI) was evaluated using C-index in the test set. Receiver operator characteristic curve (ROC curve) was drawn to evaluate the predictive value of various models for in-hospital mortality in patients with sepsis complicated with acute pulmonary embolism.</p><p><strong>Results: </strong>A total of 562 patients with sepsis complicated with acute pulmonary embolism were included, including 393 in the training set and 169 in the testing set. Univariate Cox regression analysis showed that 30 factors associated with in-hospital mortality in patients with sepsis complicated with acute pulmonary embolism. Through stepwise bi-directional regression, 12 variables were ultimately selected, including gender, presence of malignant tumors, body temperature, red cell distribution width (RDW), blood urea nitrogen (BUN), serum potassium, prothrombin time (PT), 24-hour urine output, mechanical ventilation, vasoactive drugs, warfarin use, and sepsis-induced coagulopathy (SIC). Collinearity testing indicated no strong multicollinearity among the influencing factors [all variance inflation factor (VIF) > 10]. A nomogram model was constructed using the 12 variables mentioned above. The nomogram model predicted the C-index and its 95% confidence interval (95%CI) of in-hospital mortality in patients with sepsis complicated with acute pulmonary embolism better than SOFA score and sPESI [0.771 (0.725-0.816) vs. 0.579 (0.519-0.639), 0.608 (0.554-0.663)]. The ROC curve showed that the area under the curve (AUC) and its 95%CI of the nomogram model were higher than those of the SOFA score and sPESI [","PeriodicalId":24079,"journal":{"name":"Zhonghua wei zhong bing ji jiu yi xue","volume":"37 2","pages":"123-127"},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143524679","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Evaluation value of C-reactive protein/albumin ratio combined with platelet count and Glasgow coma scale for prognosis of patients with heat stroke].","authors":"Shanshan Shi, Zhengzhen Wu, Yong Huang, Xianglei Fu","doi":"10.3760/cma.j.cn121430-20240607-00491","DOIUrl":"https://doi.org/10.3760/cma.j.cn121430-20240607-00491","url":null,"abstract":"<p><strong>Objective: </strong>To explore the prognostic value of C-reactive protein (CRP)/albumin (Alb) ratio combined with platelet count (PLT) and Glasgow coma score (GCS) in patients with heat stroke (HS).</p><p><strong>Methods: </strong>A retrospective analysis was conducted on the clinical data of HS patients admitted to the department of intensive care unit (ICU) of Nanchong Central Hospital from May 1, 2020 to October 31, 2023. This included general information, admission GCS, laboratory indicators and 28-day prognosis. The differences in the above indicators were compared between two groups of patients with different prognoses. Statistically significant indicators from univariate analysis were included in multivariate Logistic regression analysis to screen for factors influencing 28-day mortality in HS patients. The predictive value of various influencing factors on the 28 days prognosis of HS patients were analyzed by receiver operator characteristic curve (ROC curve).</p><p><strong>Results: </strong>A total of 73 HS patients were included, of whom 41 survived for 28-day and 32 died. There were no statistically significant differences in gender and age between the two groups of HS patients with different prognoses. The white blood cell count (WBC), neutrophil count (NEU), aspartate aminotransferase (AST), alanine aminotransferase (ALT), CRP, and CRP/Alb ratio in the death group were significantly higher than those of the survival group, and the admission GCS score, platelet count (PLT), total bilirubin (TBil) and Alb were significantly lower than the survival group [WBC (×10<sup>9</sup>/L): 14.80 (11.44, 17.15) vs. 11.96 (9.47, 14.82), NEU (×10<sup>9</sup>/L): 13.05 (8.56, 15.67) vs. 9.50 (6.68, 12.09), AST (U/L): 108.00 (52.70, 291.50) vs. 64.50 (38.25, 110.50), ALT (U/L): 62.00 (19.50, 159.00) vs. 34.50 (20.75, 70.75), CRP (mg/L): 22.49 (3.42, 58.93) vs. 3.68 (1.01, 11.46), CRP/Alb ratio: 0.53 (0.08, 1.77) vs. 0.08 (0.02, 0.44), GCS score: 7.0 (5.0, 8.0) vs. 8.5 (7.0, 11.0), PLT (×10<sup>9</sup>/L): 107.00 (73.50, 126.00) vs. 131.50 (107.50, 176.25), TBil (mmol/L): 15.60 (10.00, 25.30) vs. 21.40 (14.80, 30.05), Alb (g/L): 32.65 (32.53, 49.30) vs. 38.70 (36.20, 40.40), all P < 0.05]. Binary Logistic regression analysis showed that the GCS score [odds ratio (OR) = 0.686, 95% confidence interval (95%CI) was 0.491-0.959, P = 0.028], PLT (OR = 0.973, 95%CI was 0.954-0.992, P = 0.005), NEU (OR = 1.312, 95%CI was 1.072-1.606, P = 0.009) and CRP/Alb ratio (OR = 7.652, 95%CI was 1.632-35.881, P = 0.010) were independent influencing factors for 28-day mortality in HS patients. ROC curve analysis showed that the area under the curve (AUC) of GCS score, PLT, and CRP/Alb ratio for single prediction of 28-day prognosis in HS patients was 0.705, 0.752, and 0.729, and the combination of all three predicted the highest AUC of 28-day prognosis in HS patients (0.917), with a sensitivity and specificity of 86.2% and 81.2%, respectively.</p><p><strong>Con","PeriodicalId":24079,"journal":{"name":"Zhonghua wei zhong bing ji jiu yi xue","volume":"37 2","pages":"160-164"},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143524701","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Establishing of mortality predictive model for elderly critically ill patients using simple bedside indicators and interpretable machine learning algorithms].","authors":"Yulan Meng, Jiaxin Li, Xinqiang Shan, Pengyu Lu, Wei Huang","doi":"10.3760/cma.j.cn121430-20240729-00640","DOIUrl":"https://doi.org/10.3760/cma.j.cn121430-20240729-00640","url":null,"abstract":"<p><strong>Objective: </strong>To explore the feasibility of incorporating simple bedside indicators into death predictive model for elderly critically ill patients based on interpretability machine learning algorithms, providing a new scheme for clinical disease assessment.</p><p><strong>Methods: </strong>Elderly critically ill patients aged ≥ 65 years who were hospitalized in the intensive care unit (ICU) of Tacheng People's Hospital of Ili Kazak Autonomous Prefecture from June 2017 to May 2020 were retrospectively selected. Basic parameters including demographic characteristics, basic vital signs and fluid intake and output within 24 hours after admission, as well acute physiology and chronic health evaluation II (APACHE II), Glasgow coma score (GCS) and sequential organ failure assessment (SOFA) were also collected. According to outcomes in hospital, patients were divided into survival group and death group. Four datasets were constructed respectively, namely baseline dataset (B), including age, body temperature, heart rate, pulse oxygen saturation, respiratory rate, mean arterial pressure, urine output volume, infusion volume, and crystal solution volume; B+APACHE II dataset (BA), B+GCS dataset (BG), and B+SOFA dataset (BS). Then three machine learning algorithms, Logistic regression (LR), extreme gradient boosting (XGboost) and gradient boosting decision tree (GBDT) were used to develop the corresponding mortality predictive models within four datasets. The feature importance histogram of each prediction model was drawn by SHapley additive explanation (SHAP) method. The area under curve (AUC), accuracy and F1 score of each model were compared to determine the optimal prediction model and then illuminate the nomogram.</p><p><strong>Results: </strong>A total of 392 patients were collected, including 341 in the survival group and 51 in the death group. There were statistically significant differences in heart rate, pulse oxygen saturation, mean arterial pressure, infusion volume, crystal solution volume, and etiological distribution between the two groups. The top three causes of death were shock, cerebral hemorrhage, and chronic obstructive pulmonary disease. Among the 12 prognostic models trained by three machine learning algorithms, overall performance of prognostic models based on B dataset was behind, whereas the LR model trained by BA dataset achieved the best performance than others with AUC of 0.767 [95% confidence interval (95%CI) was 0.692-0.836], accuracy of 0.875 (95%CI was 0.837-0.903) and F1 score of 0.190. The top 3 variables in this model were crystal solution volume with first 24 hours, heart rate and mean arterial pressure. The nomogram of the model showed that the total score between 150 and 230 were advisable.</p><p><strong>Conclusion: </strong>The interpretable machine learning model including simple bedside parameters combined with APACHE II score could effectively identify the risk of death in elderly patients with criti","PeriodicalId":24079,"journal":{"name":"Zhonghua wei zhong bing ji jiu yi xue","volume":"37 2","pages":"170-176"},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143524699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Current practice, prognostic risk factors and management strategies of pre-hospital extracorporeal cardiopulmonary resuscitation in China].","authors":"Liangliang Zhou, Jianjun Chen, Jing Wu, Yijun Deng, Renyu Ding","doi":"10.3760/cma.j.cn121430-20240711-00586","DOIUrl":"https://doi.org/10.3760/cma.j.cn121430-20240711-00586","url":null,"abstract":"<p><p>With the gradual development and popularization of extracorporeal membrane oxygenation (ECMO) in China, some prefecture-level medical institutions in China have carried out and formed their own pre-hospital extracorporeal cardiopulmonary resuscitation (ECPR) model. Although the development levels of various prefecture-level cities are uneven and the start times vary, at present, the prefecture-level hospitals in China generally go through the development process of ECMO-in-hospital ECPR-pre-hospital ECPR-professional medical recovery center. Among them, in-hospital ECPR has the advantages of timely resuscitation, guaranteed quality of resuscitation, and fast activation speed of the ECPR team, and currently has a high success rate, with a low proportion of patients with neurological complications. However, pre-hospital ECPR is more challenging, requiring the coordination between pre-hospital and in-hospital emergency forces, multidisciplinary cooperation, and the quality of resuscitation before ECPR cannot be fully guaranteed, the long duration of patient's low perfusion, and other factors make the survival rate of patients without neurological damage obviously lower than that of in-hospital ECPR. China has a large population base, and comprehensive domestic and foreign data show that there should be no less than several million cases of out-of-hospital cardiac arrest under the age of 60 every year, so there is much to be done to improve the survival rate of pre-hospital ECPR. Pre-hospital ECPR is a project of concentrated resources and technology, which has high requirements for the multidisciplinary diagnosis and treatment capabilities of medical institutions. The optimization of the implementation process of in-hospital and pre-hospital ECPR teams, the advancement of the timing of ECPR intervention, the selection of patients, the support and construction of multidisciplinary diagnosis and treatment capabilities after ECPR, and the management of related complications and risk factors are closely related to the prognosis of ECPR patients. The recoverability of the brain and heart is currently the key factor restricting the further improvement of the survival rate of patients after ECPR. Considering that the recovery of neurological function mainly depends on the duration of the early low perfusion, the in-hospital treatment after the implementation of ECPR is mainly the low-temperature brain protection strategy, the effect of which is still controversial, so the recovery of cardiac function is the key that seriously restricts the survival of patients after ECPR in addition to neurological prognosis. The recoverability of the heart after ECPR can be implemented from multiple angles: the research on pathophysiological issues such as the matching of the heart itself after the implementation of ECPR, and the matching between the heart and ECMO, and the proposal of corresponding countermeasures will help to improve the survival rate of patients ","PeriodicalId":24079,"journal":{"name":"Zhonghua wei zhong bing ji jiu yi xue","volume":"37 2","pages":"103-110"},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143524669","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Distribution of pathogens in patients with ventilator-associated pneumonia and their association with Dectin-1/Syk signaling pathway].","authors":"Huili Guo, Qinghua Lin, Ruirui Zhu, Lianzhen Qi","doi":"10.3760/cma.j.cn121430-20231027-00913","DOIUrl":"https://doi.org/10.3760/cma.j.cn121430-20231027-00913","url":null,"abstract":"<p><strong>Objective: </strong>To analyze the pathogens distribution in patients with ventilator-associated pneumonia (VAP), and their association with anti-β-glucan receptor-1 (Dectin-1)/spleen tyrosine kinase (Syk) signaling pathway, and to provide scientific basis for formulating more effective treatment strategies and preventive measures.</p><p><strong>Methods: </strong>A prospective study was conducted. 160 patients with VAP admitted to the department of critical care medicine of Xingtai People's Hospital from January 2021 to March 2023 were enrolled. The respiratory secretions of patients were collected for Candida colonization analysis, and then the bacteria in the respiratory secretions were identified by automatic microbial identification instrument. The expression levels of Dectin-1 and Syk in peripheral blood mononuclear cells were detected by fluorescent immunopolymerase chain reaction. Clinical pulmonary infection score (CPIS) was performed based on imaging, clinical and microbiological criteria. The basic data, pathogen distribution, Dectin-1 and Syk expression levels and CPIS score of the two groups were compared. Spearman test was used to analyze the correlation between the expression levels of Dectin-1 and Syk and respiratory Candida colonization and CPIS score.</p><p><strong>Results: </strong>160 VAP patients, 97 were Candida colonized (colonized group) and 63 were not (non-colonized group). There were significantly differences in gender (males: 57.73% vs. 41.27%, P = 0.042) and age (years: 57.98±12.46 vs. 62.09±10.61, P = 0.029) between the colonized group and the non-colonized group, while there were no significantly differences in the data of duration of mechanical ventilation, underlying diseases and primary diseases. The distribution of pathogenic bacteria showed that the infection rate of Staphylococcus aureus in the colonized group was significantly higher than that in the non-colonized group (24.74% vs. 7.94%, P < 0.05), and there was no significantly difference in the infection rate of other G-positive and G-negative bacteria between the two groups. The CPIS score in the colonized group was significantly higher than that in the non-colonized group (8.73±0.43 vs. 7.31±0.39, P < 0.01), and the expression levels of Dectin-1 and Syk in peripheral blood mononuclear cells were significantly higher than those in the non-colonized group (Dectin-1/U6: 0.86±0.22 vs. 0.47±0.16, Syk/U6: 0.77±0.18 vs. 0.42±0.11, both P < 0.01). The expression levels of Dectin-1 and Syk in peripheral blood mononuclear cells of VAP patients were significantly positively correlated with the colonization of respiratory Candida (r values were 0.754 and 0.631, respectively, both P < 0.05), and were significantly positively correlated with CPIS score (r values were 0.594 and 0.618, respectively, both P < 0.05).</p><p><strong>Conclusion: </strong>The proportion of Staphylococcus aureus in VAP patients with respiratory Candida colonization is higher, and Dec","PeriodicalId":24079,"journal":{"name":"Zhonghua wei zhong bing ji jiu yi xue","volume":"37 2","pages":"128-132"},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143524690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[The advances on autophagy the pathogenesis and treatment in septic acute kidney injury].","authors":"Ziyou Tian, Jie Zhang, Shiqi Nie, Daihua Deng, Zhu Li, Lili Tang, Xiaoyue Li","doi":"10.3760/cma.j.cn121430-20240904-00748","DOIUrl":"https://doi.org/10.3760/cma.j.cn121430-20240904-00748","url":null,"abstract":"<p><p>Sepsis is a life-threatening organ dysfunction syndrome caused by a dysregulated host response to infection. Septic acute kidney injury (SAKI) is one of the most common complications of sepsis, and the occurrence of acute kidney injury (AKI) indicates that the patient's condition is critical with a poor prognosis. The traditional view holds that the main mechanism of SAKI is the reduction of renal blood flow, inadequate renal perfusion, inflammatory response, and microcirculatory dysfunction caused by sepsis, which subsequently leads to ischemia and necrosis of renal tubular cells. Recent research findings indicate that processes such as autophagy and other forms of programmed cell death play an increasingly important role. Autophagy is a programmed intracellular degradation process and is a form of programmed cell death. Cells degrade their cytoplasmic components via lysosomes, breaking down and recycling intracellular constituents to meet their metabolic needs, maintain intracellular homeostasis, and renew organelles. During SAKI, autophagy plays a crucial protective role through various mechanisms, including regulating inflammation and immune responses, clearing damaged organelles, and maintaining stability in the intracellular environment. In recent years, the role of autophagy in the pathogenesis and treatment of SAKI has received widespread attention. Research has confirmed that various intracellular signaling pathways and signaling molecules targeting autophagy [such as mammalian target of rapamycin (mTOR) signaling pathway, AMP-activated protein kinase (AMPK) signaling pathway, nuclear factor-κB (NF-κB) signaling pathway, and Sirtuins (SIRT), autophagy associated factor Beclin-1, and Toll-like receptor (TLR)] are involved in the development of SAKI. Due to the complex pathogenesis of SAKI, current treatment strategies include fluid management, infection control, maintenance of internal environment balance, and renal replacement therapy; however, the mortality remains high. In recent years, it has been found that autophagy plays a critical protective role in sepsis-mediated AKI. As a result, an increasing number of drugs are being developed to alleviate SAKI by regulating autophagy. This article reviews the latest advances in the role of autophagy in the pathogenesis and treatment of SAKI, with the aim of providing insights for the development of new drugs for SAKI patients.</p>","PeriodicalId":24079,"journal":{"name":"Zhonghua wei zhong bing ji jiu yi xue","volume":"37 2","pages":"183-187"},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143524720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Early lactate/albumin ratio combined with quick sequential organ failure assessment for predicting the prognosis of sepsis caused by community-acquired pneumonia in the emergency department].","authors":"Xinyan Zhang, Yingbo An, Yezi Dong, Min Li, Ran Li, Jinxing Li","doi":"10.3760/cma.j.cn121430-20240709-00577","DOIUrl":"10.3760/cma.j.cn121430-20240709-00577","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Objective: &lt;/strong&gt;To investigate the predictive value of early lactate/albumin ratio (LAR) combined with quick sequential organ failure assessment (qSOFA) for the 28-day prognosis of patients with sepsis caused by emergency community-acquired pneumonia (CAP).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;The clinical data of patients with sepsis caused by CAP admitted to the department of emergency of Beijing Haidian Hospital from June 2021 to August 2022 were retrospectively analyzed, including gender, age, comorbidities, lactic acid (Lac), serum albumin (Alb), LAR, procalcitonin (PCT) within 1 hour, and 28-day prognosis. Patients were divided into two groups based on 28-day prognosis, and risk factors affecting patients' prognosis were analyzed using univariate and multivariate Cox regression methods. Patients were divided into two groups according to the best cut-off value of LAR, and Kaplan-Meier survival curves were used to analyze the 28-day cumulative survival of patients in each group. Time-dependent receiver operator characteristic curve (ROC curve) were plotted to analyze the predictive value of sequential organ failure assessment (SOFA), acute physiology and chronic health evaluation II (APACHE II), and qSOFA+LAR score on the prognosis of patients with sepsis caused by CAP at 28 days. The area under the curve (AUC) was calculated and compared.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;A total of 116 patients with sepsis caused by CAP were included, of whom 80 survived at 28 days and 36 died, 28-day mortality of 31.0%. There were no statistically significant differences in age, gender, comorbidities, pH, platelet count, and fibrinogen between the survival and death groups, and there were significantly differences in blood urea nitrogen (BUN), white blood cell count (WBC), hemoglobin, Lac, Alb, PCT, D-dimer, LAR, as well as qSOFA score, SOFA score, and APACHE II score. Univariate Cox regression analyses showed that BUN, WBC, pH, Lac, Alb, PCT, LAR, qSOFA score, SOFA score, and APACHE II score were associated with mortality outcome. Multifactorial Cox regression analysis of the above variables showed that BUN, WBC, PCT, and APACHE II score were independent risk factors for 28-day death in the emergency department in patients with sepsis caused by CAP [hazard ratio (HR) were 1.081, 0.892, 1.034, and 1.135, respectively, all P &lt; 0.05]. The best cut-off value of early LAR for predicting the 28-day prognosis of sepsis patients was 0.088, the Kaplan-Meier survival curve showed that the 28-day cumulative survival rate of sepsis patients in the LAR ≤ 0.088 group was significantly higher than that in the LAR &gt; 0.088 group [82.9% (63/76) vs. 42.5% (17/40), Log-Rank test: χ&lt;sup&gt;2&lt;/sup&gt; = 22.51, P &lt; 0.001]. The qSOFA+LAR score was calculated based on the LAR cut-off value and qSOFA score, and ROC curve analysis showed that the AUCs of SOFA score, APACHE II score, and qSOFA+LAR score for predicting 28-day death of patients with sepsis caued by CAP were 0.741, 0","PeriodicalId":24079,"journal":{"name":"Zhonghua wei zhong bing ji jiu yi xue","volume":"37 2","pages":"118-122"},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143524694","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Current situation investigation and analysis of influencing factors on the long-term quality of life of cured and discharged patients with severe acute pancreatitis].","authors":"Wenjun Zhou, Pinjie Zhang, Weili Yu, Zhonghua Lu, Mingjuan Li, Lijun Cao, Lu Fu, Shaokang Wang, Yun Sun","doi":"10.3760/cma.j.cn121430-20240626-00540","DOIUrl":"https://doi.org/10.3760/cma.j.cn121430-20240626-00540","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Objective: &lt;/strong&gt;To investigate the current status of long-term quality of life in patients with severe acute pancreatitis (SAP) who have been cured and discharged, and to analyze the influencing factors affecting long-term quality of life in SAP cured patients after discharge.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;A retrospective collection was conducted. Patients who were received standardized treatment before being cured and discharged from the hospital admitted to the first department of critical care medcine of the Second Affiliated Hospital of Anhui Medical University from January 2017 to December 2023 were enrolled. According to the 36-item short form health survey scale (SF-36) score, patients were divided into high score group (high quality of life, the top 50% of patients with total SF-36 score) and low score group (low quality of life, the bottom 50% of patients with total SF-36 score). The gender, age, history of hypertension and diabetes, etiology of pancreatitis, acute physiology and chronic health evaluation II (APACHE II), sequential organ failure assessment (SOFA), CT severity index (CTSI), laboratory indicators such as C-reactive protein (CRP), procalcitonin (PCT), blood glucose, and triglycerides upon admission, use of vasoactive drugs, non-invasive/high-flow ventilation, invasive ventilation, retroperitoneal puncture and drainage, open pancreatic surgery treatment and secondary infection during hospitalization were collected, as well as the retention of abdominal drainage tubes at discharge from hospital. Distribute follow-up questionnaires or telephone follow-up surveys through WeChat and Question Star programs to investigate the pancreatic secretion function, chronic abdominal pain, and recurrence of pancreatitis of patients after discharge. Multivariable Logistic regression was used to analyze the relevant factors affecting the long-term quality of life of cured patients with SAP.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;A total of 86 patients were ultimately enrolled. There were 43 patients in both the high and low score groups. Among 86 patients, 20 experienced acute pancreatitis recurrence, with a recurrence rate of 23.26%. Twenty-two (25.58%) experienced chronic abdominal pain after discharge, and 5 patients (5.81%) needed medication to relieve pain. Thirty-three patients (38.37%) had pancreatic exocrine dysfunction after discharge, characterized by abdominal distension, constipation or diarrhea. Twenty-two patients (25.58%) suffered from pancreatic endocrine dysfunction, and were diagnosed with diabetes. Univariate analysis showed that compared with the high score group, the low score group had more patients with hypertension, initial renal dysfunction, initial severe metabolic acidosis, initial serum calcium &lt; 2.0 mmol/L, blood glucose &gt; 11.1 mmol/L and cultured Gram positive bacteria (from blood/body fluid/pancreatic necrotic tissue) during treatment (48.84% vs. 16.28%, 60.47% vs. 32.56%, 18.60% vs. 4.65%, 88.37% vs. ","PeriodicalId":24079,"journal":{"name":"Zhonghua wei zhong bing ji jiu yi xue","volume":"37 2","pages":"146-152"},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143524672","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Research advancements on the role of long non-coding RNA in ventilator-induced lung injury].","authors":"Zhijiang Fu, Leilei Zhou, Xianming Zhang","doi":"10.3760/cma.j.cn121430-20240802-00660","DOIUrl":"https://doi.org/10.3760/cma.j.cn121430-20240802-00660","url":null,"abstract":"<p><p>Mechanical ventilation is commonly employed for respiratory support in patients with respiratory failure. Despite the optimization of ventilator parameters and treatment methods, mechanical ventilation can still lead to both acute and chronic lung injury in patients with acute respiratory distress syndrome (ARDS) as well as in those without ARDS, a phenomenon referred to as ventilator-induced lung injury (VILI). VILI can be categorized into four types: barotrauma, volumetric injury, atelectasis injury, and biotic injury. Among these, biotic injury, characterized by inflammation, plays a significant role in the pathogenesis of VILI. Numerous studies have investigated the inflammatory mechanisms underlying VILI; however, these mechanisms remain complex and not entirely understood. At present, clinical practice lacks specific prevention and treatment strategies for VILI, aside from the implementation of protective ventilation strategies. Long non-coding RNAs (lncRNA) are a category of non-coding RNA longer than 200 nucleotides. LncRNAs regulate physiological and pathological processes such as cell proliferation, apoptosis, inflammatory response, and immune regulation, this regulation occurs through mechanisms such as modulating gene activity, inhibiting specific states, assisting in transcription initiation, affecting pre-mRNA splicing modifications, influencing translation processes, and expressing biofunctional peptides. They play an important role in the course of multiple diseases. Studies have shown that compared with control animals and cell models, lncRNAs are differentially expressed in VILI animal models and cell stretch models. Experiments have verified that certain lncRNAs play a crucial role in the pathogenesis of VILI by regulating the expression of inflammatory factors, the transformation of macrophage types, neutrophil activation, and cell apoptosis. Given the adverse effects of VILI on mechanical ventilation in critically ill patients, the important role of lncRNAs in biological regulation, and the urgent need to explore more effective strategies for the prevention and treatment of VILI, this paper summarizes the mechanisms through which lncRNA contributes to the VILI process, and discusses its possibility as a diagnostic and therapeutic target of VILI, in order to provide a reference for the clinical treatment of VILI.</p>","PeriodicalId":24079,"journal":{"name":"Zhonghua wei zhong bing ji jiu yi xue","volume":"37 2","pages":"188-192"},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143524709","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Summary and interpretation of the Improving outcomes after post-cardiac arrest brain injury: a scientific statement from the International Liaison Committee on Resuscitation].","authors":"Aolin Xia, Tianfeng Hua, Min Yang","doi":"10.3760/cma.j.cn121430-20240921-00782","DOIUrl":"https://doi.org/10.3760/cma.j.cn121430-20240921-00782","url":null,"abstract":"<p><p>Post-cardiac arrest brain injury (PCABI) remains the main cause of death and poor prognosis in patients after resuscitation. In June 2024, the International Liaison Committee on Resuscitation (ILCOR) released a scientific statement on improving the prognosis of PCABI based on relevant research progress. The statement proposed the pathological mechanism of PCABI, explored the reasons why previous preclinical data could not be translated into clinical practice, and outlined possible future directions for advancement. This article interprets the key content of the 2024 ILCOR scientific statement on improving the prognosis of PCABI, hoping to provide reference and assistance for domestic medical staff to understand and apply this scientific statement.</p>","PeriodicalId":24079,"journal":{"name":"Zhonghua wei zhong bing ji jiu yi xue","volume":"37 2","pages":"97-102"},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143524714","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}